Time to recovery and its predictors among critically ill patients on mechanical ventilation from intensive care unit in Ethiopia: a retrospective follow up study

Dublin Core

Title

Time to recovery and its predictors among critically ill patients on mechanical ventilation from intensive care unit in Ethiopia: a retrospective follow up study

Subject

Artifcial respiration, Intensive care unit, Mechanical ventilation, Predictor, Recovery, Time

Description

Introduction: For critically ill patients, mechanical ventilation is considered a pillar of respiratory life support. The
mortality of victims in intensive care units is high in resource-constrained Sub-Saharan African countries. The recovery
and prognosis of mechanically ventilated victims are unknown, according to evidence. The goal of the study was to
see how long critically ill patients on mechanical ventilation survived.
Methods: A retrospective follow-up study was conducted. A total of 376 study medical charts were reviewed. Data
was collected through reviewing medical charts. Data was entered into Epi-data manager version 4.6.0.4 and analyzed
through Stata version 16. Descriptive analysis was performed. Kaplan- Meier survival estimates and log rank tests were
performed. Cox proportional hazard model was undertaken.
Results: Median recovery time was 15 days (IQR: 6–30) with a total recovery rate of 4.49 per 100 person-days. In
cox proportional hazard regression, diagnosis category {AHR: 1.690, 95% CI: (1.150- 2.485)}, oxygen saturation {AHR:
1.600, 95% CI: (1.157- 2.211)}, presence of comorbidities {AHR: 1.774, 95% CI: (1.250–2.519)}, Glasgow coma scale {AHR:
2.451, 95% CI: (1.483- 4.051)}, and use of tracheostomy {AHR: 0.276, 95% CI: (0.180–0.422)} were statistically signifcant
predictors.
Discussion: Based on the outcomes of this study, discussions with suggested possible reasons and its implications
were provided.
Conclusion and Recommendations: Duration and recovery rate of patients on mechanical ventilation is less than
expected of world health organization standard. Diagnosis category, oxygen saturation, comorbidities, Glasgow coma
scale and use of tracheostomy were statistically signifcant predictors. Mechanical ventilation durations should be
adjusted for chronic comorbidities, trauma, and use of tracheostomy

Creator

Lehulu Tilahun, Asressie Molla, Fanos Yeshanew Ayele, Aytenew Nega and Kirubel Dagnaw

Publisher

BMC Emergency Medicine

Date

(2022) 22:125

Contributor

Fajar Bagus W

Format

PDF

Language

English

Type

Text

Files

Tags

,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon , ,Repository, Repository Horizon University Indonesia, Repository Universitas Horizon Indonesia, Horizon.ac.id, Horizon University Indonesia, Universitas Horizon Indonesia, HorizonU, Repo Horizon ,

Citation

Lehulu Tilahun, Asressie Molla, Fanos Yeshanew Ayele, Aytenew Nega and Kirubel Dagnaw, “Time to recovery and its predictors among critically ill patients on mechanical ventilation from intensive care unit in Ethiopia: a retrospective follow up study,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4240.