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实用的实验室指标可预测住院和死亡风险——一项基于人群的 18 年随访研究。

A practical laboratory index to predict institutionalization and mortality - an 18-year population-based follow-up study.

机构信息

Department of Clinical Medicine, Faculty of Medicine, Unit of Clinical Chemistry, Turku University, 20521, Turku, Finland.

Tykslab, Laboratory Division, Turku University Hospital, Hospital District of Southwest Finland, Turku, Finland.

出版信息

BMC Geriatr. 2021 Feb 25;21(1):139. doi: 10.1186/s12877-021-02077-1.

Abstract

BACKGROUND

Previously, several indexes based on a large number of clinical and laboratory tests to predict mortality and frailty have been produced. However, there is still a need for an easily applicable screening tool for every-day clinical practice.

METHODS

A prospective study with 10- and 18-year follow-ups. Fourteen common laboratory tests were combined to an index. Cox regression model was used to analyse the association of the laboratory index with institutionalization and mortality.

RESULTS

The mean age of the participants (n = 1153) was 73.6 (SD 6.8, range 64.0-100.0) years. Altogether, 151 (14.8%) and 305 (29.9%) subjects were institutionalized and 422 (36.6%) and 806 (69.9%) subjects deceased during the 10- and 18-year follow-ups, respectively. Higher LI (laboratory index) scores predicted increased mortality. Mortality rates increased as LI scores increased both in unadjusted and in age- and gender-adjusted models during both follow-ups. The LI did not significantly predict institutionalization either during the 10- or 18-year follow-ups.

CONCLUSIONS

A practical index based on routine laboratory tests can be used to predict mortality among older people. An LI could be automatically counted from routine laboratory results and thus an easily applicable screening instrument in clinical settings.

摘要

背景

此前,已经有几项基于大量临床和实验室测试的指数被开发出来,用于预测死亡率和虚弱程度。然而,在日常临床实践中,仍然需要一种易于应用的筛选工具。

方法

这是一项前瞻性研究,随访时间为 10 年和 18 年。将 14 项常见的实验室测试组合成一个指数。使用 Cox 回归模型分析实验室指数与住院和死亡率的关系。

结果

参与者的平均年龄(n=1153)为 73.6(SD 6.8,范围 64.0-100.0)岁。在 10 年和 18 年的随访中,共有 151 人(14.8%)和 305 人(29.9%)住院,422 人(36.6%)和 806 人(69.9%)死亡。较高的 LI(实验室指数)得分预示着死亡率的增加。在未调整和年龄及性别调整模型中,LI 得分越高,死亡率在两次随访中均增加。LI 在 10 年和 18 年的随访中均未显著预测住院。

结论

基于常规实验室测试的实用指数可用于预测老年人的死亡率。LI 可以自动从常规实验室结果中计算出来,因此是临床环境中一种易于应用的筛选工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f345/7905906/c146e5cdc597/12877_2021_2077_Fig1_HTML.jpg

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