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电子自我评估功能能力与运动测试:杜克活动状态指数与患者报告结局测量信息系统工具的比较

Electronically self-assessed functional capacity and exercise testing: A comparison of the Duke Activity Status Index and Patient-Reported Outcomes Measurement Information System tools.

作者信息

Coute Ryan A, Ehrenfeld Jesse M, Gupta Deepak K, Terekhov Maxim A, Wanderer Jonathan P

机构信息

Department of Anesthesiology, Vanderbilt University School of Medicine, Nashville, TN; Kansas City University of Medicine and Biosciences, Kansas City, MO.

Department of Anesthesiology, Vanderbilt University School of Medicine, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN; Department of Surgery, Vanderbilt University School of Medicine, Nashville, TN; Department of Health Care Policy, Vanderbilt University, Nashville, TN.

出版信息

Am Heart J. 2017 Jun;188:82-86. doi: 10.1016/j.ahj.2017.03.005. Epub 2017 Mar 14.

DOI:10.1016/j.ahj.2017.03.005
PMID:28577684
Abstract

PURPOSE

Electronic screening tools, such as Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function Short-Form 12a (PF-SF12a), may aid in the assessment of functional capacity. However, PROMIS PF-SF12a has not been validated against exercise capacity, or compared with established questionnaires, including the Duke Activity Status Index (DASI). We compared the DASI and PROMIS PF-SF12a to the maximum metabolic equivalents (METs) achieved during exercise stress testing.

METHODS

DASI and PROMIS PF-SF12a were electronically administered to 100 adult patients (median age 56years, 61% male) immediately before exercise stress testing. DASI-predicted METs and PROMIS T score were calculated. Correlations with exercise METs with and without age adjustment were examined. Linear regression lines were derived and adjusted r statistic was calculated. We compared models with the Davidson-Mackinnon J test.

RESULTS

The median (interquartile range) DASI-predicted METs, PROMIS Tscore, and exercise METs were 8.97 (7.61-9.89), 47.90 (43.33-52.40), and 10.10 (10.10-12.80), respectively. In unadjusted correlation analyses, PROMIS accounted for 26% of the variance in exercise METs compared with 38% with DASI. With age adjustment, the rvalues increased to 0.36 (PROMIS) and 0.46 (DASI). In both unadjusted and age-adjusted analyses, inclusion of DASI improved prediction of exercise METs beyond PROMIS T score (P<.0001). In contrast, PROMIS T score did not improve exercise MET prediction compared with DASI alone (P>.10).

CONCLUSION

Among patients undergoing clinically indicated exercise stress testing, DASI outperformed PROMIS PF-SF12a as a predictor of exercise METs.

摘要

目的

电子筛查工具,如患者报告结局测量信息系统(PROMIS)身体功能简表12a(PF-SF12a),可能有助于评估功能能力。然而,PROMIS PF-SF12a尚未针对运动能力进行验证,也未与包括杜克活动状态指数(DASI)在内的既定问卷进行比较。我们将DASI和PROMIS PF-SF12a与运动负荷测试期间达到的最大代谢当量(METs)进行了比较。

方法

在运动负荷测试前,对100名成年患者(中位年龄56岁,61%为男性)进行电子方式的DASI和PROMIS PF-SF12a评估。计算DASI预测的METs和PROMIS T分数。检查了有无年龄调整时与运动METs的相关性。得出线性回归线并计算调整后的r统计量。我们用戴维森-麦金农J检验比较模型。

结果

DASI预测的METs、PROMIS T分数和运动METs的中位数(四分位间距)分别为8.97(7.61 - 9.89)、47.90(43.33 - 52.40)和10.10(10.10 - 12.80)。在未调整的相关性分析中,PROMIS占运动METs方差的26%,而DASI为38%。进行年龄调整后,r值分别增至0.36(PROMIS)和0.46(DASI)。在未调整和年龄调整分析中,纳入DASI均能改善对运动METs的预测,超过PROMIS T分数(P<0.0001)。相比之下,与单独使用DASI相比,PROMIS T分数并未改善对运动METs的预测(P>0.10)。

结论

在接受临床指示的运动负荷测试的患者中,作为运动METs的预测指标,DASI的表现优于PROMIS PF-SF12a。

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