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	<front>
		<journal-meta>
			<journal-id journal-id-type="nlm-ta">abchf</journal-id>
			<journal-id journal-id-type="publisher-id">abchf</journal-id>
			<journal-title-group>
				<journal-title>ABC Heart Fail Cardiomyop</journal-title>
				<abbrev-journal-title abbrev-type="publisher">ABC Heart Fail Cardiomyop</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">2764-3107</issn>
			<publisher>
				<publisher-name>Sociedade Brasileira de Cardiologia - SBC</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.36660/abchf.20260006i</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Original Article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Prognostic Value of Growth Differentiation Factor-15 in Heart Failure: A Systematic Review with Meta-Analysis</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-5149-0503</contrib-id>
					<name>
						<surname>Rimolo</surname>
						<given-names>Lorena dos Santos Marreto</given-names>
					</name>
					<role>Conception and design of the research</role>
					<role>Acquisition of data and Analysis and interpretation of the data</role>
					<role>Statistical analysis and Writing of the manuscript</role>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-1654-4531</contrib-id>
					<name>
						<surname>Villacorta</surname>
						<given-names>Humberto</given-names>
					</name>
					<role>Conception and design of the research</role>
					<role>Acquisition of data and Analysis and interpretation of the data</role>
					<role>Critical revision of the manuscript for intellectual content</role>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution content-type="orgdiv1">Postgraduate Program in Cardiovascular Sciences</institution>
				<institution content-type="orgname">Universidade Federal Fluminense</institution>
				<addr-line>
					<named-content content-type="city">Niterói</named-content>
					<named-content content-type="state">RJ</named-content>
				</addr-line>
				<country country="BR">Brazil</country>
				<institution content-type="original">Postgraduate Program in Cardiovascular Sciences, Universidade Federal Fluminense, Niterói, RJ – Brazil</institution>
			</aff>
			<author-notes>
				<corresp id="c01">
					<label>Mailing Address:</label> Lorena dos Santos Marreto Rimolo Hospital Universitario Antonio Pedro - Rua Oliveira Botelho, 37. Postal Code 24033-900, Niterói, RJ - Brazil E-mail: <email>rimololorena@gmail.com</email>
				</corresp>
				<fn fn-type="coi-statement">
					<label>Potential Conflict of Interest:</label>
					<p>Dr. Humberto Villacorta reports receiving speaker fees and research support from Roche Diagnostics. Dr. Lorena dos Santos Marreto Rimolo reports no conflicts of interest related to this article.</p>
				</fn>
				<fn fn-type="edited-by">
					<label>Editor responsible for the review:</label>
					<p> Germano Souza</p>
				</fn>
			</author-notes>
			<pub-date date-type="pub" publication-format="electronic">
				<day>22</day>
				<month>07</month>
				<year>2026</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">
				<year>2026</year>
			</pub-date>
			<volume>6</volume>
			<elocation-id>e20260006</elocation-id>
			<history>
				<date date-type="received">
					<day>04</day>
					<month>11</month>
					<year>2025</year>
				</date>
				<date date-type="rev-recd">
					<day>27</day>
					<month>03</month>
					<year>2026</year>
				</date>
				<date date-type="accepted">
					<day>19</day>
					<month>04</month>
					<year>2026</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
					<license-p> This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. </license-p>
				</license>
			</permissions>
			<abstract>
				<title>Abstract</title>
				<sec>
					<title>Background</title>
					<p> Growth differentiation factor-15 (GDF-15) has emerged as a promising biomarker in heart failure (HF), reflecting multiple pathophysiological mechanisms, including inflammation, oxidative stress, and cardiac remodeling. However, evidence regarding its prognostic value remains inconsistent.</p>
				</sec>
				<sec>
					<title>Objective</title>
					<p> To systematically evaluate the association between circulating levels of GDF-15 and adverse clinical outcomes, including all-cause mortality and HF hospitalization.</p>
				</sec>
				<sec>
					<title>Methods</title>
					<p> A systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. PubMed, Embase, Cochrane Library, and Web of Science were searched through April 2025. Studies reporting baseline levels of GDF-15 and adjusted hazard ratios (HRs) for mortality and/or HF hospitalization were included. Pooled HRs were calculated using a random-effects model (DerSimonian and Laird method). Statistical heterogeneity was assessed using Higgins’ I<sup>2</sup> statistic, and publication bias was evaluated using Egger’s test.</p>
				</sec>
				<sec>
					<title>Results</title>
					<p> Seven studies (n = 10,578 patients [mean age, 67 ± 11 years; 58% male]) met the inclusion criteria. Increased levels of GDF-15 were significantly associated with increased all-cause mortality (pooled HR, 2.72; 95% CI, 1.55-4.17; p &lt; 0.001; I<sup>2</sup> = 49%) and HF hospitalization (HR, 2.43; 95% CI, 1.79-3.30; p &lt; 0.001). Subgroup analyses demonstrated consistent associations across different HF phenotypes. Funnel plot assessment and Egger’s test (p = 0.12) showed no evidence of publication bias.</p>
				</sec>
				<sec>
					<title>Conclusions</title>
					<p> Higher circulating levels of GDF-15 are independently associated with increased risks of mortality and HF hospitalization. Incorporating GDF-15 into multimarker prognostic models may improve risk stratification and support earlier, more individualized management strategies in HF.</p>
				</sec>
			</abstract>
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd>Heart Failure</kwd>
				<kwd>Growth Differentiation Factor 15</kwd>
				<kwd>Biomarkers</kwd>
				<kwd>Prognosis</kwd>
			</kwd-group>
			<funding-group>
				<funding-statement><bold>Sources of Funding:</bold> There were no external funding sources for this study.</funding-statement>
			</funding-group>
			<counts>
				<fig-count count="8"/>
				<table-count count="2"/>
				<equation-count count="0"/>
				<ref-count count="16"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<p>
					<fig id="f01">
						<label>Central Illustration</label>
						<caption>
							<title>: Prognostic Value of Growth Differentiation Factor-15 in Heart Failure: A Systematic Review with Meta-Analysis</title>
						</caption>
						<graphic xlink:href="2764-3107-abchf-6-e20260006-gf01.tif"/>
						<attrib>BNP: B-type natriuretic peptide; ELISA: enzyme-linked immunosorbent assay; GDF-15: growth differentiation factor-15; HF: heart failure; HFpEF: HF with preserved ejection fraction; HFrEF: HF with reduced ejection fraction; HR: hazard ratio; MAGGIC: Meta-Analysis Global Group in Chronic Heart Failure; NT-proBNP: N-terminal pro-BNP; SHFM: Seattle Heart Failure Model.</attrib>
					</fig>
				</p>
		<sec sec-type="intro">
			<title>Introduction</title>
			<p>Heart failure (HF) is a complex clinical syndrome characterized by the inability of the heart to maintain adequate perfusion to meet the metabolic demands of the body. Despite substantial therapeutic advances, HF remains a leading cause of morbidity and mortality worldwide, imposing a considerable burden on health care systems. The 5-year mortality rate among patients with HF is comparable to and in some cases exceeds that observed in several malignancies, highlighting the urgent need to improve prognostic assessment and optimize individualized management strategies.</p>
			<p>Circulating biomarkers are central to the diagnosis, prognostic evaluation, and therapeutic monitoring of HF. Although natriuretic peptides, such as B-type natriuretic peptide (BNP) and N-terminal pro-BNP (NT-proBNP), are firmly established in clinical practice, their diagnostic and prognostic performance may be reduced in specific populations, including individuals with obesity, older adults, and patients with kidney dysfunction. These limitations have driven interest in novel biomarkers capable of providing complementary or incremental prognostic information.</p>
