Abstract
Background:
Maternal HIV infection is associated with an increased risk of adverse perinatal outcomes. The World Health Organization (WHO) recommends immediate initiation of lifelong antiretroviral therapy (ART) for all people living with HIV, including pregnant women living with HIV (WLHIV). We aimed to assess the risk of adverse perinatal outcomes in WLHIV receiving ART compared to ART-naïve WLHIV and HIV-negative women.
Materials and methods:
We conducted a systematic literature review by searching PubMed, CINAHL, Global Health, and EMBASE for studies published between Jan 1, 1980, and April 20, 2020. Two investigators independently selected relevant studies and extracted data from studies reporting on the association of pregnant WLHIV receiving ART with adverse perinatal outcomes. Perinatal outcomes examined were preterm birth (PTB), very PTB, spontaneous PTB (sPTB), low birth weight (LBW), very LBW (VLBW), term LBW, preterm LBW, small for gestational age (SGA), very SGA (VSGA), stillbirth, and neonatal death. Random-effects meta-analyses examined the risk of adverse perinatal outcomes in WLHIV receiving ART compared to ART-naïve WLHIV and HIV-negative women. Subgroup and sensitivity analyses were performed based on country income status and study quality, and adjustment for confounding factors assessed.
Results:
Of 94,594 studies identified, 73 cohort studies, including 424,277 pregnant women, met the inclusion criteria. We found that WLHIV receiving ART are associated with a significantly decreased risk of PTB (relative risk 0.79, 95% CI 0.67–0.93), sPTB (0.46, 0.32–0.66), LBW (0.86, 0.79–0.93), and VLBW (0.62, 0.39–0.97) compared to ART-naïve WLHIV. However, WLHIV receiving ART are associated with a significantly increased risk of PTB (1.42, 1.28–1.57), sPTB (2.20, 1.32–3.67), LBW (1.58, 1.36–1.84), term LBW (1.88, 1.23–2.85), SGA (1.69, 1.32–2.17), and VSGA (1.22, 1.10–1.34) compared to HIV-negative women.
Conclusion:
ART reduces the risk of adverse perinatal outcomes in pregnant WLHIV, but the risk remains higher than in HIV-negative women. Our findings support the WHO recommendation of immediate initiation of lifelong ART for all people living with HIV, including pregnant WLHIV.
Systematic review registration:
https://www.crd.york.ac.uk/prospero/, identifier CRD42021248987.
Introduction
37.7 million people globally were living with HIV in 2020, of whom 19.3 million are women over the age of 15 (1). An estimated 1.3 million women living with HIV (WLHIV) are pregnant each year, the vast majority residing in sub-Saharan Africa. This population is increasing, with women and girls accounting for 59% of new HIV infections in sub-Saharan Africa, a region that also has the highest neonatal and child mortality rates (2).
Pregnancies in WLHIV without antiretroviral therapy (ART) are associated with an increased risk of preterm birth (PTB), low birthweight (LBW), small for gestational age (SGA), and stillbirth, compared to HIV-negative women (3). PTB is the leading cause of neonatal and child mortality globally, with an estimated 14.8 million preterm births occurring each year (4). 23.3 million infants born SGA contribute to 21.9% of neonatal deaths in low- and middle-income countries (LMICs) (5). Both PTB and SGA contribute to the 18 million infants born annually with LBW (6), a perinatal outcome commonly used in LMICs, as gestational age at birth is often unknown.
ART is crucial for WLHIV to improve maternal health and to reduce perinatal HIV transmission. In the past, World Health Organization (WHO) guidelines included combination ART (cART) for pregnant WLHIV who required treatment for their own health, whereas zidovudine (ZDV) monotherapy was recommended for prevention of perinatal HIV transmission. From 2013, WHO recommended that all pregnant WLHIV should receive cART during pregnancy (7). This was updated in 2015 to a recommendation that all people living with HIV should initiate lifelong cART as soon as possible after diagnosis, irrespective of CD4 count, including pregnant WLHIV (8). As a result, the proportion of pregnant WLHIV receiving ART increased from 44 to 82% during 2010–2018. Whether ART use in pregnancy is associated with an increased risk of adverse perinatal outcomes has been controversial. A number of studies suggest adverse perinatal outcomes are associated with ART exposure during pregnancy, with conflicting results regarding regimen complexity, drug classes, and timing of ART initiation (9–14).
The United Nations’ Sustainable Development Goal 3 (SDG3) target 3.2 aims to end preventable deaths of new-borns and children under 5 years of age by 2030 and reduce neonatal and under-5 mortality to 12 and 25 per 1,000 live births, respectively (15). As the number of pregnant WLHIV receiving ART increases, a better understanding of the association of ART with perinatal outcomes is crucial. It is uncertain whether ART improves perinatal outcomes in WLHIV, and whether ART restores the risk of adverse perinatal outcomes to a level comparable with HIV-negative women. We conducted a systematic review and meta-analysis to examine the risk 11 specific perinatal outcomes in WLHIV receiving ART compared to WLHIV without ART and HIV-negative women.
Materials and methods
Search strategy
The systematic review and meta-analyses were conducted based on a protocol developed according to the Cochrane guidelines and registered online (PROSPERO, number CRD42021248987). Electronic literature databases PubMed, CINAHL (Ebscohost), Global Health (Ovid), EMBASE (Ovid) were searched for studies published between Jan 1, 1980, and April 20, 2020 using a comprehensive search strategy adapted for each database, developed by a specialist librarian (SK). Both free text and controlled vocabulary search terms for “pregnancy outcome,” “specific perinatal outcomes,” “HIV,” and “antiretroviral therapy” were used. No methodological, country, or language filters were applied, and both full-text articles and abstracts were considered. The full search terms can be found in Supplementary Appendix 1. Retrieved citations were imported into EndNote reference manager (EndNote X9; Clarivate Analytics, Philadelphia, PA, USA) and deduplicated.
Study selection and eligibility criteria
Studies that contained information on the association of pregnant WLHIV receiving ART with adverse perinatal outcomes were eligible. The titles and abstracts of citations retrieved by the literature searches were reviewed and full text manuscripts of selected citations were obtained and assessed against the eligibility criteria by at least two independent investigators (CP, HS, MK, and ZB). Inclusion criteria were study design (prospective and retrospective cohort studies), population (pregnant women), exposure (WLHIV with ART exposure) and comparators (WLHIV without ART exposure or HIV-negative women). ART exposure was defined as any number, class, and combination of antiretroviral drugs received during pregnancy. cART exposure was defined as exposure to ≥ 3 antiretroviral drugs. WLHIV were not considered to have been exposed to ART if they only received a single ART dose at delivery or received antenatal ART for < 30 days. Studies were not included if less than 95% of women in an exposure or comparator group conformed to the exposure/comparator definition (e.g., < 95% of WLHIV received ART) or if additional treatment was received by one exposure/comparator group only. Perinatal outcomes of interest were defined as follows: preterm birth (PTB, birth < 37+0 weeks gestation); (16) very PTB (VPTB, birth < 32+0 weeks gestation); (16) spontaneous PTB (sPTB, birth following spontaneous onset of labor < 37+0 weeks gestation); low birthweight (LBW, < 2,500 g); (6) very LBW (VLBW, < 1,500 g); (6) small for gestational age (SGA, birthweight for gestational age < 10th centile); (17) very SGA (VSGA, birthweight for gestational age < 3rd centile), (17) stillbirth (delivery of an infant without any signs of life with birthweight ≥ 1,000 g or gestational age ≥ 24+0 weeks or body length ≥ 35 cm); (18) and neonatal death (NND, death of an infant in the first 28 days of life) (18). Term and preterm LBW were defined according to definitions of PTB and LBW. Perinatal outcome data were not included if outcomes were not defined or if defined differently from our definitions. If a cohort was reported more than once, the study containing the most recent and complete data was included. If studies reported different perinatal outcomes for the same cohort, each study was included. References of included studies were assessed for additional relevant studies. Details of excluded papers are available upon request. Any ambiguities or disagreements regarding inclusion of studies were resolved through discussion with the senior investigator (JH).
