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.

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.

Time to full enteral feeding and its predictors among very low birth weight (VLBW) neonates admitted to the neonatal intensive care units (NICU) in comprehensive specialized hospitals in Northwest Ethiopia.

BACKGROUND: Time to full enteral feeding is the time when neonates start to receive all of their prescribed nutrition as milk feeds. Delayed to achieve full enteral feeding had resulted in short- and long-term physical and neurological sequelae. However, there are limited studies to assess the time to full enteral feeding and its predictors among very low birth-weight neonates in Ethiopia. Therefore, this study aimed to assess the time to full enteral feeding and its predictors among very low birth-weight neonates admitted to comprehensive specialized hospitals in Northwest Ethiopia. METHODS: A multi-center institutional-based retrospective follow-up study was conducted among 409 VLBW neonates from March 1, 2019 to February 30, 2023. A simple random sampling method was used to select study participants. Data were entered into EpiData version 4.2 and then exported into STATA version 16 for analysis. The Kaplan-Meier survival curve together with the log-rank test was fitted to test for the presence of differences among groups. Proportional hazard assumptions were checked using a global test. Variables having a p- value < 0.25 in the bivariable Cox-proportional hazard model were candidates for multivariable analysis. An adjusted Hazard Ratio (AHR) with 95% Confidence Intervals (CI) was computed to report the strength of association, and variables having a P-value < 0.05 at the 95% confidence interval were considered statistically significant predictor variables. RESULT: The median time to full enteral feeding was 10 (CI: 10-11) days. Very Low Birth-Weight (VLBW) neonates who received a formula feeding (AHR: 0.71, 95% CI: 0.53, 0.96), gestational age of 32-37 weeks (AHR: 1.66, 95% CI: 1.23, 2.23), without Necrotizing Enterocolitis (NEC) (AHR: 2.16, 95% CI: 1.65, 2.84), and single birth outcome (AHR: 1.42, 95% CI: 1.07, 1.88) were statistically significant variables with time to full enteral feeding. CONCLUSION AND RECOMMENDATIONS: This study found that the median time to full enteral feeding was high. Type of feeding, Necrotizing Enterocolitis (NEC), Gestational Age (GA) at birth, and birth outcome were predictor variables. Special attention and follow-up are needed for those VLBW neonates with NEC, had a GA of less than 32 weeks, and had multiple birth outcomes.

Magnitude and associated factors of postoperative mortality among patients who underwent surgery in Ethiopia: systematic review and meta-analysis.

Background: Postoperative mortality is one of the six surgical indicators identified by the Lancet Commission on Global Surgery for monitoring access to high-quality surgical care. This study aimed to assess the magnitude and associated factors of postoperative mortality among patients who underwent surgery in Ethiopia. Methods: This systematic review and meta-analysis were conducted based on the Preferred Reporting Items for Systematic Review and Meta-analysis guidelines. Ten studies were included in this Systematic review and meta-analysis. The risk of bias for each study was assessed using the Joanna Briggs Institute quality appraisal scale. Publication bias was checked using a funnel plot and Egger's regression test. Heterogeneity across studies was assessed by I2 statistics. STATA version 17 software was used for analysis. A random effect model and the DerSimonian-Laird method of estimation was used to estimate the pooled magnitude of postoperative mortality. Odds ratios with 95% CIs were calculated to determine the associations of the identified factors with postoperative mortality. Results: The results revealed that the pooled magnitude of postoperative mortality among patients who underwent surgery in Ethiopia was 4.53% (95% CI :3.70-5.37). An American Society of Anesthesiologists score greater than or equal to III [adjusted odds ratio (AOR): 2.45, 95% CI: 2.02, 2.96], age older than or equal to 65 years (AOR: 3.03, 95% CI: 2.78, 3.31), and comorbidity (AOR: 3.28, 95% CI: 1.91, 5.63) were significantly associated with postoperative mortality. Conclusion and recommendations: The pooled magnitude of postoperative mortality among patients who underwent surgery in Ethiopia was high. The presence of comorbidities, age older than 65 years, and ASA physical status greater than III were significantly associated with postoperative mortality. Therefore, the Ministry of Health and other concerned bodies should consider quality improvement processes.

Incidence and predictors of neonatal seizures among neonates admitted in Debre Markos Comprehensive Specialized Hospital, Northwest Ethiopia. A prospective follow-up study.

