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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">CC</journal-id>
<journal-id journal-id-type="nlm-ta">Cardiol Croat</journal-id>
<journal-title-group>
<journal-title>Cardiologia Croatica</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Cardiol. Croat.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="ppub">1848-543X</issn>
<issn pub-type="epub">1848-5448</issn>
<publisher><publisher-name>Croatian Cardiac Society</publisher-name></publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">CC 2020 15_7-8_167-88</article-id>
<article-id pub-id-type="doi">10.15836/ccar2020.167</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Review article</subject></subj-group>
</article-categories>
<title-group>
<article-title>The year in cardiology: heart failure&#x2028;The year in cardiology 2019</article-title>
<trans-title-group xml:lang="HR">
<trans-title>Godina 2019. u kardiologiji: zatajivanje srca</trans-title>
</trans-title-group>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1471-7016</contrib-id><name><surname>Cleland</surname><given-names>John G.F.</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff3"><sup>3</sup></xref><xref ref-type="corresp" rid="cor1">*</xref></contrib>
<contrib contrib-type="author"><name><surname>Lyon</surname><given-names>Alexander R.</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>McDonagh</surname><given-names>Theresa</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>McMurray</surname><given-names>John J.V.</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib>
<aff id="aff1"><label>1</label>Robertson Centre for Biostatistics and Clinical Trials, <institution>University of Glasgow</institution>, <addr-line>Glasgow</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff2"><label>2</label>National Heart &amp; Lung Institute, <institution>Imperial College</institution>, <addr-line>London</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff3"><label>3</label>British Heart Foundation Cardiovascular Research Centre, <institution>University of Glasgow</institution>, <addr-line>Glasgow</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff4"><label>4</label><institution>Royal Brompton Hospital</institution>, <addr-line>London</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff5"><label>5</label><institution>King&#x2019;s College Hospital</institution>, <addr-line>London</addr-line>, <country>United Kingdom</country></aff>
<aff id="aff6"><label>6</label><institution>King&#x2019;s College London</institution>, <addr-line>London</addr-line>, <country>United Kingdom</country></aff>
</contrib-group>
<author-notes><corresp id="cor1"><label>*</label>ADDRESS FOR CORRESPONDENCE: John G.F. Cleland, Robertson Centre for Biostatistics and Clinical Trials, University of Glasgow, Glasgow G12 8QQ, United Kingdom. / Phone: +44-141-330-5299 / E-mail: <email xlink:href="john.cleland@glasgow.ac.uk">john.cleland@glasgow.ac.uk</email></corresp></author-notes>
<pub-date pub-type="epub-ppub"><month>06</month><year>2020</year></pub-date>
<volume>15</volume>
<issue>7-8</issue>
<fpage>167</fpage>
<lpage>188</lpage>
<history>
<date date-type="received"><day>09</day><month>01</month><year>2020</year></date>
<date date-type="accepted"><day>21</day><month>01</month><year>2020</year></date>
</history>
<permissions>
<copyright-year>2020</copyright-year>
<copyright-holder>Croatian Cardiac Society</copyright-holder>
</permissions>
</article-meta>
</front>
<body>
<p>Reproduced from: Cleland JGF, Lyon AR, McDonagh T, McMurray JJV. The year in cardiology: heart failure. Eur Heart J. 2020 Mar 21;41(12):1232-1248. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1093/eurheartj/ehz949">https://doi.org/10.1093/eurheartj/ehz949</ext-link>, by permission of Oxford University Press on behalf of the European Society of Cardiology.</p>
<p>&#x00AE; The Authors(s) 2020.</p>
<p>All rights reserved; no part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without prior written permission of the Publishers.</p>
<p>For Permissions, please email: journals.permissions@oup.com</p>
<p>The opinions expressed in the Journal item reproduced as this reprint are those of the authors and contributors, and do not necessarily reflect those of the European Society of cardiology, the editors, the editorial board, Oxford University Press or the organization to which the authors are affiliated.</p>
<p>The mention of trade names, commercial products or organizations, and the inclusion of advertisements in this reprint do not imply endorsement by the Journal, the editors, the editorial board, Oxford University Press or the organization to which the authors affiliated. The editors and publishers have taken all reasonable precautions to verify drugs and doses, the results of experimental work and clinical findings published in the Journal. The ultimate responsibility for the use and dosage of drugs mentioned in this reprint and in interpretation of published material lies with the medical practitioner, and the editors and publisher cannot accept liability for damages arising from any error or omissions in the Journal or in this reprint. Please inform the editors of any errors.</p>
<p>Oxford University Press, OPL., and the European Society of Cardiology are not responsible or in any way liable for the accuracy of the translated reprint, for any errors, omissions, or inaccuracies, or for any consequences arising therefrom. <bold>Anita Juki&#x0107;</bold> and <bold>Mario Ivanu&#x0161;a</bold> are solely responsible for the translation and this reprint.</p>
<sec sec-type="other1">
<title>Preamble</title>
<p>The past year has brought many new concepts and an abundance of new data on the nature, management, and outcome of heart failure. The pace of change is accelerating. We look forward to an exciting new decade of research. The prognosis of cardiovascular disease is determined to a large extent by the ability to delay or prevent the development and progression of heart failure. (<xref ref-type="bibr" rid="r1"><italic>1</italic></xref>) Accordingly, attention is shifting to earlier diagnosis of and intervention for heart failure. Patients with type-2 diabetes mellitus (T2DM) (<xref ref-type="bibr" rid="r2"><italic>2</italic></xref>) or coronary artery disease (CAD) (<xref ref-type="bibr" rid="r3"><italic>3</italic></xref>) have a relatively good prognosis unless plasma concentrations of natriuretic peptides are increased, indicating important cardiac or renal dysfunction. Adoption of a simple &#x2018;Universal Definition&#x2019; of heart failure based on natriuretic peptides would facilitate early diagnosis and treatment but lead to an enormous increase in its prevalence and demand upon medical services. (<xref ref-type="bibr" rid="r4"><italic>4</italic></xref>) We need to prepare for the impending shock.</p>
</sec>
<sec sec-type="other2">
<title>Epidemiology and prevention</title>
<p>In cardiology, the term prevention is often used to mean delaying the onset of disease; in other words, procrastination. Failure to appreciate the difference between prevention and procrastination leads to problems in projecting future healthcare needs and costs. Older people have more co-morbid conditions that complicate management but may also offer more opportunities for intervention; consequently, more time and resources are required to manage older patients well.</p>
<p>A detailed report on heart failure in the UK shows that the median age of onset has risen to about 80&#x2005;years, consistent with improvements in the treatment of hypertension and other risk factors for atherosclerosis and better management of myocardial infarction. (<xref ref-type="bibr" rid="r5"><italic>5</italic></xref>) Unfortunately, data on left ventricular ejection fraction (LVEF) were not available for this report. Analyses of the diagnostic pathway in primary care in the UK suggest that key investigations are often not done. (<xref ref-type="bibr" rid="r6"><italic>6</italic></xref>-<xref ref-type="bibr" rid="r8"><italic>8</italic></xref>) Similar data from other countries are urgently required. Several large epidemiological surveys (<xref ref-type="bibr" rid="r9"><italic>9</italic></xref>, <xref ref-type="bibr" rid="r10"><italic>10</italic></xref>) and analyses of large trials (<xref ref-type="bibr" rid="r11"><italic>11</italic></xref>, <xref ref-type="bibr" rid="r12"><italic>12</italic></xref>) have recently been published that allow the demographics, aetiology, and management of heart failure to be compared internationally.</p>
<p>Mineralocorticoid receptor antagonists (MRAs) are effective anti-hypertensive agents that also improve the prognosis of patients with heart failure and a reduced (HFrEF) and possibly preserved (HFpEF) LVEF. (<xref ref-type="bibr" rid="r13"><italic>13</italic></xref>) Whether MRAs have specific effects on reducing other potential drivers of the progression to heart failure such as inflammation and fibrosis is currently under investigation. (<xref ref-type="bibr" rid="r14"><italic>14</italic></xref>, <xref ref-type="bibr" rid="r15"><italic>15</italic></xref>)</p>