Data extraction
Data on study and population characteristics, HIV/ART exposures and perinatal outcomes were independently extracted from eligible studies by at least two investigators (CP, HS, MK, and ZB) and reviewed by the senior investigator (JH). Outcome data according to HIV/ART exposure were extracted. Information on methods to adjust for confounders, including regression analysis (i.e., confounders corrected for), risk factor analysis (i.e., risk factors not significantly different between groups), and matching was extracted. Reported unadjusted and adjusted relative risks (RR), odds ratios (OR), and 95% confidence intervals (CIs) of perinatal outcomes according to HIV/ART exposure were also extracted.
Quality assessment
The quality of individual studies was assessed using an adapted Newcastle-Ottawa Scale by at least two investigators (CP, HS, MK, and ZB) and reviewed by the senior investigator (JH). Nine criteria were assessed in three groups: Selection of study participants (maximum 4 points), Comparability of comparator groups (maximum 2 points), and Assessment of outcomes of interest, including methods to assess gestational age at birth (maximum 3 points). Studies were defined as “good,” “average,” or “poor” quality according to predefined criteria (Supplementary Appendix 2).
Statistical analysis
Perinatal outcomes were compared between WLHIV receiving ART and either WLHIV without ART or HIV-negative women. Dichotomous outcome data according to HIV/ART exposure from individual studies were used to generate RRs and 95% CIs. Pairwise meta-analyses were carried out if two or more studies reported data for the same perinatal outcome for WLHIV receiving ART as well as WLHIV without ART or HIV-negative women. For all meta-analyses, a random-effects model was used to calculate a weighted summary effect estimate (RR) and 95% CI. Meta-analyses were represented in forest plots and the I2 statistic was used to quantify heterogeneity due to clinical and methodological variability between studies. The degree of heterogeneity was classified as none (< 25%), low (25–49%), moderate (50–74%), or high (≥ 75%). Prescribed subgroup analyses were carried out to assess the effects of country income status and sensitivity analyses were done to investigate whether study quality and the adjustment for confounders had an impact on the associations between HIV/ART exposure and perinatal outcomes. The Peters’ test was used to assess publication bias in meta-analyses containing ten or more studies. All statistical analyses were done with Stata version 13 (College Station, TX, USA). The systematic review is reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Results
The literature search yielded 94,594 citations, of which 73 studies reported relevant data (Figure 1). The perinatal outcomes reported for WLHIV receiving ART compared to WLHIV without ART were PTB (32 studies), VPTB (3), sPTB (2), LBW (20), VLBW (4), SGA (9), and VSGA (1) (Figure 1). The perinatal outcomes reported for WLHIV receiving ART compared to HIV-negative women were PTB (32 studies), VPTB (5), sPTB (3), LBW (20), VLBW (6), term LBW (3), preterm LBW (1), SGA (21), VSGA (5), stillbirth (1), and NND (6) (Figure 1).
FIGURE 1
Characteristics of included studies are summarized in Table 1 (10, 19–89). 33 prospective (45%) and 40 retrospective (55%) cohort studies analyzed data from 424,277 women in 27 countries (Table 1). 36 studies (49%) with 64,778 women took place in high income countries (HICs), and 37 studies (51%) with 359,499 women took place in low- and middle-income countries (LMICs). 50 studies (68%) reported the methods used to determine gestational age, with six (8%) studies exclusively using, or confirming gestational age with, first trimester ultrasound, the most accurate method of establishing gestational age (12). 38 studies (52%) used last normal menstrual period (LNMP), 27 studies (37%) used second trimester or unspecified ultrasound, 12 studies (16%) used symphysis-fundal height measurements, and six studies (8%) used Ballard score to determine gestational age. Two studies (3%) used an unspecified “clinical method” to determine gestational age. 35 studies (48%) reported using > 1 method to determine gestational age. 23 (32%) studies did not report methods used to determine gestational age. 57 studies (78%) used methods to assess potential confounding factors. Regression analysis was conducted in 28 studies, risk factor analysis was carried out in 45 studies, and matching of participants was carried out in eight studies (Supplementary Appendix 2.4). Of the 41 comparisons which were adjusted for covariates in individual studies, only six resulted in a change of the effect estimate from significant to no significant difference in adverse perinatal outcomes between groups (Supplementary Appendix 4). Quality assessments classified 32 studies (44%) as poor quality, 40 (55%) as average quality and one (2%) as good quality (Table 1 and Supplementary Appendix 2.3). Studies from LMICs had quality ratings (3% good, 54% average, and 43% poor quality) comparable to studies from HICs (55% average, 44% poor quality).
TABLE 1
| References | Country | Country Income Status | Cohort study design | Recruitment period | Number of women analyzed | Population characteristics* | Method to correct for confounders | Method to estimate gestational age | Quality assessment |
| Adam et al. (19) | Sudan | Middle | Retrospective | 1/2009 to 12/2013 | 78 | Women recruited from maternity hospital | Risk factor analysis | No description | Average |
| Ai-Jie and Yong-zhong (20) | China | Middle | Retrospective | 1/2006 to 3/2008 | 155 | Twins excluded, rural and urban setting | None | No description | Poor |
| Albert et al. (21) | Canada | High | Retrospective | 1/1/1997 to 31/1/2018 | 477 | Twins excluded, women recruited from a provincial surveillance database, 46.1% smoking, 23.3% alcohol use, 26.0% IDU | Risk factor analysis | Ultrasound in first and/or second trimester | Average |
| Azria et al. (22) | 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 |
| Bailey et al. (23) | Ukraine | Middle | Retrospective | 2008 to 2010 | 3535 | First born twin included, hospital deliveries, 14.7% history of IDU | None | LNMP and ultrasound (unspecified) | Poor |
| Balogun et al. (24) | 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. (25) | 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. (26) | 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 |
| Boyajian et al. (27) | Canada | High | Retrospective | 1/1/2003 to 10/1/2010 | 364 | Second twin excluded, women recruited from tertiary pregnancy referral centre, hospital deliveries, 6.3% smokers, 1.4% IDU | Regression analysis, risk factor analysis, matching | No description | Average |