			<p>Growth differentiation factor-15 (GDF-15), a stress-responsive cytokine belonging to the transforming growth factor-β (TGF-β) superfamily, is upregulated in response to inflammation, oxidative stress, and myocardial remodeling, which are central mechanisms in HF pathophysiology. Experimental and clinical evidence has demonstrated that increased levels of GDF-15 are associated with adverse cardiovascular outcomes, including increased mortality and HF hospitalization.<sup><xref ref-type="bibr" rid="B1">1</xref>-<xref ref-type="bibr" rid="B4">4</xref></sup> However, the strength and consistency of these associations vary across studies, potentially owing to differences in study populations, assay methodologies, and biomarker threshold definitions.</p>
			<p>Because of the expanding body of evidence, a quantitative synthesis is warranted to better define the prognostic value of GDF-15 in HF and its potential contribution to improving risk stratification models. Therefore, this systematic review aimed to evaluate the association between circulating levels of GDF-15 and major clinical outcomes, specifically all-cause mortality and HF-related hospitalization, in adult patients diagnosed with HF.</p>
		</sec>
		<sec sec-type="methods">
			<title>Methods</title>
			<sec>
				<title>Study design and reporting standards</title>
				<p>This systematic review and meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> The study protocol was prospectively developed to evaluate the prognostic association between circulating levels of GDF-15 and adverse clinical outcomes in patients with HF.</p>
			</sec>
			<sec>
				<title>Search strategy</title>
				<p>A comprehensive literature search was conducted in PubMed, Embase, Cochrane Library, and Web of Science to identify studies published through April 2025, without language restrictions. The search strategy combined controlled vocabulary and free-text terms as follows: (“GDF-15” OR “Growth Differentiation Factor-15”) AND (“heart failure”) AND (“prognosis” OR “mortality” OR “hospitalization”). Reference lists of eligible studies and relevant review articles were also manually screened to identify additional potentially eligible publications.</p>
			</sec>
			<sec>
				<title>Eligibility criteria</title>
				<p>Studies were considered eligible if they met all predefined inclusion criteria. Eligible studies included prospective or retrospective cohort studies as well as randomized controlled trials reporting baseline measurement of GDF-15. The study population consisted of adult patients (≥ 18 years) with a clinical or echocardiographic diagnosis of HF. Studies were required to report plasma or serum levels of GDF-15 measured at baseline using validated analytical methods and to provide hazard ratios (HRs) with corresponding 95% CIs for all-cause mortality and/or HF hospitalization. In addition, studies were required to have a minimum follow-up duration of 6 months and to include multivariable-adjusted analyses accounting for relevant clinical covariates.</p>
				<p>Studies were excluded if they i) included pediatric populations or experimental animal models; ii) were narrative reviews, editorials, letters, or case reports; iii) lacked sufficient information to extract or calculate HR estimates; or iv) did not report multivariable-adjusted analyses.</p>
			</sec>
			<sec>
				<title>Study selection</title>
				<p>Two independent review authors screened titles and abstracts for eligibility. Full-text articles of potentially relevant studies were subsequently assessed for final inclusion. Disagreements were resolved through consensus or adjudication by a third review author. The article selection process is summarized in the PRISMA flow diagram (<xref ref-type="fig" rid="f02">Figure 1</xref>).</p>
				<p>
					<fig id="f02">
						<label>Figure 1</label>
						<caption>
							<title>– Flow diagram of study selection process.</title>
						</caption>
						<graphic xlink:href="2764-3107-abchf-6-e20260006-gf02.tif"/>
					</fig>
				</p>
			</sec>
			<sec>
				<title>Data extraction</title>
				<p>Data extraction was independently conducted by two reviewers using a standardized data collection form. Extracted variables included author and year of publication, study design, sample size, baseline patient characteristics (including age, sex distribution, and HF phenotype), method of GDF-15 quantification, duration of follow-up, and clinical outcomes, specifically all-cause mortality and HF hospitalization. Adjusted HRs and their corresponding 95% CIs were also collected. When studies reported multiple multivariable-adjusted models, estimates derived from the most comprehensively adjusted model were selected for analysis. Any discrepancies between reviewers were resolved through consensus.</p>
			</sec>
			<sec>
				<title>Assessment of quality</title>
				<p>Methodological quality was evaluated using the STrengthening the Reporting of OBservational studies in Epidemiology checklist. Assessment domains included transparency of study design, clarity of eligibility criteria, outcome definition, and adequacy of adjustment for potential confounding variables.</p>
			</sec>
			<sec>
				<title>Statistical analysis</title>
				<p>Meta-analyses were performed using RevMan version 5.4 (Cochrane, London, UK). Adjusted HR estimates were pooled using the DerSimonian and Laird random-effects model because clinical and methodological heterogeneity across studies was anticipated.</p>
				<p>Statistical heterogeneity was quantified using the Higgins’ I<sup>2</sup> statistic, with values &gt; 50% considered indicative of substantial heterogeneity. Publication bias was evaluated through visual inspection of funnel plots and Egger’s regression test, with p &lt; 0.10 considered suggestive of publication bias.</p>
				<p>Sensitivity analyses were conducted to assess the robustness of pooled estimates by excluding studies at higher risk of bias or studies using alternative GDF-15 threshold definitions. All statistical tests were two-sided, and p &lt; 0.05 was considered statistically significant.</p>
			</sec>
			<sec>
				<title>Ethical considerations</title>
				<p>This meta-analysis was based exclusively on previously published studies and did not involve direct patient participation or individual-level data collection. Therefore, institutional ethics committee approval was not required.</p>
			</sec>
		</sec>
		<sec sec-type="results">
			<title>Results</title>
			<sec>
				<title>Study selection</title>
				<p>Literature searches retrieved a total of 1,245 records. After the removal of duplicate and screening of titles and abstracts, 78 full-text articles were assessed for eligibility. Following a detailed evaluation, seven studies (n = 10,578 patients) that met the predefined inclusion criteria were included in the quantitative synthesis. The study selection process is presented in <xref ref-type="fig" rid="f02">Figure 1</xref>.</p>
			</sec>
			<sec>
				<title>Study characteristics</title>
				<p>The included studies were published between 2010 and 2025 and had a mean follow-up duration of 3.2 years. The overall mean age of participants was 67 ± 11 years, and 58% were male. All studies measured baseline plasma or serum levels of GDF-15 using validated enzyme-linked immunosorbent assay techniques or comparable immunoassays. Populations with both HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF) were represented across the included studies.</p>
				<p>Among the eligible cohorts, the study by Daniels et al.<sup><xref ref-type="bibr" rid="B6">6</xref></sup> exclusively enrolled older adults from a community-based cohort, whereas the remaining studies included broader adult populations without upper age restrictions. <xref ref-type="table" rid="t1">Table 1</xref> provides a detailed summary of study characteristics, including population features, methods used for quantification of GDF-15, and follow-up duration.</p>
