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The Pan African Medical Journal logoLink to The Pan African Medical Journal
. 2012 Oct 30;13:43.

Prevalence of lipodystrophy and metabolic syndrome among HIV positive individuals on Highly Active Anti-Retroviral treatment in Jimma, South West Ethiopia

Tsegay Berhane 1, Alemishet Yami 1, Fessahaye Alemseged 2, Tilahun Yemane 1, Leja Hamza 1, Mehedi Kassim 1, Kebede Deribe 2,3,&
PMCID: PMC3542806  PMID: 23330034

Abstract

Introduction

Use of highly active antiretroviral therapy has led to significant reductions in morbidity and mortality rates. However, these agents had also given rise to the metabolic and morphologic abnormalities which are modifiable risk factors for cardiovascular diseases. Evidences elsewhere indicate growing in prevalence of these problems but studies are lacking in Ethiopia. This study was conducted to determine the prevalence of HIV-associated lipodystrophy and metabolic syndrome in patients taking highly active antiretroviral therapy.

Methods

A cross-sectional study was conducted in 2010 on a sample of 313 patients taking highly active antiretroviral therapy in Jimma University specialized hospital. Structured questionnaire was used to assess patients’ sociodemographic characteristics and clinical manifestations of metabolic abnormalities. Checklists were used for reviewing charts about clinical manifestations of metabolic abnormalities and immunologic profile of patients. Data was cleaned, entered in and analyzed using SPSS for windows version 16.0.

Results

Metabolic syndrome was detected in 21.1% and HIV-lipodystrophy was detected 12.1% of patients. The factors found to be independently associated with metabolic syndrome were taking the antiretroviral therapy for more than 12 months (AOR=4.2; 95% CI=1.24–14.23) and female sex (AOR=2.30; 95% CI=1.0–5.27) and the factor found to be independently associated with HIV-lipodystrophy was taking the antiretroviral therapy (AOR=3.59; 95% CI=1.03–12.54) for more than 12 months.

Conclusion

Metabolic abnormalities were relatively common in the study population. The problems were higher among those who took anti-retroviral treatment for longer duration. Therefore, regular screening for and taking action against the metabolic abnormalities is mandatory.

Keywords: HIV-lipodystrophy, metabolic syndrome, anti-retroviral

Introduction

The advent of HARRT is a breakthrough in improving longevity and quality of life of PLHIV. However the treatment is not without risk or side effects. Dyslipidemia is one of the complications of highly active antiretroviral therapy (HAART), and it has a well established linked to an increased risk for cardiovascular morbidity in HIV infected individuals [1]. Patients with HIV infection receiving HAART also, develop a syndrome referred to as HIV-associated lipodystrophy, consisting of elevations in plasma triglycerides, total cholesterol, and hyperglycemia. The treatment of patients with HIV infection requires not only a comprehensive knowledge of ARV therapy, but also the ability to deal with the problems of a chronic, potentially life-threatening illness like cardiovascular diseases [25].

Among HIV-infected patients taking HAART there are reports of adverse effect treatment from different countries [6, 7] particularly like HIV-associated lipodystrophy and metabolic syndrome. Few studies have been able to directly assess potential associations between metabolic syndrome and the incidence of coronary heart disease (CHD) in HIV-infected patients [8]. In developing countries like Ethiopia no or very few research is done to assess ARV treatment with HIV-associated lipodystrophy and metabolic syndrome. Therefore this study was conducted to estimate the prevalence of lipodystrophy and metabolic syndrome among HIV-infected patients taking HAART. The findings generated from this study may make contributions to both knowledge and understandings of the magnitude of HIV-associated lipodystrophy and metabolic syndrome in those taking HAART in the area.

Methods

Study area and period

Jimma University specialized Hospital (JUSH) is the only hospital in Jimma zone serving the majority of people living in Jimma town and its surrounding. JUSH provides both inpatient and outpatient services and as one of the inpatient services. JUSH ART service was started 2003 with fee and on September 2005 free ART service was started. The total number who ever enrolled in ART service were 6500 (pre ART and ART) and who ever started HAART were 3003 of these who were active during the study period 1876 (all adults and children) of these 1684 were adults. The study was conducted from September 15, 2010 to December 10, 2010.

