Acessibilidade / Reportar erro

Metabolic syndrome in people living with HIV: criteria prevalence and agreement

Abstract

Objective

To identify the prevalence of metabolic syndrome and the agreement between the criteria of the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) and the International Diabetes Federation (IDF) in people living with HIV.

Methods

This is a cross-sectional analytical study, carried out in five specialized services in a city in the interior of São Paulo, from 2014 to 2016, with 340 people living with HIV. Sociodemographic and clinical variables necessary for classification of the metabolic syndrome by the NCEP-ATPIII and IDF criteria were collected through interviews. To assess the agreement between MS, NCEP-ATPIII and IDF criteria, the first-order agreement coefficient statistic was used. To verify the relationship between the metabolic syndrome and the study variables, Poisson regression with robust variance was used.

Results

The prevalence of metabolic syndrome was 28.5% by the NCEP-ATPIII criterion and 39.3% IDF. The highest prevalence was associated with females and age groups from 50 years old, while, in the time of diagnosis between 2 and 10 years, lower prevalence. The agreement between the two criteria was considered substantial.

Conclusion

The substantial agreement between the IDF and NCEP-ATPIII criteria suggests the possibility of interchange between them. Moreover, the results signal the need for special attention from services for the assessment of the metabolic profile and identification of people living with HIV who are at high cardiovascular risk.

Metabolic syndrome; HIV; Acquired Immunodeficiency Syndrome; Prevalence

Resumo

Objetivo

Identificar a prevalência da síndrome metabólica e a concordância entre os critérios do National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) e da International Diabetes Federation (IDF) em pessoas vivendo com HIV.

Métodos

Estudo analítico transversal, realizado em cinco serviços especializados em município do interior paulista, de 2014 a 2016, com 340 pessoas vivendo com HIV. Variáveis sociodemográficas e clínicas necessárias para classificação da síndrome metabólica pelos critérios do NCEP-ATPIII e da IDF foram coletadas por meio de entrevistas. Para avaliar a concordância entre os critérios da SM, NCEP-ATPIII e IDF, foi utilizada a estatística first-order agreement coefficient. Para verificar a relação entre a síndrome metabólica e as variáveis do estudo, utilizou-se a regressão de Poisson com variância robusta.

Resultados

A prevalência da síndrome metabólica foi de 28,5% pelo critério NCEP-ATPIII e 39,3% IDF. As maiores prevalências foram associadas ao sexo feminino e faixas etárias a partir dos 50 anos, enquanto que, no tempo de diagnóstico entre 2 a 10 anos, prevalências menores. A concordância entre os dois critérios foi considerada substancial.

Conclusão

A concordância substancial entre os critérios IDF e NCEP-ATPIII sugere a possibilidade de intercambio entre eles. Ademais, os resultados sinalizam para a necessidade de atenção especial dos serviços para a avaliação do perfil metabólico e identificação das pessoas vivendo com HIV que possuem alto risco cardiovascular.

Síndrome metabólica; HIV; Síndrome de imunodeficiência adquirida; Prevalência

Resumen

Objetivo

Identificar la prevalencia del síndrome metabólico y la concordancia entre los criterios del National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) y de la International Diabetes Federation (IDF) en personas que viven con el VIH.

Métodos

Estudio analítico transversal, realizado en cinco servicios especializados en un municipio del interior del estado de São Paulo, de 2014 a 2016, con 340 personas que viven con el VIH. Por medio de entrevistas se recopilaron las variables sociodemográficas y clínicas necesarias para la clasificación del síndrome metabólico mediante los criterios del NCEP-ATPIII y de la IDF. Para evaluar la concordancia entre los criterios del SM, NCEP-ATPIII e IDF, se utilizó la estadística first-order agreement coefficient. Para verificar la relación entre el síndrome metabólico y las variables del estudio, se utilizó la regresión de Poisson con varianza robusta.

Resultados

La prevalencia del síndrome metabólico fue del 28,5 % mediante el criterio NCEP-ATPIII y 39,3 % por la IDF. Las mayores prevalencias se asociaron al sexo femenino y los grupos de edad a partir de los 50 años, mientras que hubo prevalencias menores en el tiempo de diagnóstico entre 2 y 10 años. La concordancia entre los dos criterios fue considerada sustancial.

Conclusión

La concordancia sustancial entre los criterios IDF y NCEP-ATPIII sugiere la posibilidad de intercambio entre ellos. Además, los resultados señalan la necesidad de una atención especial de los servicios para evaluar el perfil metabólico e identificar a las personas que viven con el VIH con alto riesgo cardiovascular.

