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Prognostic Value of Multiple Circulating Biomarkers for 2-Year Death in Acute Heart Failure With Preserved Ejection Fraction.

ABSTRACT: Background: Heart failure with preserved ejection fraction (HFpEF) is increasingly recognized as a major global public health burden and lacks effective risk stratification. We aimed to assess a multi-biomarker model in improving risk prediction in HFpEF. Methods: We analyzed 18 biomarkers from the main pathophysiological domains of HF in 380 patients hospitalized for HFpEF from a prospective cohort. The association between these biomarkers and 2-year risk of all-cause death was assessed by Cox proportional hazards model. Support vector machine (SVM), a supervised machine learning method, was used to develop a prediction model of 2-year all-cause and cardiovascular death using a combination of 18 biomarkers and clinical indicators. The improvement of this model was evaluated by c-statistics, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Results: The median age of patients was 71-years, and 50.5% were female. Multiple biomarkers independently predicted the 2-year risk of death in Cox regression model, including N-terminal pro B-type brain-type natriuretic peptide (NT-proBNP), high-sensitivity cardiac troponin T (hs-TnT), growth differentiation factor-15 (GDF-15), tumor necrosis factor-α (TNFα), endoglin, and 3 biomarkers of extracellular matrix turnover [tissue inhibitor of metalloproteinases (TIMP)-1, matrix metalloproteinase (MMP)-2, and MMP-9) (FDR < 0.05). The SVM model effectively predicted the 2-year risk of all-cause death in patients with acute HFpEF in training set (AUC 0.834, 95% CI: 0.771-0.895) and validation set (AUC 0.798, 95% CI: 0.719-0.877). The NRI and IDI indicated that the SVM model significantly improved patient classification compared to the reference model in both sets (p < 0.05). Conclusions: Multiple circulating biomarkers coupled with an appropriate machine-learning method could effectively predict the risk of long-term mortality in patients with acute HFpEF. It is a promising strategy for improving risk stratification in HFpEF.

SUBMITTER: Gao Y

PROVIDER: S-EPMC8695736 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Background Maximal left atrial (LA) volume is reported by most echocardiography laboratories and is associated with clinical outcomes in patients with heart failure (HF). Recent studies suggest that minimal LA volume may better reflect left ventricular filling pressure and may be more prognostic than maximal LA volume. This study assessed the prognostic value of indexed minimal LA volume (LAVImin) in patients with HF with preserved ejection fraction. Methods and Results We assessed the relationship of LAVImin with a primary composite end point of cardiovascular death, aborted cardiac death, or HF hospitalization in 347 patients with HF with preserved ejection fraction enrolled from the Americas region in TOPCAT (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist Trial). We compared LAVImin with indexed maximal LA volume with respect to their prognostic values. In addition, we assessed if LA functional parameters provide additional prognostic information over LAVImin. During a median follow-up of 2.5 years, 107 patients (31%) experienced a primary composite end point. LAVImin was associated with increased risk of a primary composite outcome (hazard ratio [HR], 1.35; 95% CI, 1.12-1.61) and HF hospitalization alone (HR, 1.42; 95% CI, 1.17-1.71) after adjusting for clinical confounders and ejection fraction. In contrast, indexed maximal LA volume was not related to the primary composite outcome, but related to HF alone (HR, 1.25; 95% CI, 1.02-1.54). In comparison with indexed maximal LA volume, LAVImin was significantly more prognostic for primary composite outcome (P for comparison=0.032). Both LA emptying fraction and LA strain were prognostic of primary outcome independent of LAVImin (all P<0.05). Conclusions In patients with HF with preserved ejection fraction, LAVImin was more predictive of cardiovascular outcome than indexed maximal LA volume, suggesting this measure may be more physiologically relevant and might better identify patients at high risk for cardiovascular events. LA functional parameters provide prognostic information independent of LAVImin. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT00094302.

Project description:BACKGROUND:Albuminuria predicts adverse events in heart failure with preserved ejection fraction. No therapies to date have reduced albuminuria in heart failure with preserved ejection fraction. METHODS AND RESULTS:We analyzed 1175 participants from the Americas from the TOPCAT study (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist) with urinary albumin:creatinine ratio (UACR) measurements at baseline. We examined the association of UACR with the primary outcome (cardiovascular death, aborted cardiac arrest, or heart failure hospitalization) and its individual components, all-cause mortality, and several safety end points using multivariable-adjusted Cox regression. We evaluated whether spironolactone reduced albuminuria at the 1-year visit in a subpopulation (N=744). Thirty-five percent had microalbuminuria, 13% had macroalbuminuria, and 80% were receiving angiotensin-converting enzyme inhibitors or angiotensin receptor blockers. Increasing UACR was associated with male sex, higher systolic blood pressure, diabetes mellitus, and renal dysfunction. Macroalbuminuria (hazard ratio, 1.67; 95% CI, 1.22-2.28) and microalbuminuria (hazard ratio, 1.47; 95% CI, 1.15-1.86) were independently associated with the TOPCAT primary end point (compared with normoalbuminuria). Adjusting for placebo response, spironolactone reduced albuminuria by 39% in all participants at the 1-year visit compared with baseline (geometric mean ratio, 0.61; 95% CI, 0.49-0.77) and by 76% (geometric mean ratio, 0.24; 95% CI, 0.10-0.56) among those with macroalbuminuria. Reducing UACR by 50% was independently associated with a reduction in heart failure hospitalization (hazard ratio, 0.90; P=0.017) and all-cause mortality (hazard ratio, 0.91; P=0.019). The change in UACR was significantly associated with change in systolic blood pressure ( P=0.001). CONCLUSIONS:In TOPCAT, albuminuria was independently associated with worse cardiovascular outcomes. Spironolactone significantly reduced albuminuria compared with placebo. Reducing albuminuria was independently associated with improved outcomes. CLINICAL TRIAL REGISTRATION:URL: https://www.clinicaltrials.gov . Unique identifier: NCT00094302.

