International Scholarly Research Notices

International Scholarly Research Notices / 2012 / Article

Clinical Study | Open Access

Volume 2012 |Article ID 621565 | 8 pages |

Diabetes and Hypertension among Patients Receiving Antiretroviral Treatment Since 1998 in Senegal: Prevalence and Associated Factors

Academic Editor: B. Joos
Received28 Sep 2012
Accepted30 Oct 2012
Published01 Dec 2012


Cardiovascular risk factors in people on antiretroviral treatment (ART) are poorly documented in resource-constrained settings. A cross-sectional study was conducted in 2009 to assess prevalence of diabetes and hypertension in a sample of 242 HIV-infected patients who had initiated ART between 1998 and 2002 in Dakar, Senegal (ANRS 1215 observational cohort). World Health Organization (WHO) criteria were applied to diagnose diabetes and hypertension. Multiple logistic regressions were used to identify factors associated with diabetes and hypertension. Patients had a median age of 46 years and had received ART for a median duration of about 9 years. 14.5% had diabetes and 28.1% had hypertension. Long duration of ART (≥119 months), older age, higher body mass index (BMI), and higher levels of total cholesterol were associated with higher risks of diabetes. Older age, higher BMI at ART initiation, and higher levels of triglycerides were associated with higher risk of hypertension. This study shows that diabetes and hypertension were frequent in these Senegalese HIV patients on ART. It confirms the association between duration of ART and diabetes and highlights the need to implement programs for prevention of cardiovascular risk factors in HIV patients from resource-constrained settings.

1. Introduction

In December 2010, over five million people were on antiretroviral treatment (ART) in Sub-Saharan Africa [1]. In Senegal, this number reached 18,000 at the end of 2011, corresponding to a coverage rate of 78% [2].

The efficacy of ART has led to a significant reduction in mortality among people living with HIV [36], causing an increase in their life expectancy, which nevertheless remains below that of the general population [710]. This excess mortality is partially related to immunodepression but also organic and metabolic disorders that are not classified as AIDS [4, 1116]. These disorders have multifactor causes. The underlying physiopathological mechanisms have not been clearly established. Nevertheless, it is recognized that they involve phenomena related to the virus [1721], to antiretrovirals (ARVs) [2226], and to the host [2731]. These mechanisms contribute to noninfectious diseases including diabetes and hypertension, which are two major risk factors of cardiovascular disease and are associated with increased mortality and morbidity.

Available data on prevalence and the factors associated with diabetes and hypertension have dealt with populations of varying ages and whose duration of ARV exposure varied greatly. These studies have rarely addressed Sub-Saharan Africa where most countries have only recently begun ART in the 2000s.

In 1998, Senegal was one of the first resource-constrained countries to implement a government program providing free access to ARVs. A cohort of the 403 initial patients included in this program received routine followup, thus providing an opportunity to study the long-term impact of ART. Therefore, this study was conducted with two objectives: (1) to measure the prevalence of diabetes and hypertension among patients who have been receiving ART for several years in Senegal and (2) identify the factors associated with diabetes and hypertension.

2. Materials and Methods

2.1. Study Design and Population

A cross-sectional study was conducted between December, 2009 and March 31, 2010. Patients were recruited within the ANRS 1215 observational cohort, which initially included 403 HIV-1 patients enrolled in the Senegalese Antiretroviral Drug Access Initiative between 1998 and 2002. A total of 242 patients who were still alive and receiving follow-up on December 1, 2009 at the Fann University Hospital in Dakar were enrolled in this study. All patients were receiving antiretroviral treatment.

The study was approved by the Senegalese National Ethics Committee.

2.2. Definitions

Clinical and biological characteristics, including AIDS stage according to US Centers for Disease Control and Prevention (CDC) classification, hepatitis C or B coinfection, date of ART initiation, type and duration of all antiretroviral treatments received since initiation, CD4 cell count, and body mass index (BMI) at treatment initiation, were extracted from the ANRS 1215 cohort database.

BMI, CD4 cell count, viral load, levels of total cholesterol and triglycerides at the time of the study, and diabetes and hypertension diagnostics were collected from medical and laboratory files using standardized forms.

Patients were considered diabetic if their fasting blood glucose was ≥7.0 mmol/l at two consecutive measurements or if they were known to be diabetic patients.

Patients were considered as hypertensive if their systolic blood pressure was ≥140 mmHg and/or their diastolic blood pressure ≥90 mmHg at three consecutive measurements separated by at least two weeks and taken after a 1-hour rest in a sitting position or if they were known to be hypertensive and were treated for it.

2.3. Statistical Analysis

Frequencies of diabetes and of hypertension were compared according to the main characteristics of the study sample using χ²-tests or Fisher’s exact tests when appropriate.

Logistic regression was used to identify factors associated with diabetes and with hypertension. Age, sex, current BMI, BMI at treatment initiation, CDC stage, coinfection with hepatitis C virus (HCB) or hepatitis B virus (HBV), current CD4 cell count, CD4 count at treatment initiation, viral load, total cholesterol levels, triglyceride levels, treatment duration for each type of ARV drug, and total duration of ART were included in a bivariate analysis. All variables with in the bivariate analysis were entered in a multiple logistic regression. Treatment duration was entered as a continuous variable if the linearity of the association with the outcome variable was verified, and as a categorical variable if not. In the latter situation, the treatment duration (in months) was categorized in the following quartiles: [89–98[; [98–107[; [107–119[; [119–139[. The Hosmer-Lemeshow test was used to assess the goodness of fit of the logistic regression models.