Síndrome metabólico; HIV; Síndrome de imunodeficiência adquirida; Prevalencia

Introduction

Advances in combination antiretroviral therapy (ART) and its universal access have had a major impact on people living with HIV (PLHIV). Patients with limited prospects began to experience a new phase of treatment. Adherence to medication has been the main contributor to the decline in AIDS-related deaths, increased survival, improved quality of life, decreased transmission and suppression of viral activity, thus making it possible to live with HIV from the perspective of a chronic condition.(11. Grinsztejn B, Luz PM, Pacheco AG, Santos DV, Velasque L, Moreira RI, et al. Changing mortality profile among HIV-infected patients in Rio de Janeiro, Brazil: shifting from AIDS to non-AIDS related conditions in the HAART era. PLoS One. 2013;8(4):e59768.,22. Astolfo S, Kehrig RT, Oliveira LR. Availability of resources in Brazilian National Health System outpatient services for people living with HIV in Mato Grosso, Brazil, 2016. Epidemiol Serv Saude. 2018;27(3):e2017406.)

Worldwide, by 2018, it was estimated that about 37.9 million PLHIV and, among those diagnosed, about 62% are being treated with antiretrovirals (ARV). In Brazil, there are about 900,000 PLHIV and according to the Ministry of Health 66% of these have access to medication.(33. Join United Nations Programme on HIV/Aids (UNAIDS). UNAIDS DATA 2019. Geneva: UNAIDS; 2019.

4. Brasil. Ministério da Saúde. Relatório de Monitoramento Clínico do HIV. Brasília (DF): Ministério da Saúde; 2019 .
-55. Deeks SG, Lewin SR, Havlir DV. The end of AIDS: HIV infection as a chronic disease. Lancet. 2013;382(9903):1525–33.)

Despite the encouraging possibilities offered by the use of ART, patients may experience metabolic changes and specific toxicities linked to the use of this medication. These metabolic changes often meet the criteria for identifying the presence of metabolic syndrome (MS).(66. Guira O, Tiéno H, Diendéré AE, Sagna Y, Diallo I, Yaméogo B, et al. Features of Metabolic Syndrome and Its Associated Factors during Highly Active Antiretroviral Therapy in Ouagadougou (Burkina Faso). J Int Assoc Provid AIDS Care. 2016;15(2):159–63.) MS is on the rise worldwide and has been considered a complex entity due to the fact that it aggregates well-established cardiovascular risk factors, increasing overall mortality.(55. Deeks SG, Lewin SR, Havlir DV. The end of AIDS: HIV infection as a chronic disease. Lancet. 2013;382(9903):1525–33.) There is evidence that MS is more prevalent among people living with HIV than in the general population, which requires adequate assistance from the health team.(11. Grinsztejn B, Luz PM, Pacheco AG, Santos DV, Velasque L, Moreira RI, et al. Changing mortality profile among HIV-infected patients in Rio de Janeiro, Brazil: shifting from AIDS to non-AIDS related conditions in the HAART era. PLoS One. 2013;8(4):e59768.,66. Guira O, Tiéno H, Diendéré AE, Sagna Y, Diallo I, Yaméogo B, et al. Features of Metabolic Syndrome and Its Associated Factors during Highly Active Antiretroviral Therapy in Ouagadougou (Burkina Faso). J Int Assoc Provid AIDS Care. 2016;15(2):159–63.,77. Sobieszczyk ME, Werner L, Mlisana K, Naicker N, Feinstein A, Gray CM, et al. Síndrome metabólica após a aquisição do hiv em mulheres Sul-Africanas. J Acquir Immune Defic Syndr. 2016;73(4):438–45.)

Since the 1980s, when MS was recognized, initially called Syndrome X, several criteria have been used to define it. Currently, the most used criteria nationally and internationally among PLHIV are the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) and the International Diabetes Federation (IDF). These organizations, despite applying the criteria differently, agree that the basic components of MS are obesity, insulin resistance, dyslipidemia and hypertension.(88. Santilli F, D’Ardes D, Guagnano MT, Davi G. Metabolic syndrome: sex-related cardiovascular risk and therapeutic approach. Curr Med Chem. 2017;24(24):2602–27.,99. Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.) As there are different criteria for the diagnosis of MS, there are also varying estimates of its prevalence. In a meta-analysis that analyzed studies on the prevalence of MS in PLHIV, the results ranged from 17 to 31%.(99. Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.)

Despite the establishment of improved immunity, the prolonged use of this drug therapy may increase the risk of developing MS in PLHIV, identifying this problem provides support for the management of cardiovascular risk in this population. Given the above, the present study aims to identify the prevalence of MS and agreement between the NCEP-ATPIII and IDF criteria in PLHIV.

Methods

This is a cross-sectional analytical study, carried out in the five specialized care clinics for people living with HIV in the countryside of São Paulo from October 2014 to October 2016.

Participating in the PLHIV study were users of services that met the inclusion criteria: being 18 years of age or older; having been on ART for at least six months; being in clinical-outpatient follow-up at the chosen services. Individuals in confinement situations (institutionalized and living in support homes), pregnant women and with a previous history of cardiovascular disease were excluded.