| Carceller et al. (28) | Canada | High | Retrospective | 1997 to 2005 | 412 | Recruited from a tertiary hospital in Montreal, urban setting, hospital deliveries | None | No description | Poor |
| Chagomerana et al. (29) | Malawi | Low | Retrospective | 1/4/2012 to 15/11/2015 | 3074 | Twins excluded, urban setting, hospital deliveries | Regression analysis | LNMP | Average |
| Chen et al. (30) | 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 |
| Chibwesha et al. (31) | Zambia | Low | Retrospective | 1/2/2006 to 31/12/2012 | 200557 | First born twin included, women recruited from MNCH health system, urban setting | None | LNMP and symphysis-fundal height | Poor |
| Cooper et al. (32) | USA | High | Prospective | 1/1990 to 6/2000 | 1542 | Twins excluded, 31% IDU | Risk factor analysis | LNMP, ultrasound (unspecified), symphysis-fundal height, or neonatal assessment (unspecified) | Poor |
| Cotter et al. (33) | USA | High | Prospective | 1/1990 to 12/2002 | 1337 | Twins excluded, 5.4% alcohol use, 11.2% smoking, 17.8% IDU, women recruited from medical centre, hospital deliveries | Regression analysis, risk factor analysis | LNMP and/or ultrasound (unspecified) | Poor |
| Dadabhai et al. (34) | 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 |
| De Souza et al. (35) | USA | High | Retrospective | 1/1/1990 to 31/12/1994 | 403 | First born twin included, women recruited from a tertiary hospital, 18.9% IDU | Risk factor analysis | No description | Average |
| Djeha et al. (36) | Canada | High | Prospective | 1/2003 to 12/2016 | 159 | Urban setting, 9.4% smoking | None | First trimester ultrasound or LNMP | Average |
| Duryea et al. (37) | USA | High | Retrospective | 1/1984 to 4/2014 | 1004 | Twins excluded, women recruited from hospital, hospital deliveries | Regression analysis, risk factor analysis | No description | Average |
| European Collaborative Study (38) | Belgium, Denmark, Germany, Italy, Netherlands, Poland, Spain, Sweden United Kingdom | High | Prospective | 1985 to 12/2001 | 2414 | Women recruited from medical centres, 19.6% history of or current IDU | Regression analysis, risk factor analysis | LNMP or ultrasound (unspecified) | Average |
| Gagnon et al. (39) | Canada | High | Retrospective | 1/2007 to 31/2012 | 384 | Twins excluded, women recruited from tertiary referral centre, urban setting, hospital deliveries, 6% smoking, 1% alcohol use, 2% IDU | Regression analysis, risk factor analysis | First trimester ultrasound or conception date by assisted reproduction if available | Average |
| Garcia-Otero et al. (40) | Spain | High | Prospective | 12/2014 to 3/2017 | 94 | Women recruited from hospital and hospital clinic, urban setting, 20.2% smoking, 3.2% IDU | Risk factor analysis | No description | Average |
| Gibango et al. (41) | South Africa | Middle | Prospective | 4/2012 to 10/2012 | 496 | Twins excluded, women recruited from a tertiary academic hospital, urban setting, hospital deliveries | None | Ballard score | Poor |
| Goetghebuer et al. (42) | Belgium | High | Prospective | 12/2010 to 11/2013 | 255 | Women recruited from hospital antenatal clinic, urban setting, 9.2% smoking, 10.1% alcohol use | Risk factor analysis | Ballard score | Average |
| Gonzales et al. (43) | Mozambique | Low | Prospective | 3/2010 to 4/2012 | 1744 | Semi-rural setting | Risk factor analysis | Ballard score, symphysis-fundal height | Average |
| Habib et al. (44) | Tanzania | Low | Retrospective | 1999 to 2006 | 5870 | Twins excluded, women recruited from an electronic birth registry, hospital deliveries | Regression analysis | LNMP | Average |
| Haeri et al. (45) | USA | High | Retrospective | 1/2000 to 1/2007 | 453 | Women recruited from 2 tertiary care centres, 13.3% smoking | Regression analysis, risk factor analysis, matching | LNMP and ultrasound (unspecified) | Average |
| Hernandez et al. (46) | Spain | High | Prospective | 6/2006 to 12/2007 | 56 | Twins excluded, women recruited from materno-fetal medicine department of hospital, urban setting, 25% smoking, 0% alcohol use, 0% IDU | Risk factor analysis, matching | No description | Average |
| Hofer et al. (47) | Brazil | Middle | Prospective | 1996 to 2010 | 588 | Twins excluded, women recruited from tertiary care centre, urban setting | Risk factor analysis | No description | Average |
| Hu et al. (48) | China | Middle | Prospective | 10/2009 to 5/2018 | 802 | Twins included, urban setting | Regression analysis, risk factor analysis | First or second trimester ultrasound, in the absence of ultrasound LNMP used | Average |
| Joseph et al. (49) | Nigeria | Middle | Retrospective | 1/2008 to 6/2009 | 249 | Twins excluded, women recruited from a tertiary referral centre, hospital deliveries | Risk factor analysis | No description | Average |
| Jumare et al. (50) | Nigeria | Middle | Prospective | 2013 to 2017 | 424 | Twins included, women recruited from a specialist hospital, urban setting | Risk factor analysis | LNMP | Average |
| Kakkar et al. (51) | Canada | High | Prospective | 1988 to 2011 | 589 | Twins excluded, women recruited from a tertiary referral centre and the largest maternal-health centre in the province | Regression analysis, risk factor analysis | LNMP and ultrasound (unspecified) | Average |
| Kowalska et al. (52) | Poland | Middle | Prospective | 1/1995 to 2/2003 | 102 | Twins included, women recruited from an outpatient HIV clinic, 47.1% IDU | Risk factor analysis | LNMP | Poor |
| Li et al. (10) | Tanzania | Low | Prospective | 11/2004 to 9/2011 | 3314 | Women recruited from hospitals, health centres and dispensaries, urban setting | Risk factor analysis | LNMP and symphysis-fundal height | Poor |
| Li et al. (53) | China | Middle | Prospective | 10/2014 to 9/2017 | 1449 | Twins excluded, women recruited from midwifery hospitals | Regression analysis, risk factor analysis | LNMP or ultrasound (unspecified) | Average |
| Liff et al. (54) | Botswana | Middle | Prospective | 4/2016 to 4/2017 | 179 | Twins excluded, women recruited from 8 nationwide delivery sites | Risk factor analysis | Second trimester ultrasound | Poor |
| Lopez et al. (55) | Spain | High | Retrospective | 1/1986 to 6/2010 | 1557 | Twins excluded, women recruited from a tertiary hospital, urban setting, hospital deliveries, 55.2% smoking | Regression analysis, risk factor analysis, matching | Second trimester ultrasound | Poor |
| Malaba et al. (56) | 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. (57) | 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 |
| Mandelbrot et al. (58) | France | High | Retrospective | 1/9/1985 to 31/12/1996 | 2834 | Twins excluded, 31% IDU, recruited from obstetrical services, hospital deliveries | None | LNMP, confirmed by first trimester ultrasound | Poor |
| Marazzi et al. (59) | Malawi and Mozambique | Low | Retrospective | 7/2005 to 6/2009 | 3273 | Twins included, women recruited from DREAM centres | Regression analysis | LNMP and clinical exam (unspecified) | Average |
