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应用基于行政数据的编码算法评估肝硬化患者的衰弱状况

Applying Administrative Data-Based Coding Algorithms for Frailty in Patients With Cirrhosis.

作者信息

Louissaint Jeremy, Murphy Susan L, Sonnenday Christopher J, Lok Anna S, Tapper Elliot B

机构信息

Division of Gastroenterology and Hepatology University of Michigan Ann Arbor MI Department of Physical Medicine and Rehabilitation University of Michigan Ann Arbor MI Geriatric Research Education and Clinical Center VA Ann Arbor Healthcare System Ann Arbor MI Section of TransplantationDepartment of Surgery University of Michigan Ann Arbor MI Gastroenterology Section VA Ann Arbor Healthcare System Ann Arbor MI.

出版信息

Liver Transpl. 2021 Oct;27(10):1401-1411. doi: 10.1002/lt.26078. Epub 2021 Jul 31.

Abstract

Frailty is a powerful prognostic tool in cirrhosis. Claims-based frailty scores estimate the presence of frailty without the need for in-person evaluation. These algorithms have not been validated in cirrhosis. Whether they measure true frailty or perform as well as frailty in outcome prediction is unknown. We evaluated 2 claims-based frailty scores-Hospital Frailty Risk Score (HFRS) and Claims-Based Frailty Index (CFI)-in 3 prospective cohorts comprising 1100 patients with cirrhosis. We assessed differences in neuromuscular/neurocognitive capabilities in those classified as frail or nonfrail based on each score. We assessed the ability of the indexes to discriminate frailty based on the Fried Frailty Index (FFI), chair stands, activities of daily living (ADL), and falls. Finally, we compared the performance of claims-based frailty measures and physical frailty measures to predict transplant-free survival using competing risk regression and patient-reported outcomes. The CFI identified neuromuscular deficits (balance, chair stands, hip strength), whereas the HFRS only identified poor chair-stand performance. The CFI had areas under the receiver operating characteristic curve (AUROCs) for identifying frailty as measured by the FFI, ADL, and falls of 0.57, 0.60, and 0.68, respectively; similarly, the AUROCs were 0.66, 0.63, and 0.67, respectively, for the HFRS. Claims-based frailty scores were associated with poor quality of life and sleep but were outperformed by the FFI and chair stands. The HFRS, per 10-point increase (but not the CFI) predicted survival of patients in the liver transplantation (subdistribution hazard ratio [SHR], 1.08; 95% confidence interval [CI], 1.03-1.12) and non-liver transplantation cohorts (SHR, 1.13; 95% CI, 1.05-1.22). Claims-based frailty scores do not adequately associate with physical frailty but are associated with important cirrhosis-related outcomes.

摘要

衰弱是肝硬化中一种强大的预后工具。基于索赔的衰弱评分可在无需进行面对面评估的情况下估计衰弱的存在。这些算法尚未在肝硬化中得到验证。它们是否能衡量真正的衰弱或在结局预测方面与衰弱表现相当尚不清楚。我们在由1100例肝硬化患者组成的3个前瞻性队列中评估了2种基于索赔的衰弱评分——医院衰弱风险评分(HFRS)和基于索赔的衰弱指数(CFI)。我们根据每个评分评估了被分类为衰弱或非衰弱患者在神经肌肉/神经认知能力方面的差异。我们基于弗里德衰弱指数(FFI)、从椅子上站起、日常生活活动(ADL)和跌倒情况评估了这些指数区分衰弱的能力。最后,我们使用竞争风险回归和患者报告的结局比较了基于索赔的衰弱测量方法和身体衰弱测量方法预测无移植生存的性能。CFI识别出神经肌肉缺陷(平衡、从椅子上站起、髋部力量),而HFRS仅识别出从椅子上站起的表现不佳。CFI在通过FFI、ADL和跌倒情况衡量识别衰弱方面的受试者工作特征曲线下面积(AUROC)分别为0.57、0.60和0.68;同样,HFRS的AUROC分别为0.66、0.63和0.67。基于索赔的衰弱评分与生活质量和睡眠质量差相关,但在预测能力上不如FFI和从椅子上站起的测试。HFRS每增加10分(但CFI不是)可预测肝移植队列(亚分布风险比[SHR],1.08;95%置信区间[CI],1.03 - 1.12)和非肝移植队列(SHR,1.13;95% CI,1.05 - 1.22)患者的生存情况。基于索赔的衰弱评分与身体衰弱的关联不充分,但与重要的肝硬化相关结局有关。

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