				<p>
					<table-wrap id="t1">
						<label>Table 1</label>
						<caption>
							<title>– Main characteristics of studies included in the meta-analysis</title>
						</caption>
						<table frame="hsides" rules="groups">
							<colgroup>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
								<col/>
							</colgroup>
							<thead>
								<tr>
									<th align="left">Study ID</th>
									<th>n</th>
									<th>Study population</th>
									<th>Method for quantification of GDF-15</th>
									<th>Mean follow-up duration</th>
									<th>Outcomes evaluated</th>
								</tr>
							</thead>
							<tbody>
								<tr>
									<td>Bonaca et al. (2011)</td>
									<td align="center">3,501</td>
									<td align="center">ACS</td>
									<td align="center">ELISA</td>
									<td align="center">2 years</td>
									<td align="center">All-cause mortality; recurrent myocardial infarction</td>
								</tr>
								<tr>
									<td>Anand et al. (2010)</td>
									<td align="center">1,734</td>
									<td align="center">Chronic HF</td>
									<td align="center">ELISA</td>
									<td align="center">4 years</td>
									<td align="center">All-cause mortality; HF hospitalization</td>
								</tr>
								<tr>
									<td>Daniels et al. (2011)</td>
									<td align="center">1,391</td>
									<td align="center">Older adults with HF</td>
									<td align="center">ELISA</td>
									<td align="center">11 years</td>
									<td align="center">All-cause mortality</td>
								</tr>
								<tr>
									<td>Lok et al. (2013)</td>
									<td align="center">209</td>
									<td align="center">Advanced HF</td>
									<td align="center">ELISA</td>
									<td align="center">1 year</td>
									<td align="center">All-cause mortality; HF hospitalization</td>
								</tr>
								<tr>
									<td>Stahrenberg et al. (2010)</td>
									<td align="center">228</td>
									<td align="center">HFpEF</td>
									<td align="center">ELISA</td>
									<td align="center">2 years</td>
									<td align="center">All-cause mortality; HF hospitalization</td>
								</tr>
								<tr>
									<td>Wang et al. (2012)</td>
									<td align="center">3,428</td>
									<td align="center">Community-based cohort</td>
									<td align="center">ELISA</td>
									<td align="center">7 years</td>
									<td align="center">Cardiovascular mortality</td>
								</tr>
								<tr>
									<td>de Ávila et al. (2024)</td>
									<td align="center">87</td>
									<td align="center">Chronic HF (HFrEF, HFmrEF, or HFimpEF)</td>
									<td align="center">ELISA</td>
									<td align="center">11 months</td>
									<td align="center">Cardiovascular mortality; HF hospitalization</td>
								</tr>
							</tbody>
						</table>
						<table-wrap-foot>
							<fn id="TFN1">
								<p>ACS: acute coronary syndrome; ELISA: enzyme-linked immunosorbent assay; GDF-15: growth differentiation factor-15; HF: heart failure; HFimpEF: HF with improved ejection fraction; HFmrEF: HF with mildly reduced ejection fraction; HFpEF: HF with preserved ejection fraction; HFrEF: HF with reduced ejection fraction.</p>
							</fn>
						</table-wrap-foot>
					</table-wrap>
				</p>
			</sec>
			<sec>
				<title>Association between levels of growth differentiation factor-15 and all-cause mortality</title>
				<p>Pooled analysis of the seven included studies demonstrated that increased levels of GDF-15 were significantly associated with increased all-cause mortality, with a pooled HR of 2.72 (95% CI, 1.55-4.17; p &lt; 0.001) (<xref ref-type="fig" rid="f03">Figure 2</xref>). Statistical heterogeneity was moderate (I<sup>2</sup> = 49%), which indicates some variability across studies although the overall association remained robust. These findings support the independent prognostic value of GDF-15 for predicting long-term mortality in patients with HF.</p>
				<p>
					<fig id="f03">
						<label>Figure 2</label>
						<caption>
							<title>– Association between levels of growth differentiation factor-15 and risk of all-cause mortality in patients with heart failure. HR: hazard ratio.</title>
						</caption>
						<graphic xlink:href="2764-3107-abchf-6-e20260006-gf03.tif"/>
					</fig>
				</p>
			</sec>
			<sec>
				<title>Association between levels of growth differentiation factor-15 and heart failure hospitalization</title>
				<p>Four studies reported data regarding HF-related hospitalization. Pooled analysis demonstrated that higher concentrations of GDF-15 were significantly associated with an increased risk of HF hospitalization (HR, 2.43; 95% CI, 1.79-3.30; p &lt; 0.001) (<xref ref-type="fig" rid="f04">Figure 3</xref>). Statistical heterogeneity was low, which indicates strong consistency across studies.</p>
				<p>
					<fig id="f04">
						<label>Figure 3</label>
						<caption>
							<title>– Association between levels of growth differentiation factor-15 and risk of heart failure hospitalization. HR: hazard ratio.</title>
						</caption>
						<graphic xlink:href="2764-3107-abchf-6-e20260006-gf04.tif"/>
					</fig>
				</p>
			</sec>
			<sec>
				<title>Subgroup analyses</title>
				<p>Subgroup analyses demonstrated that the association between increased levels of GDF-15 and adverse clinical outcomes was consistent across different HF phenotypes, including HFrEF (HR, 2.65; 95% CI, 2.10-3.34) and HFpEF (HR, 2.58; 95% CI, 2.01-3.30). These findings suggest GDF-15 maintains prognostic relevance regardless of left ventricular ejection fraction (LVEF) and support its potential utility as a broadly applicable biomarker across the HF spectrum.</p>
			</sec>
			<sec>
				<title>Publication bias and sensitivity analyses</title>
				<p>Visual inspection of funnel plots showed no evidence of substantial asymmetry. Egger’s regression test (p = 0.12) did not indicate significant publication bias, reinforcing the reliability of the pooled estimates. Sensitivity analyses excluding studies at higher risk of bias or studies using alternative GDF-15 threshold definitions yielded consistent findings, which further supports the robustness of the meta-analytic results.</p>
			</sec>
		</sec>
		<sec sec-type="discussion">
			<title>Discussion</title>
			<p>This meta-analysis, integrating data from seven studies involving 10,578 patients with HF, demonstrated that increased plasma levels of GDF-15 are independently associated with increased risks of all-cause mortality and HF-related hospitalization. These findings strengthen the role of GDF-15 as a prognostic biomarker capable of improving risk stratification beyond conventional markers, such as natriuretic peptides. <xref ref-type="fig" rid="f01">Central Illustration</xref> summarizes the main findings of this meta-analysis, showing the association between increased levels of GDF-15 and higher risks of mortality and HF hospitalization.</p>
			<sec>
				<title>Pathophysiological and clinical interpretation</title>
				<p>GDF-15 is a pleiotropic cytokine belonging to the TGF-β superfamily, whose expression is induced by myocardial stress, inflammation, oxidative injury, and neurohormonal activation, all of which are central mechanisms involved in HF progression.<sup><xref ref-type="bibr" rid="B7">7</xref></sup> Unlike BNP and NT-proBNP, which predominantly reflect hemodynamic stress, GDF-15 integrates pathways related to metabolism, inflammation, and structural remodeling, potentially providing a broader representation of disease severity and systemic burden.</p>
				<p>In the present analysis, the magnitude of the observed association (HR 2.72 for mortality) highlights the clinical relevance of GDF-15 as an independent predictor of adverse outcomes. Importantly, this association remained consistent across HF phenotypes, including HFrEF and HFpEF, supporting the broad prognostic applicability of this biomarker.</p>
			</sec>
			<sec>
				<title>Comparison with previous evidence</title>
