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      Prevalence of Dyslipidaemia in HIV-infected Children Treated with Protease Inhibitors in South Africa

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            Abstract

            Background: HIV infection and antiretroviral therapy (ART) are associated with dyslipidaemia in children. Protease-inhibitor-based regimens, in particular, have shown the highest association.

            Methods: We conducted a retrospective study of children treated with either a first- or second-line lopinavir/ritonavir (LPV/r) regimen who had any non-fasting lipid tests done from 2004 to 2015. Dyslipidaemia was defined as hypercholesterolaemia (total cholesterol ≥5.13 mmol/l) and/or hypertriglyceridaemia (total triglycerides ≥1.69 mmol/l). There were four cross-sectional points of analysis in this study: ART start, LPV/r start, 12 and 24 months. Demographic and clinical characteristics were compared using univariate and multivariate analyses to determine risk factors for dyslipidaemia at each time point.

            Results: The median age at ART start was 1.6 (0.4; 4.4) increasing to 3.6 (2.6; 6.2) years by 24 months. The majority (51%) of the children had severe immune suppression (CD4 count <200 or CD4% < 15%) at ART start. The prevalence of dyslipidaemia at ART start was 47%, decreasing to 36% at 24 months. Multivariate analysis at 12 months found that children less than 10 years of age and despite having near suppressed/suppressed viral loads (<10,000 copies/ml) were more likely to have dyslipidaemia. Furthermore, ART duration more than 24 months was associated with less dyslipidaemia.

            Conclusion: The high prevalence of dyslipidaemia in young children is concerning as LPV/r is the mainstay of ART in young children for the foreseeable future.

            Main article text

            Introduction

            In 2015, there were an estimated 2.1 million [confidence interval (CI): 1.7–2.6 million] children (<15 years) living with HIV globally, with East and Southern Africa contributing 1.3 million (CI: 1.1–1.6 million) and South Africa having 320,000 (CI: 260,000–400,000).(1) An increasing percentage of these children is accessing antiretroviral therapy (ART), 51% (CI: 37–63) in East and Southern Africa and 55% (CI: 45–70) in South Africa.(1) ART has converted HIV infection into a chronic illness.(2) However, despite increased survival, there is growing concern about the metabolic complications of ART that include dyslipidaemia, especially, in children in whom the longest exposure to ART is anticipated.(3)

            In both adults and children, HIV infection itself causes an abnormal lipid profile by resulting in hypertriglyceridaemia, increased very low-density lipoproteins, decreased total cholesterol and high-density lipoproteins.(46) ART in children initially corrects this effect towards a more normal lipid profile.(4) However, continued exposure may result in a dyslipidaemic trend in the lipid profile.(7,8) Some children demonstrate transient dyslipidaemia but in those in whom there is persistent dyslipidaemia, lipid levels increase to a plateau around 2 years on treatment.(7,8)

            Paediatric studies on dyslipidaemia in HIV-infected children have largely investigated ART-associated lipodystrophy syndrome (912) for which the emerging consensus definition includes peripheral lipoatrophy, visceral adipose tissue accumulation, hypercholesterolaemia, hypertriglyceridaemia, insulin resistance and diabetes mellitus.(12)

            Protease inhibitors (PIs) have consistently proven to be the most dyslipidaemic of the antiretroviral drugs in children.(4,7,10,13,14) The PI ritonavir or PIs that are co-formulated with ritonavir are highly dyslipidaemic.(9,1517) This is noteworthy as all PIs are now routinely used with ritonavir. The reported prevalence of dyslipidaemia in children on PIs has ranged between 5% and 90%.(18) Paediatric studies conducted prior to 2009 on lipodystrophy syndrome, including dyslipidaemia, investigated a range of PIs, including dual PI-containing regimens.(7,10,15) However, these studies are not comparable as different definitions were applied, lipids were measured at varying time points, non-contemporary PIs were included and even dual PIs were prescribed. Furthermore, the dynamic background of HIV infection and ART-induced changes over time, as well as the effects of physiological-age- and maturation-dependent changes, impact on the comparability of these studies.(15)

            There are only two studies that have been conducted on PI-associated dyslipidaemia in African children. Both studied very young children (<6 years of age) with the latter focusing on the lipodystrophy syndrome.(4,19) The prevalence of dyslipidaemia was reported to be 36% and 40%, respectively. Therefore, we sought to determine the prevalence of dyslipidaemia in African children (0–19 years) treated with second-generation PIs and the risk factors associated with development of dyslipidaemia.