<p>Genetic propensity to greater body fat was associated with the risk of developing heart failure in an analysis on 367 703 UK Biobank participants. (<xref ref-type="bibr" rid="r16"><italic>16</italic></xref>) However, the incidence of heart failure was only 1% (4803 patients), the diagnostic criteria were not robust, and the increase in risk was modest (odds ratio 1.22; 95% CI 1.06&#x2013;1.41). Further analyses on this population showed a strong relationship between cardio-respiratory fitness and grip strength and future incidence of heart failure. (<xref ref-type="bibr" rid="r17"><italic>17</italic></xref>) A study of 4403 people considered for bariatric surgery in Sweden and followed for 22&#x2005;years, found that 188 (9%) of the 2003 who had surgery (25&#x2013;35 kg weight loss; BMI 1 year after surgery 32&#x2005;kg/m<sup>2</sup>) developed heart failure compared with 266 (13%) of 2030 who did not (BMI after 1 year observation 40&#x2005;kg/m<sup>2</sup>). (<xref ref-type="bibr" rid="r18"><italic>18</italic></xref>) Although these data suggest links between obesity and the risk of developing heart failure, it is possible that obesity just provokes similar symptoms. Once heart failure has developed, obesity is associated with a lower mortality, but this may also reflect earlier diagnosis rather than a protective effect. (<xref ref-type="bibr" rid="r19"><italic>19</italic></xref>) Randomized controlled trials (RCTs) of effective interventions for obesity are required to demonstrate whether weight loss improves symptoms (likely) and clinical outcomes (less certain).</p>
<p>A report from &#x2018;the Atherosclerosis Risk in Communities&#x2019; (ARIC) study confirmed the association between influenza epidemics and hospitalizations for heart failure, reinforcing guideline-recommendations for vaccination (<xref ref-type="bibr" rid="r20"><italic>20</italic></xref>); an RCT is underway. (<xref ref-type="bibr" rid="r21"><italic>21</italic></xref>) Extended follow-up (median 18.9&#x2005;years) of the Women&#x2019;s Health Initiative Hormone Therapy trials, which randomized 27 347 women to various hormone replacement regimens, showed that they had no effect on the incidence of HFrEF or pEF. (<xref ref-type="bibr" rid="r22"><italic>22</italic></xref>)</p>
<p>The ISCHEMIA trial (presented at the American Heart Association 2019) compared strategies of early coronary revascularization, predominantly percutaneous, with conservative management for stable CAD, some of whom had mild symptoms of heart failure and/or a reduced LVEF. Revascularization did not reduce the risk of myocardial infarction or death but increased the risk of stroke almost four-fold and did not reduce new-onset heart failure over the following 4&#x2005;years.</p>
</sec>
<sec sec-type="other3">
<title>Diagnosis</title>
<p>The Heart Failure Association of the European Society of Cardiology has proposed a new scoring system for the diagnosis of HFpEF. (<xref ref-type="bibr" rid="r23"><italic>23</italic></xref>) Its practical utility awaits confirmation. (<xref ref-type="bibr" rid="r24"><italic>24</italic></xref>) Simpler approaches may be preferred. (<xref ref-type="bibr" rid="r4"><italic>4</italic></xref>)</p>
</sec>
<sec sec-type="other4">
<title>Congestion</title>
<p>Congestion lies at the heart of failure. (<xref ref-type="bibr" rid="r25"><italic>25</italic></xref>&#x2013;<xref ref-type="bibr" rid="r27"><italic>27</italic></xref>) Imaging has long been used to identify dilation of the atria and venous system, which might be termed haemodynamic congestion, for which natriuretic peptides are a useful biomarker. (<xref ref-type="bibr" rid="r25"><italic>25</italic></xref>) More recently imaging has been used to identify accumulation of fluid in tissues (tissue congestion), (<xref ref-type="bibr" rid="r25"><italic>25</italic></xref>, <xref ref-type="bibr" rid="r28"><italic>28</italic></xref>&#x2013;<xref ref-type="bibr" rid="r32"><italic>32</italic></xref>) which may be associated with increases in the biomarker, (bio)-adrenomedullin. (<xref ref-type="bibr" rid="r33"><italic>33</italic></xref>) Imaging and biomarkers in combination are both sensitive and specific for detecting a failing heart, a useful guide to the severity of congestion and prognosis and a potential therapeutic target indicating successful management. Imaging remains the preferred method for identifying the cause of heart failure. If congestion is central to the management of heart failure, then better monitoring (<xref ref-type="bibr" rid="r34"><italic>34</italic></xref>) and more effective (diuretic) interventions (perhaps acetazolamide? (<xref ref-type="bibr" rid="r35"><italic>35</italic></xref>)) should improve outcome (<xref ref-type="fig" rid="fA"><bold>Figure A</bold></xref> &#x2013; Take home figure).</p>
<fig id="fA" position="float" fig-type="figure"><label>FIGURE A</label><caption><p><italic>Take home figure:</italic> Two-year cause-specific mortality and non-fatal vascular events for patients with cardiovascular disease according to New York Heart Association (NYHA) class. Numbers and proportions are a conceptual representation of absolute and relative risk and are not strictly evidence-based. Note that for patients in NYHA Class 4, interventions for sudden arrhythmic death may be ineffective or fail to lead to a meaningful prolongation of life because the patient is likely soon to die of worsening heart failure. CRD, congestion-related death, otherwise called death due to worsening heart failure; NFVE, non-fatal vascular event (e.g. myocardial infarction and stroke; note that events are more likely to be suddenly fatal as heart failure progresses); non-CVD, non-cardiovascular death; RSAD, resuscitatable sudden arrhythmic death; SVD, sudden vascular death; TSAD, terminal (non-resucitatable) sudden arrhythmic death. Reproduced with permission from ref. (<xref ref-type="bibr" rid="r59"><italic>59</italic></xref>)</p></caption><graphic xlink:href="CC202015_7-8_167-88-fA"></graphic></fig>
</sec>
<sec sec-type="other5">
<title>Age and prognosis</title>
<p>Analysis of a large primary care database suggested that the cardiovascular (CV) prognosis of new-onset heart failure improved substantially between 2002 and 2014 [hazard ratio (HR): 0.73; 95% CI 0.68&#x2013;0.80] for patients above and below the age of 80&#x2005;years. (<xref ref-type="bibr" rid="r5"><italic>5</italic></xref>) However, in those aged &gt;80&#x2005;years, the fall in CV mortality was entirely offset by non-CV mortality. In other words, treatment changed the way that elderly patients died but not overall mortality (<xref ref-type="fig" rid="f1"><bold>Figure 1</bold></xref>). Unfortunately, information on LVEF was not available; many patients will have had HFpEF and, therefore, caution should be exercised in attributing the reduction in CV mortality to treatment of heart failure. A systematic review of survey and registry data also suggested that the prognosis of heart failure had improved; important determinants of outcome were age and cardiology input to management. (<xref ref-type="bibr" rid="r36"><italic>36</italic></xref>) Frailty, which might be considered a biological rather than chronological measure of age, may be an even more powerful predictor of disability and death. (<xref ref-type="bibr" rid="r37"><italic>37</italic></xref>)</p>
<fig id="f1" position="float" fig-type="figure"><label>FIGURE 1</label><caption><p>Please see the original article (Eur Heart J. 2020 Mar 21;41(12):1232-1248.).</p></caption><graphic xlink:href="CC202015_7-8_167-88-f1"></graphic></fig>
<p>Guideline-recommendations for the treatment of HFrEF do not discriminate by age. The Swedish Heart Failure Registry found that prescription of ACE inhibitors or beta-blockers to patients with HFrEF aged &gt;80&#x2005;years was associated with a lower mortality. (<xref ref-type="bibr" rid="r38"><italic>38</italic></xref>, <xref ref-type="bibr" rid="r39"><italic>39</italic></xref>) However, observational associations have many explanations other than a therapeutic effect. (<xref ref-type="bibr" rid="r40"><italic>40</italic></xref>) An individual patient-data meta-analysis of three RCTs of MRA (RALES, EMPHASIS, and TOPCAT-Americas) (<xref ref-type="bibr" rid="r13"><italic>13</italic></xref>) suggested that MRAs exerted a similar reductions in mortality (by about 25%) for patients with HFrEF above and below age 75&#x2005;years but benefit was less certain for HFpEF.</p>
</sec>
<sec sec-type="other6">
<title>The diversity of heart failure phenotypes</title>
<p>Precision-medicine, which should also be accurate, requires patients to be classified in a way that informs management. For oncology, this has focused on the genetic cause, tumour location, and spread. For heart failure, a multi-system disorder, it is much more complex. (<xref ref-type="bibr" rid="r41"><italic>41</italic></xref>&#x2013;<xref ref-type="bibr" rid="r47"><italic>47</italic></xref>)</p>
