Red blood cell distribution width is associated with frailty in older inpatients in China: Sex differences in a cross-sectional study

Exp Gerontol. 2021 Jul 15:150:111392. doi: 10.1016/j.exger.2021.111392. Epub 2021 May 6.

Abstract

Aims: Although some studies have investigated an association between inflammatory marker and frailty, little is known about the relationship of red blood cell volume distribution width (RDW) and frailty. This study aimed to determine whether there were sex-specific associations of RDW and frailty among older hospitalized patients.

Methods: A cross-sectional study was conducted in a comprehensive tertiary hospital in mainland China between February 2015 and November 2017. Hospitalized patients aged 60 years and above were included. Frailty was defined according to Fried's frailty phenotype. Data on patients' demographics, clinical characteristics, and inflammatory markers were collected. The association was evaluated by using the linear and logistic regression modeling.

Results: The frailty prevalence was 26.65% (89/334) in men and 28.07% (80/285) in women. After adjusting for all covariates, patients in the 4th RDW quartile exhibited an increased risk of frailty compared with those of the 1st RDW quartile [men: odds ratio (OR) = 2.26; 95%CI = 1.01, 5.07; women: OR = 6.29; 95%CI = 2.11, 18.71]. P for trend were < 0.05 for all models.

Conclusions: An increased RDW among older inpatients was more strongly associated with a corresponding increased risk of frailty in women than in men. Our findings suggest that there were sex differences in the association between elevated RDW levels and frailty among older inpatients. These results may provide support for the intervention decision-making.

Keywords: Frailty; Older inpatients; Red blood cell distribution width; Sex differences.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • China / epidemiology
  • Cross-Sectional Studies
  • Erythrocyte Indices
  • Erythrocytes
  • Female
  • Frailty* / epidemiology
  • Humans
  • Inpatients
  • Male
  • Sex Characteristics