Study population and design

This is a cross-sectional study facility based study which employed quantitative methods. The source population for the study was all adult HIV patients who were on HAART during the study period in JUSH ART clinic and age greater than 18yrs (1684). The study population all clients sampled from the source population who fulfilled eligibility criteria were included in the study. The inclusion criteria were age ≥18 years and those who were adhering to and taking HAART for at least 6 weeks before the study period. Six weeks was taken as a criterion because the earliest time to develop HIV associated lipodystrophy or metabolic syndrome was seen since 6 weeks of initiation of ART [2]. The exclusion criteria were withdrawal from combination ART since the objective of the study was to assess the prevalence HIV lipodystrophy and metabolic syndrome in those who were on ART taking with good adherent during the study period, patients with hypothyroidism, Diabetes mellitus, chronic Renal Failure and those using corticosteroids.

Sample size and sampling technique

The samples size was estimated a single population proportion formula with finite population correction was used. The following parameters were considered 50% prevalence, 95% confidence interval, 5% margin of error. The size of the source population obtained from the ART clinic was 1694. With the above assumptions, the calculated sample size was 313.

Sampling technique

As duration of ART intake was known to affect the prevalence of HIV lipodystrophy, clinical lipodystrophy and metabolic syndrome a stratified sampling was used. The source population was stratified into two as those who took HAART for less than 6 months and those who took more than 6 months. The reasons for taking 6 months for stratification are the fact that CD4 count which affects the dependent variables was measured every 6 months and also other literatures this cut-off was used and hence valid comparisons can be made. Then sample was allocated to the strata proportional to their size. So the sample size was made 278 from clients on ART follow up for more than 6 month and 35 clients from those on ART follow up for less than 6 month. All patients fulfilling the eligibility criteria who come to the ART clinic was sequentially included in the study till the sample size allotted to each stratum was reached. The sampling technique employed was sequential method.

Measurement

The dependent variable are presence of clinical lipodystrophy (fat accumulation, fat wasting), presence of metabolic syndrome, presence of dyslipidemia. The independent variables are age, sex, CD4 count, WHO staging, type of HAART regimen, and duration on HAART.

For this study hypertension was defined by - systolic BP of ≥140 mmhg and/or diastolic pressure of ≥ 90 mmgh or being on anti- hypertensive medication [9]. Major Risk Factors for coronary heart disease (CHD) in this study include cigarette smoking, hypertension, low plasma HDL-c level, and family history of premature (CHD), age and diabetes mellitus. Cigarette smoking designation “smoker” means any cigarette smoking in the past month. Low plasma HDL-c was defined as HDL-c level <40 mg/dl. Family history of CHD refers to male first degree relative <65 Years with CHD.

Adult Treatment Panel III criteria [9] were used in this study, and MetSynd was diagnosed when 3 or more of the following were present: abdominal obesity (waist circumference men, >102 cm; women, >88 cm), hypertriglyceridemia of 150 mg/dL or higher, low high-density lipoprotein (HDL) cholesterol (men, <40 mg/dL; women, <50 mg/dL), blood pressure (BP) of 130/85 mm Hg or higher or current use of antihypertensive medication, and fasting glucose of 100 mg/dL or higher, or previously diagnosed diabetes mellitus.

Dyslipidemia defined as presence of one or more of the following; Hypercholesterolemia, serum TC levels ≥240 mg/dl, Low HDL-c, serum HDL-c levels <40 mg/dl, High TC: HDL-c ratio, serum TC: HDL-c ratio ≥4.5, High LDL-c, serum LDL-c levels ≥160mg/dl and Hypertriglyceridemia serum fasting TG levels ≥200 mg/dl [10].