All statistical tests were two-sided and considered statistically significant at a 5% threshold. Statistical analyses were performed using SAS statistical software (version 9.2, Cary, NC, USA).

3. Results

3.1. Characteristics of the Study Population

A total of 242 patients who agreed to participate were enrolled in the study. They had initiated ART between 1998 and 2002. The initial ARV regimen was a triple drug combination with two nucleoside reverse transcriptase inhibitors (NRTI) + a nonnucleoside reverse transcriptase inhibitor (NNRTI) or a protease inhibitor (PI). At treatment initiation, 39.3% received a PI-based regimen. Median treatment duration was almost 9 years. Some 75% of the patients had been receiving ART for at least 8 years. At the time of the study, half of the patients had a CD4 cell count above 500 cells/μL, and viral load was undetectable for 83% (Table 1).

CharacteristicsN (%)/median (IQR)

Age, median years (IQR)24246 (40–54)
BMI, median kg/m² (IQR)24222.3 (19.8–25.6)
BMI at treatment initiation, median kg/m² (IQR)24220.2 (18.4–22.6)
CDC stage
HCV or HBV infection45(18.6)
CD4 cell count, median cells/μL (IQR)242501 (372–722)
CD4 cell count at treatment initiation,
median cells/μL (IQR)
239146 (61–229)
HIV viral load < 50 copies/mL201(83.1)
Total cholesterol (g/L)
Triglycerides (g/L)

IQR: interquartile range; BMI: body mass index; HCV: hepatitis C virus; HBV: hepatitis B virus.

The most commonly prescribed NRTI combinations were lamivudine (3TC) + zidovudine (AZT) and stavudine (d4T) + didanosine (ddI). As for NNRTI and PI, the most commonly used molecules were efavirenz (EFV) and indinavir (IDV), respectively (Table 2).

Type of ARV drug* Number of patients exposedMean duration
(months) (±SD)

Any ARV242110(±13)
Zidovudine (AZT)17352(±45)
Stavudine (d4T)10323(±33)
Didanosine (ddI)15650(±48)
Lamivudine (3TC)24088(±32)
Efavirenz (EFV)18255(±44)
Nevirapine (NVP)7722(±47)
Indinavir (IDV)10725(±33)
Lopinavir/ritonavir (LPV/r)617(±15)

Abacavir, nelfinavir, and tenofovir were used by a few patients with very short durations of exposure.
3.2. Prevalence and Factors Associated with Diabetes

Among the 242 patients, 39 had diabetes, corresponding to a prevalence of 14.5% (95% confidence interval (CI): 10.3–19.5). The frequency of diabetes was higher in patients ≥45 years of age and in those with long duration of treatment (≥119 months) (Table 3). Those who had hypercholesterolemia or elevated triglycerides also had higher prevalence of diabetes.

Frequency (%)P Frequency (%)P

ART duration, months<0.0010.81
Age, years <0.0010.002
BMI, kg/m² 0.640.22
BMI at treatment initiation, kg/m² 0.220.35
CDC stage0.630.53
HCV or HBV coinfection0.470.39
CD4 cell count, cells/μL 0.700.09
CD4 cell count at treatment initiation, cells/μL 0.47
HIV viral load copies/mL0.640.56
Total cholesterol (g/L)0.030.11
Triglycerides (g/L)0.010.53

*Long duration of ART was defined for durations ≥119 months for comparison of diabetes prevalence and for durations ≥107 months for the comparison of hypertension.

Variables associated with diabetes in bivariate analyses were long duration of ART, age, BMI at treatment initiation, levels of total cholesterol and triglycerides, and duration of exposure to d4T, ddI, and IDV. In multivariate analysis, long duration to ART, older age, higher BMI at treatment initiation, and higher level of triglycerides were independently associated with higher risk of diabetes (Table 4).

OR95% CIOR95% CI

ART duration, months0.990.96–1.01
 Short < 1191
 Long ≥ 1193.781.69–8.42
Age, years1.061.01––1.10
BMI, kg/m²1.101.03–1.18
BMI at treatment initiation, kg/m²1.131.02––1.19
CD4 cell count, cells/μL1.000.98–1.02
Total cholesterol (g/L)1.780.68–4.662.481.19–5.16
Triglycerides (g/L)2.321.12–4.811.340.67–2.69
Drug exposure duration (months)
 Zidovudine (AZT)1.050.97–1.13
 Stavudine (d4T)1.060.99––1.08
 Didanosine (ddI)0.980.90–1.06
 Nevirapine (NVP)0.990.92–1.06
 Indinavir (IDV)1.030.95––1.16
 Lopinavir/ritonavir (LPV/r)0.840.67–1.050.840.71–0.99

OR: odds-ratio; CI: confidence interval; BMI: body mass index; HCV: hepatitis C virus; HBV: hepatitis B virus.
3.3. Prevalence and Factors Associated with Hypertension

The prevalence of hypertension in the study population was 28.1% (CI: 22.5–34.2). Out of 68 patients who had hypertension (or were receiving antihypertensive treatment), 15 (22%) were aware of their condition before initiating ARV therapy. Patients over 45 years of age were more likely to have hypertension. Higher prevalence of hypertension was also observed for male patients, those who were overweight (BMI ≥ 25 kg/m²) at treatment initiation or at time of the study, those who had a CD4 count above 200 cells/μL, and those presenting with hypercholesterolemia or hypertriglyceridemia, but differences were not statistically significant (Table 3).

In multivariate analysis, older age, higher current BMI, higher cholesterolemia, and longer duration of IDV exposure were associated with higher risk of hypertension. Total duration of ART was not found to be associated, and longer exposure to lopinavir/ritonavir (LPV/r) was associated with a reduced risk of hypertension (Table 4).

