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Updated: Jan 2, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Comparison of four prognostic scales for predicting mortality in patients with severe maternal morbidity
B Jonguitud López1, D Álvarez Lara1, M A Sosa Medellín2
1Unidad de Cuidados Intensivos, Hospital de especialidades en la Unidad Médica de Alta Especialidad N.(o) 25, IMSS, Monterrey, Nuevo León, México.
Objective:
To compare the prognostic validity of the APACHE II-M and O-SOFA scales versus the APACHE II and SOFA to predict mortality in patients with severe maternal morbidity.
Design:
A retrospective, longitudinal and analytical cohort study was carried out.
Setting:
Medical-surgical intensive care unit (ICU) of a tertiary hospital.
Patients:
Pregnant or puerperal patients of any age admitted to the ICU.
Interventions:
Calculation of prognostic scores upon admission.
Variables Of Interest:
APACHE II, SOFA, APACHE II-M and O-SOFA scores and maternal mortality.
Results:
A total of 141 patients were included. The majority (70.2%) were puerperal. The most frequent diagnosis was gestational hypertensive disease (50 cases). The discrimination of each prognostic model was estimated with the area under the ROC curve (AUC-ROC). The calibration was estimated using the mortality ratio and the Hosmer-Lemeshow statistic. The four scales discriminated between survivors and non-survivors with areas under the curve >0.85. The APACHE II-M model was the predictive model with the highest discrimination and calibration. In the Hosmer-Lemeshow regression analysis, mortality as predicted by the APACHE II and O-SOFA was significantly different from the observed mortality.
Conclusions:
The APACHE II-M exhibited the greatest prognostic validity in predicting maternal mortality. This difference was given by its improvement in calibration.
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