Abstract
Objective:
Women with HIV (WHIV) are at an increased risk of adverse perinatal outcomes compared to women without HIV, despite antiretroviral therapy (ART). There is evidence that the risk of adverse perinatal outcomes may differ according to ART regimen. We aimed to assess the risk of adverse perinatal outcomes among WHIV receiving different classes of ART, compared to women without HIV.
Design:
A systematic review and meta-analysis
Methods:
We searched Medline, CINAHL, Global Health, and EMBASE for studies published between January 1, 1980, and July 14, 2023. We included studies which assessed the risk of 11 predefined adverse perinatal outcomes among WHIV receiving nonnucleoside reverse transcriptase inhibitor (NNRTI)-based ART, protease inhibitor based ART or integrase strand transfer inhibitor (INSTI)-based ART, compared to women without HIV. The perinatal outcomes assessed were preterm birth (PTB), very PTB (VPTB), spontaneous PTB (sPTB), low birthweight (LBW), very LBW (VLBW), term LBW, preterm LBW, small for gestational age (SGA), very SGA (VSGA), stillbirth and neonatal death (NND). Random effects meta-analyses examined the risk of each adverse outcome in WHIV receiving NNRTI-based, protease inhibitor based, or INSTI-based ART, compared with women without HIV. Subgroup and sensitivity analyses were conducted based on country income status, study quality, and timing of ART initiation. The protocol is registered with PROSPERO, CRD42021248987.
Results:
Of 108 720 identified citations, 22 cohort studies including 191 857 women were eligible for analysis. We found that WHIV receiving NNRTI-based ART (mainly efavirenz or nevirapine) are at an increased risk of PTB (risk ratio 1.40, 95% confidence interval 1.27–1.56), VPTB (1.94, 1.25–3.01), LBW (1.63, 1.30–2.04), SGA (1.53, 1.17–1.99), and VSGA (1.48, 1.16–1.87), compared with women without HIV. WHIV receiving protease inhibitor based ART (mainly lopinavir/ritonavir or unspecified) are at an increased risk of PTB (1.88, 1.55–2.28), VPTB (2.06, 1.01–4.18), sPTB (16.96, 1.01–284.08), LBW (2.90, 2.41–3.50), VLBW (4.35, 2.67–7.09), and VSGA (2.37, 1.84–3.05), compared with women without HIV. WHIV receiving INSTI-based ART (mainly dolutegravir) are at an increased risk of PTB (1.17, 1.06–1.30) and SGA (1.20, 1.08–1.33), compared with women without HIV.
Conclusion:
The risks of adverse perinatal outcomes are higher among WHIV receiving ART compared with women without HIV, irrespective of the class of ART drugs. This underlines the need to further optimize ART in pregnancy and improve perinatal outcomes of WHIV.
Keywords: antiretroviral therapy, HIV, low birthweight, neonatal death, pregnancy, preterm birth, small for gestational age
Introduction
Each year, there are an estimated 1.3 million pregnant women with HIV (WHIV), 82% of whom receive antiretroviral therapy (ART) [1]. 90% of pregnant WHIV reside in sub-Saharan Africa, which has the highest rates of child mortality worldwide [2,3]. The United Nations’ Sustainable Development Goal 3 target 3.2 aspires to decrease neonatal and under-5 mortality to 12 and 25 per 1000 live births, respectively, by 2030 [4]. However, the majority of countries in sub-Saharan Africa are not on track to achieve these goals [2]. Preterm birth (PTB) is the leading cause of neonatal and child mortality and morbidity globally [5], while babies born small for gestational age (SGA) account for 21.9% of neonatal deaths (NNDs) in low and middle-income countries (LMICs) [6]. In 2020, 14.6% of livebirths worldwide had low birthweight (LBW) [7]. Therefore, there is an urgent unmet need to improve perinatal outcomes in settings where HIV infection and neonatal and child mortality are most prevalent.
WHIV who do not receive ART have an increased risk of PTB, LBW, SGA, and stillbirth, especially in sub-Saharan Africa [8]. The WHO recommends that all pregnant WHIV receive ART to improve maternal health and reduce vertical HIV transmission [9]. However, pregnant WHIV who receive ART remain at an increased risk of PTB, LBW, term LBW, SGA, and very SGA (VSGA) compared to women without HIV [10]. In the past three decades, an estimated 2 million preterm, LBW, and SGA newborns in sub-Saharan Africa have been attributed to maternal HIV infection and ART [11].
ART consists of a backbone of two nucleoside reverse transcriptase inhibitors (NRTIs), combined with a “third drug,” which may be an integrase strand transfer inhibitor (INSTI), nonnucleoside reverse transcriptase inhibitor (NNRTI), protease inhibitor, or NRTI. Currently, the WHO recommends INSTI dolutegravir (DTG)-based ART as the preferred first-line ART regimen in adults and pregnant women, NNRTI efavirenz (EFV)-based ART as an alternative first line, and protease inhibitor based ART as second-line if first-line regimens fail [9]. However, the existence of differential risks of adverse perinatal outcomes associated with different ART regimens is uncertain, with conflicting data reported [12–17]. Recent RCTs of ART regimens initiated during pregnancy showed no differences in composite perinatal outcomes between DTG-based ART and EFV-based ART, although there was an increase in NND associated with EFV-based ART [13,14]. A further RCT showed that WHIV receiving INSTI raltegravir-based ART had similar adverse perinatal outcomes as WHIV receiving EFV-based ART [15]. Meanwhile, meta-analyses of cohort studies comparing different ART classes found an association of protease inhibitor based ART with an increased risk of SGA and VSGA compared to NNRTI-based ART [16,17].
On the basis of the available evidence, it is unclear whether any ART regimen received by WHIV reduces their risk of adverse perinatal outcomes to the level of women without HIV. To fill this evidence gap, we conducted a systematic review and meta-analysis to assess the risk of a broad range of important adverse perinatal outcomes among WHIV receiving INSTI-based ART, NNRTI-based ART and protease inhibitor based ART, compared to women without HIV.
Materials and methods
Search strategy
This systematic review and meta-analysis was conducted in concordance with the Cochrane guidelines. A comprehensive search strategy was devised by a specialist librarian (S.K.) and used with four electronic databases [Medline, CINAHL (Ebscohost), Global Health (Ovid), EMBASE (Ovid)] to identify studies published between January 1, 1980, and July 14, 2023 (Appendix 1). Full texts and abstracts were reviewed, with no restrictions on study design, language or country. Citations were imported into EndNote reference manager (EndNote 21; Clarivate Analytics, Philadelphia, Pennsylvania, USA) and deduplicated.
Study selection and eligibility criteria
Studies containing data on the occurrence of predefined adverse perinatal outcomes among WHIV receiving ART and women without HIV were eligible. Titles and abstracts of retrieved citations were reviewed, and full text manuscripts were assessed against the eligibility criteria by at least two independent investigators (M.H., L.T., C.P., H.S., M.K., and Z.B.). Inclusion criteria were study design (cohort studies), population (pregnant women), exposure (WHIV receiving NNRTI-based, protease inhibitor based or INSTI-based ART), comparator (women without HIV), and perinatal outcomes defined as follows: PTB (birth <37+0 weeks gestation) [5]; very PTB (VPTB, birth <32+0 weeks gestation) [5]; spontaneous PTB (sPTB, spontaneous birth <37+0 weeks gestation); LBW (<2500 g) [7]; very LBW (VLBW, <1500 g); SGA (birthweight for gestational age <10th centile) [6] or VSGA (birthweight for gestational age <3rd centile) according to the reference chart used at the study site; stillbirth (newborn without any signs of life with birthweight at least 1000 g or gestational age ≥24+0 weeks gestation weeks or body length ≥35 cm); and NND (death of an infant in the first 28 days of life) [8]. Term and preterm LBW were defined according to the definitions for PTB and LBW. Perinatal outcome data were not included if outcomes were undefined or not defined according to our definitions. ART exposure was defined as receiving any combination of at least three antiretroviral drugs, categorized as NNRTI-based, protease inhibitor based, or INSTI-based ART, depending on the class of the “third drug.” Any ambiguities were resolved with the senior investigator (J.H.).