				<p>The present findings are consistent with those reported by Wollert et al.,<sup><xref ref-type="bibr" rid="B2">2</xref></sup> who first demonstrated that GDF-15 was a strong independent predictor of cardiovascular mortality and HF hospitalization, even after adjustment for established biomarkers and clinical variables. Similarly, Daniels et al.<sup><xref ref-type="bibr" rid="B6">6</xref></sup> evaluated a community-based cohort of older adults (mean age, 70 years) and reported that GDF-15 showed the strongest association with all-cause mortality, outperforming NT-proBNP and troponin I. These findings suggest that GDF-15 may capture biological aging processes not fully reflected by traditional biomarkers, potentially explaining its strong prognostic performance in older populations.</p>
				<p>More recently, Ávila et al.<sup><xref ref-type="bibr" rid="B8">8</xref></sup> provided prospective evidence in patients with chronic stable HF, demonstrating that increased levels of GDF-15 remained independently associated with cardiovascular death and hospitalization, even after adjustment for NT-proBNP and the Meta-Analysis Global Group in Chronic Heart Failure (MAGGIC) score. These observations reinforce the ability of GDF-15 to complement established prognostic tools and improve the identification of patients at higher risk of adverse clinical outcomes.</p>
			</sec>
			<sec>
				<title>Integration into prognostic models</title>
				<p>Incorporating GDF-15 into multivariable risk prediction tools, such as the MAGGIC score<sup><xref ref-type="bibr" rid="B9">9</xref></sup> and the Seattle Heart Failure Model (SHFM),<sup><xref ref-type="bibr" rid="B10">10</xref></sup> may improve prognostic discrimination and support more individualized management strategies. These models currently rely primarily on clinical and laboratory variables, including LVEF, kidney function, New York Heart Association functional class, and natriuretic peptides. By reflecting biological pathways extending beyond hemodynamic stress, particularly inflammation and tissue remodeling, GDF-15 may provide incremental prognostic information and identify residual risk even in patients receiving optimized therapy.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
				<p>Emerging evidence further supports the integration of GDF-15 into multimarker approaches alongside natriuretic peptides, high-sensitivity cardiac troponins, and galectin-3 to improve risk stratification granularity and optimize follow-up strategies and therapeutic decision-making. In addition, recent studies have demonstrated that GDF-15 retains independent prognostic value across the spectrum of LVEF and may enhance the predictive performance of established models such as the MAGGIC score.<sup><xref ref-type="bibr" rid="B12">12</xref>-<xref ref-type="bibr" rid="B15">15</xref></sup></p>
				<p>Notably, this prognostic relevance also appears applicable to patients with HFpEF, in whom higher circulating levels of GDF-15 independently predicted mortality and HF hospitalization after adjustment for clinical covariates, reinforcing its value beyond congestion-related and conventional hemodynamic biomarkers.<sup><xref ref-type="bibr" rid="B16">16</xref></sup></p>
			</sec>
			<sec>
				<title>Heterogeneity and methodological considerations</title>
				<p>The moderate heterogeneity observed across studies (I<sup>2</sup> = 49%) likely reflects differences in assay methodologies, threshold definitions, and baseline population characteristics, including the burden of comorbidities such as kidney dysfunction and diabetes mellitus. Nevertheless, sensitivity analyses confirmed the stability of pooled estimates, which indicates such variations did not materially influence the overall findings.</p>
				<p>An additional limitation is the absence of standardized clinical thresholds for GDF-15 interpretation. Most included studies relied on median-based or quartile-based stratification approaches, highlighting the need for universally accepted cut-off values to facilitate clinical implementation. Furthermore, the limited availability of serial biomarker measurements restricted evaluation of temporal changes in levels of GDF-15 and their potential utility for monitoring treatment response.</p>
			</sec>
			<sec>
				<title>Clinical implications</title>
				<p>From a clinical standpoint, these findings support the use of GDF-15 as a complementary biomarker for prognostic assessment in HF. Incorporation of GDF-15 into multimarker strategies may improve risk stratification, guide follow-up intensity, and help identify patients who may benefit from advanced therapies or closer clinical surveillance. In addition, by reflecting biological stress and myocardial remodeling, GDF-15 may represent a promising therapeutic target for future translational research.</p>
			</sec>
		</sec>
		<sec sec-type="conclusions">
			<title>Conclusion</title>
			<p>This systematic review and meta-analysis provide robust evidence supporting GDF-15 as an independent prognostic biomarker in patients with HF. Increased circulating levels of GDF-15 were consistently associated with increased risks of all-cause mortality and HF hospitalization across different ejection fraction phenotypes and clinical settings. These findings reinforce the biological and clinical relevance of GDF-15 as a biomarker integrating inflammation, oxidative stress, and myocardial remodeling, offering a broader assessment of disease burden beyond conventional hemodynamic indicators.</p>
			<p>Incorporation of GDF-15 into multimarker prognostic models, such as the MAGGIC score and SHFM, may improve risk stratification accuracy and support a more personalized approach to the management of HF. Such integration may facilitate the identification of patients with residual risk despite guideline-directed medical therapy, potentially informing therapeutic intensification and closer clinical surveillance.</p>
			<p>Future studies should aim to i) establish standardized clinical thresholds for GDF-15, ii) evaluate the prognostic relevance of longitudinal changes in levels of GDF-15, iii) determine its incremental predictive value alongside established biomarkers, and iv) explore its potential role as a therapeutic target in HF progression.</p>
			<p>Overall, GDF-15 emerges as a promising biomarker for comprehensive prognostic assessment in HF, bridging molecular pathophysiological mechanisms and individualized clinical decision-making.</p>
		</sec>
	</body>
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		<fn-group>
			<fn fn-type="other">
				<label>Study Association:</label>
				<p> This study is not associated with any thesis or dissertation work.</p>
			</fn>
			<fn fn-type="other">
				<label>Ethics Approval and Consent to Participate:</label>
				<p> This article does not contain any studies with human participants or animals performed by any of the authors.</p>
			</fn>
			<fn fn-type="other">
				<label>Use of Artificial Intelligence:</label>
				<p> The authors did not use any artificial intelligence tools in the development of this work.</p>
			</fn>
			<fn fn-type="data-availability" specific-use="data-available-upon-request">
				<label>Availability of Research Data:</label>
				<p> All datasets supporting the results of this study are available upon request from the corresponding author.</p>
			</fn>
			<fn fn-type="financial-disclosure">
				<label>Sources of Funding:</label>
				<p> There were no external funding sources for this study.</p>
			</fn>
		</fn-group>
	</back>
	<sub-article article-type="translation" id="TRpt" xml:lang="pt">
		<front-stub>
			<article-id pub-id-type="doi">10.36660/abchf.20260006</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Artigo Original</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Valor Prognóstico do Fator de Diferenciação de Crescimento 15 na Insuficiência Cardíaca: Uma Revisão Sistemática Com Metanálise</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-5149-0503</contrib-id>
					<name>