            Methods

            We conducted a retrospective study, between 2004 and 2015, at the Harriet Shezi Children's Clinic (HSCC), Chris Hani Baragwanath Academic Hospital, Johannesburg, South Africa. Since 2004, children less than 3 years old and/or under 10 kg are initiated on a lopinavir/ritonavir (LPV/r)-based first-line regimen, while those older than 3 years and over 10 kg are initiated on a non-nucleoside reverse-transcriptase-inhibitor (NNRTI)-based first-line regimen. Patients failing an NNRTI-based first-line regimen are switched to an LPV/r-based second-line regimen. In the first guideline in 2004, the NRTI-backbone was lamivudine and stavudine for first-line therapy, and didanosine and zidovudine for second-line therapy. However, from 2010 to date, the first-line NRTI backbone was changed to lamivudine and abacavir. The tenofovir–emtricitabine combination was introduced in 2013 and became an NRTI option for those children weighing at least 35 kg. The South African Antiretroviral Treatment Guidelines stipulate that all patients on LPV/r should be monitored for dyslipidaemia with non-fasting total cholesterol and triglycerides at baseline and annually as part of routine care.(2023)

            Patient-level data were extracted from the clinic's Therapy Edge database. Demographic characteristics (age and sex), anthropometry [weight, height and body mass index (BMI)], non-fasting cholesterol and triglycerides levels, CD4 cell count, CD4 per cent, viral load (VL), co-medications and co-morbid conditions associated with dyslipidaemia were collected from the ART initiation visit to 24-month post-ART initiation. Additional laboratory data were obtained from the National Health Laboratory Service.

            There were four cross-sectional points of analysis in this study: ART start (date of ART initiation), LPV/r start (LPV/r-based regimen was initiated; either as a first- or second-line regimen), 12- and 24-month post-LPV/r start. For patients who initiated ART on an LPV/r regimen, the ART start and LPV/r start visit were the same. The visit date that corresponded to the patient being on an LPV/r-based regimen for 9–15 months was defined as the 12-month visit; similarly, the visit date that corresponded to the patient being on an LPV/r-based regimen for 21–27 months was defined as the 24-month visit. Immune status was defined as normal (CD4 cell count ≥500 cells/mm3 for children older than 5 years and CD4% ≥ 25% for children younger than 5), moderate immune suppression (CD4 cell count ≥200 and <500 cells/mm3 for children older than 5 years and CD4% ≥ 15% and <25% for younger children) and severe immune suppression (CD4 cell count <200 cells/mm3 for children older than 5 years and CD4% < 15% for younger children). Anthropometric z-scores were calculated using the WHO macro for Stata.(24) Underweight was defined as a weight-for-age z-score (WAZ) less than −2 (WAZ < −2SD), while stunted was defined as a height-for-age z-score (HAZ) less than −2 (HAZ < −2SD). We used weight-for-height to assess wasting in children ≤5 years, defined as weight-for-height z-score (WHZ) less than −2 (WHZ < −2SD). For children >5 years, we used BMI to assess wasting, defined as a BMI z-score (BMIZ) less than −2 (BMIZ < −2SD). Viral suppression was defined as a VL less than 400 copies/ml.(2023)

            Dyslipidaemia was defined as hypercholesterolaemia (total cholesterol ≥5.13 mmol/l) and/or hypertriglyceridaemia (total triglycerides ≥1.69 mmol/l).(25) This definition applied to two previous South African studies,(4,19) and the studies on American children that derived these values used non-fasting lipids.(26,27) At 12 and 24 months, we chose a log VL less than 4 (10,000 copies/ml) as a proxy for significant drug pressure which was inclusive of VLs that were suppressed. This was chosen to denote reasonable adherence in order to investigate the effect of LPV/r on the measured lipids. Young children (receiving LPV/r-based ART) with higher baseline VLs take longer to achieve virologic suppression.(28)

            Descriptive statistics were used to summarize the clinical and demographic characteristics of children included in the study at ART start, LPV/r start, 12 and 24 months. Chi-squared tests were used to identify categorical variables associated with dyslipidaemia. Variables associated with dyslipidaemia in the bivariate logistic models (at 20% significance, p < 0.2) were included in the multivariate logistic regression models. Stepwise selection and backwards elimination were used to determine the most parsimonious model. A p-value <0.05 was considered significant in the selection of the final model. Statistical analyses were performed using Stata 13.1 (StataCorp, College Station, TX, USA).

            In order to determine whether children who had lipids measured were significantly different to those who did not have lipids measured at each of the analysis time points, a sensitivity analysis was performed. We compared demographic and clinical characteristics among those who did not have lipids measured and those who did have lipids measured, but did not have any dyslipidaemia. Ethical approval to conduct this retrospective study was obtained from the Human Research Ethics Committee of the University of the Witwatersrand.

            Results

            Of the 7189 HIV-infected children since April 2004, 6058 (84%) were initiated on ART; 56% (3426) of whom were treated with an LPV/r-based regimen. Patients on LPV/r for less than 9 months (757), those who initiated LPV/r 6 months prior to their first visit at HSCC (98), patients initiated on ART prior to 1 April 2004 (146) and patients with no information at 12 months (137) were excluded, leaving 2145 children included in the analysis (Fig 1).

            Fig 1: 

            Children treated with LPV/r1

            HSCC = Harriet Shezi Children's Clinic.

            1LPV/r = lopinavir/ritonavir.

