20
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A Comparison of the Diabetes Risk Score in HIV/AIDS Patients on Highly Active Antiretroviral Therapy (HAART) and HAART-Naïve Patients at the Limbe Regional Hospital, Cameroon

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Highly active antiretroviral therapy (HAART) has been associated with dysglycaemia. However, there is scarce data on the risk of developing diabetes mellitus (DM) in HIV/AIDS patients in Africa.

          Objectives

          Primarily to quantify and compare the risk of having diabetes mellitus in HIV/AIDS patients on HAART and HAART-naïve patients in Limbe, Cameroon; and secondarily to determine if there is an association between HAART and increased DM risk.

          Methods

          A cross-sectional study was conducted at the Limbe Regional Hospital HIV treatment center between April and June 2013, involving 200 HIV/AIDS patients (100 on first-line HAART regimens for at least 12 months matched by age and gender to 100 HAART-naïve patients). The Diabetes Risk Score (DRS) was calculated using a clinically validated model based on routinely recorded primary care parameters. A DRS ≥ 7% was considered as indicative of an increased risk of developing DM.

          Results

          The median DRS was significantly higher in patients on HAART (2.30%) than in HAART-naïve patients (1.62%), p = 0.002. The prevalence of the increased DM risk (DRS ≥ 7%) was significantly higher in patients on HAART, 31% (95% CI: 22.13–41.03) than in HAART-naïve patients, 17% (95% CI: 10.23–25.82), p = 0.020. HAART was significantly associated with an increased DM risk, the odds ratio of the HAART group compared to the HAART-naïve group was 2.19 (95% CI: 1.12–4.30, p = 0.020). However, no association was found after adjusting for BMI-defined overweight, hypertension, age, sex, family history of DM and smoking (Odds ratio = 1.22, 95% CI: 0.42–3.59, p = 0.708). Higher BMI and hypertension accounted for the increased risk of DM in patients on HAART. Also, more than 82% of the participants were receiving or had ever used Zidovudine based HAART regimens.

          Conclusion

          HIV/AIDS patients on HAART could be at a greater risk of having DM than HAART-naïve patients as a result of the effect of HAART on risk factors of DM such as BMI and blood pressure.

          Related collections

          Most cited references17

          • Record: found
          • Abstract: found
          • Article: not found

          Declining Morbidity and Mortality among Patients with Advanced Human Immunodeficiency Virus Infection

          National surveillance data show recent, marked reductions in morbidity and mortality associated with the acquired immunodeficiency syndrome (AIDS). To evaluate these declines, we analyzed data on 1255 patients, each of whom had at least one CD4+ count below 100 cells per cubic millimeter, who were seen at nine clinics specializing in the treatment of human immunodeficiency virus (HIV) infection in eight U.S. cities from January 1994 through June 1997. Mortality among the patients declined from 29.4 per 100 person-years in the first quarter of 1995 to 8.8 per 100 in the second quarter of 1997. There were reductions in mortality regardless of sex, race, age, and risk factors for transmission of HIV. The incidence of any of three major opportunistic infections (Pneumocystis carinii pneumonia, Mycobacterium avium complex disease, and cytomegalovirus retinitis) declined from 21.9 per 100 person-years in 1994 to 3.7 per 100 person-years by mid-1997. In a failure-rate model, increases in the intensity of antiretroviral therapy (classified as none, monotherapy, combination therapy without a protease inhibitor, and combination therapy with a protease inhibitor) were associated with stepwise reductions in morbidity and mortality. Combination antiretroviral therapy was associated with the most benefit; the inclusion of protease inhibitors in such regimens conferred additional benefit. Patients with private insurance were more often prescribed protease inhibitors and had lower mortality rates than those insured by Medicare or Medicaid. The recent declines in morbidity and mortality due to AIDS are attributable to the use of more intensive antiretroviral therapies.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Diagnosis, prediction, and natural course of HIV-1 protease-inhibitor-associated lipodystrophy, hyperlipidaemia, and diabetes mellitus: a cohort study.

