1. A comprehensive scoring system for the diagnosis and staging of adhesive capsulitis: development, application, and implications.
- Author
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Vita, Fabio, Donati, Danilo, Tedeschi, Roberto, Miceli, Marco, Spinnato, Paolo, Origlio, Flavio, Guerra, Enrico, Cavallo, Marco, Stella, Salvatore Massimo, Tarallo, Luigi, Porcellini, Giuseppe, Galletti, Stefano, and Faldini, Cesare
- Subjects
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TREATMENT of bursitis , *BURSITIS , *STATISTICAL models , *MEDICAL history taking , *TRAUMA severity indices , *DECISION making in clinical medicine , *ULTRASONIC imaging , *LONGITUDINAL method , *ROTATOR cuff injuries , *EARLY diagnosis , *ACCURACY , *COMORBIDITY , *DIABETES - Abstract
Introduction: Adhesive capsulitis (AC), often referred to as frozen shoulder, presents a diagnostic challenge due to its insidious onset and progressive nature. The condition is characterized by pain and restricted motion in the shoulder, with a predilection for individuals between 40 and 60 years of age. A novel scoring system was developed to enhance the accuracy of diagnosing AC and distinguishing between its stages, aiming to streamline clinical decision-making and treatment planning. Methods: A cohort of patients with symptoms suggestive of AC was assessed using the new scoring system, which integrates clinical, radiological, and patient history factors. Parameters included comorbidities like diabetes mellitus, recent immobility, rotator cuff tears, and specific ultrasound findings. Patients were scored and categorized into definitive AC, uncertain diagnosis, or exclusion from AC, with scores > 7, 6–2, and < 2, respectively. Results: The scoring system effectively categorized patients, with those scoring > 7 demonstrating pronounced symptoms and ultrasound changes consistent with Phase 2 AC. Patients with scores between 6 and 2 were classified into uncertain Phase 1 or Phase 3, necessitating further observation. Scores < 2 effectively excluded AC, indicating a need to explore alternative diagnoses. Conclusion: The structured scoring system demonstrated potential as a comprehensive tool for diagnosing AC. By quantitatively assessing a range of contributory factors, it allowed for the stratification of the disease into distinct stages. This system is anticipated to improve early diagnosis and the precision of treatment interventions, although further validation in larger cohorts is warranted. Level of evidence: II-III. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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