<p>Current, therapeutically relevant classifications of heart failure include the severity of congestion (based on symptoms, signs, blood biomarkers, and imaging), CAD, heart rate and rhythm and QRS duration, blood pressure, serum potassium, renal function, indices of iron deficiency, mitral regurgitation, infiltrative myocardial disease (e.g. amyloid), and ventricular phenotype. (<xref ref-type="bibr" rid="r41"><italic>41</italic></xref>, <xref ref-type="bibr" rid="r48"><italic>48</italic></xref>) Optimal management of heart failure, with a few rare exceptions, requires only a modest amount of information but this still creates many thousands of patient-subgroups or clusters that might have different therapeutic needs. (<xref ref-type="bibr" rid="r45"><italic>45</italic></xref>, <xref ref-type="bibr" rid="r46"><italic>46</italic></xref>) Such subgroups will increase exponentially with the introduction of each new class of treatment. Despite this heterogeneity of substrate and wealth of interventions, precision-medicine is in its infancy in heart failure.</p>
<p>One therapeutically relevant classification of heart failure is by LVEF, a surrogate for left ventricular (LV) dilation. Prior to the 1980s, imaging of cardiac function was available only in expert centres. Clinical trials relied on the chest X-ray rather than the echocardiogram to support a diagnosis of heart failure. The success of trials such as SOLVD, MERIT, and CHARM, which all had a reduced LVEF as an inclusion criterion, led to the adoption of LVEF &lt;40% as the European Society of Cardiology (ESC) Guideline definition for HFrEF. (<xref ref-type="bibr" rid="r49"><italic>49</italic></xref>) Values &#x2265;40% were termed HFpEF, comprising patients with a mid-range or mildly-reduced (HFmrEF), normal (HFnEF) and, perhaps, supra-normal (HFsnEF) LVEF. (<xref ref-type="bibr" rid="r50"><italic>50</italic></xref>) Analyses of &gt;350 000 routinely collected echocardiograms suggested that the nadir of risk, whether or not the patient has a diagnosis of heart failure, lies in the range 60&#x2013;65% both for men and women. Interestingly, an LVEF of &gt;70% was associated with similar risk as an LVEF of 30&#x2013;40% (<xref ref-type="fig" rid="f2"><bold>Figure 2</bold></xref>). (<xref ref-type="bibr" rid="r50"><italic>50</italic></xref>)</p>
<fig id="f2" position="float" fig-type="figure"><label>FIGURE 2</label><caption><p>All-cause mortality according to left ventricular ejection fraction reported on &gt;350 000 routine echocardiograms stratified by age and sex. HFmrEF, heart failure with mildly reduced ejection fraction; HFnEF, heart failure with normal ejection fraction; HFrEF, heart failure with reduced ejection fraction; HFsnEF, heart failure with supra-normal ejection fraction. Reproduced with permission from ref. (<xref ref-type="bibr" rid="r50"><italic>50</italic></xref>)</p></caption><graphic xlink:href="CC202015_7-8_167-88-f2"></graphic></fig>
<p>The ESC Guidelines of 2016 introduced the concept of HFmrEF, for two main reasons. Firstly, because of imprecision, an echocardiographic measurement could not reliably distinguish between two measurements of LVEF within 10% of each other. Creating a buffer-zone between HFrEF and HFnEF meant that misclassification was less likely. This innovation meant that a trial of HFpEF could not claim benefit for all patients with an LVEF &gt;40% based solely on an effect in those with an LVEF 40&#x2013;49%. Secondly, the introduction of HFmrEF challenged the convention that an LVEF &lt;40% was the correct threshold for HFrEF. Some analyses subsequent to the ESC 2016 Guideline suggest that patients with an LVEF &lt;50% may respond to treatment similarly to those with an LVEF &lt;40%. (<xref ref-type="bibr" rid="r51"><italic>51</italic></xref>) However, this interpretation could reflect confirmation-bias amongst enthusiastic proponents of HFmrEF (<xref ref-type="table" rid="t1"><bold>Table 1</bold></xref>). The evidence is not so consistent when looked at in its entirety, especially if mortality is considered a key outcome. In the future, many trials will probably include both HFrEF and HFmrEF, others will include HFmrEF, HFnEF, and HFsnEF, but NT-proBNP should be used routinely to stratify risk and potentially exclude low-risk patients who have little to gain from yet another &#x2018;pill&#x2019;. Assuming we continue to use LVEF to classify patients, which seems likely since we cannot undo the past, then the major issue is where to set thresholds. For HFrEF, these have ranged from &lt;25% in COPERNICUS, &lt;30% in MADIT-II, and RAFT to &lt;35&#x2013;40% for the bulk of other trials. (<xref ref-type="bibr" rid="r51"><italic>51</italic></xref>) For HFpEF, LVEF has generally been set at &gt;40% or &gt;45% with no upper limit. Analyses of recent trials have led some to suggest that, for patients with an elevated NT-proBNP, the upper limit of LVEF for HFmrEF should be increased to 55% or even 60% but this seems premature until consistency is demonstrated across multiple interventions and end-points and measurement precision for LVEF improves.</p>
<table-wrap id="t1" position="float">
<label>TABLE 1</label><caption><title>Evidence supporting or refuting the benefits of treatments for heart failure with a left ventricular ejection fraction in the &#x201C;mid-range&#x201D; (HFmrEF: 40&#x2013;49%).</title>
</caption>
<table frame="hsides" rules="groups">
<col width="16.93%"/>
<col width="8.49%"/>
<col width="10.03%"/>
<col width="17.4%"/>
<col width="15.9%"/>
<col width="14.2%"/>
<col width="17.05%"/>
<thead>
<tr>
<th valign="bottom" align="left" scope="col" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></th>
<th valign="middle" align="center" scope="col" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>LVEF</bold></th>
<th valign="middle" align="center" scope="col" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>Symptoms</bold></th>
<th valign="middle" align="center" scope="col" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>Hospitalization for</bold><break/><bold>heart failure<sup>a</sup></bold></th>
<th valign="middle" align="center" scope="col" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>CV death or HFH<sup>a</sup></bold></th>
<th valign="middle" align="center" scope="col" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>CV mortality</bold></th>
<th valign="middle" align="center" scope="col" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>All-cause mortality</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="col">Diuretics</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">Perindopril</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>Improved</bold></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>0.38 (0.19&#x2013;0.75)</bold><sup>b</sup></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">Candesartan</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>Improved</bold></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>0.72 (0.55&#x2013;0.95)&#x220F;</bold></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>0.76 (0.61&#x2013;0.96)</bold></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.81 (0.60&#x2013;1.11)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.79 (0.60&#x2013;1.04)</td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">Irbesartan</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.98 (0.85&#x2013;1.12)&#x0394;</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">ARNI (Sac/Val) vs. Val<sup>c</sup></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>Improved</bold></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.77 (0.58&#x2013;1.02)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.81 (0.64&#x2013;1.03)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.94 (0.69&#x2013;1.28)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">NYR</td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">MRA (overall)<sup>c</sup></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.76 (0.46&#x2013;1.27)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.72 (0.50&#x2013;1.05)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.69 (0.43&#x2013;1.12)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.73 (0.49&#x2013;1.10)</td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">MRA (Americas)<sup>c</sup></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.60 (0.32&#x2013;1.10)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>0.55 (0.33&#x2013;0.91)</bold></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>0.46 (0.23&#x2013;0.94)</bold></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>0.58 (0.34&#x2013;0.99)</bold></td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">&#x00DF;-Blocker (SR)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>Improved</bold></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.95 (0.68&#x2013;1.32)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.83 (0.60&#x2013;1.13)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>0.48 (0.24&#x2013;0.97)</bold></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.59 (0.34&#x2013;1.03)</td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">&#x00DF;-Blocker (AF)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>Improved</bold></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">1.15 (0.57&#x2013;2.32)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">1.06 (0.58&#x2013;1.94)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.86 (0.36&#x2013;2.03)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">1.30 (0.63&#x2013;2.67)</td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="col">Ivabradine</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">Digoxin</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.80 (0.63&#x2013;1.03)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.96 (0.79&#x2013;1.17)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">1.24 (0.94&#x2013;1.64)</td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">1.08 (0.85&#x2013;1.37)</td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">Rivaroxaban <italic>vs</italic>. aspirin</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.65 (0.40&#x2013;1.05)</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.75 (0.53&#x2013;1.06)</td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">Rivaroxaban+Aspirin <italic>vs</italic>. aspirin</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt">0.87 (0.56&#x2013;1.35)</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>0.63 (0.44&#x2013;0.90)</bold></td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="col">CRT</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="col">ICD</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
</tr>
<tr>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt" scope="row">BNP-guided therapy</td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="center" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"><bold>Reduction from 67% to 44% patients with an event</bold></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
<td valign="bottom" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.25pt"></td>
</tr>
<tr>
<td valign="bottom" colspan="4" align="left" style="border-top: solid 0.25pt; border-bottom: solid 0.75pt" scope="col">Statistically significant results are shown in bold on a blue background. Blank cells indicate no relevant information reported. Other data shown are not significant, although may not be heterogeneous with the effect in patients with a reduced left ventricular ejection fraction (HFrEF). Data for sacubitril/valsartan taken from reference for LVEF &gt;42.5% to 52.5%. (<xref ref-type="bibr" rid="r98"><italic>98</italic></xref>)<break/>AF, atrial fibrillation; ARNI, angiotensin receptor-neprilysin inhibitors; BNP, brain natriuretic peptide; CRT, cardiac resynchronization therapy; ICD, implantable cardioverter defibrillator; LVEF, left ventricular ejection fraction; MRA, Mineralocorticoid receptor antagonist; SR, sinus rhythm.<break/><sup>a</sup>Recurrent event analyses used when available.<break/><sup>b</sup>The PEP-CHF trial specified inclusion of patients with LVEF 40&#x2013;49% as was LVEF &gt;49% but did not report effects in this subgroup. However, it did report effects in patients with a prior myocardial infarction who were more likely to have HFmrEF.<break/><sup>c</sup>Stronger effect in women.</td>
</tr>
</tbody></table></table-wrap>
<p>In a substantial observational study of patients with HFpEF and pulmonary hypertension, progression of right rather than left ventricular dysfunction was observed and was associated with an increased risk of atrial fibrillation (AF) and death. (<xref ref-type="bibr" rid="r52"><italic>52</italic></xref>) Although right ventricular (RV) dysfunction is a powerful prognostic marker, remarkably few trials focusing on RV dysfunction have been done (SERENADE: <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/ct2/show/NCT03153111">https://clinicaltrials.gov/ct2/show/NCT03153111</ext-link>).</p>
</sec>
<sec sec-type="other7">
<title>Atrial fibrillation</title>
<p>About a third of outpatients, perhaps more for those with HFpEF, (<xref ref-type="bibr" rid="r53"><italic>53</italic></xref>) and more than half of those admitted with heart failure will be in AF, which is associated with an adverse prognosis even after correcting for age and other risk factors. (<xref ref-type="bibr" rid="r54"><italic>54</italic></xref>) Controversy continues over whether medical management focused on rate control or restoration of sinus rhythm is the better strategy for AF and heart failure. In practice, the strategy needs to be tailored to the patient. When AF is the driver of symptoms and worsening cardiac function, restoration of sinus rhythm might be appropriate but when AF reflects the progression of underlying cardiac dysfunction, it may not. (<xref ref-type="bibr" rid="r55"><italic>55</italic></xref>) For new-onset or paroxysmal AF associated with a clear deterioration in symptoms, restoration of sinus rhythm may be warranted to improve symptoms. For long-standing AF and heart failure with markedly dilated atria, sustained restoration of sinus rhythm and atrial contraction is less likely. Optimal pharmacological management includes anticoagulation, avoiding toxic anti-arrhythmic agents and lenient ventricular rate control. Beta-blockers are the agent of choice for rate control, a resting day-time ventricular rate of 70&#x2013;90 b.p.m. is preferred, (<xref ref-type="bibr" rid="r49"><italic>49</italic></xref>) which may require only modest doses; digoxin should be used sparingly, if at all. Unfortunately, RCTs of rate vs. rhythm control for AF have failed to optimize the rate control strategy in the above fashion.</p>
<p>A meta-analysis of RCTs of rate vs. rhythm control included four trials (n&#x2005;=&#x2005;2486) comparing pharmacological rhythm to rate control found no difference in mortality or thromboembolic events but an increase in hospitalizations, often due to recurrent AF, in the rhythm control group. (<xref ref-type="bibr" rid="r56"><italic>56</italic></xref>) Six trials (n&#x2005;=&#x2005;1112) comparing AF ablation with rate control reported reductions in mortality (0.51; 95% CI 0.36&#x2013;0.74), hospitalizations (0.44; 95% CI 0.26&#x2013;0.76), and stroke (0.59: 95% CI 0.23&#x2013;1.51) and an improved quality of life. (<xref ref-type="bibr" rid="r56"><italic>56</italic></xref>) However, none of the trials individually had a robust result, patients were highly selected and the rate control strategy was not optimal. As such, this meta-analysis should be considered hypothesis generating. Further trials are required with greater involvement of heart failure physicians.</p>
</sec>
<sec sec-type="other8">
<title>Implanted electrical devices</title>
<p>The controversy over the role of high-energy devices for heart failure continues. Long-term follow-up of cardiac resynchronization therapy (CRT) in a French Registry showed a low rate of sudden death amongst patients who received CRT-Pacing (without a defibrillator). (<xref ref-type="bibr" rid="r57"><italic>57</italic></xref>&#x2013;<xref ref-type="bibr" rid="r59"><italic>59</italic></xref>) A systematic review of observational studies and RCTs reported that differences in the rate of sudden death with CRT-Pacing and CRT-D were narrowing. (<xref ref-type="bibr" rid="r58"><italic>58</italic></xref>) RCTs comparing CRT-Pacing and CRT-D are underway (<xref ref-type="bibr" rid="r59"><italic>59</italic></xref>) (<xref ref-type="fig" rid="fA"><bold>Figure A</bold></xref> &#x2013; Take home figure). Whether myocardial scar found on cardiac magnetic resonance imaging identifies patients with more to gain from an implantable cardioverter defibrillator (ICD) is also under investigation (<xref ref-type="bibr" rid="r60"><italic>60</italic></xref>) (CMR_GUIDE; <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/ct2/show/NCT01918215">https://clinicaltrials.gov/ct2/show/NCT01918215</ext-link>). Retrospective analysis of SCD-HeFT found that patients with T2DM did not benefit from an ICD. (<xref ref-type="bibr" rid="r61"><italic>61</italic></xref>) An individual patient-data meta-analysis confirmed a reduction in sudden death with MRA. (<xref ref-type="bibr" rid="r62"><italic>62</italic></xref>) A systematic review identified 22 studies with post-mortem interrogation of ICDs; the analysis suggested that 24% of sudden deaths were not arrhythmic. (<xref ref-type="bibr" rid="r63"><italic>63</italic></xref>) A substantial multi-point pacing trial failed, so far, to show improvements in the clinical or echocardiographic response to CRT. (<xref ref-type="bibr" rid="r64"><italic>64</italic></xref>)</p>