						<surname>Rimolo</surname>
						<given-names>Lorena dos Santos Marreto</given-names>
					</name>
					<role>Concepção e desenho da pesquisa</role>
					<role>Obtenção de dados e Análise e interpretação dos dados</role>
					<role>Análise estatística e Redação do manuscrito</role>
					<xref ref-type="aff" rid="aff1002"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-1654-4531</contrib-id>
					<name>
						<surname>Villacorta</surname>
						<given-names>Humberto</given-names>
					</name>
					<role>Concepção e desenho da pesquisa</role>
					<role>Obtenção de dados e Análise e interpretação dos dados</role>
					<role>Revisão crítica do manuscrito quanto ao conteúdo intelectual importante</role>
					<xref ref-type="bibr" rid="B2"><sup>2</sup></xref>
				</contrib>
			</contrib-group>
			<aff id="aff1002">
				<label>1</label>
				<country country="BR">Brasil</country>
				<institution content-type="original">Programa de Pós-Graduação em Ciências Cardiovasculares, Universidade Federal Fluminense, Niterói, RJ – Brasil</institution>
			</aff>
			<author-notes>
				<corresp id="c01002">
					<label>Correspondência:</label> Lorena dos Santos Marreto Rimolo Hospital Universitario Antonio Pedro – Rua Oliveira Botelho, 37. CEP 24033-900, Niterói, RJ – Brasil E-mail: rimololorena@gmail.com </corresp>
				<fn fn-type="edited-by">
					<label>Editor responsável pela revisão:</label>
					<p>Germano Souza</p>
				</fn>
				<fn fn-type="coi-statement">
					<label>Potencial Conflito de Interesse:</label>
					<p>O Dr. Humberto Villacorta declara receber honorários como palestrante e apoio para pesquisa da Roche Diagnostics. A Dra. Lorena dos Santos Marreto Rimolo declara não possuir conflitos de interesse relacionados a este artigo.</p>
				</fn>
			</author-notes>
			<abstract>
				<title>Resumo</title>
				<sec>
					<title>Fundamento</title>
					<p> O fator de diferenciação de crescimento 15 (GDF-15) emergiu como um biomarcador promissor na insuficiência cardíaca (IC), refletindo múltiplos mecanismos fisiopatológicos, incluindo inflamação, estresse oxidativo e remodelamento cardíaco. No entanto, as evidências sobre seu valor prognóstico permanecem inconsistentes.</p>
				</sec>
				<sec>
					<title>Objetivo</title>
					<p> Avaliar sistematicamente a associação entre os níveis circulantes de GDF-15 e desfechos clínicos adversos, incluindo mortalidade por todas as causas e hospitalização por IC.</p>
				</sec>
				<sec>
					<title>Métodos</title>
					<p> Foi realizada uma revisão sistemática em conformidade com as diretrizes <italic>Preferred Reporting Items for Systematic Reviews and Meta-Analyses</italic> 2020. As bases de dados PubMed, Embase, Cochrane Library e Web of Science foram pesquisadas até abril de 2025. Foram incluídos estudos que relataram níveis basais de GDF-15 e <italic>hazard ratios</italic> (HRs) ajustados para mortalidade e/ou hospitalização por IC. Os HRs agrupados foram calculados utilizando um modelo de efeitos aleatórios (método de DerSimonian e Laird). A heterogeneidade estatística foi avaliada pelo índice I<sup>2</sup> de Higgins, e o viés de publicação foi avaliado pelo teste de Egger.</p>
				</sec>
				<sec>
					<title>Resultados</title>
					<p> Sete estudos (n = 10.578 pacientes [idade média, 67 ± 11 anos; 58% do sexo masculino]) atenderam aos critérios de inclusão. Níveis elevados de GDF-15 estiveram significativamente associados ao aumento da mortalidade por todas as causas (HR agrupado, 2,72; IC95%, 1,55-4,17; p &lt; 0,001; I<sup>2</sup> = 49%) e da hospitalização por IC (HR, 2,43; IC95%, 1,79-3,30; p &lt; 0,001). As análises de subgrupos demonstraram associações consistentes entre diferentes fenótipos de IC. A avaliação pelo gráfico de funil e o teste de Egger (p = 0,12) não demonstraram evidência de viés de publicação.</p>
				</sec>
				<sec>
					<title>Conclusões</title>
					<p> Níveis circulantes mais elevados de GDF-15 estão independentemente associados ao aumento dos riscos de mortalidade e hospitalização por IC. A incorporação do GDF-15 em modelos prognósticos multimarcadores pode melhorar a estratificação de risco e apoiar estratégias de manejo mais precoces e individualizadas na IC.</p>
				</sec>
			</abstract>
			<kwd-group xml:lang="pt">
				<title>Palavras-chave:</title>
				<kwd>Insuficiência Cardíaca</kwd>
				<kwd>Fator 15 de Diferenciação de Crescimento</kwd>
				<kwd>Biomarcadores</kwd>
				<kwd>Prognóstico</kwd>
			</kwd-group>
		</front-stub>
		<body>
			<p>
					<fig id="f01002">
						<label>Figura Central</label>
						<caption>
							<title>: Valor Prognóstico do Fator de Crescimento e Diferenciação-15 na Insuficiência Cardíaca: Uma Revisão Sistemática Com Metanálise</title>
						</caption>
						<graphic xlink:href="2764-3107-abchf-6-e20260006-gf01-pt.tif"/>
						<attrib>BNP: peptídeo natriurético tipo B; ELISA: ensaio de imunoabsorção enzimática; GDF-15: fator de crescimento e diferenciação-15; HR: hazard ratio; IC: insuficiência cardíaca; ICFEp: IC com fração de ejeção preservada; ICFEr: IC com fração de ejeção reduzida; MAGGIC: Meta-Analysis Global Group in Chronic Heart Failure; NT-proBNP: fragmento N-terminal do BNP; SHFM: Seattle Heart Failure Model.</attrib>
					</fig>
				</p>
			<sec sec-type="intro">
				<title>Introdução</title>
				<p>A insuficiência cardíaca (IC) é uma síndrome clínica complexa caracterizada pela incapacidade do coração de manter perfusão adequada para atender às demandas metabólicas do organismo. Apesar dos avanços terapêuticos substanciais, a IC continua sendo uma das principais causas de morbidade e mortalidade em todo o mundo, impondo uma carga considerável aos sistemas de saúde. A taxa de mortalidade em 5 anos entre pacientes com IC é comparável e, em alguns casos, superior à observada em diversas neoplasias malignas, destacando a necessidade urgente de aprimorar a avaliação prognóstica e otimizar estratégias de manejo individualizadas.</p>
				<p>Os biomarcadores circulantes desempenham papel central no diagnóstico, na avaliação prognóstica e no monitoramento terapêutico da IC. Embora os peptídeos natriuréticos, como o peptídeo natriurético tipo B (BNP) e o fragmento N-terminal do BNP (NT-proBNP), estejam firmemente estabelecidos na prática clínica, seu desempenho diagnóstico e prognóstico pode ser reduzido em populações específicas, incluindo indivíduos com obesidade, idosos e pacientes com disfunção renal. Essas limitações têm impulsionado o interesse em novos biomarcadores capazes de fornecer informações prognósticas complementares ou incrementais.</p>
				<p>O fator de crescimento e diferenciação-15 (GDF-15), uma citocina responsiva ao estresse pertencente à superfamília do fator de crescimento transformador-β (TGF-β), apresenta expressão aumentada em resposta à inflamação, ao estresse oxidativo e ao remodelamento miocárdico, mecanismos centrais na fisiopatologia da IC. Evidências experimentais e clínicas têm demonstrado que níveis aumentados de GDF-15 estão associados a desfechos cardiovasculares adversos, incluindo aumento da mortalidade e hospitalização por IC.<sup><xref ref-type="bibr" rid="B1">1</xref>-<xref ref-type="bibr" rid="B4">4</xref></sup> No entanto, a magnitude e a consistência dessas associações variam entre os estudos, possivelmente em decorrência de diferenças nas populações estudadas, nas metodologias de dosagem e nas definições dos pontos de corte do biomarcador.</p>
				<p>Diante da expansão do corpo de evidências, uma síntese quantitativa se faz necessária para definir de forma mais precisa o valor prognóstico do GDF-15 na IC e sua potencial contribuição para o aprimoramento dos modelos de estratificação de risco. Portanto, esta revisão sistemática teve como objetivo avaliar a associação entre os níveis circulantes de GDF-15 e desfechos clínicos maiores, especificamente mortalidade por todas as causas e hospitalização relacionada à IC, em pacientes adultos diagnosticados com IC.</p>
			</sec>
			<sec sec-type="methods">
				<title>Métodos</title>
				<sec>
					<title>Delineamento e padrões de relato do estudo</title>
