Literature DB >> 36130257

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection and Pregnancy in Sub-Saharan Africa: A 6-Country Retrospective Cohort Analysis.

Jean B Nachega1,2,3,4, Nadia A Sam-Agudu5,6,7, Rhoderick N Machekano8, Philip J Rosenthal9, Sonja Schell10, Liesl de Waard10, Adrie Bekker11, Onesmus W Gachuno12, John Kinuthia12,13, Nancy Mwongeli13, Samantha Budhram14, Valerie Vannevel15, Priya Somapillay16, Hans W Prozesky1, Jantjie Taljaard1, Arifa Parker1, Elizabeth Agyare17, Akwasi Baafuor Opoku18, Aminatu Umar Makarfi19, Asara M Abdullahi20, Chibueze Adirieje5, Daniel Katuashi Ishoso21, Michel Tshiasuma Pipo22, Marc B Tshilanda22, Christian Bongo-Pasi Nswe23,24, John Ditekemena21, Lovemore Nyasha Sigwadhi8, Peter S Nyasulu8, Michel P Hermans25, Musa Sekikubo26, Philippa Musoke27, Christopher Nsereko28, Evans K Agbeno29, Michael Yaw Yeboah19, Lawal W Umar30, Mukanire Ntakwinja31, Denis M Mukwege31, Etienne Kajibwami Birindwa32, Serge Zigabe Mushamuka32, Emily R Smith33, Edward J Mills34, John Otokoye Otshudiema35, Placide Mbala-Kingebeni36, Jean-Jacques Muyembe Tamfum36, Alimuddin Zumla37,38, Aster Tsegaye39, Alfred Mteta40, Nelson K Sewankambo41, Fatima Suleman42, Prisca Adejumo43, Jean R Anderson44, Emilia V Noormahomed45, Richard J Deckelbaum46, Jeffrey S A Stringer47, Abdon Mukalay48, Taha E Taha3, Mary Glenn Fowler49, Judith N Wasserheit50, Refiloe Masekela51, John W Mellors52, Mark J Siedner53,54, Landon Myer55, Andre-Pascal Kengne56, Marcel Yotebieng57, Lynne M Mofenson58, Eduard Langenegger10.   

Abstract

BACKGROUND: Few data are available on COVID-19 outcomes among pregnant women in sub-Saharan Africa (SSA), where high-risk comorbidities are prevalent. We investigated the impact of pregnancy on SARS-CoV-2 infection and of SARS-CoV-2 infection on pregnancy to generate evidence for health policy and clinical practice.
METHODS: We conducted a 6-country retrospective cohort study among hospitalized women of childbearing age between 1 March 2020 and 31 March 2021. Exposures were (1) pregnancy and (2) a positive SARS-CoV-2 RT-PCR test. The primary outcome for both analyses was intensive care unit (ICU) admission. Secondary outcomes included supplemental oxygen requirement, mechanical ventilation, adverse birth outcomes, and in-hospital mortality. We used log-binomial regression to estimate the effect between pregnancy and SARS-CoV-2 infection. Factors associated with mortality were evaluated using competing-risk proportional subdistribution hazards models.
RESULTS: Our analyses included 1315 hospitalized women: 510 pregnant women with SARS-CoV-2, 403 nonpregnant women with SARS-CoV-2, and 402 pregnant women without SARS-CoV-2 infection. Among women with SARS-CoV-2 infection, pregnancy was associated with increased risk for ICU admission (adjusted risk ratio [aRR]: 2.38; 95% CI: 1.42-4.01), oxygen supplementation (aRR: 1.86; 95% CI: 1.44-2.42), and hazard of in-hospital death (adjusted sub-hazard ratio [aSHR]: 2.00; 95% CI: 1.08-3.70). Among pregnant women, SARS-CoV-2 infection increased the risk of ICU admission (aRR: 2.0; 95% CI: 1.20-3.35), oxygen supplementation (aRR: 1.57; 95% CI: 1.17-2.11), and hazard of in-hospital death (aSHR: 5.03; 95% CI: 1.79-14.13).
CONCLUSIONS: Among hospitalized women in SSA, both SARS-CoV-2 infection and pregnancy independently increased risks of ICU admission, oxygen supplementation, and death. These data support international recommendations to prioritize COVID-19 vaccination among pregnant women.
© The Author(s) 2022. Published by Oxford University Press on behalf of the Infectious Diseases Society of America.