| Marti et al. (60) | Spain | High | Prospective | 1/1/1997 to 31/12/2003 | 167 | Twins excluded, women recruited from hospital, hospital deliveries, urban setting, 1% IDU | None | No description | Poor |
| Matheson et al. (61) | USA | High | Prospective | 3/1986 to 12/1993 | 321 | Twins excluded, 41.7% IDU | Risk factor analysis | Ballard score | Average |
| Mehta et al. (62) | 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. (63) | 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 |
| Moseholm et al. (64) | Denmark | High | Retrospective | 1/1/2000 to 31/12/2016 | 2980 | Twins excluded, women recruited from specialised clinical centres for treatment and care of pregnant women living with HIV, 7.6% smoking during pregnancy | Risk factor analysis, matching | No description | Average |
| Olagbuji et al. (65) | 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 |
| Orloff et al. (66) | USA | High | Retrospective | 1/7/1994 to 30/6/1998 | 927 | Twins included, urban setting, 46.5% smoking, 45.8% alcohol use, 42.7% IDU | None | No description | Poor |
| Phiri et al. (67) | USA | High | Retrospective | 1/1/1994 to 31/12/2009 | 790 | 6.7% alcohol use, 25.0% smoking, 11.0% IDU | Regression analysis | LNMP, ultrasound (unspecified), and clinical assessment | Poor |
| Ramokolo et al. (68) | South Africa | Middle | Retrospective | 10/2012 to 5/2013 | 8778 | Women recruited from primary health facilities | Risk factor analysis | LNMP | Average |
| Rempis et al. (69) | Uganda | Low | Retrospective | 2/2013 to 12/2013 | 412 | Twins excluded, all deliveries in a private referral hospital | Risk factor analysis | No description | Poor |
| Rudin et al. (70) | Switzerland | High | Prospective | 1984 to 2007 | 1040 | Twins excluded, 22% smoking, 26% IDU | None | No description | Poor |
| Santosa et al. (71) | 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. (72) | USA | High | Retrospective | 2011 to 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 |
| Schulte et al. (73) | USA | High | Retrospective | 1989 to 2004 | 11231 | 27.6% history of IDU | Regression analysis | LNMP, ultrasound (unspecified), neonatal assessment (unspecified) | Poor |
| Sebitloane and Moodley (74) | 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 |
| Short et al. (75) | United Kingdom | High | Retrospective | 1996 to 2010 | 331 | Twins included, women recruited from a HIV antenatal clinic, urban setting, deliveries in a tertiary hospital,13.0% smoking | None | No description | Poor |
| Silverman (76) | Zambia | Low | Retrospective | Unspecified | 1238 | Twins included | Risk factor analysis | No description | Poor |
| Simonds et al. (77) | USA | High | Retrospective | 1985 to 12/1995 | 1366 | Twins excluded, 18.4% IDU | None | Ballard score | Poor |
| Snijdewind et al. (78) | 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. (79) | 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 |
| Townsend ECS (80) | Belgium, Denmark, Germany, Italy, Netherlands, Poland, Spain, Sweden United Kingdom | High | Prospective | 1990 to 2006 | 4253 | Twins excluded, 35.4% IDU | Regression analysis | LNMP and/or ultrasound (unspecified) | Poor |
| Townsend NSHPC (80) | United Kingdom, Ireland | High | Prospective | 1990 to 2006 | 6426 | Women recruited from 205 hospitals across UK and Ireland, 4.4% IDU | Regression analysis | No description | Poor |
| Tuomala et al. (81) | USA | High | Retrospective | 1/1/1990 to 1998 | 3266 | Twins excluded, women recruited from PACTS and WITS studies, and 3 single site studies, 39.9% tobacco use during pregnancy, 26.9% alcohol use during pregnancy, 28.7% IDU use during pregnancy | Regression analysis, risk factor analysis | LNMP and/or ultrasound (unspecified), or neonatal assessment (unspecified) | Average |
| Van der Merwe et al. (82) | South Africa | Middle | Retrospective | 10/2004 to 3/2007 | 1630 | Twins excluded, women recruited from HIV referral centres including a tertiary hospital, 3.7% smoking, 3.9% alcohol use | Regression analysis, risk factor analysis | LNMP, ultrasound (unspecified), symphysis-fundal height, neonatal assessment (unspecified) | Poor |
| Von Linstow et al. (83) | Denmark | High | Retrospective | 1/6/1994 to 30/6/2008 | 255 | Twins included, women recruited from 6 centres nationwide, all hospital deliveries, 15.4% smoking, 2.2% IDU | None | Late ultrasound at 18-20 weeks | Poor |
| Watts et al. (84) | USA and Puerto Rico | High | Retrospective | 2007 to 31/10/2010 | 1869 | Twins excluded, 17% smoking,17% smoking, 8.0% alcohol use, 8.0% IDU | Regression analysis | Clinical method (unspecified) and ultrasound (unspecified) | Average |
| Wedderburn et al. (85) | South Africa | Middle | Prospective | 5/3/2012 to 31/3/2015 | 732 | Women recruited from 2 community based antenatal care clinics, peri-urban setting, 35% smoker, 14.5% alcohol | Risk factor analysis | Ultrasound (unspecified), LNMP and symphysis-fundal height | Average |
| Wilkinson et al. (86) | Tanzania | Low | Prospective | 3/2012 to 11/2012 | 100 | Twins excluded | Risk factor analysis | LNMP, or symphysis-fundal height | Average |
| Yu et al. (87) | China | Middle | Retrospective | 6/2006 to 7/2010 | 194 | Twins excluded, 8.8% IDU | Risk factor analysis | No description | Poor |
| Zash et al. (88) | 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 |
| Ziske et al. (89) | Tanzania | Low | Prospective | 9/2008 to 9/2009 | 144 | Twins excluded, women recruited from antenatal care (HIV+ receiving ART) or maternity ward (HIV+ no ART), rural setting, hospital deliveries | Risk factor analysis | No description | Poor |
Characteristics of studies included in the systematic review and meta-analysis.
*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. ART, antiretroviral therapy; DREAM, Determined, Resilient, Empowered, AIDS-free, Mentored and Safe; ECS, European Collaborative Study; HIV, human immunodeficiency virus; HIV+, HIV positive; IDU, illicit drug use; LNMP, last normal menstrual period; MNCH, Maternal, New-born, and Child Health; NSHPC, National Study of HIV in Pregnancy and Childhood; PACTS, Perinatal AIDS Collaborative Transmission Studies; WITS, Women and Infants Transmission Study.
The ART regimens taken by WLHIV receiving ART, exposure comparisons reported, and perinatal outcomes analyzed are displayed for each study in Table 2. 41 studies (56%) reported perinatal outcomes in WLHIV receiving ART compared to WLHIV without ART, and 38 studies (52%) compared perinatal outcomes in WLHIV receiving ART with HIV-negative women. Six studies (8%) reported on both comparisons. In 32 (44%) studies ≥ 95% of women received cART in the group of WLHIV who received ART. Only five studies (7%) included WLHIV solely exposed to ZDV monotherapy. The remaining 36 studies (49%) reported on WLHIV receiving a mixture of different ART regimens (Table 2).
