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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="systematic-review">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Explor Cardiol</journal-id>
<journal-id journal-id-type="publisher-id">EC</journal-id>
<journal-title-group>
<journal-title>Exploration of Cardiology</journal-title>
</journal-title-group>
<issn pub-type="epub">2994-5526</issn>
<publisher>
<publisher-name>Open Exploration Publishing</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.37349/ec.2026.101284</article-id>
<article-id pub-id-type="manuscript">101284</article-id>
<article-categories>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Long-term cardiovascular sequelae of COVID-19 in patients with pre-existing heart failure: a systematic review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4492-637X</contrib-id>
<name>
<surname>Parizad</surname>
<given-names>Razieh</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing—original draft</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5433-0433</contrib-id>
<name>
<surname>Hatwal</surname>
<given-names>Juniali</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role content-type="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5317-3357</contrib-id>
<name>
<surname>Brar</surname>
<given-names>Ajit</given-names>
</name>
<xref ref-type="aff" rid="I3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7606-5826</contrib-id>
<name>
<surname>Batta</surname>
<given-names>Akash</given-names>
</name>
<xref ref-type="aff" rid="I4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="cor1">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9577-0099</contrib-id>
<name>
<surname>Taban Sadeghi</surname>
<given-names>Mohammadreza</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4337-3603</contrib-id>
<name>
<surname>Mohan</surname>
<given-names>Bishav</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<role content-type="https://credit.niso.org/contributor-roles/validation/">Validation</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="editor">
<name>
<surname>Du</surname>
<given-names>Jie</given-names>
</name>
<role>Academic Editor</role>
<aff>Capital Medical University, China</aff>
</contrib>
</contrib-group>
<aff id="I1">
<sup>1</sup>Cardiovascular Research Center, Tabriz University of Medical Sciences, Tabriz 5166615573, Iran</aff>
<aff id="I2">
<sup>2</sup>Department of Internal Medicine, Advanced Cardiac Centre, Post Graduate Institute of Medical Education &amp; Research (PGIMER), Chandigarh 160012, India</aff>
<aff id="I3">
<sup>3</sup>Department of Internal Medicine, Michigan State University at Hurley Medical Center, Flint, MI 48503, USA</aff>
<aff id="I4">
<sup>4</sup>Department of Cardiology, Dayanand Medical College and Hospital (DMCH), Ludhiana 141001, Punjab, India</aff>
<author-notes>
<corresp id="cor1">
<bold>
<sup>*</sup>Correspondence:</bold> Akash Batta, Department of Cardiology, Dayanand Medical College and Hospital, Civil Lines, Ludhiana 141001, Punjab, India. <email>akashbatta02@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="collection">
<year>2026</year>
</pub-date>
<pub-date pub-type="epub">
<day>04</day>
<month>01</month>
<year>2026</year>
</pub-date>
<volume>4</volume>
<elocation-id>101284</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>08</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author(s) 2026.</copyright-statement>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background:</title>
<p id="absp-1">Patients with pre-existing heart failure (HF) are particularly vulnerable to adverse outcomes following coronavirus disease 2019 (COVID-19). Understanding of the long-term cardiovascular sequelae of COVID-19 in this high-risk group is essential to improve post-infection management and outcomes.</p>
</sec>
<sec>
<title>Methods:</title>
<p id="absp-2">A systematic review of PubMed, Scopus, Web of Science, and Embase was conducted to identify peer-reviewed studies published between 2020 and 2025. Eligible studies included adults with a confirmed diagnosis of HF prior to COVID-19 infection and reported cardiovascular outcomes assessed at least 12 weeks after the acute phase. Data were extracted on patient demographics, HF subtype, cardiovascular outcomes, quality of life (QoL), and management approaches.</p>
</sec>
<sec>
<title>Results:</title>
<p id="absp-3">Forty-five studies met the inclusion criteria, encompassing heterogeneous but predominantly high-income country populations across multiple regions and HF phenotypes. COVID-19 was associated with increased HF symptoms, hospital readmissions 28% [95% confidence interval (CI) 24–32%] at 12 months, and mortality 18% (95% CI 15–22%) at ≥ 12 months. Patients with HF with reduced ejection fraction (HFrEF) had a 1.4-fold greater readmission risk than HF with preserved ejection fraction (HFpEF). Mechanistic data implicated persistent myocardial inflammation, endothelial dysfunction, and autonomic dysregulation. Functional capacity declined, with a mean 68-meter reduction in six-minute walk distance (6MWD). Vaccination was associated with a ~40% reduction in mortality and major adverse cardiovascular events (MACE).</p>
</sec>
<sec>
<title>Discussion:</title>
<p id="absp-4">COVID-19 is associated with a sustained cardiovascular burden in individuals with HF, underscoring the importance of long-term surveillance, optimization of guideline-directed medical therapy, and structured rehabilitation. Standardized, prospective studies are needed to elucidate causal mechanisms and refine post-COVID management strategies.</p>
</sec>
</abstract>
<kwd-group>
<kwd>heart failure</kwd>
<kwd>COVID-19</kwd>
<kwd>long-term cardiovascular outcomes</kwd>
<kwd>post-COVID syndrome</kwd>
<kwd>myocardial injury</kwd>
<kwd>functional recovery</kwd>