Data extraction
At least two independent investigators (M.H., L.T., C.P., H.S., M.K., and Z.B.) extracted data on study and population characteristics. Data on class of ART exposure (as well as specific drugs), timing of ART initiation (preconception, antenatal, or mixed), and frequencies of adverse perinatal outcomes among WHIV receiving different classes of ART and women without HIV were extracted. Unadjusted and adjusted relative risks and 95% confidence intervals (95% CIs) of adverse perinatal outcomes of WHIV receiving different classes of ART, compared to women without HIV, were also extracted. All data were reviewed by the senior investigator (J.H.).
Quality assessment
The quality of each study was assessed by at least two investigators (M.H., L.T., C.P., H.S., M.K., and Z.B.) and reviewed by the senior investigator (J.H.) using an adapted Newcastle–Ottawa Scale (Appendix 2). Studies were defined as “good,” “average,” or “poor” quality according to nine predefined criteria (Appendix 2).
Statistical analysis
Outcome frequencies were used to calculate risk ratios and corresponding 95% CIs to assess the risk of adverse perinatal outcomes among WHIV receiving NNRTI-based, protease inhibitor based, or INSTI-based ART, compared with women without HIV in individual studies. If two or more studies reported data for the same exposure comparison and outcome, a random effects meta-analysis was conducted. Meta-analyses were represented in forest plots and the I2 statistic used to quantify heterogeneity due to clinical and methodological variability between studies. Funnel plots were used to assess small study effects and the Peters’ test was used in meta-analyses containing more than 10 studies (Appendix 6) [18]. Subgroup analyses were performed to assess the role of specific NNRTI drugs [i.e., efavirenz (EFV) and nevirapine (NVP)], timing of ART initiation (preconception and antenatal), country income status (high or low and middle-income), and study quality (good, average or poor) (Appendix 4). A sensitivity analysis was performed to investigate whether adjustment for confounders impacted the associations between exposures and perinatal outcomes (Appendix 5). Statistical analyses were done with StataBE version 18 (College Station, Texas, USA). The review is reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [19].
Results
Our search yielded 108 720 citations, of which 22 studies were included in our meta-analysis [20–41]. The number of studies reporting each perinatal outcome for WHIV receiving NNRTI-based ART, protease inhibitor based ART, or INSTI-based ART, compared to women without HIV, are shown in Fig. 1.
Fig. 1.
Study selection.
ART, antiretroviral therapy (triple drug therapy); INSTI, integrase strand transfer inhibitor; LBW, low birthweight; NND, neonatal death; NNRTI, nonnucleoside reverse transcriptase inhibitor; PI, protease inhibitor; PTB, preterm birth; SGA, small for gestational age; sPTB, spontaneous preterm birth; VLBW, very low birthweight; VPTB, very preterm birth; VSGA, very small for gestational age; WHIV, women with HIV. aFor example, women with HIV were not pregnant. bFor example, study did not provide relevant outcome data. cFor example, assisted reproductive technology.
Table 1 summarizes the characteristics of each study. In total, eight prospective (36%) and 14 retrospective (64%) cohort studies reported data from 191 857 women across 10 countries. Fifteen studies (68%) including 175 839 women (92%) took place in LMICs, whereas seven studies (32%) with 16 018 women (8%) were conducted in high-income countries (HICs). Seven studies (32%) were classified as poor quality, 14 (64%) as average quality, and one (4%) as good quality (Table 1 and Appendix 2). Eighteen studies (82%) used methods to assess for potential confounders, including regression analysis, risk factor analysis, and matching. Of the 31 analyses reported by individual studies that adjusted for confounders, only five resulted in a change in the significance of the effect estimate (Appendix 5).
Table 1.
Characteristics of studies.
| Study | Country | Country income status | Cohort study design | Recruitment period | Number of women analysed | Population characteristicsa | Method to correct for confounders | Method to estimate gestational age | Quality Assessment |
| Azria et al.[19] | France | High | Retrospective | 1/2003 to 6/2007 | 300 | Twins excluded, women recruited from a level III maternity unit, urban setting, hospital deliveries, 4.3% smoking during pregnancy, 1.7% history of IDU | Risk factor analysis, matching | First day of LNMP, corrected if needed by routine first trimester ultrasound | Average |
| Balogun et al.[20] | Canada | High | Prospective | 9/2010 to 12/2015 | 104 | Twins excluded, women recruited from 4 sites in Toronto, 0% smoking | Risk factor analysis, matching | LNMP confirmed by ultrasound (unspecified) | Average |
| Bengtson et al.[21] | South Africa | Middle | Prospective | 3/2013 to 8/2015 | 1116 | Twins excluded, women recruited from antenatal care clinics in Gugulethu Cape Town, urban setting, 17.2% alcohol use | None | Ultrasound (unspecified), LNMP, or symphysis-fundal height | Poor |
| Boer et al.[22] | Netherlands | High | Retrospective | 12/1997 to 7/2003 | 294 | First born twin included, women recruited from an academic medical centre, 12.9% smoking, 1.7% history of IDU | Regression analysis, matching | LNMP confirmed by first trimester ultrasound | Poor |
| Carceller et al.[23] | Canada | High | Retrospective | 1997 to 2005 | 412 | Recruited from a tertiary hospital in Montreal, urban setting, hospital deliveries | None | No description | Poor |
| Chen et al.[24] | Botswana | Middle | Retrospective | 1/5/2009 to 30/4/2011 | 33148 | First born twin included, hospital deliveries, 5.3% alcohol use, 1.7% smoking | Regression analysis, risk factor analysis | LNMP, symphysis-fundal height, or ultrasound (unspecified) | Average |
| Dadabhai et al.[25] | Malawi | Low | Prospective | 1/2016 to 9/2017 | 1299 | Twins excluded, 96% of deliveries occurred in healthcare facilities, urban setting | Regression analysis | Ballard score and LNMP | Average |
| Gagnon et al.[26] | Canada | High | Retrospective | 1/1/2007 to 31/12/2012 | 384 | Twins excluded, women recruited from tertiary referral centre, urban setting, all hospital deliveries, 5% smoking, 1% alcohol use, 2% IDU. | Regression, risk factor analysis | First trimester ultrasound or conception date by assisted reproduction if available | Average |
| Malaba et al.[27] | South Africa | Middle | Prospective | 4/2013 to 8/2015 | 1793 | Twins excluded, recruited from large community primary care facility, urban setting | Regression analysis, risk factor analysis | LNMP and symphysis-fundal height | Average |