4. Discussion

The patients in this study were black Africans who initiated ART in Senegal between 1998 and 2002 and who have received regular followup until December 1, 2009. At that date, they had been receiving ARVs for a median duration of nearly 9 years; half of the patients were over 46 years old. Prevalence of diabetes and hypertension was 14.5% and 28.1%, respectively.

After adjustment, diabetes appeared to be associated with the duration of ARV exposure while hypertension did not. Other associated factors were the same as those for the general population.

One of this study’s strengths is its investigation of the long-term impact of treatments with ARV-exposure durations rarely observed in other developing countries where ART was available well after 1998. Some treatments used at inclusion, such as IDV, nelfinavir (NFV), or d4T (particularly the 40 mg dosage), are no longer in use. However, most of the patients on ARVs in developing countries were also exposed to these molecules for long durations. Our study results may be useful for resource-constrained countries that began with ARV triple therapies in the 2000s in populations that generally had the same characteristics as those in our cohort. These results provide a long-term view for these countries where ART started several years after Senegal.

Another strength is having used definitions for diabetes and hypertension that took into account several successive measurements in accordance with WHO guidelines or those of specialized American associations.

Interpretation of our results must take into account several limitations. This is a cross-sectional study and, as such, could only identify associated factors and not risk factors. Moreover, some potentially confounding factors were not taken into account in the analysis. Family history of diseases under study, the CD4 nadir, and adherence to ART were not collected.

After a median follow-up duration of 107 months, 14.5% of patients presented with diabetes. Data from developing countries come from three studies. A study in Benin reported a prevalence of 8% after a median exposure to ARVs of 23.2 months and an average age of 38 years [32]. In South Africa, only four cases of diabetes were identified among 304 patients exposed to ARVs for more than one year [33]. A recent study involving 4010 patients from seven countries in Latin America found an overall prevalence of 3.6% for type 2 diabetes [34]. The lower prevalence found in these studies when compared to ours can be explained in part by two factors: a younger population and, in some cases, a shorter duration of ARV exposure.

More research in the literature has been published from developed countries, and it deals with both the prevalence and incidence of diabetes. Most of these studies report prevalence and/or incidence rates higher than observed in the general population [3538], while others report similar [39], or even lower [34], figures. Even though conventional risk factors have been confirmed in this population, ARV exposure is not unanimously recognized as a factor associated with diabetes [36, 37, 4046].

In France, data from the ANRS cohort APROCO-COPILOTE report a prevalence of 9% for diabetes after 8 years of ART [47]. In a cohort of 1278 males from the United States (Multicenter AIDS Cohort Study (MACS)), the prevalence of diabetes, adjusted for age and BMI, was 14% among seropositive patients on ARVs, corresponding to 4.6 times greater than among seronegative patients. This same study estimated a 10% risk of developing diabetes after 4 years of treatment [37]. Incidences of 2.50/100 person/years and 2.89/100 person/years, respectively, were reported in the study by Tien et al. among patients on PI-based triple therapy and those on triple therapy not containing IP [36]. In the D:A:D study, incidence was 4.42/1000 person/years [48] and 5.72/1000 for a Swiss cohort [43]. The prevalence observed in our study is higher than that reported in the French study [47] and nearly identical to the one found in the MACS. However, differences between the study populations must be taken into account, particularly in terms of age, ethnicity, and treatment duration. In France, the prevalence of impaired glucose tolerance rose significantly with age, BMI, and exposure to IDV [47]. In the MACS, the factor having a high association with the onset of diabetes was ART (HR = 4.11; CI: 1.85–9.16 after adjusting for age and BMI) [37], although it was NRTI exposure in the female population for the Tien PC study [36]. In the Swiss cohort, the factors associated with the onset of diabetes were male sex, age >60 years, African or Asian ethnicity, stage C of CDC classification, obesity, NRTI exposure, and PI exposure [43]. All of the associated factors found in our study were also found in the D:A:D study to be risk factors for diabetes [48]. A recent publication from the APROCO-COPILOTE cohort also found that advanced age, overweight, and exposure to IDV were among the risk factors for incident diabetes. This involved patients who received ARVs for a median duration of 9.6 years with an incidence of 14.1/1000 person/years [49].

Studies on hypertension among people living with HIV report a wide range of prevalence [33, 38, 5056]. Factors associated with this prevalence are the same as those found in the general population. The role of ART remains controversial [38, 48, 5255, 5761].

Few studies have been conducted in the South. In Johannesburg, a prevalence of 19.1% was observed among patients infected with HIV, ages 18 to 45 years, and on ARVs for over one year [33]. In Brazil, two studies reported a prevalence of 19.9% and 25.6%, respectively [38, 50]. The study of the South American cohort reported a prevalence of 31.5% [34] but used a different definition (systolic blood pressure ≥ 130 mm Hg and/or diastolic blood pressure ≥ 85 mm Hg) than that of our study. Factors associated with hypertension were age, male sex, overweight, and hypertriglyceridemia [50].

In developed countries, prevalence ranges between 20% and 40% among populations exposed to ARVs, however, with differences in terms of age; ethnicity; duration of ARV exposure; clinical, immunological and virological status [5156]. These prevalence figures were reported in Norway, Spain, Italy, and the United States. The role of conventional risk factors recognized in the general population was unanimously highlighted in all these studies. The role of ART was questionable. In Norway, treatment duration appeared to be a predictive factor for hypertension in one study, but it did not investigate the roles of various ARV molecules [52]. Another case-control study reported a higher prevalence of hypertension among people on ARVs compared to those who were not (21% versus 13%, resp.), but the difference was not significant [54]. There was also no difference in prevalence based on whether or not patients were exposed to NNRTIs or PIs.

