Sonographic Predictors in Patients with Hemiplegic Shoulder Pain: A Cross-Sectional Study


Korkmaz N., Yaşar E., Demir Y., Tezen Ö., Gurcay E.

Journal of Stroke and Cerebrovascular Diseases, vol.29, no.11, 2020 (SCI-Expanded) identifier identifier

Abstract

Objectives: To evaluate the sonographic findings of soft tissues more comprehensively, to investigate the relationship between sonographic pathologies and clinical features, and to determine the predicted factors that may interfere with the most common sonographic findings in patients with hemplegic shoulder pain (HSP) . Methods: Sixty-four consecutive stroke patients with HSP admitted to inpatient clinic were included in this cross-sectional study. Demographic, clinical, and sonographic findings were recorded. Patients were assigned to poor or good motor function groups according to the Brunnstrom motor recovery (BMR) stages. Results: There were abnormal sonographic findings in 63 patients (98.4%). A significant reverse correlation was found between the sonographic grading and functional independence measure (p=0.005) and a positive correlation with energy level (p=0.044). The main risk factors were age for acromioclavicular joint degeneration, BMR stage for glenohumeral joint subluxation, subacromial-subdeltoid bursitis for partial-thickness rotator cuff tear, and Pittsburgh Sleep Quality Index for long head of the biceps tenosynovitis. Conclusion: Age, motor recovery, subacromial-subdeltoid bursitis, and sleep quality were the strongest predictors of different sonographic findings in HSP patients. Functional capacity and energy level are negatively affected by an increased number of abnormal sonographic findings. Therefore, sonographic evaluation of shoulder soft tissue lesions eventually might provide a more constructive rehabilitation approach to achieve optimal outcomes, particularly in elderly patients with poor motor function and sleep quality.