Introduction: Neonatal seizures are the most common neurological problem among newborns. To date, scientific studies on the incidence and predictors of neonatal seizures in African countries, including Ethiopia are scarce. Therefore, this study aimed to assess the incidence and predictors of neonatal seizures among neonates admitted to Debre Markos comprehensive Specialized Hospital. Methods: An institutional-based prospective follow-up study was conducted in Debre Markos comprehensive specialized hospital from February 1, 2022 to January 30, 2023. A systematic random sampling technique was used to select a total of 198 neonates. Data were entered into Epi-Data 4.2 and then exported to STATA version 14.1 for analysis. The Kaplan-Meier survival curve and the log-rank test were computed to explore the descriptive statistics. Variables with a p-value ≤0.2 in bi-variable Cox-regression were selected for multivariable Cox-regression analysis. Finally, a p-value of <0.05 was used to declare the statistical significance of the association with the outcome variable. Results: The overall incidence rate of neonatal seizures was 35 per 1000 person-day observations. The mean follow-up time for this study was 123.4 h. The cumulative survival probability of neonates' at 0 to 24 and 0-72 h was 89.8 % and 81.71 %, respectively. The statistically significant predictors for the incidence of neonatal seizures were perinatal asphyxia (AHR = 10.95; 95%CI: 4.81, 24.93), subgaleal hemorrhage (AHR = 5.17; 95%CI: 2.09, 12.79), and gestational age <37 weeks (AHR = 4.62; 95%CI: 1.62, 13.22). Conclusions: The incidence rate of neonatal seizures in this study was high. Neonates born with gestational age <37 weeks, having perinatal asphyxia, and having subgaleal hemorrhage were statistical predictors for the incidence of neonatal seizures. Thus, healthcare professionals should give special attention to neonates born with gestational age <37 weeks, prevent perinatal asphyxia and subgaleal hemorrhage.

Time to death and its predictors among adult patients on mechanical ventilation admitted to intensive care units in West Amhara comprehensive specialized hospitals, Ethiopia: a retrospective follow-up study.

INTRODUCTION: Mechanical ventilation is the most common intervention for patients with respiratory failure in the intensive care unit. There is limited data from African countries, including Ethiopia on time to death and its predictors among patients on mechanical ventilators. Therefore, this study aimed to assess time to death and its predictors among adult patients on mechanical ventilation admitted in comprehensive specialized hospitals in West Amhara, Ethiopia. METHODS: An institutional-based retrospective follow-up study was conducted from January 1, 2020, to December 31, 2022. A simple random sampling was used to select a total of 391 patients' charts. Data were collected using data the extraction tool, entered into Epi-data version 4.6.0, and exported to STATA version 14 for analysis. Kaplan-Meier failure curve and the log-rank test were fitted to explore the survival difference among groups. The Cox regression model was fitted, and variables with a p-value < 0.25 in the bivariable Cox regression were candidates for the multivariable analysis. In the multivariable Cox proportional hazard regression, an adjusted hazard ratio with 95% confidence intervals were reported to declare the strength of association between mortality and predictors when a p value is < 0.05. RESULTS: A total of 391 mechanically ventilated patients were followed for 4098 days at risk. The overall mortality of patients on mechanical ventilation admitted to the intensive care units was 62.2%, with a median time to death of 16 days (95% CI: 11, 22). Those patients who underwent tracheostomy procedure (AHR = 0.40, 95% CI: 0.20, 0.80), received cardio-pulmonary resuscitation (AHR = 8.78, 95% CI: 5.38, 14.35), being hypotensive (AHR = 2.96, 95% CI: 1.11, 7.87), and had a respiratory rate less than 12 (AHR = 2.74, 95% CI: 1.48, 5.07) were statistically significant predictors of time to death among mechanically ventilated patients. CONCLUSION: The mortality rate of patients on mechanical ventilation was found to be high and the time to death was short. Being cardiopulmonary resuscitated, hypotensive, and had lower respiratory rate were significant predictors of time to death, whereas patients who underwent tracheostomy was negatively associated with time to death. Tracheostomy is needed for patients who received longer mechanical ventilation, and healthcare providers should give a special attention for patients who are cardiopulmonary resuscitated, hypotensive, and have lower respiratory rate.

Incidence and predictors of mortality among traumatic brain injury patients admitted to Amhara region Comprehensive Specialized Hospitals, northwest Ethiopia, 2022.

INTRODUCTION: Traumatic brain injury is a substantial cause of mortality and morbidity with a higher burden in low and middle-income countries due to healthcare systems that are unable to deliver effectively the acute and long-term care the patients require. Besides its burden, there is little information on traumatic brain injury-related mortality in Ethiopia, especially in the region. Therefore, this study aimed to assess the incidence and predictors of mortality among traumatic brain injury patients admitted to comprehensive specialized hospitals in the Amhara region, northwest Ethiopia, 2022. METHODS: An institution-based retrospective follow-up study was conducted among 544 traumatic brain injury patients admitted from January 1, 2021, to December 31, 2021. A simple random sampling method was used. Data were extracted using a pre-tested and structured data abstraction sheet. Data were entered, coded, and cleaned into EPi-info version 7.2.0.1 software and exported to STATA version 14.1 for analysis. The Weibull regression model was fitted to determine the association between time to death and covariates. Variables with a P-value < 0.05 were declared statistically significant. RESULTS: The overall incidence of mortality among traumatic brain injury patients was 1.23 per 100 person-day observation [95% (CI: 1.0, 1.5)] with a median survival time of 106 (95% CI: 60, 121) days. Age [AHR: 1.08 (95% CI; 1.06, 1.1)], severe traumatic brain injury [AHR: 10 (95% CI; 3.55, 28.2)], moderate traumatic brain injury [AHR: 9.2 (95% CI 2.97, 29)], hypotension [AHR: 6.9 (95% CI; 2.8, 17.1)], coagulopathy [AHR: 2.55 (95% CI: 1.27, 5.1)], hyperthermia [AHR: 2.79 (95% CI; 1.4, 5.5)], and hyperglycemia [AHR: 2.28 (95% CI; 1.13, 4.6)] were positively associated with mortality while undergoing neurosurgery were negatively associated with mortality [AHR: 0.47 (95% CI; 0.27-0 0.82)]. CONCLUSION: The overall incidence of mortality was found to be high. Age, severe and moderate traumatic brain injury, hypotension at admission, coagulopathy, presence of associated aspiration pneumonia, undergoing a neurosurgical procedure, episode of hyperthermia, and hyperglycemia during hospitalization were the independent predictors of time to death. Therefore, interventions to reduce mortality should focus on the prevention of primary injury and secondary brain injury.