</sec>
<sec sec-type="other9">
<title>Mitral regurgitation</title>
<p>COAPT suggested that a percutaneously delivered mitral clip could reduce functional (secondary) regurgitation with a subsequent substantial improvement in morbidity and mortality that was moderately cost-effective in a US healthcare context (US$40 361 per life-year gained and $55 600 per quality-adjusted life year). (<xref ref-type="bibr" rid="r65"><italic>65</italic></xref>&#x2013;<xref ref-type="bibr" rid="r68"><italic>68</italic></xref>) Two-year follow-up of MITRA.fr suggested no benefit. (<xref ref-type="bibr" rid="r69"><italic>69</italic></xref>) A possible explanation for the apparent discrepancy could be the ratio of the severity of LV dysfunction to the severity of mitral regurgitation. When regurgitation is disproportionate to the severity of LV dysfunction it may drive disease progression and correction may improve outcome. (<xref ref-type="bibr" rid="r70"><italic>70</italic></xref>, <xref ref-type="bibr" rid="r71"><italic>71</italic></xref>) When regurgitation is proportionate to the severity of LV dysfunction, fixing the mitral regurgitation may be less useful because myocardial dysfunction drives disease progression. The concept is simple and plausible but application in practice may be difficult. Mitral regurgitation offloads the LV and may mask dysfunction. It is also likely that there is a spectrum of primary and secondary mitral regurgitation, with some patients having a mixed picture. More experience and further data from RCTs may improve patient selection (RESHAPE-HF2: <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/ct2/show/NCT02444338">https://clinicaltrials.gov/ct2/show/NCT02444338</ext-link>). However, optimizing guideline-recommended therapy, including diuretic dose, may cause mitral regurgitation secondary to dilation of the LV and mitral ring to improve or resolve. Other technologies for secondary mitral (<xref ref-type="bibr" rid="r72"><italic>72</italic></xref>) and tricuspid regurgitation (<xref ref-type="bibr" rid="r73"><italic>73</italic></xref>, <xref ref-type="bibr" rid="r74"><italic>74</italic></xref>) are being developed.</p>
</sec>
<sec sec-type="other10">
<title>Coronary artery disease</title>
<p>In COMPASS (n&#x2005;=&#x2005;27 395), 5902 with CAD, in sinus rhythm and with a diagnosis of heart failure (predominantly HFpEF) were randomly assigned them to aspirin 100&#x2005;mg/day, rivaroxaban 5&#x2005;mg bd or aspirin and rivaroxaban 2.5&#x2005;mg bd. (<xref ref-type="bibr" rid="r75"><italic>75</italic></xref>, <xref ref-type="bibr" rid="r76"><italic>76</italic></xref>) The study was stopped early for benefit on the primary endpoint (a composite of CV death, stroke, or myocardial infarction) with the combination compared with aspirin alone. Further analysis suggested a reduction in all-cause mortality for patients with heart failure, especially HFpEF, assigned to combination therapy (HR: 0.63; 0.44&#x2013;0.90) or rivaroxaban alone (HR: 0.75; 0.53&#x2013;1.06) with an estimated 4% absolute difference at 2 years; rather similar to the magnitude of effect in HFrEF for sacubitril-valsartan (<xref ref-type="bibr" rid="r77"><italic>77</italic></xref>) or dapagliflozin (<xref ref-type="bibr" rid="r78"><italic>78</italic></xref>) (<xref ref-type="fig" rid="f3"><bold>Figure 3</bold></xref>). This suggests that coronary events might be an important driver of death in HFpEF (<xref ref-type="fig" rid="fA"><bold>Figure A</bold></xref> &#x2013;Take home figure), although effects of rivaroxaban on endothelial function, inflammation, and fibrosis should not be discounted. The analysis also suggests that those who do not have heart failure have little to gain from additional treatment with rivaroxaban.</p>
<fig id="f3" position="float" fig-type="figure"><label>FIGURE 3</label><caption><p>Please see the original article (Eur Heart J. 2020 Mar 21;41(12):1232-1248.).</p></caption><graphic xlink:href="CC202015_7-8_167-88-f3"></graphic></fig>
<p>However, for patients with HFrEF, CAD in sinus rhythm with a recent hospital discharge for worsening heart failure, addition of rivaroxaban 2.5&#x2005;mg bd to background anti-platelet therapy did not improve overall prognosis, although a composite of vascular outcomes (stroke, myocardial infarction, and sudden death) was reduced, driven mainly by a reduction in stroke. (<xref ref-type="bibr" rid="r79"><italic>79</italic></xref>, <xref ref-type="bibr" rid="r80"><italic>80</italic></xref>) This suggests that for patients with stable CAD and more advanced heart failure, hospitalizations, and deaths due to worsening heart failure are not greatly influenced by anti-thrombotic therapy (<xref ref-type="fig" rid="fA"><bold>Figure A</bold></xref> &#x2013;Take home figure).</p>
</sec>
<sec sec-type="other11">
<title>Angiotensin receptor-neprilysin inhibitors</title>
<sec>
<title>Heart failure with reduced ejection fraction</title>
<p>As experience in the implementation of angiotensin receptor-neprilysin inhibitors (ARNIs) grows, both in clinical trials and in clinical practice, there is a strong argument to consider them as first-line agents, rather than angiotensin converting-enzyme inhibitors (ACEi) or angiotensin receptor blockers (ARB), for the treatment of HFrEF. In PIONEER-HF, (<xref ref-type="bibr" rid="r81"><italic>81</italic></xref>) 881 patients with an LVEF &#x2264;40% who were hospitalized for worsening heart failure were randomly assigned, without a run-in period, to sacubitril/valsartan or enalapril prior to discharge and followed for 8&#x2005;weeks to determine the effect on plasma concentrations of NT-proBNP; about one-third had new-onset heart failure. Sacubitril-valsartan exerted a greater reduction in NT-proBNP. Reductions in markers of myocardial injury or stress, high-sensitivity cardiac troponin-T and soluble ST2, were also observed. These effects appeared early after randomization (within 1&#x2013;4&#x2005;weeks). Moreover, patients assigned to sacubitril/valsartan were less likely to experience adverse outcomes within the first 8&#x2005;weeks. TRANSITION (<xref ref-type="bibr" rid="r82"><italic>82</italic></xref>) randomly assigned 1002 patients to pre- or post-discharge initiation of sacubitril/valsartan, showing no adverse consequences to earlier administration.</p>
<p>EVALUATE (<xref ref-type="bibr" rid="r83"><italic>83</italic></xref>) compared the effects of sacubitril/valsartan and enalapril on aortic stiffness in HFrEF most of whom were already chronically treated with an ACEi or ARB. After 24&#x2005;weeks treatment, no differences in aortic stiffness were observed but slightly greater reductions in LV end-diastolic and systolic volumes were observed with sacubitril/valsartan compared with enalapril, although changes in LVEF were similar. Mitral E-velocity and left atrial volume declined, consistent with a fall in left atrial pressure. PROVE-HF, (<xref ref-type="bibr" rid="r84"><italic>84</italic></xref>) an observational study, had similar findings and showed that most of the decline in NT-proBNP occurred within 14&#x2005;days consistent with the rapid onset of clinical benefit observed with sacubitril/valsartan in trials and clinical practice. PRIME (<xref ref-type="bibr" rid="r85"><italic>85</italic></xref>) was an RCT (n&#x2005;=&#x2005;118) comparing the effects of sacubitril/valsartan or valsartan on functional mitral regurgitation in patients with an LVEF between 25% and 49% who were already receiving an ACEi or ARB. Those assigned to sacubitril/valsartan had greater reductions in mitral regurgitation and LV end-diastolic and left atrial volumes but LVEF increased by a similar small amount in each group (about 2.5%).</p>
<p>Further reports from PARADIGM-HF suggest that, compared with enalapril, sacubitril/valsartan may improve markers of collagen metabolism, in particular, decreasing synthesis of type-I collagen, which makes an important contribution to myocardial stiffness. (<xref ref-type="bibr" rid="r86"><italic>86</italic></xref>) In I-PRESERVE, irbesartan (an ARB) did not affect collagen biomarkers compared with placebo. (<xref ref-type="bibr" rid="r87"><italic>87</italic></xref>)</p>
</sec>
<sec>
<title>Heart failure with preserved ejection fraction</title>
