Pre-hospital frailty and hospital outcomes in adults with acute respiratory failure requiring mechanical ventilation

J Crit Care. 2018 Apr:44:212-216. doi: 10.1016/j.jcrc.2017.11.017. Epub 2017 Nov 11.

Abstract

Purpose: We aimed to estimate the independent effect of pre-hospital frailty (PHF) on hospital mortality and prolonged hospital length of stay (pLOS) while adjusting for other patient level factors.

Methods: This is a cohort study of hospitalized adults with acute respiratory failure (ARF) who required invasive mechanical ventilation for ≥24h in 2013. We used inpatient/outpatient claims from a list of diagnoses from the year before index hospital admission to define PHF. Differences in characteristics/outcomes by PHF were explored using descriptive statistics; multivariable logistic regression was used to estimate association between PHF and hospital outcomes.

Results: Among 1157 patients (mean age (standard deviation) 67.1 [16.4]), 53.2% had PHF. PHF was independently associated with higher hospital mortality (44.2% in PHF patients vs. 34.6% in those without, adjusted Odds Ratio (aOR) (95% Confidence Interval [CI] 1.56 (1.19-2.05), p<0.001). PHF was also significantly associated with pLOS in hospital survivors (55.5% PHF patients had pLOS versus 34.2% in those without, aOR (95% CI) 2.61 (1.87-3.65), p<0.001).

Conclusions: PHF, identified by frailty diagnoses from before index hospitalization, may be a useful approach for identifying adults with ARF at increased risk of hospital mortality and pLOS.

Keywords: Acute respiratory failure; Frailty; Hospital length-of-stay; Hospital mortality.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Female
  • Frailty*
  • Geriatric Assessment
  • Health Services for the Aged
  • Hospital Mortality
  • Humans
  • Length of Stay*
  • Middle Aged
  • New York City
  • Respiration, Artificial*
  • Respiratory Insufficiency / mortality
  • Respiratory Insufficiency / therapy*
  • Retrospective Studies
  • Survival Analysis