Entities:  

Keywords:  Africa; COVID-19; maternal; neonate; pregnancy

Year:  2022        PMID: 36130257      PMCID: PMC9214158          DOI: 10.1093/cid/ciac294

Source DB:  PubMed          Journal:  Clin Infect Dis        ISSN: 1058-4838            Impact factor:   20.999


Few studies have been published on the impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on pregnancy in sub-Saharan Africa (SSA). Poor maternal and child health outcomes coupled with a high prevalence of communicable and noncommunicable diseases necessitate investigation of the impact of SARS-CoV-2 in these settings [1]. Reports from mostly outside SSA suggest that SARS-CoV-2 infection in pregnant women is associated with increased risk for intensive care unit (ICU) admission, invasive ventilation, and death when compared with similar-age, nonpregnant women with SARS-CoV-2 infection [2-6]. The multinational Multi-National Prospective Cohort Study of the Effects of COVID-19 in Pregnancy and Neonatal Period (INTERCOVID) cohort study determined that SARS-CoV-2 infection in pregnancy was associated with increased maternal and neonatal morbidity and mortality, when pregnant women with (n = 706) and without (n = 1424) SARS-CoV-2 infection were compared [7]. However, it included only 2 (West) African countries (Ghana and Nigeria), representing 5% of the cohort. Consequently, INTERCOVID was not powered to assess outcomes across SSA and did not include a control group of nonpregnant women with SARS-CoV-2 infection. The African Forum for Research and Education in Health (AFREhealth) COVID-19 Research Collaboration is a multidisciplinary, pan-African consortium addressing maternal and child health issues relevant to SARS-CoV-2 [1, 8, 9]. Routine data collected as part of institutional and national coronavirus disease 2019 (COVID-19) responses are pooled from multiple countries and analyzed to inform health policy and clinical practice in SSA, where comorbidities such as human immunodeficiency virus (HIV), tuberculosis (TB), and malaria are highly prevalent and access to/availability of COVID-19 prevention and treatment is low [1, 10–12]. Here, we aimed to investigate the impact of pregnancy on SARS-CoV-2 infection and of SARS-CoV-2 infection on pregnancy in SSA and to provide evidence for vaccination and other prevention and treatment policy recommendations.

METHODS

Study Design, Participants, and Settings

We conducted a retrospective cohort study comparing clinical outcomes among 3 cohorts: (1) hospitalized pregnant women with Reverse Transcriptase–Polymerase Chain Reaction (RT-PCR)–confirmed SARS-CoV-2 infection, (2) hospitalized nonpregnant women with RT-PCR–confirmed SARS-CoV-2 infection, and (3) hospitalized pregnant women without RT-PCR–confirmed SARS-CoV-2 infection and admitted for other obstetrical or medical reasons. We pooled all available routinely collected COVID-19 data from women of childbearing age hospitalized between 1 March 2020 and 31 March 2021 from 22 sites in 6 SSA countries: the Democratic Republic of Congo, Ghana, Kenya, Nigeria, South Africa, and Uganda. Detailed information on sample size and power, participating sites, regulatory approvals, SARS-CoV-2 RT-PCR testing platforms, and STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist [13] is available in Supplementary Tables  1–5 and Supplementary Figures 3 and 4.
Table 1.

