Literature DB >> 26874391

Complementary Role of Arm Circumference to Body Mass Index in Risk Stratification in Heart Failure.

Kentaro Kamiya1, Takashi Masuda2, Yuya Matsue3, Takayuki Inomata4, Nobuaki Hamazaki5, Ryota Matsuzawa6, Shinya Tanaka7, Kohei Nozaki6, Emi Maekawa4, Chiharu Noda4, Minako Yamaoka-Tojo2, Atsuhiko Matsunaga2, Tohru Izumi4, Junya Ako4.   

Abstract

OBJECTIVES: This study was performed to investigate the complementary role of arm circumference to body mass index (BMI) in risk stratification of patients with heart failure (HF).
BACKGROUND: High BMI is associated with improved survival in patients with HF. However, it does not discriminate between fat and lean muscle as a predominant factor.
METHODS: BMI, waist circumference (WC), and mid-upper arm circumference (MUAC) were evaluated in 570 consecutive Japanese patients with HF (mean age 67.4 ± 14.0 years). Patients were stratified into low and high groups according to BMI, WC, and MUAC and combined into low- or high-BMI and low- or high-WC groups or low- or high-BMI and low- or high-MUAC groups. The endpoint was all-cause mortality.
RESULTS: Seventy deaths occurred over a median follow-up period of 1.5 years (interquartile range: 0.7 to 2.8 years). After adjusting for several pre-existing prognostic factors, including Seattle Heart Failure Score and exercise capacity, BMI (hazard ratio [HR]: 0.68; p = 0.016), WC (HR: 0.76; p = 0.044), and MUAC (HR: 0.52; p < 0.001) were all inversely associated with prognosis. Compared with the high-BMI/high-WC group, both the low-BMI/high-WC and low-BMI/low-WC groups showed comparably poorer prognosis. However, the low-BMI/low-MUAC group but not the low-BMI/high-MUAC group showed poorer prognosis than the high-BMI/high-MUAC group. Adding MUAC to BMI (0.70 vs. 0.63, p = 0.012) but not WC to BMI (0.64 vs. 0.63, p = 0.763) significantly increased the area under the curve on receiver-operating characteristic curve analysis.
CONCLUSIONS: MUAC, but not WC, plays a complementary role to BMI in predicting prognosis in patients with HF.
Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  arm circumference; heart failure; obesity paradox; waist circumference

Mesh:

Year:  2016        PMID: 26874391     DOI: 10.1016/j.jchf.2015.11.010

Source DB:  PubMed          Journal:  JACC Heart Fail        ISSN: 2213-1779            Impact factor:   12.035


  15 in total

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8.  Association between mid-upper arm circumference and cardiometabolic risk in Chinese population: a cross-sectional study.

Authors:  Yanan Hou; Xu Jia; Liping Xuan; Wen Zhu; Chanjuan Deng; Long Wang; Zhiyun Zhao; Mian Li; Jieli Lu; Yu Xu; Yuhong Chen; Weiqing Wang; Yufang Bi; Min Xu; Tiange Wang
Journal:  BMJ Open       Date:  2019-09-08       Impact factor: 2.692

9.  Post-intensive care syndrome as a predictor of mortality in patients with critical illness: A cohort study.

Authors:  Naoya Yanagi; Kentaro Kamiya; Nobuaki Hamazaki; Ryota Matsuzawa; Kohei Nozaki; Takafumi Ichikawa; Thomas S Valley; Takeshi Nakamura; Masashi Yamashita; Emi Maekawa; Tomotaka Koike; Minako Yamaoka-Tojo; Masayasu Arai; Atsuhiko Matsunaga; Junya Ako
Journal:  PLoS One       Date:  2021-03-10       Impact factor: 3.240

10.  Associations of body shapes with insulin resistance and cardiometabolic risk in middle-aged and elderly Chinese.

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Journal:  Nutr Metab (Lond)       Date:  2021-12-07       Impact factor: 4.169

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