In Spain, a rise in blood pressure was reported after 48 weeks of ART. The authors suggested that treatment had a partial role in raising blood pressure by improving the patient’s health condition [53]. This study only involved 95 patients with a treatment duration of 48 weeks, making it difficult to draw a precise conclusion on this point. Gazzaruso et al. found no association between ART and hypertension, but their study only examined exposure to NRTIs and PIs and not the duration of treatment exposure nor each ARV molecule [55].

Thiébaut et al. investigated risk factors of the onset of hypertension in the D:A:D study and exposure to ARVs did not appear to be a risk factor for hypertension after adjustment. On the other hand, the cumulative duration of exposure to NNRTIs was associated with a slight risk of hypertension (a reduced risk between 22% and 33% was observed among those who were exposed to NNRTIs compared to those who never received any NNRTIs) [59].

In the United States, it was found that atazanavir (ATV) played a protective role in the onset of raised blood pressure compared to EFV [62]. This same study found a slight risk of a raised blood pressure among patients exposed to ATV, NFV, and IDV compared to patients exposed to LPV/r. This did not agree with our results, which found that hypertension had a positive association with IDV and a negative one with LPV/r. Nevertheless, it should be noted that this last study only took into account ART at inclusion in contrast to ours, which investigated exposure duration. On the other hand, our patients were exposed to high concentrations of IDV (2400 mg/day) without ritonavir. The association between IDV and hypertension, observed in an earlier study, is likely linked to the renal toxicity of this molecule [63].

Our study suggests that prevalence of diabetes and hypertension is higher among people exposed to ARVs compared to the general population in Senegal [64, 65]. A recent study reported prevalence of 10.4% and 46% for diabetes and hypertension, respectively, but the diagnosis of hypertension was based on one measure and was certainly overestimated [66]. There is a positive association between ART duration and diabetes. This observation is consistent with most of the literature that has assessed the association between ARVs and diabetes. However, the association between certain ARV molecules and systolic hypertension seems more controversial.

Diabetes and hypertension are known risk factors for cardiovascular disease in low- and middle-income countries which represents more than 80% of the global burden of cardiovascular disease worlwide [67]. For patients on ARVs, these factors combine with other comorbidities [68, 69] and cause high mortality [70]; otherwise, they have a potentially negative impact on the quality of life and efficacy of ARVs.

Treatment for these diseases occurs over the long term, if not for life, thus, posing problems regarding cost and observance in resource-constrained countries. This highlights the importance of implementing screening, early diagnosis, and prevention measures for these disorders.

Screening for diabetes and hypertension must be an integral part of followup for HIV-positive persons, more specifically among those who are on ARVs. The same applies for other prevention measures for cardiovascular disease (tobacco use, overweight, and hyperlipidemia). To do this, models for followup must integrate these parameters. Diet and lifestyle advice, including smoking cessation, regular physical activity, and a balanced diet, must be integrated into routine consultations for these populations. Measurements of blood pressure, waist circumference and glycemia, cholesterolemia, and triglyceridemia must also be taken regularly, at least at a certain age and/or specific duration of ARV exposure and even for a specified cardiovascular risk level.

Our study provides the first data on diabetes and hypertension among people who are living with HIV and on ART in Senegal. This contributes to improved assessment and better analysis of this problem in the context of resource-constrained countries where literature on this topic is rare.


The ANRS 1215 Study Group

(i)Ibra Ndoye (Conseil National de Lutte contre le Sida, Dakar, Sénégal), (ii)Eric Delaporte, Jean-François Etard, Martine Peeters, Alice Desclaux, Pierre de Beaudrap, Christian Laurent, Julie Coutherut, Tidiane Ndoye, Nicole Vidal, Claire Moquet, Sabrina Eymard-Duvernay, Cécile Cames, Kirsten Bork, Sabah Boufkhed, Mathilde Couderc, Amandine Cournil, Bernard Taverne (IRD, UMI 233; Université Montpellier 1, France). (iii)Assane Diouf, Mame Basty Koïta Fall, Alle Baba Dieng, Christian Eric Massidi, Adama Sarr, Khoudia Sow, Mariane Ndiaye Berthe, Saïdou Ba, Absa Ba, Catherine Lissoune Fall Sané, Sokhna Boye, Caroline Desclaux, Héléne Dior Mbodj, Coumba Gueye Cissé, Frédérique Muller, Kouro Bousso Niang, Marie-Louise Sarr, Estelle Simen, Alassane Sow, El Hadj Malick Sy Camara (Centre régional de recherche et de formation à la prise en charge, Centre Hospitalier National Universitaire de Fann, Dakar, Sénégal), (iv)Maryvonne Maynard, Isabelle Lanièce, Vanina Cilote (Service de Coopération et d’Action Culturelle, Ambassade de France, Dakar, Sénégal), (v)Papa Salif Sow, Ibrahima Ndiaye, Cheickh Tidiane Ndour, Viviane Pierre Marie Ciss, (Centre Hospitalier National Universitaire de Fann, Service des Maladies Infectieuses et Tropicales, Dakar, Sénégal),(vi)Ndeye Fatou Ngom Guèye, Djibril Baal, Batista Gilbert, Andréa Robalo Diassy (Centre Hospitalier National Universitaire de Fann, Centre de Traitement Ambulatoire, Dakar, Sénégal), (vii)Jeanne Diaw (Hôpital Général de Grand Yoff, Dakar, Sénégal)(viii)René Ecochard, (Université Claude Bernard Lyon I, France)(ix)Mathieu Bastard (Epicentre, Paris, France)(x)Kadidiatou Ba Fall, Pape Madoumbé Guèye, Pape Samba Ba, Madiouba Diawara (Hôpital Principal de Dakar, Dakar, Sénégal), (xi)Souleymane Mboup, Pape Alassane Diaw, Halimatou Diop Ndiaye, Ndeye Coumba Touré Kane, Moussa Thiam (Centre Hospitalier National Universitaire Le Dantec, Laboratoire de Virologie et Bactériologie, Dakar, Sénégal),(xii)Karim Diop (Ministère de la Santé, Division de lutte contre le sida, Dakar, Sénégal),(xiii)Bara Ndiaye (Centre Hospitalier National Universitaire de Fann, Pharmacie centrale, Dakar, Sénégal).