Demographic and Clinical Characteristics by Pregnancy and SARS-CoV-2 Infection Status

Study Groups
SARS-CoV-2–Infected Pregnant Women (n = 510)[a]SARS-CoV-2–Infected Nonpregnant Women (n = 403)SARS-CoV-2–Uninfected Pregnant Women (n = 402)
n%n%n%
Region
 East Africa1412813032982
 West Africa5611113184
 Central Africa79161503710125
 Southern Africa234461122818546
Age group, y
 11–17412151
 18–24831646128521
 25–34278551814521554
 35–4411027144369524
 45–491020500
 ≥5008200
Missing/unknown222
Median (IQR) age, y30 (26–35)33 (28–38)30 (25–34)
WHO COVID-19 stage at admission
 Mild1683323057N/AN/A
 Moderate8918246N/AN/A
 Severe2013912732N/AN/A
 Critical5210226N/AN/A
Gestational age at admission
 0–12 w296N/AN/A185
 13–27 w10021N/AN/A6817
 28–42+ w33672N/AN/A30879
 Missing/unknown5010
Median (IQR) length of hospital stay,[b] d8 (5–12)9 (5–15)2 (1–7)

Abbreviations: COVID-19, coronavirus disease 2019; IQR, interquartile range; N/A, not applicable; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; WHO, World Health Organization.

Includes 12 women from the Democratic Republic of the Congo cohort in the Nachega et al [16] study and 100 women from the South Africa cohort in de Waard et al [6] study.

Median length of hospital stay between pregnant and nonpregnant women with SARS-CoV-2 infection was not significant; however, there was a statistically significant difference between hospital stay for SARS-CoV-2–infected vs –uninfected pregnant women (P < .001).

Variables

The World Health Organization (WHO) COVID-19 pregnancy case report form was used to extract demographic and clinical data from national or institutional COVID-19 datasets and/or hospital charts/registers [14]. Data collected included age and pregnancy status; signs, symptoms, and WHO COVID-19 stage at admission; HIV serostatus; TB (active and past); malaria; noncommunicable disease comorbidities; general clinical outcomes; and pregnancy-specific outcomes, including miscarriage (<28 weeks’ gestation), stillbirth (>28 weeks’ gestation), prematurity (<37 weeks), low infant birth weight (<2500 g), and mode of delivery (vaginal or cesarean). For missing data on pre-existing comorbidities, we conservatively assumed that the specific comorbidity was absent, to minimize bias.

Statistical Analysis

The 2 exposures of interest for the analyses (SARS-CoV-2 effect on pregnancy and vice versa) were (1) documented pregnancy and (2) a positive SARS-CoV-2 RT-PCR test. The primary outcome was ICU admission. Secondary outcomes included supplemental oxygen, mechanical ventilation, pregnancy/birth outcomes, and maternal/perinatal in-hospital mortality. All analyses were performed using STATA software version 16.1 (StataCorp, College Station, TX, USA).

Comparison of COVID-19 Outcomes by Pregnancy Status

We summarized baseline demographic and clinical characteristics using frequencies and proportions stratified by pregnancy status (pregnant or nonpregnant). Risk ratios and associated 95% confidence intervals (CIs) estimated by log-binomial regression models were used to measure the strength of association between pregnancy and outcomes. Demographic and comorbidity variables associated with each outcome were explored using bivariable log-binomial regression models, and those with P values less than .10 were included in multivariable regression models to identify potential confounders. To further explore the effect of confounding on our estimates of pregnancy effect on each outcome, an inverse probability-of-participation–based weighting (IPPW) regression approach was also used to adjust our analysis for baseline disparities. To estimate the weights, we first fitted a logistic regression model of “pregnant” versus “not pregnant” as a function of baseline characteristics hypothesized as potential confounders, including age, region, diabetes mellitus, HIV status, and history of TB. For each patient, we then estimated the probability of pregnancy from the fitted model based on her characteristics. Finally, we estimated the statistical weight for each patient as the inverse of her estimated probability of being pregnant if the patient was pregnant, or the inverse of the probability of nonpregnancy if the patient was not pregnant. Time-to-death was evaluated by a competing risk analysis using cumulative incidence function, with patient’s hospital transfer as a competing event and hospital discharge as a censoring event. Factors associated with in-hospital mortality were estimated using Fine and Gray’s proportional subdistribution hazards model [15]. We used a multivariable proportional subdistribution hazards model to estimate the adjusted subdistribution hazard ratios (aSHRs) and associated 95% CIs. We assessed the proportionality of subhazards assumption by including time interactions on covariates in the model. Significant time × covariate interactions indicate violation of the proportionality assumption. Furthermore, we examined interactions to assess whether a synergistic effect existed between pregnancy and HIV or TB for risk of ICU admission or death among SARS-CoV-2–infected women.

