Utility of Modified Early Warning Score in Identifying Critical Illness in Surgical Patients in a Resource-Limited Setting

IntroductionThe Modified Early Warning Score (MEWS) is a validated tool for the early identification of deteriorating patients; however, its utility in resource-limited surgical settings remains underexplored.MethodsWe conducted a prospective cohort study of 121 adult surgical inpatients residing on general wards at Kamuzu Central Hospital in Lilongwe, Malawi. Critical illness was defined using the Modified Early Warning Score (MEWS), with a score ≥5 indicating critical illness. Data were collected on a single day through standardized bedside assessments and chart reviews, capturing demographic and clinical information. Patients were followed up at day 7 and day 30 to determine mortality outcomes.ResultsOf the 121 patients, 15 (12.4%) met critical illness criteria. The median age of critically ill patients was 50 years (IQR = 23-64). Most patients meeting critical illness criteria (86.7%, n = 13) were managed on general wards. At days 7 and 30, in-hospital mortality rates were 5.0% (n = 6) and 9.9% (n = 12), respectively. Mortality rates were significantly higher among critically ill patients compared to non-critically ill patients at days 7 and 30: 20.0% vs 2.8% (<i>P</i> = 0.004) and 33.3% vs 6.6% (<i>P</i> = 0.001), respectively. In multivariable logistic regression analysis, the MEWS was the only significant predictor of 30-day mortality (OR = 1.62, 95% CI: 1.11-2.38, <i>P</i> = 0.013), with mortality probability approaching 40% at an MEWS of 10.ConclusionThe MEWS effectively identified high-risk surgical inpatients in our setting. Integrating the MEWS into surgical practice may improve outcomes for critically ill surgical patients.

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Publication Details

Journal
The American Surgeon
Published
2025-11-14
DOI
https://doi.org/10.1177/00031348251399187
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
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article

Utility of Modified Early Warning Score in Identifying Critical Illness in Surgical Patients in a Resource-Limited Setting

Xinyi Luo, Anthony Charles, Melissa Issa‐Boube, Chimwemwe Nkhonjera
The American Surgeon
Sepsis Diagnosis and Treatment
article

Utility of Modified Early Warning Score in Identifying Critical Illness in Surgical Patients in a Resource-Limited Setting

Xinyi Luo, Anthony Charles, Melissa Issa‐Boube, Chimwemwe Nkhonjera
article en

Abstract

IntroductionThe Modified Early Warning Score (MEWS) is a validated tool for the early identification of deteriorating patients; however, its utility in resource-limited surgical settings remains underexplored.MethodsWe conducted a prospective cohort study of 121 adult surgical inpatients residing on general wards at Kamuzu Central Hospital in Lilongwe, Malawi. Critical illness was defined using the Modified Early Warning Score (MEWS), with a score ≥5 indicating critical illness. Data were collected on a single day through standardized bedside assessments and chart reviews, capturing demographic and clinical information. Patients were followed up at day 7 and day 30 to determine mortality outcomes.ResultsOf the 121 patients, 15 (12.4%) met critical illness criteria. The median age of critically ill patients was 50 years (IQR = 23-64). Most patients meeting critical illness criteria (86.7%, n = 13) were managed on general wards. At days 7 and 30, in-hospital mortality rates were 5.0% (n = 6) and 9.9% (n = 12), respectively. Mortality rates were significantly higher among critically ill patients compared to non-critically ill patients at days 7 and 30: 20.0% vs 2.8% (<i>P</i> = 0.004) and 33.3% vs 6.6% (<i>P</i> = 0.001), respectively. In multivariable logistic regression analysis, the MEWS was the only significant predictor of 30-day mortality (OR = 1.62, 95% CI: 1.11-2.38, <i>P</i> = 0.013), with mortality probability approaching 40% at an MEWS of 10.ConclusionThe MEWS effectively identified high-risk surgical inpatients in our setting. Integrating the MEWS into surgical practice may improve outcomes for critically ill surgical patients.

The American Surgeon
University of Vermont (US), University of North Carolina at Chapel Hill (US), Tulane University (US), Kamuzu Central Hospital (MW), Morehouse School of Medicine (US)
Openalex Percentile: Top 55%
Sepsis Diagnosis and Treatment
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