| Malaba et al.[28] | South Africa | Middle | Prospective | 4/2014 to 10/2016 | 1787 | Twins excluded, women recruited from a large primary care antenatal clinic, urban setting | Regression analysis | LNMP and symphysis-fundal height | Average |
| Mehta et al.[29] | South Africa | Middle | Retrospective | 7/10/2013 to 6/10/2014 | 10293 | Twins included, women recruited from hospital, urban setting, hospital deliveries, 0.09% smoking, 0.2% alcohol use, 0.04% IDU | Risk factor analysis | LNMP, ultrasound (unspecified) | Average |
| Moodley et al.[30] | South Africa | Middle | Retrospective | 7/2011 to 12/2011, 1/2014 to 6/2014 | 9847 | Twins excluded, data abstracted from maternity registers of a regional hospital | Regression analysis, risk factor analysis | LNMP and/or ultrasound (unspecified) | Average |
| Olagbuji et al.[31] | Nigeria | Middle | Prospective | 1/2007 to 12/2008 | 406 | Twins excluded, women recruited from a tertiary referral centre, all delivered in a healthcare facility | Risk factor analysis | No description | Poor |
| Ramokolo et al.[32] | South Africa | Middle | Retrospective | 10/2012 to 5/2013 | 8778 | Women recruited from primary health facilities | Risk factor analysis | LNMP | Average |
| Rempis et al.[33] | Uganda | Low | Retrospective | 2/2013 to 12/2013 | 412 | Twins excluded, all deliveries in a private referral hospital | Risk factor analysis | No description | Poor |
| Santosa et al.[34] | South Africa | Middle | Prospective | 28/5/2013 to 20/7/2016 | 633 | Twins excluded, women recruited from hospital, 98.7% hospital deliveries, urban setting, 6.4% smoking, 8.2% alcohol | Regression analysis, risk factor analysis | Ultrasound <14 weeks | Good |
| Saums et al.[35] | United States of America | High | Retrospective | 2011--2018 | 3729 | Women recruited from hospital, urban setting, hospital deliveries, 11.5% smoking, 2.9% alcohol use, 13.4% IDU | Risk factor analysis | No description | Average |
| Sebitloane et al.[36] | South Africa | Middle | Retrospective | 1/4/2011 to 30/4/2014 | 1461 | Twins excluded, women recruited at a regional hospital, urban setting, hospital deliveries | None | No description | Poor |
| Snijdewind et al.[37] | Netherlands | High | Retrospective | 1/1997 to 2/2015 | 10795 | Twins excluded, women recruited from 26 nationwide sites, 10.8% smoking, 11.7% alcohol use, 0.6% IDU | Risk factor analysis | Early ultrasound or LNMP | Average |
| Tiam et al.[38] | Lesotho | Middle | Prospective | 6/2014 to 2/2016 | 1594 | Women recruited from 14 mixed setting study centres across 3 districts, 91.6% delivered in a health facility | None | LNMP | Poor |
| Zash et al.[39] | Botswana | Middle | Retrospective | 15/8/2014 to 15/8/2016 | 46267 | Twins excluded, women recruited from 8 government hospitals, 6.3% alcohol use or smoking | Regression analysis | LNMP confirmed by ultrasound where possible | Average |
| Zash et al.[40] | Botswana | Middle | Retrospective | 15/8/2014 to 15/8/2016 | 57005 | Twins excluded, women recruited from 8 government hospitals, hospital deliveries, 8.3% alcohol or smoking in pregnancy | Regression analysis | LNMP and/or ultrasound (unspecified), or symphysis-fundal height | Average |
IDU, illicit drug use; LNMP, last normal menstrual period.
Details on the inclusion of twins, recruitment centre, urban/rural setting, deliveries at home/hospital, smoking, alcohol use, and IDU were sought and reported here if provided by each study.
The class of ART, specific antiretroviral drugs, timing of ART initiation, and perinatal outcomes analyzed in each study are summarized in Table 2. Seventeen studies (77%) reported data on WHIV receiving NNRTI-based ART (11 studies EFV-based ART [22,26,28–31,34,35,37,40,41], five studies NVP-based ART [25,31–33,40], one study mixed NNRTI-based ART [38], and two studies unspecified [35,37]), 11 studies (50%) reported on protease inhibitor based ART (three studies lopinavir/ritonavir (LPV/r)-based ART [20,25,40], two studies mixed protease inhibitor based ART [21,24], and six studies unspecified [23,27–29,36,38]) and two studies (9%) reported on INSTI-based ART (one study DTG-based ART [41], one study unspecified [36]). Eleven studies reported on WHIV receiving ART initiated preconception, 12 studies reported on antenatal ART initiation, and nine studies reported mixed initiation (Table 2). In total, 19 studies reported PTB, seven VPTB, one sPTB, 10 LBW, four VLBW, two Term LBW, one Preterm LBW, 15 SGA, six VSGA, one stillbirth, and five NND.
Table 2.
Antiretroviral therapy characteristics and perinatal outcomes.
| Study | ART class | Antiretroviral drugs | Timing of ART initiationa | Perinatal Outcomes |
| Azria et al.[19] | PI | 100% LPV/r-based ART | Mixed initiation | PTB, VPTB, SGA, VSGA, NND |
| Balogun et al.[20] | PI | 58.2% LPV/r-based ART 36.4% ATV/r- based ART 5.5% DRV/r- based ART |
Mixed initiation | sPTB, SGA |
| Bengtson et al.[21] | NNRTI | 100% TDF-FTC/3TC-EFV | Antenatal initiation | PTB, SGA, VSGA |
| Boer et al.[22] | PI | Unspecified | Mixed initiation | PTB |
| Carceller et al.[23] | PI | 77.4% NFV-based ART 10.8% INV-based ART 4.4% LPV/r-based ART 7.7% SQV-based ART |
Mixed initiation | PTB, Term LBW |
| Chen et al.[24] | 92.4% NNRTI | 100% ZDV-3TC-NVP | Antenatal and preconception initiation | PTB |
| 7.6% PI | 100% ZDV-3TC-LPV/r | |||
| Dadabhai et al.[25] | NNRTI | 100% TDF-3TC-EFV | Antenatal and preconception initiation (PTB only), Mixed initiation (other outcomes) |
PTB, LBW, Term LBW, Preterm LBW, SGA, VSGA |
| Gagnon et al.[26] | PI | Unspecified | Mixed initiation | PTB, LBW, SGA |
| Malaba et al.[27] | 97% NNRTI | 100% TDF-3TC-EFV | Antenatal and preconception initiation | PTB, VPTB, LBW, VLBW, SGA |
| 3% PI | Unspecified | |||
| Malaba et al.[28] | 97.2% NNRTI | 96.7% TDF-3TC-EFV, 0.5% TDF-3TC-NVP, 2.7% other NNRTI-based ART |
Antenatal and preconception initiation | PTB, SGA |
| 2.8% PI | Unspecified | |||
| Mehta et al.[29] | NNRTI | 95.2% TDF-FTC-EFV, 1.6% TDF-3TC-EFV, 2.1% TDF-FTC-NVP, 0.2% D4T-3TC-NVP, 0.5% other EFV-based ART (D4T-3TC-EFV or ZDV-3TC-EFV) 0.4% other NVP-based ART (ZDV-3TC-NVP or TDF-3TC-NVP) |
Mixed initiation | PTB, LBW, SGA, NND |
| Moodley et al.[30] | NNRTI | 22.4% D4T-3TC-NVP, 77.6% TDF-FTC-EFV |
Mixed initiation | PTB, LBW, SGA |
| Olagbuji et al.[31] | NNRTI | 100% ZDV-3TC-NVP | Mixed initiation | LBW |
| Ramokolo et al.[32] | NNRTI | 100% TDF-3TC/FTC-NVP | Antenatal and preconception initiation | PTB, LBW, SGA |
| Rempis et al.[33] | NNRTI | 98% TDF-3TC-EFV 2% unspecified |
Antenatal and preconception initiation | SGA |
