The Association Between Frailty Evaluated by Clinical Frailty Scale and Mortality of Older Patients in the Emergency Department: A Prospective Cohort Study

Clin Interv Aging. 2024 Jul 25:19:1383-1392. doi: 10.2147/CIA.S472991. eCollection 2024.

Abstract

Background: Frailty epitomizes the most complex consequence of an aging population. This study aimed to evaluate the impact of frailty, measured using the Clinical Frailty Scale (CFS), on outcomes of older people in an emergency department (ED).

Methods: We conducted a prospective observational study enrolling patients aged 65 years and older in a medical center of Taiwan between March 8, 2021, and November 30, 2021. The primary outcome was 90-day mortality rate. Individuals were categorized into three groups based on the CFS scores. Logistic regression was employed to examine the influence of frailty on clinical outcomes following covariate adjustment. Survival analysis was conducted using Kaplan-Meier curves and Log rank tests.

Results: A total of 473 individuals were included in the study, with a mean age of 82.1 years, and 60.5% of them were males. The 90-day mortality rate was 10.6%. Among these groups, the CFS score 7-9 group had the highest 90-day mortality rate (15.9%), followed by the CFS score 4-6 group (8.0%) and the CFS score 1-3 group (7.1%). The multiple logistic regression analyses demonstrated a significant impact of CFS score on prognosis, with adjusted odd ratios of 1.24 (95% CI 1.06-1.47) for 90-day mortality, 1.18 (95% CI 1.06-1.31) for hospitalization, and 1.30 (95% CI 1.12-1.52) for 180-day mortality. The Kaplan-Meier curves revealed a significantly higher 90-day mortality rate for patients with high CFS scores (Log rank tests, p = 0.019).

Conclusion: In the older ED population, the severity of frailty assessed by the CFS emerged as a significant and important prognostic factor for hospitalization, 90-day mortality, and 180-day mortality.

Keywords: emergency service; frailty; hospital; mortality; triage.

Publication types

  • Observational Study

MeSH terms

  • Aged
  • Aged, 80 and over
  • Emergency Service, Hospital* / statistics & numerical data
  • Female
  • Frail Elderly* / statistics & numerical data
  • Frailty* / mortality
  • Geriatric Assessment* / methods
  • Hospital Mortality
  • Humans
  • Kaplan-Meier Estimate
  • Logistic Models
  • Male
  • Prognosis
  • Prospective Studies
  • Survival Analysis
  • Taiwan / epidemiology

Grants and funding

This work was supported by the Ministry of Science and Technology, Taiwan (MOST107-2314-B-075-053 and MOST108-2314-B-075-034), intramural grants from Taipei Veterans General Hospital, Taiwan (107VACS-002, 108VACS-002, 109VACS-002, 110VACS-009, 111VACS-009, 112VACS-009, V113C-218) and the Yin Shu-Tien Foundation Taipei Veterans General Hospital-National Yang Ming Chiao Tung University Excellent Physician Scientists Cultivation Program (No. 113-V-B-045).