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利用生命体征快速轻松地将急性病患者归入具有临床意义的病理生理类别:从两个不同的急性病患者人群中推导出并验证出 8 个病理生理类别。

Using Vital Signs to Place Acutely Ill Patients Quickly and Easily into Clinically Helpful Pathophysiologic Categories: Derivation and Validation of Eight Pathophysiologic Categories in Two Distinct Patient Populations of Acutely Ill Patients.

机构信息

Department of Emergency Medicine, University Hospital Odense, Odense, Denmark.

School of Clinical and Biomedical Sciences, Faculty of Health and Wellbeing, Bolton University, Bolton, UK.

出版信息

J Emerg Med. 2023 Feb;64(2):136-144. doi: 10.1016/j.jemermed.2022.12.024. Epub 2023 Feb 21.

DOI:10.1016/j.jemermed.2022.12.024
PMID:36813644
Abstract

BACKGROUND

Early warning scores reliably identify patients at risk of imminent death, but do not provide insight into what may be wrong with the patient or what to do about it.

OBJECTIVE

Our aim was to explore whether the Shock Index (SI), pulse pressure (PP), and ROX Index can place acutely ill medical patients in pathophysiologic categories that could indicate the interventions required.

METHODS

A retrospective post-hoc analysis of previously obtained and reported clinical data for 45,784 acutely ill medical patients admitted to a major regional referral Canadian hospital between 2005 and 2010 and validated on 107,546 emergency admissions to four Dutch hospitals between 2017 and 2022.

RESULTS

SI, PP, and ROX values divided patients into eight mutually exclusive physiologic categories. Mortality was highest in patient categories that included ROX Index value < 22, and a ROX Index value < 22 multiplied the risk of any other abnormality. Patients with a ROX Index value < 22, PP < 42 mm Hg, and SI > 0.7 had the highest mortality and accounted for 40% of deaths within 24 h of admission, whereas patients with a PP ≥ 42 mm Hg, SI ≤ 0.7, and ROX Index value ≥ 22 had the lowest risk of death. These results were the same in both the Canadian and Dutch patient cohorts.

CONCLUSIONS

SI, PP, and ROX Index values can place acutely ill medical patients into eight mutually exclusive pathophysiologic categories with different mortality rates. Future studies will assess the interventions needed by these categories and their value in guiding treatment and disposition decisions.

摘要

背景

早期预警评分能够可靠地识别即将死亡风险的患者,但无法提供有关患者具体问题所在或应采取何种措施的信息。

目的

我们旨在探讨休克指数(SI)、脉搏压(PP)和 ROX 指数是否可以将急性病患者置于病理生理类别中,从而指示所需的干预措施。

方法

对 2005 年至 2010 年间在一家加拿大主要地区转诊医院收治的 45784 例急性病患者的临床数据进行回顾性后分析,并在 2017 年至 2022 年间对荷兰 4 家医院的 107546 例急诊入院患者进行验证。

结果

SI、PP 和 ROX 值将患者分为 8 个互斥的生理类别。ROX 指数值<22 的患者类别死亡率最高,ROX 指数值<22 会使任何其他异常的风险增加。ROX 指数值<22、PP<42mmHg 和 SI>0.7 的患者具有最高的死亡率,占入院后 24 小时内死亡的 40%,而 PP≥42mmHg、SI≤0.7 和 ROX 指数值≥22 的患者死亡率最低。这些结果在加拿大和荷兰的患者队列中均相同。

结论

SI、PP 和 ROX 指数值可以将急性病患者分为 8 个互斥的病理生理类别,这些类别具有不同的死亡率。未来的研究将评估这些类别所需的干预措施及其在指导治疗和处置决策方面的价值。

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