Risk factors for rotator cuff tear and corresponding prediction efficacy
10.3760/cma.j.cn501098-20210817-00443
- VernacularTitle:肩袖撕裂的相关危险因素分析及预测效能评估
- Author:
Zengshuai HAN
1
;
Yi ZHANG
;
Lei DING
;
Xia ZHAO
;
Ruting CUI
;
Wenru MA
;
Yingze ZHANG
;
Tengbo YU
Author Information
1. 青岛大学附属医院骨科，青岛 266100
- Keywords:
Shoulder;
Lacerations;
Arthroscopes;
Magnetic resonance imaging;
Risk factors
- From:
Chinese Journal of Trauma
2022;38(3):213-219
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the risk factors for rotator cuff tear and evaluate the corresponding prediction efficacy.Methods:A case-control study was conducted in 69 patients with rotator cuff tear admitted to Affiliated Hospital of Qingdao University from June 2020 to June 2021 (rotator cuff tear group) and 51 normal volunteers or medical examiners (normal control group). There were 55 males and 65 females, with the age range of 34-77 years [(58.2±7.2)years]. Body mass index (BMI) ranged from 19.5-32.4 kg/m 2 [(25.4±2.5)kg/m 2]. Univariate analysis was performed for the correlation of gender, age, history of hypertension, history of smoking, history of diabetes, BMI, angle of humeral greater tuberosity and notch angle of humeral greater tuberosity with rotator cuff tear in the two groups. Factors with statistically significant differences were included in multivariate Logistic regression analysis to determine the independent risk factors for rotator cuff tear. Spearman correlation analysis was used to find factor correlation between the two groups. The receiver operating characteristic (ROC) curve of relevant factors for the diagnosis and prediction of rotator cuff tear was analyzed. Results:Univariate analysis showed that age, angle of humeral greater tuberosity and notch angle of humeral greater tuberosity related to rotator cuff tear (all P<0.05). On the contrary, gender, history of hypertension, history of smoking, history of diabetes and BMI were not correlated with rotator cuff tear (all P>0.05). Multivariate Logistic regression analysis showed significant correlations of angle of humeral greater tuberosity and notch angle of humeral greater tuberosity with rotator cuff tear (all P<0.05). Spearman correlation analysis showed that age was not correlated with angle of humeral greater tuberosity and notch angle of humeral greater tuberosity ( r=0.09, 0.13, all P>0.05), but there was significant positive correlation between angle of humeral greater tuberosity and notch angle of humeral greater tuberosity ( r=0.76, P<0.01). When the optimal cutoff values of angle of humeral greater tuberosity and notch angle of humeral greater tuberosity were 70.05° and 150.55°, the area under the ROC curve (AUC) for predicting rotator cuff tear was 0.79 (95% CI 0.71-0.87, P<0.01) and 0.81 (95% CI 0.74- 0.89, P<0.01). Conclusions:Angle of humeral greater tuberosity and notch angle of humeral greater tuberosity are independent factors for rotator cuff tear, and larger angles suggest higher prevalence of rotator cuff tear. Besides, the notch angle of humeral greater tuberosity has relatively better predictive performance.