To obtain the number of participants, a sample calculation was performed based on the number of individuals using ART in each reference service in the municipality studied in 2014, which totaled 1,920 patients. To calculate the sample size, the following formula was used:

n = Z α 2 ( P Q ) d 2

n is the sample size, Z is the reduced variable to α=5%, P=50% and an accuracy level d=5%. Correction was made for a finite population, which resulted in 43 in the outpatient clinic in the North, 119 in the Central, 50 in the East, 78 in the West and 50 in the South district, totaling a sample size of 340. The sample was non-probalistic and for convenience. Thus, participants were invited to participate as they appeared in the service.

Data were collected through individual interviews, with an average duration of 30 minutes, before or after medical and/or nursing consultations, in private rooms of the clinic itself. Data collection was performed by trained and certified staff. A semi-structured questionnaire designed for study was used. The questionnaire was submitted to face and content validation by four researchers, who assessed it for acceptance of the questioning, easy understanding, relevance of items, wording clarity, presence of ambiguities, in addition to suggestions for changes. There was only qualitative appreciation regarding the merits of researchers’ opinions, without prior publication to this study.

Sociodemographic variables and personal medical history were questioned to the patient. Abdominal circumference (WC) and blood pressure (BP) were measured after the interview, and data on ART time, therapeutic regimen and laboratory tests were collected from the medical record. Of the exams, those with the closest date of entry for patients in the study were recorded and exams performed within a year were discarded.

Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were assessed using auscultatory technique, recorded on the arm, with an aneroid sphygmomanometer, calibrated manometer and cuff of the appropriate size. The assessment took place after five minutes at rest, in a sitting position, the trunk resting on the back of the chair, legs uncrossed and resting on the floor.(1010. Malachias MV, Gomes MA, Nobre F, Alessi A, Feitosa AD, Coelho EB. 7th brazilian guideline of arterial hypertension: chapter 2 - diagnosis and classification. Arq Bras Cardiol. 2016;107(3 Suppl 3):7–13.)

WC was measured with an inextensible tape measure, in an orthostatic position, with the sole of the foot resting on the floor, oriented so that the abdomen was relaxed, moving the clothes away from the measurement region for better measurement accuracy. The measurement was taken at the midpoint between the last rib and the iliac crest, at the end of the expiratory breathing movement.(1111. World Health Organization (WHO). Waist circumference and waist–hip ratio: report of a WHO expert consultation. Geneva: WHO; 2008.)

Biochemical measurements carried out in SAE regarding fasting venous glucose (FVG), High Density Lipoproteins Cholesterol (HDL-c) and triglycerides (TG) were performed by enzymatic method in automated equipment (Rxl Max®) in a central laboratory linked to the municipal secretariat with samples of venous serum under fasting guidance for 12 hours.

For the classification of MS, the NCEP-ATP III and IDF criteria were used. In the reviewed NCEP-ATP III, participants must have at least three of the five components: BP (≥ 130/85 mm/Hg or use of antihypertensive), WC (≥102 cm for men and ≥88 cm for women), TG (≥ 150mg/dl or use of hypolipidemic agents), FVG (≥ 100mg/dl or use of hypoglycemic agent), and/or HDL-c (<40 mg/dl for men and <50 mg/dl for women or use of hypolipidemic agents).(1212. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al.; American Heart Association; National Heart, Lung, and Blood Institute. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112(17):2735–52.)

The IDF criterion assumes the same values for BP, TG, FVG and HDL-c, it differs only in WC (women ≥80 cm and men ≥90 cm).(1212. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al.; American Heart Association; National Heart, Lung, and Blood Institute. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112(17):2735–52.) According to the IDF criterion, the presence of alterations in WC is mandatory, added to two other criteria, and ethnic parameters must be respected. Since there are no important studies that establish parameters in Central and South America, it is recommended to use the reference of South Asians, already described.(1313. International Diabetes Federation (IDF). The IDF consensus worldwide definition of the metabolic syndrome. Belgium: IDF; 2006.,1414. Associação Brasileira para o Estudo da Obesidade e da Síndrome Metabólica (ABESO). Diretrizes Brasileiras de Obesidade 2016. 4a ed. São Paulo: ABESO; 2016.)

Thus, the sociodemographic variables studied were sex (male, female), age group in years (20-29, 30-39, 40-49, 50-59, ≥60), education in years (≤8,> 8). The clinical variables studied were time of diagnosis in years (≤1, 2-4.5-10,> 10), time of ART use in years (≤1, 2-4.5-10,> 10), load viral in copies/ml (> 40, ≤40), SBP and DBP (mmHg), WC (cm), TG (mg/dl), FVG (mg/dl), HDL-c (mg/dl), Hypertension (HP) (yes, no), Diabetes Mellitus (DM) (yes, no), MS (yes, no), use of antihypertensive drugs (yes, no), use of hypolipidemic (yes, no), use of hypoglycemic agent (yes, no).

