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医生使用基于电子病历的疾病活动度计算器评估类风湿性关节炎疾病活动度的能力。

Physician ability to assess rheumatoid arthritis disease activity using an electronic medical record-based disease activity calculator.

作者信息

Collier Deborah S, Grant Richard W, Estey Greg, Surrao Dominic, Chueh Henry C, Kay Jonathan

机构信息

Massachusetts General Hospital, Boston, MA, USA.

出版信息

Arthritis Rheum. 2009 Apr 15;61(4):495-500. doi: 10.1002/art.24335.

Abstract

OBJECTIVE

To assess physicians' concordance with Disease Activity Score in 28 joints (DAS28) categories calculated by an electronic medical record (EMR)-embedded disease activity calculator, as well as attitudes toward this application.

METHODS

Fifteen rheumatologists used the EMR-embedded disease activity calculator to predict a rheumatoid arthritis (RA) DAS28 disease activity category at the time of each clinical encounter.

RESULTS

Physician-predicted DAS28 disease activity categories ranged from high (>5.1, 15% of cohort, 66 of 429 patient visits) to moderate (>3.2-5.1, 21% of cohort, 90 of 429 patient visits) to low (2.6-3.2, 29% of cohort, 123 of 429 patient visits) to remission (<2.6, 35% of cohort, 150 of 429 patient visits). Overall concordance between calculated DAS28 results and physician-predicted RA disease activity was 64%. Using either the physician-predicted or the calculated DAS28 category as the gold standard, accuracy was greatest for patients in remission (75% and 88% accuracy, respectively) and those with high disease activity (68% and 79% accuracy, respectively), and less for patients with moderate (48% and 62% accuracy, respectively) or low disease activity (62% and 31% accuracy, respectively).

CONCLUSION

Accurate physician prediction of DAS28 remission and high disease activity categories, even without immediate availability of the erythrocyte sedimentation rate or the C-reactive protein level at the time of the visit, may be used to guide quantitatively driven outpatient RA management.

摘要

目的

评估医生对通过电子病历(EMR)内嵌的疾病活动度计算器计算得出的28个关节疾病活动评分(DAS28)类别的一致性,以及对该应用程序的态度。

方法

15名风湿病学家在每次临床会诊时使用EMR内嵌的疾病活动度计算器来预测类风湿关节炎(RA)的DAS28疾病活动类别。

结果

医生预测的DAS28疾病活动类别范围从高(>5.1,占队列的15%,429次患者就诊中的66次)到中度(>3.2 - 5.1,占队列的21%,429次患者就诊中的90次)到低(2.6 - 3.2,占队列的29%,429次患者就诊中的123次)到缓解(<2.6,占队列的35%,429次患者就诊中的150次)。计算得出的DAS28结果与医生预测的RA疾病活动度之间的总体一致性为64%。以医生预测的或计算得出的DAS28类别作为金标准,缓解期患者的准确性最高(分别为75%和88%),疾病活动度高的患者次之(分别为68%和79%),中度(分别为48%和62%)或低度疾病活动度患者的准确性较低(分别为62%和31%)。

结论

即使在就诊时无法立即获取红细胞沉降率或C反应蛋白水平,医生对DAS28缓解期和高疾病活动度类别的准确预测也可用于指导定量驱动的门诊RA管理。

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