<p>PARAGON-HF investigated the effect of sacubitril/valsartan compared to valsartan alone on morbidity and mortality in patients with HFpEF (defined as an LVEF &gt;45%). (<xref ref-type="bibr" rid="r88"><italic>88</italic></xref>) It was the first RCT since PEP-CHF (<xref ref-type="bibr" rid="r89"><italic>89</italic></xref>) to require patients to be treated with diuretics, the first-line treatment for the relief of symptoms and signs of congestion, and to have echocardiographic evidence of cardiac dysfunction. It was also the first large trial of HFpEF to require all patients to have raised plasma concentrations of natriuretic peptides, the most powerful, widely available prognostic marker in HFpEF. Sacubitril/valsartan was compared with valsartan rather than placebo because many patients eligible for PARAGON-HF had indications for ACE inhibitors and ARBs such as hypertension and CAD. The only trial comparing valsartan to placebo in HFpEF was of modest size and neutral. (<xref ref-type="bibr" rid="r90"><italic>90</italic></xref>) Previous RCTs of other ARBs, including candesartan (CHARM-Preserved) and irbesartan (I-PRESERVE) failed to show substantial benefit for HFpEF. (<xref ref-type="bibr" rid="r88"><italic>88</italic></xref>) Patients had to tolerate, sequentially, both valsartan and sacubitril/valsartan at half the intended target dose before randomization. This simulates clinical practice (doctors do not usually prescribe medicines to patients unwilling or unable to take them) and reduces the risk of a neutral trial-outcome due to low adherence. Of 10 539 patients screened, 4822 were randomized.</p>
<p>PARAGON-HF was neutral for its primary endpoint (CV death or the total number of recurrent hospitalizations for heart failure (<xref ref-type="bibr" rid="r91"><italic>91</italic></xref>); <xref ref-type="fig" rid="f4"><bold>Figure 4</bold></xref>). Some have argued that the P-value was very close to 0.05 and that it was &#x2018;almost&#x2019; positive. This misses the point. The trial shows that the size of the potential benefit of sacubitril/valsartan for HFpEF is modest, regardless of the P-value and that the treatment is, overall, unlikely to be cost-effective. Accordingly, we should look for more effective treatments or, more controversially, subgroups that obtain greater benefit. After a median follow-up of 35&#x2005;months, 23% of patients experienced a primary event but the annual incidence of CV and all-cause mortality were, respectively, only about 3% and 5%, which is similar to those for previous trials of HFpEF and for elderly patients with resistant hypertension assigned to placebo in HYVET. (<xref ref-type="bibr" rid="r92"><italic>92</italic></xref>) Although &lt;3% of patients were reported to have heart failure in HYVET, a combination of indapamide and perindopril reduced all-cause mortality and cut the incidence of heart failure by &gt;50%. Many of these patients probably had undiagnosed HFpEF prior to randomization. Higher rates of hospitalization for heart failure in trials of HFpEF compared to hypertension may well reflect ascertainment bias, as clinicians who are interested or expert in the management of heart failure are more likely to diagnose or report heart failure events. Overall, these trials suggest that the mortality rate and possibly the rates of cardiovascular and all-cause hospitalization may be similar in patients with and without a diagnosis of HFpEF, if they have a similar burden of co-morbidities. However, it is also likely that many patients with hypertension, CAD and T2DM have undiagnosed heart failure.</p>
<fig id="f4" position="float" fig-type="figure"><label>FIGURE 4</label><caption><p>Please see the original article (Eur Heart J. 2020 Mar 21;41(12):1232-1248.).</p></caption><graphic xlink:href="CC202015_7-8_167-88-f4"></graphic></fig>
<p>Subgroup analysis suggested that the effect of sacubitril/valsartan on the primary endpoint was greater for patients with an LVEF below the median (57%), but this was driven almost entirely by an effect on hospitalization for heart failure rather than on CV death. (<xref ref-type="bibr" rid="r93"><italic>93</italic></xref>) The effect of sacubitril/valsartan on the primary endpoint was also greater for women and this was true throughout the studied range of LVEF, but again this was driven by a difference in hospitalization for heart failure and not CV mortality. (<xref ref-type="bibr" rid="r94"><italic>94</italic></xref>) Reductions in NT-proBNP were similar for each sex. Sacubitril/valsartan appeared to have a favourable effect on quality of life for men but not for women. Patients with a recent heart failure hospitalization may also have benefited more. (<xref ref-type="bibr" rid="r95"><italic>95</italic></xref>) These observations should be interpreted in the light of a trial that was neutral for its primary endpoint. No effect was observed on mortality and the benefits of treatment on quality of life and hospitalizations for heart failure according to sex were inconsistent. In PARADIGM-HF, no difference in treatment effect according to sex was observed. A further sizeable RCT in HFpEF, PARALLAX-HF, investigating the effects of sacubitril/valsartan on quality of life and exercise capacity will provide more evidence in 2020 (<ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/ct2/show/NCT03066804">https://clinicaltrials.gov/ct2/show/NCT03066804</ext-link>).</p>
</sec>
</sec>
<sec sec-type="other12">
<title>Do women and men respond differently to treatment?</title>
<p>An analysis of 12 058 patients with HFrEF in two large trials found that women had more severe symptoms, similar LVEF but a substantially better prognosis than men, even after adjusting for key prognostic variables including aetiology and NT-proBNP (HR: 0.68; 0.62&#x2013;0.89). (<xref ref-type="bibr" rid="r96"><italic>96</italic></xref>) A combined analysis of PARAGON-HF and PARADIGM-HF suggested that patients with HFrEF and HFpEF had similarly impaired quality of life but that women generally reported a worse quality of life than men. (<xref ref-type="bibr" rid="r97"><italic>97</italic></xref>) In an observational analysis of patients with HFrEF, the BIOSTAT survey also found that women generally had a better prognosis than men despite being prescribed lower doses of beta-blockers and ACE inhibitors. (<xref ref-type="bibr" rid="r98"><italic>98</italic></xref>) Interestingly, men and women had the same heart rate, the pharmacodynamic marker of beta-blocker dose. For patients with HFpEF in the TOPCAT trial, reductions in mortality, but not hospitalizations for heart failure, were greater for women, although the interaction was statistically significant only for all-cause mortality. (<xref ref-type="bibr" rid="r99"><italic>99</italic></xref>) In the PARAGON-HF trial (HFpEF), women obtained greater benefit than men throughout the studied range of LVEF but the difference was driven by differences in the rate of hospitalization for heart failure rather than mortality. (<xref ref-type="bibr" rid="r94"><italic>94</italic></xref>) One obvious difference between men and women, on average, is size. Cardiac resynchronization therapy is reputed to be more effective in women than men, but differences disappear once adjusted for height. (<xref ref-type="bibr" rid="r100"><italic>100</italic></xref>) Many medicines are cleared by the kidney. Estimated glomerular filtration rate (eGFR) is indexed to body surface area (BSA) but doses of treatment are usually not. A woman (or small man) weighing 64&#x2005;kg and 160&#x2005;cm tall has BSA of 1.67&#x2005;m<sup>2</sup> using the Dubois formula and a man (or large woman) weighing 85&#x2005;kg and 180&#x2005;cm tall has a BSA 2.05&#x2005;m<sup>2</sup>. If both have an eGFR of 60&#x2005;mL/kg/m<sup>2</sup>, then the woman (or small man) has an un-indexed eGFR of 100&#x2005;mL/min and the man (or large woman) has an un-indexed eGFR of 123&#x2005;mL/min. If a medicine is cleared by the kidney then perhaps smaller people require lower doses to achieve the same plasma therapeutic concentration and clinical benefit?</p>
</sec>
<sec sec-type="other13">
<title>Sodium-glucose cotransporter-2 inhibitors</title>
<p>Sodium-glucose cotransporter protein-2 (SGLT2) is found mainly in the proximal renal tubule and to a lesser extent in other organs. SGLT1 is abundant in the intestine and myocardium. SGLT2 inhibitors (SGLT2i) cause glycosuria, improving glycaemia, which led to their development for the treatment of T2DM, and an osmotic diuresis, leading to a contraction of plasma volume. (<xref ref-type="bibr" rid="r101"><italic>101</italic></xref>, <xref ref-type="bibr" rid="r102"><italic>102</italic></xref>) SGLT1 inhibitors reduce intestinal glucose absorption, which can cause diarrhoea but might have favourable effects on myocardial energy-utilization. (<xref ref-type="bibr" rid="r103"><italic>103</italic></xref>) Most SGLT2i are highly selective, including dapagliflozin and empagliflozin, but sotagliflozin is less selective. (<xref ref-type="bibr" rid="r103"><italic>103</italic></xref>)</p>
