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Inflammation-based assessment for the risk stratification of mortality in patients with heart failure.

ABSTRACT: The Glasgow Prognostic Score (GPS) has been established as a useful resource to evaluate inflammation and malnutrition and predict prognosis in several cancers. However, its prognostic significance in patients with heart failure (HF) is not well established. To investigate the association between the GPS and mortality in patients with HF, we assessed 870 patients who were 20 years old and more and had been admitted for acute decompensated HF. The GPS ranged from 0 to 2 points as previously reported. Over the 18-month follow-up (follow-up rate, 83.9%), 143 patients died. Increasing GPS was associated with higher HF severity assessed by New York Heart Association functional class and B-type natriuretic peptide (BNP) levels. Kaplan-Meier analysis showed significant associations for mortality and increased GPS. In multivariate analysis, compared to the GPS 0 group, the GPS 2 group was associated with high mortality (hazard ratio 2.92, 95% confidence interval 1.77-4.81, p < 0.001) after adjustment for age, sex, blood pressure, HF history, HF severity, hemoglobin, renal function, sodium, BNP, left ventricular ejection fraction, and anti-HF medications. In conclusion, high GPS was significantly associated with worse prognosis in patients with HF. Inflammation-based assessment by the GPS may enable simple evaluation of HF severity and prognosis.

SUBMITTER: Itagaki T

PROVIDER: S-EPMC8298574 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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Inflammation-based assessment for the risk stratification of mortality in patients with heart failure.

Itagaki Tadashi T Motoki Hirohiko H Otagiri Kyuhachi K Machida Keisuke K Takeuchi Takahiro T Kanai Masafumi M Kimura Kazuhiro K Higuchi Satoko S Minamisawa Masatoshi M Kitabayashi Hiroshi H Kuwahara Koichiro K

Scientific reports 20210722 1

The Glasgow Prognostic Score (GPS) has been established as a useful resource to evaluate inflammation and malnutrition and predict prognosis in several cancers. However, its prognostic significance in patients with heart failure (HF) is not well established. To investigate the association between the GPS and mortality in patients with HF, we assessed 870 patients who were 20 years old and more and had been admitted for acute decompensated HF. The GPS ranged from 0 to 2 points as previously repor ...[more]

PMID: 34294776

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Project description:BackgroundPatients with acute heart failure (AHF) show various clinical courses during hospitalization. We aimed to identify time course predictors of in-hospital mortality and to establish a sequentially assessable risk model.Methods and resultsWe enrolled 1,035 consecutive AHF patients into derivation (n = 597) and validation (n = 438) cohorts. For risk assessments at admission, we utilized Get With the Guidelines-Heart Failure (GWTG-HF) risk scores. We examined significant predictors of in-hospital mortality from 11 variables obtained during hospitalization and developed a risk stratification model using multiple logistic regression analysis. Across both cohorts, 86 patients (8.3%) died during hospitalization. Using backward stepwise selection, we identified five time-course predictors: catecholamine administration, minimum platelet concentration, maximum blood urea nitrogen, total bilirubin, and C-reactive protein levels; and established a time course risk score that could sequentially assess a patient's risk status. The addition of a time course risk score improved the discriminative ability of the GWTG-HF risk score (c-statistics in derivation and validation cohorts: 0.776 to 0.888 [p = 0.002] and 0.806 to 0.902 [p<0.001], respectively). A calibration plot revealed a good relationship between observed and predicted in-hospital mortalities in both cohorts (Hosmer-Lemeshow chi-square statistics: 6.049 [p = 0.642] and 5.993 [p = 0.648], respectively). In each group of initial low-intermediate risk (GWTG-HF risk score <47) and initial high risk (GWTG-HF risk score ≥47), in-hospital mortality was about 6- to 9-fold higher in the high time course risk score group than in the low-intermediate time course risk score group (initial low-intermediate risk group: 20.3% versus 2.2% [p<0.001], initial high risk group: 57.6% versus 8.5% [p<0.001]).ConclusionsA time course assessment related to in-hospital mortality during the hospitalization of AHF patients can clearly categorize a patient's on-going status, and may assist patients and clinicians in deciding treatment options.