| Santosa et al.[34] | 95.9% NNRTI | 98.2% TDF-FTC/3TC-EFV, 1.8% NVP-based ART |
Antenatal and preconception initiation | PTB, VPTB, LBW, VLBW, SGA, VSGA, Stillbirth, NND |
| Saums et al.[35] | 34% NNRTI | Unspecified | Mixed initiation | PTB |
| 54.7% PI | ||||
| 10.9% INSTI | ||||
| Sebitloane et al.[36] | NNRTI | TDF-FTC-NVP/EFV ratio unspecified |
Antenatal and preconception initiation | PTB |
| Snijdewind et al.[37] | 31.5% NNRTI | Unspecified | Antenatal and preconception initiation | PTB, VPTB, LBW, VLBW, SGA |
| 66.7% PI | ||||
| Tiam et al.[38] | NNRTI | 86.0% TDF-3TC-EFV 3.9% TDF-3TC-NVP 4.4% ZDV-3TC-EFV 4.6% ZDV-3TC-NVP 1.1% other ART |
Antenatal and preconception initiation | PTB, LBW, VLBW, VPTB |
| Zash et al.[39] | 92% NNRTI | 53.8% EFV-based ART 46.2% NVP-based ART |
Preconception initiation | PTB, VPTB, SGA, VSGA, NND |
| 8% PI | 100% LPV/r-based ART | |||
| Zash et al.[40] | 72.7% NNRTI | 100% TDF-FTC-EFV | Antenatal initiation | PTB, VPTB, SGA, VSGA, NND |
| 27.3% INSTI | 100% TDF-FTC-DTG |
3TC, lamivudine; ART, antiretroviral therapy (triple drug therapy); ATV/r, atazanavir/ritonavir; D4T, stavudine; DRV/r, darunavir/ritonavir; DTG, dolutegravir; EFV, efavirenz; FTC, emtricitabine; INSTI, integrase strand transfer inhibitor; INV, indinavir; LBW, low birthweight; LPV/r, lopinavir/ritonavir; NFV, nelfinavir; NND, neonatal death; NNRTI, nonnucleoside reverse transcriptase inhibitor; NVP, nevirapine; PI, protease inhibitor; PTB, preterm birth; SGA, small for gestational age; sPTB, spontaneous preterm birth; SQV, saquinavir; TDF, tenofovir disoproxil fumarate; VLBW, very low birthweight; VPTB, very preterm birth; VSGA, very small for gestational age; ZDV, zidovudine.
“Antenatal initiation” refers to ART, which was initiated after the estimated date of conception. “Preconception initiation” refers to ART, which was initiated before the estimated date of conception. “Mixed initiation” refers to ART, which includes both preconception or antenatal initiation where the outcome data are not reported separately according to timing of ART initiation. “Preconception and antenatal initiation” refers to studies that report distinct outcome data for each timing of ART initiation (preconception or antenatal).
Perinatal outcomes among WHIV receiving either NNRTI-based ART (Fig. 2a), protease inhibitor based ART (Fig. 2b), or INSTI-based ART (Fig. 2c) were compared with women without HIV (Appendix 3). If two or more studies reported data for the same exposure comparison and outcome, a random-effects meta-analysis was conducted. Subgroup analysis was carried out for studies reporting on WHIV receiving NNRTI-based, who received either EFV-based ART (Fig. 3a) or NVP-based ART (Fig. 3b). Subgroup analysis for specific protease inhibitor and INSTI-based regimens was not possible due to the lack of drug diversity and specification, and data availability. Furthermore, subgroup analyses were conducted according to timing of ART initiation, country income status, and study quality (Appendix 4).
Fig. 2.
Perinatal outcomes of women with HIV receiving different classes of antiretroviral therapy compared to women without HIV.
Adverse perinatal outcomes associated with WHIV receiving NNRTI-based ART (a), protease inhibitor based ART (b), or INSTI-based ART (c), compared to women without HIV. Results of individual studies or, when two or more studies were available, random-effects meta-analyses are presented. Risk ratios (RRs) and 95% confidence intervals (CIs), p-values, numbers of studies and women included in the analysis of each perinatal outcome, and I2 value for heterogeneity are displayed. Statistically significant (P < 0.05) effect estimates are presented with red dots and nonsignificant effects with black dots. Forest plots of the meta-analyses for each perinatal outcome can be found in Appendix 4. ART, antiretroviral therapy (triple drug therapy); INSTI, integrase strand transfer inhibitor; LBW, low birthweight; NND, neonatal death; NNRTI, nonnucleoside reverse transcriptase inhibitor; PI, protease inhibitor; PTB, preterm birth; SGA, small for gestational age; sPTB, spontaneous preterm birth; VLBW, very low birthweight; VPTB, very preterm birth; VSGA, very small for gestational age; WHIV, women with HIV.
Fig. 2 (Continued.).
Perinatal outcomes of women with HIV receiving different classes of antiretroviral therapy compared to women without HIV.
Adverse perinatal outcomes associated with WHIV receiving NNRTI-based ART (a), protease inhibitor based ART (b), or INSTI-based ART (c), compared to women without HIV. Results of individual studies or, when two or more studies were available, random-effects meta-analyses are presented. Risk ratios (RRs) and 95% confidence intervals (CIs), p-values, numbers of studies and women included in the analysis of each perinatal outcome, and I2 value for heterogeneity are displayed. Statistically significant (P < 0.05) effect estimates are presented with red dots and nonsignificant effects with black dots. Forest plots of the meta-analyses for each perinatal outcome can be found in Appendix 4. ART, antiretroviral therapy (triple drug therapy); INSTI, integrase strand transfer inhibitor; LBW, low birthweight; NND, neonatal death; NNRTI, nonnucleoside reverse transcriptase inhibitor; PI, protease inhibitor; PTB, preterm birth; SGA, small for gestational age; sPTB, spontaneous preterm birth; VLBW, very low birthweight; VPTB, very preterm birth; VSGA, very small for gestational age; WHIV, women with HIV.
Fig. 3.
Perinatal outcomes of women with HIV receiving different nonnucleoside reverse transcriptase inhibitor based antiretroviral therapy regimens compared to women without HIV.
Adverse perinatal outcomes associated with WHIV receiving efavirenz (EFV)-based ART (a) or nevirapine (NVP)-based ART (b), compared to women without HIV. Results of individual studies or, when two or more studies were available, random-effects meta-analyses are presented. Risk ratios (RR) and 95% confidence intervals (95% CIs), p-values, numbers of studies and women included in the analysis of each perinatal outcome, and I2 value for heterogeneity are displayed. Statistically significant (P < 0.05) effect estimates are presented with red dots and nonsignificant effects with black dots. Forest plots of the meta-analyses for each perinatal outcome are reported in Appendix 4. ART, antiretroviral therapy (triple drug therapy); EFV, efavirenz; LBW, low birthweight; NND, neonatal death; NVP, nevirapine; PTB, preterm birth; SGA, small for gestational age; sPTB, spontaneous preterm birth; VLBW, very low birthweight; VPTB, very preterm birth; VSGA, very small for gestational age; WHIV, women with HIV.
