Retrospective analysis of patients with severe maternal morbidity receiving anaesthesia services using 'WHO near miss approach' and the applicability of maternal severity score as a predictor of maternal outcome

Abstract

Background and Aims: Risk stratification of severely morbid obstetric patients receiving anaesthesia services can be helpful in improving maternal outcomes. This study was undertaken to analyse these patients using the WHO near-miss (NM) approach and to assess the applicability of maternal severity score (MSS) to predict maternal mortality. Methodology: This is a one-year retrospective cohort analysis at a tertiary care centre. Of all the obstetric patients receiving anaesthesia, those with 'potentially life-threatening conditions' (PLTC) were identified. Amongst women with PLTC, those fulfilling the WHO NM criteria were grouped into either maternal near miss (MNM) or maternal death (MD) depending on final survival outcome. The MSS was assessed upon admission to post-anaesthesia ICU. The cases of “near miss” were compared to maternal death to determine the factors and WHO NM criteria significantly associated with mortality. Area under ROC curve (AUROC) was used to assess the accuracy of MSS to predict maternal mortality. Results: Of the 4351 anaesthetised obstetric patients, 301 were PLTC, 59 MNM and 11 MD. Obstetric haemorrhage was the commonest PLTC with the highest risk for MNM and MD. Preoperative organ dysfunction, referral from other centres, intra-uterine fetal death (IUFD) and WHO cardiovascular and respiratory NM criteria were significantly associated with mortality. MSS had excellent accuracy for the prediction of mortality (AUROC was 0.986 and 95% CI 0.966–0.996). Conclusion: Haemorrhage is the leading cause of MNM and MD. MSS is reliable in stratifying the severity of maternal morbidity and in predicting maternal mortality. Thus it can be used as an effective prognostic tool.

Keywords

• anaesthesia
• maternal near miss
• maternal severity score
• post-anaesthesia critical care