Clinical Lipodystrophy defined as peripheral lipoatrophy with or without central obesity. Central obesity is excess fat deposition in the abdominal viscera or supraclavicular fossae or in the posterior neck. Fat wasting consists of subcutaneous fat atrophy in the legs, buttocks, arms, face [11]. Body Mass Idex is weight in kilograms divided by height in meters squared. Values 18.5–24.9 are normal, <18.5 underweight, 25–29.9 are overweight, ≥30 are obese [12]. Plasma glucose level was measured according to the following classification: normal- fasting plasma glucose [13]. HIV Lipodystrophy was measured according to measurements from previous studies [14, 15].

Clinical Lipodystrophy defined as peripheral lipoatrophy with or without central obesity. Central obesity is excess fat deposition in the abdominal viscera or supraclavicular fossae or in the posterior neck. Fat wasting consists of subcutaneous fat atrophy in the legs, buttocks, arms, face [11]. Body Mass Idex is weight in kilograms divided by height in meters squared. Values 18.5–24.9 are normal, <18.5 underweight, 25–29.9 are overweight, ≥30 are obese [12]. Plasma glucose level was measured according to the following classification: normal- fasting plasma glucose [13]. HIV Lipodystrophy was measured according to measurements from previous studies [14, 15].

Data collection instruments

Data was collected by using structured questionnaire and checklists. The questionnaire was prepared in English and translated to local languages (Afan Oromo and Amharic) and then back translated to check consistency. The questionnaire was developed by the investigators based on the study objectives and was pre-tested on 5% of the sample. The questionnaire contains questions about socio demographic and clinical variables. The checklists were used for chart review and observation. Chart review checklist was used to collect data concerning WHO staging, and immunologic variable including CD4 count. Observational checklist was used for recording laboratory measure about lipid profile and fasting blood sugar.

Data collection process

Interview and physical examination was conducted by internal medicine residents using interview for demographic and clinical characteristics like obesity and wasting and the physician performed physical examination to confirm patient report of wasting and obesity because this was the preferred method for describing wasting and obesity as there was no standard criteria used to assess HIV-lipodystrophy [11]. Review of patients charts obtained from the ART clinic was carried out by HIV/AIDS nurse specialist (HANS). The review was done to record WHO staging and CD4 count.

Blood sample was collected from the participants on the next morning after fasting for 12 hours to determine fasting serum glucose and lipid profile. Five milliliter of blood was drawn from each patient from cubital vein for each subject. Laboratory examination was done by a professional who has masters in laboratory methods and has relevant experience.

Data analysis and interpretation

Data was cleaned, coded and inserted in computer using SPSS 16.0 for analysis. Descriptive statistics using frequency distribution was performed for socio-demographic, epidemiological, clinical, and laboratory values. The prevalence of HIV-lipodystrophy and metabolic syndrome were determined based on the definition used in the study. Low-density lipoprotein (LDL) cholesterol was calculated by the Friedewald method, except in patients with TG levels higher than 400 mg/dL (LDL=CHOL - ({TG/5} + HDL). The association between the independent and dependent variables were assessed using chi-square test and logistic regression model. Multivariate analysis using logistic regression was performed to control effect of confounding variables.

Data quality assurance

The following measures were undertaken to assure quality of data: Before data collection the internal medicine residents were trained by the principal investigator for 1 day on the objectives of the study, interviewing and physical examination using practical scenario. HANS nurse was trained for 1 day on chart review contents. For laboratory examination, a qualified professional who has masters in laboratory and relevant experience were recruited. The laboratory personnel were also given orientation by one of the investigators who have the qualification and experience on related laboratory measurements. Serum glucose and serum lipid was analyzed using clinical chemistry analyzer Humastar 80 made in GERMANY in 2009 and approved by Ethiopia Health and Nutrition Research Institute (EHNRI). The data collection instruments were pre-tested in JUSH ART clinic on 5% of the sample and necessary modifications were made based on results of the pre-test. The pre-tested cases were not included in the final report. The questionnaire was translated to local languages and back translated by different individuals to assure consistency. The laboratory reagents were assured by the University Laboratory School. Laboratory machine used for the study was approved by the Science and Technology currently using for the teaching research purpose by the University.