Women with HIV receiving nonnucleoside reverse transcriptase inhibitor based antiretroviral therapy
A meta-analysis of 15 studies, including 165 550 women, found that WHIV receiving NNRTI-based ART had an increased risk of PTB compared to women without HIV (risk ratio 1.40, 95% CI 1.27–1.56; P < 0.001) (Fig. 2a). There was a high level of heterogeneity (I2 = 87.3%), but the Peters’ test found no evidence of small-study effect (P = 0.865). Subgroup analysis showed that both EFV-based ART (1.28, 1.18–1.39; P < 0.001) (Fig. 3a) and NVP-based ART (1.26, 1.04–1.53; P = 0.017) (Fig. 3b) were associated with an increased risk of PTB compared to women without HIV. The increased risk of PTB was seen across ART initiation subgroups, average and poor quality studies, and across LMICs (Appendix 4).
Analysis of six studies, including 106 226 women, found an association between VPTB and NNRTI-based ART (1.94, 1.25–3.01; P = 0.003; I2 = 88.5%) (Fig. 2a). In subgroup analysis, NVP-based ART was associated with an increased risk of VPTB (1.51, 1.26–1.82; P < 0.001), but not EFV-based ART (1.06, 0.93–1.22; P = 0.381) (Fig. 3).
Meta-analysis of nine studies, including 40 397 women, found that WHIV receiving NNRTI-based ART were associated with an increased risk of LBW compared to women without HIV (1.63, 1.30–2.04; P < 0.001; I2 = 90.0.%) (Fig. 2a). This association remained significant for both EFV-based ART (1.31, 1.21–1.42; P < 0.001) and NVP-based ART (1.45, 1.30–1.62; P < 0.001) (Fig. 3), as well as across subgroups of ART initiation, country income status, and average-quality studies (Appendix 4).
There was no increased risk of VLBW, Term LBW, or Preterm LBW among WHIV receiving NNRTI-based ART compared to women without HIV (Fig. 2a).
Meta-analysis of 12 studies, including 134 977 women, found an increased risk of SGA associated with WHIV receiving NNRTI-based ART, compared to women without HIV (1.53, 1.17–1.99; P < 0.001; I2 = 97.4%) (Fig. 2a). There was no evidence of small-study effects (P = 0.906). The increased risk of SGA was seen for EFV-based ART (1.20, 1.15–1.26; P < 0.001) and NVP-based ART (1.65, 1.55–1.76; P < 0.001) (Fig. 3) and across country income status and study quality (Appendix 4).
Similarly, an increased risk of VSGA was found in a meta-analysis of five studies, including 96 341 women, for WHIV receiving NNRTI-based ART (1.48, 1.16–1.87; P < 0.001; I2 = 78.2%) (Fig. 2a), including in subgroup analyses of WHIV receiving both EFV-based ART (1.29, 1.19–1.41; P < 0.001) and NVP-based ART (2.28, 2.01–2.57; P < 0.001) (Fig. 3), and ART initiated preconception and antenatally (Appendix 4).
One study of 633 women compared stillbirth between WHIV on NNRTI-based ART and women without HIV and found no difference in risk (0.88, 0.34–2.32; P = 0.799) (Fig. 2a). Four studies, including 104 305 women, found no difference in risk of NND (1.20, 0.89, 1.61; P = 0.074) (Fig. 2a).
Women with HIV receiving protease inhibitor based antiretroviral therapy
Meta-analysis of nine studies, including 71 548 women, found that WHIV receiving protease inhibitor based ART were associated with an increased risk of PTB, compared with women without HIV (1.88, 1.55–2.28; P < 0.001; I2 = 64.8%) (Fig. 2b). This association remained significant across all subgroup analyses (Appendix 4).
Analysis of four studies, including 44 610 women, found that WHIV receiving protease inhibitor based ART had an increased risk of VPTB (2.06, 1.01–4.18; P = 0.047, I2 = 73.4%) (Fig. 2b), while one study reported an increased risk of sPTB among WHIV receiving protease inhibitor based ART, compared to women without HIV (16.96, 1.01–284.08; P = 0.049) (Fig. 2b).
Three studies, including 10 136 women, found an increased risk of LBW among WHIV receiving protease inhibitor based ART, compared to women without HIV (2.90, 2.41–3.50; P < 0.001; I2 = 1.7%) (Fig. 2b). This association was significant when protease inhibitor based ART was initiated preconception and antenatally (Appendix 4).
Furthermore, two studies, including 9774 women, found an increased risk of VLBW among WHIV receiving protease inhibitor based ART, compared to women without HIV (4.35, 2.67–7.09; P < 0.001; I2 = 0%) (Fig. 2b), irrespective of the timing of ART initiation (Appendix 4).
One study reported Term LBW, which found no difference between WHIV receiving protease inhibitor based ART and women without HIV (1.83, 0.88–3.80; P = 0.015) (Fig. 2b).
Six studies, including 45 076 women, found no association between SGA and WHIV receiving protease inhibitor based ART, compared to women without HIV (2.92, 0.95–9.00; P = 0.062) (Fig. 2b). There was high heterogeneity (I2 = 98.1%). Interestingly, subgroup analysis found an increased risk of SGA among studies from both LMICs (1.63, 1.34–2.00; P < 0.001) and HICs (4.65, 1.08–20.06; P = 0.040) (Appendix 4).
Two studies, including 34 836 women, found that WHIV taking protease inhibitor based ART were associated with an increased risk of VSGA, compared to women without HIV (2.37, 1.84–3.05; P < 0.001; I2 = 0%) (Fig. 2b).
Two studies, including 47 027 women, found no association of NND with WHIV receiving protease inhibitor based ART, compared to women without HIV (1.82, 0.71–4.69; P = 0.212; I2 = 11.8%) (Fig. 2b).
Women with HIV receiving integrase strand transfer inhibitor based antiretroviral therapy
Meta-analysis of two studies, including 55 948 women, demonstrated an increased risk of PTB among WHIV receiving INSTI-based ART, compared with women without HIV (1.17, 1.06–1.30; P = 0.002; I2 = 0%) (Fig. 2c).
Analysis of one study, including 51 850 women, showed an increased risk of SGA among WHIV receiving INSTI-based ART, compared to women without HIV (1.20, 1.08–1.33; P = 0.001) (Fig. 2c).
There was no association between WHIV receiving INSTI-based ART and risk of VPTB, VSGA, or NND (Fig. 2c). There were no studies which reported LBW, VLBW, term LBW, Preterm LBW, or stillbirth.
Discussion
This systematic review and meta-analysis found that WHIV receiving NNRTI-based ART (mainly EFV or NVP) are at increased risk of PTB, VPTB, LBW, SGA, and VSGA, compared to women without HIV. WHIV receiving protease inhibitor based ART (mainly LPV/r or unspecified) are at an increased risk of PTB, VPTB, sPTB, LBW, VLBW, and VSGA, and WHIV receiving INSTI-based ART (mainly DTG) are at an increased risk of PTB and SGA, compared to women without HIV.
Although ART classes were not compared head-to-head, point estimates of relative risk compared to women without HIV were lowest for WHIV receiving INSTI-based ART across all adverse perinatal outcomes with data available. This provides some support toward the WHO recommendation of INSTI-based ART as first line for use in pregnant WHIV, in line with previous work [9,17]. In addition, in the current study, the estimates of relative risk compared to women without HIV were consistently greater across all adverse perinatal outcomes with available data for WHIV receiving protease inhibitor based ART compared to NNRTI-based ART. This suggests that protease inhibitor based therapy has the strongest association with adverse perinatal outcomes. However, findings should be interpreted with caution in view of the different comparator groups of women without HIV and the high levels of heterogeneity among analysed studies.