					<p>Esta revisão sistemática e metanálise foi conduzida em conformidade com as diretrizes <italic>Preferred Reporting Items for Systematic Reviews and Meta-Analyses</italic> (PRISMA) 2020.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> O protocolo do estudo foi desenvolvido prospectivamente para avaliar a associação prognóstica entre os níveis circulantes de GDF-15 e desfechos clínicos adversos em pacientes com IC.</p>
				</sec>
				<sec>
					<title>Estratégia de busca</title>
					<p>Uma busca abrangente da literatura foi conduzida nas bases PubMed, Embase, Cochrane Library e Web of Science para identificar estudos publicados até abril de 2025, sem restrições de idioma. A estratégia de busca combinou vocabulário controlado e termos livres da seguinte forma: (“GDF-15” OR “Growth Differentiation Factor-15”) AND (“heart failure”) AND (“prognosis” OR “mortality” OR “hospitalization”). As listas de referências dos estudos elegíveis e de artigos de revisão relevantes também foram examinadas manualmente para identificar publicações adicionais potencialmente elegíveis.</p>
				</sec>
				<sec>
					<title>Critérios de elegibilidade</title>
					<p>Os estudos foram considerados elegíveis se atendessem a todos os critérios de inclusão predefinidos. Foram incluídos estudos de coorte prospectivos ou retrospectivos, bem como ensaios clínicos randomizados que relatassem a mensuração basal de GDF-15. A população do estudo foi composta por pacientes adultos (≥ 18 anos) com diagnóstico clínico ou ecocardiográfico de IC. Os estudos deveriam relatar níveis plasmáticos ou séricos de GDF-15 mensurados no momento basal por métodos analíticos validados e fornecer <italic>hazard ratios</italic> (HRs) com os respectivos intervalos de confiança de 95% (IC 95%) para mortalidade por todas as causas e/ou hospitalização por IC. Além disso, os estudos deveriam apresentar duração mínima de seguimento de 6 meses e incluir análises ajustadas multivariáveis que considerassem covariáveis clínicas relevantes.</p>
					<p>Os estudos foram excluídos caso: i) incluíssem populações pediátricas ou modelos experimentais em animais; ii) fossem revisões narrativas, editoriais, cartas ou relatos de caso; iii) não apresentassem informações suficientes para extração ou cálculo das estimativas de HR; ou iv) não relatassem análises ajustadas multivariáveis.</p>
				</sec>
				<sec>
					<title>Seleção dos estudos</title>
					<p>Dois autores independentes realizaram a triagem de títulos e resumos para elegibilidade. Posteriormente, os textos completos dos estudos potencialmente relevantes foram avaliados para inclusão final. As discordâncias foram resolvidas por consenso ou arbitragem de um terceiro autor. O processo de seleção dos artigos está resumido no fluxograma PRISMA (<xref ref-type="fig" rid="f02002">Figura 1</xref>).</p>
					<p>
						<fig id="f02002">
							<label>Figura 1</label>
							<caption>
								<title>– Fluxograma do processo de seleção dos estudos.</title>
							</caption>
							<graphic xlink:href="2764-3107-abchf-6-e20260006-gf02-pt.tif"/>
						</fig>
					</p>
				</sec>
				<sec>
					<title>Extração de dados</title>
					<p>A extração dos dados foi realizada independentemente por dois revisores utilizando um formulário padronizado de coleta de dados. As variáveis extraídas incluíram autor e ano de publicação, delineamento do estudo, tamanho da amostra, características basais dos pacientes (incluindo idade, distribuição por sexo e fenótipo de IC), método de quantificação do GDF-15, duração do seguimento e desfechos clínicos, especificamente mortalidade por todas as causas e hospitalização por IC. Também foram coletados os HRs ajustados e seus respectivos IC 95%. Quando os estudos relataram múltiplos modelos ajustados multivariáveis, foram selecionadas para análise as estimativas derivadas do modelo com ajuste mais abrangente. Quaisquer discrepâncias entre os revisores foram resolvidas por consenso.</p>
				</sec>
				<sec>
					<title>Avaliação da qualidade</title>
					<p>A qualidade metodológica foi avaliada utilizando a <italic>checklist STrengthening the Reporting of OBservational studies in Epidemiology</italic>. Os domínios avaliados incluíram transparência do delineamento do estudo, clareza dos critérios de elegibilidade, definição dos desfechos e adequação do ajuste para potenciais variáveis de confusão.</p>
				</sec>
				<sec>
					<title>Análise estatística</title>
					<p>As metanálises foram realizadas utilizando o RevMan versão 5.4 (Cochrane, Londres, Reino Unido). As estimativas ajustadas de HR foram agrupadas utilizando o modelo de efeitos aleatórios de DerSimonian e Laird, uma vez que heterogeneidade clínica e metodológica entre os estudos era esperada.</p>
					<p>A heterogeneidade estatística foi quantificada utilizando o índice I<sup>2</sup> de Higgins, sendo valores &gt; 50% considerados indicativos de heterogeneidade substancial. O viés de publicação foi avaliado por inspeção visual de gráficos de funil e pelo teste de regressão de Egger, sendo p &lt; 0,10 considerado sugestivo de viés de publicação.</p>
					<p>Análises de sensibilidade foram conduzidas para avaliar a robustez das estimativas agrupadas mediante exclusão de estudos com maior risco de viés ou estudos que utilizaram definições alternativas de pontos de corte para GDF-15. Todos os testes estatísticos foram bicaudais, e p &lt; 0,05 foi considerado estatisticamente significativo.</p>
				</sec>
				<sec>
					<title>Considerações éticas</title>
					<p>Esta metanálise foi baseada exclusivamente em estudos previamente publicados e não envolveu participação direta de pacientes nem coleta de dados em nível individual. Portanto, a aprovação pelo comitê de ética institucional não foi necessária.</p>
				</sec>
			</sec>
			<sec sec-type="results">
				<title>Resultados</title>
				<sec>
					<title>Seleção dos estudos</title>
					<p>As buscas na literatura recuperaram um total de 1.245 registros. Após a remoção de duplicatas e a triagem de títulos e resumos, 78 artigos em texto completo foram avaliados quanto à elegibilidade. Após avaliação detalhada, sete estudos (n = 10.578 pacientes) que atenderam aos critérios de inclusão predefinidos foram incluídos na síntese quantitativa. O processo de seleção dos estudos é apresentado na <xref ref-type="fig" rid="f02002">Figura 1</xref>.</p>
				</sec>
				<sec>
					<title>Características dos estudos</title>
					<p>Os estudos incluídos foram publicados entre 2010 e 2025 e apresentaram duração média de seguimento de 3,2 anos. A idade média global dos participantes foi de 67 ± 11 anos, e 58% eram do sexo masculino. Todos os estudos mensuraram os níveis plasmáticos ou séricos basais de GDF-15 utilizando técnicas validadas de ensaio de imunoabsorção enzimática (ELISA) ou imunoensaios comparáveis. Populações com IC com fração de ejeção reduzida (ICFEr) e IC com fração de ejeção preservada (ICFEp) estiveram representadas entre os estudos incluídos.</p>
					<p>Entre as coortes elegíveis, o estudo de Daniels et al.<sup><xref ref-type="bibr" rid="B6">6</xref></sup> incluiu exclusivamente idosos provenientes de uma coorte comunitária, enquanto os estudos restantes incluíram populações adultas mais amplas, sem restrições de idade máxima. A <xref ref-type="table" rid="t1002">Tabela 1</xref> apresenta um resumo detalhado das características dos estudos, incluindo características populacionais, métodos utilizados para quantificação do GDF-15 e duração do seguimento.</p>
					<p>
						<table-wrap id="t1002">
							<label>Tabela 1</label>
							<caption>
								<title>– Principais características dos estudos incluídos na metanálise</title>
							</caption>
							<table frame="hsides" rules="groups">
								<colgroup>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
									<col/>
								</colgroup>
								<thead>
									<tr>
										<th align="left">ID do estudo</th>
										<th>n</th>
										<th>População do estudo</th>
										<th>Método de quantificação do GDF-15</th>
										<th>Duração média de seguimento</th>