TABLE 2
| References | ART regimens | WLHIV with ART vs. WLHIV without ART | WLHIV with ART vs. HIV-negative women | Perinatal outcomes |
| Adam et al. (19) | ZDV-3TC dual therapy, cART (proportions/drug class(es) unspecified) | No | Yes | PTB |
| Ai-Jie and Yong-zhong (20) | 77.4% ZDV monotherapy, 22.6% NNRTI-based cART (ZDV-3TC-NVP) | Yes | No | LBW |
| Albert et al. (21) | 4.5% mono/dual/triple NRTI therapy, 17.7% NNRTI-based cART, 73.7% PI-based cART, 4.1% INSTI-based cART | Yes | No | sPTB |
| Azria et al. (22) | PI-based cART (LPV/r) | No | Yes | PTB, VPTB, SGA, VSGA, NND |
| Bailey et al. (23) | 91.3% ZDV monotherapy, 1.2% dual therapy, 7.5% cART (91.0% PI-based cART) | Yes | No | PTB |
| Balogun et al. (24) | PI-based cART (50.7% LPV/r, 31.8% ATV/r, 4.8% DRV/r) | No | Yes | sPTB, SGA |
| Bengtson et al. (25) | NNRTI-based cART (TDF-FTC/3TC-EFV) | No | Yes | PTB, SGA, VSGA |
| Boer et al. (26) | PI-/NNRTI-based cART (proportions unspecified) | No | Yes | PTB, LBW, VLBW |
| Boyajian et al. (27) | 75.0% PI-based cART, 25.0% non-PI based cART | No | Yes | PTB, LBW, SGA |
| Carceller et al. (28) | 85.4% PI-based cART, 14.6% non-PI based cART | No | Yes | PTB, Term LBW |
| Chagomerana et al. (29) | NNRTI-based cART (TDF-3TC-EFV) | Yes | No | PTB, VPTB |
| Chen et al. (30) | 58.4% ZDV monotherapy, 2.9% PI-based cART (LPV/r-ZDV-3TC), 33.5% NNRTI-based cART (NVP-ZDV-3TC) 5.2% unspecified cART | No | Yes | PTB, SGA |
| Chibwesha et al. (31) | 66.6% ZDV monotherapy, 33.4% cART (unspecified drug class(es)) | Yes | Yes | LBW |
| Cooper et al. (32) | 62.0% ZDV monotherapy, 16.2% dual therapy (96.8% 2 NRTIs, 2.2% NRTI-NNRTI, 0.5% 2 NNRTIs), 21.8% cART (NNRTI-, PI-, or NNRTI-PI based) | Yes | No | PTB, LBW |
| Cotter et al. (33) | 49.3% ZDV monotherapy, 37.3% non-PI-based cART, 13.4% PI-based cART | Yes | No | LBW, VLBW |
| Dadabhai et al. (34) | NNRTI-based cART (TDF-3TC-EFV) | No | Yes | PTB, LBW, Term LBW, Preterm LBW, SGA, VSGA |
| De Souza et al. (35) | ZDV monotherapy | Yes | No | PTB |
| Djeha et al. (36) | 85.6% PI-based ART, 14.4% non-PI-based ART (regimen complexities unspecified) | Yes | No | SGA |
| Duryea et al. (37) | 72.2% PI-based cART, 27.8% non-PI-based ART (regimen complexities unspecified) | Yes | No | PTB, SGA |
| European Collaborative Study (38) | 52.4% ZDV monotherapy, 13.4% dual therapy, 34.2% PI/non-PI based cART | Yes | No | LBW |
| Gagnon et al. (39) | 1% monotherapy, 22% non-PI-based ART, 77% PI-based ART (regimen complexities unspecified) | No | Yes | PTB, LBW, SGA |
| Garcia-Otero et al. (40) | cART (29.8% NNRTI-containing, 66.0% PI-containing, 14.9% INSTI-containing) | No | Yes | PTB, SGA, NND |
| Gibango et al. (41) | ZDV-containing dual therapy, NNRTI-based cART (proportions unspecified) | Yes | Yes | PTB, LBW, VLBW |
| Goetghebuer et al. (42) | 77.3% PI-based cART, 12.9% NNRTI-based cART, 5.3% NRTI-based cART, 4.5% other regimen | No | Yes | PTB, LBW |
| Gonzales et al. (43) | ZDV monotherapy, cART (proportions/drug class(es) unspecified) | No | Yes | PTB, LBW, NND |
| Habib et al. (44) | Unspecified ART | Yes | Yes | PTB, SGA |
| Haeri et al. (45) | cART (94% NRTI-containing, 20% NNRTI-containing, 74% PI-containing) | No | Yes | PTB, sPTB, Term LBW, SGA |
| Hernandez et al. (46) | 4.2% ZDV monotherapy, 33.3% NNRTI-based cART, 58.3% PI-based cART, 4.2% NRTI-based cART | No | Yes | SGA |
| Hofer et al. (47) | 35.2% ZDV monotherapy, 15.2% dual therapy, 15.9% NNRTI-based cART, 33.7% PI-based cART | Yes | No | PTB |
| Hu et al. (48) | 20.1% ZDV monotherapy/ZDV-3TC dual therapy, 79.9% cART (NNRTI-/PI- based) | Yes | No | PTB, SGA |
| Joseph et al. (49) | NNRTI-based cART (NVP) | Yes | No | LBW |
| Jumare et al. (50) | cART (drug class(es) unspecified) | No | Yes | LBW |
| Kakkar et al. (51) | 16.8% ZDV monotherapy, 14.5% NRTI-/NNRTI- containing dual therapy/cART, 68.7% PI-based cART | Yes | No | PTB |
| Kowalska et al. (52) | 43.2% ZDV monotherapy, 22.2% PI-based cART, 34.6% non-PI-based cART | Yes | No | PTB, LBW |
| Li et al. (10) | 61.8% ZDV monotherapy, 35.5% NNRTI-based cART, 0.6% PI-based cART, 2.1% unspecified cART | Yes | No | PTB, LBW, SGA, VSGA |
| Li et al. (53) | 24.2% mono/dual therapy, 75.8% cART (drug class(es) unspecified) | Yes | Yes | PTB, LBW, SGA |
| Liff et al. (54) | 78.0% NNRTI-based cART, 12% INSTI-based cART, 10% other cART | No | Yes | PTB |
| Lopez et al. (55) | cART (98.7% NRTI-containing, 51.3% NNRTI-containing, 59.7% PI-containing) | No | Yes | PTB, sPTB |
| Malaba et al. (56) | 71.6% NNRTI-based cART, 2.3% PI-based cART, 26.1% other cART | No | Yes | PTB, VPTB, LBW, VLBW, SGA |
| Malaba et al. (57) | 92.5% NNRTI-based cART, 2.8% PI-based cART, 4.7% other cART | No | Yes | PTB, SGA |
| Mandelbrot et al. (58) | ZDV monotherapy | Yes | No | PTB |
| Marazzi et al. (59) | NRTI-/NNRTI-based cART (proportions unspecified) | Yes | No | PTB |
| Marti et al. (60) | 15.1% ZDV monotherapy, 13.8% NRTI dual therapy, 7.9% NNRTI-based cART, 61.8% PI-based cART, 1.4% NRTI-based cART | Yes | No | PTB, LBW |
| Matheson et al. (61) | ZDV monotherapy | Yes | No | PTB |
| Mehta et al. (62) | 98.0% NNRTI-based cART, 0.9% PI-based cART, 1.1% unspecified cART | No | Yes | PTB, LBW, SGA, NND |
| Moodley et al. (63) | 27.5% ZDV monotherapy, 72.5% NNRTI-based cART | Yes | Yes | PTB, LBW, SGA |
| Moseholm et al. (64) | 13.6% NNRTI-based cART, 78.4% PI-based cART, 5.7% NRTI-based cART, 2.3% unspecified cART | No | Yes | PTB |
| Olagbuji et al. (65) | NNRTI-based cART (ZDV/3TC/NVP) | No | Yes | LBW |
| Orloff et al. (66) | NRTI(ZDV)-containing ART | Yes | No | PTB |
| Phiri et al. (67) | 20.0% ZDV monotherapy, 15.3% NRTI-NNRTI dual therapy, 21.3% NRTI dual therapy/cART, 43.4% PI-based therapy (unspecified regimen complexity) | Yes | No | PTB, SGA |
| Ramokolo et al. (68) | 38.5% ZDV monotherapy, 61.5% NNRTI-based cART (TDF-3TC/FTC-NVP) | Yes | Yes | PTB, LBW, SGA |
| Rempis et al. (69) | NNRTI-based cART (TDF-3TC-EFV) | No | Yes | SGA |
| Rudin et al. (70) | 26.4% ZDV mono/dual therapy, 61.8% PI-based cART, 11.8% non-PI-based cART | Yes | No | PTB, VPTB |
| Santosa et al. (71) | 1.6% ZDV monotherapy, 96.0% cART, 2.4% unspecified regimen | No | Yes | PTB, VPTB, LBW, VLBW, SGA, VSGA, Stillbirth, NND |
| Saums et al. (72) | 10.9% NNRTI-based cART, 54.7% PI-based cART, 34.3% INSTI-based cART | No | Yes | PTB |
| Schulte et al. (73) | 42.1% monotherapy, 16.7% dual therapy, 12.6% PI-based cART, 28.6% non-PI-based cART | Yes | No | PTB, LBW |
| Sebitloane and Moodley (74) | 36.6% ZDV monotherapy, 63.4% NNRTI-based cART | No | Yes | PTB |
