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. 2021 Jan 14;16(1):e0245085. doi: 10.1371/journal.pone.0245085

Viral load care of HIV-1 infected children and adolescents: A longitudinal study in rural Zimbabwe

Tichaona Mapangisana 1,*, Rhoderick Machekano 1,2, Vinie Kouamou 3, Caroline Maposhere 4, Kathy McCarty 5, Marceline Mudzana 5, Shungu Munyati 4, Junior Mutsvangwa 4, Justen Manasa 6,7, Tinei Shamu 8,9, Mampedi Bogoshi 10, Dennis Israelski 10, David Katzenstein 4,11
Editor: Joseph Fokam12
PMCID: PMC7808638  PMID: 33444325

Abstract

Introduction

Maintaining virologic suppression of children and adolescents on ART in rural communities in sub-Saharan Africa is challenging. We explored switching drug regimens to protease inhibitor (PI) based treatment and reducing nevirapine and zidovudine use in a differentiated community service delivery model in rural Zimbabwe.

Methods

From 2016 through 2018, we followed 306 children and adolescents on ART in Hurungwe, Zimbabwe at Chidamoyo Christian Hospital, which provides compact ART regimens at 8 dispersed rural community outreach sites. Viral load testing was performed (2016) by Roche and at follow-up (2018) by a point of care viral load assay. Virologic failure was defined as viral load ≥1,000 copies/ml. A logistic regression model which included demographics, treatment regimens and caregiver’s characteristics was used to assess risks for virologic failure and loss to follow-up (LTFU).

Results

At baseline in 2016, 296 of 306 children and adolescents (97%) were on first-line ART, and only 10 were receiving a PI-based regimen. The median age was 12 years (IQR 8–15) and 55% were female. Two hundred and nine (68%) had viral load suppression (<1,000 copies/ml) and 97(32%) were unsuppressed (viral load ≥1000). At follow-up in 2018, 42/306 (14%) were either transferred 23 (7%) or LTFU 17 (6%) and 2 had died. In 2018, of the 264 retained in care, 107/264 (41%), had been switched to second-line, ritonavir-boosted PI with abacavir as a new nucleotide analog reverse transcriptase inhibitor (NRTI). Overall viral load suppression increased from 68% in 2016 to 81% in 2018 (P<0.001).

Conclusion

Viral load testing, and switching to second-line, ritonavir-boosted PI with abacavir significantly increased virologic suppression among HIV-infected children and adolescents in rural Zimbabwe.

Introduction

Universal testing and initiation of effective antiretroviral therapy (ART) can mitigate disease progression and the onward transmission of HIV [1]. However, sustaining viral load (VL) suppression of HIV-infected children and adolescent in rural communities is challenging [24]. Despite roll out of treatment in sub-Saharan Africa (SSA), adolescents (10–19 years) are at higher risk of unsuppressed viral load compared to adults and children, and continue to have high morbidity and mortality [35]. In a national study, the Zimbabwe Population Based HIV Impact Assessment study in 2016 identified viral load suppression, defined as viral load <1,000 copies/ml in less than 50% of children and adolescents receiving first-line ART [6]. Children and adolescents on ART in SSA may demonstrate more frequent virologic failure and low level viremia (60–1,000 copies/ml) compared to adults [79].

New guidelines in 2016 for first-line public health ART in low-and-middle-income countries (LMICs) recommended task shifting to nurse led, decentralized ART treatment with a non-nucleoside reverse transcriptase inhibitor (NNRTI) combined with two nucleotide reverse transcriptase inhibitors (NRTI) including lamivudine (3TC) [10]. WHO guidelines, which included tenofovir disoproxil fumarate (TDF) combined with lamivudine and efavirenz (EFV) for adults since 2001, did not recommend tenofovir disoproxil fumarate for children and youth (< 35kg) until 2015 [11,12]. Tenofovir disoproxil fumarate for children was constrained by differing criteria as a preferred nucleotide reverse transcriptase inhibitors based on age, weight and sexual maturity (Tanner stages) and cut-offs by WHO, the US-DHHS and PENTA guidelines [13,14].

Access to generic co-formulation of three drug combinations in LMICs have been driven by cost and availability [15]. Thus, adolescents and children weighing > 35kgs were treated with a single tablet regimen of generic tenofovir disoproxil fumarate/lamivudine/efavirenz. Children weighing < 35kgs, based on available formulations, received twice daily zidovudine/lamivudine/nevirapine (NVP) [16,17]. After virologic failure of a first-line regimen, pediatric co-formulations of generic lopinavir/ritonavir (LPV/r) or atazanavir/ritonavir (ATV/r) as a heat stable tablets were combined with a nucleotide reverse transcriptase inhibitor backbone of abacavir (ABC) and lamivudine [18,19]. Protease inhibitors and a new nucleotide reverse transcriptase inhibitor were recommended with switching because of the extensive drug resistance to first-line therapy [2023].

Challenges in paediatric treatment include stigma, dependence on caregivers, access to youth friendly health services and enhanced adherence counselling [2426]. Stigma and incomplete adherence may be mitigated through differentiated service delivery (DSD) models of community based ART (CBART) [27,28]. The DSD model at Chidamoyo Christian Hospital (CCH), a rural mission hospital in Hurungwe district, Zimbabwe comprises CBART in which a team of healthcare workers make bimonthly visits to distant community ART outreach sites delivering drug and obtaining blood samples for viral load monitoring at dispersed outreach sites. Children and adolescents living less than 10 km from the hospital attend a youth friendly bimonthly clinic at CCH. This CBART delivery model effectively reduces the time, transport and costs imposed on patients when individual visits to a pharmacy and clinic site distant from rural homesteads are required [29,30]. We assessed viral load suppression with viral load monitoring and changes in recommended ART regimens in a nurse-led clinic and community outreach treatment program in rural Zimbabwe.

Methods

Study design

This was a longitudinal study of HIV infected children and adolescents receiving ART through CCH in north west Zimbabwe. The study included all children and adolescents who had been on ART for more than 2 years through the Chidamoyo program at either rural outreach sites or the CCH.

HIV viral load testing

An initial viral load test was obtained at routine outreach and hospital clinic visits between May and September 2016 from children and adolescents on ART for more than two years. Whole blood samples were transported to Harare (300 km one-way trip) within 24 hours, and plasma was separated and kept frozen at -20°C. The Roche COBAS® Ampliprep®/COBAS Taqman48® HIV-1 v 2.0 test was performed, and the results of the quantitative viral load test were returned to providers within one week. Two years later in 2018, a follow-up sample was obtained at enrollment in the CBART clinical trial (NCT03986099). In this follow-up sample, viral load suppression was ascertained by SAMBA-II semi-quantitative testing at CCH [31,32] and standard of Care—Roche assays at Chinhoyi Provincial Hospital.

Study setting

Zimbabwe is one of the Southern African countries with high level of inequality, economic decline and high prevalence of HIV, particularly in rural areas. Hurungwe district is a predominantly agrarian area in Mashonaland West province with a prevalence of poverty and extreme poverty of 89.1% and 56.1% respectively (http://www.zimstat.co.zw). CCH is an 85-bed hospital providing medical services to over 200,000 people including immunization outreach, with 300 inpatient admissions and 150 deliveries per month. The community based outreach programme provides ART to over 4,000 HIV patients (https://www.youtube.com/watch?v=f7se3-zhndo).