Ethical considerations

The study was undertaken after ethical approval from Jimma University Ethics Review Committee. Letter was given to the Jimma University Specialized Hospital and after permission secured from the hospital data collection was started. Written, informed consent was obtained for all participating subjects in the local language prior to interview during the whole study period. Data obtained during the study was treated as confidential and the records were kept in a locked cabinet. The participant had the given full right to refuse participating in the study. Patients with newly diagnosed with metabolic syndrome and HIV-lypodystrophy was counseled on the ongoing risks to cardiovascular complications and was referred to cardiac clinic for treatment and follow-up.

Results

Patient characteristics

In this study the response rate was 100%. Of the total of 313 included in the study the majority (65.2%) are females. Concerning the age category most are in age category between 30–39years (40.9%) followed by the age groups 18–29years (33.9%) and above 40years (25.2%). With regarded to ethnicity majority of the study population are Oromo (43.1%). The predominant Religion in the study was orthodox that comprised 51.4%, followed by muslin and protestant, (30%), (16.9%) respectively. With regard to marital status the majority were married (54.3%). Concerning the literacy status of the study population the majority were 1–6 graders (31.3%) followed by 10–12 graders (25.9%) and 7–9 graders (16.6%). Regarding the occupation status of the study population majority were daily laborer (24.6%) and Government employee (23.3%). Concerning the monthly income in Ethiopian Birr; majority were getting less than 250 Birr (43%). Hypertension was found in (16.0%) (Table 1).

Table 1.

Baseline characteristic of patients on HAART, Jimma University Specialized Hospital 2010; Jimma

Variable Number Percent
Sex Female 204 65.2
Male 109 34.8
Age in years 18-29 106 33.9
30-39 128 40.9
>40 79 25.2
Ethnicity Oromo 135 43.1
Amhara 93 29.7
Kefa 35 11.2
Gurage 18 5.8
Others§ 32 10.2
Religion Orthodox 161 51.4
Muslim 94 30
Protestant 53 16.9
Others£ 5 1.6
Marital status Single 56 17.9
Married 170 54.3
Divorced 31 9.9
Widowed 38 12.1
No response 18 5.8
Education Illiterate 48 15.3
1-6 grade 98 31.3
7-9 grade 52 16.6
10-12 grade 81 25.9
12+ grade 34 10.9
Occupation Unemployed 60 19.2
Employed 253 80.8
Monthly income <250 116 43
251-500 86 31.9
501-1000 18 6.7
>1000 50 18.5
Hypertension ≥ 140 and /or ≥ 90 50 16
§

Tigre, Wolaita and Yem

£

Catholic and traditional

Prevalence and factors associated with HIV lipodystrophy

The factors that were used to assess presence of HIV lipodystophy were listed in Table 2. Based on the criteria used in the study HIV-lipodystrophy was found in 38(12.1%) patients (30 females, 8 males).

Table 2.

Prevalence of criteria used for HIV lipodystrophy of HIV patients on HAART, Jimma University Specialized Hospital 2010; Jimma

Variable Number Percent
Fat wasting 52 16.6
Central obesity 43 13.7
Total cholesterol ≥ 214mg/dl 43 13.7
Triglyciredemia ≥ 174mg/dl 83 26.5
Fasting glucose ≥ 100mg/dl 78 24.9

As indicated in Table 3 the only factors independently associated with HIV LD was only taking HAART for more than a year (AOR=3.59; 95% CI=1.03–12.54) (Table 3).

Table 3.

