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Observed and expected frequency of comorbid chronic diseases in rheumatic patients.

AbstractOBJECTIVE: To estimate and compare the observed and expected prevalence of the co-existence of rheumatic diseases (RD) with other chronic conditions. METHODS: The self-reported diagnosis of chronic conditions was obtained from the 2192 participants in a national health survey (Spain, 1999-2000) We compared the estimated prevalence of the co-existence of a RD with other chronic conditions, to the expected prevalence using two-sample test of proportion. RESULTS: The observed (O) prevalence was significantly higher than expected (E) in the following combination of self-reported diseases: RD+arterial hypertension (O/E ratio = 1.88), RD+diabetes mellitus (O/E ratio = 2.07), RD+hypercholesterolemia (O/E ratio = 1.87), RD+cardiological (O/E ratio = 1.83), and RD+digestive diseases (O/E ratio = 2.07). The prevalence of selected co-existent pairs of diseases is more frequent with increasing age and differs between women and men. CONCLUSIONS: The excess in prevalence of some combinations of diseases may serve as a reminder to the rheumatologists that many of their patients will have co-existent disease of which they need to be aware to properly plan their management. It may also be a sign of common risk factors between diseases or of adverse events.
AuthorsE Loza, J A Jover, L Rodriguez-Rodriguez, L Carmona, EPISER Study Group (Affiliation: Rheumatology Unit, Hospital Clínico San Carlos, Madrid, Spain.)
JournalAnnals of the rheumatic diseases (Ann Rheum Dis) Vol. 67 Issue 3 Pg. 418-21 (Mar 2008) ISSN: 1468-2060 England
PMID17981917 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Topics
  • Adult
  • Age Distribution
  • Cardiovascular Diseases (epidemiology)
  • Chronic Disease (epidemiology)
  • Comorbidity
  • Diabetes Mellitus (epidemiology)
  • Digestive System Diseases (epidemiology)
  • Female
  • Health Surveys
  • Humans
  • Hypercholesterolemia (epidemiology)
  • Male
  • Middle Aged
  • Rheumatic Diseases (epidemiology)
  • Sex Distribution
  • Spain (epidemiology)