Evidence map›Paper›PMID 32510902›Full record

ArticleJournal of the Chinese Medical Association : JCMA2020

Risk stratification in patients hospitalized for acute heart failure in Asian population.

Hao-Chih Chang, Hao-Min Cheng, Wei-Ming Huang, Ching-Wei Lee, Chao-Yu Guo, Wen-Chung Yu, Chen-Huan Chen, Shih-Hsien Sung

Abstract read
In one paragraph

Article in Journal of the Chinese Medical Association : JCMA, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hao-Chih ChangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Hao-Min ChengCardiovascular Research Center, National Yang-Ming University, Taipei, Taiwan, ROC.
Wei-Ming HuangDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Ching-Wei LeeDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Chao-Yu GuoInstitute of Public Health, National Yang-Ming University School of Medicine, Taipei, Taiwan, ROC.
Wen-Chung YuDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.
Chen-Huan ChenCardiovascular Research Center, National Yang-Ming University, Taipei, Taiwan, ROC.
Shih-Hsien SungDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe AHEAD (A: atrial fibrillation; H: hemoglobin; E: elderly; A: abnormal renal parameters; D: diabetes mellitus) score may be suboptimal in predicting long-term mortality in Asian patients with acute heart failure (AHF). We aimed to propose and validate a risk score incorporating easily available echocardiographic parameters to improve risk stratification in Asian patients with AHF.

methodsA total of 3537 patients hospitalized for AHF were enrolled and divided into generation and validation cohorts. Independent predictors of all-cause mortality were identified by Cox regression analysis and scored by hazard ratios to constitute the model. Model performance was validated and evaluated by receiver operating characteristic (ROC) curves and net reclassification improvement (NRI).

resultsIn the generation cohort of 1775 patients (74.3±13.0 years, 69.9% men), there were 870 deaths (49.0%) during a mean follow-up of 24.7±13.8 months. Age, anemia, estimated glomerular filtration rate <50 ml/min/1.73 m, hyperuricemia, left ventricular ejection fraction <50% and right ventricular systolic pressure (RVSP) >40 mmHg were independently related to mortality, which constituted "UR-HEARt" (U: uric acid, R: renal function, H: hemoglobin, E: ejection fraction of left ventricle, A: age, Rt: RVSP) score. Model performance was evaluated in the validation cohort (n = 1762), which outperformed AHEAD score by comparison of ROC curves in predicting all-cause mortality (area under curve [AUC] of UR-HEARt vs. AHEAD: 0.66 [95% CI 0.62-0.70] vs. 0.58 [95% CI 0.54-0.62]; p < 0.001), with NRI by 10.9% for all-cause mortality (p < 0.001) and 18.4% for cardiovascular death (p < 0.001).

conclusionUR-HEARt score, an easily accessible racial-specific risk score with integration of echocardiographic indices, improved risk stratification in Asian patients hospitalized for AHF.

Indexed as

Acute DiseaseAgedAged, 80 and overAsian PeopleAtrial FibrillationDiabetes ComplicationsFemaleGlomerular Filtration RateHeart FailureHospitalizationHumansMaleMiddle AgedRisk FactorsSystole

Identifiers

PMID32510902
PMCPMC13047999

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.