For data analysis, descriptive statistics (mean and standard deviation) were used for continuous variables. Student’s t-test for independent samples was used to compare components of SD (continuous variables) between men and women. To estimate the adjusted Prevalence Ratio, Poisson regression with robust variance was used. When assessing the measure of statistical significance, the Wald test was used. In these analyzes, the software Statistical Package for Social Science (SPSS), version 22.0 was used. To assess the agreement between MS, NCEP-ATPIII and IDF criteria, the AC1 (first-order agreement coefficient) statistics was used. The AC1 statistic has advantages over Kappa concordance index, the resistance with respect to marginal homogeneity and the prevalence trait, in addition to having the same interpretation as the Kappa statistic [poor/without agreement (<0.0), mild (0.0-0.2), reasonable (0.21-0.40), moderate (0.41-0.60), substantial (0.61-0.80), or almost perfect (0.81-1, 00)].(1515. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.)The software version R version 3.5.1 was used for the last analyzes mentioned. In all analyzes performed in the study, a 95% confidence interval and a significance level of 0.05 were adopted. The study was approved by a Research Ethics Committee. PLHIV who agreed to participate in the study signed an Informed Consent Form.

Results

Thus, 340 PLHIV taking ART on an outpatient basis participated in the study. Regarding interviewers’ characterization, it was found that 197 (57.9%) were male, with average age of 44.35 ± 11.7, ranging from 20 to 75 years. The highest concentration was in the 40-49 year age group, with 34.1% and had more than eight years of study (50.9%).

As for clinical variables, it was identified that 53.8% were diagnosed with HIV less than ten years ago. This same period - less than ten years - was predominant when the duration of antiretroviral treatment was assessed, 65% of respondents. Viral load was predominantly undetectable (<40 copies/ml), 80.9%. From the DM criteria used, a prevalence of 28.5% (NCEP-ATPIII) and 39.3% (IDF) was obtained).

The variables that maintained an association after Poisson regression with the highest prevalence for SD (Table 1) were, according to the IDF criterion, the age range of 50-59 (PR=2.46; CI: 1.17-5.21) and 60 and older (PR=3.04; CI: 1.43-6.47). Diagnosis time between 2-4 years (PR=0.33; CI: 0.12-0.88) and 5-10 years (PR=0.40; CI: 0.14-1.10) represented lower prevalence for the syndrome. In the NCEP-ATPIII criterion, female figured prominently (PR=1.89; CI: 1.32-2.70) (Table 1).

Table 1
Prevalence, prevalence ratio and confidence intervals between the metabolic syndrome in and the study variables, in people living with HIV (n=340)

Regarding the average of the components of MS assessed by sex (Table 2), values of fasting venous glucose (p=0.02) and HDL-c (p=0.001) were higher in women, while SBP was higher in men (p=0.01).

Table 2
Metabolic syndrome components in people living with HIV, according to sex (n=340)

According to the distribution of the prevalence of MS components, according to the NCEP-ATPIII criteria, the altered metabolic components that reached the highest percentages were HDL-c (56.1%) and TG (45.5%), followed by BP (40.0%), WC (32.9%), and FVG (15.5%). In the IDF criterion, WC reached 62.9% of changes in the assessed PLHIV, following the same percentages as NCEP-ATPIII in the other components. FVG represented the least prevalent metabolic alteration in both criteria.

Regarding the distribution of patients according to the number of components of MS, it was found that according to IDF, 86.7% of participants have at least one component that characterizes this metabolic disorder [no component (13.3%), one (17.6%), two (28.0%), three (22.6%), four (13.8%), five (4.7%)]. In NCEP-ATPIII, 83.2% has at least one criterion for MS [no component (16.8%), one (23.3%), two (31.5%), three (17.6%) %), four (7.0%), five (3.8%)].

Analysis of the agreement between the criteria for assessment of MS, IDF and NCEP-ATIII, obtained a WC coefficient=0.7493 (p <0.0001), considering the agreement as substantial (Table 3).

Table 3
Agreement between the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) and the International Diabetes Federation (IDF) criteria for metabolic syndrome in people living with HIV (n=340)

Discussion

The results of this study show a high prevalence of MS in PLHIV and an association with females and age groups from 50 years old. The lowest prevalence was associated with the time of diagnosis between 2 and 10 years. There was substantial agreement between the IDF and NCEP-ATPIII criteria.

The study enabled the identification of the prevalence and agreement of criteria for MS, contributing to the reflection on the need to assess the syndrome components during PLHIV treatment. In addition to considering MS as a clinical tool in the recognition of individuals most vulnerable to the occurrence of cardiovascular diseases. Furthermore, the study contributes to the development of scientific knowledge and to the debate on the needs of multidisciplinary care for this population as well as the role of nurses in cardiometabolic assessment from primary to tertiary care.

MS has received increasing attention both for the impact of each of its diagnostic components and for adding cardiovascular risk factors.(1616. Drelichowska J, Kwiatkowska W, Knysz B, Witkiewicz W. Metabolic syndrome in HIV-positive patients. HIV AIDS Rev. 2015;14(2):35–41.) In this context, several risk factors for the development of MS have been identified, but there is great heterogeneity in the results of the studies. This fact is associated with the variety of criteria used to assess MS and the sociodemographic, behavioral and clinical conditions of the investigated populations.