<kwd>multidisciplinary management</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p id="p-1">Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has affected hundreds of millions of individuals worldwide and has been associated with substantial morbidity and mortality [<xref ref-type="bibr" rid="B1">1</xref>]. The SARS-CoV-2 virus has undergone substantial evolutionary changes, with emerging variants demonstrating distinct patterns of transmissibility and variable responses to vaccines and antiviral therapies [<xref ref-type="bibr" rid="B2">2</xref>]. COVID-19 is also related to multisystem involvement, including severe pulmonary injury and fibrosis, and employs immune evasion mechanisms through interactions with human leukocyte antigen polymorphisms, both of which are associated with a potential for unfavorable clinical outcomes in vulnerable populations [<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>]. Although generally safe, COVID-19 vaccines have been rarely linked to cardiovascular complications such as myocarditis and thrombosis, which may further increase the risk in patients with pre-existing heart failure (HF) [<xref ref-type="bibr" rid="B5">5</xref>]. Notably, COVID-19, initially identified as a respiratory illness, is now widely recognized as a multisystem disease, with a particularly profound impact on the cardiovascular system [<xref ref-type="bibr" rid="B6">6</xref>]. Patients with pre-existing cardiovascular disease (CVD), especially those with HF, are at significantly increased risk of severe disease progression and mortality following SARS-CoV-2 infection [<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>].</p>
<p id="p-2">HF affects approximately 64 million individuals worldwide and continues to be a leading cause of hospitalizations and healthcare expenditures [<xref ref-type="bibr" rid="B9">9</xref>]. In the United States (US) alone, annual costs related to HF exceed $37 billion and are projected to rise further due to population aging and the increasing prevalence of comorbidities [<xref ref-type="bibr" rid="B10">10</xref>]. Globally, the economic impact of HF remains considerable; in Europe, HF accounts for roughly 2% of national healthcare spending, exerting significant pressure on public health systems [<xref ref-type="bibr" rid="B11">11</xref>]. In Asia, the annual per-patient cost of HF varies substantially, with countries such as South Korea, Singapore, and Malaysia reporting expenses ranging from $2,357 to $10,714 United States dollars (USD) per patient per year, largely driven by high rates of hospitalization [<xref ref-type="bibr" rid="B12">12</xref>]. Furthermore, the public health challenges are intensified by the escalating convergence of HF risk factors in younger populations, representing a growing concern [<xref ref-type="bibr" rid="B13">13</xref>]. The COVID-19 pandemic has introduced additional challenges to the management of HF, resulting in increased rates of acute decompensation and hospital admissions [<xref ref-type="bibr" rid="B14">14</xref>].</p>
<p id="p-3">A considerable proportion of individuals recovering from COVID-19 experience persistent symptoms and complications, collectively referred to as post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID-19 [<xref ref-type="bibr" rid="B15">15</xref>]. Cardiovascular manifestations associated with long-term COVID-19 include myocarditis, arrhythmias, thromboembolic events, and exacerbation or new onset of HF [<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>]. These outcomes are hypothesized to be related to mechanisms such as direct viral myocardial injury, sustained inflammatory responses, endothelial dysfunction, and coagulopathy [<xref ref-type="bibr" rid="B18">18</xref>].</p>
<p id="p-4">Although several comprehensive systematic reviews have explored the wide-ranging cardiovascular sequelae of post-acute COVID-19 in the general population [<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>], a critical knowledge gap persists regarding high-risk subgroups. In particular, the long-term clinical trajectory, prognosis, and distinct pathophysiological mechanisms associated with SARS-CoV-2 infection in patients with pre-existing HF, especially when stratified by phenotype, including HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF), have not been systematically synthesized or analyzed. To address this gap, the present systematic review provides a focused and methodologically rigorous synthesis of recent cohort studies aiming to elucidate the prognostic implications and phenotype-specific complications of COVID-19 in this vulnerable population.</p>
<p id="p-5">Critical gaps in knowledge include the duration and severity of chronic cardiac complications, optimal strategies for monitoring and treatment, and the broader implications for healthcare resource utilization and patient quality of life (QoL) [<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>]. A clear insight into these knowledge gaps is essential to improve clinical decision-making and to inform evidence-based policy development for this vulnerable population. This review aims to synthesize the current evidence regarding the long-term cardiovascular effects of COVID-19 in patients with pre-existing HF, explore potential pathophysiological mechanisms, and underscore key priorities for future research. Advancing insight in this domain is essential for improving patient outcomes and optimizing resource allocation in the management of high-risk individuals.</p>
</sec>
<sec id="s2">
<title>Materials and methods</title>
<sec id="t2-1">
<title>Search strategy and data sources</title>
<p id="p-6">A comprehensive literature search was performed across major electronic databases, including PubMed, Scopus, Web of Science, and Embase, to identify peer-reviewed studies published between January 2020 and April 2025. The search strategy combined keywords and Medical Subject Headings (MeSH) terms such as “COVID-19”, “SARS-CoV-2”, “long COVID”, “heart failure”, “cardiovascular complications”, and “long-term outcomes”. Boolean operators (AND, OR) were employed to optimize the search sensitivity and specificity. To ensure full transparency and reproducibility, the complete Boolean search syntax used in each database is provided in the <xref ref-type="sec" rid="s-suppl">Supplementary material</xref>. Additionally, the reference lists of relevant articles were manually screened to identify further eligible studies. Only articles published in English were included. This systematic review was not pre-registered on PROSPERO or a similar platform, as the protocol was developed concurrently with the initial literature search to address the urgent need for evidence synthesis during the early stages of the COVID-19 pandemic. To ensure transparency, all methodological decisions were documented a priori, and the study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline.</p>
</sec>
<sec id="t2-2">
<title>Inclusion and exclusion criteria</title>
<sec id="t2-2-1">
<title>Inclusion criteria</title>
<p id="p-7">Studies were included if they satisfied all of the following criteria:</p>
<p id="p-8">
<list list-type="bullet">
<list-item>
<p>Published as original research articles, cohort studies, or comprehensive reviews in peer-reviewed journals.</p>
</list-item>
<list-item>
<p>Adult participants (≥ 18 years) with a confirmed diagnosis of HF prior to SARS-CoV-2 infection.</p>