The authors thank Laura Ciaffi and Sharon Calandra for their contribution.


  1. OMS, ONUSIDA, UNICEF, “UNICEF. La riposte mondiale au VIH/sida: rapport de situation 2011,” View at: Google Scholar
  2. République du Sénégal, “Conseil National de Lutte contre le Sida (CNLS), Programme Commun des Nations Unies sur le VIH/sida (ONUSIDA),” Rapport De Situation Sur La Riposte NationaLe À L’Épidémie De VIH/Sida, SénégaL 2010–2011, 2012. View at: Google Scholar
  3. F. J. Palella Jr., K. M. Delaney, A. C. Moorman, M. O. Loveless, J. Fuhrer, G. A. Satten et al., “Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. HIV Outpatient Study Investigators,” The New England Journal of Medicine, vol. 338, no. 13, pp. 853–860, 1998. View at: Google Scholar
  4. S. G. Deeks, “Immune dysfunction, inflammation, and accelerated aging in patients on antiretroviral therapy,” Topics in HIV Medicine, vol. 17, no. 4, pp. 118–123, 2009. View at: Google Scholar
  5. A. C. Justice, “HIV and aging: time for a new paradigm,” Current HIV/AIDS Reports, vol. 7, no. 2, pp. 69–76, 2010. View at: Publisher Site | Google Scholar
  6. Antiretroviral Therapy Cohort Collaboration, “Life expectancy of individuals on combination antiretroviral therapy in high-income countries: a collaborative analysis of 14 cohort studies,” The Lancet, vol. 372, no. 9635, pp. 293–299, 2008. View at: Google Scholar
  7. M. May, M. Gompels, V. Delpech, K. Porter, F. Post, M. Johnson et al., “Impact of late diagnosis and treatment on life expectancy in people with HIV-1: UK Collaborative HIV Cohort, (UK CHIC) Study,” British Medical Journal, vol. 343, Article ID d6016, 2011. View at: Google Scholar
  8. L. Cockerham, R. Scherzer, A. Zolopa et al., “Association of HIV infection, demographic and cardiovascular risk factors with all-cause mortality in the recent haart Era,” Journal of Acquired Immune Deficiency Syndromes, vol. 53, no. 1, pp. 102–106, 2010. View at: Publisher Site | Google Scholar
  9. M. Egger, “Mortality of HIV-infected patients starting potent antiretroviral therapy: comparison with the general population in nine industrialized countries,” International Journal of Epidemiology, vol. 38, no. 6, pp. 1624–1633, 2009. View at: Publisher Site | Google Scholar
  10. N. Lohse, A. B. E. Hansen, G. Pedersen et al., “Survival of persons with and without HIV infection in Denmark, 1995–2005,” Annals of Internal Medicine, vol. 146, no. 2, pp. 87–95, 2007. View at: Google Scholar
  11. R. Weber, C. A. Sabin, N. Friis-Møller, P. Reiss, W. M. El-Sadr, O. Kirk et al., “Liver-related deaths in persons infected with the human immunodeficiency virus: the D:A:D study,” Archives of Internal Medicine, vol. 166, no. 15, pp. 1632–1641, 2006. View at: Google Scholar
  12. A. C. Justice, “Prioritizing primary care in HIV: comorbidity, toxicity, and demography,” Topics in HIV Medicine, vol. 14, no. 5, pp. 159–163, 2006. View at: Google Scholar
  13. J. E. Sackoff, D. B. Hanna, M. R. Pfeiffer, and L. V. Torian, “Causes of death among persons with aids in the era of highly active antiretroviral therapy: New York City,” Annals of Internal Medicine, vol. 145, no. 6, pp. 397–406, 2006. View at: Google Scholar
  14. A. N. Phillips, J. Neaton, and J. D. Lundgren, “The role of HIV in serious diseases other than AIDS,” AIDS, vol. 22, no. 18, pp. 2409–2418, 2008. View at: Publisher Site | Google Scholar
  15. M. Herida, M. Mary-Krause, R. Kaphan et al., “Incidence of non-AIDS-defining cancers before and during the highly active antiretroviral therapy era in a cohort of human immunodeficiency virus-infected patients,” Journal of Clinical Oncology, vol. 21, no. 18, pp. 3447–3453, 2003. View at: Google Scholar
  16. G. Guaraldi, G. Orlando, S. Zona, M. Menozzi, F. Carli, E. Garlassi et al., “Premature age-related comorbidities among HIV-infected persons compared with the general population,” Clinical Infectious Diseases, vol. 53, no. 11, pp. 1120–1126, 2011. View at: Google Scholar
  17. P. W. Hunt, J. N. Martin, E. Sinclair et al., “T cell activation is associated with lower CD4+ T cell gains in human immunodeficiency vires-infected patients with sustained viral suppression during antiretroviral therapy,” Journal of Infectious Diseases, vol. 187, no. 10, pp. 1534–1543, 2003. View at: Publisher Site | Google Scholar
  18. P. W. Hunt, J. Brenchley, E. Sinclair et al., “Relationship between T cell activation and CD4+ T cell count in HIV-seropositive individuals with undetectable plasma HIV RNA levels in the absence of therapy,” Journal of Infectious Diseases, vol. 197, no. 1, pp. 126–133, 2008. View at: Publisher Site | Google Scholar