The service delivery model provides bimonthly ART to adults, adolescents, and children at eight rural outreach sites, 22.5 to 47 km by poor gravel roads (mean 32.8 km) from CCH (see Fig 1). Outreach visits to refill prescription ART drugs, offer adherence counselling, capture vital signs, and assess problems are scheduled every two months. Community health workers inform and remind the community ART recipients to attend. A team from CCH including a nurse, pharmacy assistant and counsellor travel to the outreach site bimonthly to provide services to community care groups of 200–400 people living with HIV.

Fig 1. Hurungwe district in Northwestern Zimbabwe.

Fig 1

A-map of the Southern part of Africa showing Zimbabwe and surrounding countries; B-map of Zimbabwe showing the Hurungwe District in the Northwestern part of Zimbabwe. The approximate location of Chidamoyo Christian Hospitalis indicated by the white star and the relative locations of five outpatient sites (Batanayi, Magororo, Chedope, Nyamutora, and Zvarai) are indicated by white circles; C-the arrow is pointing to Chidamoyo Christian Hospital. This figure was downloaded online from the Humanitarian Response info website (https://www.humanitarianresponse.info/sites/www.humanitarianresponse.info/files/ZWE).

Statistical analysis

We categorized viral load as suppressed (viral load <1000 copies/ml) or unsuppressed (viral load ≥1000 copies/ml). Age was categorized into three groups: <10 years, 10–15 years and ≥15 years. We grouped primary caregivers as both parents, single parent and other non-parent relatives. Information collected included age, gender, weight, clinical and laboratory data (viral load and CD4 count), ART regimen, ART initiation and co-trimoxazole prophylaxis dates, primary caregiver and site of HIV care (hospital versus outreach). We abstracted data from patient treatment register to a structured data retrieval form. We summarized baseline characteristics using frequencies and proportions for categorical variables and medians for continuous variables stratified by baseline virologic outcomes. Chi-square tests, Fisher exact tests and Wilcoxon rank-sum tests were used to assess associations between baseline characteristics and virologic outcomes where appropriate. We compared viral load suppression profile in this cohort between baseline and follow-up using the chi-square test for marginal homogeneity between the paired viral load assessments. Suppression rates for children and adolescents who were switched and those that remained on non-nucleoside reverse transcriptase inhibitor-based first-line therapy after failing were estimated and compared. To understand the role of switching to protease inhibitor-based second-line ART on viral load suppression at follow-up, we fitted a logistic regression model of follow-up viral load status as a function of baseline viral load and an indicator of switching to second-line or not with an interaction term between the two predictors adjusting for age, gender, HIV care center and primary caregiver. Variables associated with viral load suppression at p < 0.20 in the univariable analysis and clinically relevant variables were added to the multivariable model. All statistical analyses were performed using Stata 15.1 (College Station, Tx).

Ethics approval and consent to participate

This study was first approved by the Institutional Review Board (IRB) of the Biomedical Research and Training Institute and then approved by the Medical Research Council of Zimbabwe (MRCZ/A/2269), the national regulatory and ethical board. Assent was obtained from 7 to 17-years old with guardian consent and those aged ≥18 years provided written consent to extract their past (2016) medical record at enrolment into the study.

Results

Baseline characteristics, HIV treatment and viral load suppression in 2016

There were 306 children and adolescents on ART with a median (IQR) ART duration of 5.2 years (3.0–6.5) in the Chidamoyo treatment program in 2016, median age (IQR) was 12 years (8–15) and 54% were female. Of the 306 children and adolescents enrolled, 222 (73%) received HIV care at one of the eight outreach sites, while 84 (27%) living within 10 km of CCH received care at the hospital clinic. The overall viral load suppression rate was 68% at baseline. There were no significant associations between, age, gender, caregiver, site of treatment (clinic vs outreach) and viral load suppression (Table 1).

Table 1. Baseline characteristics of children and adolescents stratified by baseline viral load suppression (N = 306).

Characteristics Total sampled Baseline Viral load (copies/ml) Unadjusted Odds Ratio (95% CI) Adjusted Odds Ratio [95% CI] p-value
Suppressed Unsuppressed
<1000 ≥1000
N 306 209(68%) 97(32%)

Age group (years)
<10 110 (36%) 71(65%) 39(35%) - -
10–14 107 (35%) 79(74%) 28(26%) 1.55
[0.87–2.77]
0.84
[0.38–1.85]
0.669
15–23 89 (29%) 59(66%) 30(34%) 1.08
[0.60–0.94]
0.52
[0.21–1.28]
0.153

Gender
Female 165 (54%) 117(72%) 48(28%) -
Male 141 (46%) 92(64%) 49(36%) 0.77
[0.47–1.25]
0.80
[0.49–1.30]
0.368
HIV care center Hospital 84 (27%) 61(73%) 23(27%) -
Outreach clinics 222 (73%) 147(66%) 74(33%) 0.75
[0.43–1.31]
0.77
[0.43–1.36]
0.367

Caregiver
Both parents 34 (12%) 24(71%) 10(29%) -
Single parent 142 (51%) 101(71%) 41(29%) 1.03
[0.45–2.34]
Non-parent 105 (37%) 68(65%) 37(35%) 0.77
[0.33–1.77]

ART line
First-line (NNRTI) 296(97%) 202(68%) 94(32%) -
Second-line (PI) (ATV/r or LPV/r) 10 (3%) 7(70%) 3(30%) 1.08
[0.27–4.29]
ART regimen NVP 113(37%) 69(61%) 44(39%) - - -
EFV 183(60%) 133(73%) 50(27%) 1.70
[1.03–2.79]
2.44
[1.11–5.36]
0.026
PI (ATV/r or LPV/r) 10(3%) 7(70%) 3(30%) 1.49
[0.37–6.06]
2.18
[0.47–10.03]
0.317
ART duration (years) Median
(IQR)
5.2
(3.0–6.5)
5.2
(2.8–6.5)
5.2
(3.2–6.5)
0.95
[0.86–1.05]
CD4
(cells/cu mm)
<500 47(31%) 18(38%) 29(62%) - -
≥500 106(69%) 79(75%) 27(25%) 4.71
[2.26–9.81]

ART-Antiretroviral therapy, PI-Protease inhibitor, NNRTI-Non-nucleoside reverse transcriptase inhibitor, NVP-Nevirapine, EFV-Efavirenz, IQR-Interquartile range

There were 296 (97%) on first-line non-nucleoside reverse transcriptase inhibitor-based regimens and 10 (3%) on second-line protease inhibitor-based regimens; 6 on atazanavir/ritonavir and 4 on lopinavir/ritonavir. First-line non-nucleoside reverse transcriptase inhibitor regimens were either nevirapine (113) or efavirenz (183) plus lamivudine combined with a second nucleotide reverse transcriptase inhibitor, either zidovudine (115) or tenofovir disoproxil fumarate (181). The viral load suppression rate for those receiving efavirenz-based regimens (73%) was significantly higher than the viral load suppression rate of those who were receiving nevirapine-based regimens, (61%, adjusted OR = 2.44, 95% CI: 1.11–5.36, p = 0.026) (Table 1).

