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Background: Tracheostomy is used for patients who require prolonged mechanical ventilation. Extensive research has described the provision and optimal timing of tracheostomy, but very little describes tracheostomy utilization in low- and middle-income countries, particularly in sub-Saharan Africa. Methods: This prospective cohort study describes patients admitted to the intensive care unit (ICU) of a tertiary hospital in Malawi who received tracheostomy versus those who did not, with a primary outcome of hospital mortality. We performed subgroup analysis of patients with severe head injuries. Results: The analysis included 451 patients admitted to the study ICU between September 2016 and July 2018. Overall hospital mortality was 40% for patients who received tracheostomy and 63% for patients who did not. Logistic regression modeling revealed an odds ratio (OR) of 0.34 (95% CI 0.18–0.64) for hospital mortality among patients who received tracheostomy versus those who did not (p < 0.001). Standardized mortality ratio weighting revealed an odds ratio of 0.81 (95% CI 0.65–0.99, p < 0.001) for hospital death among patients who received tracheostomy versus those who did not. In the subgroup excluding severe head injury, both ICU (50%) and hospital mortality (75%) were higher overall, but hospital mortality was not more common for patients with tracheostomy versus without (OR 1.28, 95% CI 0.94–1.74, p = 0.104). Conclusions: Tracheostomy is not associated with hospital mortality in a Malawi ICU cohort, but these results are affected by the presence of head injury. Research may focus on home tracheostomy care given the lack of hospital discharge options for patients in austere settings. [ABSTRACT FROM AUTHOR]

Background: Anemia is associated with intensive care unit (ICU) outcomes, but data describing this association in sub-Saharan Africa are scarce. Patients in this region are at risk for anemia due to endemic conditions like malaria and because transfusion services are limited.Methods: This was a prospective cohort study of ICU patients at Kamuzu Central Hospital (KCH) in Malawi. Exclusion criteria included age <5 years, pregnancy, ICU readmission, or admission for head injury. Cumulative incidence functions and Fine-Gray competing risk models were used to evaluate hemoglobin (Hgb) at ICU admission and hospital mortality.Results: Of 499 patients admitted to ICU, 359 were included. The median age was 28 years (interquartile ranges (IQRs) 20-40) and 37.5% were men. Median Hgb at ICU admission was 9.9 g/dL (IQR 7.5-11.4 g/dL; range 1.8-18.1 g/dL). There were 61 (19%) patients with Hgb < 7.0 g/dL, 59 (19%) with Hgb 7.0-8.9 g/dL, and 195 (62%) with Hgb ≥ 9.0 g/dL. Hospital mortality was 51%, 59%, and 54%, respectively. In adjusted analyses, anemia was associated with hospital mortality but was not statistically significant.Conclusions: This study provides preliminary evidence that anemia at ICU admission may be an independent predictor of hospital mortality in Malawi. Larger studies are needed to confirm this association. [ABSTRACT FROM AUTHOR]

Introduction: In high-income countries (HICs), the intensive care unit (ICU) bed density is approximately 20-32 beds/100 000 population compared with countries in sub-Saharan Africa, like Malawi, with an ICU bed density of 0.1 beds/100 000 population. We hypothesize that the ICU bed utilization in Malawi will be high.Methods: This is an observational study at a tertiary care center in Malawi from August 2016 to May 2018. Variables used to evaluate ICU bed utilization include ICU length of stay (LOS), bed occupancy rates (average daily ICU census/number of ICU beds), bed turnover (total number of admissions/number of ICU beds), and turnover intervals (number of ICU bed days/total number of admissions - average ICU LOS).Results: 494 patients were admitted to the ICU during the study period. The average LOS during the study period was 4.8 ± 6.0 days. Traumatic brain injury patients had the most extended LOS (8.7 ± 6.8 days) with a 49.5% ICU mortality. The bed occupancy rate per year was 74.7%. The calculated bed turnover was 56.5 persons treated per bed per year. The average turnover interval, defined as the number of days for a vacant bed to be occupied by the successive patient admission, was 1.63 days.Conclusion: Despite the high burden of critical illness, the bed occupancy rates, turn over days, and turnover interval reveal significant underutilization of the available ICU beds. ICU bed underutilization may be attributable to the absence of an admission and discharge protocols. A lack of brain death policy further impedes appropriate ICU utilization. [ABSTRACT FROM AUTHOR]

Background: Critical illness disproportionately affects people in low-income countries (LICs). Efforts to improve critical care in LICs must account for differences in demographics and infrastructure compared to high-income settings. Part of this effort includes the development and validation of intensive care unit (ICU) risk stratification models feasible for use in LICs. The purpose of this study was to validate and compare the performance of ICU mortality models developed for use in sub-Saharan Africa. Materials and Methods: This was a prospective, observational cohort study of ICU patients in a referral hospital in Malawi. Models were selected for comparison based on a Medline search for studies which developed ICU mortality models based on cohorts in sub-Saharan Africa. Model discrimination was evaluated using the area under the curve with 95% confidence intervals (CI). Results: During the study, 499 patients were admitted to the study ICU, and after exclusions, there were 319 patients. The cohort was 62% female, with the mean age 31 years (IQR: 23-41), and 74% had surgery preceding ICU admission. Discrimination for hospital mortality ranged from 0.54 (95% CI 0.48, 0.60) for the Universal Vital Assessment (UVA) to 0.72 (95% CI 0.66, 0.78) for the Malawi Intensive care Mortality Evaluation (MIME). After tenfold cross-validation, these results were unchanged. Conclusions: The MIME outperformed other models in this prospective study. Most ICU models developed for LICs had poor to modest discrimination for hospital mortality. Future research may contribute to a better risk stratification model for LICs by refining and enhancing the MIME. [ABSTRACT FROM AUTHOR]