Solberg Muriel J, Alqueza Arnold B, Hunt Tyler J, Higgins Laurence D
Boston Shoulder Institute, Brigham and Women's Hospital, Boston, MA.
Am J Orthop (Belle Mead NJ). 2017 Nov/Dec;46(6):E358-E365.
Shared decision-making provides patients a measure of autonomy in making choices for their health and their future. Patient-reported outcome measures (PROMs) use clinically sensitive and specific metrics to evaluate a patient's self-reported pain, functional ability, and mental state. We conducted a study to create an evidence-based clinical decision-making tool. We used PROMs to create a predictive model of a patient's outcome to help set patient expectations and facilitate a collaborative decision-making environment for patient and physician. The study used a comprehensive prospective database that stores preoperative and 1-year postoperative patient demographics and total shoulder arthroplasty PROM data. Linear regression models were used to evaluate the predictive ability of each factor and the overall predictive ability of each model. One model predicts 1-year postoperative visual analog scale (VAS) pain scores; the other predicts 1-year postoperative American Shoulder and Elbow Surgeons (ASES) Function scores. The total number of observations was 1004 for modeling 1-year postoperative VAS pain scores and 986 for modeling 1-year postoperative ASES Function scores. Regression coefficients and P and ω2 values are reported. Preoperative VAS pain scores predicted 1-year postoperative VAS pain scores (P < .001) but not 1-year postoperative ASES Function scores (P = .485). Preoperative Veterans RAND 12-Item Health Survey (VR-12) mental health component summary (MCS) scores predicted self-reported pain and function (Ps < .001) 1 year after surgery. In these models, preoperative VR-12 MCS score was the most predictive PROM for 1-year postoperative VAS pain score (ω2 = .023) and 1-year postoperative ASES Function score (ω2 = .029). Together, a patient's preoperative VAS pain score, ASES Function score, VR-12 MCS score, age, sex, and type of arthroplasty can provide significant predictive value that may aid in setting appropriate expectations for pain and function 1 year after surgery.
共同决策使患者在为自身健康和未来做出选择时拥有一定程度的自主权。患者报告结局测量指标(PROMs)使用临床敏感且特异的指标来评估患者自我报告的疼痛、功能能力和精神状态。我们开展了一项研究以创建一个基于证据的临床决策工具。我们使用PROMs创建了一个患者结局的预测模型,以帮助设定患者预期,并为患者和医生营造一个协作性的决策环境。该研究使用了一个综合前瞻性数据库,该数据库存储了术前和术后1年的患者人口统计学数据以及全肩关节置换术的PROM数据。线性回归模型用于评估每个因素的预测能力以及每个模型的整体预测能力。一个模型预测术后1年的视觉模拟量表(VAS)疼痛评分;另一个模型预测术后1年的美国肩肘外科医师学会(ASES)功能评分。用于建模术后1年VAS疼痛评分的观察总数为1004例,用于建模术后1年ASES功能评分的观察总数为986例。报告了回归系数以及P值和ω2值。术前VAS疼痛评分可预测术后1年的VAS疼痛评分(P <.001),但不能预测术后1年的ASES功能评分(P = 0.485)。术前退伍军人兰德12项健康调查(VR-12)心理健康分量表总结(MCS)评分可预测术后1年的自我报告疼痛和功能(P <.001)。在这些模型中,术前VR-12 MCS评分是术后1年VAS疼痛评分(ω2 = 0.023)和术后1年ASES功能评分(ω2 = 0.029)最具预测性的PROM。患者的术前VAS疼痛评分、ASES功能评分、VR-12 MCS评分、年龄、性别和关节置换类型共同作用,可提供显著的预测价值,有助于对术后1年的疼痛和功能设定适当的预期。