Our analysis found no significant association between protease inhibitor based ART and risk of SGA, when compared to women without HIV. This contrasts with previous meta-analyses showing protease inhibitor based ART during pregnancy to be associated with increased risks of SGA and VSGA when compared to NNRTI-based ART [16,17,42]. This nonsignificant association between protease inhibitor based ART and risk of SGA is in part attributable to a very high heterogeneity (98.1%) between the six average quality studies, illustrated by the fact that the association was significant in the subgroup analysis of protease inhibitor based ART in both LMICs and HICs. In addition, the point estimate is greater for SGA among WHIV receiving protease inhibitor based ART (risk ratio 2.92, 0.95–9.00), than for NNRTI-based (risk ratio 1.53, 1.17–1.99) or INSTI-based ART (risk ratio 1.20, 1.08–1.33), although the overlapping 95% CIs mean that uncertainty remains regarding comparative differences between ART classes.
This study has several strengths. It is the first systematic review and meta-analysis to compare a comprehensive range of 11 perinatal outcomes between WHIV receiving different classes of ART and women without HIV. Furthermore, this study is large, including 191 857 women across 22 studies and 10 different countries, providing strong evidence for the significant associations found. Of these studies, 15 (68%), including 175 839 (92%) women, were conducted in LMICs, where the majority of WHIV live, increasing the external validity of our conclusions. Outcomes and exposures were predefined to minimize misclassification bias, while a random-effects meta-analysis model was used to account for heterogeneity between studies. Furthermore, by analyzing studies comparing WHIV receiving ART with contemporaneous women without HIV, we reduce the risk of chronological bias that can occur when comparing classes directly, because of novel drug development and confounding improvements in health outcomes over time. Quality assessments, subgroup and sensitivity analyses, as well as assessment of adjustment for confounders and small study effects strengthens the validity of observed associations.
We acknowledge several limitations of this meta-analysis. First, all included studies were observational, precluding our ability to establish causality and making them vulnerable to bias. Apart from HIV status, there were likely medical, psychological, and socioeconomic differences between WHIV and women without HIV, which are not consistently accounted for across included studies. Five studies (23%) did not report a method to assess gestational age, while only four studies used the most accurate method: first trimester ultrasound. Thus, outcomes such as PTB and SGA may have been subject to misclassification bias. There is the possibility of indication bias, related to the fact that protease inhibitor based ART are second-line regimens in many countries, and hence, recipients are more likely to have failed other regimens. Data availability also limits this meta-analysis. No studies reported on triple NRTI-based ART. Only two studies report on INSTI-based ART, including 55 948 women and five perinatal outcomes (PTB, VPTB, SGA, VSGA, NND), with the majority of these outcomes only reported by one study. This limits the scope and accuracy of this part of our analysis and necessitates further study in the future, especially since INSTI-based therapy is currently recommended as first line [9]. Similarly, there are insufficient studies reporting perinatal outcomes for specific INSTI-based ART regimens (such as raltegravir, cabotegravir, bictegravir, and elvitegravir) and protease inhibitor based ART regimens (such as LPV/r, atazanavir/ritonavir, and darunavir/ritonavir), precluding further subgroup analysis of individual drugs. Where multiple studies reported on the same exposure comparison and perinatal outcome, there was generally a high level of heterogeneity and relatively large CIs in the analyses. This is likely due to differences in study populations and settings.
The mechanisms through which both HIV and ART are associated with adverse perinatal outcomes such as PTB, LBW, and SGA are poorly understood. It is thought that systemic immune activation persists despite successful inhibition of viral replication by ART [43]. Several studies in pregnant women have observed a decline in various innate immune cell frequencies in early HIV infection that do not recover with ART and appear to be associated with perinatal outcomes, such as PTB [44–46]. Relatedly, previous work suggests altered cytokine profiles between WHIV receiving ART and women without HIV throughout pregnancy, which may also be related to perinatal outcomes [47]. Other studies have shown that an antiangiogenic placental state is associated with adverse perinatal outcomes, including sPTB, SGA, and stillbirth, in WHIV on ART [48,49]. Some studies have shown that antenatal exposure to protease inhibitor based ART was associated with uteroplacental and decidual dysfunction, decreased progesterone levels and alterations in oestradiol and prolactin during pregnancy, which correlate with adverse birth outcomes [50–53]. Meanwhile, an RCT reported that NNRTI-based ART was associated with lower oestradiol levels, SGA and LBW [54].
Overall, there is a clear need for more large well conducted prospective observational studies of perinatal outcomes among pregnant WHIV receiving different ART drugs and regimens. This is particularly important for individual INSTI-based ART drugs and regimens, including dolutegravir, raltegravir, bictegravir, and elvitegravir, as well as long-acting injectable cabotegravir, as INSTI-based ART is currently recommended as first-line, as well as for novel therapies such as the first-in-class HIV-1 capsid inhibitor lenacapavir, and mAbs [55,56]. It is essential that studies collect and report detailed information about ART regimens, timing of ART initiation, and outcomes, and correct for potential confounders. It is also crucial to have long-term follow-up studies to assess the effects of intrauterine ART exposure on the growth and neurodevelopment of HIV-exposed uninfected children [57].
While it is clear that ART in pregnancy has important benefits for maternal health and reduces vertical and horizontal HIV transmission, pregnant WHIV receiving any class of ART remain at increased risk of a wide range of adverse perinatal outcomes compared to women without HIV. More research is urgently needed to optimize ART in pregnancy and improve perinatal outcomes for WHIV.
Acknowledgements
M.H. and L.T. selected relevant studies, conducted the meta-analyses, subgroup, and sensitivity analyses, interpreted the data, and wrote the first draft of the manuscript. L.T. and M.H. contributed equally to this study. M.H., L.T., C.P., H.S., M.K., and Z.B. screened the literature search results for relevant manuscripts and assessed their eligibility, verified and extracted data, and conducted methodological quality assessments. S.K. designed and conducted the literature search. J.H. conceived, designed and coordinated the study, developed the systematic review protocol, assisted with the literature search, assessment of eligibility of manuscripts, data extraction, methodological quality assessment, designed the meta-analysis plan, interpreted the data, and wrote the manuscript. All authors had full access to all the data in the study and had final responsibility for the decision to submit for publication.
Conflicts of interest
There are no conflicts of interest.
Supplementary Material
Both Molly Hey and Lucy Thompson contributed equally to this study.
Supplemental digital content is available for this article.
