Critical Care Medicine, Peterborough City Hospital, Peterborough, UK.
Anaesthesia. 2013 Apr;68(4):354-67. doi: 10.1111/anae.12180.
We designed and internally validated an aggregate weighted early warning scoring system specific to the obstetric population that has the potential for use in the ward environment. Direct obstetric admissions from the Intensive Care National Audit and Research Centre's Case Mix Programme Database were randomly allocated to model development (n = 2240) or validation (n = 2200) sets. Physiological variables collected during the first 24 h of critical care admission were analysed. Logistic regression analysis for mortality in the model development set was initially used to create a statistically based early warning score. The statistical score was then modified to create a clinically acceptable early warning score. Important features of this clinical obstetric early warning score are that the variables are weighted according to their statistical importance, a surrogate for the FI O2 /Pa O2 relationship is included, conscious level is assessed using a simplified alert/not alert variable, and the score, trigger thresholds and response are consistent with the new non-obstetric National Early Warning Score system. The statistical and clinical early warning scores were internally validated using the validation set. The area under the receiver operating characteristic curve was 0.995 (95% CI 0.992-0.998) for the statistical score and 0.957 (95% CI 0.923-0.991) for the clinical score. Pre-existing empirically designed early warning scores were also validated in the same way for comparison. The area under the receiver operating characteristic curve was 0.955 (95% CI 0.922-0.988) for Swanton et al.'s Modified Early Obstetric Warning System, 0.937 (95% CI 0.884-0.991) for the obstetric early warning score suggested in the 2003-2005 Report on Confidential Enquiries into Maternal Deaths in the UK, and 0.973 (95% CI 0.957-0.989) for the non-obstetric National Early Warning Score. This highlights that the new clinical obstetric early warning score has an excellent ability to discriminate survivors from non-survivors in this critical care data set. Further work is needed to validate our new clinical early warning score externally in the obstetric ward environment.
我们设计并内部验证了一种特定于产科人群的综合加权早期预警评分系统,该系统有可能在病房环境中使用。直接从重症监护国家审计和研究中心的病例组合计划数据库入院的产科患者被随机分配到模型开发(n=2240)或验证(n=2200)组中。分析了入住重症监护病房的前 24 小时内收集的生理变量。使用模型开发集中的死亡率进行逻辑回归分析,最初创建了一个基于统计学的早期预警评分。然后对统计评分进行修改,以创建一个临床可接受的早期预警评分。该临床产科早期预警评分的重要特征是,根据其统计学重要性对变量进行加权,包含了 FiO2/PaO2 关系的替代指标,使用简化的警觉/非警觉变量评估意识水平,并且评分、触发阈值和反应与新的非产科国家早期预警评分系统一致。使用验证集对统计和临床早期预警评分进行内部验证。统计评分的受试者工作特征曲线下面积为 0.995(95%置信区间 0.992-0.998),临床评分的为 0.957(95%置信区间 0.923-0.991)。以同样的方式验证了先前经验设计的早期预警评分,以便进行比较。Swanton 等人的改良产科早期预警系统的受试者工作特征曲线下面积为 0.955(95%置信区间 0.922-0.988),2003-2005 年英国产妇死亡机密调查报告中提出的产科早期预警评分的为 0.937(95%置信区间 0.884-0.991),非产科国家早期预警评分的为 0.973(95%置信区间 0.957-0.989)。这表明,在这个重症监护数据集,新的临床产科早期预警评分具有极好的区分存活者和非存活者的能力。需要进一步的工作来验证我们新的临床早期预警评分在产科病房环境中的外部有效性。