            By 12- and 24-month post-LPV/r initiation, children had moved to another site, had a regimen change, were lost to follow up or demised leaving 1905 and 1522 children who had visits at these time points, respectively (Fig 1). Children treated with PIs other than LPV/r were also excluded.

            At ART initiation, of the 2145 children who initiated an LPV/r regimen, half (52%) were males, with 76% younger than 5 years of age. Only 17% had no immune suppression at ART start, with 51% presenting with severe immune suppression. At ART start, the median overall anthropometric z-scores were normal. However, children younger than 5 years had significantly lower z-scores compared to older children; median WAZ −2.22 [interquartile range (IQR): −3.47; −0.88] and median HAZ −2.51 (IQR: −3.64; −1.17) (Table 1).

            Table 1: 

            Demographic and clinical characteristics of 2145 children ever started on an LPV/r1-based regimen at ART initiation.

            CharacteristicsOverallAge group <5 years, n (%N)Age group 5–9 years, n (%N)Age group 10–14 years, n (%N)Age group 15–19 years, n (%N) p-Value
            n (%N) or median (IQR)
            Total (N)21451635 (76.2)283 (13.2)210 (9.8)17 (0.8)
            Males1104 (51.5)840 (51.4)146 (51.6)107 (51.0)11 (64.7)0.761#
            CD4 data available2 1596 (74.4)1201 (73.5)230 (81.3)153 (72.9)12 (70.6)
            CD4%14.8 (10; 22)
            CD4 cell count231 (103; 413)140 (28; 246)112 (57; 303)<0.001*
            Immune suppression3
            • Severe816 (51.1)607 (50.5)99 (43.0)103 (67.3)8 (66.7)<0.001#
            • Moderate511 (32.0)375 (31.2)87 (37.8)45 (29.4)4 (33.3)
            • None269 (16.9)220 (18.3)44 (19.1)5 (3.3)0 (0)
            Viral loads available2 1496 (69.7)1117 (68.3)214 (75.6)153 (72.9)12 (70.6)
            Log viral load in copies/ml5.5 (4.8; 6.1)5.7 (5.0; 6.2)5.0 (4.5; 5.4)5.0 (4.3; 5.4)5.0 (4.2; 5.5)<0.001*
            WAZ4 −1.81 (−3.25; −0.35)−2.22 (−3.47; −0.88)0.52 (−0.6; 2.06)−0.15 (−0.67; 0.20)<0.001*
            HAZ5 −1.85 (−3.30; −0.46)−2.51 (−3.64; −1.17)0.45 (−0.77; 2.56)−0.76 (−1.64; 0.63)−1.56 (−1.99; −0.80)<0.001*
            WHZ in children ≤5 years6 −0.95 (−2.23; 0.19)−0.95 (−2.24; 0.19)
            BMIZ in children >5–19 years7 0.26 (−0.56; 0.99)0.37 (−0.46; 1.09)0.17 (−0.64; 0.86)−1.27 (−1.80; 0.59)<0.001*
            1

            LPV/r = lopinavir/ritonavir.

            Chi-squared test.

            2

            Data were not available for the rest of the children at ART initiation; these values were used as the denominators for frequency percentages provided in this section of the table.

            3

            Immune suppression categories defined as follows: severe immune suppression (CD4% < 15% if age ≤5 years or CD4 cell count <200 if age >5 years); moderate immune suppression (CD4% 15%–24% if age ≤5 years or CD4 cell count 200–500 if age >5 years); no immune suppression (CD4% ≥ 25% if age ≤5 years or CD4 cell count >500 if age >5 years).

            *

            Kruskal–Wallis test.

            #

            Fisher's exact test.

            4

            WAZ = weight-for-age z-score.

            5

            HAZ = height-for-age z-score.

            6

            WHZ = weight-for-height z-score.

            7

            BMIZ = body-mass-index z-score.

            Few children had lipids (either triglycerides or cholesterol) measured over the follow-up period, increasing from 7% (146/2146) at ART initiation to 24% (365/2146) after 24 months on LPV/r. All analyses were based on children who had measured lipids [n = 146 (ART start), n = 161 (LPV/r start), n = 335 (12 months post-LPV/r) and n = 365 (24 months post-LPV/r)] (Table 2).

            Table 2: 

            Demographic and clinical characteristics of children with measured lipids at ART start, LPV/r start, 12 and 24 months on LPV/r1