HIV Lipodystrophy and associated factors of HIV patient on HAART Jimma University Specialized Hospital 2010; Jimma

Variable Presence of HIV- lipodystrophy COR (95% CI) AOR (95% CI)
Yes No
Sex
Male 8 (7.3%) 101 (92.7%) 2.18 (0.96-4.93) 2.32 (0.98-5.49)
Female 30 (14.7%) 174 (85.3%) 1.0 1.0
Age in years
18-29 14 (13.2%) 92 (86.8%) 1.0 1.0
30-39 15 (11.7%) 113 (88.3%) 1.18 (0.48-2.9) 0.94 (0.42-2.09)
≥40 9 (11.4%) 70 (88.6%) 1.03 (0.42-2.28) 1.13 (0.44-2.94)
Duration HAART
<12month 3 (3.8%) 75 (96.2%) 1.0 1.0
>12month 35 (14.9%) 200 (85.1%) 4.37 (1.30-14.70) 3.59 (1.03-12.54)
WHO staging
<3WHO stage 13 (9.6%) 123 (90.4%) 1.56 (0.8-3.17) 1.40 (0.67-2.91)
≥3WHO stage 25 (14.1%) 152 (85.9) 1.0 1.0
Initial CD4
<200 28 (13.0%) 188 (870%) 0.65 (0.28-1.49)
≥200 8 (8.90%) 82 (91.1%) 1.0 -
Regimen
D4T Exposed 31 (14.6%) 182 (85.4%) 0.44 (0.19-1.04) 0.61 (0.25-1.49)
Non D4T Exposed 7 (7%) 93 (93%) 1.0 1.0

Prevalence and factors associated with metabolic syndrome

Hypertriglyceridemia were detected in 39%, hypertension in 35.1%, impaired fasting plasma glucose in 24.9%, low HDL cholesterol in male 40(36.7%), low HDL cholesterol in female 109(53.4%) and abdominal obesity was observed only in females 19(9.3%) but there was no male seen with abdominal obesity in the study (Table 4). As can be seen from Table 5 based on the criteria used in the study metabolic syndrome was found in 66(21.1%). The factors found to have independent statistically significant association with metabolic syndrome were taking HAART for more than a year (AOR=4.2; 95% CI=1.24–14.23) and female sex (AOR=2.30; 95% CI=1.0–5.27.)

Table 4.

Criteria used for metabolic syndrome of HIV patients on HAART, Jimma University Specialized Hospital 2010; Jimma

Variable Number Percent
Fasting triglycerides ≥150mg/dl 122 39
Impaired fasting glucose ≥ 100mg/dl 78 24.9
Hypertension ≥130 and/or ≥ 85 or history of hypertension 110 35.1
HDL
Female <50mg/dl 109 53.4
Male <40mg/dl 40 36.7
Abdominal circumference
Female >88cm 19 9.3
Male >102cm

Table 5.

Metabolic Syndrome of HIV patient on HAART, Jimma University Specialized Hospital 2010; Jimma

Variables Presence of Metabolic Syndrome COR (95% CI) AOR (95% CI)
YES NO
Sex
Male 19 (17.4%) 90 (82.6%) 1.41 (0.78-2.56) 2.30 (1.0-5.27)
Female 47 (23.0%) 157 (77.0%) 1.0 1.0
Age in years
18-29 16 (15.1%) 90 (84.9%) 1.0
30-39 25 (19.5%) 103 (80.5%) 0.38 (0.88-0.78) -
≥40 25 (31.6%) 54 (68.4%) 0.52 (0.27-0.99)
Duration ART (months)
<12 10 (12.8%) 68 (87.2%) 1.0 1.0
≥12 56 (23.8%) 179 (76.2%) 2.12 (1.02-4.40) 4.20 (1.24-14.23)
WHO staging
Stage I & II 32 (23.5%) 104 (76.5%) 0.77 (0.44-1.33) 1.40 (0.67-2.92)
Stage III & IV 34 (19.2%) 143 (80.8%) 1.0 1.0
Initial CD4
<200 48 (22.2%) 168 (77.8%) 0.70 (0.36-1.32)
≥200 15 (16.7%) 75 (83.3%) 1.0 -
Regimen
D4T EXPOSED 48 (22.5%) 165 (77.5%) 0.75 (0.41-1.37)
NON D4T EXPOSED 18 (18.0%) 82 (82.0%) 1.0

Dyslipidemia

Prevalence of dyslipidemia from 313 of the study population of any type with one type or more was seen in 48.2% (Table 6). Concerning the causes of dyslipidemia the most common types of dyslipidemia was low HDL-c level (32.6%), followed by high ratio of total cholesterol to high density lipoprotein cholesterol (≥4.5) in (25.6%), elevated triglycerides cholesterol level in (18.2%), high LDL-c level in (6.9%), high total cholesterol level in (6.7%) (Table 6).