| Short et al. (75) | 20.1% ZDV monotherapy, 2.2% NRTI dual therapy, 42.4% NNRTI-based cART, 29.8% PI-based cART, 1.5% NRTI-based cART, 4.0% unspecified cART | Yes | No | PTB |
| Silverman (76) | PI-based cART (ZDV-3TC-LPV/r) | Yes | No | LBW |
| Simonds et al. (77) | ZDV monotherapy | Yes | No | PTB, LBW |
| Snijdewind et al. (78) | 31.5% NNRTI-based cART, 66.7% PI-based cART, 1.8% other cART | No | Yes | PTB, VPTB, LBW, VLBW, SGA |
| Tiam et al. (79) | 96.5% NNRTI-based cART, 2.3% other cART, 2.2% no ART | No | Yes | PTB, LBW, VLBW |
| Townsend et al. (ECS) (80) | 27.8% monotherapy, 11.8% NRTI dual therapy, 36.2% PI-based cART, 24.2% non-PI-based cART | Yes | No | PTB |
| Townsend et al. (NSHPC) (80) | 16.3% monotherapy, 3.2% dual therapy, 42.0% PI-based cART, 38.5% non-PI-based cART | Yes | No | PTB |
| Tuomala et al. (81) | 74.8% ZDV monotherapy, 6.5% PI-based dual/cART, 18.7% non-PI-based dual/cART | Yes | No | PTB, VPTB, LBW, VLBW |
| Van der Merwe et al. (82) | 42.8% NNRTI-based cART, 44.5% PI-based cART, 12.7% unspecified cART | Yes | No | PTB, LBW, VLBW |
| Von Linstow et al. (83) | 12.1% ZDV monotherapy/dual therapy, 87.9% NNRTI-/PI-based cART | Yes | No | LBW |
| Watts et al. (84) | 7.6% mono/dual therapy, 8.8% NNRTI-based cART, 72.9% PI-based cART, 10.7% NRTI-based cART | Yes | No | PTB, sPTB |
| Wedderburn et al. (85) | 12.0% ZDV monotherapy, 81.0% NNRTI-based cART, 7.0% PI-based cART | No | Yes | PTB, LBW |
| Wilkinson et al. (86) | 61.3% ZDV monotherapy, 34.1% NNRTI-based cART (ZDV-3TC-EFV), 4.5% no ART | No | Yes | PTB, LBW |
| Yu et al. (87) | NNRTI-based cART | Yes | No | PTB, LBW |
| Zash et al. (88) | 72.7% NNRTI-based cART (TDF-FTC-EFV), 27.3% INSTI-based cART (TDF-FTC-DTG) | No | Yes | PTB, VPTB, SGA, VSGA, NND |
| Ziske et al. (89) | ZDV monotherapy | Yes | No | PTB |
Antiretroviral therapies, HIV/ART comparisons, and perinatal outcomes reported by studies included in the systematic review and meta-analysis.
3TC, lamivudine; ART, antiretroviral therapy; ATV/r, ritonavir-boosted atazanavir; cART, combination antiretroviral therapy (≥ 3 antiretroviral drugs); DRV/r, ritonavir-boosted darunavir; ECS, european collaborative study; EFV, efavirenz; FTC, emtricitabine; INSTI, integrase inhibitor; LBW, low birthweight; LPV/r, ritonavir-boosted lopinavir; NND, neonatal death; NNRTI, non-nucleoside transcriptase inhibitor; NRTI, nucleoside reverse transcriptase inhibitor; NSHPC, national study of HIV in pregnancy and childhood; NVP, nevirapine; PI, protease inhibitor; PTB, preterm birth; SGA, small for gestational age; sPTB, spontaneous preterm birth; TDF, tenofovir disoproxil fumarate; VLBW, very low birthweight; VPTB, very preterm birth; VSGA, very small for gestational age; WLHIV, women living with HIV; ZDV, zidovudine.
Random-effects meta-analyses were conducted to compare perinatal outcomes in WLHIV receiving ART with WLHIV without ART and HIV-negative women. The summary effect estimates are presented in Figure 2 and the forest plots in Supplementary Appendix 3. Subgroup analyses were carried out according to country income status (Figures 3A, B, E, F), and study quality (Figures 3C, D, G–I).
FIGURE 2
FIGURE 3
WLHIV receiving ART vs. WLHIV without ART
41 studies, including 288,296 women, reported on seven perinatal outcomes in WLHIV receiving ART compared to WLHIV without ART.
In the analysis of 58,020 women from 32 studies, WLHIV receiving ART were associated with a significantly decreased risk of PTB compared to WLHIV without ART (RR 0.79, 95% CI 0.67–0.93) (Figure 2A). Heterogeneity between studies was high (I2 90.1%, Supplementary Appendix 3.1), but there was no evidence of publication bias (Peters’ test, p = 0.395). The significance of this association was retained in subgroup analyses of studies conducted in HICs (0.84, 0.74–0.96) (Figure 3A) and in average quality studies (0.69, 0.51–0.94) (Figure 3C), but not in studies from LMICs or poor quality studies (Figures 3B, D). One study adjusted for covariates, which did not result in a change in the significance of the effect estimate (Supplementary Appendix 4.3).
WLHIV receiving ART were not associated with VPTB compared to WLHIV without ART (Figure 2A). However, in the one study conducted in a LMIC, a significantly decreased risk of VPTB was observed for WLHIV receiving ART (0.47, 0.29–0.77) (Figure 3B), which was not seen in studies from HICs (Figure 3A).
In the analysis of 2,346 women from two average quality studies, a significant association between WLHIV receiving ART and decreased risk of sPTB was observed, compared to WLHIV without ART (0.46, 0.32–0.66) (Figure 2A). There was no heterogeneity (I2 0.0%, Supplementary Appendix 3.1). The significance of the association was retained in subgroup analyses of studies conducted in HICs (0.45, 0.27–0.74) and LMICs (0.47, 0.27–0.80) (Figures 3A, B).
In the analysis of 74,975 women from 20 studies, WLHIV receiving ART were associated with a significantly decreased risk of LBW compared to WLHIV without ART (0.86, 0.79–0.93) (Figure 2A). A moderate level of heterogeneity was observed between studies (I2 56.1%, Supplementary Appendix 3.1), and there was no evidence of publication bias (Peters’ test, p = 0.109). The significance of the association was retained in subgroup analyses of studies conducted in HICs (0.83, 0.78–0.88) (Figure 3A), but not LMICs (Figure 3B), and in average (0.78, 0.64–0.96) and poor quality studies (0.88, 0.80–0.97) (Figures 3C, D). One study adjusted for covariates, which did not result in a change in the significance of the effect estimate (Supplementary Appendix 4.3).
In the analysis of 6,119 women from four studies, WLHIV receiving ART were associated with a significantly decreased risk of VLBW, compared to WLHIV without ART (0.62, 0.39–0.97) (Figure 2A). A moderate level of heterogeneity was observed (I2 61.9%) (Supplementary Appendix 3.1). The significance of the association was retained in subgroup analyses of studies conducted in LMICs (0.50, 0.31–0.81) (Figure 3B) and in poor quality studies (0.50, 0.36–0.71) (Figure 3D), but not in studies from HICs or average quality studies (Figures 3A, C).
In the analysis of 12,786 women from nine studies, WLHIV receiving ART were not associated with SGA compared to WLHIV without ART (Figure 2A). There was a moderate level of heterogeneity (I2 49.9%) (Supplementary Appendix 3.1) and no significant associations were seen in the subgroup analyses (Figure 3).
In the analysis of 3,232 women from one poor quality study conducted in a LMIC, WLHIV receiving ART were associated with a significantly increased risk of VSGA compared to WLHIV without ART (1.78, 1.23–2.58) (Figures 2A, 3B, D).