            VariableART startLPV/r start12 Months on LPV/r24 Months on LPV/r
            TriglyceridesCholesterolTriglyceridesCholesterolTriglyceridesCholesterolTriglyceridesCholesterol
            Lipids
            Total with measured lipids (N)133146150161335332363365
            Normal lipids n (%N)6213976151219298257306
            Elevated n (%N)71 (53%)7 (5%)74 (49%)10 (6%)116 (35%)34 (10%)106 (29%)59 (16%)
            Demographic and clinical characteristics n (%N)
            SexM67 (50%)69 (47%)69 (46%)71 (44%)157 (47%)158 (48%)188 (52%)188 (52%)
            Age groups<10 Years123 (93%)135 (93%)118 (79%)126 (78%)245 (73%)238 (72%)271 (75%)272 (75%)
            Immune suppression<25%/50094 (71%)102 (70%)98 (65%)107 (67%)120 (36%)114 (34%)82 (23%)82 (23%)
            Severe immune suppression<15%/20058 (44%)57 (39)56 (37%)57 (35%)26 (8%)26 (8%)15 (4%)16 (4%)
            Log VL<5 log75 (56%)80 (55%)
            Log VL<4 log23 (34%)24 (33%)264 (79%)261 (79%)271 (75%)272 (75%)
            WAZ2 Normal40 (30%)42 (29%)36 (24%)42 (26%)183 (55%)175 (53%)218 (60%)219 (60%)
            HAZ2 Normal40 (30%)32 (22%)47 (31%)48 (30%)178 (53%)174 (52%)188 (52%)191 (52%)
            WHZ2 and BMI2 (<10)3 Normal61 (50%)71 (53%)53 (35%)59 (37%)203 (83%)195 (82%)233 (86%)233 (86%)
            BMI2 (≥10 years)3 Normal6 (60%)6 (55%)22 (69%)22 (63%)71 (79%)75 (80%)67 (73%)67 (72%)
            ART duration<24 Months122 (81%)131 (81%)233 (70%)226 (68%)122 (34%)124 (34%)
            24–60 Months17 (11%)18 (11%)68 (20%)71 (21%)198 (54%)198 (54%)
            ≥60 Months11 (8%)12 (8%)34 (10%)35 (11%)43 (12%)43 (12%)
            Regimen(NRTI)4 + efv5 17 (13%)21 (14%)
            (NRTI) + LPV/r90 (68%)94 (65%)119 (79%)126 (78%)311 (93%)308 (93%)349 (96%)351 (96%)
            (NRTI) + lpvr + rtv6 26 (19%)31 (21%)2731151577
            LPV/r first line108 (81%)117 (80%)110 (73%)119 (74%)218 (65%)210 (63%)242 (67%)242 (66%)
            LPV/r second line25 (19%)29 (20%)40 (27%)42 (26%)117 (35%)122 (37%)121 (33%)123 (34%)
            1

            LPV/r = lopinavir/ritonavir.

            2

            WAZ = weight-for-age z-score, HAZ = height-for-age z-score, WHZ = weight-for height z-score, BMIZ = body-mass-index z-score.

            3

            The respective number of patients less and over 10 years of age were used as denominators for frequency percentages.

            4

            NRTI = nucleoside reverse transcriptase inhibitor.

            5

            Efaviranz.

            6

            Ritonavir.

            Amongst those who had measured lipids, the prevalence of dyslipidaemia at ART start was 47%, decreasing to 36% at 24 months. The prevalence of hypercholesterolaemia was 5% at ART start, increasing to 16% by 24 months, while the prevalence of hypertriglyceridaemia decreased from 53% at ART start to 29% by 24 months (Fig 2).

            Fig 2: 

            Prevalence of dyslipidaemia (hypertriglyceridaemia or hypercholesterolaemia)

            1LPV/r = lopinavir/ritonavir.

            Very few patients had measured lipids at all four time points; 16 and 19 for triglycerides and cholesterol, respectively. The median age of these patients was 1.2 (IQR 1.2; 2) years; thus, the ART start and LPV/r start visits were the same. Amongst these patients, the rates of dyslipidaemia were 43%, 39% and 68% at ART start, 12 and 24 months, respectively (Fig 3). In this small cohort, we observed a high proportion with hypertriglyceridaemia at ART start (44%) which decreased slightly (31%) at 12 months but increased again (47%) at 24 months. In contrast, hypercholesterolaemia increased from 12% at ART start to 37% by 24 months (Fig 3).

            Fig 3: 

            Prevalence of dyslipidaemia, hypertriglyceridaemia and hypercholesterolaemia among children with lipid measurements at all three time points (ART start, on LPV/r1 for 12 and 24 months)

            1LPV/r = lopinavir/ritonavir.

            Univariate analyses of the effect of demographic and clinical factors at ART initiation showed that children older than 10 years were less likely to have dyslipidaemia [odds ratio (OR) = 0.10, 95% CI: 0.01–0.81] and those with a higher VL (OR = 2.5, 95% CI: 1.09–5.67) were more likely to have dyslipidaemia. In multivariate analysis, only older age remained negatively associated with dyslipidaemia (OR = 0.10, 95% CI: 0.01–0.81) (Table 3).

            Table 3: 

            Univariate and multivariate analysis at ART start and LPV/r1 start.