  19. J. M. Brenchley, D. A. Price, T. W. Schacker et al., “Microbial translocation is a cause of systemic immune activation in chronic HIV infection,” Nature Medicine, vol. 12, no. 12, pp. 1365–1371, 2006. View at: Publisher Site | Google Scholar
  20. S. Palmer, F. Maldarelli, A. Wiegand et al., “Low-level viremia persists for at least 7 years in patients on suppressive antiretroviral therapy,” Proceedings of the National Academy of Sciences of the United States of America, vol. 105, no. 10, pp. 3879–3884, 2008. View at: Publisher Site | Google Scholar
  21. A. R. Stacey, P. J. Norris, L. Qin et al., “Induction of a striking systemic cytokine cascade prior to peak viremia in acute human immunodeficiency virus type 1 infection, in contrast to more modest and delayed responses in acute hepatitis B and C virus infections,” Journal of Virology, vol. 83, no. 8, pp. 3719–3733, 2009. View at: Publisher Site | Google Scholar
  22. A. Calmy, B. Hirschel, D. A. Cooper, and A. Carr, “Clinical update: adverse effects of antiretroviral therapy,” The Lancet, vol. 370, no. 9581, pp. 12–14, 2007. View at: Publisher Site | Google Scholar
  23. K. Brinkman, H. J. M. Ter Hofstede, D. M. Burger, J. A. M. Smeitink, and P. P. Koopmans, “Adverse effects of reverse transcriptase inhibitors: mitochondrial toxicity as common pathway,” AIDS, vol. 12, no. 14, pp. 1735–1744, 1998. View at: Google Scholar
  24. S. W. Worm, C. Sabin, R. Weber et al., “Risk of myocardial infarction in patients with HIV infection exposed to specific individual antiretroviral drugs from the 3 major drug classes: the data collection on adverse events of Anti-HIV Drugs (D:A:D) Study,” Journal of Infectious Diseases, vol. 201, no. 3, pp. 318–330, 2010. View at: Publisher Site | Google Scholar
  25. The SMART/INSIGHT and the D:A:D Study Groups, “Use of nucleoside reverse transcriptase inhibitors and risk of myocardial infarction in HIV-infected patients,” AIDS, vol. 22, no. 14, pp. F17–F24, 2008. View at: Publisher Site | Google Scholar
  26. A. Mocroft, O. Kirk, P. Reiss et al., “Estimated glomerular filtration rate, chronic kidney disease and antiretroviral drug use in HIV-positive patients,” AIDS, vol. 24, no. 11, pp. 1667–1678, 2010. View at: Publisher Site | Google Scholar
  27. S. G. Deeks and A. N. Phillips, “HIV infection, antiretroviral treatment, ageing, and non-AIDS related morbidity,” British Medical Journal, vol. 338, Article ID a3172, 2009. View at: Publisher Site | Google Scholar
  28. G. Bisson, R. Gross, V. Miller, I. Weller, and A. Walker, “Monitoring of long-term toxicities of HIV treatments: an international perspective,” AIDS, vol. 17, no. 17, pp. 2407–2417, 2003. View at: Publisher Site | Google Scholar
  29. J. L. Goulet, S. L. Fultz, D. Rimland et al., “Do patterns of comorbidity vary by HIV status, age, and HIV severity?” Clinical Infectious Diseases, vol. 45, no. 12, pp. 1593–1601, 2007. View at: Publisher Site | Google Scholar
  30. R. E. Gress and S. G. Deeks, “Reduced thymus activity and infection prematurely age the immune system,” Journal of Clinical Investigation, vol. 119, no. 10, pp. 2884–2887, 2009. View at: Publisher Site | Google Scholar
  31. J. B. Kirk and M. B. Goetz, “Human immunodeficiency virus in an aging population, a complication of success,” Journal of the American Geriatrics Society, vol. 57, no. 11, pp. 2129–2138, 2009. View at: Publisher Site | Google Scholar
  32. D. M. Zannou, L. Denoeud, K. Lacombe et al., “Incidence of lipodystrophy and metabolic disorders in patients starting non-nucleoside reverse transcriptase inhibitors in Benin,” Antiviral Therapy, vol. 14, no. 3, pp. 371–380, 2009. View at: Google Scholar
  33. H. Julius, D. Basu, E. Ricci et al., “The burden of metabolic diseases amongst HIV positive patients on HAART attending the Johannesburg hospital,” Current HIV Research, vol. 9, no. 4, pp. 247–252, 2011. View at: Google Scholar
  34. P. Cahn, O. Leite, A. Rosales et al., “Metabolic profile and cardiovascular risk factors among Latin American HIV-infected patients receiving HAART,” Brazilian Journal of Infectious Diseases, vol. 14, no. 2, pp. 158–166, 2010. View at: Google Scholar
  35. R. Bedimo, A. O. Westfall, M. Mugavero, H. Drechsler, N. Khanna, and M. Saag, “Hepatitis C virus coinfection and the risk of cardiovascular disease among HIV-infected patients,” HIV Medicine, vol. 11, no. 7, pp. 462–468, 2010. View at: Publisher Site | Google Scholar
  36. P. C. Tien, M. F. Schneider, S. R. Cole et al., “Antiretroviral therapy exposure and incidence of diabetes mellitus in the Women's Interagency HIV Study,” AIDS, vol. 21, no. 13, pp. 1739–1745, 2007. View at: Publisher Site | Google Scholar