Project description:AimsRisk stratification of patients with new-onset acute heart failure (AHF) is important but remains challenging. In the present study, we evaluated the prognostic value of a new multiparameter right ventricular dysfunction (RVD) score.Methods and resultsPatients (n = 210) hospitalized due to new-onset AHF between 2015 and 2018 were retrospectively included. Mean age was 56 ± 10 years, 24% were female and median left ventricular ejection fraction was 28% (interquartile range 20; 34%). The RVD score, tricuspid annular plane systolic excursion (TAPSE), and fractional area change (FAC) were determined at index hospitalization and after therapy titration. The 4-point RVD score included reduced TAPSE, right ventricular enlargement, moderate or severe tricuspid regurgitation and increased central venous pressure. The study endpoint was a composite of all-cause mortality, left ventricular assist device implantation, and heart transplantation. After 60 months median follow-up time, 53 (25%) patients met the endpoint. At index hospitalization, there were no significant differences in any echocardiographic parameter between patients with and without the endpoint. After therapy titration, there were differences in TAPSE (16 vs. 19 mm, P = 0.001), FAC (33 vs. 40%, P < 0.001) and the proportion of patients with RVD score ≥2 (36 vs. 4%, P < 0.001). The presence of RVD despite therapy titration had different impact on survival depending on the parameter considered: the proportion of patients free from events after 1 year was 87% in patients with TAPSE <17 mm, 89% in patients with FAC <35% and 65% in patients with RVD score ≥2. In a multivariable analysis, RVD score ≥2 after therapy titration, but not TAPSE <17 mm or FAC < 35%, remained associated with a higher risk of the composite endpoint (hazard ratio 3.11, 95% confidence interval 1.44-6.74).ConclusionsA novel multiparametric RVD score might improve prognostic stratification in patients with new-onset AHF. RVD after therapy titration, but not at index hospitalization is associated with a higher risk of the composite endpoint.

Project description:BackgroundHeart failure (HF) is a complex clinical syndrome with persistently high mortality. High-throughput proteomic technologies offer new opportunities to improve HF risk stratification, but their contribution remains to be clearly defined. We aimed to systematically review prognostic studies using high-throughput proteomics to identify protein signatures associated with HF mortality.MethodsWe searched four databases and two clinical trial registries for articles published from 2012 to 2023. HF proteomics studies measuring high numbers of proteins using aptamer or antibody-based affinity platforms on human plasma or serum with outcomes of all-cause or cardiovascular death were included. Two reviewers independently screened articles, extracted data, and assessed the risk of bias. A third reviewer resolved conflicts. We assessed the risk of bias using the Risk Of Bias In Non-randomized Studies-of Exposure tool.ResultsOut of 5131 unique articles identified, nine articles were included in the review. The nine studies were observational; three used the aptamer platform, and six used the antibody platform. We found considerable heterogeneity across studies in measurement panels, HF definitions, ejection fraction categorization, follow-up duration, and outcome definitions, and a lack of risk estimates for most protein associations. Hence, we proceeded with a systematic review rather than a meta-analysis. In two comparable aptamer studies in patients with HF with reduced ejection fraction, 21 proteins were identified in common for the association with all-cause death. Among these, one protein, WAP four-disulfide core domain protein 2 was also reported in an antibody study on HFrEF and for the association with CV death. We proposed standardized reporting criteria to facilitate the interpretation of future studies.ConclusionsIn this systematic review of nine studies evaluating the association of proteomics with mortality in HF, we identified a limited number of proteins common across several studies. Heterogeneity across studies compromised drawing broad inferences, underscoring the importance of standardized approaches to reporting.

Dataset Information

Inflammation-based assessment for the risk stratification of mortality in patients with heart failure.

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Inflammation-based assessment for the risk stratification of mortality in patients with heart failure.

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