            VariableART startLPV/r start
            Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis
            Unadjusted OR (95% CI) p-ValueAdjusted OR (95% CI) p-ValueUnadjusted OR (95% CI) p-ValueUnadjusted OR (95% CI) p-Value
            MalesF11
            M1.3 (0.68–2.35)0.4601.18 (0.65–2.15)0.58
            Age groups<10 years111
            10–19 years0.1 (0.01–0.81) 0.031 0.1 (0.01–0.81) 0.031 0.28 (0.12–0.66) 0.004
            Immune suppression≥25%/50011
            <25%/5001.64 (0.61–4.41)0.3301.75 (0.77–4.06)0.179
            Severe immune suppression≥15%/20011
            <15%/2001.80 (0.90–3.61)0.0982.02 (1.04–3.93) 0.037
            Log VL<5 log11
            ≥5 log2.49 (1.09–5.67) 0.030 1.05 (0.44–2.51)0.912
            WAZ2 Normal11
            Underweight1.80 (0.87–3.76)0.1151.45 (0.68–3.10)0.336
            HAZ2 Normal11
            Stunted1.51 (0.73–3.13)0.2661.57 (0.80–3.10)0.193
            WHZ3 and BMIZ3 (<10)Normal11
            Wasted1.53 (0.70–3.32)0.2851.81 (0.78–4.17)0.164
            BMIZ (>10)Normal11
            Wasted4 0.9 (0.08–9.97)0.932
            ART duration<24 Months11
            24–60 Months0.19 (0.05–0.77) 0.010 0.19 (0.05–0.77) 0.010
            ≥60 Months0.18 (0.04–0.88) 0.034 0.18 (0.04–0.88) 0.034
            Regimen(NRTI)3 + efv5
            (NRTI) + LPV/r1
            (NRTI) + LPV/r + rtv6 1.66 (0.79–3.48)0.180
            LPV/r as first or second lineFirst line1
            Second line0.31 (0.15–0.67) 0.003
            1

            LPV/r = lopinavir/ritonavir.

            2

            WAZ = weight-for-age z-score, HAZ = height-for-age z-score, WHZ = weight-for height z-score, BMIZ = body-mass-index z-score.

            3

            NRTI = nucleoside reverse transcriptase inhibitor.

            4

            Not evaluable (only six measured lipids in the normal BMIZ category).

            5

            Efaviranz.

            6

            Ritonavir. Bold values represent statistical significance

            Children who were older than 10 years of age (OR = 0.28, 95% CI: 0.12–0.66), on ART for more than 24 months (OR = 0.19, 95% CI: 0.05–0.77) and on LPV/r as a second-line regimen (OR = 0.31, 95% CI: 0.15–0.67), were less likely to have dyslipidaemia, while those presenting with severe immune suppression (OR = 2.02, 95% CI: 1.04–3.93) were more likely to have dyslipidaemia at LPV/r start (Table 3). However, on multivariate analyses, only ART duration greater than 24 months remained negatively associated with dyslipidaemia (OR = 0.19, 95% CI: 0.05–0.77) (Table 3).

            At 12 months after LPV/r start, univariate analyses of the effect of demographic and clinical factors on dyslipidaemia showed that being over 10 years (OR = 0.37, 95% CI: 0.22–0.65), having a high VL (log VL ≥ 4) (OR = 0.38, 95% CI: 0.18–0.79), being on ART for 24–60 months (OR = 0.53, 95% CI: 0.30–0.95) and being on LPV/r as a second-line regimen (OR = 0.48, 95% CI: 0.30–0.76) were protective against dyslipidaemia. In multivariate analyses, only age older than 10 and high VLs remained associated with dyslipidaemia (OR = 0.41, 95% CI: 0.22–0.75 and OR = 0.45, 95% CI: 0.21–0.95, respectively) (Table 4).

            Table 4: 

            Univariate and multivariate analysis at LPV/r1 12 and 24 months.

            Variable12 Months24 Months
            Univariate analysisMultivariate analysisUnivariate analysisMultivariate analysis
            Unadjusted OR (95% CI) p-ValueAdjusted OR (95% CI) p-ValueUnadjusted OR (95% CI) p-ValueAdjusted OR (95% CI) p-Value
            SexF11
            M0.89 (0.58–1.38)0.6111.17 (0.77–1.79)0.46
            Age groups<10 Years111
            10–19 Years0.37 (0.22–0.65) 0.000 0.41 (0.22–0.75) 0.004 0.39 (0.23–0.67) 0.001
            Immune suppression≥25%/50011
            <25%/5000.64 (0.40–1.03)0.0630.77 (0.45–1.29)0.325
            Severe immune suppression≥15%/20011
            <15%/2000.58 (0.24–1.42)0.2320.58 (0.18–1.85)0.361
            Log VL<4 log1111
            ≥4 log0.38 (0.18–0.79) 0.009 0.45 (0.21–0.95) 0.036 0.33 (0.14–0.78) 0.011 0.33 (0.14–0.79) 0.012
            WAZ2 Normal11
            Underweight0.99 (0.52–1.89)0.9711.31 (0.68–2.45)0.433
            HAZ2 Normal11
            Stunted1.07 (0.69–1.67)0.7561.23 (0.81–1.89)0.328
            WHZ2 and BMIZ2 (<10)Normal11
            Wasted0.28 (0.06–1.37)0.1162.15 (0.59–7.82)0.245
            BMIZ (>10)Normal11
            Wasted0.63 (0.13–3.16)0.5780.87 (0.21–3.49)0.849
            ART duration<24 Months1
            24–60 Months0.53 (0.30–0.95) 0.033 1
            ≥60 Months0.47 (0.21–1.05)0.0660.15 (0.05–0.44) 0.001 0.19 (0.06–0.56) 0.002
            Regimen(NRTI)3 + lpv/r11
            (NRTI) + lpvr + rtv4 1.91 (0.67–5.39)0.2230.28 (0.03–2.39)0.247
            LPV/r as first or second lineFirst line11
            Second line0.48 (0.30–0.76) 0.002 0.41 (0.26–0.67)<0.000
            1

            LPV/r = lopinavir/ritonavir.

