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从院前急救中推导和验证用于预测 2 天死亡率的血液生物标志物评分:一项基于多中心、队列、EMS 的研究。

Derivation and validation of a blood biomarker score for 2-day mortality prediction from prehospital care: a multicenter, cohort, EMS-based study.

机构信息

Faculty of Medicine, Universidad de Valladolid, Valladolid, Spain.

Advanced Life Support, Emergency Medical Services (SACYL), Valladolid, Spain.

出版信息

Intern Emerg Med. 2023 Sep;18(6):1797-1806. doi: 10.1007/s11739-023-03268-x. Epub 2023 Apr 20.

Abstract

Identifying potentially life-threatening diseases is a key challenge for emergency medical services. This study aims at examining the role of different prehospital biomarkers from point-of-care testing to derive and validate a score to detect 2-day in-hospital mortality. We conducted a prospective, observational, prehospital, ongoing, and derivation-validation study in three Spanish provinces, in adults evacuated by ambulance and admitted to the emergency department. A total of 23 ambulance-based biomarkers were collected from each patient. A biomarker score based on logistic regression was fitted to predict 2-day mortality from an optimum subset of variables from prehospital blood analysis, obtained through an automated feature selection stage. 2806 cases were analyzed, with a median age of 68 (interquartile range 51-81), 42.3% of women, and a 2-day mortality rate of 5.5% (154 non-survivors). The blood biomarker score was constituted by the partial pressure of carbon dioxide, lactate, and creatinine. The score fitted with logistic regression using these biomarkers reached a high performance to predict 2-day mortality, with an AUC of 0.933 (95% CI 0.841-0.973). The following risk levels for 2-day mortality were identified from the score: low risk (score < 1), where only 8.2% of non-survivors were assigned to; medium risk (1 ≤ score < 4); and high risk (score ≥ 4), where the 2-day mortality rate was 57.6%. The novel blood biomarker score provides an excellent association with 2-day in-hospital mortality, as well as real-time feedback on the metabolic-respiratory patient status. Thus, this score can help in the decision-making process at critical moments in life-threatening situations.

摘要

识别潜在危及生命的疾病是急诊医疗服务的关键挑战。本研究旨在探讨不同的院前生物标志物在即时检测中的作用,以得出并验证一种评分系统,以检测 2 天住院死亡率。我们在西班牙的三个省份进行了一项前瞻性、观察性、院前、持续的推导-验证研究,纳入了通过救护车疏散并收入急诊科的成年人。从每个患者收集了总共 23 个基于救护车的生物标志物。通过自动特征选择阶段,从院前血液分析中获得最佳变量子集,基于逻辑回归拟合生物标志物评分来预测 2 天死亡率。分析了 2806 例病例,中位年龄为 68 岁(四分位距 51-81),42.3%为女性,2 天死亡率为 5.5%(154 例非幸存者)。血液生物标志物评分由二氧化碳分压、乳酸和肌酐组成。使用这些生物标志物拟合的逻辑回归评分在预测 2 天死亡率方面表现出很高的性能,AUC 为 0.933(95%CI 0.841-0.973)。根据评分确定了 2 天死亡率的以下风险水平:低风险(评分<1),其中只有 8.2%的非幸存者被分配到该水平;中风险(1≤评分<4);高风险(评分≥4),2 天死亡率为 57.6%。新型血液生物标志物评分与 2 天院内死亡率密切相关,并能实时反馈患者代谢-呼吸状况。因此,该评分可在危及生命的紧急情况下帮助决策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8295/10504161/a50d9bd4314b/11739_2023_3268_Fig1_HTML.jpg

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