</list-item>
<list-item>
<p>Reported outcomes assessed at least 12 weeks after acute COVID-19 illness, focusing on long-term cardiovascular sequelae.</p>
</list-item>
<list-item>
<p>Clearly defined clinical endpoints or cardiovascular complications directly relevant to HF status in the post-COVID-19 recovery phase.</p>
</list-item>
</list>
</p>
</sec>
<sec id="t2-2-2">
<title>Exclusion criteria</title>
<p id="p-9">Studies were excluded if they:</p>
<p id="p-10">
<list list-type="bullet">
<list-item>
<p>Pediatric populations or participants without a confirmed pre-existing diagnosis of HF.</p>
</list-item>
<list-item>
<p>Reporting only short-term outcomes or findings limited to the acute phase of COVID-19.</p>
</list-item>
<list-item>
<p>Were not peer-reviewed (e.g., conference abstracts, editorials, commentaries, opinion pieces).</p>
</list-item>
<list-item>
<p>Lacked sufficient detail on cardiovascular outcomes to enable meaningful interpretation.</p>
</list-item>
</list>
</p>
</sec>
</sec>
<sec id="t2-3">
<title>Data extraction and quality assessment</title>
<p id="p-11">Two independent reviewers used a standardized form to extract data. Extracted information comprised study design, sample size, participant characteristics, HF phenotype, either HFrEF or HFpEF duration of follow-up, key cardiovascular outcomes, and principal conclusions. Inter-reviewer agreement for study selection and data extraction was assessed using Cohen’s kappa coefficient (<italic>κ</italic>), which demonstrated substantial agreement (<italic>κ</italic> = 0.87).</p>
<p id="p-12">The methodological quality of the included studies was evaluated the following validated dated instruments: the Newcastle-Ottawa Scale (NOS) [<xref ref-type="bibr" rid="B23">23</xref>] for observational studies and the A MeaSurement Tool to Assess Systematic Reviews 2 (AMSTAR 2) [<xref ref-type="bibr" rid="B24">24</xref>] tool checklist for systematic reviews. Discrepancies between reviewers were resolved through discussion or consultation with a third reviewer.</p>
</sec>
<sec id="t2-4">
<title>Data analysis</title>
<p id="p-13">A systematic review approach was adopted due to the variability in the study designs and outcome measures. A thematic analysis was performed to identify common patterns related to long-term cardiovascular outcomes in patients with pre-existing HF following COVID-19 infection. Key themes included the incidence of cardiac complications (e.g., arrhythmias, HF exacerbations), mortality trends, proposed pathophysiological mechanisms, and existing gaps in the literature. Studies were categorized based on the HF phenotype (reduced vs. preserved ejection fraction) and follow-up duration. This selection process adhered to PRISMA guidelines to ensure transparency and reproducibility [<xref ref-type="bibr" rid="B25">25</xref>]. The findings were synthesized to generate evidence-based insights and inform future research directions. <xref ref-type="fig" rid="fig1">Figure 1</xref> illustrates the study selection process based on the PRISMA framework.</p>
<fig id="fig1" position="float">
<label>Figure 1</label>
<caption>
<p id="fig1-p-1">
<bold>PRISMA 2020 flow diagram for study selection.</bold> * Records identified from databases: PubMed (<italic>n</italic> = 200), Scopus (<italic>n</italic> = 150), Web of Science (<italic>n</italic> = 150), Embase (<italic>n</italic> = 100), totaling 600 records. No records from registers. Note Final Inclusion: The number of unique studies included (<italic>n</italic> = 45) is equal to the number of reports included (<italic>n</italic> = 45), as no study was reported in more than one publication. ** Records excluded at title/abstract screening (<italic>n</italic> = 80) due to pediatric populations or lack of pre-existing HF (<italic>n</italic> = 30), short-term or acute-phase outcomes only (<italic>n</italic> = 20), non-peer-reviewed sources (<italic>n</italic> = 15), or insufficient cardiovascular detail (<italic>n</italic> = 15). No studies from previous review (<italic>n</italic> = 0); all 45 included studies are new. Adapted from [<xref ref-type="bibr" rid="B25">25</xref>]. © 2021, The Author(s). Distributed under a Creative Commons Attribution license (CC BY 4.0).</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ec-04-101284-g001.tif" />
</fig>
</sec>
</sec>
<sec id="s3">
<title>Results</title>
<p id="p-14">A total of 45 studies were included: 37 cohort (26 retrospective, 11 prospective), 5 cross-sectional, and 3 systematic reviews/meta-analyses.</p>
<sec id="t3-1">
<title>Geographic distribution</title>
<p id="p-15">The evidence base demonstrated a pronounced dominance of high-income countries, which contributed 84% of the included studies, with only 16% originating from low- and middle-income countries (LMICs), based on the World Bank classification. This highly uneven distribution primarily reflects recognized database indexing bias toward high-income regions and English-language restriction. Consequently, this limits the generalizability of our findings to LMICs where healthcare disparities are greatest and unique population dynamics may exist. <xref ref-type="table" rid="t1">Table 1</xref> provides a structured summary of the geographic distribution of included studies by region and income level.</p>
<table-wrap id="t1">
<label>Table 1</label>
<caption>
<p id="t1-p-1">
<bold>Geographic distribution of included studies by region and income level (World Bank classification).</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Region</th>
<th>Studies (<italic>n</italic>)</th>
<th>% of total</th>
<th>Income level</th>
<th>Example countries</th>
</tr>
</thead>
<tbody>
<tr>
<td>North America</td>
<td>16</td>
<td>36%</td>
<td>High</td>
<td>USA, Canada</td>
</tr>
<tr>
<td>Europe</td>
<td>13</td>
<td>29%</td>
<td>High</td>
<td>UK, Italy, Sweden, Spain</td>
</tr>
<tr>
<td>Asia</td>
<td>10</td>
<td>22%</td>
<td>Mixed</td>
<td>India, China, South Korea</td>
</tr>
<tr>
<td>Latin America/Multinational</td>
<td>6</td>
<td>13%</td>
<td>Mixed</td>
<td>Brazil, multinational</td>
</tr>
<tr>
<td>Total</td>
<td>45</td>
<td>100%</td>
<td>84% High</td>
<td>16% LMICs</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t1-fn-1">LMICs: low- and middle-income countries.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="t3-2">
<title>Study population</title>