            2

            WAZ = weight-for-age z-score, HAZ = height-for-age z-score, WHZ = weight-for height z-score, BMIZ = body-mass-index z-score.

            3

            NRTI: nucleoside reverse transcriptase inhibitor. Bold values represent statistical significance

            Similarly, at 24 months after LPV/r start, univariate analyses showed that age older than 10 (OR = 0.39, 95% CI: 0.23–0.67), high VLs (OR = 0.33, 95% CI: 0.14–0.78), ART duration of at least 60 months (OR = 0.15, 95% CI: 0.05–0.44) and LPV/r as a second-line regimen (OR = 0.41, 95% CI: 0.26–0.67) were protective against dyslipidaemia. Only high VLs and ART duration of at least 60 months remained protective of dyslipidaemia in the multivariate model (OR = 33, 95% CI: 0.14–0.79 and OR = 0.19, 95% CI: 0.06–0.56, respectively) (Table 4).

            Discussion

            This study found a high prevalence of dyslipidaemia among children who were ART-naive, and this pattern is consistent with other studies in the literature.(4,29) Our findings suggest a trend towards a decreasing prevalence for hypertriglyceridaemia (53%–29%) from ART start to 24 months, while the prevalence of hypercholesterolaemia increased from 5% to 16%, respectively.

            Viraemia-induced dyslipidaemia at baseline has been described with ART, initially decreasing triglycerides and increasing cholesterol towards normal. Further lipid increases occur with continued ART, notably with PIs.(4,6) The recommended NRTI backbone has varied in the various iterations of the guidelines. An initial unreported analysis based on different NRTI backbones found no association with dyslipidaemia at all four time points; hence, the effect of the different NRTIs on dyslipidaemia was not studied. A transient dyslipidaemia has also been described on ART, including PIs, with stabilization expected to occur by 24 months. Hence, the high prevalence of dyslipidaemia still present at 24 months (36%) is concerning.

            In this study, we used a log VL less than 4 as a proxy for significant drug pressure. Notwithstanding, it is important to note that at 12 months, 77% of the patients with a log VL less than 4 were by definition virally suppressed (VL < 400) and at 24 months 82% were virally suppressed.

            Children younger than 10 years of age had a significant association with dyslipidaemia on univariate analysis at all four time points. Furthermore on multivariate analysis, scrutiny of the PI (LPV/r) effects at 12 months, found that children younger than 10 years with near suppressed/suppressed VLs (<4 logs) were more likely to have dyslipidaemia. At 24 months on LPV/r, ART duration greater than 60 months was an additional protective factor on multivariate analysis.

            The long-term cardiovascular and metabolic consequences of PI-induced dyslipidaemia in these young children is largely unknown. However, several studies suggest that this poses a potential cardiovascular risk.(3033) Children initiating ART at less than 3 years of age can be expected to remain on LPV/r for a very long time. The findings from NEVEREST III, which showed no significant difference in viral rebound and viral failure post switch to an efavirenz-based regimen, offer hope of ameliorating this risk.(34)

            Typical of retrospective studies, not all the variables of interest were comprehensively collected in this routine-care setting; notably, lipids were particularly poorly investigated at routine clinical visits. The authors hypothesize that the decreased lipid measurement in children younger than 10 years old was possibly related to difficulties with drawing large volumes of blood or the limited therapeutic options for young children with dyslipidaemia. In addition, due to the retrospective and routine nature of the database, we were not able to measure the effect of co-medications and co-morbid conditions on dyslipidaemia as very few patients had both measured lipids and information on co-morbidities and co-medications available. Nevertheless, we believe that the information from this article is valuable as it describes the largest set of paediatric lipid profiles in children on PIs.

            Similar to other studies, we did not obtain lipids from children in the fasting state.(4,7,8,35) Nevertheless, triglycerides are affected by the non-fasting state, while cholesterol is not affected by the non-fasting state.(36) There are no cholesterol and triglycerides reference values available for South African children; thus, the effect of the use of reference values from North American children on the presented results is unknown. Lastly, this study could not evaluate the effect of diet, smoking or family history of lipid disorders as these data were not routinely collected.

            The strength of this study lies in the multiple cross- sectional points for the evaluation of the prevalence of dyslipidaemia suggesting the increasing prevalence of hypercholesterolaemia over time and the decreasing prevalence of hypertriglyceridaemia, thereby confirming findings from other studies.(4,14) This study highlights the importance of adherence to guidelines and the creation of quality assurance measures to audit clinical practice.