HIV treatment and viral load suppression in 2018

Two years after the baseline survey, 264/306 (86%) were retained in care through the Chidamoyo program; 23 (7%) had transferred to other ART facilities, 17 (6%) were lost to follow-up (LTFU) and 2 died. We evaluated the characteristics of the 42 not included in follow-up and found that only age was significantly associated with transferring or loss to follow up. Participants who were 15 years and older were more likely to transfer their care or lost to follow up compared to other age categories (11 (10%) for <10 years old, 9 (9%) for 10–15 years old and 20 (22%) for adolescents ≥15 years old, p = 0.008).

At follow-up in 2018, 107/264 (40%) had switched to a protease inhibitor-based regimen and 150/264 (57%) remained on a first-line efavirenz-based regimen while 7 (3%) remained on protease inhibitors. Of those on first-line non-nucleoside reverse transcriptase inhibitor-based regimens, 147/150 (98%) were on single daily full dose combination of tenofovir disoproxil fumarate/lamivudine/efavirenz, only 2 children remained on twice daily dosing of zidovudine/lamivudine/nevirapine and 1 was on tenofovir disoproxil fumarate/lamivudine/nevirapine. One hundred and seven had switched to a protease inhibitor-based regimen and 5 remained on their same protease inhibitor-based regimen, either with lopinavir/ritonavir 90/112 (80%) or atazanavir/ritonavir 22/112 (20%). Of the 107 who changed to a protease inhibitor-based regimen, 39 were suppressed on first-line and 68 had a viral load ≥ 1,000 copies/ml (see Fig 2). The 68 with virologic failure who switched to a protease inhibitor and one new nucleotide reverse transcriptase inhibitor had a significantly lower rate of viral load suppression 45/68 (66%) compared to 39 who were switched to a new protease inhibitor-based regimen while suppressed on the non-nucleoside reverse transcriptase inhibitor, 37/39 (95%) (p = 0.001). Those with viral load suppression who remained on first-line therapy were more likely to maintain viral load suppression compared to those with viral load > 1,000 copies/ml who switched to second-line: 86% vs 74%, respectively (p = 0.047). The odds of being suppressed were higher in children and adolescents who were on non-nucleoside reverse transcriptase inhibitor-based first-line regimens (and had not previously failed) compared to those who were on protease inhibitor-based second-line therapy (OR = 0.44, 95% CI: 0.22–0.90, p = 0.024). There were no significant differences in viral load suppression rates by age group, caregiver, weight, and gender (Table 2).

Fig 2. Longitudinal assessment of viral load measures at baseline and after 18 months of follow-up among 264 children and adolescents.

Fig 2

The regimen changes (from non-nucleoside reverse transcriptase inhibitor to protease inhibitor-based combinations) were based on the Zimbabwe guidelines on formulations, dosing, toxicities, and availability of combination ART in 2017. Virologic failure (≥1,000 copies/ml) at enrollment and follow-up are indicated in red.

Table 2. Characteristics of 264 children and adolescents stratified by viral load suppression at follow up in 2018 (N = 264).

2018–children and adolescents on ART Total sampled (264) Viral load (copies/ml) Unadjusted Odds Ratio [95% CI] Adjusted Odds Ratio [95% CI] p-value
<1000
n = 215
> = 1000
n = 49
Age <10 years 70(27%) 57(81%) 13(19%) -
10 to 15 years 88(33%) 78(89%) 10(11%) 1.78
[0.73–4.34]
1.37
[0.52–3.60]
0.528
>than 15 years 106(40%) 80(75%) 26(25%) 0.70
[0.33–1.48]
0.51
[0.22–1.17]
0.109
Gender Female 144(55%) 121(84%) 23(16%) 0.329
Male 120(45%) 94(78%) 26(22%) 0.69
[0.37–1.28]
0.73
[0.38–1.38]
Site Chidamoyo site 134(51%) 105(78%) 29(22%) 0.156
Outreach site 130(49%) 110(85%) 20(15%) 1.52
[0.81–2.85]
1.60
[0.83–3.09]
ART line NNRTI 150(57%) 129(86%) 21(14%) 0.024
PI 114(43%) 86(75%) 28(25%) 0.50
[0.27–0.94]
0.44
[0.22–0.90]
Care giver Both parents 31(13%) 23(74%) 8(26%)
Single parent 127(52%) 106(83%) 21(17%) 1.76
[0.69–4.45]
Not parent 88(36%) 71(81%) 17(19%) 1.45
[0.55–3.81]
CD4*
(cells/mm3) at follow-up
<500 45(29%) 32(71%) 13(29%)
≥500 111(71%) 95(86%) 16(14%) 2.41
[1.05–5.56]
Weight Median (IQR) 33
(26–46)
34
(26–46)
34
(25–48)
1.00
[0.97–1.03]
2018 Duration on ART (years) Median (IQR) 7.0
(5.2–8.2)
7.2
(5.4–8.2)
6.4
(4.6–7.9)
1.07
[0.93–1.21]

ART-Antiretroviral therapy; IQR- Interquartile range

*CD4 numbers were obtained for 156/264 (59%)

The treatment cascade and virologic outcomes between 2016 and 2018

Among 175 with viral load suppression in 2016 on a first-line non-nucleoside reverse transcriptase inhibitor-based regimen, 136 (78%) remained on a first-line non-nucleoside reverse transcriptase inhibitor-based regimen, mostly as a single tablet regimen combining tenofovir disoproxil fumarate/lamivudine/efavirenz with 122/136 (90%) suppressed in 2018 as shown in Fig 2. Similarly, of the 39 who were suppressed in 2016 and switched to a protease inhibitor-based regimen, 37/39 (95%) were virological suppressed in 2018. Of the 68 unsuppressed children and adolescents on a first-line non-nucleoside reverse transcriptase inhibitor-based regimen, in 2016 who switched to a protease inhibitor, only 45 (66%) achieved virologic suppression compared to 7/14 (50%) among those failing at baseline who remained on first-line ART (p = 0.252). Among the 179 suppressed adolescents and children at baseline, 161 (90%) remained suppressed in 2018. Overall, the proportion of children achieving viral load suppression at follow-up was significantly higher than at baseline (81% vs. 68%, p<0.001).

Factors associated with viral load suppression of children and adolescents at follow-up

Table 3 presents the adjusted effect of switching to protease inhibitor-based ART on virologic outcomes for children and adolescence who were on first-line non-nucleoside reverse transcriptase inhibitor-based therapy at baseline. Among the children and adolescents who switched, 77% (82/107) were suppressed compared to 86% (129/150) among children who were maintained on a first-line regimen. Adjusting for baseline viral load, age, gender, site of HIV care and caregiver, switching to second-line ART was not significantly associated with viral load suppression at follow-up (adjusted OR = 2.71, 95% CI: 0.99–7.44, p = 0.053). Viral load suppression at follow-up was significantly and independently associated with baseline viral load suppression (adjusted OR = 9.37, 95% CI: 3.62–24. 26) p<0.001). Viral load suppression rates did not differ significantly by age group, gender, HIV care site nor primary caregiver.

Table 3. Factors associated with viral suppression of children and adolescents at follow-up (N = 257).

