首页> 外文期刊>Indian journal of Anaesthesia >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
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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

机译:利用“靠近错过的卫生病”接受麻醉服务的患者患者的回顾性分析,以及母体严重程度评分的适用性作为孕产妇结果的预测

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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.
机译:背景和宗旨:接受麻醉服务的严重病态产科患者的风险分层可能有助于改善孕产妇结果。本研究采用了利用近小姐(NM)方法分析这些患者,并评估母体严重程度(MSS)的适用性来预测孕产妇死亡率。方法论:这是一个第三节护理中心的一年的回顾队列分析。在接受麻醉的所有产科患者中,确定了具有“潜在危及生命的条件”(PLTC)的患者。在PLTC的妇女中,根据最终的生存结果,将符合WHO NM标准的人分组为孕产妇或母体死亡(MD)。 MSS在入场后评估了ICU。 “近小姐”的病例与孕产妇死亡进行了比较,以确定因素以及NM标准与死亡率显着相关。 ROC曲线下的区域(AUROC)用于评估MSS预测孕产妇死亡率的准确性。结果:4351个麻醉产科患者,301例是PLTC,59毫升和11md。产科血清是最常见的PLTC,MNM和MD的风险最高。术前器官功能障碍,来自其他中心的转诊,子宫内胎儿死亡(IUFD)和WHO心血管和呼吸NM标准显着与死亡率有显着相关。 MSS对死亡率预测具有优异的准确性(Auroc为0.986和95%CI 0.966-0.996)。结论:出血是MNM和MD的主要原因。 MSS可靠地分层母体发病率的严重程度和预测孕产妇死亡率。因此,它可以用作有效的预后工具。

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