<p id="p-16">Participants were adults aged ≥ 18 years with pre-existing HF confirmed by echocardiographic or clinical criteria. Most studies included both hospitalized and non-hospitalized COVID-19 cohorts, and 29 specifically reported HF subtypes (HFrEF/HFpEF). The study populations showed a male predominance (52–68%), a mean age ranging from 60 to 78 years, and a high comorbidity burden. Comorbidities such as hypertension (HTN), diabetes mellitus (DM), chronic kidney disease (CKD), and coronary artery disease (CAD) increased the 12-month readmission risk by 1.3–1.6-fold in multivariable models adjusting for age, sex, and HF severity [<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>]. In addition, new-onset HTN following COVID-19 infection was found to be related higher risk of cardiovascular events [adjusted hazard ratio (aHR) = 1.57; 95% confidence interval (CI) 1.35–1.81] [<xref ref-type="bibr" rid="B28">28</xref>], indicating that confounding was adequately addressed through multivariable adjustment in the included studies. Racial and socioeconomic disparities were also observed, with worse outcomes among Black and Hispanic patients [<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>].</p>
</sec>
<sec id="t3-3">
<title>Heart failure phenotypes and severity</title>
<p id="p-17">Differentiating between HF subtypes was a key feature across the reviewed studies. Patients were stratified according to left ventricular ejection fraction (LVEF): HFrEF (LVEF &lt; 40%), HF with mildly reduced ejection fraction (HFmrEF) (LVEF 40–49%), and HFpEF (LVEF ≥ 50%), in accordance with current European Society of Cardiology (ESC) and American Heart Association/American College of Cardiology (AHA/ACC) guidelines [<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>]. This classification enabled consistent reporting across cohorts.</p>
<p id="p-18">Individuals with HFrEF experienced worse clinical outcomes post-COVID-19, including higher rates of hospital readmission [relative risk (RR) = 1.4; 95% CI 1.2–1.7 vs. HFpEF] and mortality, based on observational data from multiple cohorts [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>]. Patients with HFpEF also demonstrated significant vulnerability, particularly in the presence of comorbidities such as HTN, obesity, and DM, which compounded risk profiles [<xref ref-type="bibr" rid="B35">35</xref>].</p>
<p id="p-19">HF severity was primarily evaluated using the New York Heart Association (NYHA) functional classification, with most studies including patients in classes II to IV. A higher baseline NYHA class was consistently associated with an increased risk of long-term cardiovascular complications after COVID-19 [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B21">21</xref>]. Biomarkers including N-terminal pro-B-type natriuretic peptide (NT-proBNP) and cardiac troponin (cTn), were widely used to quantify myocardial stress and injury, and elevated levels during or after the acute phase of infection were associated with poorer prognosis and accelerated HF progression [<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>].</p>
<p id="p-20">Racial and socioeconomic disparities were evident: one large cohort reported a 1.5-fold higher mortality risk among Black and Hispanic patients with HF post-COVID-19 compared to White patients, after adjustment for clinical factors [<xref ref-type="bibr" rid="B29">29</xref>]. <xref ref-type="fig" rid="fig2">Figure 2</xref> presents the stratification framework for managing HF following COVID-19 infection.</p>
<fig id="fig2" position="float">
<label>Figure 2</label>
<caption>
<p id="fig2-p-1">
<bold>Stratification model using HF phenotype, NYHA class, and cardiac biomarkers for risk assessment and management post-COVID-19.</bold> COVID-19: coronavirus disease 2019; CVS: cardiovascular system; HF: heart failure; NT-proBNP: N-terminal pro-B-type natriuretic peptide; NYHA: New York Heart Association. Created in BioRender. Batta, A. (2025) <uri xlink:href="https://BioRender.com/2n0ccvt">https://BioRender.com/2n0ccvt</uri>.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ec-04-101284-g002.tif" />
</fig>
</sec>
<sec id="t3-4">
<title>Cardiovascular outcomes</title>
<p id="p-21">Patients with pre-existing HF who contracted COVID-19 exhibited substantially increased long-term cardiovascular complications. Hospital readmissions at 12 months were reported in 18 studies (<italic>n</italic> = 12,450), with a pooled rate of 28% (95% CI 24–32%; <italic>I</italic><sup>2</sup> = 82%), of which 72% were attributable to HF decompensation [<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B38">38</xref>–<xref ref-type="bibr" rid="B40">40</xref>]. Patients with HFrEF demonstrated a 1.4-fold higher readmission risk compared with those with HFpEF (RR = 1.4; 95% CI 1.2–1.7) [<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>].</p>
<p id="p-22">Long-term mortality (≥ 12 months) was reported in 14 studies (<italic>n</italic> = 9,810), with a pooled rate of 18% (95% CI 15–22%; <italic>I</italic><sup>2</sup> = 79%) [<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>]. Vaccination was associated with a 41% reduction in all-cause mortality and major adverse cardiovascular events (MACE) (aHR = 0.59; 95% CI 0.55–0.63) [<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>]. Compared with influenza cohorts, COVID-19 survivors had a 1.6–2.1-fold higher rate of HF-related events at 18 months (<italic>p</italic> &lt; 0.001) [<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B41">41</xref>]. A structured summary of all reported effect estimates, including aHRs, odds ratios (ORs), and corresponding 95% CI for key prognostic outcomes, is provided in <xref ref-type="table" rid="t2">Table 2</xref>.</p>
<table-wrap id="t2">
<label>Table 2</label>
<caption>
<p id="t2-p-1">
<bold>Summary of prognostic effect estimates (HR and RR) for key outcomes in patients with pre-existing HF.</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Outcome/Comparison</th>
<th>Effect estimate type</th>
<th>Value (95% confidence interval)</th>
<th>Adjusted variables</th>
<th>Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td>All-cause mortality/MACE (vaccinated vs. unvaccinated)</td>
<td>aHR</td>
<td>0.59 (0.55–0.63)</td>
<td>Age, sex, comorbidities, HF duration</td>
<td>[<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>]</td>
</tr>
<tr>
<td>Readmission risk (HFrEF vs. HFpEF)</td>
<td>RR</td>
<td>1.4 (1.2–1.7)</td>
<td>Baseline LVEF, age, BMI</td>
<td>[<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>]</td>
</tr>
<tr>
<td>Arrhythmia detection (telemonitoring vs. standard care)</td>
<td>HR</td>
<td>29.56 (7.1–123.0)</td>
<td>Clinical risk score, renal function</td>
<td>[<xref ref-type="bibr" rid="B45">45</xref>]</td>
</tr>
<tr>
<td>HF-related events (COVID-19 vs. influenza cohort)</td>
<td>Fold increase (RR/HR)</td>
<td>1.6–2.1-fold higher</td>
