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Development of a predictive model for estimating the probability of treatment success one year after total shoulder replacement - cohort study


Simmen, B R; Bachmann, L M; Drerup, S; Schwyzer, H K; Burkhart, A; Goldhahn, J (2008). Development of a predictive model for estimating the probability of treatment success one year after total shoulder replacement - cohort study. Osteoarthritis and Cartilage, 16(5):631-634.

Abstract

OBJECTIVE: To Estimate the probability of treatment success 1 year after a total shoulder arthroplasty by developing a model based on preoperative clinical factors. METHOD: Between June 2003 and December 2006, 140 patients undergoing shoulder operations were assessed for age, gender, current rheumatoid arthritis, Short Form (SF) 36 physical and mental sum scores, previous shoulder operations, the Disabilities of Arm, Shoulder and Hand (DASH) symptom and function scores, the Shoulder Pain and Disability Index (SPADI), and insurance status. One year after the operation a Constant score of 80 or more out of 100 indicated successful treatment. Patient variables were analyzed with a logistic regression model augmented in a stepwise manner and bootstrapped 100 times. Variables selected at least 33 times were incorporated into a final model and the Area under the Receiver Operating Characteristics Curve (aROC) was calculated. RESULTS: There were 47/140 (33.6%) successful treatments. The probability of success was reduced in patients with previous shoulder operations (Odds Ratio [O.R.] 0.17, 95% Confidence Interval (95%CI) 0.04-0.85; P=0.03) and older than 75 years (O.R. 0.21, 95%CI 0.05-0.77; P=0.02). The probability of success increased in patients with a higher SF 36 mental sum score (O.R. 1.03, 95%CI 0.96-1.09, P=0.42) and a higher DASH function score (O.R. 1.05, 95%CI 1.02-1.07, P=0.001). The aROC was 0.79 (0.70-0.88) indicating that the model has a high predictive capacity. CONCLUSION: Once validated this model based on four preoperative clinical factors offers a prediction of whether a patient will respond to treatment 1 year after total shoulder arthroplasty.

OBJECTIVE: To Estimate the probability of treatment success 1 year after a total shoulder arthroplasty by developing a model based on preoperative clinical factors. METHOD: Between June 2003 and December 2006, 140 patients undergoing shoulder operations were assessed for age, gender, current rheumatoid arthritis, Short Form (SF) 36 physical and mental sum scores, previous shoulder operations, the Disabilities of Arm, Shoulder and Hand (DASH) symptom and function scores, the Shoulder Pain and Disability Index (SPADI), and insurance status. One year after the operation a Constant score of 80 or more out of 100 indicated successful treatment. Patient variables were analyzed with a logistic regression model augmented in a stepwise manner and bootstrapped 100 times. Variables selected at least 33 times were incorporated into a final model and the Area under the Receiver Operating Characteristics Curve (aROC) was calculated. RESULTS: There were 47/140 (33.6%) successful treatments. The probability of success was reduced in patients with previous shoulder operations (Odds Ratio [O.R.] 0.17, 95% Confidence Interval (95%CI) 0.04-0.85; P=0.03) and older than 75 years (O.R. 0.21, 95%CI 0.05-0.77; P=0.02). The probability of success increased in patients with a higher SF 36 mental sum score (O.R. 1.03, 95%CI 0.96-1.09, P=0.42) and a higher DASH function score (O.R. 1.05, 95%CI 1.02-1.07, P=0.001). The aROC was 0.79 (0.70-0.88) indicating that the model has a high predictive capacity. CONCLUSION: Once validated this model based on four preoperative clinical factors offers a prediction of whether a patient will respond to treatment 1 year after total shoulder arthroplasty.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic and Policlinic for Internal Medicine
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:2008
Deposited On:05 Feb 2009 12:38
Last Modified:05 Apr 2016 12:52
Publisher:Elsevier
ISSN:1063-4584
Publisher DOI:10.1016/j.joca.2007.10.010
PubMed ID:18061485
Permanent URL: http://doi.org/10.5167/uzh-11049

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