Department of Orthopaedic Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Am J Sports Med. 2024 Jan;52(1):116-123. doi: 10.1177/03635465231210303.
Preoperative risk factors contributing to poor outcomes after arthroscopic partial meniscectomy (APM) have not yet been consolidated and codified into an index scoring system used to predict APM success.
To create an index score using available preoperative factors to predict the likelihood of favorable postoperative outcomes after APM.
Case-control study; Level of evidence, 3.
A consecutive cohort of patients undergoing primary APM were enrolled in this study. Patients completed pre- and postoperative patient-reported outcome measure (PROM) questionnaires that included the Knee injury and Osteoarthritis Outcome Score (KOOS), visual analog scale (VAS) for pain, Veterans RAND 12-Item Health Survey (VR-12 Physical and Mental), and Marx Activity Rating Scale (MARS). Multivariable logistic regression models were performed to evaluate independent predictors of KOOS Pain, Symptoms, and Activities of Daily Living scores and achievement of the minimal clinically important difference (MCID) and substantial clinical benefit (SCB). The authors assigned points to each variable proportional to its odds ratio, rounded to the nearest integer, to generate the index score.
In total, 468 patients (mean age, 49 years [SD, 10.4 years; range, 19-81 years]) were included in this study. In the univariate analysis, shorter symptom duration, lower Kellgren-Lawrence (KL) grade, lower preoperative KOOS Pain value, and lower VR-12 Physical score were associated with a higher likelihood of clinical improvement at 1 year. In the multivariable model for clinical improvement with MCID, symptom duration (<3 months: OR, 3.00 [95% CI, 1.45-6.19]; 3-6 months: OR, 2.03 [95% CI, 1.10-3.72], compared with >6 months), KL grade (grade 0: OR, 3.54 [95% CI, 1.66-7.54]; grade 1: OR, 3.04 [95% CI, 1.48-6.26]; grade 2: OR, 2.31 [95% CI, 1.02-5.27], compared with grade 3), and preoperative KOOS Pain value (score <45: OR, 3.00 [95% CI, 1.57-5.76]; score of 45-60: OR, 2.80 [95% CI, 1.47-5.35], compared with score >60) were independent significant predictors for clinical improvement. The scoring algorithm demonstrated that a higher total score predicted a higher likelihood of achieving the MCID: 0 = 40%, 1 = 68%, 2 = 80%, 3 = 89%, and 4 = 96%.
Using this model, the authors developed an index score that, using preoperative factors, can help identify which patients will achieve clinical improvement after APM. Longer symptom duration and higher KL grade were associated with a decreased likelihood of clinical improvement as measured by KOOS Pain at 1 year postoperatively.
导致关节镜下半月板部分切除术(APM)后预后不良的术前危险因素尚未被综合并编码为用于预测 APM 成功的指数评分系统。
使用现有的术前因素创建一个指数评分,以预测 APM 后获得良好术后结果的可能性。
病例对照研究;证据水平,3 级。
本研究纳入了接受初次 APM 的连续队列患者。患者在术前和术后完成了患者报告的结局测量(PROM)问卷,包括膝关节损伤和骨关节炎结果评分(KOOS)、疼痛视觉模拟量表(VAS)、退伍军人 RAND 12 项健康调查(VR-12 身体和精神)和 Marx 活动评分量表(MARS)。进行多变量逻辑回归模型以评估 KOOS 疼痛、症状和日常生活活动评分以及实现最小临床重要差异(MCID)和显著临床获益(SCB)的独立预测因素。作者根据每个变量的优势比为每个变量分配分数,四舍五入到最接近的整数,以生成指数评分。
共有 468 名患者(平均年龄,49 岁[标准差,10.4 岁;范围,19-81 岁])纳入本研究。在单变量分析中,症状持续时间较短、较低的 Kellgren-Lawrence(KL)分级、较低的术前 KOOS 疼痛值和较低的 VR-12 身体评分与 1 年时临床改善的可能性更高相关。在用于 MCID 的临床改善的多变量模型中,症状持续时间(<3 个月:比值比,3.00[95%置信区间,1.45-6.19];3-6 个月:比值比,2.03[95%置信区间,1.10-3.72],与>6 个月相比)、KL 分级(0 级:比值比,3.54[95%置信区间,1.66-7.54];1 级:比值比,3.04[95%置信区间,1.48-6.26];2 级:比值比,2.31[95%置信区间,1.02-5.27],与 3 级相比)和术前 KOOS 疼痛值(<45 分:比值比,3.00[95%置信区间,1.57-5.76];45-60 分:比值比,2.80[95%置信区间,1.47-5.35],与>60 分相比)是临床改善的独立显著预测因素。评分算法表明,总分越高,达到 MCID 的可能性越高:0=40%,1=68%,2=80%,3=89%,4=96%。
使用该模型,作者开发了一个指数评分,使用术前因素可以帮助确定哪些患者在 APM 后会获得临床改善。较长的症状持续时间和较高的 KL 分级与术后 1 年 KOOS 疼痛的临床改善可能性降低相关。