<p>EMPA-REG enrolled 7020 patients with T2DM, about 10% of whom had heart failure (LVEF was not measured) and showed that empagliflozin reduced the risk of hospitalization for heart failure and mortality. (<xref ref-type="bibr" rid="r104"><italic>104</italic></xref>) Within a few weeks of initiating empagliflozin, body weight, and blood pressure fell and haematocrit rose, consistent with a diuretic effect. Subsequent RCTs of other SGLT2i in T2DM had similar findings. Meta-analyses suggested that SGLT2i were the hypoglycaemic agents most likely to reduce incident heart failure, (<xref ref-type="bibr" rid="r105"><italic>105</italic></xref>&#x2013;<xref ref-type="bibr" rid="r107"><italic>107</italic></xref>) whilst observational data raises concerns about insulin therapy. (<xref ref-type="bibr" rid="r108"><italic>108</italic></xref>) A meta-analysis of RCTs of empagliflozin, canagliflozin, and dapagliflozin for T2DM, including &gt;30 000 patients, showed benefit, at least for those with established CV disease. (<xref ref-type="bibr" rid="r109"><italic>109</italic></xref>) For the outcome of hospitalization for heart failure or CV death, the annual rate was about 0.6% for the 13 672 patients with multiple risk factors but without established CV disease, about 3% for the 20 650 patients with established atherosclerotic disease and about 6% for 3891 patients with heart failure at baseline; the relative risk reductions with SGLT2i in these populations were 16%, 24%, and 29%, respectively, without evidence of heterogeneity amongst agents. The largest of these trials, DECLARE, (<xref ref-type="bibr" rid="r110"><italic>110</italic></xref>) included 17 160 patients of whom 671 had HFrEF and 1316 had HFpEF or an unspecified LVEF. In a subgroup analysis, (<xref ref-type="bibr" rid="r111"><italic>111</italic></xref>) dapagliflozin reduced hospitalizations for heart failure and CV mortality for HFrEF but not for other patient-groups (<xref ref-type="fig" rid="f5"><bold>Figure 5</bold></xref>).</p>
<fig id="f5" position="float" fig-type="figure"><label>FIGURE 5</label><caption><p>Please see the original article (Eur Heart J. 2020 Mar 21;41(12):1232-1248.).</p></caption><graphic xlink:href="CC202015_7-8_167-88-f5"></graphic></fig>
<p>DAPA-HF (<xref ref-type="bibr" rid="r78"><italic>78</italic></xref>, <xref ref-type="bibr" rid="r112"><italic>112</italic></xref>) enrolled 4744 patients and followed them for a median of 18.3&#x2005;months, demonstrating that addition of dapagliflozin to guideline-recommended therapy for HFrEF-reduced hospitalizations for heart failure by 30% and mortality (mainly cardiovascular) by 18%, preventing 3&#x2013;5 hospitalizations and 1&#x2013;2 deaths per 100 patients treated per year (<xref ref-type="fig" rid="f6"><bold>Figure 6</bold></xref>). Patients were somewhat less likely to experience serious adverse events, especially renal, with dapagliflozin compared with placebo. The benefits appeared consistent across subgroups, although patients with evidence of more severe congestion (worse NYHA class or higher NT-proBNP) may have received less benefit. Importantly, benefits were similar for those with and without T2DM and regardless of age. (<xref ref-type="bibr" rid="r113"><italic>113</italic></xref>) Dapagliflozin also improved quality of life, (<xref ref-type="bibr" rid="r114"><italic>114</italic></xref>) an effect that was confirmed in a smaller RCT (DEFINE) (<xref ref-type="bibr" rid="r115"><italic>115</italic></xref>) that followed 263 patients for 12&#x2005;weeks; about one in six patients got a meaningful benefit, either prevention of worsening or an improvement in symptoms, compared with placebo.</p>
<fig id="f6" position="float" fig-type="figure"><label>FIGURE 6</label><caption><p>Please see the original article (Eur Heart J. 2020 Mar 21;41(12):1232-1248.).</p></caption><graphic xlink:href="CC202015_7-8_167-88-f6"></graphic></fig>
<p>In DAPA-HF, the placebo-corrected decline in weight between baseline and 8&#x2005;months was 0.87&#x2005;kg and this was associated with a small fall in NT-proBNP and systolic blood pressure and a small increase in haematocrit and serum creatinine. These findings are again consistent with the belief that SGLT2i exert at least some of their benefits by enhancing diuresis, either through an osmotic effect of glycosuria or by interfering with sodium-hydrogen exchange in the nephron. (<xref ref-type="bibr" rid="r116"><italic>116</italic></xref>) The effects of SGLT2i appear early, consistent with an immediate haemodynamic effect. However, alternative or additional explanations for the effect of SGLT2i have been proposed. A small RCT suggested that empagliflozin stimulated production of erythropoietin leading to a rise in haematocrit and a fall in ferritin, a marker of inflammation and iron deficiency, although not transferrin saturation, a marker of iron deficiency alone. (<xref ref-type="bibr" rid="r117"><italic>117</italic></xref>) However, administration of exogenous erythropoietin did not reduce morbidity or mortality in the RED-HF trial. (<xref ref-type="bibr" rid="r118"><italic>118</italic></xref>) Others have suggested that SGLT2i increase the production of ketones, which may be a more efficient myocardial energy substrate, or block myocardial sodium&#x2013;hydrogen exchanger-3, which may improve myocardial function and reduce fibrosis. (<xref ref-type="bibr" rid="r119"><italic>119</italic></xref>, <xref ref-type="bibr" rid="r120"><italic>120</italic></xref>)</p>
<p>An RCT of empagliflozin in patients with T2DM but not heart failure (<xref ref-type="bibr" rid="r121"><italic>121</italic></xref>) suggested little effect on cardiac function or remodelling; RCTs of the effects of SGLT2i on cardiac function in patients with HFrEF and HFpEF are awaited. Future trials will confirm whether the benefit observed in DAPA-HF is a class effect and whether they are effective for HFpEF or when congestion is severe. (<xref ref-type="bibr" rid="r122"><italic>122</italic></xref>, <xref ref-type="bibr" rid="r123"><italic>123</italic></xref>)</p>
</sec>
<sec sec-type="other14">
<title>Acute heart failure</title>
<p>Two large RCTs of serelaxin failed to confirm the results of the original RELAX-AHF trial. RELAX-AHF-EU, (<xref ref-type="bibr" rid="r124"><italic>124</italic></xref>) an openlabel RCT (n = 2688), reported a similar and low rate for mortality (&#x2264;2%) and re-admissions for heart failure (&lt;1%) at 14 days for patients assigned placebo or serelaxin, despite a reduction in worsening heart failure at day 5 [6.7&#x2013;4.5% (P &lt; 0.008)]. The RELAX-AHF-2 trial, (<xref ref-type="bibr" rid="r125"><italic>125</italic></xref>) a double-blind RCT (n = 6545), reported that the rates of worsening heart failure in the first 5 days (about 7%) and 180-day mortality (about 11%) were similar for placebo and serelaxin. The failure of so many short-term interventions for AHF may reflect failed therapeutic concepts, ineffective interventions, or problems with trial design. RCTs of AHF are difficult to implement, especially if conducted double-blind. Indeed, GALACTIC, a trial of personalized, early intensive and sustained vasodilation with nitrates and hydralazine, also failed to show benefit, calling into question the concept of vasodilator therapy for the routine management of acute heart failure. (<xref ref-type="bibr" rid="r126"><italic>126</italic></xref>) Many patients present with acute breathlessness in the middle of the night. It is difficult to have research staff available &#x2018;24/7&#x2019; when there is no &#x2018;gateway&#x2019; similar to a coronary care unit or catheter laboratory. Compassionate investigators may also be unwilling to enrol frail elderly patients who are most at risk of adverse outcomes. Moreover, breathlessness usually responds to oxygen and diuretics within hours, (<xref ref-type="bibr" rid="r127"><italic>127</italic></xref>) especially for patients with a systolic blood pressure &#x2265;125 mmHg, as required in the serelaxin trials. On the other hand, patients with extensive peripheral oedema, (<xref ref-type="bibr" rid="r26"><italic>26</italic></xref>) renal dysfunction, and a low blood pressure, who often do not constitute an acute emergency have a poor prognosis and an unmet need for more effective interventions; pharmacological, or device. (<xref ref-type="bibr" rid="r127"><italic>127</italic></xref>-<xref ref-type="bibr" rid="r129"><italic>129</italic></xref>)</p>
</sec>
<sec sec-type="other15">
<title>Stem cell therapy</title>
<p>Intra-myocardial injection of stem cells failed to improve weaning from left ventricular assist devices. (<xref ref-type="bibr" rid="r130"><italic>130</italic></xref>)</p>
</sec>
<sec sec-type="subjects">
<title>Heart failure in patients with cancer</title>
<p>Interest in cardio-oncology reflects increasing survival after treatment for cancer, growing awareness of the CV toxicity associated with both established and new treatments for cancer, and interest in personalized risk-profiling prior to chemotherapy. People with cardiomyopathy-related gene mutations may be more prone (7.5% of those with compared to 1.1% of those without a titin gene mutation) to develop ventricular dysfunction after the administration of chemotherapy. (<xref ref-type="bibr" rid="r131"><italic>131</italic></xref>)</p>