Comparison of Pregnancy Outcomes by SARS-CoV-2 RT-PCR Result Status

We summarized baseline demographic and clinical characteristics using frequencies and proportions stratified by SARS-CoV-2 RT-PCR result status. A complete case analysis approach was used for the primary and secondary outcomes, since the proportion of missing primary outcomes data was low (<4%).

RESULTS

As shown on the patient flow diagrams (Supplementary Figure 1A–C) and Table 1, we analyzed data from 1315 women in 6 SSA countries, including 510 pregnant women with SARS-CoV-2 infection, 403 nonpregnant women with SARS-CoV-2 infection, and 402 pregnant women without SARS-CoV-2 infection. Demographic and Clinical Characteristics by Pregnancy and SARS-CoV-2 Infection Status Abbreviations: COVID-19, coronavirus disease 2019; IQR, interquartile range; N/A, not applicable; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; WHO, World Health Organization. Includes 12 women from the Democratic Republic of the Congo cohort in the Nachega et al [16] study and 100 women from the South Africa cohort in de Waard et al [6] study. Median length of hospital stay between pregnant and nonpregnant women with SARS-CoV-2 infection was not significant; however, there was a statistically significant difference between hospital stay for SARS-CoV-2–infected vs –uninfected pregnant women (P < .001).

Comparison of SARS-CoV-2–Infected Women by Pregnancy Status

Demographics and Clinical Characteristics at Admission

Pregnant women were younger than nonpregnant women, with a median age of 30 years in both pregnant SARS-CoV-2–infected and –uninfected women compared with 33 years in nonpregnant, SARS-CoV-2–infected women (Table 1). The geographic distribution of 913 women with RT-PCR–confirmed SARS-CoV-2 infection was 271 (30%), 67 (7%), 229 (25%), and 346 (38%) from East, West, Central, and Southern Africa regions, respectively. Most pregnant women (46%) with SARS-CoV-2 were from Southern Africa, whereas most nonpregnant women (37.2%) with SARS-CoV-2 were from Central Africa. Most (71.5%) pregnant women with SARS-CoV-2 and known gestational age at admission were in the third trimester (Table 1). At admission, among 913 SARS-CoV-2–infected women, 43.6% had mild, 12.4% moderate, 35.9% severe, and 8.1% had critical COVID-19. Pregnant women were more likely to present with critical or severe disease than nonpregnant women (50% vs 37%, respectively; P < .001).

Signs, Symptoms, and Comorbidities

Several symptoms or comorbidities were more common in SARS-CoV-2–infected pregnant (vs nonpregnant) women: cough (318/489 [65%] vs 229/396 [58%]; P = .028), history of previous TB (21/510 [4%] vs 6/403 [2%]; P = .02), HIV infection (107/510 [21%] vs 30/403 [7%]; P < .001), and acute malaria (15/510 [3%] vs 2/403 [1%]; P = .017). Nonpregnant women were more likely to have fever (145/391 [37%] vs 144/478 [30%]; P = .03), chest pain (70/239 [29%] vs 66/407 [16%]; P < .001), diarrhea (23/248 [9%] vs 21/470 [4%]; P = .011), and a history of diabetes mellitus (39/403 [10%] vs 24/510 [5%]; P = .003). Regional comorbidity distribution is shown in Supplementary Table 6.