References
- 1. UNAIDS. Global AIDS Update 2023. Geneva, 2023. https://thepath.unaids.org/. [Accessed 16 June 2024]. [Google Scholar]
- 2.Sharrow D, Hug L, You D, Alkema L, Black R, Cousens S, et al. Global, regional, and national trends in under-5 mortality between 1990 and 2019 with scenario-based projections until 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation. Lancet Glob Health 2022; 10:e195–e206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Newborn mortality. https://www.who.int/news-room/fact-sheets/detail/newborn-mortality. [Accessed 16 June 2024]. [Google Scholar]
- 4. Transforming our world: the 2030 Agenda for Sustainable Development | Department of Economic and Social Affairs. https://sdgs.un.org/2030agenda. [Accessed 12 June 2024]. [Google Scholar]
- 5.Ohuma EO, Moller A-B, Bradley E, Chakwera S, Hussain-Alkhateeb L, Lewin A, et al. National, regional, and global estimates of preterm birth in 2020, with trends from 2010: a systematic analysis. Lancet 2023; 402:1261–1271. [DOI] [PubMed] [Google Scholar]
- 6.Lee AC, Kozuki N, Cousens S, Stevens GA, Blencowe H, Silveria MF, et al. Estimates of burden and consequences of infants born small for gestational age in low and middle income countries with INTERGROWTH-21st standard: analysis of CHERG datasets. BMJ 2017; 358:j3677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Okwaraji YB, Krasevec J, Bradley E, Conkle J, Stevens GA, Gatica-Domínguez G, et al. National, regional, and global estimates of low birthweight in 2020, with trends from 2000: a systematic analysis. Lancet 2024; 403:1071–1080. [DOI] [PubMed] [Google Scholar]
- 8.Wedi COO, Kirtley S, Hopewell S, Corrigan R, Kennedy SH, Hemelaar J. Perinatal outcomes associated with maternal HIV infection: a systematic review and meta-analysis. Lancet HIV 2016; 3:e33–48. [DOI] [PubMed] [Google Scholar]
- 9. World Health Organization. Consolidated guidelines on HIV prevention, testing, treatment, service delivery and monitoring: recommendations for a public health approach. https://www.who.int/publications/i/item/9789240031593. [Accessed 16 June 2024]. [Google Scholar]
- 10.Portwood C, Murray C, Sexton H, Kumarendran M, Brandon Z, Johnson B, et al. Adverse perinatal outcomes associated with HAART and monotherapy. AIDS 2022; 36:1409–1427. [DOI] [PubMed] [Google Scholar]
- 11.Murray C, Portwood C, Sexton H, Kumarendran M, Brandon Z, Kirtley S, Hemelaar J. Adverse perinatal outcomes attributable to HIV in sub-Saharan Africa from 1990 to 2020: systematic review and meta-analyses. Commun Med (Lond) 2023; 3:103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Tshivuila-Matala COO, Honeyman S, Nesbitt C, Kirtley S, Kennedy SH, Hemelaar J. Adverse perinatal outcomes associated with antiretroviral therapy regimens: systematic review and network meta-analysis. AIDS 2020; 34:1643–1656. [DOI] [PubMed] [Google Scholar]
- 13.Lockman S, Brummel SS, Ziemba L, Stranix-Chibanda L, McCarthy K, Coletti A, et al. Efficacy and safety of dolutegravir with emtricitabine and tenofovir alafenamide fumarate or tenofovir disoproxil fumarate, and efavirenz, emtricitabine, and tenofovir disoproxil fumarate HIV antiretroviral therapy regimens started in pregnancy (IMPAACT 2010/VESTED): a multicentre, open-label, randomised, controlled, phase 3 trial. Lancet 2021; 397:1276–1292. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kintu K, Malaba TR, Nakibuka J, Papamichael C, Colbers A, Byrne K, et al. Dolutegravir versus efavirenz in women starting HIV therapy in late pregnancy (DolPHIN-2): an open-label, randomised controlled trial. Lancet HIV 2020; 7:e332–e339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.João EC, Morrison RL, Shapiro DE, Chakhtoura N, Gouvèa MIS, de Lourdes B, et al. Raltegravir versus efavirenz in antiretroviral-naive pregnant women living with HIV (NICHD P1081): an open-label, randomised, controlled, phase 4 trial. Lancet HIV 2020; 7:e322–e331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Cowdell I, Beck K, Portwood C, Sexton H, Kumarendran M, Brandon Z, et al. Adverse perinatal outcomes associated with protease inhibitor-based antiretroviral therapy in pregnant women living with HIV: a systematic review and meta-analysis. EClinicalMedicine 2022; 46:101368. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Beck K, Cowdell I, Portwood C, Sexton H, Kumarendran M, Brandon Z, et al. Comparative risk of adverse perinatal outcomes associated with classes of antiretroviral therapy in pregnant women living with HIV: systematic review and meta-analysis. Front Med 2024; 11:1323813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Peters JL, Sutton AJ, Jones DR, Abrams KR, Rushton L. Comparison of two methods to detect publication bias in meta-analysis. JAMA 2006; 295:676–680. [DOI] [PubMed] [Google Scholar]
- 19.Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021; 372:n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Azria E, Moutafoff C, Schmitz T, Le Meaux JP, Krivine A, Pannier E, et al. Pregnancy outcomes in women with HIV type-1 receiving a lopinavir/ritonavir-containing regimen. Antivir Ther 2009; 14:423–432. [PubMed] [Google Scholar]
- 21.Balogun KA, Guzman Lenis MS, Papp E, Loutfy M, Yudin MH, MacGillivray J, et al. Elevated levels of estradiol in human immunodeficiency virus-infected pregnant women on protease inhibitor-based regimens. Clin Infect Dis 2018; 66:420–427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Bengtson AM, Phillips TK, le Roux SM, Brittain K, Zerbe A, Madlala H, et al. Does HIV infection modify the relationship between prepregnancy body mass index and adverse birth outcomes?. Paediatr Perinat Epidemiol 2020; 34:713–723. [DOI] [PubMed] [Google Scholar]
- 23.Boer K, Nellen JF, Patel D, Timmermans S, Tempelman C, Wibaut M, et al. The AmRo study: pregnancy outcome in HIV-1-infected women under effective highly active antiretroviral therapy and a policy of vaginal delivery. BJOG Int J Obstet Gynaecol 2007; 114:148–155. [DOI] [PubMed] [Google Scholar]
- 24.Carceller A, Ferreira E, Alloul S, Lapointe N. Lack of effect on prematurity, birth weight, and infant growth from exposure to protease inhibitors in utero and after birth. Pharmacotherapy 2009; 29:1289–1296. [DOI] [PubMed] [Google Scholar]
- 25.Chen JY, Ribaudo HJ, Souda S, Parekh N, Ogwu A, Lockman S, et al. Highly active antiretroviral therapy and adverse birth outcomes among HIV-infected women in Botswana. J Infect Dis 2012; 206:1695–1705. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Dadabhai S, Gadama L, Chamanga R, Kawalazira R, Katumbi C, Makanani B, et al. Pregnancy outcomes in the era of universal antiretroviral treatment in Sub-Saharan Africa (POISE Study). J Acquir Immune Defic Syndr 2019; 80:7–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gagnon L-H, MacGillivray J, Urquia ML, Caprara D, Murphy KE, Yudin MH. Antiretroviral therapy during pregnancy and risk of preterm birth. Eur J Obstet Gynecol Reprod Biol 2016; 201:51–55. [DOI] [PubMed] [Google Scholar]
