Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-45035
Friis-Møller, N; Thiebaut, R; Reiss, P; Weber, R; Monforte, A D; De Wit, S; El-Sadr, W; Fontas, E; Worm, S W; Kirk, O; Phillips, A; Sabin, C A; Lundgren, J D; Law, M G (2010). Predicting the risk of cardiovascular disease in HIV-infected patients: the data collection on adverse effects of anti-HIV drugs study. European Journal of Cardiovascular Prevention and Rehabilitation, 17(5):491-501.
- Registered users only
AIMS: HIV-infected patients receiving combination antiretroviral therapy may experience metabolic complications, potentially increasing their risk of cardiovascular diseases (CVDs). Furthermore, exposures to some antiretroviral drugs seem to be independently associated with increased CVD risk. We aimed to develop cardiovascular risk-assessment models tailored to HIV-infected patients.
METHODS AND RESULTS: Prospective multinational cohort study. The data set included 22,625 HIV-infected patients from 20 countries in Europe and Australia who were free of CVD at entry into the Data collection on Adverse Effects of Anti-HIV Drugs Study. Using cross-validation methods, separate models were developed to predict the risk of myocardial infarction, coronary heart disease, and a composite CVD endpoint. Model performance was compared with the Framingham score. The models included age, sex, systolic blood pressure, smoking status, family history of CVD, diabetes, total cholesterol, HDL cholesterol and indinavir, lopinavir/r and abacavir exposure. The models performed well with area under the receiver operator curve statistics of 0.783 (range 0.642-0.820) for myocardial infarction, 0.776 (0.670-0.818) for coronary heart disease and 0.769 (0.695-0.824) for CVD. The models estimated more accurately the outcomes in the subgroups than the Framingham score.
CONCLUSION: Risk equations developed from a population of HIV-infected patients, incorporating routinely collected cardiovascular risk parameters and exposure to individual antiretroviral therapy drugs, might be more useful in estimating CVD risks in HIV-infected persons than conventional risk prediction models.
|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||04 Faculty of Medicine > University Hospital Zurich > Clinic for Infectious Diseases|
|DDC:||610 Medicine & health|
|Deposited On:||08 Feb 2011 15:36|
|Last Modified:||27 Nov 2013 19:11|
|Publisher:||Lippincott Wiliams & Wilkins|
|Citations:||Web of Science®. Times Cited: 75|
Scopus®. Citation Count: 83
Users (please log in): suggest update or correction for this item
Repository Staff Only: item control page