No data was found for WLHIV receiving ART compared to WLHIV without ART for term and preterm LBW, stillbirth, and NND.
WLHIV receiving ART vs. HIV-negative women
38 studies, including 362,978 women, reported on 11 perinatal outcomes of WLHIV receiving ART compared to HIV-negative women.
In the analysis of 153,244 women from 32 studies, WLHIV receiving ART were associated with a significantly increased risk of PTB, compared to HIV-negative women (1.42, 1.28–1.57) (Figure 2B). Heterogeneity was high (I2 86.5%, Supplementary Appendix 3.2), but there was no evidence of publication bias (Peters’ test, p = 0.371). The significant association was retained in subgroup analyses by country income status, with a higher relative risk estimate in HICs (1.94, 1.55–2.42) (Figure 3E) than LMICs (1.21, 1.12–1.30) (Figure 3F). The association was significant in average and poor quality studies (Figures 3H, I), but not the single good quality study (Figure 3G). Of the 11 studies which adjusted for covariates, only one resulted in a change in the significance of the effect estimate (Supplementary Appendix 4.1).
WLHIV receiving ART were not associated with VPTB, compared to HIV-negative women (Figure 2B). There was a high level of heterogeneity (I2 92.0%) (Supplementary Appendix 3.2).
In the analysis of 1,893 women from three studies conducted in HICs, WLHIV receiving ART were associated with a significantly increased risk of sPTB (2.10, 1.48–2.96), compared to HIV-negative women (Figures 2B, 3E). There was no heterogeneity (I2 12.5%, Supplementary Appendix 3.2). The significance of this association was retained in subgroup analyses of the single poor quality study (2.05, 1.42–2.96) (Figure 3I), but not in the average quality studies (Figure 3H). One study adjusted for covariates, which did not result in a change in the significance of the effect estimate (Supplementary Appendix 4.1).
In the analysis of 237,046 women from 20 studies, WLHIV receiving ART were associated with a significantly increased risk of LBW compared to HIV-negative women (1.58, 1.36–1.84) (Figure 2B). Heterogeneity was high (I2 90.1%, Supplementary Appendix 3.2), but there was no evidence of publication bias (Peters’ test, p = 0.407). The significant association was retained in subgroup analyses by country income status, with a higher relative risk in HICs (2.52, 1.74–3.67) (Figure 3E) than LMICs (1.35, 1.20–1.51) (Figure 3F). The association was significant in average and poor quality studies (Figures 3H, I), but not the single good quality study (Figure 3G). Of the seven studies which adjusted for covariates, this resulted in a change in the significance of the effect estimate in two studies (Supplementary Appendix 4.1).
WLHIV receiving ART were not associated with VLBW, compared to HIV-negative women (Figure 2B). There was a high level of heterogeneity (I2 91.1%, Supplementary Appendix 3.2). The association was significant for two average quality studies (3.65, 1.11–11.98) (Figure 3H).
In the analysis of 2,161 women from three studies, WLHIV receiving ART were associated with a significantly increased risk of term LBW compared to HIV-negative women (1.88, 1.23–2.85) (Figure 2B). There was no heterogeneity (I2 0.0%, Supplementary Appendix 3.2). The significance of the association was retained in subgroup analyses of average quality studies (1.89, 1.13–3.18) (Figure 3H), but not in the single poor quality study (Figure 3I). There was no significant association in subgroup analyses by country income status (Figures 3E, F).
WLHIV receiving ART were not associated with preterm LBW, compared to HIV-negative women (Figure 2B).
In the analysis of 138,907 women from 21 studies, WLHIV receiving ART were associated with a significantly increased risk of SGA compared to HIV-negative women (1.72, 1.34–2.20) (Figure 2B). Heterogeneity was high (I2 97.1%, Supplementary Appendix 3.2), but there was no evidence of publication bias (Peters’ test, p = 0.692). The significant association was retained in subgroup analyses by country income status, with a higher RR in HICs (3.47, 1.33–9.02) (Figure 3E) than LMICs (1.34, 1.18–1.54) (Figure 3F), and in good and average quality studies (Figures 3G, H), but not poor quality studies (Figure 3I). Of the ten studies which adjusted for covariates, this resulted in a change in the significance of the effect estimate in three studies (Supplementary Appendix 4.2).
In the analysis of 59,746 women from five studies, WLHIV receiving ART were associated with a significantly increased risk of VSGA, compared to HIV-negative women (1.22, 1.10–1.34) (Figure 2B). There was no heterogeneity (I2 0.0%, Supplementary Appendix 3.2). The significant association was retained in subgroup analyses of studies conducted in LMICs (1.22, 1.10–1.34) (Figure 3F), but not in the single study from a HIC (Figure 3E). The significant association was retained in subgroup analyses of average quality studies (Figure 3H), but not poor or high quality studies (Figures 3G, I). Two studies adjusted for covariates, which did not result in a change in the significance of the effect estimate (Supplementary Appendix 4.2).
WLHIV receiving ART were not associated with stillbirth, compared to HIV-negative women (Figure 2B).
WLHIV receiving ART were not associated with NND, compared to HIV-negative women (Figure 2B). However, in the one good quality study a significantly increased risk of NND was observed for WLHIV receiving ART (6.17, 1.29, 29.47) (Figure 3G).
Discussion
This meta-analysis shows that WLHIV receiving ART are associated with a significantly decreased risk of PTB, sPTB, LBW, and VLBW compared to WLHIV without ART. However, WLHIV receiving ART are associated with a significantly increased risk of PTB, sPTB, LBW, term LBW, SGA, and VSGA compared to HIV-negative women. Therefore, ART reduces the risk of adverse perinatal outcomes in pregnant WLHIV, but perinatal outcomes remain higher than in HIV-negative women.
As the proportion of pregnant WLHIV that receive ART during pregnancy continues to increase, it is an important finding that ART not only improves maternal health and reduces perinatal HIV transmission, but also improves perinatal outcomes in WLHIV. The decreased risk of PTB and LBW in WLHIV receiving ART was observed in HICs, but not in LMICs. This suggests that the benefits of ART in pregnancy may be diminished in LMIC settings, which may be attributable to initiation of ART late in pregnancy, which remains common in LMICs (14). As more WLHIV in LMICs initiate life-long ART from before pregnancy, this may further improve the perinatal outcomes of WLHIV in LMICs.
Our findings agree with a smaller meta-analysis by Shinar et al. which reported that WLHIV receiving ART are associated with a higher risk of PTB, LBW, and SGA compared to HIV-negative women (90). Our analysis includes 73 studies and examines 11 outcomes in contrast to the 27 studies and 4 outcomes examined in Shinar et al. Furthermore, our analysis examines whether ART improves perinatal outcomes in WLHIV. Our finding that WLHIV receiving ART are at increased risk of adverse perinatal outcomes compared to HIV-negative women also aligns with a previous meta-analyses reporting increased risks of adverse perinatal outcomes in WLHIV without ART (3). Importantly, the effect estimates for WLHIV receiving ART compared to HIV-negative women in the current analysis were smaller than those previously reported for WLHIV without ART compared to HIV-negative women: the relative risk of PTB for WLHIV on ART was 1.42 (1.28–1.57) compared to a relative risk of 1.63 (1.37–1.93) for WLHIV without ART; relative risk of LBW of 1.58 (1.36–1.84) for WLHIV on ART compared to 1.75 (1.52–2.02) for WLHIV without ART, and relative risk of stillbirth of 0.88 (0.34–2.32) for WLHIV on ART compared to 1.67 (1.05–2.66) for WLHIV without ART (3). This is consistent with our finding that ART improves perinatal outcomes in pregnant WLHIV women. It is noteworthy, however, that the reductions in relative risk estimates are modest and that the risks of adverse perinatal outcomes remain high in WLHIV receiving ART compared to HIV-negative women.