Characteristics Viral suppression n/N (%) Unadjusted Odds Ratio [95%CI] Adjusted Odds Ratio [95% CI] p-value
Overall 211/257(82.1%)
Switched to a PI
No 129/150 (86%) 1 1 -
Yes 82/107 (76.6%) 0.53 [0.28–1.02] 2.71 [0.99–7.44] 0.053
Baseline viral load
Failure (> = 1000 copies/ml) 52/82 (63.4%) 1 1 -
Suppressed (<1000 copies/ml) 159/175(90.9%) 5.73[2.90–11.35] 9.37 [3.62–24.26] <0.001
Age group (years)
<10 56/69 (81.2%) 1 1 -
10–14 76/86 (88.4%) 1.76 [0.72–4.31] 2.37 [0.83–6.77] 0.106
15–23 79/102 (77.5%) 0.80 [0.37–1.71] 1.00 [0.39–2.55] 0.997
Gender
Female 119/140 (85.0%) 1 1 -
Male 92/117 (78.6%) 0.65 [0.34–1.23] 0.83[0.40–1.70] 0.606
HIV care site
Hospital 104/131 (79.4%) 1 1 -
Outreach 107/126 (84.9%) 1.46 [0.77–2.79] 1.70 [0.80–3.358] 0.165
Caregiver
Both parents 23/31 (74.2%) 1 1 -
Single parent 104/123 (84.6%) 1.90 [0.74–4.88] 2.07 [0.71–6.02] 0.184
Non-parent 69/85 (81.2%) 1.50 [0.57–3.96] 1.86 [0.60–5.72] 0.280

CI- Confidence interval, PI-Protease inhibitor

Discussion

Viral load monitoring and drug switching (from a first-line non-nucleoside reverse transcriptase inhibitor-based regimen to a second-line protease inhibitor-based regimen) in a community-based ART clinic and outreach treatment increased viral load suppression among children and adolescents in rural Zimbabwe. We found that, suppression increased from 68% in 2016 to 81% in 2018 in a population of economically marginalized children and adolescents in an impoverished rural community in Mashonaland West province. Implementing viral load testing in the context of community-based health service delivery was effective in managing ART and sustaining viral load suppression among children and adolescents, with < 1% mortality and 3% LTFU per year. The change in viral load suppression may be explained by access to viral load testing, increasing use of generic single tablet regimens and more effective drug formulations. Nevirapine and zidovudine were phased out and single tablet regimens of tenofovir disoproxil fumarate/lamivudine/efavirenz was frequently used with the transition from the 2013–2016 guidelines [33].

Viral load testing did not uniformly lead to switching to a second-line protease inhibitor-based regimen. Among the 82 children and adolescents with a viral load ≥1000 on first-line ART at baseline, 68/82 (83%) switched to the recommended second-line and only 14 of 82 (17%) did not. However, of the 14 who on continued first-line with adherence counseling, 7/14(50%) re-suppressed on follow-up testing. This is consistent with studies in Zimbabwe, Ethiopia and South Africa, where re-suppression among first-line failures with adherence counseling alone was reported in 30–60% [26,3436]. These observations provide support for WHO and recent national guidelines which recommend enhanced adherence counseling and a second viral load test>1,000 copies/ml to confirm virologic failure before switching to a protease inhibitor-based or third-line regimen [10].

Switching to more effective ART regimens in impoverished communities includes the economics and logistics of viral load testing and the prompt return of viral load results [10,37,38]. This is even more relevant and critical in rural areas where viral load testing and technology are often unavailable. Distance from the centralized, urban laboratories running the tests is a formidable barrier to rapid response and adds months to the time to switch in case of failure [39]. Challenges such as electricity availability and status of the roads were demonstrated by viral load quantification in rural sites in Zimbabwe in 2016, which required collection of whole blood and immediate transport on cold chain to a central laboratory. Point of care (POC) viral load assays are emerging [39,40] with evidence of clinical utility, and the Ministry of Health and Child Care implemented SAMBA-II [31,32,41] in Zimbabwe including CCH. This allowed the evaluation of its performance and turn-around time at the site. With four units and a trained laboratory technologist, the SAMBA overcame challenges encountered in central laboratory testing by providing accessible viral load testing in near real time, although throughput was limited to no more than 16–20 samples/day. The value of the SAMBA as a POC viral load test was apparent when torrential rains knocked out power for more than 2 weeks and many roads and bridges became impassable. The SAMBA-II, using solar and battery power, could provide results of samples collected at the clinic or community-based ART outreach sites within 24–48 hours.

Despite the advantages of the SAMBA-II POC viral load test and the successful implementation in rural Zimbabwe, sustaining POC viral load testing may be limited by reagent, equipment and information flow through a laboratory supply chain [42,43]. Moreover, the semi-quantitative SAMBA assay reports virologic failure only for samples that exceed 1000 copies/ml [2931]. This is in contrast to high throughput centralized laboratory testing, which achieves lower limits of detection of <50 copies/ml and provides quantification greater than 3 log10 copies/ml. With the Roche COBAS® Ampliprep®/COBAS® Taqman48® HIV-1 v2.0 assay in 2016, we observed low level viremia (>50 and < 1,000 copies/ml) in only 8% of children and adolescents, more frequently among protease inhibitor recipients. Although the clinical significance of low level viremia is controversial [44,45], the SAMBA II cut-off is consistent with current WHO recommendations for monitoring viral load suppression in LMICs [10].

Studies in LMICs have shown that virologic failure of first-line ART is associated with reverse transcriptase inhibitor resistance [2123,46]. Switching from a first-line non-nucleoside reverse transcriptase inhibitor-based regimen to a second-line protease inhibitor-based regimen calls for continued administration of lamivudine and substitution of a new nucleotide reverse transcriptase inhibitor in the new regimen [10]. However, in public health ART programs in Africa, drug stockouts and limited drug availability limit strict adherence to these guidelines [47,48]. Nevertheless, children and adolescents who have failed first-line therapy demonstrated favorable suppression rates on switching to a second-line protease inhibitor-based regimen [30,49]. Here, children and adolescents were changed from nucleotide reverse transcriptase inhibitor fixed dose combinations of tenofovir disoproxil fumarate and lamivudine to abacavir and lamivudine in second-line. The response to a new nucleotide reverse transcriptase inhibitor in the presence of the drug resistance mutations M184V and K65R is predicted to be sub-optimal [23]. Nevertheless, the response to lopinavir/ritonavir or atazanavir/ritonavir and 2 nucleotide reverse transcriptase inhibitors is consistent with studies of adults in Africa where nucleotide reverse transcriptase inhibitor resistance has been found to have little impact on second-line protease inhibitor-based regimens [5054]. A limitation of the study is that drug resistance testing was not performed on patients failing ART [55].

Sustaining long-term ART and viral load testing in rural Africa in children and adolescents requires innovative approaches to DSD to reduce costs and to improve adherence and retention in care [27,28]. These include youth-friendly clinics [56,57] and CBART, in which patients receive drug refills, adherence counseling and monitoring at non-clinic outreach sites [5860]. Differentiated service delivery and monitoring in the community may provide more cost-effective and less clinic intensive modes of ART delivery for adolescents and children [29,61,62].

Conclusions

These observations in rural Zimbabwe show that community-based viral load POC testing and second-line ART for children and adolescents in rural communities is feasible and effective.

Supporting information

S1 Data. Data file supporting results of the analyses reported in this study.

(XLSX)

List of abbreviations

ART

Antiretroviral Therapy

CBART

Community Based ART

HIV

Human Immunodeficiency Virus

LTFU

Lost to follow up

NNRTI

Non-Nucleoside Reverse Transcriptase Inhibitors

NRTI

Nucleoside Reverse Transcriptase Inhibitors

PI

Protease Inhibitors

3TC

Lamivudine

AZT

Zidovudine

ABC

Abacavir

TDF

Tenofovir disoproxil fumarate

LPV/r

Lopinavir/ritonavir

ATZ/r

Atazanavir/ritonavir

POC

Point of care

VL

Viral load

VL suppression

Viral load suppression

DSD

Differentiated service delivery

Data Availability

All relevant data are within the manuscript and its Supporting Information files.