Project description:BACKGROUND:This study aimed to compare the independent and incremental prognostic value of peak oxygen consumption (VO2) and minute ventilation/carbon dioxide production (VE/VCO2) in heart failure (HF) with preserved (HFpEF), midrange (HFmEF), and reduced (HFrEF) ejection fraction (LVEF). METHODS AND RESULTS:In 195 HFpEF (LVEF ?50%), 144 HFmEF (LVEF 40-49%), and 630 HFrEF (LVEF <40%) patients, we assessed the association of cardiopulmonary exercise testing variables with the composite outcome of death, left ventricular assist device implantation, or heart transplantation (256 events; median follow-up of 4.2 years), and 2-year incident HF hospitalization (244 events). In multivariable Cox regression analysis, greater association with outcomes in HFpEF than HFrEF were noted with peak VO2 (HR [95% confidence interval]: 0.76 [0.67-0.87] versus 0.87 [0.83-0.90] for the composite outcome, Pinteraction=0.052; 0.77 [0.69-0.86] versus 0.92 [0.88-0.95], respectively for HF hospitalization, Pinteraction=0.003) and VE/VCO2 slope (1.11 [1.06-1.17] versus 1.04 [1.03-1.06], respectively for the composite outcome, Pinteraction=0.012; 1.10 [1.05-1.15] versus 1.04 [1.03-1.06], respectively for HF hospitalization, Pinteraction=0.019). In HFmEF, peak VO2 and VE/VCO2 slope were associated with the composite outcome (0.79 [0.70-0.90] and 1.12 [1.05-1.19], respectively), while only peak VO2 was related to HF hospitalization (0.81 [0.72-0.92]). In HFpEF and HFrEF, peak VO2 and VE/VCO2 slope provided incremental prognostic value beyond clinical variables based on the C-statistic, net reclassification improvement, and integrated diagnostic improvement, with models containing both measures demonstrating the greatest incremental value. CONCLUSIONS:Both peak VO2 and VE/VCO2 slope provided incremental value beyond clinical characteristics and LVEF for predicting outcomes in HFpEF. Cardiopulmonary exercise testing variables provided greater risk discrimination in HFpEF than HFrEF.

Project description:AimsThere is an increasing proportion of hospitalized heart failure (HF) patients classified as HF with preserved ejection fraction (HFpEF) around the world. Growth differentiation factor 15 (GDF-15) is a promising biomarker in HFpEF prognostication; however, the majority of the existing data has been derived from the research on undifferentiated HF, whereas the studies focusing on HFpEF are still limited. This study aimed to determine the prognostic power of GDF-15 in the hospitalized patients with HFpEF in a Chinese cohort.Methods and resultsWe analysed the levels of serum GDF-15 in 380 patients hospitalized for acute onset of HFpEF measured by heart ultrasound at admission in a prospective cohort. The associations of GDF-15 with 1 year risk of all-cause death and 1 year HF readmission were assessed by the Cox proportional hazards model. Area under the receiver operating characteristic curves was used to compare predictive accuracy. GDF-15 was strongly correlated with 1 year HF readmission and 1 year all-cause death, with event rates of 24.8%, 40.0%, and 50.0% for 1 year HF readmission (P < 0.001), respectively, and with 11.2%, 13.6%, and 24.6% for 1 year all-cause death (P = 0.004) in the corresponding tertile, respectively. In the multivariate linear regression model, GDF-15 had a significantly negative correlation with haemoglobin (P = 0.01) and a positive correlation with creatinine (P = 0.01), alanine transaminase (P = 0.001), and therapy of aldosterone antagonist (P = 0.018). The univariate Cox regression model of GDF-15 showed that c-statistic was 0.632 for 1 year HF readmission and 0.644 for 1 year all-cause death, which were superior to the N-terminal pro-brain natriuretic peptide (NT-proBNP) model with c-statistics of 0.595 and 0.610, respectively. In the multivariable Cox regression model, GDF-15 tertiles independently predicted 1 year HF readmission (hazard ratio 2.25, 95% confidence interval: 1.43-3.54, P < 0.001) after adjusting for baseline Acute Study of Clinical Effectiveness of Nesiritide in Decompensated Heart Failure (ASCEND-HF) risk score, history of HF, NT-proBNP, and high-sensitivity cardiac troponin T. Compared with the model including all the adjusted variables, the model with the addition of GDF-15 improved predictive power, with c-statistic increasing from 0.643 to 0.657 for 1 year HF readmission and from 0.638 to 0.660 for 1 year all-cause death.ConclusionsIn hospitalized patients with HFpEF, GDF-15 measured within 48 h of admission is a strong independent biomarker for 1 year HF readmission and even better than NT-proBNP. GDF-15 combined with the traditional indicators provided incremental prognostic value in this population.

