Hollis Robert H, Graham Laura A, Lazenby John P, Brown Daran M, Taylor Benjamin B, Heslin Martin J, Rue Loring W, Hawn Mary T
*Department of Surgery, University of Alabama at Birmingham, Birmingham, AL †Department of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Ann Surg. 2016 May;263(5):918-23. doi: 10.1097/SLA.0000000000001514.
We examined whether an early warning score (EWS) could predict inpatient complications in surgical patients.
Abnormal vitals often precede in-hospital mortality. The EWS calculated using vital signs has been developed to identify patients at risk for mortality.
Inpatient general surgery procedures with National Surgical Quality Improvement Project data from 2013 to 2014 were matched with enterprise data on vital signs and neurologic status to calculate the EWS for each postoperative vital set measured on the ward. Outcomes of major complications, unplanned intensive care unit transfer, and medical emergency team activation were classified using the Clavien-Dindo system as grade I to V. Relationship with EWS and timing of complication was assessed using Kruskal-Wallis test and linear regression accounting for clustering with generalized estimating equation.
Among 552 patients admitted to the ward postsurgery, 68 (12.3%) developed at least one grade I to III complication and 37 (6.7%) developed a grade IV/V complication. The mean maximum EWS was significantly higher preceding grade IV/V complications (10.1) compared with grade I to III complications (6.4) or across the hospital stay in patients without complications (5.4; P < 0.01). EWS significantly increased in the 3 days preceding grade IV/V complications (P < 0.001) and declined in patients without complications in the 3 days before discharge (P < 0.001). A threshold EWS of 8 predicted occurrence of grade IV/V complications with 81% sensitivity and 84% specificity.
Critical postoperative complications can be preceded by rising EWS. Interventional studies are needed to evaluate whether EWS can reduce the severity of postoperative complications and mortality for surgical patients through early identification and intervention.
我们研究了早期预警评分(EWS)是否能够预测外科手术患者的住院并发症。
生命体征异常常常先于院内死亡出现。利用生命体征计算得出的EWS已被用于识别有死亡风险的患者。
将2013年至2014年全国外科质量改进项目数据中的住院普通外科手术与关于生命体征和神经状态的企业数据进行匹配,以计算在病房测量的每个术后生命体征组的EWS。使用Clavien-Dindo系统将主要并发症、非计划重症监护病房转科和医疗急救团队启动的结果分为I至V级。使用Kruskal-Wallis检验和线性回归评估EWS与并发症发生时间的关系,并采用广义估计方程对聚类进行校正。
在552例术后入住病房的患者中,68例(12.3%)发生了至少1例I至III级并发症,37例(6.7%)发生了IV/V级并发症。IV/V级并发症发生前的平均最高EWS(10.1)显著高于I至III级并发症(6.4)或无并发症患者的整个住院期间(5.4;P<0.01)。IV/V级并发症发生前3天EWS显著升高(P<0.001),而无并发症患者出院前3天EWS下降(P<0.001)。EWS阈值为8时预测IV/V级并发症发生的敏感度为81%,特异度为84%。
术后严重并发症发生前EWS会升高。需要进行干预性研究来评估EWS是否能够通过早期识别和干预降低外科手术患者术后并发症的严重程度和死亡率。