Hung Shang-Kai, Ng Chip-Jin, Kuo Chang-Fu, Goh Zhong Ning Leonard, Huang Lu-Hsiang, Li Chih-Huang, Chan Yi-Ling, Weng Yi-Ming, Seak Joanna Chen-Yeen, Seak Chen-Ken, Seak Chen-June
Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
College of Medicine, Chang Gung University, Taoyuan, Taiwan.
PLoS One. 2017 Nov 1;12(11):e0187495. doi: 10.1371/journal.pone.0187495. eCollection 2017.
Splenic abscess is rare but has mortality rates as high as 14% even with recent improvements in management. Early and appropriate intervention may improve patient outcomes, yet at present there is no identified method that can predict mortality risk rapidly and accurately for emergency physicians, surgeons, and intensivists to decide on the ideal course of action.
This study aims to evaluate the performance of Mortality in Emergency Department Sepsis Score (MEDS), Modified Early Warning Score (MEWS), Rapid Emergency Medicine Score (REMS) and Rapid Acute Physiology Score (RAPS) for predicting the mortality risk of adult splenic abscess patients. This will expedite decision making in the emergency department (ED) to increase survival rates and help avoid unnecessary splenectomies.
Data of 114 adult patients admitted to the EDs of 4 research and training hospitals who had undergone an abdominal contrast CT scan and diagnosed with splenic abscess between Jan 2000 and April 2015 were analyzed. The MEDS, MEWS, REMS, and RAPS and their corresponding mortality risks were calculated, with their abilities to predict patient mortality assessed through receiver operating characteristic curve analysis and calibration analysis.
MEDS was found to be the best performing scoring system across all indicators, with sensitivity, specificity, and accuracy of 92.86%, 88.00%, and 88.60% respectively; its area under curve for AUROC analysis was 0.92. With a cutoff value of 8, negative predictive value of MEDS was 98.88%.
Our series is the largest multicenter study in adult ED patients with splenic abscess. The results from the present study show that MEDS is superior to MEWS, REMS and RAPS in predicting mortality, thus allowing earlier detection of critically ill adult ED splenic abscess patients. Therefore, we recommend that MEDS be used for predicting severity of illness and risk stratification in these patients.
脾脓肿较为罕见,但即便在近期治疗手段有所改进的情况下,其死亡率仍高达14%。早期且恰当的干预或许能改善患者预后,然而目前尚无一种能让急诊医生、外科医生及重症监护医生迅速且准确地预测死亡风险,从而决定理想治疗方案的方法。
本研究旨在评估急诊科脓毒症死亡率评分(MEDS)、改良早期预警评分(MEWS)、快速急诊医学评分(REMS)及快速急性生理学评分(RAPS)对预测成年脾脓肿患者死亡风险的性能。这将加快急诊科的决策制定,以提高生存率并有助于避免不必要的脾切除术。
分析了2000年1月至2015年4月期间在4家研究与培训医院急诊科住院、接受腹部增强CT扫描并被诊断为脾脓肿的114例成年患者的数据。计算了MEDS、MEWS、REMS和RAPS及其相应的死亡风险,并通过受试者操作特征曲线分析和校准分析评估它们预测患者死亡的能力。
发现MEDS在所有指标中表现最佳,敏感性、特异性和准确性分别为92.86%、88.00%和88.60%;其用于AUROC分析的曲线下面积为0.92。MEDS的截断值为8时,阴性预测值为98.88%。
我们的系列研究是针对成年急诊科脾脓肿患者规模最大的多中心研究。本研究结果表明,MEDS在预测死亡率方面优于MEWS、REMS和RAPS,从而能够更早地发现成年急诊科脾脓肿重症患者。因此,我们建议使用MEDS来预测这些患者的疾病严重程度和进行风险分层。