Prolonged length of stay and its associated factors at adult emergency department in amhara region comprehensive specialized hospitals, northwest Ethiopia.

BACKGROUND: Prolonged length of stay at the emergency department interferes with the main goal of emergency care and results in adverse patient outcomes like nosocomial infection, dissatisfaction, morbidity, and mortality. Despite this, little is known about the length of stay and the factors that influence it in Ethiopia's emergency department. METHODS: An institution-based cross-sectional study was conducted on 495 patients admitted at Amhara region comprehensive specialized hospitals emergency department from May 14 to June 15/2022. A systematic random sampling was employed to select study participants. A pretested structured interview-based questionnaire was used to collect data by using Kobo toolbox software. SPSS version 25 was used for data analysis. Bi-variable logistic regression analysis was carried out to select variables with P-value < 0.25. The significance of association was interpreted using an Adjusted Odds Ratio with a 95% confidence interval. Variables with P-value < 0.05 in the multivariable logistic regression analysis were inferred to be significantly associated with length of stay. RESULT: Out of 512 enrolled participants, 495 were participated with a response rate of 96.7%. The prevalence of prolonged length of stay in the adult emergency department was 46.5% (95%CI: 42.1, 51.1). Lack of insurance (AOR: 2.11; 95% CI: 1.22, 3.65), non-communicative presentation (AOR: 1.98; 95% CI: 1.07, 3.68), delayed consultation (AOR: 9.5; 95% CI: 5.00, 18.03), overcrowding (AOR: 4.98; 95% CI: 2.13, 11.68), and shift change experience (AOR: 3.67; 95% CI: 1.30, 10.37) were significantly associated with prolonged length of stay. CONCLUSION: The result of this study is found to be high based on Ethiopian target emergency department patient length of stay. Lack of insurance, presentation without communication, delayed consultation, overcrowding, and shift change experience were significant factors for prolonged emergency department length of stay. Therefore, interventions like expansion of organizational setup are needed to decrease the length of stay to an acceptable level.

Incidence and predictors of mortality among adult trauma patients admitted to the intensive care units of comprehensive specialized hospitals in Northwest Ethiopia.

BACKGROUND: Trauma is the leading cause of morbidity and mortality among adult population in the world. Despite many improvements in technology and care, mortality among trauma patients in the intensive care unit is still high particularly in Ethiopia. However, there is limited evidence on the incidence and predictors of mortality among trauma patients in Ethiopia. Therefore, this study aimed to assess the incidence and predictors of mortality among adult trauma patients admitted to intensive care units. METHODS: Institutional-based retrospective follow-up study was conducted from January 9, 2019 to January 8, 2022. A total of 421 samples were chosen using simple random sampling. Data were collected with Kobo toolbox software and exported to STATA version 14.1 software for data analysis. Kaplan-Meier failure curve and log-rank test were fitted to explore the survival difference among groups. After the bivariable and multivariable Cox regression analysis, an Adjusted Hazard Ratio (AHR) with 95% Confidence Intervals (CI) was reported to declare the strength of association and statistical significance, respectively. RESULT: The overall incidence rate of mortality was 5.47 per 100 person-day observation with a median survival time of 14 days. Did not get pre-hospital care (AHR = 2.00, 95%CI 1.13, 3.53), Glasgow Coma Scale (GCS) score < 9 (AHR = 3.89, 95%CI 1.67, 9.06), presence of complications (AHR = 3.71, 95%CI 1.29, 10.64), hypothermia at admission (AHR = 2.11, 95%CI 1.13, 3.93) and hypotension at admission (AHR = 1.93, 95%CI 1.01, 3.66) were found significant predictors of mortality among trauma patients. CONCLUSION: The incidence rate of mortality among trauma patients in the ICU was high. Did not get pre-hospital care, GCS < 9, presence of complications, hypothermia, and hypotension at admission were significant predictors of mortality. Therefore, healthcare providers should give special attention to trauma patients with low GCS scores, complications, hypotension, and hypothermia and better to strengthen pre-hospital services to reduce the incidence of mortality.