Relationship between estimated cardiovascular disease risk and insulin resistance in a black African population living with HIV: a cross-sectional study from Cameroon. Issue 8 (11th August 2017)

• Record Type: Journal Article
• Authors: Noumegni, Steve Raoul; Bigna, Jean Joel; Ama Moor epse Nkegoum, Vicky Jocelyne; Nansseu, Jobert Richie; Assah, Felix K; Jingi, Ahmadou Musa; Guewo-Fokeng, Magellan; Leumi, Steve; Katte, Jean-Claude; Dehayem, Mesmin Y; Mfeukeu Kuate, Liliane; Kengne, Andre Pascal; Sobngwi, Eugene
• Is Part Of: BMJ open. Volume 7:Issue 8(2017)
• Publication Date: 2017-08-11
• Subjects: cardiovascular risk -- HIV -- insulin resistance -- Cameroon; Medicine -- Research -- Periodicals; 610.72
• DOI: 10.1136/bmjopen-2017-016835
• Languages: English
• ISSNs: 2044-6055

Abstract

Abstract : Objectives: Cardiovascular disease (CVD) and metabolic diseases are growing concerns among patients with HIV infection as a consequence of the improving survival of this population. We aimed to assess the relationship between CVD risk and insulin resistance in a group of black African individuals with HIV infection. Methods: This cross-sectional study involved patients with HIV infection aged 30–74 years and followed up at the Yaoundé Central Hospital, Cameroon. Absolute CVD risk was calculated using the Framingham and the DAD CVD risk equations while the HOMA-IR index was used to assess insulin resistance (index ≥2.1). Results: A total of 452 patients (361 women; 80%) were screened. The mean age was 44.4 years and most of the respondents were on antiretroviral therapy (88.5%). The median 5-year cardiovascular risk was 0.7% (25th−75th percentiles: 0.2–2.0) and 0.6% (0.3–1.3) according to the Framingham and DAD equations respectively. Of all participants, 47.3% were insulin resistant. The Framingham equation derived absolute CVD risk was significantly associated with insulin resistance; while no linear association was found using the DAD equation. Conclusion: The relationship between cardiovascular risk and insulin resistance in black African patients with HIV infection seems to depend on the cardiovascular risk equation used.