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Diagnosis-specific mortality is a measure of pediatric healthcare quality that has been incompletely studied in sub-Saharan African hospitals. Identifying the mortality rates of multiple conditions at the same hospital may allow leaders to better target areas for intervention. In this secondary analysis of routinely collected data, we investigated hospital mortality by admission diagnosis in children aged 1-60 months admitted to a tertiary care government referral hospital in Malawi between October 2017 and June 2020. The mortality rate by diagnosis was calculated as the number of deaths among children admitted with a diagnosis divided by the number of children admitted with the same diagnosis. There were 24,452 admitted children eligible for analysis. Discharge disposition was recorded in 94.2% of patients, and 4.0% (N = 977) died in the hospital. The most frequent diagnoses among admissions and deaths were pneumonia/bronchiolitis, malaria, and sepsis. The highest mortality rates by diagnosis were found in surgical conditions (16.1%; 95% CI: 12.0-20.3), malnutrition (15.8%; 95% CI: 13.6-18.0), and congenital heart disease (14.5%; 95% CI: 9.9-19.2). Diagnoses with the highest mortality rates were alike in their need for significant human and material resources for medical care. Improving mortality in this population will require sustained capacity building in conjunction with targeted quality improvement initiatives against both common and deadly diseases.

Our emergency department updated our care algorithm to provide evidence-based, standardized care to 0- to 60-day-old febrile neonates. Specifically, we wanted to increase the proportion of visits for which algorithm-adherent care was provided from 90% to 95% for infants 0-28 days, and from 67% to 95% for infants 29-60 days, by June 30, 2020., Methods: Our emergency medicine team outlined our theory for improvement and used multiple plan-do-study-act cycles to test interventions aimed at key drivers. Interventions included constructing an updated care algorithm, clinician, and nurse education, integrating an updated opt-out order set, and streamlined discharge instructions. Our primary outcome was the proportion of patient encounters in which clinicians ordered algorithm-adherent care. In addition, our quality improvement team manually reviewed all failures to determine the reasons for failure and inform further interventions., Results: We evaluated 2,248 visits between January 2018 and October 2021. Algorithm-adherent care for 29- to 60-day-old infants improved from 67% to 92%. Algorithm-adherent care for 0- to 28-day infants improved from 90% to 96%. We sustained these improvements for 22 months. Failure to adhere to the algorithm in the 29- to 60-day-old infant group was primarily due to clinicians not ordering procalcitonin., Conclusions: Using quality improvement methods, we successfully increased algorithm-adherent evaluation of febrile neonates 0-60 days old in our pediatric emergency departments. Education and opt-out order sets were keys to implementing our new algorithm., (Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.)

Objectives: To investigate the prevalence of left ventricular systolic dysfunction (LVSD) in Malawian children with severe febrile illness and to explore associations between LVSD and mortality and lactate levels., Design: Prospective observational study., Setting: Pediatric ward of a tertiary government referral hospital in Malawi., Patients: Children between 60 days and 10 years old with severe febrile illness (fever with at least one sign of impaired perfusion plus altered mentation or respiratory distress) were enrolled at admission from October 2017 to February 2018., Interventions: Focused cardiac ultrasound (FoCUS) was performed, and serum lactate was measured for each child at enrollment, with repeat FoCUS the following day. LV systolic function was later categorized as normal, reduced, severely reduced, or hyperdynamic by two pediatric cardiologists blinded to clinical course and outcomes., Measurements and Main Results: Fifty-four children were enrolled. LVSD was present in 14 children (25.9%; 95% CI, 15.4-40.3%), of whom three had severely reduced function. Thirty patients (60%) had a lactate greater than 2.5 mmol/L, of which 20 (40%) were markedly elevated (>5 mmol/L). Ten children died during admission (18.5%). Of children who survived, 22.7% had decreased LV systolic function versus 40% of those who died. Dysfunction was not associated with mortality or elevated lactate., Conclusions: Cardiac dysfunction may be present in one in four Malawian children with severe febrile illness, and mortality in these patients is especially high. Larger studies are needed to further clarify the role cardiac dysfunction plays in mortality and integrate practical bedside assessments for decision support around individualized resuscitation strategies., Competing Interests: Dr. Mkaliainga received funding from the Cincinnati Children’s Hospital Medical Center Division of Emergency Medicine. Dr. Banda’s institution received funding from a divisional small grant from Cincinnati Children’s Hospital Medical Center. Dr. Byczkowski disclosed that she taught a fellow class on statistical process control at Seattle Children’s Hospital. The remaining authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2022 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.)

Background: Identifying acute kidney injury (AKI) early can inform medical decisions key to mitigation of injury. An AKI risk stratification tool, the renal angina index (RAI), has proven better than creatinine changes alone at predicting AKI in critically ill children., Objective: To derive and test performance of an "acute" RAI (aRAI) in the Emergency Department (ED) for prediction of inpatient AKI and to evaluate the added yield of urinary AKI biomarkers., Methods: Study of pediatric ED patients with sepsis admitted and followed for 72 h. The primary outcome was inpatient AKI defined by a creatinine >1.5× baseline, 24-72 h after admission. Patients were denoted renal angina positive (RA+) for an aRAI score above a population derived cut-off. Test characteristics evaluated predictive performance of the aRAI compared to changes in creatinine and incorporation of 4 urinary biomarkers in the context of renal angina were assessed., Results: 118 eligible subjects were enrolled. Mean age was 7.8 ± 6.4 years, 16% required intensive care admission. In the ED, 27% had a +RAI (22% had a >50% creatinine increase). The aRAI had an AUC of 0.92 (0.86-0.98) for prediction of inpatient AKI. For AKI prediction, RA+ demonstrated a sensitivity of 94% (69-99) and a negative predictive value of 99% (92-100) (versus sensitivity 59% (33-82) and NPV 93% (89-96) for creatinine ≥2× baseline). Biomarker analysis revealed a higher AUC for aRAI alone than any individual biomarker., Conclusions: This pilot study finds the aRAI to be a sensitive ED-based tool for ruling out the development of in-hospital AKI., (Copyright © 2020 Elsevier Inc. All rights reserved.)

The authors describe a multiinstitutional collaborative project to address a gap in global health training by creating a free online platform to share a curriculum for performing procedures in resource-limited settings. This curriculum called PEARLS (Procedural Education for Adaptation to Resource-Limited Settings) consists of peer-reviewed instructional and demonstration videos describing modifications for performing common pediatric procedures in resource-limited settings. Adaptations range from the creation of a low-cost spacer for inhaled medications to a suction chamber for continued evacuation of a chest tube. By describing the collaborative process, we provide a model for educators in other fields to collate and disseminate procedural modifications adapted for their own specialty and location, ideally expanding this crowd-sourced curriculum to reach a wide audience of trainees and providers in global health.