阮雯君, 景峰, 赵琴, 周瑛, 周伟君, 毛恩强, 陈尔真. 急诊观察室患者死亡的影响因素分析及对策[J]. 职业卫生与应急救援, 2024, 42(1): 63-68. DOI: 10.16369/j.oher.issn.1007-1326.2024.01.013
引用本文: 阮雯君, 景峰, 赵琴, 周瑛, 周伟君, 毛恩强, 陈尔真. 急诊观察室患者死亡的影响因素分析及对策[J]. 职业卫生与应急救援, 2024, 42(1): 63-68. DOI: 10.16369/j.oher.issn.1007-1326.2024.01.013
RUAN Wenjun, JING Feng, ZHAO Qin, ZHOU Ying, ZHOU Weijun, MAO Enqiang, CHEN Erzhen. Analysis of influencing factors of death in emergency observation room patients and suggestions for improvement countermeasures[J]. Occupational Health and Emergency Rescue, 2024, 42(1): 63-68. DOI: 10.16369/j.oher.issn.1007-1326.2024.01.013
Citation: RUAN Wenjun, JING Feng, ZHAO Qin, ZHOU Ying, ZHOU Weijun, MAO Enqiang, CHEN Erzhen. Analysis of influencing factors of death in emergency observation room patients and suggestions for improvement countermeasures[J]. Occupational Health and Emergency Rescue, 2024, 42(1): 63-68. DOI: 10.16369/j.oher.issn.1007-1326.2024.01.013

急诊观察室患者死亡的影响因素分析及对策

Analysis of influencing factors of death in emergency observation room patients and suggestions for improvement countermeasures

  • 摘要:
    目的 分析医院急诊观察室患者的特征,分析其死亡的影响因素,为提高医院急诊救治水平提供依据。
    方法 以2019年1月1日—12月31日上海市某三甲医院急诊观察室所有出观(离开观察室)患者为研究对象,根据出观患者的转归情况,分为死亡组和存活组,比较两组患者临床资料的差异,分析死亡病例的特征。
    结果 2019年,该医院急诊室出观患者2 211人,其中死亡患者125人,存活患者2 086人。存活患者中出院1 183人(占56.71%),收入专科诊治的有903人(占43.29%)。留观时间中位数(第25、75百分位数)为2.50(1.00,9.00)d,留观时间≥72 h有1 076人(占48.67%)。平均年龄(67.81±18.87)岁,男性占57.98%(1 282人)。死亡组患者呼吸系统、恶性肿瘤患病比率高于存活组,存活组患者神经系统患病比率高于死亡组(P < 0.01)。死亡组患者使用无创呼吸机和心电监护比率高于存活组(P < 0.01)。死亡人数高峰时段主要在冬季。多因素logistic回归分析结果显示:患者年龄每增加1岁、留观时间每增加1 d,死亡风险分别升高至1.057、1.013倍(P < 0.001);诊断有两种以上疾病的留观患者的死亡风险是诊断为1种疾病患者的3.873倍(P < 0.001);以来源于诊室的患者为对照,来源于抢救室的患者死亡风险升高至2.877倍(P < 0.001)。
    结论 医院应该规范危重复杂患者的分流和诊治,合理配置和分配急诊资源,针对高龄、呼吸系统和肿瘤等高危疾病以及季节等因素,加强病情观察,制定有效的防治策略,提高急诊救治的效率和质量。

     

    Abstract:
    Objective To understand the characteristics of patients in the emergency observation room, analyze the factors influencing death, and provide orientation for improving the level of emergency treatment in the hospital.
    Methods The data of all patients discharged from the emergency observation room in a tertiary hospital in Shanghai from January 1 to December 31, 2019 were collected. The patients were divided into the death group and the survival group based on their outcome. The clinical data of two groups were compared, and the characteristics of death cases were analyzed.
    Results In 2019, there were 2 211 patients discharged from the emergency observation room, including 125 deaths and 2 086survivors. Among the surviving patients, 1 183 were discharged(accounting for 56.71%), and 903 were admitted to specialized departments for further treatment(accounting for 43.28%). The median(25th, 75th percentile) observation time was 2.50(1.00, 9.00) days, and 1 076 patients(accounting for 48.67%) had an observation time longer than 72 h. The average age was(67.81 ± 18.87) years, and males accounted for 57.98%(1 282 cases). The death group had a higher incidence of respiratory system diseases and malignant tumors than the survival group, while the survival group had a higher incidence of nervous system diseases(P < 0.01). The frequencies of using non-invasive ventilators and electrocardiogram monitoring in the death group were higher than those in the survival group(P < 0.01). The peak period of death occurrence was mainly in the winter. The multivariate logistic regression analysis showed that the risk of death increased to 1.057 and 1.013 times for every 1 year increment of age and every 1 day increment of staying in observation time, respectively(P < 0.001); the risk of death for patients with two or more diagnosed diseases was 3.873 times that of patients with one diagnosis(P < 0.001); compared with patients from the clinic, the risk of death for patients from the rescue room increased to 2.877 times(P < 0.001).
    Conclusions The hospital should standardize the triage and treatment of critically ill and complicated patients, allocate and distribute emergency resources reasonably, and strengthen the observation of the condition. Effective prevention and treatment strategies should be formulated based on high-risk factors such as old age, respiratory system diseases, tumors, and seasonal variations to improve the efficiency and quality of emergency treatment.

     

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