The high prevalence found in the present study among PLHIV using ART, corroborates the findings of a meta-analysis that investigated 65 publications on MS in PLHIV in the European, American, Asian, and African continents.(99. Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.) The study found that a third of the population worldwide living with HIV has MS.(99. Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.) In research carried out in the African continent, there was a prevalence between 7.8-50.3%, by the IDF criterion, and 7.2-61.6% by the NCEP-ATPIII criterion.(1717. Hirigo AT, Tesfaye DY. Influences of gender in metabolic syndrome and its components among people living with HIV virus using antiretroviral treatment in Hawassa, southern Ethiopia. BMC Res Notes. 2016;9(1):145.

18. Obirikorang C, Quaye L, Osei-Yeboah J, Odame EA, Asare I. Prevalence of metabolic syndrome among HIV-infected patients in Ghana: A cross-sectional study. Niger Med J. 2016;57(2):86–90.
-1919. Nguyen KA, Peer N, de Villiers A, Mukasa B, Matsha TE, Mills EJ, et al. Metabolic syndrome in people living with human immunodeficiency virus: an assessment of the prevalence and the agreement between diagnostic criteria. Int J Endocrinol. 2017;2017:1613657.) The substantial agreement between the IDF and NCEP-ATPIII criteria of our findings supports what has been shown in literature in studies with PLHIV and other groups.(99. Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.,1919. Nguyen KA, Peer N, de Villiers A, Mukasa B, Matsha TE, Mills EJ, et al. Metabolic syndrome in people living with human immunodeficiency virus: an assessment of the prevalence and the agreement between diagnostic criteria. Int J Endocrinol. 2017;2017:1613657.

20. Saad MA, Cardoso GP, Martins WA, Velarde LG, Cruz Filho RA. Prevalence of metabolic syndrome in elderly and agreement among four diagnostic criteria. Arq Bras Cardiol. 2014;102(3):263–9.
-2121. Adnan M, Rahat T, Hashmat N, Ali Z. Metabolic syndrome; agreement between diagnostic criteria among type 2 diabetes mellitus patients. Prof Med J. 2017;24(4):539–44.)The result of this agreement implies that these criteria can classify the same individual with MS, which can be justified by the use of four metabolic components with the same reference parameter. The divergence of the criteria is in WC, which has a different cutoff point, in IDF, is smaller compared to that of NCEP-ATPIII. Another difference is that WC is a mandatory element in IDF for the syndrome classification.

The components of MS usually vary in their rates of occurrence. In this study, about 80% of PLHIV have at least one altered component. Lipid alterations and WC are among the metabolic components that are most prevalent altered, considering the different criteria used.(99. Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.,2222. Mbugua SM, Kimani ST, Munyoki G. Metabolic syndrome and its components among university students in Kenya. BMC Public Health. 2017;17(1):909.) In international research, these components are among the first risk factors for the development of MS.(1717. Hirigo AT, Tesfaye DY. Influences of gender in metabolic syndrome and its components among people living with HIV virus using antiretroviral treatment in Hawassa, southern Ethiopia. BMC Res Notes. 2016;9(1):145.) The high number of components is also a worrying factor as it increases the risk of cardiovascular diseases.(55. Deeks SG, Lewin SR, Havlir DV. The end of AIDS: HIV infection as a chronic disease. Lancet. 2013;382(9903):1525–33.)It is interesting to highlight in our study that, despite the differences between men and women found in some metabolic components, the averages are within the normal parameters of the responsible Brazilian societies.(2323. Faludi AA, Izar MC, Kerr SJ, Marte CA, Bianco HT, Afiune NA, et al. Atualização da Diretriz Brasileira de Dislipidemias e Prevenção da Aterosclerose – 2017. Arq Bras Cardiol. 2017;109(2 Suppl1):1–76.,2424. Diretrizes da Sociedade Brasileira de Diabetes 2017-2018. São Paulo: Editora Clannad; 2017. [organizado por José Egídio Paulo de Oliveira, Renan Magalhães Montenegro Junior, Sérgio Vencio].)