Table 6.

Lipid profile of HIV patients on HAART, Jimma University Specialized Hospital 2010; Jimma

Variables Values Number Percent
Total cholesterol(mg/dl) <240 292 93.3
≥240 21 6.7
Triglycerides(mg/dl) <200 256 81.8
≥200 57 18.2
LDL(mg/dl) <160 283 93.1
≥160 21 6.9
HDL(mg/dl) <40 102 32.6
≥40 211 67.4
Ratio TC:HDL* <4.5 233 74.4
≥4.5 80 25.6
Total with dyslipidemia 151 48.2
*

Ratio of total cholesterol to high density lipoprotein LDL level was not measured for nine patients due to their triglycerides was >400mg/dl

Discussion

This study identified many important findings and factors associated with metabolic disorders among PLHIV taking HAART. The prevalence of HIV-lipodystrophy was found to be 12.1% and duration of HAART for more than a year was found to be significantly associated factor. The prevalence of Metabolic Syndrome was found to be 21.1% and duration of HAART for greater than a year and female sex were associated with Metabolic Syndrome. The prevalence of dyslipidemia in our study was found to be 48.2%. The implications of the results are discussed based on previous findings.

In our study fat wasting was seen in 16.6% and central obesity in 13.7% of the study population. This is similar with reports for fat redistribution which ranging from 14% to 32% in HIV-positive population on HAART [16]. A study done in Spain in 156 patients on HAART clinical lipodystrophy was present in 63.4% of cases, of which 26.3% with central obesity [17]. This was higher than the prevalence seen in our study this could be due to the inclusion criteria they used: they included those patients on HAART for six months however in our study we included all patients taking HAART since six weeks.

Prevalence of HIV-lipodystrophy in the study is 12.1%. In our study the only significantly and independently association with HIV lipodystrophy was taking HAART for more than a year, previous studies have identified other factors [18]. Prevalence of hypertension in our study was found 16.0%. A study done in patient on HAART in Kenya documented a prevalence of 13.4% [19].

In our study the prevalence of MS was 21.1%, this finding is higher than the prevalence of MS reported in Spain 15.8% [17], comparable with 20.8% Italian study [20] and lower than another Italian study [21] which reported 25.4%. The latter Italian study was conducted in those patients on HAART for more than 6 months; however in our study we included all patients on HAART. In our study factors found to have independently associated with MS were taking HAART for more than a year and female sex. A recently published large epidemiological study has found several factors related to an increased risk for MS in HIV-infected patients [17]. The effect of treatment duration is also documented elsewhere [22].

Prevalence of dyslipidemia in our study is 48.2% the most common types being low HDL-c level in 32.6%. In our study total cholesterol, triglycerides, HDL level were lower than the study done in Tehran [23]. The reason for the lower level in our study could be no patient was taking PI during our study.

The level of low density lipoprotein for nine people was not determined because the value of triglyceride level was more than 400mg/dl, because the formula we used in the study for calculating LDL based on Total cholesterol, triglyceride and HDL level is validated for those serum triglyceride level of less than 400 mg/dl and recommends exclusion of patients having higher level. In light of these limitations we conclude that fat redistribution, HIV associated lipodystrophy, metabolic syndrome, dyslipidemia are common in those HIV-infected patients receiving HAART in JUSH. It is proven that CVD risk will be high especially in patients with metabolic syndrome this may put the patient at high risk of CVS.

