Open AccessA statistical predictive model consistent within a 5-year follow-up period for patients with acute heart failure
Author(s) -
ChaoYu Guo,
Chin-Feng Chan,
Yu Chin Chou,
Shih Hsien Sung,
Hao Min Cheng
Publication year - 2020
Publication title -
journal of the chinese medical association
Language(s) - English
Resource type - Journals
eISSN - 1728-7731
pISSN - 1726-4901
DOI - 10.1097/jcma.0000000000000403
Subject(s) - medicine , atrial fibrillation , concordance , proportional hazards model , heart failure , diabetes mellitus , statistic , blood urea nitrogen , intensive care medicine , cardiology , creatinine , statistics , mathematics , endocrinology
Acute heart failure (AHF) is a major and rapidly growing health problem responsible for millions of hospitalizations annually. Due to a high proportion of in-hospital mortality and postdischarge rehospitalization and mortality, a prompt strategy for risk stratification and subsequently tailored therapy is desirable to help improve clinical outcomes. The AHEAD (A: atrial fibrillation; H: hemoglobin; E: elderly; A: abnormal renal parameters; D: diabetes mellitus) and AHEAD-U (A: atrial fibrillation; H: hemoglobin; E: elderly; A: abnormal renal parameters; D: diabetes mellitus, U: uric acid) are popular prognostic scoring systems. However, only a specific follow-up period is considered in these systems, and whether their predictive capability is still accurate in a significantly shorter or longer follow-up period is not known.