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Pre-Admission Predictors of Walking Independence in Critically Ill Patients.
- Source :
- Respiratory Care; Oct2024, Vol. 69 Issue 10, p1314-1322, 9p
- Publication Year :
- 2024
-
Abstract
- BACKGROUND: Recovery of walking independence in critically ill patients is required for safe discharge home. However, the pre-admission predictors affecting this outcome in this patient group are unknown. This study aimed to identify these predictors. METHODS: We included subjects who required mechanical ventilation for at least 48 h and could walk before admission. We investigated frailty, cognitive impairment, and malnutrition risk according to the pre-admission health status. Walking independence was defined as the ability to walk for at least 45 m on level ground. The primary outcome was the association between the time to event from an ICU discharge to walking independence, and pre-admission predictors were analyzed using a Fine-Gray proportional hazards regression. RESULTS: The rate of walking independence was 38.0 (100 cases/person-month; sample N = 144). In the proportional hazards regression model, adjusted for covariates, frailty (hazard ratio [HR] 0.08 [95% CI 0.01-0.67]), pre-frailty (HR 0.37 [95% CI 0.14-0.99]), cognitive impairment (HR 0.21 [95% CI 0.05-0.90]), and malnutrition risk (HR 0.20 [95% CI 0.07-0.58]) were associated with walking independence. CONCLUSIONS: Pre-admission frailty or pre-frailty, cognitive impairment, and malnutrition risk can help predict walking independence in critically ill patients who require mechanical ventilation. [ABSTRACT FROM AUTHOR]
- Subjects :
- CRITICALLY ill
PATIENTS
MALNUTRITION
RESEARCH funding
ACADEMIC medical centers
T-test (Statistics)
HOSPITAL care
FUNCTIONAL assessment
HOSPITAL admission & discharge
FRAIL elderly
SCIENTIFIC observation
DISCHARGE planning
MANN Whitney U Test
CHI-squared test
MULTIVARIATE analysis
DESCRIPTIVE statistics
WALKING
ROUTINE diagnostic tests
LONGITUDINAL method
ARTIFICIAL respiration
INTENSIVE care units
COGNITION disorders
STATISTICS
CONFIDENCE intervals
DATA analysis software
PROPORTIONAL hazards models
APACHE (Disease classification system)
DISEASE risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 00201324
- Volume :
- 69
- Issue :
- 10
- Database :
- Supplemental Index
- Journal :
- Respiratory Care
- Publication Type :
- Academic Journal
- Accession number :
- 180048439
- Full Text :
- https://doi.org/10.4187/respcare.11777