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首页> 外文期刊>Scientific reports. >Predicting need for intensive care unit admission in adult emphysematous pyelonephritis patients at emergency departments: comparison of five scoring systems
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Predicting need for intensive care unit admission in adult emphysematous pyelonephritis patients at emergency departments: comparison of five scoring systems

机译:预测急诊部门成人肺肾盂肾炎患者密集护理单元入院的需求:五个评分系统的比较

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This study assesses the performance of National Early Warning Score (NEWS), Quick Sepsis-related Organ Failure Assessment (qSOFA), Modified Early Warning Score (MEWS), Rapid Emergency Medicine Score (REMS), and Rapid Acute Physiology Score (RAPS) in predicting emphysematous pyelonephritis (EPN) patients' need for intensive care unit (ICU) admission. A retrospective analysis was conducted at four training and research hospitals' emergency departments (EDs) on all EPN adult patients from January 2007 to August 2017. Data extracted were used to calculate raw scores for five physiologic scoring systems. Mann-Whitney U tests and χsup2/sup tests were done for numerical and categorical variables respectively to examine differences between characteristics of ICU and non-ICU patient populations. Predictability of ICU admission was evaluated with AUROC analysis. ICU patients had lower GCS scores, SpO2, platelet counts, and estimated glomerular filtration rate; and higher bands, blood urea nitrogen, creatinine, and incidences of septic shock and nephrectomy. NEWS performed best, with 73.85% accuracy at optimal cut-off of 3. In this multicentre ED EPN series, we recommend using NEWS in early identification of critical EPN patients and advance planning for ICU admission. This would reduce delays in ICU transfer and ultimately improve patient outcomes.
机译:本研究评估了国家预警评分的表现(新闻),快速败血症相关器官失败评估(QSOFA),修改了预警评分(MEWS),快速应急医学评分(REM),以及快速急性生理学分数(RAPS)预测肺气肿性肾盂肾炎(EPN)患者的重症监护单元(ICU)入学。从2007年1月至2017年8月的所有EPN成年患者培训和研究医院的急诊部门(EDS)进行了回顾性分析。提取的数据用于计算五种生理评分系统的原始评分。 Mann-Whitney U测试和χ 2 测试分别用于检查ICU和非ICU患者群体特征之间的差异。通过Auroc分析评估ICU入院的可预测性。 ICU患者的GCS评分较低,SPO2,血小板计数和估计的肾小球过滤速率;和较高的带,血尿尿素氮,肌酐和脓毒症休克和肾切除术的发生率。新闻表现最佳,最佳切断精度为73.85%。在这款多期型ED EDEPN系列中,我们建议在早期识别中使用新闻,对ICU录取的批判性EPN患者和提前规划。这将减少ICU转移的延误,并最终改善患者结果。

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