Project description:BackgroundIn heart failure with reduced ejection fraction (HFrEF), elevated soluble neprilysin (sNEP) levels are associated with an increased risk of cardiovascular death, and its inhibition with sacubitril/valsartan has improved survival.ObjectivesThis study sought to determine the relevance of sNEP as a biomarker in heart failure with preserved ejection fraction (HFpEF) and to compare circulating sNEP levels in patients with HFpEF with normal controls.MethodsA case-control study was performed in 242 symptomatic patients with HFpEF previously enrolled in the Phosphodiesterase-5 Inhibition to Improve Clinical Status and Exercise Capacity in Heart Failure with Preserved Ejection Fraction (RELAX) and Nitrates's Effect on Activity Tolerance in Heart Failure With Preserved Ejection (NEAT-HFpEF) clinical trials and 891 asymptomatic subjects without HF or diastolic dysfunction (confirmed by NT-proBNP levels <200 pg/ml and echocardiography) who were enrolled in the Prevalence of Asymptomatic Left Ventricular Dysfunction study. sNEP was measured using a sandwich enzyme-linked immunosorbent assay (ELISA) in all subjects.ResultsOverall, sNEP levels were lower in HFpEF compared with controls (3.5 ng/ml; confidence interval [CI]: 2.5 to 4.8 vs. 8.5 ng/ml; CI: 7.2 to 10.0; p < 0.001). After adjusting for age, gender, body mass index (BMI), and smoking history, mean sNEP levels were also lower in HFpEF compared with controls (4.0 ng/ml [CI: 2.7 to 5.4] vs. 8.2 ng/ml [CI: 6.8 to 9.7]; p = 0.002). The cohorts were propensity matched based on age, BMI, diabetes, hypertension, smoking history, and renal function, and sNEP levels remained lower in HFpEF compared with controls (median 2.4 ng/ml [interquartile range: 0.6 to 27.7] vs. 4.9 ng/ml [interquartile range: 1.2 to 42.2]; p = 0.02).ConclusionsPatients with HFpEF on average have significantly lower circulating sNEP levels compared with controls. These findings challenge our current understanding of the complex biology of circulating sNEP in HFpEF.

Project description:AimsThe prevalence of heart failure (HF) after acute myocardial infarction (AMI) is common. Contemporary data are lacking on the prognostic utility of the measurement of biomarker for patients with AMI complicated by HF according to preserved (HFpEF) and reduced ejection fraction (HFrEF). We aim to assess the association between D-dimer levels and all-cause mortality in patients with AMI complicated by different HF subtypes during hospitalization in the context of other risk factors.Methods and resultsWe enrolled 4495 patients with AMI with complete clinical and laboratory variable assessments in this cohort. D-dimer levels were measured on admission immediately at baseline. We used Cox proportional hazards analysis to assess this association accounting for 18 relevant clinical variables. During the index hospitalization, 589 patients with AMI developed HFpEF, 513 patients with AMI developed HFrEF, and 3393 patients with AMI did not develop HF. The patients were divided into HFpEF, HFrEF, and non-HF groups accordingly. The median length of follow-up was 1 year (range: 1 to 24 months). During the whole follow-up, 58 (15.5%), 107 (27.9%), and 96 (4.2%) of the patients experienced death event in HFpEF, HFrEF, and non-HF groups, respectively. In each group, the patients were divided into high or low D-dimer levels according to D-dimer concentration (145 ng/mL). In the fully adjusted model, the risk of all-cause mortality of those patients with high D-dimer levels was 2.09 [95% confidence intervals (CI): 1.08 to 4.02, P = 0.02] times as high as the risk of patients with low D-dimer levels in HFpEF group. When analysing D-dimer as a continuous variable, this associations still existed. But there was no significant association between D-dimer concentration and all-cause mortality in HFrEF [hazard ratio (HR): 1.25, CI: 0.76 to 2.04, P = 0.37] or non-HF (HR: 1.56, CI: 0.98 to 2.47, P = 0.06), respectively, after fully adjustment for other key clinical variables.ConclusionsHigh D-dimer levels on admission were found to be strongly associated with the subsequent cumulative incidence of all-cause mortality in patients with AMI complicated by HFpEF.

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Prognostic Value of Multiple Circulating Biomarkers for 2-Year Death in Acute Heart Failure With Preserved Ejection Fraction.

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