Conclusion

Metabolic syndrome was detected in 21.1% and HIV-lipodystrophy was detected 12.1% of patients. Metabolic abnormalities were relatively common in the study population. The problems were higher among those who took anti-retroviral treatment for longer duration. This puts them at high risk of cardiovascular morbidity and mortality. Therefore, patients with HIV infection on HAART should be screened for lipid disorders, given their incidence, potential for morbidity, and possible long-term cardiovascular risk. Initial screening for fasting blood glucose and lipid profile blood before instituting therapy and should include measurement of fasting TC, HDL-C, and TG levels. Encourage regular exercise, provision of lipid lowering agents for those with metabolic syndrome and dyslipidemia. Further wide scale study is recommended to evaluate the long term impact of HAART on cardiovascular risks and associated outcomes.

Acknowledgments

This study was financially supported by Jimma University. We would like to extend our heartfelt gratitude the research participants and data collectors.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

Conceived and designed the study TB, AY, FA analyzed the data TB, AY, FA, TY, LH, MK, KD drafted the initial manuscript TB, AY, FA, TY, LH, MK, KD. All authors read and approved the final manuscript.

References

  • 1.Grover SA, Coupal L, Gilmore N, Mukherjee J. Impact of dyslipidemia associated with highly active antiretroviral therapy on cardiovascular risk and life expectancy. Am J Cardiol. 2005 Mar 1;95(5):586–91. doi: 10.1016/j.amjcard.2004.11.004. [DOI] [PubMed] [Google Scholar]
  • 2.Kasper LD, Braunwald ES, Fauci SA, Hauser SL, Longo DL, Jameson LJ. New York: McGraw-Hill Medical Publishing Division; 2008. Harrison's Principles of Internal Medicine- 17 th edition. [Google Scholar]
  • 3.Guardiola M, Ferré R, Salazar J, Alonso-Villaverde C, Coll B, Parra S, Masana L, Ribalta J. Protease Inhibitor-Associated Dyslipidemia in HIV-Infected Patients Is Strongly Influenced by the APOA5-1131T3C Gene Variation. Clin Chem. 2006 Oct;52(10):1914–9. doi: 10.1373/clinchem.2006.069583. [DOI] [PubMed] [Google Scholar]
  • 4.Clotet B, Negredo E. HIV Protease Inhibitors and Dyslipidemia. AIDS Rev. 2003;5:19–24. [PubMed] [Google Scholar]
  • 5.Wu PY, Hung CC, Liu WC, Hsieh CY, Sun HY, Lu CL, Wu H, Chien KL. Metabolic syndrome among HIV-infected Taiwanese patients in the era of highly active antiretroviral therapy: prevalence and associated factors. J Antimicrob Chemother. 2012;67(4):1001–1009. doi: 10.1093/jac/dkr558. [DOI] [PubMed] [Google Scholar]
  • 6.Domingo P, Sambeat MA, Pérez A, Ordoñez J, Rodriguez J, Vázquez G. Fat distribution and metabolic abnormalities in HIV-infected patients on first combination antiretroviral therapy including stavudine or zidovudine: role of physical activity as a protective factor. Antivir Ther. 2003;8(3):223–231. doi: 10.1177/135965350300800306. [DOI] [PubMed] [Google Scholar]
  • 7.Calza L, Manfredi R, Chiodo F. Dyslipidaemia associated with antiretroviral therapy in HIV-infected patients. J Antimicrob Chemother. 2004;53(1):10–14. doi: 10.1093/jac/dkh013. [DOI] [PubMed] [Google Scholar]
  • 8.Barbaro G, Iacobellis G. Metabolic syndrome associated with HIV and highly active antiretroviral therapy. Curr Diab Rep. 2009;9(1):37–42. doi: 10.1007/s11892-009-0008-7. [DOI] [PubMed] [Google Scholar]
