Luo Xinyi, Nkhonjera Chimwemwe, Gondwe Jotham, Issa-Boube Melissa, Charles Anthony
Department of Surgery, Tulane School of Medicine, New Orleans, Louisiana, USA.
Department of Surgery, Kamuzu Central Hospital, Lilongwe, Malawi.
World J Surg. 2025 Jul;49(7):1759-1768. doi: 10.1002/wjs.12624. Epub 2025 May 15.
The unmet burden of critical illness in low-resource settings is unknown. The Modified Early Warning Score (MEWS) is a validated tool that quantifies patient risk for critical illness and higher level of care. This study evaluates the burden of critical illness outside of the ICU using MEWS and predictors of mortality among adult inpatients at a central hospital in Malawi, where ICU capacity is limited.
We conducted a prospective cohort study among adult inpatients (≥ 13 years) across medical, surgical, and obstetrics-gynecology wards. MEWS was used to assess critical illness based on respiratory and heart rates, temperature, systolic blood pressure, and mental status. Data were collected over three days in 2024, with follow-ups on Day 7 and Day 30. Statistical analyses included chi-squared, Mann-Whitney, and logistic regression.
Among 315 patients, 62.9% were female, median age was 33 (24-48) years, and 17.5% met critical illness criteria outside of an ICU setting. Critically ill patients had significantly higher inhospital mortality (18.2% vs. 5.4% and p = 0.001) and 30-day mortality (20% vs. 7.3% and p = 0.004). Increasing MEWS strongly predicted mortality (OR = 1.38, 95% CI [1.15, 1.65], and p = 0.001). MEWS is the strongest predictor of critical illness in surgical patients, with the highest mortality increase compared to medicine patients who had similar mortality between both groups.
There is a high-unmet burden of critical illness outside of the ICU in our setting, with a resulting high mortality. MEWS effectively stratifies patient risk, particularly in surgical patients. Early identification and intervention and increasing critical care capacity are imperative.
资源匮乏地区危重症未得到满足的负担尚不清楚。改良早期预警评分(MEWS)是一种经过验证的工具,可量化患者发生危重症和接受更高水平护理的风险。本研究使用MEWS评估了马拉维一家中心医院成年住院患者在重症监护病房(ICU)之外的危重症负担以及死亡率预测因素,该医院的ICU容量有限。
我们在医疗、外科和妇产科病房对成年住院患者(≥13岁)进行了一项前瞻性队列研究。MEWS用于根据呼吸和心率、体温、收缩压和精神状态评估危重症。2024年收集了三天的数据,并在第7天和第30天进行随访。统计分析包括卡方检验、曼-惠特尼检验和逻辑回归。
在315名患者中,62.9%为女性,中位年龄为33(24-48)岁,17.5%在非ICU环境下符合危重症标准。危重症患者的院内死亡率(18.2%对5.4%,p=0.001)和30天死亡率(20%对7.3%,p=0.004)显著更高。MEWS升高强烈预测死亡率(OR=1.38,95%CI[1.15,1.65],p=0.001)。MEWS是外科患者危重症的最强预测因素,与两组死亡率相似的内科患者相比,死亡率增加最高。
在我们的环境中,ICU之外存在着很高的未得到满足的危重症负担,导致死亡率很高。MEWS有效地对患者风险进行分层,特别是在外科患者中。早期识别和干预以及提高重症监护能力势在必行。