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2.
AIDS Patient Care STDS ; 21(7): 452-7, 2007 Jul.
Article in English | MEDLINE | ID: mdl-17651026

ABSTRACT

To compare cardiovascular risk stratification according to Framingham, PROCAM (Prospective Cardiovascular Münster), and SCORE (Systematic Coronary Risk Evaluation) equations in patients with HIV infection, a cross-sectional study of a well-characterized cohort of 760 HIV-infected adults managed at the outpatient Infectious Disease Unit in 2003 was conducted. Cardiovascular risk score was examined and patients were classified as having low, moderate, or high risk using Framingham and PROCAM (<10%, 10%-20%, and <20%, respectively) and SCORE (<3%, 3%-4%, and >/=5%, respectively) equations. The prevalence of patients with low, moderate and high cardiovascular risk was 76.6%, 15.1%, and 8.3% by the Framingham, respectively, 90.1%, 4.9%, and 5% by the PROCAM, respectively, and 88.6%, 3%, and 8.4% by SCORE, respectively. Concordance between these three risk functions was significant, but globally moderate (Framingham and PROCAM, kappa 0.36, p < 0.0001; Framingham and SCORE, kappa 0.32, p < 0.0001; PROCAM and SCORE, kappa 0.46, p < 0.0001). The Framingham equation categorized a higher proportion of HIV-infected male patients with moderate cardiovascular risk and a lower proportion of those with low risk (p < 0.0001) compared with PROCAM and SCORE. The present study showed a high prevalence of HIV-infected patients at low cardiovascular risk regardless of the assessed coronary risk system used. However, compared with PROCAM and SCORE, Framingham risk equation in HIV-infected patients identified a higher number of male patients with moderate cardiovascular risk.


Subject(s)
Cardiovascular Diseases/virology , HIV Infections/complications , Cardiovascular Diseases/epidemiology , Cross-Sectional Studies , Female , HIV Infections/epidemiology , Humans , Male , Risk Assessment , Risk Factors
3.
Stroke ; 37(3): 812-7, 2006 Mar.
Article in English | MEDLINE | ID: mdl-16439699

ABSTRACT

BACKGROUND AND PURPOSE: Whether or not combination antiretroviral therapy (CART) alone directly contributes to accelerating atherosclerosis in HIV-infected patients has not been studied in depth. This study aimed to ascertain the relationship between this therapy and subclinical carotid atherosclerosis according to cardiovascular risk. METHODS: Sixty-eight HIV-infected patients with < or =1 cardiovascular risk factors and 64 with > or =2 risk factors completed the study protocol consisting of clinical, laboratory, and vascular evaluation by carotid high-resolution B-mode ultrasonography. Univariate and multivariate logistic regression analyses were performed with the presence of subclinical carotid atherosclerosis, defined by carotid intima-media thickness >0.8 mm or the presence of plaque being the dependent variable. RESULTS: Among the 132 enrolled patients, 93 (70.5%) were on CART and 39 (29.5%) had never been on antiretroviral therapy. In accordance with cardiovascular risk stratification, subclinical carotid atherosclerosis was found in 26.6% (17 of 64 patients) of the very low-risk group (10-year coronary risk <5%), 35.3% (12 of 34 patients) of the low-risk group (10-year coronary risk between 5% and 9%) and 76.5% (26 of 34 patients) of the moderate/high-risk group (10-year coronary risk > or =10%). Thus, 55 (41.7%) of the 132 HIV-infected patients had subclinical carotid atherosclerosis, and independent variables associated with carotid atherosclerosis (odds ratio; 95% CI) were: CART exposure (10.5; 2.8 to 39) and 10-year coronary risk > or =10% (4.2; 1.5 to 12). In very low coronary risk patients (<5%), age (per 10-year increment: 4.01; 1.12 to 14.38), systolic blood pressure (per unit mm Hg 1.07; 1.01 to 1.14), and CART exposure (8.65; 1.54 to 48.54) were independently associated with subclinical carotid atherosclerosis. CONCLUSIONS: CART should be considered a strong, independent predictor for the development of subclinical atherosclerosis in HIV-infected patients, regardless of known major cardiovascular risk factors and atherogenic metabolic abnormalities induced by this therapy.


Subject(s)
Anti-Retroviral Agents/therapeutic use , Carotid Artery Diseases/complications , Carotid Artery Diseases/diagnosis , HIV Infections/complications , HIV Infections/drug therapy , HIV Seropositivity/drug therapy , Atherosclerosis , Blood Pressure , Cardiovascular Diseases/pathology , Cholesterol/metabolism , Drug Therapy, Combination , Female , HIV Infections/diagnosis , Humans , Logistic Models , Male , Models, Statistical , Multivariate Analysis , Odds Ratio , Risk , Risk Factors , Time Factors , Ultrasonography
4.
Am J Hypertens ; 18(11): 1396-401, 2005 Nov.
Article in English | MEDLINE | ID: mdl-16280270

ABSTRACT

BACKGROUND: Little is known about hypertension in the HIV-infected population. This study aimed to assess the prevalence of hypertension and related factors in HIV-infected patients. METHODS: In this prospective cross-sectional study, 710 HIV-infected patients (626 on combination antiretroviral therapy and 84 naive) managed at the outpatient clinic of a tertiary hospital during 2003 and 802 controls completed the study protocol consisting of medical examination and a 6-month follow-up period including three control visits. RESULTS: Hypertension prevalence was 13.1% in HIV-infected patients and 13.5% in the control group. Age (per 10-year increment) (odds ratio [OR]: 1.92; 95% confidence interval [CI]: 1.48-2.48), body mass index (OR: 1.18; 95% CI: 1.10-1.27), and lipoaccumulation pattern of fat redistribution (OR: 2.26; 95% CI: 1.20-4.24) were independently and significantly associated with the presence of hypertension in HIV-infected patients at logistic regression analysis. CONCLUSIONS: The present results suggest no meaningful difference in prevalence of hypertension between subjects with and without HIV infection. Thus, the influence of combination antiretroviral therapy appears to have little impact on the prevalence of hypertension.


Subject(s)
Anti-HIV Agents/therapeutic use , HIV Infections/drug therapy , Hypertension/epidemiology , Adult , Anti-HIV Agents/adverse effects , Body Mass Index , Cross-Sectional Studies , Female , HIV Infections/complications , Humans , Hypertension/etiology , Logistic Models , Male , Middle Aged , Multivariate Analysis , Prevalence , Risk Factors , Smoking/adverse effects , Spain/epidemiology
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