In addition, there was an association between MS and women living with HIV, which can be attributed to the difference in the social role they take on, with the double work shift, which negatively influences quality of life and affects eating habits and in the practice of physical activity.(99. Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.,1717. Hirigo AT, Tesfaye DY. Influences of gender in metabolic syndrome and its components among people living with HIV virus using antiretroviral treatment in Hawassa, southern Ethiopia. BMC Res Notes. 2016;9(1):145.,2525. Galvão MT, Soares LL, Pedrosa SC, Fiuza ML, Lemos LA. Quality of life and adherence to antiretroviral medication in people with HIV. Acta Paul Enferm. 2015;28(1):48–53.,2626. Akl LD, Valadares AL, Moraes MJ, Pinto-Neto AM, Lagrutta B, Costa-Paiva L. Metabolic syndrome in HIV-infected middle-aged women on antiretroviral therapy: prevalence and associated factors. Braz J Infect Dis. 2017;21(3):263–9.) Furthermore, physiological factors such as the loss of the protective effect of female hormones with the onset of menopause are also important factors that reflect sex and age issues.(99. Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.,1717. Hirigo AT, Tesfaye DY. Influences of gender in metabolic syndrome and its components among people living with HIV virus using antiretroviral treatment in Hawassa, southern Ethiopia. BMC Res Notes. 2016;9(1):145.,2525. Galvão MT, Soares LL, Pedrosa SC, Fiuza ML, Lemos LA. Quality of life and adherence to antiretroviral medication in people with HIV. Acta Paul Enferm. 2015;28(1):48–53.,2626. Akl LD, Valadares AL, Moraes MJ, Pinto-Neto AM, Lagrutta B, Costa-Paiva L. Metabolic syndrome in HIV-infected middle-aged women on antiretroviral therapy: prevalence and associated factors. Braz J Infect Dis. 2017;21(3):263–9.) In this perspective, the prevalence of MS increases with age.(99. Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.,1717. Hirigo AT, Tesfaye DY. Influences of gender in metabolic syndrome and its components among people living with HIV virus using antiretroviral treatment in Hawassa, southern Ethiopia. BMC Res Notes. 2016;9(1):145.)Other studies carried out in the same region of Brazil show that women with HIV also have a higher abnormal redistribution of body fat (lipodystrophy) and a higher frequency of cases of abdominal obesity, when compared to men with HIV.(2727. Alves TC, Moraes C, Santos AP, Venturini ACR, Santana RC, Navarro AM, et al. Increased chance of metabolic syndrome in women living with HIV/AIDS and lipodystrophic syndrome. Medicina (Ribeirão Preto. 2016; 49(5):421-8.,2828. Beraldo RA, Santos AP, Guimarães MP, Vassimon HS, Paula FJ, Machado DR, et al. Body fat redistribution and changes in lipid and glucose metabolism in people living with HIV/AIDS. Rev Bras Epidemiol. 2017;20(3):526–36.) The same authors, although they consider the reasons for sexual difference in metabolic responses to be uncertain, reinforce the hormonal contribution, either by polymorphism in the estrogen receptor gene or by the body’s response to the release of growth hormone.(2727. Alves TC, Moraes C, Santos AP, Venturini ACR, Santana RC, Navarro AM, et al. Increased chance of metabolic syndrome in women living with HIV/AIDS and lipodystrophic syndrome. Medicina (Ribeirão Preto. 2016; 49(5):421-8.,2828. Beraldo RA, Santos AP, Guimarães MP, Vassimon HS, Paula FJ, Machado DR, et al. Body fat redistribution and changes in lipid and glucose metabolism in people living with HIV/AIDS. Rev Bras Epidemiol. 2017;20(3):526–36.)

However, the result of the prevalence of MS among those who had a diagnosis time of 2 to 10 years for HIV can be justified by the fact that this classification is among the minority of respondents and, most have more than 10 years of HIV diagnosis (45.5%).

Part of the associations observed between viral load and time of diagnosis, can be explained by mechanisms of immune dysfunction and chronic inflammation caused by HIV infection, older age and drug-related toxicity secondary to prolonged use, especially protease inhibitors.(99. Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.,2929. Ximenes RA, Lacerda HR, Miranda-Filho DB, Albuquerque MF, Montarroyos UR, Turchi MD, et al. Comparison between potential risk factors for cardiovascular disease in people living with HIV/AIDS in areas of Brazil. J Infect Dev Ctries. 2015;9(9):988–96.,3030. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde, Departamento de Vigilância, Prevenção e Controle das Infecções Sexualmente Transmissíveis, do HIV/Aids e das Hepatites Virais. Protocolo Clínico e Diretrizes Terapêuticas para Manejo da Infecção pelo HIV em adultos. Brasília (DF): Ministério da Saúde; 2018.) It is worth mentioning that HIV infection itself acts as a catalyst for lipid changes. The increase in inflammation caused by the presence of the virus, through the secretion of inflammatory cytokines, damages TCD4 + cells.(3131. Nix LM, Tien PC. Metabolic syndrome, diabetes, and cardiovascular risk in HIV. Curr HIV/AIDS Rep. 2014;11(3):271–8.,3232. Dada AO, Oshodi TT, Ajie IO, Onyenekwu CP. Prevalence of insulin resistance among patients attending the HIV clinic in a Nigerian tertiary hospital. Diabetes Metab Syndr. 2017;11 Suppl 2:S607–10.)

Given the above, in the context of PLHIV, metabolic changes can be attributed not only to the use of different diagnostic criteria, but to the time of exposure to ART, time of HIV infection, ethnic characteristics, family history (genetic contribution), environmental factors, in addition to eating habits and lifestyle before and after treatment.(99. Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.)

