Predictive value of shoulder joint anatomical features to the small and medium rotator cuffre-tear rate after rehabilitation / 中华骨科杂志

ABSTRACT

Objective:To explore the correlation between the anatomical features of shoulder joint and the re-tear rate after surgical repair for small and medium-sized rotator cuff tears.Methods:From June 2017 to June 2019, 55 patients who were diagnosed with small or medium-sized rotator cuff tears and treated with arthroscopic single-row repair were enrolled. Demographics including age, sex, disease course, history of smoking and diabetes mellitus, re-tear rates, Constant-Murley score, University of California, Los Angeles score (UCLA) at 6-month, 1-year, 2-year and 3-year after operation were collected. Postoperative critical shoulder angle (CSA) and acromial index (AI) were measured and calculated based on CT scan. The patients were divided into two groups: patients who got re-tear history during follow-up were included into endpoint re-tear (ER) group, and those who got no re-tear history during follow-up were included into endpoint non-tear (EN) group. One-way Anova was used to compare the CSA\AI among different follow-up point. Fisher's exact test was used to compare sex, morbidity of smoking and diabetes between the ER and EN groups. Two independent samples t-test were used to compare age, disease course, CSA and AI at 1-day after operation, functional scores at each follow-up point between the two groups. Binomial logistic regression analysis was performed to test CSA and AI at 1-day after operation as the risk factors of rotator cuff re-tear at 6-month, 1-year, 2-year and 3-year after operation. The predictive efficacy of CSA and AI at 1-day after operation on re-tear rate at 3-year after operation were evaluated by receiver operating characteristic (ROC) curves, Pearson correlation analysis was used to evaluate the correlation between postoperative CSA/AI and postoperative functional recovery. Results:The CSA and AI of ER group were insignificantly different among all follow-up point ( P>0.05), the CSA and AI of EN group were significantly different among all follow-up point ( F=14.163, P<0.001; F=4.635, P<0.001). The re-tear rates at 6-month, 1-year, 2-year and 3-year after operation were 3.6%, 7.3%, 12.7%, 18.2%. The Constant-Murley score and UCLA scores of ER group at 3-year after operation were 93.60±2.84 and 32.30±1.49, respectively while in EN group, they were 92.11±4.10 and 33.18±1.27, respectively, there were no difference of the Constant-Murley score and UCLA score between ER and EN group at 3-year after operation ( P>0.05). CSA at 1-day after operation was the risk factor to re-tear at 1-year, 2-year and 3-year after operation [ OR=4.622, 95% CI (1.01, 21.06), P=0.048; OR=7.071, 95% CI (1.52, 32.87), P=0.013; OR=3.40, 95% CI (1.42, 8.12), P=0.006]. CSA and AI at 1-day after operation had certain predictive efficacy for rotator cuff re-tear at 3-year after rehabilitation, and CSA was more specific than AI, the optimal cutoff values of CSA and AI at 1-day after operation for predicting rotator cuff re-tear at 3-year after operation were 35.3°and 0.69, the AUC were 0.87 [ OR=3.40, 95% CI (1.42, 8.12), P<0.001]、0.77 [ OR=1.33, 95% CI (0.87, 2.02), P=0.008] respectively. CSA and AI had no relationship with postoperative functional recovery. Conclusion:Greater CSA and AI were predictive factors of small and medium-sized rotator cuff re-tear 1-3 years after surgery with CSA being more specific than AI. However, CSA and AI had no relationship with postoperative functional recovery.