  • 9.Grundy SM, Brewer HB, Jr, Cleeman JI, Smith SC, Jr, Lenfant C. American Heart Association; National Heart, Lung, and Blood Institute. Definition of metabolic syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association conference on scientific issues related to definition. Circulation. 2004;109:433–438. doi: 10.1161/01.CIR.0000111245.75752.C6. [DOI] [PubMed] [Google Scholar]
  • 10.National Institutes of Health. http://www.nhlbi.nih.gov/guidelines/cholesterol/atp3full.pdf. Accessed September 2011.
  • 11.Milinkovic A. HIV-Associated Lipodystrophy Syndrome. Coll Antropol. 2006 Dec;30(Suppl 2):59–62. [PubMed] [Google Scholar]
  • 12.Gardner D, Shoback D. New York: McGraw-Hill; 2007. Greenspan's Basic; Clinical Endocrinology-8th edition. [Google Scholar]
  • 13.American Diabetes Association. Standards of Medical Care in Diabetes. Diabetes Care. 2008;31(Suppl 1):S12–54. doi: 10.2337/dc08-S012. [DOI] [PubMed] [Google Scholar]
  • 14.Carr A, Samaras K, Thorisdottir A, Kaufmann GR, Chisholm DJ, Cooper DA. Diagnosis, prediction, and natural course of HIV-1 protease-inhibitor-associated lipodystrophy, hyperlipidaemia, and diabetes mellitus: A cohort study. Lancet. 1999 Jun 19;353(9170):2093–9. doi: 10.1016/S0140-6736(98)08468-2. [DOI] [PubMed] [Google Scholar]
  • 15.Kravcik S. HIV lipodystrophy: a review. HIV Clin Trials. 2000;1(3):37–50. doi: 10.1310/3hhb-59up-93mm-aaxy. [DOI] [PubMed] [Google Scholar]
  • 16.Balasubramanyam A, Sekhar RV. HIV-associated lipodystrophy syndrome: an accelerated form of the metabolic syndrome of insulin resistance due to altered fat distribution. Res Initiat Treat Action. 2006;12(1):5–11. [PubMed] [Google Scholar]
  • 17.Estrada V, Martínez-Larrad MT, González-Sánchez JL, de Villar NG, Zabena C, Fernández C, Serrano-Ríos M. Lipodystrophy and metabolic syndrome in HIV-infected patients treated with antiretroviral Therapy. Metabolism. 2006;55(7):940–945. doi: 10.1016/j.metabol.2006.02.024. [DOI] [PubMed] [Google Scholar]
  • 18.Macallan DC. Metabolic syndromes in human immunodeficiency virus infection. Horm Res. 2001;55(Suppl 1):36–41. doi: 10.1159/000063461. [DOI] [PubMed] [Google Scholar]
  • 19.Manuthu EM, Joshi MD, Lule GN, Karari E. Prevalence of Dyslipidemia and Dysgycaemia in HIV Infected Patients. East Afr Med J. 2008;85(1):10–7. doi: 10.4314/eamj.v85i1.9600. [DOI] [PubMed] [Google Scholar]
  • 20.Bonfanti P, Giannattasio C, Ricci E, Facchetti R, Rosella E, Franzetti M, Cordier L, Pusterla L, Bombelli M, Sega R, Quirino T, Mancia G. HIV and metabolic syndrome: a comparison with the general population. J Acquir Immune Defic Syndr. 2007;45(4):426–31. doi: 10.1097/QAI.0b013e318074ef83. [DOI] [PubMed] [Google Scholar]
  • 21.Squillace N, Orlando G, Roverato A, Stentarelli C, Zona S, Nardini G, Beghetto B, Esposito R, Guaraldi G. Metabolic syndrome in HIV- associated lipodystrophy. HAART and correlated pathologies. 2008;1:35–38. [Google Scholar]
  • 22.Kalyanasundaram AP, Mini SJacob, Hemalatha R, Rajappa MS. Prevalence of Lipodystrophy and Dyslipidemia among Patients with HIV Infection on Generic ART in Rural South India. JIAPAC. 2012;11(5):329–334. doi: 10.1177/1545109711401750. [DOI] [PubMed] [Google Scholar]
  • 23.Ramezani A, Mohraz M, Yadegarinia D, Banifazl M, Gachkar L, Jam S, Aghakhani A, Eslamifar A, Yaghmaie F, Nemati K, Akbar AV. Prevalence of Dyslipidemia and Metabolic Abnormalities in HIV-Infected Patients. Acta Medica Iranica. 2009;47(2):83–88. [Google Scholar]

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