The information generated shows the most used criteria for the MS classification, the agreement between them, the sociodemographic and clinical factors that can be associated with the syndrome, in addition to the metabolic components that are frequently altered in PLHIV. Consequently, the data obtained in this study may support the establishment of care protocols with measures aimed at the identification, prevention, treatment and control of MS in this population. Thus, it is necessary to develop educational and therapeutic strategies and programs with a focus on promoting healthy habits. In addition to conducting longitudinal studies that investigate the behavior of metabolic changes in PLHIV and intervention studies that measure the effect of strategies on improving these changes.

It is noteworthy as a limitation that the study design did not allow to know how long ago the individuals had presented the criteria for MS and that it was due to drug treatment or before it. Moreover, the lack of information on cumulative exposure of patients to each ARV medication and the diversity of their clinical and therapeutic history stands out.

Recognizing the associated risk factors and assessment of the metabolic profile become necessary, since they enable the identification of those with high cardiovascular risk, playing an important role as a marker of metabolic disorders, in order to treat them more quickly, in addition to highlighting the importance of interventions in adopting a healthy lifestyle. In this context, nurses also have a fundamental role with the health team to develop educational strategies that favor health promotion.

Conclusion

Thus, based on the results presented, it was found that the prevalence of MS in PLHIV was high by both criteria, more especially by IDF. The highest prevalence of SD was associated with females, and age groups from 50 years old, while, at the time of diagnosis between 2 and 10 years, the prevalence was lower. There was substantial agreement between IDF and NCEP-ATPIII criteria, which implies that these criteria can classify the same individual with MS and thus, there is a possibility of interchange between them.

Acknowledgments

We would like to thank the Ministry of Science, Technology and Innovation – Brazilian National Council for Scientific and Technological Development (CNPq 455912/2014-9) - Universal Call - MCTI/CNPq nº 14/2014, for their support in carrying out this study.