Clinical Outcomes

Among 913 hospitalized women with SARS-CoV-2 infection, 1.3% had undocumented outcomes. Among 901 women with documented outcomes, 85.8% were discharged, 8.0% died, 3.6% were transferred to another facility, and 2.7% remained hospitalized at the end of data collection. Patient flow diagrams (Supplementary Figure 1–) show the proportion of women who were admitted to an ICU, received supplemental oxygen or mechanical ventilation, or died, by pregnancy and SARS-CoV-2 infection status. Figure 1 highlights key unadjusted findings: pregnant women with SARS-CoV-2 infection were significantly more likely than nonpregnant women with SARS-CoV-2 infection to be admitted to an ICU, require supplemental oxygen, and die in-hospital. The ICU admission rates among women with SARS-CoV-2 infection varied by region: 22% in West Africa, 14% in Southern Africa, 11% in East Africa, and in 10% Central Africa. Regional differences in supplemental oxygen requirement, invasive ventilation, and mortality were also noted (Supplementary Figure 2).
Figure 1.

Clinical outcomes among pregnant SARS-CoV-2–infected compared with nonpregnant SARS-CoV-2–infected and pregnant SARS-CoV-2–uninfected women (total N = 1315). Abbreviations: ICU, intensive care unit; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Clinical outcomes among pregnant SARS-CoV-2–infected compared with nonpregnant SARS-CoV-2–infected and pregnant SARS-CoV-2–uninfected women (total N = 1315). Abbreviations: ICU, intensive care unit; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. Supplementary Table 7 shows the association between potential confounders and pregnancy before and after adjusting with IPPW. Figure 2 shows the unadjusted (A) and IPPW-adjusted (B) comparison of outcomes between hospitalized pregnant and nonpregnant women with SARS-CoV-2 infection. Adjusting for differences in age, HIV status, diabetes, region, and history of previous TB, being pregnant was associated with a significantly higher risk of ICU admission (adjusted RR [aRR] = 2.38; 95% CI: 1.42–4.01). More pregnant than nonpregnant women received supplemental oxygen, adjusting for baseline differences (aRR = 1.81; 95% CI: 1.30–2.50). Among SARS-CoV-2–infected women, 51 (10%) pregnant women died, compared with 21 (5%) nonpregnant women. In unadjusted analyses, pregnancy increased the risk of death by more than 90% (RR = 1.94; 95% CI: 1.19–3.17). In IPPW-adjusted analyses, pregnancy remained marginally associated with a higher risk of mortality (aRR = 1.66; 95% CI: .95–2.88).
Figure 2.

Unadjusted (A) and adjusted (B) comparisons of outcomes between pregnant (n = 510) and nonpregnant (n = 403) women with SARS-CoV-2 infection. Unadjusted (C) and adjusted (D) comparisons of outcomes between SARS-CoV-2–infected pregnant women (n = 510) and SARS-CoV-2–uninfected pregnant women (n = 402). Note: The analysis supporting panels B and D used IPPW to adjust confounding. Abbreviations: aRR, adjusted risk ratio; CI, confidence interval; ICU, intensive care unit; IPPW, inverse probability of participation-based weighting; RR, risk ratio; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Unadjusted (A) and adjusted (B) comparisons of outcomes between pregnant (n = 510) and nonpregnant (n = 403) women with SARS-CoV-2 infection. Unadjusted (C) and adjusted (D) comparisons of outcomes between SARS-CoV-2–infected pregnant women (n = 510) and SARS-CoV-2–uninfected pregnant women (n = 402). Note: The analysis supporting panels B and D used IPPW to adjust confounding. Abbreviations: aRR, adjusted risk ratio; CI, confidence interval; ICU, intensive care unit; IPPW, inverse probability of participation-based weighting; RR, risk ratio; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. Table 2 summarizes factors associated with ICU admission for all women with SARS-CoV-2 infection, after adjusting for pregnancy status and region. Living with HIV, history of previous TB, diabetes, and sickle cell disease were independently associated with higher risk of ICU admission. Adjusting for pregnancy status and region, women with multiple (>1) comorbidities had a significantly higher risk of ICU admission compared with women without comorbidities. No synergistic interaction was observed between pregnancy and HIV or TB for risk of ICU admission or death among SARS-CoV-2–infected women.
Table 2.