Funding Statement

Gilead Sciences Inc. provided support for this study in the form an Investigator Sponsored Research award to SM and DK (ISR-17-10142) and salaries to DI and MB. The specific roles of these authors are articulated in the ‘author contributions’ section. The funder critically reviewed the manuscript, but had no other role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Joseph Fokam

17 Aug 2020

PONE-D-20-20773

Viral load-differentiated care of HIV-1 infected children and adolescents – a prospective longitudinal study in rural Zimbabwe.

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3.1. Please provide an amended Funding Statement declaring this commercial affiliation, as well as a statement regarding the Role of Funders in your study. If the funding organization did not play a role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript and only provided financial support in the form of authors' salaries and/or research materials, please review your statements relating to the author contributions, and ensure you have specifically and accurately indicated the role(s) that these authors had in your study. You can update author roles in the Author Contributions section of the online submission form.

Please also include the following statement within your amended Funding Statement.

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The review has been uploaded in pdf format to ORCID for PLOS ONE.

The review has been uploaded in pdf format to ORCID for PLOS ONE.

The review has been uploaded in pdf format to ORCID for PLOS ONE.

The review has been uploaded in pdf format to ORCID for PLOS ONE.

Reviewer #2: The manuscript by Mapangisana and colleagues reports on a prospective study of ART treatment implementation in rural Zimbabwe. The following comments are offered for their consideration.

-This is an effective, well done study of a reasonably large cohort of youth, who are known to face challenges with long term treatment.

-The authors should carefully review Table I and Figure 2 for consistency and agreement. For example, Table I seems to list 202 participants with baseline VL suppression who were on first line NNRTI while Figure 2 states the number at 175.

-Line 168: it is of interest for the reader to know how well attended were the bimonthly counselling and outreach sessions

-Forty-two baseline participants were not in the follow-up cohort. Were their characteristics similar or different from the follow-up cohort?

-Viral load testing did, indeed, appear to be beneficial for care. However, it was not used as the sole criteria for switching, as some baseline VL suppressors switched, and some baseline VL failures stayed on their original first line assignment. The authors might consider making this point in the discussion.

-It appears that this cohort experience emphasizes the concept of a ’poor adherence phenotype’ (baseline VL failure with substantial post-switch VL failure) and a ‘good adherence phenotype’ (with baseline VL suppression, likely to remain suppressed no matter whether maintaining first line or switching).

-Table 2/CD4: while the numbers listed are likely accurate, it is not clear that they are what the reader might be interested in. One would like to know how the CD4 counts were distributed in those with VL suppression s VL failure. It appears that not all subjects have CD4 data available. For example, among the 215 VL suppressors, there are only 127 listed with values for CD4. This can be somewhat confusing and bears clarification.

**********

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Reviewer #1: Yes: Hartmut M. Hanauske-Abel

Pediatrics; Microbiology, Biochemistry & Molecular Genetics; Obstetrics, Gynecology & Women's Health

Rutgers NJMS

Reviewer #2: No

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Attachment

Submitted filename: Review of PONE-D-20-20773, HM Hanauske-Abel.pdf

PLoS One. 2021 Jan 14;16(1):e0245085. doi: 10.1371/journal.pone.0245085.r002

Author response to Decision Letter 0


13 Oct 2020

Response to reviewers’ comments

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at

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Response: The authors have ensured that the manuscript meet PLOS ONE requirements

2. We note that Figure 1 in your submission contain map images which may be copyrighted. All PLOS content is published under the Creative Commons Attribution License (CC BY 4.0), which means that the manuscript, images, and Supporting Information files will be freely available online, and any third party is permitted to access, download, copy, distribute, and use these materials in any way, even commercially, with proper attribution. For these reasons, we cannot publish previously copyrighted maps or satellite images created using proprietary data, such as Google software (Google Maps, Street View, and Earth). For more information, see our copyright guidelines: http://journals.plos.org/plosone/s/licenses-and-copyright. We require you to either (1) present written permission from the copyright holder to publish these figures specifically under the CC BY 4.0 license, or (2) remove the figures from your submission:

Response: Figure 1 was constructed from available caption/map from the Ministry of Health Zimbabwe database. Hence, it is similar but not identical to the original image as it contains the specific study sites inserted by the authors. The authors have specified this in the Figure 1 caption.

3. Thank you for stating the following in the Financial Disclosure section:

"Funding for the study was provided as Investigator Sponsored Research (ISR-17-10142) from Gilead Sciences Inc., Foster City Ca. TM and RM received support from the Fogarty International Centre of the National Institutes of Health (D43TW010547). TM was supported by DELTAS Africa Initiative SSACAB (Grant No. 107754/Z/15/Z) of the African Academy of Sciences (AAS) Alliance for Accelerating Excellence in Science in Africa (AESA), New Partnership for Africa’s Development Planning and Coordinating Agency (NEPAD Agency) and the Welcome Trust (Grant No. 107754/Z/15/Z) and the UK government. The views expressed in this publication are those of the authors and not necessarily those of other parties mentioned in this publication." We note that one or more of the authors have an affiliation to the commercial funders of this research study: Gilead Sciences Inc.

3.1. Please provide an amended Funding Statement declaring this commercial affiliation, as well as a statement regarding the Role of Funders in your study. If the funding organization did not play a role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript and only provided financial support for research materials. in the form of authors' salaries and/or research materials, please review your statements relating to the author contributions, and ensure you have specifically and accurately indicated the role(s) that these authors had in your study. You can update author roles in the Author Contributions section of the online submission form. Please also include the following statement within your amended Funding Statement. “The funder provided support in the form of material support for salaries for authors [insert relevant initials] but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.” If your commercial affiliation did play a role in your study, please state, and explain this role within your updated Funding Statement.

Response: The authors have modified the funding statement to "Funding for the study to SM and DK was provided as Investigator Sponsored Research (ISR-17-10142) from Gilead Sciences Inc., Foster City Ca. Gilead Sciences which did not play a role in the study design, data collection and analysis or decision to publish. DI and MB are employees of Gilead Science and critically reviewed the manuscript but did not play a role in the decision to publish. TM and RM received support from the Fogarty International Centre of the National Institutes of Health (D43TW010547). TM was supported (research materials plus salary) by DELTAS Africa Initiative SSACAB (Grant No. 107754/Z/15/Z) of the African Academy of Sciences (AAS) Alliance for Accelerating Excellence in Science in Africa (AESA), New Partnership for Africa’s Development Planning and Coordinating Agency (NEPAD Agency) and the Welcome Trust (Grant No. 107754/Z/15/Z) and the UK government, See highlighted in manuscript lines 394-405.

3.2. Please also provide an updated Competing Interests Statement declaring this commercial affiliation along with any other relevant declarations relating to employment, consultancy, patents, products in development, or marketed products, etc. Within your Competing Interests Statement, please confirm that this commercial affiliation does not alter your adherence to all PLOS ONE policies on sharing data and materials by including the following statement: "This does not alter our adherence to PLOS ONE policies on sharing data and materials.” (as detailed online in our guide for authors http://journals.plos.org/plosone/s/competing-interests). If this adherence statement is not accurate and there are restrictions on sharing of data and/or materials, please state these. Please note that we cannot proceed with consideration of your article until this information has been declared.

