• Pak J Med Sci · Jan 2023

    "Underneath the visible" - COVID-19 Risk prediction tools in a high-volume, low-resource Emergency Department.

    • Sama Mukhtar, Sarfaraz Ahmed Khatri, Adeel Khatri, Nida Ghouri, and Megan Rybarczyk.
    • Sama Mukhtar, Consultant Emergency Medicine, Indus Hospital and Health Network, Karachi.
    • Pak J Med Sci. 2023 Jan 1; 39 (1): 869086-90.

    ObjectivesPatient risk stratification is the cornerstone of COVID-19 disease management; that has impacted health systems globally. We evaluated the performance of the Brescia-COVID Respiratory Severity Scale (BCRSS), CALL (Co-morbid, age, Lymphocyte and Lactate dehydrogenase) Score, and World Health Organization (WHO) guidelines in Emergency department (ED) on arrival, as predictors of outcomes; Intensive care unit (ICU) admission and in-hospital mortality.MethodsA two-month retrospective chart review of 88 adult patients with confirmed COVID-19 pneumonia; requiring emergency management was conducted at ED, Indus Hospital and Health Network (IHHN), Karachi, Pakistan, (April 1 to May 31, 2020). The sensitivity, specificity, receiver operator characteristic curve (ROC) and area under the curve (AUC) for the scores were obtained to assess their predictive capability for outcomes.ResultsThe in-hospital mortality rate was 48.9 % with 59.1 % ICU admissions and with a mean age at presentation of 56 ± 13 years. Receiver operator curve for BCRSS depicted good predicting capability for in hospital mortality [AUC 0.81(95% CI 0.71-0.91)] and ICU admission [AUC 0.73(95%CI 0.62-0.83)] amongst all models of risk assessment.ConclusionBCRSS depicted better prediction of in-hospital mortality and ICU admission. Prospective studies using this tool are needed to assess its utility in predicting high-risk patients and guide treatment escalation in LMIC's.Copyright: © Pakistan Journal of Medical Sciences.

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