										<th>Desfechos avaliados</th>
									</tr>
								</thead>
								<tbody>
									<tr>
										<td>Bonaca et al. (2011)</td>
										<td align="center">3.501</td>
										<td align="center">SCA</td>
										<td align="center">ELISA</td>
										<td align="center">2 anos</td>
										<td align="center">Mortalidade por todas as causas; infarto do miocárdio recorrente</td>
									</tr>
									<tr>
										<td>Anand et al. (2010)</td>
										<td align="center">1.734</td>
										<td align="center">IC crônica</td>
										<td align="center">ELISA</td>
										<td align="center">4 anos</td>
										<td align="center">Mortalidade por todas as causas; hospitalização por IC</td>
									</tr>
									<tr>
										<td>Daniels et al. (2011)</td>
										<td align="center">1.391</td>
										<td align="center">Idosos com IC</td>
										<td align="center">ELISA</td>
										<td align="center">11 anos</td>
										<td align="center">Mortalidade por todas as causas</td>
									</tr>
									<tr>
										<td>Lok et al. (2013)</td>
										<td align="center">209</td>
										<td align="center">IC avançada</td>
										<td align="center">ELISA</td>
										<td align="center">1 ano</td>
										<td align="center">Mortalidade por todas as causas; hospitalização por IC</td>
									</tr>
									<tr>
										<td>Stahrenberg et al. (2010)</td>
										<td align="center">228</td>
										<td align="center">ICFEp</td>
										<td align="center">ELISA</td>
										<td align="center">2 anos</td>
										<td align="center">Mortalidade por todas as causas; hospitalização por IC</td>
									</tr>
									<tr>
										<td>Wang et al. (2012)</td>
										<td align="center">3.428</td>
										<td align="center">Coorte comunitária</td>
										<td align="center">ELISA</td>
										<td align="center">7 anos</td>
										<td align="center">Mortalidade cardiovascular</td>
									</tr>
									<tr>
										<td>de Ávila et al. (2024)</td>
										<td align="center">87</td>
										<td align="center">IC crônica (ICFEr, ICFElr ou ICFEm)</td>
										<td align="center">ELISA</td>
										<td align="center">11 meses</td>
										<td align="center">Mortalidade cardiovascular; hospitalização por IC</td>
									</tr>
								</tbody>
							</table>
							<table-wrap-foot>
								<fn id="TFN1002">
									<p>ELISA: ensaio de imunoabsorção enzimática; GDF-15: fator de diferenciação de crescimento 15; IC: insuficiência cardíaca; ICFEm: IC com fração de ejeção melhorada; ICFElr: IC com fração de ejeção levemente reduzida; ICFEp: IC com fração de ejeção preservada; ICFEr: IC com fração de ejeção reduzida; SCA: síndrome coronariana aguda.</p>
								</fn>
							</table-wrap-foot>
						</table-wrap>
					</p>
				</sec>
				<sec>
					<title>Associação entre os níveis do fator de crescimento e diferenciação-15 e a mortalidade por todas as causas</title>
					<p>A análise agrupada dos sete estudos incluídos demonstrou que níveis aumentados de GDF-15 estiveram significativamente associados ao aumento da mortalidade por todas as causas, com HR agrupado de 2,72 (IC 95%, 1,55-4,17; p &lt; 0,001) (<xref ref-type="fig" rid="f03002">Figura 2</xref>). A heterogeneidade estatística foi moderada (I<sup>2</sup> = 49%), indicando alguma variabilidade entre os estudos, embora a associação global tenha permanecido robusta. Esses achados sustentam o valor prognóstico independente do GDF-15 para predição de mortalidade em longo prazo em pacientes com IC.</p>
					<p>
						<fig id="f03002">
							<label>Figura 2</label>
							<caption>
								<title>– Associação entre os níveis do fator de crescimento e diferenciação-15 e o risco de mortalidade por todas as causas em pacientes com insuficiência cardíaca. HR: hazard ratio; IC 95%: intervalo de confiança de 95%.</title>
							</caption>
							<graphic xlink:href="2764-3107-abchf-6-e20260006-gf03-pt.tif"/>
						</fig>
					</p>
				</sec>
				<sec>
					<title>Associação entre os níveis do fator de crescimento e diferenciação-15 e a hospitalização por insuficiência cardíaca</title>
					<p>Quatro estudos relataram dados referentes à hospitalização relacionada à IC. A análise agrupada demonstrou que concentrações mais elevadas de GDF-15 estiveram significativamente associadas ao aumento do risco de hospitalização por IC (HR, 2,43; IC 95%, 1,79-3,30; p &lt; 0,001) (<xref ref-type="fig" rid="f04002">Figura 3</xref>). A heterogeneidade estatística foi baixa, indicando forte consistência entre os estudos.</p>
					<p>
						<fig id="f04002">
							<label>Figura 3</label>
							<caption>
								<title>– Associação entre os níveis do fator de crescimento e diferenciação-15 e o risco de hospitalização por insuficiência cardíaca. HR: hazard ratio; IC 95%: intervalo de confiança de 95%.</title>
							</caption>
							<graphic xlink:href="2764-3107-abchf-6-e20260006-gf04-pt.tif"/>
						</fig>
					</p>
				</sec>
				<sec>
					<title>Análises de subgrupos</title>
					<p>As análises de subgrupos demonstraram que a associação entre níveis aumentados de GDF-15 e desfechos clínicos adversos foi consistente entre diferentes fenótipos de IC, incluindo ICFEr (HR, 2,65; IC 95%, 2,10-3,34) e ICFEp (HR, 2,58; IC 95%, 2,01-3,30). Esses achados sugerem que o GDF-15 mantém relevância prognóstica independentemente da fração de ejeção do ventrículo esquerdo (FEVE) e sustentam sua potencial utilidade como biomarcador amplamente aplicável em todo o espectro da IC.</p>
				</sec>
				<sec>
					<title>Viés de publicação e análises de sensibilidade</title>
					<p>A inspeção visual dos gráficos de funil não demonstrou evidência de assimetria substancial. O teste de regressão de Egger (p = 0,12) não indicou viés de publicação significativo, reforçando a confiabilidade das estimativas agrupadas. As análises de sensibilidade, com exclusão de estudos com maior risco de viés ou de estudos que utilizaram definições alternativas de pontos de corte para GDF-15, produziram resultados consistentes, fortalecendo ainda mais a robustez dos resultados da metanálise.</p>
				</sec>
			</sec>
			<sec sec-type="discussion">
				<title>Discussão</title>
				<p>Esta metanálise, integrando dados de sete estudos envolvendo 10.578 pacientes com IC, demonstrou que níveis plasmáticos aumentados de GDF-15 estão independentemente associados ao aumento dos riscos de mortalidade por todas as causas e hospitalização relacionada à IC. Esses achados fortalecem o papel do GDF-15 como biomarcador prognóstico capaz de aprimorar a estratificação de risco para além dos marcadores convencionais, como os peptídeos natriuréticos. A <xref ref-type="fig" rid="f01002">Figura Central</xref> resume os principais achados desta metanálise, demonstrando a associação entre níveis aumentados de GDF-15 e maiores riscos de mortalidade e hospitalização por IC.</p>
				<sec>
					<title>Interpretação fisiopatológica e clínica</title>
					<p>O GDF-15 é uma citocina pleiotrópica pertencente à superfamília TGF-β, cuja expressão é induzida por estresse miocárdico, inflamação, dano oxidativo e ativação neuro-hormonal, mecanismos centrais envolvidos na progressão da IC.<sup><xref ref-type="bibr" rid="B7">7</xref></sup> Diferentemente do BNP e do NT-proBNP, que refletem predominantemente estresse hemodinâmico, o GDF-15 integra vias relacionadas ao metabolismo, inflamação e remodelamento estrutural, potencialmente fornecendo uma representação mais ampla da gravidade da doença e da carga sistêmica.</p>
					<p>Na presente análise, a magnitude da associação observada (HR 2,72 para mortalidade) destaca a relevância clínica do GDF-15 como preditor independente de desfechos adversos. É importante destacar que essa associação permaneceu consistente entre diferentes fenótipos de IC, incluindo ICFEr e ICFEp, sustentando a ampla aplicabilidade prognóstica desse biomarcador.</p>
				</sec>
				<sec>
					<title>Comparação com evidências prévias</title>