            The prevalence and severity of lipodystrophy syndrome with long-term therapy for HIV-1 infection that includes a protease inhibitor is unknown. We studied the natural course of the syndrome to develop diagnostic criteria and identifying markers that predict its severity. We assessed 113 patients who were receiving HIV-1 protease inhibitors (mean 21 months) and 45 HIV-1-infected patients (28 with follow-up) never treated with a protease inhibitor. Lipodystrophy was assessed by questionnaire (including patients' rating of severity), physical examination, and dual-energy x-ray absorptiometry. Body composition and fasting lipid and glycaemic variables were compared with data obtained 8 months previously. Oral glucose tolerance was investigated. There was 98% concordance between patients' reports of the presence or absence of lipodystrophy (reported by 83% of protease-inhibitor recipients and 4% of treatment-naïve patients; p=0.0001) and physical examination. Patients' ratings of lipodystrophy were significantly associated with declining total body fat (p=0.02). Lower body fat was independently associated with longer duration of protease-inhibitor therapy and lower bodyweight before therapy, and more severe lipodystrophy was associated with higher previous (p < 0.03) and current (p < or = 0.01) triglyceride and C-peptide concentrations, and less peripheral and greater central fat (p=0.005 and 0.09, respectively). Body fat declined a mean 1.2 kg over 8 months in protease-inhibitor recipients (p=0.05). The prevalence of hyperlipidaemia remained stable over time (74% of treated patients vs 28% of naïve patients; p=0.0001). Impaired glucose tolerance occurred in 16% of protease-inhibitor recipients and diabetes mellitus in 7%; in all but three patients these abnormalities were detected on 2 h post-glucose load values. Diagnosis and rating severity of lipodystrophy is aided by the combination of physical examination, patient's rating, and measurement of body fat, fasting triglycerides, and C-peptide. Weight before therapy, fasting triglyceride, and C-peptide concentrations early in therapy, and therapy duration seem to predict lipodystrophy severity. Lipodystrophy was common and progressive after almost 2 years of protease inhibitor therapy, but was not usually severe. Hyperlipidaemia and impaired glucose tolerance were also common.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Diabetes risk score: towards earlier detection of type 2 diabetes in general practice.

              Type 2 diabetes is common, costly and often goes unrecognised for many years. When patients are diagnosed, the majority exhibit associated tissue damage or established cardiovascular risk. Evidence is accumulating that earlier detection and management of diabetes and related metabolic abnormalities may be beneficial. We aimed to develop and evaluate a score based on routinely collected information to identify people at risk of having undetected diabetes. A population-based sample of 1077 people, aged 40 to 64 years, without known diabetes, from a single Cambridgeshire general practice, underwent clinical assessment including an oral glucose tolerance test. In a separate 12-month study, 41 practices in southern England reported clinical details of patients aged 40 to 64 years with newly diagnosed Type 2 diabetes. A notional population was created by random selection and pooling of half of each dataset. Data were entered into a regression model to produce a formula predicting the risk of diabetes. The performance of this risk score in detecting diabetes was tested in an independent, randomly selected, population-based sample. Age, gender, body mass index, steroid and antihypertensive medication, family and smoking history contributed to the score. In the test population at 72% specificity, the sensitivity of the score was 77% and likelihood ratio 2.76. The area under the receiver-operating characteristic curve was 80%. A simple score, using only data that are routinely collected in general practice, can help identify those at risk of diabetes. This score could contribute to efficient earlier detection through case-finding or targeted screening. Copyright 2000 John Wiley & Sons, Ltd.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                19 May 2016
                2016
                : 11
                : 5
                : e0155560
                Affiliations
                [1 ]Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom
                [2 ]Faculty of Health Sciences, University of Buea, Buea, Cameroon
                Imperial College London, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: CAD JA JCM AW GLM. Performed the experiments: CAD. Analyzed the data: CAD JA. Contributed reagents/materials/analysis tools: CAD JA. Wrote the paper: CAD JA GLM. Reviewed the manuscript: GLM JCM.

                Article
                PONE-D-15-40831
                10.1371/journal.pone.0155560
                4872990
                27195956
                585ab6bd-9695-46b3-9581-566d97a7c974
                © 2016 Dimala et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 September 2015
                : 29 April 2016
                Page count
                Figures: 0, Tables: 5, Pages: 10
                Funding
                This project was funded by the Dimala Family. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Immunology
                Vaccination and Immunization
                Antiviral Therapy
                Antiretroviral Therapy
                Highly-Active Antiretroviral Therapy
                Medicine and Health Sciences
                Immunology
                Vaccination and Immunization
                Antiviral Therapy
                Antiretroviral Therapy
                Highly-Active Antiretroviral Therapy
                Medicine and Health Sciences
                Public and Occupational Health
                Preventive Medicine
                Vaccination and Immunization
                Antiviral Therapy
                Antiretroviral Therapy
                Highly-Active Antiretroviral Therapy
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Physical Sciences
                Chemistry
                Chemical Compounds
                Organic Compounds
                Steroids
                Physical Sciences
                Chemistry
                Organic Chemistry
                Organic Compounds
                Steroids
                Medicine and Health Sciences
                Vascular Medicine
                Blood Pressure
                Hypertension
                Medicine and health sciences
                Infectious diseases
                Viral diseases
                HIV infections
                Medicine and Health Sciences
                Vascular Medicine
                Blood Pressure
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                Medicine and Health Sciences
                Endocrinology
                Endocrine Physiology
                Insulin Resistance
                Biology and Life Sciences
                Physiology
                Endocrine Physiology
                Insulin Resistance
                Medicine and Health Sciences
                Physiology
                Endocrine Physiology
                Insulin Resistance
                Custom metadata
                Due to potentially identifying information, data are available upon request to the corresponding author at akdimch@ 123456yahoo.com .

                Uncategorized
                Uncategorized

                Comments

                Comment on this article