Abstract
Purpose: Few studies have investigated the relationship between patients requiring rotator cuff surgery and their body mass index (BMI). The objective of this retrospective study was to evaluate the association between BMI and pre-operative pain and function in patients awaiting rotator cuff repair surgery as measured by the American Shoulder and Elbow Surgery (ASES) form and Simple Shoulder Score (SST). A second objective was to evaluate the role of several other factors in predicting patient pre-operative scores.
Method: Patients selected for this study were those who underwent arthroscopic rotator cuff repair performed by the same surgeon between 2002 and 2007. Their medical record included documentation of age, height, weight, smoking status, worker’s compensation status (WCB), and pre-operative ASES and SST scores. Correlation between BMI and ASES and SST scores was performed to determine the association between these variables. In addition, multiple stepwise regression was performed to assess the predictive value of other demographic and lifestyle factors.
Results: Fifty-four patients were included in the study (39 men, 15 women). No significant correlation was found between BMI and either ASES or SST scores. Based on multiple regression analysis, only WCB status was identified as a significant predictor of pre-operative ASES score (p=0.003) while sex, age, BMI, and smoking status were not. Patients with WCB claims had lower ASES scores than those without. Sex was found to have the strongest association with SST scores (r2 = 0.502) with men having greater SST scores than women. The model with the most significant value in predicting SST scores included sex, WCB and smoking status (r2 -= 0.640). Patients that did not fall under a WCB claim and were non-smokers had better SST scores pre-operatively.
Conclusion: BMI did not have a significant relationship to ASES and SST scores in patients awaiting rotator cuff repair surgery. A prospective study including pre- and post-surgical follow-up and a detailed analysis of the role between BMI and other demographic and lifestyle factors would be beneficial. Such a risk factor analysis may shed light on the indications for rotator cuff surgery or non-operative management, depending on the patient population.
Correspondence should be addressed to Meghan Corbeil, Meetings Coordinator Email: meghan@canorth.org