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Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC · 2026

Evaluation of a Canadian-Adapted Modified Early Obstetric Warning System (Can-MEOWS): A Quality Improvement Initiative.

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Werlang Ana, Scremin Souza Sara C, Sabri Elham, Hawken Steven, Gomes Megan

Аннотация

OBJECTIVES: This study aimed to evaluate the performance of a Canadian-adapted Modified Early Obstetric Warning System (Can-MEOWS) in predicting severe maternal morbidity (SMM), and to examine the association between individual Can-MEOWS parameters and SMM.

METHODS: This quality improvement study included all obstetric patient encounters from 200 weeks gestation to 6 weeks postpartum at a tertiary care centre between 2022 and 2024 with documented Can-MEOWS scores. Relative risks (RRs) and 95% confidence intervals (CIs) for the composite SMM outcome were estimated using log-binomial regression. Can-MEOWS performance was examined at maximum total score thresholds using sensitivity, specificity, positive predictive value, and negative predictive value (NPV).

RESULTS: Among 13 756 encounters, 13.8% experienced an SMM event, most commonly severe hemorrhage (61.6%), sepsis (24.5%), and severe hypertensive disorders of pregnancy (8.1%). Risk of SMM increased with higher total Can-MEOWS scores (RR 1.73; 95% CI 1.40-2.13 for scores 1-4; RR 4.15; 95% CI 3.33-5.17 for scores 5-6; and RR 6.70; 95% CI 5.36-8.38 for scores ≥7) compared with a Can-MEOWS score of 0. Tachypnea, fever, hypertension, and tachycardia were significantly associated with SMM. Proteinuria demonstrated a dose-dependent association with SMM, including patients with normal blood pressure. A total score ≥1 yielded the highest sensitivity (95.4%) and NPV (93.4%), whereas a score ≥7 demonstrated the highest specificity (97.6%).

CONCLUSIONS: The Can-MEOWS is a reliable tool for early identification of SMM, with high sensitivity and NPV supporting its role as a screening tool. Threshold refinements will decrease false positives and alarm fatigue. These findings support broader implementation of obstetric early warning systems in Canadian centres to improve maternal safety.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты