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. 2024 May 30:11:1366403.
doi: 10.3389/fmed.2024.1366403. eCollection 2024.

Prolonged time to recovery and its predictors among trauma patients admitted to the intensive care units in comprehensive specialized hospitals in Northwest Ethiopia: a multicenter retrospective follow-up study, 2022

Affiliations

Prolonged time to recovery and its predictors among trauma patients admitted to the intensive care units in comprehensive specialized hospitals in Northwest Ethiopia: a multicenter retrospective follow-up study, 2022

Mengistu Abebe Messelu et al. Front Med (Lausanne). .

Abstract

Introduction: A prolonged time to recovery in the intensive care units has adverse effects on both the patients and the healthcare providers. However, there is limited evidence in African countries, including Ethiopia. Therefore, this study aimed to assess the time to recovery and its predictors among trauma patients admitted to intensive care units.

Methods: An institutional-based retrospective follow-up study was conducted on trauma patients hospitalized in intensive care units between 9 January 2019 and 8 January 2022. The charts of 450 patients were chosen using a simple random sampling technique. Data collection was conducted using smartphones and tablets. The data were then exported into STATA version 16 for analysis. The log-rank test and the Kaplan-Meier survival curve were fitted for analysis. An adjusted hazard ratio with 95% confidence intervals was reported to declare the strength of association between time to recovery and predictors in the multivariable Weibull regression analysis.

Results: The overall incidence density rate of recovery was 6.53 per 100 person-day observations, with a median time to recovery of 10 days. Significant predictors of time to recovery included being on mechanical ventilation (AHR = 0.47, 95% CI: 0.34, 0.64), having a Glasgow Coma Scale (GCS) score between 9-12 and 13-15 (AHR = 1.58, 95% CI: 1.01, 2.47, and AHR = 1.66, 95% CI: 1.09, 2.53, respectively), experiencing polytrauma (AHR = 0.55, 95% CI: 0.39, 0.78), and having complications (AHR = 0.43, 95% CI: 0.31, 0.59).

Conclusion and recommendations: The incidence rate of recovery for trauma patients is lower than the national standard, and the median time to recovery is longer. Being on mechanical ventilation, mild and moderate GCS scores, polytrauma, and the presence of complications were significantly associated with prolonged time to recovery. Therefore, special attention has to be given to trauma patients who had polytrauma, complications, received mechanical ventilation, and had a lower GCS score.

Keywords: Weibull regression; predictors; recovery; survival; trauma.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Kaplan–Meier survival curve for trauma patients admitted in the ICU in Northwest Amhara comprehensive specialized hospitals in the Amhara region, Northwest Ethiopia, 2022.
Figure 2
Figure 2
Kaplan–Meier survival curve by GCS score for trauma patients admitted in the ICU comprehensive specialized hospitals in the Amhara region, 2022.
Figure 3
Figure 3
Kaplan–Meier survival curve by polytrauma for trauma patients admitted in the ICU comprehensive specialized hospitals in the Amhara region, 2022.
Figure 4
Figure 4
Kaplan–Meier survival curve by MV for trauma patients admitted in the ICU comprehensive specialized hospitals in the Amhara region, 2022.
Figure 5
Figure 5
Kaplan–Meier survival curve by the presence of complications for trauma patients admitted in the ICU comprehensive specialized hospitals in the Amhara region, 2022.
Figure 6
Figure 6
Nelson–Aalen cumulative hazard graph against Cox-Snell residual on trauma patients admitted in the ICU at comprehensive specialized hospitals in Northwest Amhara, 2022.

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