Key result
The mionl-MEWS model demonstrated excellent predictive performance for 28-day mortality in critically ill patients with an AUROC of 0.908, which was not significantly different from APACHE-II.
Why the study?
A simple prognostic model using easy-to-use indexes is needed to predict 28-day mortality in critically ill ICU patients.
Does the mionl-MEWS model accurately predict 28-day mortality in critically ill ICU patients?
Cohort (n=51,121)
No
Does the mionl-MEWS model accurately predict 28-day mortality in critically ill ICU patients?
Effect estimate: AUROC 0.908 (95% CI 0.883-0.933)
Absolute Event Rate: 0.908% vs 0.884%
p-value: p=0.120
The mionl-MEWS model, integrating six routine clinical predictors, provides good predictive value for 28-day mortality in critically ill ICU patients.
May aid ICU mortality risk stratification; leaves open external validation before clinical adoption.
A simple prognostic model is needed for ICU patients. This study aimed to construct a modified prognostic model using easy-to-use indexes for prediction of the 28-day mortality of critically ill patients. Clinical information of ICU patients included in the Medical Information Mart for Intensive Care III (MIMIC-III) database were collected. After identifying independent risk factors for 28-day mortality, an improved mortality prediction model (mionl-MEWS) was constructed with multivariate logistic regression. We evaluated the predictive performance of mionl-MEWS using area under the receiver operating characteristic curve (AUROC), internal validation and fivefold cross validation. A nomogram was used for rapid calculation of predicted risks. A total of 51,121 patients were included with 34,081 patients in the development cohort and 17,040 patients in the validation cohort (17,040 patients). Six predictors, including Modified Early Warning Score, neutrophil-to-lymphocyte ratio, lactate, international normalized ratio, osmolarity level and metastatic cancer were integrated to construct the mionl-MEWS model with AUROC of 0.717 and 0.908 for the development and validation cohorts respectively. The mionl-MEWS model showed good validation capacities with clinical utility. The developed mionl-MEWS model yielded good predictive value for prediction of 28-day mortality in critically ill patients for assisting decision-making in ICU patients.
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Zhang et al. (2022) conducted a cohort in Critically ill patients (n=51,121). mionl-MEWS prognostic model vs. APACHE-II was evaluated on 28-day all-cause mortality prediction (AUROC in validation cohort) (AUROC 0.908, 95% CI 0.883-0.933, p=0.120). The mionl-MEWS model demonstrated excellent predictive performance for 28-day mortality in critically ill patients with an AUROC of 0.908, which was not significantly different from APACHE-II.
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