7 research outputs found

    Obstetric admissions and outcomes in an intensive care unit in Malawi

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    Background: Despite international commitment to Millennium Development Goal 5, maternal mortality remains high in low- and middle-income countries (LMICs) of sub-Saharan Africa. This is in part due to infrastructure gaps, including availability of intensive care units (ICUs). We sought to use obstetric ICU utilization as a marker of severe maternal morbidity and provide an initial characterization of its relationship with in-hospital mortality. Methods: A prospective observational cohort study of all obstetric subjects admitted to the ICU of Kamuzu Central Hospital in Malawi from September 2016 to March 2018. We reviewed charts at the time of ICU admission to assess the indication for admission, clinical characteristics and laboratory values. Subjects were followed until death or discharge. The primary outcome was in-hospital mortality. Results: One-hundred-and-five obstetric patients were admitted to the study ICU (23% of all admissions). The median age was 26 years. The majority (79%) had undergone recent surgery; 40 (52%) an abdominal postnatal or cesarean hysterectomy and 31 (40%) a cesarean delivery without hysterectomy. Ninety-five percent required mechanical ventilation and 48% required vasopressors. Overall in-hospital mortality was 49%. Conclusions: The proportion of obstetric subjects admitted to the ICU in Malawi is nearly 1 in 4, which exceeds that found in high-income countries by orders of magnitude. Intensive care unit admission was associated with high mortality in this population. Investments in improving infrastructure and care gaps may include addressing available ICU bed and blood-banking needs, and increasing the number of providers trained in managing critical illness among obstetric patients

    Brain death in low-income countries: a report from Malawi

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    Most low-income nations have no practice guidelines for brain death; data describing brain death in these regions is absent. Our retrospective study describes the prevalence of brain death among patients treated in an intensive care unit (ICU) at a referral hospital in Malawi. The primary outcome was designation of brain death in the medical chart. Of 449 ICU patients included for analysis between September 2016 and May 2018, 43 (9.6%) were diagnosed with brain death during the ICU admission. The most common diagnostic reasons for admission among these patients were trauma (49%), malaria (16%) and postoperative monitoring after general abdominal surgery (19%). All patients diagnosed with brain death were declared dead in the hospital, after cardiac death. In conclusion, the incidence of brain death in a Malawi ICU is substantially higher than that seen in high-income ICU settings. Brain death is not treated as clinical death in Malawi

    Associations of day of week and time of day of ICU admission with hospital mortality in Malawi

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    This prospective cohort study evaluated the associations of day and time of admission to the Intensive Care Unit (ICU) with hospital mortality at a referral hospital in Malawi, a low-income country in sub-Saharan Africa. Patients admitted to the ICU during the day (08:00–16:00) were compared to those admitted at night (16:01–07:59); patients admitted on weekdays (Monday–Friday) were compared to admissions on weekends/holidays. The primary outcome was hospital mortality. Most patients were admitted during daytime (56%) and on weekdays (72%). There was no difference in mortality between night and day admissions (58% vs. 56%, P = 0.8828; hazard ratio [HR] = 1.09, 95% confidence interval [CI = 0.82–1.44, P = 0.5614) or weekend/holiday versus weekday admissions (56% vs. 57%, P = 0.9011; HR = 0.87, 95% CI = 0.62–1.21, P = 0.4133). No interaction between time and day was found. These results may be affected by high overall hospital mortality

    Development of a Malawi Intensive care Mortality risk Evaluation (MIME) model, a prospective cohort study

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    Introduction: Intensive care medicine can contribute to population health in low-income countries by reducing premature mortality related to surgery, trauma, obstetrical and other medical emergencies. Quality improvement is guided by risk stratification models, which are developed primarily within high-income settings. Models validated for use in low-income countries are needed. Methods: This prospective cohort study consisted of 261 patients admitted to the intensive care unit (ICU) of Kamuzu Central Hospital in Malawi, from September 2016 to March 2018. The primary outcome was in-hospital mortality. We performed univariable analyses on putative predictors and included those with a significance of 0.15 in the Malawi Intensive care Mortality risk Evaluation model (MIME). Model discrimination was evaluated using the area under the curve. Results: Males made up 37.9% of the study sample and the mean age was 34.4 years. A majority (73.9%) were admitted to the ICU after a recent surgical procedure, and 59% came directly from the operating theater. In-hospital mortality was 60.5%. The MIME based on age, sex, admitting service, systolic pressure, altered mental status, and fever during the ICU course had a fairly good discrimination, with an AUC of 0.70 (95% CI 0.63–0.76). Conclusions: The MIME has modest ability to predict in-hospital mortality in a Malawian ICU. Multicenter research is needed to validate the MIME and assess its clinical utility

    ICU Risk Stratification Models Feasible for Use in Sub-Saharan Africa Show Poor Discrimination in Malawi: A Prospective Cohort Study

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    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

    Prevalence, Etiology, and Outcome of Sepsis among Critically Ill Patients in Malawi

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    There are scarce data describing the etiology and clinical sequelae of sepsis in low- and middle-income countries (LMICs). This study describes the prevalence and etiology of sepsis among critically ill patients at a referral hospital in Malawi. We conducted an observational prospective cohort study of adults admitted to the intensive care unit or high-dependency unit (HDU) from January 29, 2018 to March 15, 2018. We stratified the cohort based on the prevalence of sepsis as defined in the following three ways: quick sequential organ failure assessment (qSOFA) score ≥ 2, clinical suspicion of systemic infection, and qSOFA score ≥ 2 plus suspected systemic infection. We measured clinical characteristics and blood and urine cultures for all patients; antimicrobial sensitivities were assessed for positive cultures. During the study period, 103 patients were admitted and 76 patients were analyzed. The cohort comprised 39% male, and the median age was 30 (interquartile range: 23-40) years. Eighteen (24%), 50 (66%), and 12 patients (16%) had sepsis based on the three definitions, respectively. Four blood cultures (5%) were positive, two from patients with sepsis by all three definitions and two from patients with clinically suspected infection only. All blood bacterial isolates were multidrug resistant. Of five patients with urinary tract infection, three had sepsis secondary to multidrug-resistant bacteria. Hospital mortality for patients with sepsis based on the three definitions ranged from 42% to 75% versus 12% to 26% for non-septic patients. In summary, mortality associated with sepsis at this Malawi hospital is high. Bacteremia was infrequently detected, but isolated pathogens were multidrug resistant

    The burden of surgical diseases on critical care services at a tertiary hospital in sub-Saharan Africa

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    In many developing countries including those of sub-Saharan Africa care of the critically ill is poorly developed. We therefore sought to elucidate the characteristics and outcomes of critically ill patients to better define the burden of disease and identify strategies for improving care. We conducted a cross sectional observation study of patients admitted to the intensive care unit at Kamuzu Central Hospital in 2010. Demographic, patient characteristics, clinical specialty and outcome data was collected. There were 234 patients admitted during the study period. Older age and admission from trauma, general surgery or medical services were associated with increased mortality. The lowest mortality was among obstetrical and gynecologic patients. Use of the ventilator and transfusions were not associated with increased mortality. Head injured patients had the highest mortality rate among all diagnoses. Rationing of critical care resources using admitting diagnosis or scoring tools can maximize access to critical care services in resource-limited settings. Furthermore, improvements on critical care services will be central to future efforts at reducing surgical morbidity and mortality and improving outcomes in all critically ill patients
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