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Incidence of extubation failure and its predictors among adult patients in intensive care unit of low-resource setting: A prospective observational study

Natnael Kifle, Dereje Zewdu, Bisrat Abebe, Temesgen Tantu, Mekete Wondwosen, Yirgalem Hailu, Girma Bekele, Meron Woldetensay

2022PLoS ONE15 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Previous studies have found an association between various predictors and extubation failure (EF) in intensive care units (ICUs). However, this problem remains unexplored in low-resource settings, where predicting the extubation outcomes are more challenging. This study investigates the incidence of EF and its predictors among patients who received mechanical ventilation (MV). METHODS: This is a prospective observational study of 123 patients' ≥ 18 years of age receiving MV for ≥ 48 hours and tolerated spontaneous breathing trials (SBTs) in the ICU of a low-resource setting. We collected data on the baseline characteristics and clinical profiles before and after SBTs. Patients were categorized into extubation failure (EF) and extubation success (ES) groups. Multivariate logistic regression analyses were performed to identify independent predictors for EF. A p-value < 0.05 is considered statistically significant. RESULTS: We included 123 patients, and 42 (34.15%) had developed EF. The identified predictors for EF: Moderate to copious secretions (adjusted odds ratio [AOR]: 3.483 [95% confidence interval [CI] 1.10-11.4]), age > 60 years of age ([AOR]: 4.157 [95% CI 1.38-12.48]), and prolonged duration of MV ≥ 10 days ([AOR]: 4.77 [95% CI 1.55-14.66]). CONCLUSION: Moderate to copious secretions, patients > 60 years of age, and prolonged duration of MV ≥ 10 days were the best predictors of EF. Based on our findings, we recommend that the identified predictors could help in the decision-making process of extubation from MV.

Topics & Concepts

Observational studyIncidence (geometry)Intensive care unitMedicineIntensive care medicineEmergency medicineProspective cohort studyInternal medicinePhysicsOpticsRespiratory Support and MechanismsIntensive Care Unit Cognitive DisordersHealthcare Decision-Making and Restraints