<p>Interruption of trastuzumab is associated with a higher risk of cancer recurrence in women with early invasive HER2<sup>+ve</sup> breast cancer; about 60% of interruptions are for cardiotoxicity. (<xref ref-type="bibr" rid="r132"><italic>132</italic></xref>) An observational study showed that of 30 women receiving HER2-targeted therapies who developed an LVEF of 40&#x2013;49% and were treated prospectively with beta-blockers and ACE inhibitors, only three went on to develop severe heart failure or a LVEF &lt;35%. (<xref ref-type="bibr" rid="r133"><italic>133</italic></xref>) Cardiac function rarely returned to normal after completion of treatment, challenging the view that trastuzumab-related LV dysfunction is usually reversible. A recent study reported high rates of CV events, especially heart failure, amongst patients with multiple myeloma receiving potent proteasome inhibitors, such as carfilzomib and bortezomib, (<xref ref-type="bibr" rid="r134"><italic>134</italic></xref>) which were associated with much poorer survival. Risk factors for developing a CV event included elevated pre-treatment NT-proBNP or an increase during treatment. A systematic review of prophylactic use of renin&#x2013;angiotensin&#x2013;aldosterone antagonists and beta-blockers identified 22 relevant RCTs, of which the largest had only 206 patients, (<xref ref-type="bibr" rid="r135"><italic>135</italic></xref>, <xref ref-type="bibr" rid="r136"><italic>136</italic></xref>) but found no convincing evidence of clinical efficacy</p>
</sec>
<sec sec-type="other16">
<title>Implementation of therapy</title>
<p>Analyses of administrative data from primary care in the UK suggest that implementation of therapy has improved substantially over the last decade, with 72% now prescribed a beta-blocker, although many patients remain on less than target doses. (<xref ref-type="bibr" rid="r6"><italic>6</italic></xref>) Amongst hospital discharges in England and Wales, 89% of those with HFrEF were discharged on a beta-blocker (<ext-link ext-link-type="uri" xlink:href="https://www.nicor.org.uk/wp-content/uploads/2019/09/Heart-Failure-2019-Report-final.pdf">https://www.nicor.org.uk/wp-content/uploads/2019/09/Heart-Failure-2019-Report-final.pdf</ext-link>), which is very similar to that observed in patients with HFrEF selected for enrolment in the ESC-EURObservational Heart Failure Long-Term Registry. (<xref ref-type="bibr" rid="r137"><italic>137</italic></xref>) However, an analysis of Medicare beneficiaries in the USA found that only 51% of patients with HFrEF were prescribed a beta-blocker after a first or recurrent hospitalization for heart failure and only 12% received at least &#x2265;50% of the target dose by 1 year. (<xref ref-type="bibr" rid="r138"><italic>138</italic></xref>) This suggests that the organization of care for HFrEF makes an important difference to treatment and, consequently, outcome. However, a cluster RCT (n&#x2005;=&#x2005;2494) of service redesign aiming to improve hospital-to-home transition, which included self-care education, a structured hospital discharge summary, family physician follow-up within 1 week, and, for high-risk patients, home-visits, did not substantially improve patient well-being or outcome. (<xref ref-type="bibr" rid="r139"><italic>139</italic></xref>) An RCT (n&#x2005;=&#x2005;110) showed that frequent (several times per month) visits to participating community pharmacies could improve medication adherence and well-being. (<xref ref-type="bibr" rid="r140"><italic>140</italic></xref>) An RCT of 450 patients found benefits of e-Health intervention on self-care behaviour and quality of life in the first 3 months after initiation but not thereafter, (<xref ref-type="bibr" rid="r141"><italic>141</italic></xref>) with no effect on hospitalizations or mortality. There are many reasons why RCTs of complex interventions fail including inadequate power, suboptimal trial design, already excellent or unintended improvements in care for the control group, lack of long-term engagement and motivation of staff and patients, inclusion of patients for whom pharmacological intervention is largely ineffective (e.g. HFpEF) but sometimes we just have to admit that what should work does not. More evidence is required; learning from past experience. (<xref ref-type="bibr" rid="r142"><italic>142</italic></xref>)</p>
</sec>
<sec sec-type="other17">
<title>Rehabilitation</title>
<p>Systematic reviews suggest that exercise-based rehabilitation can improve patients&#x2019; well-being and exercise capacity and reduce heart failure-related and all-cause hospitalization but may not reduce mortality, despite potentially improving adherence to treatment. (<xref ref-type="bibr" rid="r143"><italic>143</italic></xref>&#x2013;<xref ref-type="bibr" rid="r147"><italic>147</italic></xref>) The best and most cost-effective service-model is a topic of active research. (<xref ref-type="bibr" rid="r148"><italic>148</italic></xref>, <xref ref-type="bibr" rid="r149"><italic>149</italic></xref>)</p>
</sec>
<sec sec-type="other18">
<title>Palliative care</title>
<p>Morphine relieves chronic breathlessness in patients with chronic lung disease but data for heart failure are sparse. An RCT of 45 patients failed to demonstrate important clinical benefits of morphine administration to patients with HFrEF or HFpEF predominantly in NYHA functional class III. (<xref ref-type="bibr" rid="r150"><italic>150</italic></xref>)</p>
</sec>
<sec sec-type="other19">
<title>Withdrawing treatment for heart failure after recovery</title>
<p>Withdrawing treatment from patients with idiopathic or genetically determined dilated cardiomyopathy who have experienced full recovery of ventricular function should be done with great caution if at all. (<xref ref-type="bibr" rid="r151"><italic>151</italic></xref>) Although patients with a recovered LVEF (HFrcEF) may have a better prognosis, it may still not be good. (<xref ref-type="bibr" rid="r152"><italic>152</italic></xref>) Further research is required for peripartum and other specific types of cardiomyopathy. A recent report from an old trial (DIG), suggested that withdrawal of digoxin was associated with an increased risk of hospitalization for heart failure but did not affect mortality. (<xref ref-type="bibr" rid="r153"><italic>153</italic></xref>) An RCT of 188 patients with stable heart failure from Brazil suggested that 75% of patients could be withdrawn from loop diuretics for at least 90&#x2005;days without deterioration in symptoms, need for reinstitution of diuretic therapy, or a rise in plasma NT-proBNP. (<xref ref-type="bibr" rid="r154"><italic>154</italic></xref>) This is in stark contrast to a smaller RCT from the UK, where withdrawal of diuretics and other therapies for 48&#x2005;h led to a doubling of plasma concentrations of NT-proBNP, an increase in LV and left atrial volumes and worsening symptoms. (<xref ref-type="bibr" rid="r155"><italic>155</italic></xref>)</p>
</sec>
<sec sec-type="conclusions">
<title>Conclusion</title>
<p>Great progress in the understanding and management of heart failure has been made over the last year. New controversies and new evidence challenge many old assumptions. As ever, some will resist progress and others will embrace it. You, the reader, must help our professions and patients find the correct balance between reckless enthusiasm and diagnostic and therapeutic inertia.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<label>Funding</label>
<p>The British Heart Foundation Cardiovascular Research Centre at the University of Glasgow is supported by a Centre of Research Excellence grant from the British Heart Foundation (RE/18/6/34217).</p>
</fn>
<fn fn-type="conflict">
<p><bold>Conflict of interest:</bold> Dr J.G.C. reports grants and personal fees from Amgen, Bayer, Novartis, Vifor, and Pharmacosmos; personal fees and non-financial support from Medtronic; personal fees from Abbott, outside the submitted work. Dr A.R.L. reports personal fees from Servier, Novartis, Roche, Takeda, Boehringer Ingelheim, Amgen, Clinigen Group, Ferring Pharmaceuticals, Eli Lily, Bristol Myers Squibb, and Eisai Ltd; grants and personal fees from Pfizer, outside the submitted work. T.M. reports honoraria from Vifor. J.J.M. reports non-financial support and other from AstraZeneca, during the conduct of the study; other from Bayer, non-financial support and other from Cardiorentis, non-financial support and other from Amgen, non-financial support and other from Oxford University/Bayer, non-financial support and other from Theracos, non-financial support and other from Abbvie, other from DalCor, other from Pfizer, other from Merck, non-financial support and other from Novartis, non-financial support and other from Glaxo Smith Kline (GSK), other from Bristol Myers Squibb (BMS), non-financial support and other from Vifor-Fresenius, non-financial support and other from Kidney Research UK (KRUK), non-financial support and other from Novartis, outside the submitted work.</p>
</fn>
</fn-group>
<ref-list>
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