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Published on: July 24, 2013
Cardiovascular risk in HIV-infected individuals: A comparison of three risk prediction algorithms
Sara Policarpo1, Teresa Rodrigues2, Ana Catarina Moreira3
1Serviço de Dietética e Nutrição, Hospital de Santa Maria, Lisboa, Portugal; Universidade de Lisboa, Faculdade de Medicina, Laboratório de Nutrição, Lisboa, Portugal.
Insights
HIV-infected adults, especially those on antiretroviral therapy (ART), face elevated cardiovascular (CV) risk. The Framingham risk score (FRS) identified the highest proportion of individuals at high CV risk, highlighting the need for targeted interventions.
Area of Science:
- Cardiology
- Infectious Diseases
- Public Health
Background:
- Cardiovascular disease is a significant concern for individuals with HIV.
- Assessing cardiovascular risk in this population is crucial for effective management.
Purpose of the Study:
- To evaluate the cardiovascular (CV) risk in a cohort of HIV-infected adults.
- To compare the performance of three different CV risk algorithms: SCORE, Framingham risk score (FRS), and DAD.
Main Methods:
- Cardiovascular risk was calculated for 571 HIV-infected adults using SCORE, FRS, and DAD algorithms.
- Patients were categorized into low, moderate, or high CV risk groups.
- Clinical and anthropometric data, including metabolic syndrome (MS) prevalence, were collected.
Main Results:
- High CV risk was detected in 4.4% (SCORE), 20.5% (FRS), and 10.3% (DAD) of patients.
- Metabolic syndrome was more prevalent in patients on antiretroviral therapy (ART) (33.9%) compared to ART-naïve patients (16.3%).
- The FRS identified the largest proportion of patients with high CV risk.
Conclusions:
- HIV-infected adults, particularly those on ART, exhibit a high prevalence of elevated cardiovascular risk.
- The Framingham risk score appears to be a sensitive tool for identifying high CV risk in this population.
- The association between ART and metabolic syndrome warrants further investigation.
Introduction:
Cardiovascular (CV) risk is known to be increased in HIV-infected individuals. Our aim was to assess CV risk in HIV-infected adults.
Methods:
CV risk was estimated for each patient using three different risk algorithms: SCORE, the Framingham risk score (FRS), and DAD. Patients were classified as at low, moderate or high CV risk. Clinical and anthropometric data were collected.
Results:
We included 571 HIV-infected individuals, mostly male (67.1%; n=383). Patients were divided into two groups according to antiretroviral therapy (ART): naïve (7.5%; n=43) or under ART (92.5%; n=528). The mean time since HIV diagnosis was 6.7±6.5 years in the naive group and 13.3±6.1 years in the ART group. Metabolic syndrome (MS) was identified in 33.9% (n=179) and 16.3% (n=7) of participants in the ART and naïve groups, respectively. MS was associated with ART (OR=2.7; p=0.018). Triglycerides ≥150 mg/dl (OR=13.643, p<0.001) was one of the major factors contributing to MS. Overall, high CV risk was found in 4.4% (n=23) of patients when the SCORE tool was used, in 20.5% (n=117) using the FRS, and in 10.3% (n=59) using the DAD score. The observed agreement between the FRS and SCORE was 55.4% (k=0.183, p<0.001), between the FRS and DAD 70.5% (k=0.465, p<0.001), and between SCORE and DAD 72.3% (k=0.347, p<0.001).
Conclusion:
On the basis of the three algorithms, we detected a high rate of high CV risk, particularly in patients under ART. The FRS was the algorithm that classified most patients in the high CV risk category (20.5%). In addition, a high prevalence of MS was identified in this patient group.
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