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非特异性临床表现没有预后意义,也不能预测住院时间或资源利用。

Non-Specific Clinical Presentations are Not Prognostic and do not Anticipate Hospital Length of Stay or Resource Utilization.

机构信息

Department of Internal Medicine, St James's Hospital, Dublin 8, Ireland.

Department of Internal Medicine, St James's Hospital, Dublin 8, Ireland.

出版信息

Eur J Intern Med. 2021 May;87:75-82. doi: 10.1016/j.ejim.2021.02.004. Epub 2021 Feb 16.

Abstract

AIM

To investigate whether a specific (SP) or non-specific (NSP) clinical presentation, predicts prognosis and in-hospital resource utilization in emergency medical admissions.

METHODS

We studied admissions over 5 years (2015-2019) and classified the symptom presentation as SP or NSP. The predictive capacity of the NSP category was related to 30-day in-hospital mortality with a multivariable logistic regression model. Utilization of procedures/services was related to hospital length of stay (LOS) with zero truncated Poisson regression.

RESULTS

There were 39,776 admissions in 23,995 patients. A NSP occurred in 18.2% of our top 20 clinical presentations; the top five being shortness of breath (12.8%), 'unwell' (7.1%), collapse (4.1%), abdominal pain (3.6%) and headache (2.7%). Baseline demographic characteristics were similar and unrelated to type of presentation; the model adjusted mortality by SP 4.0% (95% CI: 3.8%, 4.2%) or NSP 3.9% (95% CI: 3.5%, 4.4%) was identical. LOS was a dependant quantitative function of procedures/services undertaken; for the top two presentations of shortness of breath (SP) or unwell (NSP) there was no relationship between a SP or NSP presentation and hospital utilization of procedures/services or LOS.

CONCLUSION

Our data suggest no utility for a categorisation of presentations as specific or non-specific in terms of provision of prognostic information nor as an indicator of the pattern of hospital investigation or LOS.

摘要

目的

探讨特定(SP)或非特定(NSP)临床表现是否能预测急诊医疗入院患者的预后和住院资源利用情况。

方法

我们研究了 5 年(2015-2019 年)的入院情况,并将症状表现分类为 SP 或 NSP。使用多变量逻辑回归模型,将 NSP 类别与 30 天院内死亡率相关联。使用零截断泊松回归模型,将程序/服务的使用与住院时间(LOS)相关联。

结果

共有 39776 例患者接受了 23995 次入院治疗。前 20 种临床表现中有 18.2%为 NSP;排名前五的分别是呼吸困难(12.8%)、“不适”(7.1%)、晕厥(4.1%)、腹痛(3.6%)和头痛(2.7%)。基线人口统计学特征相似,与表现类型无关;模型调整后 SP 组死亡率为 4.0%(95%CI:3.8%,4.2%),NSP 组为 3.9%(95%CI:3.5%,4.4%)。LOS 是接受程序/服务的数量依赖性定量函数;对于前两种表现为呼吸困难(SP)或不适(NSP),SP 或 NSP 表现与医院程序/服务的使用或 LOS 之间没有关系。

结论

我们的数据表明,在提供预后信息方面,将表现分类为特定或非特定或作为医院检查或 LOS 模式的指标并没有实际意义。

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