Outcome predictors for recovery of rotator cuff tendinopathy: An international prospective cohort study
Sports Kongres 2022, Kobenhavn, Danimarka, 03 Şubat 2022, cilt.8, ss.9, (Özet Bildiri)
- Yayın Türü: Bildiri / Özet Bildiri
- Cilt numarası: 8
- Doi Numarası: 10.1136/bmjsem-2022-sportskongres.23
- Basıldığı Şehir: Kobenhavn
- Basıldığı Ülke: Danimarka
- Sayfa Sayıları: ss.9
- Ankara Yıldırım Beyazıt Üniversitesi Adresli: Evet
Özet
Introduction There is inadequate data about outcome predictors
for rotator cuff (RC) tendinopathy recovery. This international
prospective cohort study aimed to determine outcome
predictors of RC tendinopathy recovery and build an explanatory
model.
Materials and Methods After completing the baseline survey,
which included over 40 potentially plausible bio-psycho-social
and demographic variables, recovery was assessed using the
Global Rating of Change scale at monthly follow-ups for one
year. Univariate cox proportional-hazards regression was used
to analyse individual predictive associations, and multivariate
cox regression was used for model building. Bootstrapping
was used for internal validity.
Results 73 people with RC tendinopathy (43.9±14.0 years; 45
females; Shoulder Pain and Disability Index = 37.7±24.4)
provided 15,284 days total analysis time at risk (208±129
days). Recovery rate was 47%, occurring around the 7th
month. According to the final model, higher health status
(HR = 1.03) and being moderately active (HR = 2.23) were
associated with RC tendinopathy recovery. The internal validity
showed that there was minimal overestimation in the predicted
outcome (average optimism=0.01). The model partially
predicted RC tendinopathy recovery with almost acceptable
performance (optimism-corrected Harrell’s C discrimination =
0.66 and Calibration Slope = 0.99).
Conclusion Self-reported online surveys may be useful to
understand RC tendinopathy prognosis. The combination of
self-reported factors, including activity level and health status,
partially predicted RC tendinopathy recovery. Therefore, these
modifiable self-reported variables could help guide clinical
decision making.