Suppr超能文献

生物标志物在预测老年急诊科患者死亡率中的价值:一项荷兰前瞻性研究。

Value of biomarkers in predicting mortality in older medical emergency department patients: a Dutch prospective study.

作者信息

Zelis Noortje, Hundscheid Robin, Buijs Jacqueline, De Leeuw Peter W, Raijmakers Maarten Tm, van Kuijk Sander Mj, Stassen Patricia M

机构信息

Department of Internal Medicine and Gastroenterology, Zuyderland Medical Centre, Heerlen, Limburg, The Netherlands.

Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Centre, Maastricht University, Maastricht, Limburg, The Netherlands.

出版信息

BMJ Open. 2021 Jan 31;11(1):e042989. doi: 10.1136/bmjopen-2020-042989.

Abstract

OBJECTIVE

Older emergency department (ED) patients are at high risk of mortality, and it is important to predict which patients are at highest risk. Biomarkers such as lactate, high-sensitivity cardiac troponin T (hs-cTnT), N-terminal pro-B-type natriuretic peptide (NT-proBNP), D-dimer and procalcitonin may be able to identify those at risk. We aimed to assess the discriminatory value of these biomarkers for 30-day mortality and other adverse outcomes.

DESIGN

Prospective cohort study. On arrival of patients, five biomarkers were measured. Area under the curves (AUCs) and interval likelihood ratios (LRs) were calculated to investigate the discriminatory value of the biomarkers.

SETTING

ED in the Netherlands.

PARTICIPANTS

Older (≥65 years) medical ED patients, referred for internal medicine or gastroenterology.

PRIMARY AND SECONDARY OUTCOME MEASURES

30-day mortality was the primary outcome measure, while other adverse outcomes (intensive care unit/medium care unit admission, prolonged length of hospital stay, loss of independent living and unplanned readmission) were the composite secondary outcome measure.

RESULTS

The median age of the 450 included patients was 79 years (IQR 73-85). In total, 51 (11.3%) patients died within 30 days. The AUCs of all biomarkers for prediction of mortality were sufficient to good, with the highest AUC of 0.73 for hs-cTnT and NT-proBNP. Only for the highest lactate values, the LR was high enough (29.0) to be applicable for clinical decision making, but this applied to a minority of patients. The AUC for the composite secondary outcome (intensive and medium care admission, length of hospital stay >7 days, loss of independent living and unplanned readmission within 30 days) was lower, ranging between 0.58 and 0.67.

CONCLUSIONS

Although all five biomarkers predict 30-day mortality in older medical ED patients, their individual discriminatory value was not high enough to contribute to clinical decision making.

TRIAL REGISTRATION NUMBER

NCT02946398; Results.

摘要

目的

老年急诊科(ED)患者死亡风险高,预测哪些患者风险最高很重要。乳酸、高敏心肌肌钙蛋白T(hs-cTnT)、N末端B型利钠肽原(NT-proBNP)、D-二聚体和降钙素原等生物标志物或许能够识别出有风险的患者。我们旨在评估这些生物标志物对30天死亡率及其他不良结局的鉴别价值。

设计

前瞻性队列研究。患者到达时,检测五种生物标志物。计算曲线下面积(AUC)和区间似然比(LR)以研究生物标志物的鉴别价值。

地点

荷兰的急诊科。

参与者

年龄较大(≥65岁)的医学急诊科患者,转诊至内科或胃肠病科。

主要和次要结局指标

30天死亡率是主要结局指标,而其他不良结局(入住重症监护病房/中级护理病房、住院时间延长、失去独立生活能力和计划外再次入院)是综合次要结局指标。

结果

纳入的450例患者的中位年龄为79岁(四分位间距73 - 85岁)。共有51例(11.3%)患者在30天内死亡。所有生物标志物预测死亡率的AUC为中等至良好,hs-cTnT和NT-proBNP的AUC最高,为0.73。仅对于乳酸值最高的情况,LR足够高(29.0)可应用于临床决策,但这仅适用于少数患者。综合次要结局(入住重症和中级护理病房、住院时间>7天、失去独立生活能力和30天内计划外再次入院)的AUC较低,在0.58至0.67之间。

结论

虽然所有五种生物标志物都可预测老年医学急诊科患者的30天死亡率,但其个体鉴别价值不足以辅助临床决策。

试验注册号

NCT02946398;结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c9d/7852925/44503773f753/bmjopen-2020-042989f01.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验