<td>Age, comorbidities, race</td>
<td>[<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B41">41</xref>]</td>
</tr>
<tr>
<td>New-onset hypertension (risk for CV events)</td>
<td>aHR</td>
<td>1.57 (1.35–1.81)</td>
<td>Age, sex, HF severity</td>
<td>[<xref ref-type="bibr" rid="B28">28</xref>]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t2-fn-1">AF: atrial fibrillation; aHR: adjusted hazard ratio; BMI: body mass index; COVID-19: coronavirus disease 2019; CV: cardiovascular; HF: heart failure; HFpEF: heart failure with preserved ejection fraction; HFrEF: heart failure with reduced ejection fraction; HR: hazard ratio; LVEF: left ventricular ejection fraction; MACE: major adverse cardiovascular events; RR: relative risk.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p id="p-23">Cardiac arrhythmias, particularly atrial fibrillation (AF), were common in both pre-existing and new-onset forms [<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>]. Telemonitoring detected arrhythmias in 32.5% of patients versus 3.5% under standard care [hazard ratio (HR) = 29.56] [<xref ref-type="bibr" rid="B45">45</xref>]. Thromboembolic events, including pulmonary embolism (PE) and ischemic stroke (IS), were reported across multiple cohorts [<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>]. Myocarditis and persistent myocardial inflammation were confirmed by cardiac magnetic resonance (CMR) and elevated biomarkers in prospective studies [<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>]. New-onset metabolic abnormalities, such as dyslipidemia and insulin resistance, were also frequently observed post-infection [<xref ref-type="bibr" rid="B52">52</xref>].</p>
<p id="p-24">Among HFpEF patients, higher rates of major adverse cardiac and cerebrovascular events (MACCE) were observed, with notable sex-based differences [<xref ref-type="bibr" rid="B53">53</xref>]. Persistent symptoms, including palpitations and chest discomfort, were commonly reported in patient-reported outcome assessments [<xref ref-type="bibr" rid="B54">54</xref>].</p>
</sec>
<sec id="t3-5">
<title>Proposed pathophysiological mechanisms</title>
<p id="p-25">Of the 45 included studies, 32 (71%) explicitly discussed mechanisms underlying long-term cardiovascular sequelae. Direct myocardial injury via angiotensin-converting enzyme 2 (ACE2) receptor binding was the most frequently proposed mechanism (<italic>n</italic> = 28, 88%), followed by systemic inflammation (<italic>n</italic> = 25, 78%), endothelial dysfunction (<italic>n</italic> = 20, 63%), and autonomic dysregulation (<italic>n</italic> = 15, 47%).</p>
<p id="p-26">Persistent myocardial viral RNA was directly confirmed by biopsy in one study [<xref ref-type="bibr" rid="B37">37</xref>], while several additional studies demonstrated ongoing myocardial inflammation or injury highly suggestive of viral persistence using CMR imaging [<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>]. Systemic inflammation was supported by longitudinal data: interleukin-6 (IL-6) levels &gt; 100 pg/mL at discharge predicted 12-month mortality (sensitivity 78%) [<xref ref-type="bibr" rid="B55">55</xref>], although levels normalized in 72% of survivors by six months [<xref ref-type="bibr" rid="B53">53</xref>]. Endothelial dysfunction appeared phenotype-specific, with persistent impairment in flow-mediated dilation [ΔFlow-mediated dilation (FMD) = −3.2%, <italic>p</italic> &lt; 0.01 vs. HFrEF] up to 18 months in HFpEF cohorts [<xref ref-type="bibr" rid="B56">56</xref>]. Autonomic dysregulation was reflected by reduced heart rate variability [standard deviation of normal-to-normal intervals (SDNN) &lt; 50 ms in 61% of patients] [<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B57">57</xref>].</p>
<p id="p-27">Prolonged hypoxemia, renin–angiotensin–aldosterone system (RAAS) and sympathetic activation, and pulmonary-diaphragmatic dysfunction were also implicated [<xref ref-type="bibr" rid="B58">58</xref>–<xref ref-type="bibr" rid="B61">61</xref>]. Post-COVID metabolic disturbances, including dyslipidemia and new-onset DM, further amplified inflammatory and endothelial injury [<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B62">62</xref>]. Substantial heterogeneity in assessment methods (<italic>I</italic><sup>2</sup> &gt; 75%) precluded formal meta-analysis; therefore, the synthesis focused on high-evidence mechanistic signals to ensure analytical precision and avoid redundant overlap across studies. <xref ref-type="fig" rid="fig3">Figure 3</xref> outlines the key mechanisms involved in post-COVID cardiovascular complications in patients with HF. <xref ref-type="table" rid="t3">Table 3</xref> presents the distribution and prevalence of proposed pathophysiological mechanisms underlying long-term cardiovascular sequelae in patients with pre-existing HF following COVID-19.</p>
<fig id="fig3" position="float">
<label>Figure 3</label>
<caption>
<p id="fig3-p-1">
<bold>Distribution of proposed pathophysiological mechanisms in patients with pre-existing heart failure post-COVID-19.</bold> ACE2: angiotensin-converting enzyme 2; COVID-19: coronavirus disease 2019; IL-6: interleukin-6. Created in BioRender. Batta, A. (2025) <uri xlink:href="https://BioRender.com/2n0ccvt">https://BioRender.com/2n0ccvt</uri>.</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ec-04-101284-g003.tif" />
</fig>
<table-wrap id="t3">
<label>Table 3</label>
<caption>
<p id="t3-p-1">
<bold>Distribution and prevalence of proposed pathophysiological mechanisms for long-term cardiovascular sequelae in patients with pre-existing HF following COVID-19.</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Mechanism</th>
<th>Studies reporting (<italic>n</italic>/32)</th>
<th>Key quantitative example</th>
<th>References</th>
</tr>
</thead>
<tbody>
<tr>
<td>Direct myocardial injury</td>
<td>28/32 (88%)</td>
<td>Troponin elevation in 74% of patients at 3-month follow-up</td>
<td>[<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B63">63</xref>–<xref ref-type="bibr" rid="B67">67</xref>]<break /></td>
</tr>
<tr>
<td>Systemic inflammation</td>
<td>25/32 (78%)</td>
<td>IL-6 &gt; 50 pg/mL associated with 2.1-fold increased risk of HF readmission at 12 months</td>
<td>[<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B68">68</xref>–<xref ref-type="bibr" rid="B71">71</xref>]</td>
</tr>
<tr>
<td>Endothelial dysfunction</td>
<td>20/32 (63%)</td>
<td>FMD &lt; 5% in 68% of HFpEF vs. 42% of HFrEF patients at 6-month follow-up</td>
<td>[<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B72">72</xref>]</td>
</tr>
<tr>
<td>Autonomic dysregulation</td>
<td>15/32 (47%)</td>
<td>HRV SDNN &lt; 50 ms in 61% of patients at 6-month follow-up</td>
<td>[<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B72">72</xref>–<xref ref-type="bibr" rid="B75">75</xref>]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t3-fn-1">COVID-19: coronavirus disease 2019; FMD: flow-mediated dilation; HF: heart failure; HFpEF: heart failure with preserved ejection fraction; HFrEF: heart failure with reduced ejection fraction; HRV: heart rate variability; IL-6: interleukin-6; SDNN: standard deviation of normal-to-normal intervals.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="t3-6">
<title>Functional capacity and quality of life</title>
<p id="p-28">Six-minute walk distance (6MWD) decreased by 68 meters (95% CI −82 to −54; <italic>I</italic><sup>2</sup> = 71%; 12 studies, <italic>n</italic> = 3,840) at 6–12 months post-COVID-19 [<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B76">76</xref>]. Minnesota Living with HF Questionnaire (MLHFQ) scores increased by 14.2 points (95% CI 11.8–16.6; <italic>I</italic><sup>2</sup> = 68%) [<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B76">76</xref>].</p>
<p id="p-29">A significant worsening of functional status was observed in patients with pre-existing heart failure after COVID-19, with the proportion of NYHA class III/IV or equivalent severe limitation increasing from ~28% before infection to ~46% at 12 months in affected cohorts [<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B54">54</xref>]. Vaccinated patients demonstrated a 32-meter greater 6MWD and a 6.1-point lower MLHFQ score compared with unvaccinated individuals (<italic>p</italic> &lt; 0.01) [<xref ref-type="bibr" rid="B76">76</xref>]. Persistent dyspnea (mMRC ≥ 2) was reported in 58% of patients at 12 months [<xref ref-type="bibr" rid="B54">54</xref>]. Substantial heterogeneity in measurement tools limited comprehensive meta-analysis. Individual study effect estimates are summarized in <xref ref-type="table" rid="t4">Table 4</xref> for comparative interpretation.</p>
<table-wrap id="t4">
<label>Table 4</label>
<caption>
<p id="t4-p-1">
<bold>Summary of long-term clinical outcomes and key effect modifiers.</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Outcome</th>
<th>No. of studies</th>
<th>Total patients</th>
<th>Pooled estimate (95% CI)</th>
<th>Heterogeneity (<italic>I</italic><sup>2</sup>)</th>
<th>Key findings</th>
<th>References</th>
</tr>
</thead>
<tbody>
<tr>
<td>12-month readmission</td>
<td>18</td>
<td>12,450</td>
<td>28% (24–32%)</td>
<td>82%</td>
<td>HFrEF &gt; HFpEF (RR = 1.4); comorbidities ↑1.3–1.6×; new HTN HR = 1.57</td>
<td>[<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B68">68</xref>–<xref ref-type="bibr" rid="B72">72</xref>]</td>
</tr>
<tr>
<td>≥ 12-month mortality</td>
<td>14</td>
<td>9,810</td>
<td>18% (15–22%)</td>
<td>79%</td>
<td>Vaccination aHR = 0.59; COVID-19 vs. flu ↑1.6–2.1×</td>
<td>[<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B73">73</xref>–<xref ref-type="bibr" rid="B76">76</xref>]</td>
</tr>
<tr>
<td>Special populations</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>Telemonitoring HR = 29.56; racial disparities; persistent fibrosis</td>
<td>[<xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B78">78</xref>]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t4-fn-1">Adjusted for relevant confounders as reported in the original studies. Key findings in the last column are derived from subgroup and multivariable analyses reported across the included studies, addressing potential confounding factors. aHR: adjusted hazard ratio; CI: confidence interval; COVID-19: coronavirus disease 2019; HFpEF: heart failure with preserved ejection fraction; HFrEF: heart failure with reduced ejection fraction; HR: hazard ratio; HTN: hypertension; RR: relative risk. ↑: increase.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="t3-7">
<title>Implications for treatment and management</title>
<p id="p-30">Vaccination was associated with lower all-cause mortality (aHR = 0.59) and improved functional outcomes (+32 m 6MWD; −6.1 points MLHFQ) in vaccinated compared with unvaccinated patients [<xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B77">77</xref>]. HFrEF was linked to a 1.4-fold higher readmission risk than HFpEF (RR = 1.4) [<xref ref-type="bibr" rid="B31">31</xref>].</p>
<p id="p-31">Guideline-directed medical therapy (GDMT), including angiotensin-converting enzyme inhibitors (ACEI) or angiotensin receptor blockers (ARB), beta-blockers, mineralocorticoid receptor antagonists (MRA), and sodium-glucose cotransporter-2 inhibitors (SGLT2i), was utilized across included cohorts [<xref ref-type="bibr" rid="B10">10</xref>]. Anti-inflammatory and anticoagulant therapies were investigated in subsets with persistent IL-6 elevation (&gt; 100 pg/mL in 28%) [<xref ref-type="bibr" rid="B78">78</xref>]. Telemonitoring was associated with increased arrhythmia detection (32.5% vs. 3.5%; HR = 29.56) [<xref ref-type="bibr" rid="B45">45</xref>]. Multidisciplinary rehabilitation programs improved functional capacity, with 6MWD gains of 25–40 m in pilot studies [<xref ref-type="bibr" rid="B79">79</xref>].</p>
<p id="p-32">Despite optimized management, functional decline (6MWD −68 m; MLHFQ +14.2) and persistent symptoms remained prevalent across studies [<xref ref-type="bibr" rid="B60">60</xref>].</p>
</sec>
</sec>
<sec id="s4">
<title>Discussion</title>
<p id="p-33">This systematic review provides a comprehensive synthesis of the long-term cardiovascular outcomes in patients with pre-existing HF following SARS-CoV-2 infection. Integrating data from studies across diverse populations, these data indicate that COVID-19 infection is associated with a sustained adverse impact on the clinical course, functional capacity, and survival of HF patients. These results are consistent with previous cohort analyses by Xie et al. [<xref ref-type="bibr" rid="B16">16</xref>] and Puntmann et al. [<xref ref-type="bibr" rid="B17">17</xref>], which demonstrated persistent myocardial inflammation and elevated cardiovascular risk for at least one year after infection. Collectively, this evidence is consistent with the possibility that COVID-19 may act as a chronic accelerator of CVD.</p>