Response: The authors have provided an updated Competing Interests Statement declaring this commercial affiliation along with any other relevant declarations relating to employment, consultancy, patents, products in development, or marketed products, etc. The authors also provided an amended Funding Statement declaring this commercial affiliation, as well as a statement regarding the Role of Funders in the study on the online submission forms. DI and MB are employees of Gilead sci. They have no competing interest with respect to consultancy, patents or products marketed or in development and there are no restrictions on sharing of data, all data from the study is freely available.

Reviewer #2 responses

1. The authors should carefully review Table I and Figure 2 for consistency and agreement. For example, Table I seems to list 202 participants with baseline VL suppression who were on first line NNRTI while Figure 2 states the number at 175.

Response: Table 1 gives information on the 306 participants who were enrolled in this study. Of the 306 participants, 202 were suppressed on first line regimens. Figure 2 describes these 202 participants who were eventually followed in 2018. Thus, out of the 264 participants who were followed, 175 (68.1%) were suppressed on first line ART regimens.

2. Line 168: it is of interest for the reader to know how well attended were the bimonthly counselling and outreach sessions

Response: The bimonthly counselling and outreach sessions were amazingly well attended by most of the participants and their care givers.

3. Forty-two baseline participants were not in the follow-up cohort. Were their characteristics similar or different from the follow-up cohort?

Response: A revision has been made to line 229-235. We evaluated the characteristics of the 42 participants who were not included in the follow-up and found that only age was significantly associated with transferring or loss to follow up. Participants who were at least 15 years of age were more likely to transfer their care or lost to follow up.

4. Viral load testing did, indeed, appear to be beneficial for care. However, it was not used as the sole criteria for switching, as some baseline VL suppressors switched, and some baseline VL failures stayed on their original first line assignment. The authors might consider making this point in the discussion.

Response: The authors agree with the reviewer that the viral load testing was not the sole criteria for switching. In the discussion (lines 308-316), we note that PI switching for virologic failure was not uniform although most (83%) of first line failures were switched and only 17% were not.

5. It appears that this cohort experience emphasizes the concept of a ’poor adherence phenotype’ (baseline VL failure with substantial post-switch VL failure) and a ‘good adherence phenotype’ (with baseline VL suppression, likely to remain suppressed no matter whether maintaining first line or switching).

Response: We agree that baseline VL suppression predicted follow-up suppression no matter whether maintaining first line or switching. However we did not capture individual adherence measures, although adherence counselling was provided at each 2 monthly visit as drugs were dispensed, Thus as the reviewer notes, we found that baseline viral load suppression is the most significant, independent predictor of VL suppression at follow-up as shown in Table 3 and in line 280-289.

6. Table 2/CD4: while the numbers listed are likely accurate, it is not clear that they are what the reader might be interested in. One would like to know how the CD4 counts were distributed in those with VL suppression s VL failure. It appears that not all subjects have CD4 data available. For example, among the 215 VL suppressors, there are only 127 listed with values for CD4. This can be somewhat confusing and bears clarification.

Response: We agree with the reviewer that this is confusing. In fact, 41% of the CD4’s for participants were missing. Thus, this variable was excluded from the multivariate model. We have indicated missingness as a footnote to Table 2.

1. It is disturbing to see the authors classifying themselves into two separate groups that, though apart for unspecified reasons, nevertheless state each had contributed equally to the manuscript: Are the unspecified contributions of the first-named group (line 27) ‘separate but equal’ to those of the second-named &group (line 28) and therefore identical with the once legal principle of racism and discrimination in the United States ? That principle has been discredited. Or is the first-named group claiming to be ‘more equal’ than the second-named & group, reminiscent of Orwell’s Animal Farm ? Disturbingly, not a single one of the authors in the first-named group states that their primary affiliation is anchored at an institution in Zimbabwe. In the second-named &group of 10 authors, by contrast, those with Zimbabwean names and / or institutional affiliations predominate by a ratio of 9/1. This separation into two classes of authors is evident on the title page. The authors must find a way to put an end to such apartheid. I suggest they follow PLOS convention and specify select categories of contributions, e.g. similar to the ones in ref. [2]:

Response: The authors have rearranged and specified the authors contributions as per PLOS one guidelines. Number 1 being the main author and other co-authors. The authors contribution was summarised as in table below:

Table 1: Authors contributions

Contributor Role Authors

Conceptualization TM, DK, RM

Data Curation TM, RM

Formal Analysis TM RM

Funding Acquisition DI, MB

Investigation CM, TS, VK, JM6,7

Methodology DK, RM

Project Administration KM, SM, JR M

Resources KM, DK, SM,

Software TM RM

Supervision SM, KM

Validation JM6,7, JM4

Visualization MM

Writing – Original Draft Preparation DK, TM, VK, RM

Writing – Review & Editing DI, MB

JM6,7 - Justen Manasa , JM4- Junior Mutsvangwa

2. The title of PONE-D-20-20773 specifically states that this is a “prospective longitudinal study” that ran from 2016 to 2018. On close reading, in particular of the Methods section on ‘HIV VL testing’, it appears that the 2018 segment of the study rests entirely on data obtained as part of CBART (Community Based Virus Load Differentiated Care in Rural Africa). But CBART did not exist in 2016, the initial year of the findings reported in PONE-D-20-20773. How then might it be possible that a two-year “prospective longitudinal study” is IRB-approved in 2016, at its inception, yet uses clinical protocol and data of CBART, which started years later, on February 1, 2018. From a 2016 IRB perspective, CBART represents an extrinsic and later protocol. This fact, in turn, might raise the added complication of post-hoc analysis of data, up to and including the possible prospect that PONE-D-20-20773 itself could, from its 2016 start, not be a strictly true and genuine “prospective longitudinal study”.

The Methods section on ‘Ethics approval and consent to participate’ does neither address nor resolve the conundrum of how the 2018 CBART dovetails with the 2016 IRB approval of PONE-D-20-20773. Rather, the formal introduction of two different IRB approvals - “by the Medical Research council of Zimbabwe (MRCZ/A/2269) and by the Biomedical Research Training Institute IRB (AP143/2018)” – further enhances this conundrum: Where participants enrolled in MRCZ/A/2269 and in AP143/2018 ?

Did all the patients / parents sign two different assent /consent forms?

No only the consent form signed is for the MRCZ approved study

An attentive reader is left with the impression that PONE-D-20-20773 might have been skilfully tiled and assembled from different protocols

If this should be so, this fundamental ethics issue might be resolved properly by, and might require, an IRB approval for human data use.

To address this matter objectively, I suggest that the currently unavailable and inaccessible IRB approvals MRCZ/A/2269 and AP143/2018 are uploaded to the PLOS ONE submission site for review. They are not disclosed at this time, just cite

Such an IRB approval for ‘data tiling and compiling’ will leave another conundrum unresolved, however: The CBART study, which supposedly completed in February 2020, specifically defines the identification of “drug resistance mutations” as one of its two Secondary Outcome Measures, the other one being the “Number of participants with confirmed virology failure who switched regimens. Change to second line regimen after confirmed virological failure” (see: https://clinicaltrials.gov/ct2/show/NCT03986099). Yet PONE-D-20-20773, which rests on that very CBART study, states “that drug resistance testing was not performed on patients failing ART” (line 351). The authors themselves instantly recognize this to be “a limitation of the study” (line 350). The authors leave utterly unmentioned that mutation analysis is integral to CBART. This raises questions: Why do they not use CBART data on “drug resistance mutations”, available at least per protocol, in a manner that renders PONE-D-20-20773 as strong scientifically as it could and should be? Are certain CBART data too good for PONE-D-20-20773? Is it really the authors’ choice to submit to PLOS ONE a manuscript for publication that, in their words, is weakened by their own choosing? The authors must resolve these conundrums.