The increased risk for WLHIV receiving ART, compared to HIV-negative women, was found in both HICs and LMICs, and the relative risk estimates of PTB, LBW, and SGA were higher in HICs than in LMICs. This is despite the improvements of perinatal outcomes with ART in WLHIV, compared to WLHIV without ART, which were observed in HICs, but not LMICs. This may in part be due to the levels of adverse perinatal outcomes in HIV-negative women, which are low in HICs, but very high in some LMICs (71, 88).
This study has several strengths. It is the largest study to date reporting on a comprehensive range of adverse perinatal outcomes associated with WLHIV receiving ART, including 424,277 women from 73 studies. Importantly, the significant findings for PTB, LBW, and SGA were each powered by ≥20 studies with > 58,000 participants, thereby providing strong evidence for the associations found. The study was conducted according to Cochrane guidelines, with exposures and outcomes clearly defined at the outset to reduce misclassification bias and ensure consistency across studies.
This study has a number of limitations. All studies included are observational and are therefore associated with an increased risk of bias, which was extensively assessed for each study. Indeed, in studies that corrected for covariates using regression analysis, only 6 comparisons (15%) resulted in a change in significance of the effect estimate. Additionally, cohort studies may be more representative of events in the real world, compared to trials in which ART is initiated during pregnancy, often in the second or third trimester (i.e. 12, 91, 92). There were few studies (< 5) reporting on comparisons for several perinatal outcomes, including VPTB, sPTB, VLBW, term LBW, preterm LBW, VSGA, and stillbirth, which renders the results for these outcomes less reliable. 23 studies did not describe a method to estimate gestational age, and only six used first trimester ultrasound, which is the most accurate method to determine gestational age (93). Lack of accurate gestational age estimation may lead to misclassification bias for outcomes that rely on gestational age, such as PTB and SGA. Consequently, only one study was classified as “good” quality.
We included studies in which WLHIV receiving ART were exposed to any ART regimen in an effort to capture the overall effect of ART on perinatal outcomes since ART use in pregnancy was introduced. The evidence of the association of different ART regimens with adverse perinatal outcomes is conflicting (9, 13, 94). Some studies have shown an increased risk of PTB with antenatal initiation of cART compared to ZDV monotherapy (30), but this was not seen in other studies (10, 95). A recent meta-analysis suggested that ZDV monotherapy decreases the risk of PTB and LBW compared to ART-naïve WLHIV, while cART does not (96). Similarly, protease inhibitor containing cART was associated with an increased risk of PTB in a number of studies (11), but not in others (97). Preconception initiation of ART may be associated with increased risk of adverse outcomes compared to ART initiation during pregnancy, although this is disputed by others (13, 14). Differential ART regimens, as well as differences in the populations, settings, and methods to estimate gestational age between included studies, may have contributed to the heterogeneity observed in our analyses.
There is a need to determine the optimal ART regimen for use in pregnancy. Current WHO guidance recommends dolutegravir (DTG)-containing regimens as preferred first-line ART, including for women of childbearing potential and pregnant women (98). A retrospective cohort study from Botswana showed that perinatal outcomes were comparable between WLHIV receiving DTG-based and efavirenz (EFV)-based ART (88). Recent randomized controlled trials of ART regimens initiated during pregnancy showed that DTG-containing regimens had superior virological efficacy compared to EFV-based ART (91, 92), and that a regimen containing DTG, emtricitabine and tenofovir alafenamide fumarate had the lowest rate of adverse pregnancy outcomes (92).
The biological mechanisms contributing to the associations between HIV status, antenatal ART and adverse perinatal outcomes remain unclear. The pathogenesis underlying adverse perinatal outcomes is multifaceted, and the cause is often unknown (99). Our data indicate that perinatal outcomes in WLHIV receiving ART remain higher than in HIV-negative women, suggesting that adverse perinatal outcomes may be related to physiological changes resulting from HIV infection which are not reversed by ART. HIV-infection is associated with depletion of CD4+ T cells and chronic immune activation (100), which may interfere with the immunological processes of pregnancy. However, despite the success of ART in suppressing viral load, some people living with HIV never achieve full CD4+ T cell recovery (101). ART may promote a shift toward pro-inflammatory Th1 activity, counteracting the Th1 to Th2 shift required to support pregnancy (102). A number of innate immune cells, including innate lymphoid cells and mucosal associated invariant T cells, are rapidly depleted early after HIV infection, which is irreversible by institution of ART and may be associated with an increased risk of PTB (103, 104). It was reported that WLHIV receiving protease inhibitors have lower plasma progesterone levels, which was proposed as a potential mediator of adverse outcomes in WLHIV. Interestingly, a recent RCT of progesterone supplementation in pregnant WLHIV on ART (mostly NNRTI-ART, only 3% PI-ART), showed that administration of 17-alpha-hydroxyprogesterone had no effect on the primary outcomes of PTB or stillbirth, but was instead associated with a reduction in the risk of VSGA (105).
We have shown that ART reduces the risk of adverse perinatal outcomes in pregnant WLHIV, thereby supporting the WHO policy of initiation of ART at diagnosis for all people living with HIV, including pregnant women (98). However, the risk of adverse perinatal outcomes remains high in the increasing number of WLHIV who receive ART, compared to HIV-negative women, which continues to contribute to the global burden of adverse perinatal outcomes and limit progress toward achieving Sustainable Development Goal 3 (15). Further studies are urgently needed to determine the optimal ART regimen(s) in pregnancy to minimize adverse perinatal outcomes in WLHIV, elucidate the mechanism underlying adverse perinatal outcomes in WLHIV, and develop preventative and therapeutic interventions to improve perinatal outcomes in WLHIV.
Statements
Data availability statement
The original contributions presented in this study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
CP, HS, MK, and ZB screened the literature search results for relevant manuscripts and assessed their eligibility, extracted data, and conducted methodological quality assessments. CP conducted the meta-analyses, subgroup and sensitivity analyses, interpreted the data, and wrote the first draft of the manuscript. SK designed and conducted the literature search. JH conceived, designed, coordinated the study, developed the systematic review protocol, assisted with the literature search, assessment of eligibility of manuscripts, data extraction, and methodological quality assessment, designed the meta-analysis plan, interpreted the data, wrote the manuscript, had full access to all the data in the study, and had final responsibility for the decision to submit the manuscript for publication. All authors read and approved the final version of the manuscript.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2022.924593/full#supplementary-material
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Summary
Keywords
HIV, perinatal, pregnancy, antiretroviral, preterm (birth)
Citation
Portwood C, Sexton H, Kumarendran M, Brandon Z, Kirtley S and Hemelaar J (2023) Adverse perinatal outcomes associated with antiretroviral therapy in women living with HIV: A systematic review and meta-analysis. Front. Med. 9:924593. doi: 10.3389/fmed.2022.924593
Received
20 April 2022
Accepted
20 December 2022
Published
03 February 2023
Volume
9 - 2022
Edited by
Sahera Dirajlal-Fargo, Case Western Reserve University, United States
Reviewed by
Wei Li Koay, Children’s National Hospital, United States; Silvia Visentin, University of Padua, Italy
Updates
Copyright
© 2023 Portwood, Sexton, Kumarendran, Brandon, Kirtley and Hemelaar.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Joris Hemelaar, joris.hemelaar@npeu.ox.ac.uk
This article was submitted to Obstetrics and Gynecology, a section of the journal Frontiers in Medicine
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