            Conclusion

            The high prevalence of dyslipidaemia, notably, amongst young children expected to be treated with PIs such as LPV/r for long durations is concerning. This underscores the need for increasing safer drug options for this population in low-income countries who have limited access to newer drug classes like integrase inhibitors. Furthermore, long-term evaluation for dyslipidaemia and its cardiovascular complications is essential for those already on therapy.

            Acknowledgements

            The authors would like to thank the National Health Laboratory Service for providing supplementary laboratory data and Albert Maribe and Elizabeth Kachingwe from Wits Reproductive Health and HIV Institute for data retrieval and providing statistical support, respectively.

            References

            1. UNAIDS. AIDSinfo. 2017. http://aidsinfo.unaids.org/# (accessed 12 September 2017).

            2. Barlow-Mosha L, Eckard AR, McComsey GA, Musoke PM.. Metabolic complications and treatment of perinatally HIV-infected children and adolescents. J Int AIDS Soc. 2013. Vol. 16:18600

            3. Dapena M, Jimenez B, Noguera-Julian A, et al.. Metabolic disorders in vertically HIV-infected children: future adults at risk for cardiovascular disease. J Pediatr Endocrinol Metab. 2012. Vol. 25(5–6):529–535

            4. Strehlau R, Coovadia A, Abrams EJ, et al.. Lipid profiles in young HIV-infected children initiating and changing antiretroviral therapy. J Acquir Immune Defic Syndr. 2012. Vol. 60(4):369–376

            5. Grunfeld C, Kotler DP, Hamadeh R, et al.. Hyper­triglyceridemia in the acquired immunodeficiency syndrome. Am J Med. 1989. Vol. 86(1):27–31

            6. Grunfeld C, Pang M, Doerrler W, et al.. Lipids, lipoproteins, triglyceride clearance, and cytokines in human immunodeficiency virus infection and the acquired immunodeficiency syndrome. J Clin Endocrinol Metab. 1992. Vol. 74(5):1045–1052

            7. Carter RJ, Wiener J, Abrams EJ, et al.. Dyslipidemia among perinatally HIV-infected children enrolled in the PACTS-HOPE cohort, 1999–2004: a longitudinal analysis. J Acquir Immune Defic Syndr. 2006. Vol. 41(4):453–460

            8. Lapphra K, Vanprapar N, Phongsamart W, Chearskul P, Chokephaibulkit K.. Dyslipidemia and lipodystrophy in HIV-infected Thai children on highly active antiretroviral therapy (HAART). J Med Assoc Thai. 2005. Vol. 88(7):956–966

            9. Aldrovandi GM, Lindsey JC, Jacobson DL, et al.. Morphologic and metabolic abnormalities in vertically HIV-infected children and youth. AIDS. 2009. Vol. 23(6):661–672

            10. Bitnun A, Sochett E, Babyn P, et al.. Serum lipids, glucose homeostasis and abdominal adipose tissue distribution in protease inhibitor-treated and naive HIV-infected children. AIDS. 2003. Vol. 17(9):1319–1327

            11. Sanchez Torres AM, Munoz Muniz R, Madero R, et al.. Prevalence of fat redistribution and metabolic disorders in human immunodeficiency virus-infected children. Eur J Pediatr. 2005. Vol. 164(5):271–276

            12. Piloya T, Bakeera-Kitaka S, Kekitiinwa A, Kamya MR.. Lipodystrophy among HIV-infected children and adolescents on highly active antiretroviral therapy in Uganda: a cross sectional study. J Int AIDS Soc. 2012. Vol. 15(2):17427

            13. McComsey G, Bhumbra N, Ma JF, Rathore M, Alvarez A.. Impact of protease inhibitor substitution with efavirenz in HIV-infected children: results of the First Pediatric Switch Study. Pediatrics. 2003. Vol. 111(3):e275–e281

            14. Tassiopoulos K, Williams PL, Seage GR 3rd, et al.. Association of hypercholesterolemia incidence with antiretroviral treatment, including protease inhibitors, among perinatally HIV-infected children. J Acquir Immune Defic Syndr. 2008. Vol. 47(5):607–614

            15. Farley J, Gona P, Crain M, et al.. Prevalence of elevated cholesterol and associated risk factors among perinatally HIV-infected children (4–19 years old) in Pediatric AIDS Clinical Trials Group 219C. J Acquir Immune Defic Syndr. 2005. Vol. 38(4):480–487

            16. Taylor P, Worrell C, Steinberg SM, et al.. Natural history of lipid abnormalities and fat redistribution among human immunodeficiency virus-infected children receiving long-term, protease inhibitor-containing, highly active antiretroviral therapy regimens. Pediatrics. 2004. Vol. 114(2):e235–e242

            17. European Paediatric Lipodystrophy Group.. Antiretroviral therapy, fat redistribution and hyperlipidaemia in HIV-infected children in Europe. AIDS. 2004. Vol. 18(10):1443–1451