  37. T. T. Brown, S. R. Cole, X. Li et al., “Antiretroviral therapy and the prevalence and incidence of diabetes mellitus in the multicenter AIDS cohort study,” Archives of Internal Medicine, vol. 165, no. 10, pp. 1179–1184, 2005. View at: Publisher Site | Google Scholar
  38. E. F. Da Silva, K. C. Bassichetto, and D. S. Lewi, “Lipid profile, cardiovascular risk factors and metabolic syndrome in a group of AIDS patients,” Arquivos Brasileiros de Cardiologia, vol. 93, no. 2, pp. 113–118, 2009. View at: Publisher Site | Google Scholar
  39. A. A. Howard, M. Floris-Moore, J. H. Arnsten et al., “Disorders of glucose metabolism among HIV-infected women,” Clinical Infectious Diseases, vol. 40, no. 10, pp. 1492–1499, 2005. View at: Publisher Site | Google Scholar
  40. M. I. González-Tomé, J. T. Ramos Amador, S. Guillen et al., “Gestational diabetes mellitus in a cohort of HIV-1 infected women,” HIV Medicine, vol. 9, no. 10, pp. 868–874, 2008. View at: Publisher Site | Google Scholar
  41. H. Wand, A. Calmy, D. L. Carey et al., “Metabolic syndrome, cardiovascular disease and type 2 diabetes mellitus after initiation of antiretroviral therapy in HIV infection,” AIDS, vol. 21, no. 18, pp. 2445–2453, 2007. View at: Publisher Site | Google Scholar
  42. M. K. Jain, C. Aragaki, L. Fischbach et al., “Hepatitis C is associated with type 2 diabetes mellitus in HIV-infected persons without traditional risk factors,” HIV Medicine, vol. 8, no. 8, pp. 491–497, 2007. View at: Publisher Site | Google Scholar
  43. B. Ledergerber, H. Furrer, M. Rickenbach et al., “Factors associated with the incidence of type 2 diabetes mellitus in HIV-infected participants in the Swiss HIV cohort study,” Clinical Infectious Diseases, vol. 45, no. 1, pp. 111–119, 2007. View at: Publisher Site | Google Scholar
  44. A. A. Howard, M. Floris-Moore, Y. Lo, J. H. Arnsten, N. Fleischer, and R. S. Klein, “Abnormal glucose metabolism among older men with or at risk of HIV infection,” HIV Medicine, vol. 7, no. 6, pp. 389–396, 2006. View at: Publisher Site | Google Scholar
  45. A. A. Butt, S. L. Fultz, C. K. Kwoh, D. Kelley, M. Skanderson, and A. C. Justice, “Risk of diabetes in HIV infected veterans pre- and post-HAART and the role of HCV coinfection,” Hepatology, vol. 40, no. 1, pp. 115–119, 2004. View at: Publisher Site | Google Scholar
  46. A. A. Howard, R. S. Klein, and E. E. Schoenbaum, “Association of hepatitis C infection and antiretroviral use with diabetes mellitus in drug users,” Clinical Infectious Diseases, vol. 36, no. 10, pp. 1318–1323, 2003. View at: Publisher Site | Google Scholar
  47. M. Savès, F. Raffi, J. Capeau et al., “Factors related to lipodystrophy and metabolic alterations in patients with human immunodeficiency virus infection receiving highly active antiretroviral therapy,” Clinical Infectious Diseases, vol. 34, no. 10, pp. 1396–1405, 2002. View at: Publisher Site | Google Scholar
  48. S. De Wit, C. A. Sabin, R. Weber et al., “Incidence and risk factors for new-onset diabetes in HIV-infected patients,” Diabetes Care, vol. 31, no. 6, pp. 1224–1229, 2008. View at: Publisher Site | Google Scholar
  49. J. Capeau, V. Bouteloup, C. Katlama et al., “Ten-year diabetes incidence in 1046 HIV-infected patients started on a combination antiretroviral treatment,” AIDS, vol. 26, no. 3, pp. 303–314, 2012. View at: Google Scholar
  50. E. R. de Arruda, H. R. Lacerda, L. C. R. V. Moura et al., “Risk factors related to hypertension among patients in a cohort living with HIV/AIDS,” Brazilian Journal of Infectious Diseases, vol. 14, no. 3, pp. 281–287, 2010. View at: Google Scholar
  51. B. Mothe, I. Perez, P. Domingo et al., “HIV-1 infection in subjects older than 70: a multicenter cross-sectional assessment in Catalonia, Spain,” Current HIV Research, vol. 7, no. 6, pp. 597–600, 2009. View at: Publisher Site | Google Scholar
  52. M. Baekken, I. Os, L. Sandvik, and O. Oektedalen, “Hypertension in an urban HIV-positive population compared with the general population: influence of combination antiretroviral therapy,” Journal of Hypertension, vol. 26, no. 11, pp. 2126–2133, 2008. View at: Publisher Site | Google Scholar
  53. R. Palacios Muñoz, J. Santos, A. García et al., “Impact of highly active antiretroviral therapy on blood pressure in HIV-infected patients. A prospective study in a cohort of naive patients,” HIV Medicine, vol. 7, no. 1, pp. 10–15, 2006. View at: Publisher Site | Google Scholar