- 28.Malaba TR, Phillips T, Le Roux S, Brittain K, Zerbe A, Petro G, et al. Antiretroviral therapy use during pregnancy and adverse birth outcomes in South African women. Int J Epidemiol 2017; 46:1678–1689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Malaba TR, Newell M-L, Madlala H, Perez A, Gray C, Myer L. Methods of gestational age assessment influence the observed association between antiretroviral therapy exposure, preterm delivery, and small-for-gestational age infants: a prospective study in Cape Town, South Africa. Ann Epidemiol 2018; 28:893–900. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Mehta UC, van Schalkwyk C, Naidoo P, Ramkissoon A, Mhlongo O, Maharaj NR, et al. Birth outcomes following antiretroviral exposure during pregnancy: initial results from a pregnancy exposure registry in South Africa. South Afr J HIV Med 2019; 20:971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Moodley T, Moodley D, Sebitloane M, Maharaj N, Sartorius B. Improved pregnancy outcomes with increasing antiretroviral coverage in South Africa. BMC Pregnancy Childbirth 2016; 16:35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Olagbuji BN, Ezeanochie MC, Ande AB, Oboro VO. Obstetric and perinatal outcome in HIV positive women receiving HAART in urban Nigeria. Arch Gynecol Obstet 2010; 281:991–994. [DOI] [PubMed] [Google Scholar]
- 33.Ramokolo V, Goga AE, Lombard C, Doherty T, Jackson DJ, Engebretsen IM. In utero ART exposure and birth and early growth outcomes among HIV-exposed uninfected infants attending immunization services: results from National PMTCT Surveillance, South Africa. Open Forum Infect Dis 2017; 4:ofx187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Rempis EM, Schnack A, Decker S, Braun V, Rubaihayo J, Tumwesigye NM, et al. Option B+ for prevention of vertical HIV transmission has no influence on adverse birth outcomes in a cross-sectional cohort in Western Uganda. BMC Pregnancy Childbirth 2017; 17:82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Santosa WB, Staines-Urias E, Tshivuila-Matala COO, Norris SA, Hemelaar J. Perinatal outcomes associated with maternal HIV and antiretroviral therapy in pregnancies with accurate gestational age in South Africa. AIDS 2019; 33:1623–1633. [DOI] [PubMed] [Google Scholar]
- 36.Saums MK, King CC, Adams JC, Sheth AN, Badell ML, Young M, et al. Combination antiretroviral therapy and hypertensive disorders of pregnancy. Obstet Gynecol 2019; 134:1205–1214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Sebitloane HM, Moodley J. Maternal and obstetric complications among HIV-infected women treated with highly active antiretroviral treatment at a Regional Hospital in Durban, South Africa. Niger J Clin Pract 2017; 20:1360–1367. [DOI] [PubMed] [Google Scholar]
- 38.Snijdewind IJM, Smit C, Godfried MH, Bakker R, Nellen JFJB, Jaddoe VWV, et al. Preconception use of cART by HIV-positive pregnant women increases the risk of infants being born small for gestational age. PLoS One 2018; 13:e0191389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Tiam A, Kassaye SG, Machekano R, Tukei V, Gill MM, Mokone M, et al. Comparison of 6-week PMTCT outcomes for HIV-exposed and HIV-unexposed infants in the era of lifelong ART: results from an observational prospective cohort study. PLoS One 2019; 14:e0226339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Zash R, Jacobson DL, Diseko M, Mayondi G, Mmalane M, Essex M, et al. Comparative safety of antiretroviral treatment regimens in pregnancy. JAMA Pediatr 2017; 171:e172222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Zash R, Jacobson DL, Diseko M, Mayondi G, Mmalane M, Essex M, et al. Comparative safety of dolutegravir-based or efavirenz-based antiretroviral treatment started during pregnancy in Botswana: an observational study. Lancet Glob Health 2018; 6:e804–e810. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Saint-Lary L, Benevent J, Damase-Michel C, Vayssière C, Leroy V, Sommet A. Adverse perinatal outcomes associated with prenatal exposure to protease-inhibitor-based versus nonnucleoside reverse transcriptase inhibitor-based antiretroviral combinations in pregnant women with HIV infection: a systematic review and meta-analysis. BMC Pregnancy Childbirth 2023; 23:80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Paiardini M, Müller-Trutwin M. HIV-associated chronic immune activation. Immunol Rev 2013; 254:78–101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Akoto C, Chan CYS, Tshivuila-Matala COO, Ravi K, Zhang W, Vatish M, et al. Innate lymphoid cells are reduced in pregnant HIV positive women and are associated with preterm birth. Sci Rep 2020; 10:13265. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ravi K, Chan CYS, Akoto C, Zhang W, Vatish M, Norris SA, et al. Changes in the Vα7.2+ CD161++ MAIT cell compartment in early pregnancy are associated with preterm birth in HIV-positive women. Am J Reprod Immunol N Y N 1989 2020; 83:e13240. [DOI] [PubMed] [Google Scholar]
- 46.Akoto C, Chan CYS, Ravi K, Zhang W, Vatish M, Norris SA, Hemelaar J. γδ T cell frequencies are altered in HIV positive pregnant South African women and are associated with preterm birth. PLoS One 2020; 15:e0235162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Akoto C, Norris SA, Hemelaar J. Maternal HIV infection is associated with distinct systemic cytokine profiles throughout pregnancy in South African women. Sci Rep 2021; 11:10079. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Conroy AL, McDonald CR, Gamble JL, Olwoch P, Natureeba P, Cohan D, et al. Altered angiogenesis as a common mechanism underlying preterm birth, small for gestational age, and stillbirth in women living with HIV. Am J Obstet Gynecol 2017; 217:684.e1–684.e17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Ikumi NM, Matjila M. Preterm birth in women with HIV: the role of the placenta. Front Glob Womens Health 2022; 3:820759. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Papp E, Mohammadi H, Loutfy MR, Yudin MH, Murphy KE, Walmsley SL, et al. HIV protease inhibitor use during pregnancy is associated with decreased progesterone levels, suggesting a potential mechanism contributing to fetal growth restriction. J Infect Dis 2015; 211:10–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Powis KM, Shapiro RL. Protease inhibitors and adverse birth outcomes: is progesterone the missing piece to the puzzle?. J Infect Dis 2015; 211:4–7. [DOI] [PubMed] [Google Scholar]
- 52.Eke AC, Mirochnick M, Lockman S. Antiretroviral therapy and adverse pregnancy outcomes in people living with HIV. N Engl J Med 2023; 388:344–356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Dunk CE, Serghides L. Protease inhibitor-based antiretroviral therapy in pregnancy: effects on hormones, placenta, and decidua. Lancet HIV 2022; 9:e120–e129. [DOI] [PubMed] [Google Scholar]
- 54.McDonald CR, Conroy AL, Gamble JL, Papp E, Hawkes M, Olwoch P, et al. Estradiol levels are altered in human immunodeficiency virus–infected pregnant women randomized to efavirenz-versus lopinavir/ritonavir-based antiretroviral therapy. Clin Infect Dis 2018; 66:428–436. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Ogbuagu O, Segal-Maurer S, Ratanasuwan W, Avihingsanon A, Brinson C, Workowski K, et al. Efficacy and safety of the novel capsid inhibitor lenacapavir to treat multidrug-resistant HIV: week 52 results of a phase 2/3 trial. Lancet HIV 2023; 10:e497–e505. [DOI] [PubMed] [Google Scholar]
- 56.Abrams EJ, Calmy A, Fairlie L, Mahaka IC, Chimula L, Flynn PM, et al. Approaches to accelerating the study of new antiretrovirals in pregnancy. J Int AIDS Soc 2022; 25:e25916. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Wedderburn CJ, Weldon E, Bertran-Cobo C, Rehman AM, Stein DJ, Gibb DM, et al. Early neurodevelopment of HIV-exposed uninfected children in the era of antiretroviral therapy: a systematic review and meta-analysis. Lancet Child Adolesc Health 2022; 6:393–408. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.