            18. McComsey GA, Leonard E.. Metabolic complications of HIV therapy in children. AIDS. 2004. Vol. 18(13):1753–1768

            19. Innes S, Abdullah KL, Haubrich R, Cotton MF, Browne SH.. High prevalence of dyslipidemia and insulin resistance in HIV-infected prepubertal African children on antiretroviral therapy. Pediatr Infect Dis J. 2016. Vol. 35(1):e1–e7

            20. Department of Health South Africa. National antiretroviral treatment guidelines. 2004.

            21. National Department of Health South Africa. Guidelines for the management of HIV in children. 2010.

            22. Department of Health South Africa. The South African antiretroviral treatment guidelines. 2013.

            23. Department of Health South Africa. National consolidated guidelines for the prevention of mother-to-child transmission of HIV (PMTCT) and the management of HIV in children, adolescents and adults. 2015.

            24. WHO Anthro Survey Analyser and other tools (version 3.2.2, January 2011) http://www.who.int/childgrowth/software/en/. Accessed 12 September 2017.

            25. Neal WK. Disorders of lipoprotein metabolism and transport. In: Nelson textbook of pediatrics, 18 edn. Philadelphia, Saunders; 2007.

            26. Daniels SR, Greer FR.. Lipid screening and cardiovascular health in childhood. Pediatrics. 2008. Vol. 122(1):198–208

            27. Webber LS, Osganian V, Luepker RV, et al.. Cardiovascular risk factors among third grade children in four regions of the United States. The CATCH Study. Child and adolescent trial for cardiovascular health. Am J Epidemiol. 1995. Vol. 141(5):428–439

            28. Meyers TM, Yotebieng M, Kuhn L, Moultrie H.. Antiretroviral therapy responses among children attending a large public clinic in Soweto, South Africa. Pediatr Infect Dis J. 2011. Vol. 30(11):974–979

            29. Grunfeld C, Pang M, Doerrler W, et al.. Lipids, lipoproteins, triglyceride clearance, and cytokines in human immunodeficiency virus infection and the acquired immunodeficiency syndrome. J Clin Endocrinol Metab. 1992. Vol. 74(5):1045–1052

            30. Li S, Chen W, Srinivasan SR, et al.. Childhood cardiovascular risk factors and carotid vascular changes in adulthood: the Bogalusa Heart Study. JAMA. 2003. Vol. 290:2271–2276

            31. Raitakari OT, Juonala M, Kahonen M, et al.. Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the Cardiovascular Risk in Young Finns Study. JAMA. 2003. Vol. 290:2273–2283

            32. McComsey G, O’Riordan M, Hazen SL, et al.. Increased carotid intima media thickness and cardiac biomarkers in HIV infected children. AIDS Care. 2007. Vol. 21:921–927

            33. Bonnet D, Aggoun Y, Szezepanski I, Bellal N, Blanche S.. Arterial stiffness and endothelial dysfunction in HIV-infected children. AIDS. 2004. Vol. 18(7):1037–1041

            34. Coovadia A, Abrams EJ, Strehlau R, et al.. Efavirenz-based antiretroviral therapy among nevirapine-exposed HIV-infected children in South Africa: a randomized clinical trial. JAMA. 2015. Vol. 314(17):1808–1817

            35. Lainka E, Oezbek S, Falck M, Ndagijimana J, Niehues T.. Marked dyslipidemia in human immunodeficiency virus-infected children on protease inhibitor-containing antiretroviral therapy. Pediatrics. 2002. Vol. 110(5):e56

            36. Kwiterovich PO Jr.. Recognition and management of dyslipidemia in children and adolescents. J Clin Endocrinol Metab. 2008. Vol. 93(11):4200–4209

            Author and article information

            Journal
            WUP
            Wits Journal of Clinical Medicine
            Wits University Press (5th Floor University Corner, Braamfontein, 2050, Johannesburg, South Africa )
            2618-0189
            2618-0197
            05 August 2019
            : 1
            : 2
            : 49-60
            Affiliations
            [1 ]Department of Paediatrics and Child Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, Johannesburg, South Africa
            [2 ]Department of Clinical Medicine, Faculty of Health Sciences, Wits Reproductive Health and HIV Institute, University of the Witwatersrand, Johannesburg, Johannesburg, South Africa
            [* ]Correspondence to: Nosisa Sipambo, Harriet Shezi Children’s Clinic, Chris Hani Baragwanath Academic Hospital, Chris Hani Road, Soweto, South Africa. Telephone number: +27 11 933 9384, mobile: +27 78 968 4638, fax: +27 86 402 4118, Nosisa.Sipambo@ 123456wits.ac.za
            Article
            WJCM
            10.18772/26180197.2019.v1n2a1
            b880d11e-2b0e-45e3-bf0b-5b105b8d9637
            WITS

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            History

            General medicine,Medicine,Internal medicine
            Dyslipidaemia,Children,Protease inhibitors,HIV

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