Wainik Sookmee, T. Liabsuetrakul, Siriwimon Tantarattanapong, P. Wuthisuthimethawee
{"title":"一家大学医院急诊科非创伤性患者的住院时间和院内死亡率","authors":"Wainik Sookmee, T. Liabsuetrakul, Siriwimon Tantarattanapong, P. Wuthisuthimethawee","doi":"10.31584/jhsmr.20231018","DOIUrl":null,"url":null,"abstract":"Objective: To assess the emergency department length of stay (EDLOS) and mortality in each Emergency Severity Index (ESI) triage level. In addition to identifying the cut-off point of EDLOS to predict 72-hour in-hospital mortality among adult non-traumatic patients in the ED of a university hospital.Material and Methods: A cross-sectional study was conducted by retrieving patient data from the hospital information system; from January 1, 2014, to December 31, 2018. Patient characteristics, EDLOS, and in-hospital mortality rates were analyzed using the R program. The cut-off values of EDLOS, via the area under the curve for the best prediction of 72-hour in-hospital mortality in patients at different ESI levels, were analyzed by multivariate analysis. Statistical significance was defined as a p-value of ≤0.05.Results: Data from 71,247 patients with 123,356 visits were enrolled. EDLOS significantly decreased across ESI levels and the in-hospital mortality rates were highest in ESI 1, followed by ESI 2 and ESI 3. The predictive ability of EDLOS was the highest for ESI 4, followed by ESI 3. The cut-off point of EDLOS at 3.58 hours showed the best sensitivity, which was a significant risk factor for mortality after adjusting for other significant variables. An EDLOS longer than 4 hours was a significant factor for poor survival in patients with ESI 2 and ESI 3.Conclusion: A practical cut-off point of 4 hours EDLOS can be used to predict 72-hour in-hospital mortality. Healthcare providers in the ED should consider EDLOS as a safety indicator for quality assurance.","PeriodicalId":36211,"journal":{"name":"Journal of Health Science and Medical Research","volume":"7 7","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Emergency Department Length of Stay and in-Hospital Mortality of Non-Traumatic Patients in a University Hospital\",\"authors\":\"Wainik Sookmee, T. Liabsuetrakul, Siriwimon Tantarattanapong, P. Wuthisuthimethawee\",\"doi\":\"10.31584/jhsmr.20231018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: To assess the emergency department length of stay (EDLOS) and mortality in each Emergency Severity Index (ESI) triage level. In addition to identifying the cut-off point of EDLOS to predict 72-hour in-hospital mortality among adult non-traumatic patients in the ED of a university hospital.Material and Methods: A cross-sectional study was conducted by retrieving patient data from the hospital information system; from January 1, 2014, to December 31, 2018. Patient characteristics, EDLOS, and in-hospital mortality rates were analyzed using the R program. The cut-off values of EDLOS, via the area under the curve for the best prediction of 72-hour in-hospital mortality in patients at different ESI levels, were analyzed by multivariate analysis. Statistical significance was defined as a p-value of ≤0.05.Results: Data from 71,247 patients with 123,356 visits were enrolled. EDLOS significantly decreased across ESI levels and the in-hospital mortality rates were highest in ESI 1, followed by ESI 2 and ESI 3. The predictive ability of EDLOS was the highest for ESI 4, followed by ESI 3. The cut-off point of EDLOS at 3.58 hours showed the best sensitivity, which was a significant risk factor for mortality after adjusting for other significant variables. An EDLOS longer than 4 hours was a significant factor for poor survival in patients with ESI 2 and ESI 3.Conclusion: A practical cut-off point of 4 hours EDLOS can be used to predict 72-hour in-hospital mortality. 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引用次数: 0
摘要
目的:评估急诊科住院时间(EDLOS)和死亡率:评估每个急诊严重程度指数(ESI)分诊级别的急诊科住院时间(EDLOS)和死亡率。此外,确定 EDLOS 的临界点,以预测某大学附属医院急诊科非外伤性成人患者 72 小时院内死亡率:通过从医院信息系统中检索患者数据,开展了一项横断面研究;研究时间为 2014 年 1 月 1 日至 2018 年 12 月 31 日。使用 R 程序分析了患者特征、EDLOS 和院内死亡率。通过对不同ESI水平患者72小时院内死亡率的最佳预测曲线下面积,对EDLOS的临界值进行了多变量分析。统计显著性定义为 p 值≤0.05:结果:共收集了 71,247 名患者的数据,访问次数达 123,356 次。EDLOS 的预测能力在 ESI 4 中最高,其次是 ESI 3。EDLOS 的临界点为 3.58 小时,显示出最佳灵敏度,在调整其他重要变量后,它是死亡率的重要风险因素。EDLOS 超过 4 小时是导致 ESI 2 和 ESI 3 患者存活率低的重要因素:结论:EDLOS 4 小时这一实用的临界点可用于预测 72 小时的院内死亡率。急诊室的医护人员应将 EDLOS 作为保证质量的安全指标。
Emergency Department Length of Stay and in-Hospital Mortality of Non-Traumatic Patients in a University Hospital
Objective: To assess the emergency department length of stay (EDLOS) and mortality in each Emergency Severity Index (ESI) triage level. In addition to identifying the cut-off point of EDLOS to predict 72-hour in-hospital mortality among adult non-traumatic patients in the ED of a university hospital.Material and Methods: A cross-sectional study was conducted by retrieving patient data from the hospital information system; from January 1, 2014, to December 31, 2018. Patient characteristics, EDLOS, and in-hospital mortality rates were analyzed using the R program. The cut-off values of EDLOS, via the area under the curve for the best prediction of 72-hour in-hospital mortality in patients at different ESI levels, were analyzed by multivariate analysis. Statistical significance was defined as a p-value of ≤0.05.Results: Data from 71,247 patients with 123,356 visits were enrolled. EDLOS significantly decreased across ESI levels and the in-hospital mortality rates were highest in ESI 1, followed by ESI 2 and ESI 3. The predictive ability of EDLOS was the highest for ESI 4, followed by ESI 3. The cut-off point of EDLOS at 3.58 hours showed the best sensitivity, which was a significant risk factor for mortality after adjusting for other significant variables. An EDLOS longer than 4 hours was a significant factor for poor survival in patients with ESI 2 and ESI 3.Conclusion: A practical cut-off point of 4 hours EDLOS can be used to predict 72-hour in-hospital mortality. Healthcare providers in the ED should consider EDLOS as a safety indicator for quality assurance.