Patellar tendon (PT) and quadriceps tendon (QT) ruptures represent significant injuries and warrant surgical intervention in most patients. Outcome data are predominantly retrospective analyses with low sample sizes. There are also minimal data comparing QT and PT repairs and the variables impacting patient outcomes. The level of evidence of the study is level II (prognosis). From the prospective OME cohort, 189 PT or QT repairs were performed between February 2015 and October 2019. Of these, 178 were successfully enrolled (94.2%) with 1-year follow-up on 141 (79.2%). Baseline demographic data included age, sex, race, BMI, years of education, smoking status, and baseline VR-12 MCS score. Surgical and follow-up data included surgeon volume, fixation technique, baseline, and 1-year Knee Injury and Osteoarthritis Outcome Score-Pain (KOOS-Pain), Knee Injury and Osteoarthritis Outcome Score—Physical Function (KOOS-PS), and 1-year Patient Acceptable Symptom State (PASS) scores and complications. Multivariable regression analysis was utilized to identify prognosis and significant risk factors for outcomes—specifically, whether KOOS-Pain or KOOS-PS were different between QT versus PT repairs. There were 59 patients in the PT cohort and 82 patients in QT cohort. Baseline demographic data demonstrated that PT cohort was younger (45.1 vs. 59.5 years, p <0.001), included significantly fewer patients of White race (51.7 vs. 80.0%, p = 0.001), lesser number of years of education (13.9 vs. 15.2 years, p = 0.020), a higher percentage of “high” surgeon volume (72.9% vs. 43.9%, p = 0.001) and 25.4% of PT repairs had supplemental fixation (QT had zero, p <0.001). Multivariable analysis identified gender (female-worse, p = 0.001), years of education (higher-better, p = 0.02), and baseline KOOS-Pain score (higher-better, p <0.001) as the risk factors that significantly predicted KOOS-Pain score. The risk factors that significantly predicted KOOS-PS were gender (female worse, p = 0.033), race (non-White-worse, p <0.001), baseline VR-12 MCS score (higher-better, p <0.001), and baseline KOOS-PS score (higher better, p = 0.029). KOOS-Pain and KOOS-PS scores improved after both QT and PT repairs. Patient reported pain and function at 1 year were similar between PT and QT repairs after adjusting for known risk factors. Multivariable analysis identified female gender and low baseline KOOS scores as predictors for worse outcomes.

髌腱 (PT) 和股四头肌腱 (QT) 断裂代表严重损伤，对大多数患者来说需要手术干预。结果数据主要是样本量较小的回顾性分析。比较 QT 和 PT 修复以及影响患者结果的变量的数据也很少。该研究的证据级别为II级（预后）。在前瞻性 OME 队列中，2015 年 2 月至 2019 年 10 月期间进行了 189 例 PT 或 QT 修复。其中，178 例（94.2%）成功入组，141 例（79.2%）进行了 1 年随访。基线人口数据包括年龄、性别、种族、BMI、受教育年限、吸烟状况和基线 VR-12 MCS 评分。手术和随访数据包括外科医生数量、固定技术、基线和 1 年膝关节损伤和骨关节炎结果评分 - 疼痛 (KOOS-Pain)、膝关节损伤和骨关节炎结果评分 - 身体功能 (KOOS-PS) 和 1年患者可接受症状状态 (PASS) 评分和并发症。利用多变量回归分析来确定预后和影响结果的重要危险因素，具体来说，QT 与 PT 修复之间的 KOOS-Pain 或 KOOS-PS 是否不同。PT 队列中有 59 名患者，QT 队列有 82 名患者。基线人口统计数据表明，PT 队列更年轻（45.1 岁 vs. 59.5 岁，p <0.001），包括明显较少的白人患者（51.7% vs. 80.0%，p  = 0.001），受教育年限较少（13.9 岁 vs. 13.9%，p = 0.001）。 15.2 年，p  = 0.020），较高比例的“高”外科医生体积（72.9% vs. 43.9%，p  = 0.001）和 25.4% 的 PT 修复进行了补充固定（QT 为零，p <0.001）。多变量分析确定性别（女性较差，p  = 0.001）、受教育年限（较高 - 更好，p  = 0.02）和基线 KOOS 疼痛评分（较高 - 更好，p <0.001）作为显着预测 KOOS 的危险因素-疼痛评分。显着预测 KOOS-PS 的风险因素包括性别（女性较差，p  = 0.033）、种族（非白人较差，p <0.001）、基线 VR-12 MCS 评分（较高-更好，p <0.001）和基线 KOOS-PS 评分（越高越好，p  = 0.029）。QT 和 PT 修复后 KOOS-Pain 和 KOOS-PS 评分均有所改善。在调整已知的风险因素后，患者报告的 1 年疼痛和功能在 PT 和 QT 修复之间相似。多变量分析确定女性性别和低基线 KOOS 分数是更糟糕结果的预测因素。