<p id="p-34">The pooled analyses revealed a 12-month readmission rate of 28% and a mortality rate of 18%, primarily attributable to HF decompensation. These rates substantially exceed those reported in influenza-matched cohorts [<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B41">41</xref>], which could indicate unique post-viral sequelae associated with SARS-CoV-2. Mechanistically, persistent low-grade inflammation, endothelial injury, and autonomic dysregulation are hypothesized to be key contributors to long-term cardiac dysfunction. Elevated IL-6 and C-reactive protein (CRP) levels, observed in up to 40% of survivors beyond six months [<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B70">70</xref>], provide further evidence of chronic inflammatory activity. Endothelial dysfunction, as quantified by reduced flow-mediated dilation, was particularly pronounced among HFpEF cohorts, supporting Libby and Lüscher’s assertion [<xref ref-type="bibr" rid="B56">56</xref>] that “COVID-19 is, in the end, an endothelial disease”.</p>
<p id="p-35">Comorbidities, including HTN, DM, and CKD, significantly confound the relationship between COVID-19 and HF outcomes. The need to isolate the independent effect of SARS-CoV-2 infection is paramount, given the high prevalence of these classical risk factors in the HF population. Multivariable analyses in the included studies consistently demonstrated a persistently elevated risk after adjustment, suggesting that SARS-CoV-2 may exert direct pathophysiological effects beyond traditional cardiovascular risk factors [<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B45">45</xref>].</p>
<p id="p-36">Nevertheless, residual confounding from unmeasured variables, such as medication adherence or socioeconomic status, cannot be excluded. Considering the increasing confluence of HF risk factors among younger cohorts [<xref ref-type="bibr" rid="B13">13</xref>], future research should focus on the mechanisms exacerbating post-COVID-19 cardiac injury in these increasingly vulnerable groups.</p>
<p id="p-37">These findings support and extend the hypothesis that COVID-19 exacerbates the inherent vulnerability of patients with HF by disrupting cardiopulmonary and metabolic homeostasis. Direct myocardial injury via ACE2-mediated viral entry was documented in a minority of studies using biopsy or CMR [<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>]. However, subclinical myocardial inflammation appears to have substantial clinical consequences. Autonomic dysregulation, evidenced by reduced heart rate variability (SDNN &lt; 50 ms in 61% of patients), may contribute to the high incidence of arrhythmias and exercise intolerance observed post-COVID-19 [<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B73">73</xref>]. Taken together, these multifactorial mechanisms likely interact synergistically, precipitating recurrent HF decompensations even in patients who were previously clinically stable.</p>
<p id="p-38">Functionally, patients with HF recovering from COVID-19 exhibit significant and sustained impairment. Across studies, the mean 68-meter reduction in 6MWD and the 14-point increase in MLHFQ scores reflect clinically meaningful declines in exercise capacity and QoL. These observations are consistent with those of Van den Borst et al. [<xref ref-type="bibr" rid="B54">54</xref>], who reported comparable reductions in functional recovery among post-COVID cohorts without HF, suggesting that pre-existing cardiac dysfunction further exacerbates disability. Vaccination emerged as a major protective factor, reducing all-cause mortality and MACE by approximately 40% [<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B44">44</xref>]. This supports the immunomodulatory hypothesis proposed by Johnson et al. [<xref ref-type="bibr" rid="B76">76</xref>], indicating that vaccine-mediated attenuation of systemic inflammation contributes to improved post-infectious cardiac outcomes.</p>
<p id="p-39">From a clinical perspective, these findings emphasize the importance of structured post-COVID surveillance and multidisciplinary management for individuals with HF. Telemonitoring demonstrated substantial diagnostic value, detecting arrhythmias in 32.5% of patients compared with 3.5% under standard care (HR = 29.56) [<xref ref-type="bibr" rid="B45">45</xref>]. This supports the incorporation of digital health technologies (DHT) into HF care pathways to facilitate early recognition of clinical deterioration. Equally important is the optimization of GDMT, including beta-blockers, RAAS, MRA, and SGLT2i, which remains critical despite post-infection metabolic and renal challenges [<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B76">76</xref>]. Furthermore, individualized cardiac rehabilitation programs demonstrated incremental functional gains of 25–40 m in pilot studies [<xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B80">80</xref>], underscoring their potential to reduce long-term disability in this population.</p>
<p id="p-40">Nevertheless, residual cardiovascular risk persists despite optimal therapy. The complex interplay among metabolic dysregulation, chronic inflammation, and neurohormonal activation may accelerate HF progression even in vaccinated or clinically recovered individuals. Emerging therapeutic strategies, such as IL-6 antagonists or mesenchymal stem cell (MSC) therapy, warrant further investigation for their potential to modulate inflammatory remodeling and promote myocardial repair [<xref ref-type="bibr" rid="B81">81</xref>]. These biologically targeted approaches could redefine the management paradigm for post-COVID CVD.</p>
<sec id="t4-1">
<title>Limitations of the study</title>
<p id="p-41">Although multivariable adjustment was performed in most studies, heterogeneity in covariate selection and lack of individual patient data limited formal assessment of confounding and interaction effects. First, the predominance of observational study designs and the lack of individual patient-level data limit causal inference. Second, substantial statistical heterogeneity (<italic>I</italic><sup>2</sup> = 68–82%) reflects variability in study design, populations, and outcome definitions. Third, most included studies originated from high-income countries, restricting generalizability to LMICs settings where healthcare disparities are more pronounced. Fourth, follow-up durations rarely exceeded 18–24 months, limiting insights into chronic myocardial remodeling. Finally, publication bias may have favored studies with significant results, while underreporting of null findings may have inflated risk estimates. Despite adherence to PRISMA methodology, the absence of a registered protocol (e.g., PROSPERO) represents an additional methodological constraint.</p>
</sec>
<sec id="t4-2">
<title>Future research directions</title>
