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Frailty assessment in patients with systemic sclerosis
Claudia Barison1, Elda Piovani1, Liala Moschetti2
1Scleroderma Unit, Rheumatology and Clinical Immunology Unit, ERN ReCONNET Centre, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Italy.
Over half of systemic sclerosis (SSc) patients are frail, linked to organ damage and comorbidities. Frailty assessment may predict hospitalizations and death in SSc patients, aiding health planning.
Area of Science:
- Rheumatology
- Geriatrics
- Clinical Medicine
Background:
- Frailty is a clinical syndrome of reduced physiological reserve, increasing vulnerability to adverse outcomes.
- Systemic sclerosis (SSc) is a chronic autoimmune disease with significant morbidity.
- The prevalence and impact of frailty in SSc patients over 60 years old are not well understood.
Purpose of the Study:
- To determine the prevalence of frailty in older SSc patients.
- To identify demographic and clinical factors associated with frailty in this population.
- To explore the predictive value of frailty for adverse events like hospitalization and mortality.
Main Methods:
- A cross-sectional study assessed 169 SSc outpatients (age > 60) using the Primary Care Frailty Index (PC-FI).
- Comorbidities, SSc disease activity, organ damage, and patient-reported impact were evaluated using validated indices.
- Hospitalizations and mortality data were collected during follow-up for 85 patients.
Main Results:
- Frailty was prevalent in 51.3% of SSc patients, with varying severity levels.
- Frail patients were older, had longer disease duration, and higher comorbidity and organ damage scores.
- Multivariate analysis revealed disease duration and SSc-related organ damage as independent predictors of frailty scores.
Conclusions:
- Frailty is common in older SSc patients and is associated with SSc-related organ damage and comorbidities.
- The PC-FI shows potential for predicting hospitalization and death in SSc.
- Frailty assessment could be a valuable tool for health program planning in SSc care.
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