U. Srivastava, Yogita Dwivedi, S. Verma, A. Kannaujia, S. Ambasta, Israel Lalramthara
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引用次数: 0
摘要
背景和目的:严重的孕产妇疾病对孕妇来说是一种危及生命的疾病,通常需要进入重症监护室。目的是评估最大序贯器官衰竭评估(SOFA)评分的性能,以预测入住ICU的患者的预后。材料和方法:这项前瞻性研究是对121名连续一年入住ICU的产科重症妇女进行的。注意到了基本的人口统计学、产科数据、入住ICU的指征和所做的干预措施。SOFA评分根据其六种成分中每种成分的最差评分进行评估,每24小时一次,直到出院或在ICU死亡。构建受试者-操作者特征(ROC)曲线来预测ICU的结果。为了进行分析,将患者分为幸存者和非幸存者。结果:在121名住院患者中,65人存活,56人死亡,死亡率为45.9%。在人口统计数据、产科数据和干预措施方面,幸存者和非幸存者患者没有差异,但贫血和产前护理不足在非幸存者中更为常见。产科患者的ICU使用率为1.9%。大多数患者因产科原因入院(87.6%),主要是高血压疾病(46%)和剖腹产后患者(84.29%)。非幸存者的SOFA总分高于幸存者(14.09±5.53 vs 7.47±4.58,P
Sequential organ failure assessment score for predicting outcome of severely ill obstetric patients admitted to intensive care unit
Background and Aim: Severe maternal illness is a life-threatening condition for pregnant women and often requires admission into the ICU. The aim was to evaluate the performance of maximum sequential organ failure assessment (SOFA) score to predict the outcome of patients admitted to ICU. Material and Methods: This prospective study was done on 121 consecutive women with severe obstetric illness admitted to the ICU during one year. Basic demographic, obstetrical data, indication of admission to ICU and interventions done were noted. SOFA score was evaluated according to the worst score for each of its six components every 24 hr till discharge or death in ICU. The receiver-operator characteristic (ROC) curve was constructed to predict the outcome of ICU. For analysis, patients were categorized as survivors and non-survivors. Results: Out of 121 patients admitted, 65 survived and 56 died with mortality rate of 45.9%. There were no differences among survivor and non-survivor patients regarding demographic data, obstetrical data and interventions done, but anaemia and inadequate ante natal care was more common in non survivors. ICU utilisation rate of obstetric patients was 1.9%. Most patients were admitted due to obstetric causes (87.6%), mainly for hypertensive disorders (46%) and were post caesarean (84.29%). Total maximum SOFA scores were higher in non-survivors than in survivors (14.09 ± 5.53 vs 7.47 ± 4.58, P