Response: The authors agree with the reviewer and apologize for the word prospective. The CBART Study indeed started in 2018 and assent/consent was obtained from the participants to extract their past (2016) clinical records. The authors have removed the word Prospective in the study design and have revised the ethical approval section for better clarity (See highlighted line 201-205). This specific paper focuses on the baseline Viral load (2016 Baseline viral load) of the enrolled participants, data on objectives of the CBART study are still being curated.

The IRB approval from the BRTI -AP143/2018 is an institutional review that precedes the consent and enrolment form MRCZ/A/2269, the national regulatory and ethical IRB which approved the study. The study was first approved by the institution before it proceeds to the national regulatory and ethical board.

The conundrum is an important question, with a simple answer. The CBART study is a randomized trial of POC and SOC virus load testing, with the secondary endpoints (rate of drug switching and resistance testing). PONE-D-20-20773 includes only the CBART enrolment virus load data obtained between Feb 2018-and September 2018. The full CBART study (see: https://clinicaltrials.gov/ct2/show/NCT03986099) includes resistance testing of the prospectively enrolled and followed “confirmed virologic failures” as noted by the reviewer. The period in the longitudinal study PONE-D-20-20773, did not include resistance testing and this is recognized as limitation of the longitudinal study (lines 356-357). “A limitation of the study is that drug resistance testing was not performed on patients failing ART”

3. Per the WHO HIV Treatment Guidelines and academic publications (see [2]), a core aspect of viral load-differentiated care is to “both serve the needs of PLHIV (people living with HIV) better and reduce unnecessary burdens on the health system” [1], to “reduce the frequency of clinic visits for patients stable on ART” with “anticipated reductions in the costs of clinic visits, due to these being less frequent for many patients”[2]. Consequently, “differentiated care models could decrease health systems costs in 38 countries in sub-Saharan Africa” [3]. This decisive aspect of viral load-differentiated care is entirely absent from PONE-D-20-20773, and its focus on just viral load management makes the study almost a description of routine clinical decisions – clearly, every doctor entrusted with the care of HIV patients will adjust the ARV regimen in response to viral load. By focusing on viral load-differentiated care, the authors have given themselves the burden of showing more than just viral load responses, and they have to answer simple questions like ‘Did the patients who responded to viral load-differentiated care in actual fact require fewer clinic visits, fewer medical resources, and did they have fewer days lost at school, fewer hours lost on the way to clinic, fewer hours wasted while waiting to be seen by the medical team ? ‘If the authors can create a clinic-based quantitative monetary parameter, even better (e.g. costs, ‘how many bandages used? ’, etc.)

I respectfully submit it might be possible to read some of the answers to such questions, essential to viral load-differentiated care, off the medical charts of enrolled patients. The inclusion of such data will turn this manuscript into a reality-based contribution to the discussion on resource utilization in viral load-differentiated care. I encourage the authors to make that effort.

Response: The authors agree with the reviewer, this paper focuses on the 2016 baseline characteristics and follow-up VL of the participants enrolled in the CBART protocol in 2018. For PONE-D-20-20773, the authors have removed the word “differentiated” VL throughout the manuscript as the management of participants was ecological and treatment decisions were made by nurse-providers at Chidamoyo Hospital.

4. I note a number of the usual diligence issues that reviewers like to discover as evidence of their own diligence, such as spelling and capitalization (e.g. line 10: ‘Cape town’), bringing references up to date and into PLOS format (e.g. ref. 12 is one of many that lack the specified format), improving the pixilation of images (e.g. Fig. 1 lacks the proper resolution), and clarifying graphics (e.g. Fig. 2: Why were patients with VL < 1000 switched to 2nd line ? Why were patients with VL ≥ 1000 maintained on 1st line?).

Response: Cape Town line 10 was corrected. All the references including reference 12 were revised and updated according to PLOS ONE reference format. The pixilation of images was also improved. With regard to figure 2, the changes in regimens were identified in 2017 through chart review. We have attached a figure legend which includes:

Longitudinal assessment of VL measures at baseline and after 18 months of follow-up among 264 children and adolescents. The regimen changes (from NRTI to PI-based combinations) were based on the Zimbabwe guidelines on formulations, dosing, toxicities, and availability of combination ART in 2017.

Attachment

Submitted filename: Response to reviewers.docx

Decision Letter 1

Joseph Fokam

3 Dec 2020

PONE-D-20-20773R1

Viral load care of HIV-1 infected children and adolescents: a longitudinal study in rural Zimbabwe.

PLOS ONE

Dear Dr. Mapangisana,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Jan 17 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

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If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols

We look forward to receiving your revised manuscript.

Kind regards,

Joseph Fokam, Ph.D

Academic Editor

PLOS ONE

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: I have given a detail comment in the pdf file.

Please see the uploaded pdf file

Please see the uploaded pdf file

Reviewer #2: (No Response)

**********

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If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Hartmut M. Hanauske-Abel, MD PhD

Reviewer #2: No

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

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Attachment

Submitted filename: PONE-D-20-20773_R1_reviewer HMHA.pdf

PLoS One. 2021 Jan 14;16(1):e0245085. doi: 10.1371/journal.pone.0245085.r004

Author response to Decision Letter 1


13 Dec 2020

PONE-D-20-20773-R1

Second review of Tichaona Mapangisana et al.

Viral load care of HIV-1 infected children and adolescents: a longitudinal study in rural Zimbabwe.

The authors’ revisions are sincerely appreciated.

Before proceeding, I wish to respectfully submit to the authors to kindly consider that with their decision to submit to PLOS ONE, their paper is no longer directed to a specialty audience, as was their presentation to the 11th International Workshop on HIV Pediatrics in July last year on which their manuscript is based (Abstract #51, http://regist2.virology-education.com/abstractbook/2019/abstractbook_Pediatrics2019.pdf ). They now have elected to place themselves onto a different and much elevated stage. In order to earn the full impact that this stage offers and that their effort deserves, they need to leave the previous small format and its specialty language well behind, they need to raise their voice, need to argue additional context and attract the attention of a much wider public with clarity, diligence, and precision. I encourage them to re-examine their manuscript from the much more global perspective of a much more global audience.
In that contact, I wish to advance the following suggestions for their consideration:

1. Foremost, the authors must put the Chidamoyo Hospital data documenting “suppression increased from 68% in 2016 to 81% in 2018 ” into a context that a non-African and non-HIV specialist audience understands and can appreciate. Writing “Whole blood
154 samples were transported to Harare (300 km one-way trip)” is just not enough and invites imagery of car rides on autobahn and interstate, at least

of driving on asphalted roads ... Not so.

