High Comorbidity Burden in Patients with SLE: Data from the Community-Based Lupus Registry of Crete.
Irini GergianakiPanagiotis GarantziotisChristina AdamichouIoannis SaridakisGeorgios SpyrouProdromos SidiropoulosGeorge K BertsiasPublished in: Journal of clinical medicine (2021)
Comorbidities and multimorbidity, often complicating the disease course of patients with chronic inflammatory rheumatic diseases, may be influenced by disease-intrinsic and extrinsic determinants including regional and social factors. We analyzed the frequency and co-segregation of self-reported comorbid diseases in a community-based Mediterranean registry of patients (n = 399) with systemic lupus erythematosus (SLE). Predictors for multimorbidity were identified by multivariable logistic regression, strongly-associated pairs of comorbidities by the Cramer's V-statistic, and comorbidities clusters by hierarchical agglomerative clustering. Among the most prevalent comorbidities were thyroid (45.6%) and metabolic disorders (hypertension: 24.6%, dyslipidemia: 33.3%, obesity: 35.3%), followed by osteoporosis (22.3%), cardiovascular (20.8%), and allergic (20.6%) disorders. Mental comorbidities were also common, particularly depression (26.7%) and generalized anxiety disorder (10.7%). Notably, 51.0% of patients had ≥3 physical and 33.1% had ≥2 mental comorbidities, with a large fraction (n = 86) displaying multimorbidity from both domains. Sociodemographic (education level, marital status) and clinical (disease severity, neurological involvement) were independently associated with physical or mental comorbidity. Patients were grouped into five distinct clusters of variably prevalent comorbid diseases from different organs and domains, which correlated with SLE severity patterns. Conclusively, our results suggest a high multimorbidity burden in patients with SLE at the community, advocating for integrated care to optimize outcomes.
Keyphrases
- systemic lupus erythematosus
- mental health
- end stage renal disease
- healthcare
- disease activity
- ejection fraction
- blood pressure
- chronic kidney disease
- newly diagnosed
- type diabetes
- prognostic factors
- machine learning
- depressive symptoms
- physical activity
- insulin resistance
- risk factors
- adipose tissue
- palliative care
- electronic health record
- oxidative stress
- skeletal muscle
- subarachnoid hemorrhage