title: Unfavourable cardiovascular disease risk profiles in a cohort of Dutch and British haemophilia patients.
abstract: Cardiovascular disease (CVD) mortality is reported to be decreased in haemophilia patients, but reports on the prevalence of CVD risk factors are conflicting. A cross-sectional assessment of CVD risk profiles was performed in a large cohort of haemophilia patients. Baseline data on CVD risk factors of 709 Dutch and UK haemophilia patients aged ≥30 years were analysed and compared with the general age-matched male population. CVD risk profiles were assessed using the QRISK®2-2011 and SCORE algorithms. Although QRISK® 2 was only validated in the UK, comparison with SCORE indicated similar properties of  QRISK®2 in both Dutch and UK patients (correlation 0.86). Mean age was 49.8 years. Hypertension was more common in haemophilia patients than in the general population (49% vs. 40%), while the prevalences of obesity and hypercholesterolaemia were lower  (15 vs. 20% and 44 vs. 68%, respectively), and those of diabetes and smoking were similar. The predicted 10-year QRISK®2 risk was significantly higher in haemophilia patients than in the general population (8.9 vs. 6.7%), indicating more unfavourable cardiovascular disease risk profiles. This increased risk became apparent after the age of 40 years. Our results indicate an increased prevalence of hypertension and overall more unfavourable CVD risk profiles in haemophilia patients compared with the general age-matched male population.
authors.affiliation: Van Creveldkliniek, Department of Haematology, Postzone C01.425, University Medical Center Utrecht, PObox 85500, 3508 GA Utrecht, The Netherlands. D.E.FransenvandePutte@umcutrecht.nl
authors.forename: Dietje E
authors.initials: DE
authors.lastname: Fransen van de Putte
authors.forename: Kathelijn
authors.initials: K
authors.lastname: Fischer
authors.forename: Michael
authors.initials: M
authors.lastname: Makris
authors.forename: R Campbell
authors.initials: RC
authors.lastname: Tait
authors.forename: Pratima
authors.initials: P
authors.lastname: Chowdary
authors.forename: Peter W
authors.initials: PW
authors.lastname: Collins
authors.forename: Karina
authors.initials: K
authors.lastname: Meijer
authors.forename: Goris
authors.initials: G
authors.lastname: Roosendaal
authors.forename: Roger E G
authors.initials: RE
authors.lastname: Schutgens
authors.forename: Eveline P
authors.initials: EP
authors.lastname: Mauser-Bunschoten
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D002318:Cardiovascular Diseases / Q000175:diagnosis / Q000453:epidemiology*; D016022:Case-Control Studies; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000453:epidemiology; D006467:Hemophilia A / Q000175:diagnosis / Q000453:epidemiology*; D006801:Humans; D006937:Hypercholesterolemia / Q000453:epidemiology; D006973:Hypertension / Q000453:epidemiology; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009426:Netherlands / Q000453:epidemiology; D009765:Obesity / Q000453:epidemiology; D015995:Prevalence; D011379:Prognosis; D011446:Prospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D012907:Smoking / Q000009:adverse effects / Q000453:epidemiology; D013997:Time Factors; D006113:United Kingdom / Q000453:epidemiology