Referências

  • 1
    Grinsztejn B, Luz PM, Pacheco AG, Santos DV, Velasque L, Moreira RI, et al. Changing mortality profile among HIV-infected patients in Rio de Janeiro, Brazil: shifting from AIDS to non-AIDS related conditions in the HAART era. PLoS One. 2013;8(4):e59768.
  • 2
    Astolfo S, Kehrig RT, Oliveira LR. Availability of resources in Brazilian National Health System outpatient services for people living with HIV in Mato Grosso, Brazil, 2016. Epidemiol Serv Saude. 2018;27(3):e2017406.
  • 3
    Join United Nations Programme on HIV/Aids (UNAIDS). UNAIDS DATA 2019. Geneva: UNAIDS; 2019.
  • 4
    Brasil. Ministério da Saúde. Relatório de Monitoramento Clínico do HIV. Brasília (DF): Ministério da Saúde; 2019 .
  • 5
    Deeks SG, Lewin SR, Havlir DV. The end of AIDS: HIV infection as a chronic disease. Lancet. 2013;382(9903):1525–33.
  • 6
    Guira O, Tiéno H, Diendéré AE, Sagna Y, Diallo I, Yaméogo B, et al. Features of Metabolic Syndrome and Its Associated Factors during Highly Active Antiretroviral Therapy in Ouagadougou (Burkina Faso). J Int Assoc Provid AIDS Care. 2016;15(2):159–63.
  • 7
    Sobieszczyk ME, Werner L, Mlisana K, Naicker N, Feinstein A, Gray CM, et al. Síndrome metabólica após a aquisição do hiv em mulheres Sul-Africanas. J Acquir Immune Defic Syndr. 2016;73(4):438–45.
  • 8
    Santilli F, D’Ardes D, Guagnano MT, Davi G. Metabolic syndrome: sex-related cardiovascular risk and therapeutic approach. Curr Med Chem. 2017;24(24):2602–27.
  • 9
    Nguyen KA, Peer N, Mills EJ, Kengne AP. A meta-analysis of the metabolic syndrome prevalence in the global hiv-infected population. PLoS One. 2016;11(3):e0150970.
  • 10
    Malachias MV, Gomes MA, Nobre F, Alessi A, Feitosa AD, Coelho EB. 7th brazilian guideline of arterial hypertension: chapter 2 - diagnosis and classification. Arq Bras Cardiol. 2016;107(3 Suppl 3):7–13.
  • 11
    World Health Organization (WHO). Waist circumference and waist–hip ratio: report of a WHO expert consultation. Geneva: WHO; 2008.
  • 12
    Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al.; American Heart Association; National Heart, Lung, and Blood Institute. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112(17):2735–52.
  • 13
    International Diabetes Federation (IDF). The IDF consensus worldwide definition of the metabolic syndrome. Belgium: IDF; 2006.
  • 14
    Associação Brasileira para o Estudo da Obesidade e da Síndrome Metabólica (ABESO). Diretrizes Brasileiras de Obesidade 2016. 4a ed. São Paulo: ABESO; 2016.
  • 15
    Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.
  • 16
    Drelichowska J, Kwiatkowska W, Knysz B, Witkiewicz W. Metabolic syndrome in HIV-positive patients. HIV AIDS Rev. 2015;14(2):35–41.
  • 17
    Hirigo AT, Tesfaye DY. Influences of gender in metabolic syndrome and its components among people living with HIV virus using antiretroviral treatment in Hawassa, southern Ethiopia. BMC Res Notes. 2016;9(1):145.
  • 18
    Obirikorang C, Quaye L, Osei-Yeboah J, Odame EA, Asare I. Prevalence of metabolic syndrome among HIV-infected patients in Ghana: A cross-sectional study. Niger Med J. 2016;57(2):86–90.
  • 19
    Nguyen KA, Peer N, de Villiers A, Mukasa B, Matsha TE, Mills EJ, et al. Metabolic syndrome in people living with human immunodeficiency virus: an assessment of the prevalence and the agreement between diagnostic criteria. Int J Endocrinol. 2017;2017:1613657.
  • 20
    Saad MA, Cardoso GP, Martins WA, Velarde LG, Cruz Filho RA. Prevalence of metabolic syndrome in elderly and agreement among four diagnostic criteria. Arq Bras Cardiol. 2014;102(3):263–9.
  • 21
    Adnan M, Rahat T, Hashmat N, Ali Z. Metabolic syndrome; agreement between diagnostic criteria among type 2 diabetes mellitus patients. Prof Med J. 2017;24(4):539–44.
  • 22
    Mbugua SM, Kimani ST, Munyoki G. Metabolic syndrome and its components among university students in Kenya. BMC Public Health. 2017;17(1):909.
  • 23
    Faludi AA, Izar MC, Kerr SJ, Marte CA, Bianco HT, Afiune NA, et al. Atualização da Diretriz Brasileira de Dislipidemias e Prevenção da Aterosclerose – 2017. Arq Bras Cardiol. 2017;109(2 Suppl1):1–76.
  • 24
    Diretrizes da Sociedade Brasileira de Diabetes 2017-2018. São Paulo: Editora Clannad; 2017. [organizado por José Egídio Paulo de Oliveira, Renan Magalhães Montenegro Junior, Sérgio Vencio].
  • 25
    Galvão MT, Soares LL, Pedrosa SC, Fiuza ML, Lemos LA. Quality of life and adherence to antiretroviral medication in people with HIV. Acta Paul Enferm. 2015;28(1):48–53.
  • 26
    Akl LD, Valadares AL, Moraes MJ, Pinto-Neto AM, Lagrutta B, Costa-Paiva L. Metabolic syndrome in HIV-infected middle-aged women on antiretroviral therapy: prevalence and associated factors. Braz J Infect Dis. 2017;21(3):263–9.
  • 27
    Alves TC, Moraes C, Santos AP, Venturini ACR, Santana RC, Navarro AM, et al. Increased chance of metabolic syndrome in women living with HIV/AIDS and lipodystrophic syndrome. Medicina (Ribeirão Preto. 2016; 49(5):421-8.
  • 28
    Beraldo RA, Santos AP, Guimarães MP, Vassimon HS, Paula FJ, Machado DR, et al. Body fat redistribution and changes in lipid and glucose metabolism in people living with HIV/AIDS. Rev Bras Epidemiol. 2017;20(3):526–36.
  • 29
    Ximenes RA, Lacerda HR, Miranda-Filho DB, Albuquerque MF, Montarroyos UR, Turchi MD, et al. Comparison between potential risk factors for cardiovascular disease in people living with HIV/AIDS in areas of Brazil. J Infect Dev Ctries. 2015;9(9):988–96.
  • 30
    Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde, Departamento de Vigilância, Prevenção e Controle das Infecções Sexualmente Transmissíveis, do HIV/Aids e das Hepatites Virais. Protocolo Clínico e Diretrizes Terapêuticas para Manejo da Infecção pelo HIV em adultos. Brasília (DF): Ministério da Saúde; 2018.
  • 31
    Nix LM, Tien PC. Metabolic syndrome, diabetes, and cardiovascular risk in HIV. Curr HIV/AIDS Rep. 2014;11(3):271–8.
  • 32
    Dada AO, Oshodi TT, Ajie IO, Onyenekwu CP. Prevalence of insulin resistance among patients attending the HIV clinic in a Nigerian tertiary hospital. Diabetes Metab Syndr. 2017;11 Suppl 2:S607–10.

Publication Dates

  • Publication in this collection
    26 Nov 2021
  • Date of issue
    2021

History

  • Received
    27 Mar 2020
  • Accepted
    2 Dec 2020
Escola Paulista de Enfermagem, Universidade Federal de São Paulo R. Napoleão de Barros, 754, 04024-002 São Paulo - SP/Brasil, Tel./Fax: (55 11) 5576 4430 - São Paulo - SP - Brazil
E-mail: actapaulista@unifesp.br