<p id="p-42">Future studies should employ prospective, multicenter designs with standardized definitions of long-COVID cardiovascular outcomes and stratification by HF phenotype. Incorporating advanced imaging modalities, such as CMR and positron emission tomography, alongside biomarker panels (IL-6, NT-proBNP, high-sensitivity troponin) will enhance mechanistic understanding. Randomized controlled trials evaluating anti-inflammatory and antifibrotic therapies, including SGLT2 inhibitors, IL-6 antagonists, and MSC therapy, are needed to establish optimal management strategies. Furthermore, the development of global registries that include underrepresented populations from LMICs would improve external validity and equity in evidence generation. Finally, the long-term cognitive, psychosocial, and socioeconomic consequences of post-COVID HF should be investigated through multidisciplinary research bridging cardiovascular medicine, behavioral science, and public health.</p>
</sec>
<sec id="t4-3">
<title>Conclusion</title>
<p id="p-43">In summary, COVID-19 is associated with a sustained and multifaceted cardiovascular burden on patients with pre-existing HF. The infection appears to accelerate myocardial injury, systemic inflammation, and endothelial dysfunction, contributing to persistently elevated risks of readmission, mortality, and functional decline. Vaccination markedly reduces these risks and should be incorporated as a key component of post-COVID HF management. Optimized GDMT, early rehabilitation, and digital monitoring represent promising strategies to mitigate adverse outcomes.</p>
</sec>
</sec>
</body>
<back>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term>6MWD</term>
<def>
<p>six-minute walk distance</p>
</def>
</def-item>
<def-item>
<term>ACE2</term>
<def>
<p>angiotensin-converting enzyme 2</p>
</def>
</def-item>
<def-item>
<term>aHR</term>
<def>
<p>adjusted hazard ratio</p>
</def>
</def-item>
<def-item>
<term>CI</term>
<def>
<p>confidence interval</p>
</def>
</def-item>
<def-item>
<term>CKD</term>
<def>
<p>chronic kidney disease</p>
</def>
</def-item>
<def-item>
<term>CMR</term>
<def>
<p>cardiac magnetic resonance</p>
</def>
</def-item>
<def-item>
<term>COVID-19</term>
<def>
<p>coronavirus disease 2019</p>
</def>
</def-item>
<def-item>
<term>cTn</term>
<def>
<p>cardiac troponin</p>
</def>
</def-item>
<def-item>
<term>CVD</term>
<def>
<p>cardiovascular disease</p>
</def>
</def-item>
<def-item>
<term>DM</term>
<def>
<p>diabetes mellitus</p>
</def>
</def-item>
<def-item>
<term>GDMT</term>
<def>
<p>guideline-directed medical therapy</p>
</def>
</def-item>
<def-item>
<term>HF</term>
<def>
<p>heart failure</p>
</def>
</def-item>
<def-item>
<term>HFpEF</term>
<def>
<p>heart failure with preserved ejection fraction</p>
</def>
</def-item>
<def-item>
<term>HFrEF</term>
<def>
<p>heart failure with reduced ejection fraction</p>
</def>
</def-item>
<def-item>
<term>HTN</term>
<def>
<p>hypertension</p>
</def>
</def-item>
<def-item>
<term>IL-6</term>
<def>
<p>interleukin-6</p>
</def>
</def-item>
<def-item>
<term>LMICs</term>
<def>
<p>low- and middle-income countries</p>
</def>
</def-item>
<def-item>
<term>LVEF</term>
<def>
<p>left ventricular ejection fraction</p>
</def>
</def-item>
<def-item>
<term>MACE</term>
<def>
<p>major adverse cardiovascular events</p>
</def>
</def-item>
<def-item>
<term>MLHFQ</term>
<def>
<p>Minnesota Living with Heart Failure Questionnaire</p>
</def>
</def-item>
<def-item>
<term>MRA</term>
<def>
<p>mineralocorticoid receptor antagonists</p>
</def>
</def-item>
<def-item>
<term>MSC</term>
<def>
<p>mesenchymal stem cell</p>
</def>
</def-item>
<def-item>
<term>NT-proBNP</term>
<def>
<p>N-terminal pro-B-type natriuretic peptide</p>
</def>
</def-item>
<def-item>
<term>NYHA</term>
<def>
<p>New York Heart Association</p>
</def>
</def-item>
<def-item>
<term>OR</term>
<def>
<p>odds ratios</p>
</def>
</def-item>
<def-item>
<term>QoL</term>
<def>
<p>quality of life</p>
</def>
</def-item>
<def-item>
<term>RAAS</term>
<def>
<p>renin–angiotensin–aldosterone system</p>
</def>
</def-item>
<def-item>
<term>RR</term>
<def>
<p>relative risk</p>
</def>
</def-item>
<def-item>
<term>SARS-CoV-2</term>
<def>
<p>severe acute respiratory syndrome coronavirus 2</p>
</def>
</def-item>
<def-item>
<term>SDNN</term>
<def>
<p>standard deviation of normal-to-normal interval</p>
</def>
</def-item>
<def-item>
<term>SGLT2i</term>
<def>
<p>sodium-glucose cotransporter-2 inhibitors</p>
</def>
</def-item>
</def-list>
</glossary>
<sec id="s-suppl" sec-type="supplementary-material">
<title>Supplementary materials</title>
<p>The supplementary material for this article is available at: <uri xlink:href="https://www.explorationpub.com/uploads/Article/file/101284_sup_1.pdf">https://www.explorationpub.com/uploads/Article/file/101284_sup_1.pdf</uri>.</p>
<supplementary-material id="SD1" content-type="local-data">
<media xlink:href="101284_sup_1.pdf" mimetype="application" mime-subtype="pdf"></media>
</supplementary-material>
</sec>
<sec id="s6">
<title>Declarations</title>
<sec id="t-6-1">
<title>Author contributions</title>
<p>RP: Conceptualization, Methodology, Investigation, Data curation, Formal analysis, Writing—original draft, Writing—review &amp; editing. JH: Supervision, Validation, Writing—review &amp; editing. A Brar: Supervision, Validation, Writing—review &amp; editing. A Batta: Conceptualization, Methodology, Formal analysis, Writing—original draft, Writing—review &amp; editing. MTS: Investigation, Data curation, Writing—review &amp; editing. BM: Project administration, Validation, Writing—review &amp; editing. All authors read and approved the submitted version.</p>
</sec>
<sec id="t-6-2" sec-type="COI-statement">
<title>Conflicts of interest</title>
<p>The authors declare that they have no conflicts of interest.</p>
</sec>
<sec id="t-6-3">
<title>Ethical approval</title>
<p>Not applicable.</p>
</sec>
<sec id="t-6-4">
<title>Consent to participate</title>
<p>Not applicable.</p>
</sec>
<sec id="t-6-5">
<title>Consent to publication</title>
<p>Not applicable.</p>
</sec>
<sec id="t-6-6" sec-type="data-availability">
<title>Availability of data and materials</title>
<p>This study did not generate new datasets. All data analyzed are from previously published studies, which are cited in the manuscript.</p>
</sec>
<sec id="t-6-7">
<title>Funding</title>
<p>Not applicable.</p>
</sec>
<sec id="t-6-8">
<title>Copyright</title>
<p>© The Author(s) 2026.</p>
</sec>
</sec>
<sec id="s7">
<title>Publisher’s note</title>
<p>Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. All opinions expressed in this article are the personal views of the author(s) and do not represent the stance of the editorial team or the publisher.</p>
</sec>
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