  54. B. M. Bergersen, L. Sandvik, O. Dunlop, K. Birkeland, and J. N. Bruun, “Prevalence of hypertension in HIV-positive patients on highly active retroviral therapy (HAART) compared with HAART-Naïve and HIV-negative controls: results from a Norwegian Study of 721 patients,” European Journal of Clinical Microbiology and Infectious Diseases, vol. 22, no. 12, pp. 731–736, 2003. View at: Publisher Site | Google Scholar
  55. C. Gazzaruso, R. Bruno, A. Garzaniti et al., “Hypertension among HIV patients: prevalence and relationships to insulin resistance and metabolic syndrome,” Journal of Hypertension, vol. 21, no. 7, pp. 1377–1382, 2003. View at: Publisher Site | Google Scholar
  56. A. G. Coloma Conde, M. Álvarez Albarrán, A. Roca-Cusachs Coll, P. Domingo Pedrol, and M. Puig Campmany, “Prevalence of arterial hypertension and lipid profile in HIV patients,” Medicina Clinica, vol. 131, no. 18, pp. 681–684, 2008. View at: Publisher Site | Google Scholar
  57. J. M. Grandominico and C. J. Fichtenbaum, “Short-term effect of HAART on blood pressure in HIV-infected individuals,” HIV Clinical Trials, vol. 9, no. 1, pp. 52–60, 2008. View at: Publisher Site | Google Scholar
  58. H. M. Crane, S. E. Van Rompaey, and M. M. Kitahata, “Antiretroviral medications associated with elevated blood pressure among patients receiving highly active antiretroviral therapy,” AIDS, vol. 20, no. 7, pp. 1019–1026, 2006. View at: Publisher Site | Google Scholar
  59. R. Thiébaut, W. M. El-Sadr, N. Friis-Møller et al., “Predictors of hypertension and changes of blood pressure in HIV-infected patients,” Antiviral Therapy, vol. 10, no. 7, pp. 811–823, 2005. View at: Google Scholar
  60. E. C. Seaberg, A. Muñoz, M. Lu et al., “Association between highly active antiretroviral therapy and hypertension in a large cohort of men followed from 1984 to 2003,” AIDS, vol. 19, no. 9, pp. 953–960, 2005. View at: Google Scholar
  61. D. C. Chow, S. A. Souza, R. Chen et al., “Elevated blood pressure in HIV-infected individuals receiving highly active antiretroviral therapy,” HIV Clinical Trials, vol. 4, no. 6, pp. 411–416, 2003. View at: Publisher Site | Google Scholar
  62. H. M. Crane, C. Grunfeld, R. D. Harrington, and M. M. Kitahata, “Lipoatrophy and lipohypertrophy are independently associated with hypertension,” HIV Medicine, vol. 10, no. 8, pp. 496–503, 2009. View at: Publisher Site | Google Scholar
  63. A. M. Cattelan, M. Trevenzoli, A. Naso, F. Meneghetti, and P. Cadrobbi, “Severe hypertension and renal atrophy associated with indinavir,” Clinical Infectious Diseases, vol. 30, no. 3, pp. 619–621, 2000. View at: Publisher Site | Google Scholar
  64. A. Kane, S. A. Ba, M. Sarr et al., “Arterial hypertension in Senegal: epidemiological aspects, clinical features, and therapeutic management problems,” Dakar Médical, vol. 40, no. 2, pp. 157–161, 1995. View at: Google Scholar
  65. S. B. Gning, M. Thiam, F. Fall, K. Ba-Fall, P. S. Mbaye, and L. Fourcade, “Le diabète sucré en Afrique subsaharienne: aspects épidémiologiques, difficultés de prise en charge,” Médecine Tropicale, vol. 67, pp. 607–611, 2007. View at: Google Scholar
  66. M. N. Mbaye, K. Niang, A. Sarr, A. Mbaye, D. Diedhiou, M. D. Ndao et al., “Aspects épidémiologiques du diabète au Sénégal : résultats d’une enquête sur les facteurs de risque cardiovasculaire dans la ville de Saint-Louis,” Médecine des Maladies Métaboliques, vol. 6, pp. 659–664, 2011. View at: Google Scholar
  67. S. Yusuf, S. Hawken, and S. Ounpuu, “Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control study,” The Lancet, vol. 364, no. 9450, p. 2020, 2004. View at: Publisher Site | Google Scholar
  68. X. Duval, G. Baron, D. Garelik et al., “Living with HIV, antiretroviral treatment experience and tobacco smoking: results from a multisite cross-sectional study,” Antiviral Therapy, vol. 13, no. 3, pp. 389–397, 2008. View at: Google Scholar
  69. R. J. Devlin and J. A. Henry, “Clinical review: major consequences of illicit drug consumption,” Critical Care, vol. 12, article 202, 2008. View at: Google Scholar
  70. C. Lewden, T. May, E. Rosenthal et al., “Changes in causes of death among adults infected by HIV between 2000 and 2005: the “mortalité 2000 and 2005” surveys (ANRS EN19 and mortavic),” Journal of Acquired Immune Deficiency Syndromes, vol. 48, no. 5, pp. 590–598, 2008. View at: Publisher Site | Google Scholar

Copyright © 2012 Assane Diouf et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

3584 Views | 1829 Downloads | 22 Citations
 PDF  Download Citation  Citation
 Download other formatsMore
 Order printed copiesOrder

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19.