Frailty in elderly patients with acute heart failure increases readmission

被引:2
|
作者
Umehara, Takuya [1 ]
Kaneguchi, Akinori [1 ]
Katayama, Nobuhisa [2 ]
Kawakami, Wataru [2 ]
Kuwahara, Daisuke [3 ]
Kito, Nobuiro [1 ]
Kakehashi, Masayuki [4 ]
机构
[1] Hiroshima Int Univ, Fac Rehabil, Dept Rehabil, Kurose Gakuendai 555 36, Higashihiroshima, Hiroshima, Japan
[2] Kure Kyosai Hosp, Dept Rehabil, Nishichuo 2 3 28, Kure, Hiroshima, Japan
[3] Saiseikai Kure Hosp, Dept Rehabil, Sanjo 2 1 13, Kure, Hiroshima, Japan
[4] Hiroshima Univ, Grad Sch Biomed & Hlth Sci, Dept Hlth Informat, Kasumi 1 2 3,Hiroshima Minami ku, Hiroshima, Japan
来源
HEART & LUNG | 2023年 / 57卷
关键词
Heart failure; Readmission; Number of readmissions; Frailty; EJECTION FRACTION; PREVALENCE; RELIABILITY; PERFORMANCE; MORTALITY; PROGRAM; DISEASE; UPDATE;
D O I
10.1016/j.hrtlng.2022.08.021
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The readmission rate of heart failure (HF) patients has not decreased during the past few years. Objectives: The purpose of this study was to examine whether factors such as left ventricular ejection fraction (LVEF) and frailty are associated with readmission and number of readmissions in HF patients. Methods: First, a propensity score matching method was used to adjust for confounding factors for readmission. Cox regression analysis was conducted to determine the factors that influenced readmission. Finally, multiple regression analysis was conducted to determine the factors that influenced the number of readmissions. The independent variables were basic and medical information, physical structure, physical functions, and activity for both Cox regression analysis and multiple regression analysis. Results: After matching based on the propensity score, 18 out of 18 (100.0%) patients in the readmission group (age: 85.0 +/- 6.9 years, female rate: 50.0%, body mass index: 21.7 +/- 3.4 kg/m(2)) and 18 out of 51 (35.3%) patients in the nonreadmission group (age: 84.3 +/- 8.6, female rate: 50.0%, body mass index: 21.8 +/- 4.5 kg/m(2)) were eligible for analysis. Cox regression analysis (hazard ratios) showed that sex (0.16), geriatric nutritional risk index (1.02), and degree of frailty (11.44) were extracted as significant factors. Multiple regression analysis (standardized regression coefficients) showed that the estimated glomerular filtration rate (-0.40), LVEF (-0.32), and degree of frailty (0.29) were extracted as significant factors. Conclusion: Our results suggest that frailty is important to reduce the readmission rate and number of readmissions of the acute HF patients. (C) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页码:102 / 109
页数:8
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