Cardiovascular risk prediction in HIV‐infected patients: comparing the Framingham, atherosclerotic cardiovascular disease risk score (ASCVD), Systematic Coronary Risk Evaluation for the Netherlands (SCORE‐NL) and Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) risk prediction models

Abstract

When using FHS-CVD and FHS-CHD, a higher overall CVD risk was attributed to the HIV-infected patients than when using the D:A:D, ASCVD and SCORE-NL models. This could have consequences regarding overtreatment, drug-related adverse events and drug-drug interactions.

Cardiovascular disease risk among Chinese antiretroviral-naïve adults with advanced HIV disease

“…Prior studies have also suggested that the FRS overestimates CVD risk among individuals with HIV [34], however other studies have raised concerns about underestimation of CVD risk among individuals with HIV using the FRS as well [11]. In our cohort, the FRS and ASCVD Risk Scores both identified age and smoking as correlates of 10-year CVD risk ≥10%, which is not surprising given they are factored into the risk models themselves.…”

“…For individuals ≥20 years of age, the FRS calculates 10-year predicted risk of CVD based upon a model comprised of age, sex, TC, HDL-c, SBP, current treatment for hypertension and cigarette smoking (anytime in the past month) [18]. The CVD risk prediction model also categorizes individuals as low (<10% 10-year risk), intermediate (10–20% risk) or high risk (≥20% risk) for coronary heart disease [3, 19, 20]. …”

Cardiovascular Disease Risk Prediction in the HIV Outpatient Study

“…We found concordance in the proportion of individuals classified as high risk by each of the CVD prediction equations we evaluated but exceeded the proportion of HIV-infected patients classified in the highest CVD risk stratum in other reports [36, 37]. Other studies have reported moderate or low concordance in CVD risk score stratification among risk prediction equations [36–38].…”

“…Other studies have reported moderate or low concordance in CVD risk score stratification among risk prediction equations [36–38]. The HOPS cohort had a higher prevalence of overweight or obese participants than that reported in other HIV-infected populations to which the risk prediction equations have been applied [18, 19, 37, 38]. The HOPS cohort may have differed from these other populations in additional important ways, including by sociodemographic and insurance status, or healthcare-seeking behaviors that we could not assess.…”

Gestione del rischio cardiovascolare nel paziente HIV positivo

“…Un altro studio cross-sectional olandese ha arruolato 997 pazienti con infezione da HIV e valutato il loro rischio cardiovascolare utilizzando gli algoritmi Framingham, ACC-AHA, D:A:D e un modello nazionale per il calcolo del rischio di malattia coronarica. In questo studio l'equazione di Framingham tendeva a sovrastimare il rischio coronarico nei pazienti HIV-positivi rispetto agli altri modelli, che apparivano più accurati (15). Uno studio italiano di coorte ha confrontato i modelli di Framingham, ACC-AHA e D:A:D in 2550 pazienti HIV-positivi con un follow-up di 17337 pazienti-anno.…”