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功能障碍对预测死亡率的重要性及附加价值:一项针对瑞典住院患者的队列研究

Importance and added value of functional impairment to predict mortality: a cohort study in Swedish medical inpatients.

作者信息

Torisson Gustav, Stavenow Lars, Minthon Lennart, Londos Elisabet

机构信息

Department of Clinical Sciences, Clinical Memory Research Unit, Lund University, Malmö, Sweden.

Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden.

出版信息

BMJ Open. 2017 May 30;7(5):e014464. doi: 10.1136/bmjopen-2016-014464.

Abstract

BACKGROUND

Accurate estimation of prognosis in multimorbid hospital patients could improve quality of care. This study aims to determine the relative importance and added value of a performance-based activities of daily living (ADL) measure with regard to mortality prediction.

METHODS

200 inpatients, aged over 60 years, were recruited at the Department of General Internal Medicine at a tertiary university hospital. Two nested survival models were built, one with established risk factors (age, sex, Charlson comorbidity index, haemoglobin, albumin, body mass index and glomerular filtration rate), and one using the same covariates with the Gottfries-Bråne-Steen (GBS)-ADL measure added. The relative importance of GBS-ADL was evaluated in the full model. The added value of GBS-ADL was determined by comparing the nested models using four approaches: difference in overall χ, discrimination, continuous net reclassification index (NRI >0) and integrated discrimination improvement (IDI).

RESULTS

In the full model, GBS-ADL was the single most important predictor of mortality (χ-df=30, p<0.001). The likelihood ratio χ test showed significant added value of ADL (p<0.001). The C-statistic was 0.78 with ADL and 0.72 without (difference 0.058, 95% CI 0.022 to 0.094). The NRI >0 was 0.42 (95% CI 0.20 to 0.58) and IDI 0.15 (95% CI 0.07 to 0.22).

CONCLUSIONS

Compared with a set of available clinical risk factors, impairment in ADL was a stronger predictor of all-cause mortality, showing substantial added value. Implementing quantitative ADL measurements could enable more appropriate and individual care for the elderly.

摘要

背景

准确评估多病共存的住院患者的预后可改善医疗质量。本研究旨在确定基于表现的日常生活活动(ADL)测量在死亡率预测方面的相对重要性和附加价值。

方法

在一所三级大学医院的普通内科招募了200名60岁以上的住院患者。构建了两个嵌套生存模型,一个包含既定风险因素(年龄、性别、查尔森合并症指数、血红蛋白、白蛋白、体重指数和肾小球滤过率),另一个使用相同的协变量并添加了戈特弗里茨-布劳内-斯滕(GBS)-ADL测量值。在完整模型中评估GBS-ADL的相对重要性。通过四种方法比较嵌套模型来确定GBS-ADL的附加价值:总体χ²差异、辨别力、连续净重新分类指数(NRI>0)和综合辨别力改善(IDI)。

结果

在完整模型中,GBS-ADL是死亡率的单一最重要预测因素(χ²自由度=30,p<0.001)。似然比χ²检验显示ADL具有显著的附加价值(p<0.001)。有ADL时C统计量为0.78,无ADL时为0.72(差异0.058,95%CI 0.022至0.094)。NRI>0为0.42(95%CI 0.20至0.58),IDI为0.15(95%CI 0.07至0.22)。

结论

与一组现有的临床风险因素相比,ADL受损是全因死亡率更强的预测因素,显示出显著的附加价值。实施定量ADL测量可为老年人提供更合适的个性化护理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b425/5730010/353666247aa3/bmjopen-2016-014464f01.jpg

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