Published in:
01-12-2020 | Myocardial Infarction | Research article
Cardiovascular disease in diffuse idiopathic skeletal hyperostosis (DISH): from theory to reality—a 10-year follow-up study
Published in: Arthritis Research & Therapy | Issue 1/2020
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Objective
To describe actual cardiovascular events over a decade in patients with diffuse idiopathic skeletal hyperostosis (DISH), without previously known CV diseases.
Methods
The medical records of patients with DISH and controls, beginning in 2006 (without known CV disease), were reviewed. Demographic, constitutional, and laboratory data were collected. Comparison of CV events following 2006 was performed according to the outcome definitions set by the Framingham score 2: coronary event demonstrated by a coronary imaging modality, acute myocardial infarction (MI), coronary death, congestive heart failure with a reduced ejection fraction, and angina pectoris.
Results
Data were available for 45 patients with DISH and 47 controls without DISH from the original cohort (91.8% and 97.9% respectively). By the Framingham score, 28.6% (± 20.33) of the DISH patients were expected to be affected with CVD at 10 years of follow-up. We observed that nearly 39% of them developed CVD during that period (95% CI 23.8–53.5%). The incidence of MI over the 10-year period was significantly higher in the DISH group (P = 0.005). The DISH group had higher morbidity with a higher composite outcome of 38.8% vs 25.5% in the control cohort, and the number of non-elective hospital admissions per patient, despite neither reaching statistical significance.
Conclusion
Our study showed that the Framingham score underestimates the real risk for developing CVD in patients with DISH, specifically the risk for MI. We propose more scrutiny is warranted in evaluating CV risk in these patients, more demanding treatment target goals should be established, and earlier and more aggressive medical interventions should be undertaken, particularly primary prevention. Larger prospective studies are needed to corroborate these findings.