The authors MUST detail the setting of that hospital - the next major asphalted road is hours away, the remote rural population it serves is economically so disenfranchised that wearing of soled leather shoes is unheard of, per capita income is even less than the $2000 annual that 50% of Zimbabweans earn (https://www.averagesalarysurvey.com/zimbabwe, https://en.wikipedia.org/wiki/Economy_of_Zimbabwe). In fact, just a few months ago one of the authors was forced at gun point to open the safe of Chidamoyo Hospital at 4 AM and surrender the institution’s opulently rich cash reserve of USD $1700 – to a dozen desperately impoverished soldiers of the Zimbabwe National Army (ZNA) who, when caught by police and handed back to the ZNA, promptly found the military’s cover and support (https://www.zimbabwesituation.com/news/12-armed-robbers-arrested-after-robbing- chidamoyo-mission-hospital/ ; http://newsofthesouth.com/new-twist-to-chinhoyi-zna- officers-armed-robbery-case/ ).

I respectfully submit that the degree of poverty in the authors’ study population is beyond the imagination of the very most readers of PLOS ONE. As is the extent of HIV in the study population; and likewise the extent of tuberculosis in consequence of HIV.
Under such conditions, to achieve “suppression increased from 68% in 2016 to 81% in 2018 ” in a population of economically marginalized adolescents in the remote hill country of Northern Zimbabwe is a most extraordinary achievement in the fight against a global vial epidemic; even more so is the data collection and the scientific analysis of the authors - - not just 1

PONE-D-20-20773-R1

relevant in the HIV context, but also relevant in the tuberculosis context, an aspect that MUST be introduced in the Discussion (and yes, Chidamoyo Hospital also treats HIV-TB and TB patients).
Making pills to fight HIV globally and making vaccines to fight SARS-Cov-2 globally has no effect on these viral pandemics. For effect, we need institutions like Chidamoyo Hospital. For effect, we need nurses, physicians, and scientists exactly like these authors.

Their voice must be heard.
I encourage the authors not to hesitate in making the explicit connection to SARS-Cov-2 in their Discussion – who else is there to administer the SARS-Cov-2 vaccines and to capture the data of that vaccine’s effect but nurses, physicians, and scientists like them? Their manuscript is not just HIV health care delivery, it is implicitly a model of anti-viral health care delivery where it counts most – no one is safe until we all are.
The authors should consider that SARS-Cov-2 is anticipated to devastate Zimbabwe (https://www.un.org/africarenewal/news/coronavirus/covid-19-could-prove-“disastrous”- zimbabwe-undp-study-finds ; https://allafrica.com/stories/202010230244.html ; https://allafrica.com/stories/202010080945.html ). They have proven that they can deliver anti-viral care under conditions of extreme poverty, and they should spell it out.
A few low-key sentences in the Discussion, with pointers already in the Introduction, are sufficient.

Response: Thank you very much. The authors share the reviewer’s enthusiasm for all the work done by the Chidamoyo Christian hospital. The authors have added description of the impoverished circumstances in rural Zimbabwe specifically the extreme poverty as described by the National Zimbabwe statistical Center. See highlighted under study setting lines 163-166.

The authors have added a brief summary of the medical services provided by Chidamoyo Christian Hospital. See highlighted under study setting lines 165-172 and a link to a video presentation on Chidamoyo.

We thank the reviewer for highlighting the findings important to HIV care in a disadvantage population. We have added the sentence “We found that, suppression increased from 68% in 2016 to 81% in 2018 in a population of economically marginalized children and adolescents in an impoverished rural community in Mashonaland West province”. See highlighted in the discussion section lines 329-331.

In the third paragraph, we have emphasized on the economic and logistic challenges in delivering ART in rural communities. See highlighted lines 349-359. This paragraph points out the challenges of transport, distance and basic infrastructures.

2. The map on the location of the hospital and the area it serves still is far from optimal and not meeting PLOS standards. May I be allowed to offer the authors a graphical proposal (attached). The approximate location of Chidamoyo Hospital is indicated by the white star; the relative locations of the five outpatient sites Batanayi (not ‘Batanai’ !), Magororo, Chedope, Nyamutora, and Zvarai are indicated by white circles as transcribed from the cartographic identifiers provided in https://www.humanitarianresponse.info/sites/www.humanitarianresponse.info/files/ZWE_ MashWest_Province_A0_v1.pdf .

Response: The authors appreciate the value of the attached figure and have included this rather than the original figure. Thank you very much.

3. Please aim for an abbreviation-minimized reading experience. Remove from the text (not the tables) whenever possible any HIV specialist letter salad and alphabet soup like VL, NNRTI, 3TC, EFV, TDF/3TC/EFV and even TDF +3TC +NVP – please consider typing out the actual names - - you write for a broad audience!
Please check again spelling infelicities and like imprecisions. PLOS does not do text editing
and proof-reading, that is your responsibility! Please be diligent and consistent to the
extreme – it is either “second-line” or “second line”!

Response: Thank you for this. We have minimized abbreviations throughout the manuscript and be consistent with hyphenation of second-line.

4. In the Introduction the statement of the Results “switched to second-line boosted PI ART with abacavir” clashes with the immediately following statement in the Conclusion “switching to second line ritonavir boosted PI-based ART” – what is it: abacavir or ritonavir? This clash is repeated later in the text. Please address and resolve.

I suggest one more round of review. Hartmut M. Hanauske-Abel, MD PhD.

Response: Thank you. The reviewer should note that, second-line protease inhibitor (PI)-based regimens are always “boosted” meaning that they are co-formulated with a low dose of ritonavir. Abacavir and lamivudine are nucleotide reverse transcriptase inhibitors included in second-line regimens. We have resolved this ambiguity in the abstract and throughout the manuscript. See highlighted lines 64 and 67-68.

Attachment

Submitted filename: Response to reviewers comments.docx

Decision Letter 2

Joseph Fokam

22 Dec 2020

Viral load care of HIV-1 infected children and adolescents: a longitudinal study in rural Zimbabwe.

PONE-D-20-20773R2

Dear Dr. Mapangisana,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Joseph Fokam, Ph.D

Academic Editor

PLOS ONE

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Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

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The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

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PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

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6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: I appreciate the good work, dedication, and responsiveness of the authors.

I respectfully submit for their consideration that, notwithstanding the readability of their manuscript, there still are options to polish the text, e.g. with regard to punctuation. As senior author and experienced 'editorial polisher and polished editor', Prof. Katzenstein might be willing to have a final go at the text and make it shine for eternity.

The authors and PLOS ONE staff should not hesitate to contact me at hanaushm@mac.com in case further graphics work (resolution or pixelation issues, letter sizes and placement etc.) be needed for Figure 1.

I am ready to assist.

Thank you.

H

Reviewer #2: Responses to reviewers is well done. Nice manuscript which should be a good contribution to the field.

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Reviewer #1: Yes: Hartmut M. Hanauske-Abel, MD PhD

Reviewer #2: No

Acceptance letter

Joseph Fokam

6 Jan 2021

PONE-D-20-20773R2

Viral load care of HIV-1 infected children and adolescents: a longitudinal study in rural Zimbabwe.

Dear Dr. Mapangisana:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Joseph Fokam

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Data. Data file supporting results of the analyses reported in this study.

    (XLSX)

    Attachment

    Submitted filename: Review of PONE-D-20-20773, HM Hanauske-Abel.pdf

    Attachment

    Submitted filename: Response to reviewers.docx

    Attachment

    Submitted filename: PONE-D-20-20773_R1_reviewer HMHA.pdf

    Attachment

    Submitted filename: Response to reviewers comments.docx

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting Information files.


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