					<p>Os achados do presente estudo são consistentes com os relatados por Wollert et al.,<sup><xref ref-type="bibr" rid="B2">2</xref></sup> que demonstraram pela primeira vez que o GDF-15 era um forte preditor independente de mortalidade cardiovascular e hospitalização por IC, mesmo após ajuste para biomarcadores estabelecidos e variáveis clínicas. De maneira semelhante, Daniels et al.<sup><xref ref-type="bibr" rid="B6">6</xref></sup> avaliaram uma coorte comunitária composta por idosos (idade média de 70 anos) e relataram que o GDF-15 apresentou a associação mais forte com mortalidade por todas as causas, superando NT-proBNP e troponina I. Esses achados sugerem que o GDF-15 pode captar processos biológicos relacionados ao envelhecimento não completamente refletidos pelos biomarcadores tradicionais, potencialmente explicando seu forte desempenho prognóstico em populações idosas.</p>
					<p>Mais recentemente, Ávila et al.<sup><xref ref-type="bibr" rid="B8">8</xref></sup> forneceram evidências prospectivas em pacientes com IC crônica estável, demonstrando que níveis aumentados de GDF-15 permaneceram independentemente associados à morte cardiovascular e hospitalização, mesmo após ajuste para NT-proBNP e o escore <italic>Meta-Analysis Global Group in Chronic Heart Failure</italic> (MAGGIC). Essas observações reforçam a capacidade do GDF-15 de complementar ferramentas prognósticas estabelecidas e melhorar a identificação de pacientes com maior risco de desfechos clínicos adversos.</p>
				</sec>
				<sec>
					<title>Integração em modelos prognósticos</title>
					<p>A incorporação do GDF-15 em ferramentas multivariáveis de predição de risco, como o escore MAGGIC<sup><xref ref-type="bibr" rid="B9">9</xref></sup> e o <italic>Seattle Heart Failure Model</italic> (SHFM),<sup><xref ref-type="bibr" rid="B10">10</xref></sup> pode melhorar a discriminação prognóstica e apoiar estratégias de manejo mais individualizadas. Esses modelos atualmente dependem principalmente de variáveis clínicas e laboratoriais, incluindo FEVE, função renal, classe funcional da <italic>New York Heart Association</italic> e peptídeos natriuréticos. Ao refletir vias biológicas que se estendem além do estresse hemodinâmico, particularmente inflamação e remodelamento tecidual, o GDF-15 pode fornecer informação prognóstica incremental e identificar risco residual mesmo em pacientes recebendo terapia otimizada.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
					<p>Evidências emergentes sustentam ainda a integração do GDF-15 em abordagens multimarcadores em conjunto com peptídeos natriuréticos, troponinas cardíacas de alta sensibilidade e galectina-3 para melhorar a granularidade da estratificação de risco e otimizar estratégias de seguimento e tomada de decisão terapêutica. Além disso, estudos recentes demonstraram que o GDF-15 mantém valor prognóstico independente em todo o espectro da FEVE e pode aprimorar o desempenho preditivo de modelos estabelecidos, como o escore MAGGIC.<sup><xref ref-type="bibr" rid="B12">12</xref>-<xref ref-type="bibr" rid="B15">15</xref></sup></p>
					<p>De forma relevante, essa importância prognóstica também parece aplicável a pacientes com ICFEp, nos quais níveis circulantes mais elevados de GDF-15 predisseram independentemente mortalidade e hospitalização por IC após ajuste para covariáveis clínicas, reforçando seu valor para além de biomarcadores convencionais relacionados à congestão e ao estresse hemodinâmico.<sup><xref ref-type="bibr" rid="B16">16</xref></sup></p>
				</sec>
				<sec>
					<title>Heterogeneidade e considerações metodológicas</title>
					<p>A heterogeneidade moderada observada entre os estudos (I<sup>2</sup> = 49%) provavelmente reflete diferenças nas metodologias analíticas, nas definições de pontos de corte e nas características basais das populações, incluindo a carga de comorbidades como disfunção renal e diabetes mellitus. Ainda assim, as análises de sensibilidade confirmaram a estabilidade das estimativas agrupadas, indicando que tais variações não influenciaram materialmente os achados globais.</p>
					<p>Uma limitação adicional é a ausência de pontos de corte clínicos padronizados para interpretação do GDF-15. A maioria dos estudos incluídos utilizou abordagens de estratificação baseadas em mediana ou quartis, destacando a necessidade de valores de corte universalmente aceitos para facilitar a implementação clínica. Além disso, a disponibilidade limitada de medidas seriadas do biomarcador restringiu a avaliação das mudanças temporais nos níveis de GDF-15 e sua potencial utilidade no monitoramento da resposta terapêutica.</p>
				</sec>
				<sec>
					<title>Implicações clínicas</title>
					<p>Do ponto de vista clínico, esses achados sustentam o uso do GDF-15 como biomarcador complementar para avaliação prognóstica na IC. A incorporação do GDF-15 em estratégias multimarcadores pode melhorar a estratificação de risco, orientar a intensidade do seguimento e ajudar a identificar pacientes que podem se beneficiar de terapias avançadas ou vigilância clínica mais próxima. Além disso, ao refletir estresse biológico e remodelamento miocárdico, o GDF-15 pode representar um alvo terapêutico promissor para futuras pesquisas translacionais.</p>
				</sec>
			</sec>
			<sec sec-type="conclusions">
				<title>Conclusão</title>
				<p>Esta revisão sistemática e metanálise fornecem evidências robustas que sustentam o GDF-15 como biomarcador prognóstico independente em pacientes com IC. Níveis circulantes aumentados de GDF-15 estiveram consistentemente associados ao aumento dos riscos de mortalidade por todas as causas e hospitalização por IC em diferentes fenótipos de fração de ejeção e contextos clínicos. Esses achados reforçam a relevância biológica e clínica do GDF-15 como biomarcador que integra inflamação, estresse oxidativo e remodelamento miocárdico, oferecendo uma avaliação mais ampla da carga da doença para além dos indicadores hemodinâmicos convencionais.</p>
				<p>A incorporação do GDF-15 em modelos prognósticos multimarcadores, como o escore MAGGIC e o SHFM, pode melhorar a precisão da estratificação de risco e apoiar uma abordagem mais personalizada para o manejo da IC. Essa integração pode facilitar a identificação de pacientes com risco residual apesar da terapia médica orientada por diretrizes, potencialmente contribuindo para intensificação terapêutica e vigilância clínica mais próxima.</p>
				<p>Estudos futuros devem ter como objetivo: i) estabelecer pontos de corte clínicos padronizados para o GDF-15; ii) avaliar a relevância prognóstica das mudanças longitudinais nos níveis de GDF-15; iii) determinar seu valor preditivo incremental em conjunto com biomarcadores estabelecidos; e iv) explorar seu potencial papel como alvo terapêutico na progressão da IC.</p>
				<p>De modo geral, o GDF-15 emerge como um biomarcador promissor para avaliação prognóstica abrangente na IC, conectando mecanismos fisiopatológicos moleculares e tomada de decisão clínica individualizada.</p>
			</sec>
		</body>
		<back>
			<fn-group>
				<fn fn-type="other">
					<label>Vinculação Acadêmica:</label>
					<p> Não há vinculação deste estudo a programas de pós-graduação.</p>
				</fn>
				<fn fn-type="other">
					<label>Aprovação Ética e Consentimento Informado:</label>
					<p> Este artigo não contém estudos com humanos ou animais realizados por nenhum dos autores.</p>
				</fn>
				<fn fn-type="data-availability" specific-use="data-available-upon-request">
					<label>Disponibilidade de Dados:</label>
					<p> Todo o conjunto de dados que dá suporte aos resultados deste estudo está disponível mediante solicitação ao autor correspondente.</p>
				</fn>
				<fn fn-type="other">
					<label>Uso de Inteligência Artificial:</label>
					<p> Os autores não utilizaram ferramentas de inteligência artificial no desenvolvimento deste trabalho.</p>
				</fn>
				<fn fn-type="financial-disclosure">
					<label>Fontes de Financiamento:</label>
					<p> O presente estudo não teve fontes de financiamento externas.</p>
				</fn>
			</fn-group>
		</back>
	</sub-article>
</article>