Factors Associated With Intensive Care Unit Admission Among Pregnant and Nonpregnant Women With SARS-CoV-2 Infection

VariablenAdmitted to ICU, n (%)Unadjusted RR (95% CI) P Adjusted RR[a] (95% CI) P
Pregnancy status
 Nonpregnant40327 (7)11
 Pregnant51095 (19)2.78 (1.85–4.18)<.0012.73 (1.74–4.28)<.001
Region
 East Africa27131 (11)11
 West Africa6715 (22)1.96 (1.12–3.41).0181.13 (.56–2.26).73
 Central Africa17617 (10)0.99 (.61–1.62).981.17 (.68–2.01).56
 Southern Africa34650 (14)1.26 (.83–1.92).270.76 (.44–1.30).32
Age group, y
 11–17111 (9)1
 18–2420420 (10).55 (.08–3.62).54
 25–3462259 (10)0.74 (.12–4.49).74
 35–4434936 (10)0.73 (.12–4.52).74
 45–49212 (10)0.57 (.06–5.27).62
 50+83 (8)2.25 (.30–16.63).43
WHO disease stage
 Mild/moderate51116 (3)1
 Severe/critical402106 (26)8.42 (5.06–14.01)<.001
HIV-positive status
 No77690 (12)11
 Yes13732 (23)2.01 (1.40–2.89)<.0011.94 (1.18–3.18).009
HIV-1 RNA Viral Load
 Undetectable4712 (26)1
 Detectable134 (31)1.21 (.47–3.12).70
CD4 count, cells/mm3
 ≥2007516 (21)1
 <200257 (28)1.31 (0.9–2.82).49
History of TB
 No886112 (13)11
 Yes2710 (37)2.93 (1.74–4.93)<.0012.32 (1.17–4.58).015
Hypertension
 No78396 (12)11
 Yes13026 (20)1.63 (1.10–2.41).0141.37 (.82–2.31).23
Diabetes mellitus
 No850107 (13)11
 Yes6315 (24)1.89 (1.18–3.04).0092.01 (1.04–3.86).036
Chronic neurological disorder
 No911121 (13)11
 Yes21 (50)3.76 (.93–15.20).061.02 (.12–8.49).99
Chronic cardiac disease
 No897117 (13)11
 Yes165 (31)2.40 (1.14–5.05).0431.76 (.66–4.70).26
Chronic pulmonary disease
 No909119 (13)11
 Yes43 (75)5.73 (3.17–10.34)<.0011.90 (.53–6.82).32
Acute malaria
 No898119 (13)1
 Yes153 (20)1.51 (.54–4.21).43
Asplenia due to sickle cell disease
 No909119 (13)11
 Yes43 (75)5.73 (3.18–10.34)<.0016.23 (1.67–23.29).007
Cancer
 No910121 (13)1
 Yes31 (33)2.51 (.50–12.53).26

Abbreviations: CI, confidence interval; COVID-19, coronavirus disease 2019; HIV, human immunodeficiency virus; ICU, intensive care unit; RR, risk ratio; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; TB, tuberculosis; WHO, World Health Organization.

Log-binominal regression model adjusted for pregnancy status, age, region, noncommunicable disease (chronic cardiac disease, hypertension, diabetes mellitus, chronic pulmonary diseases, chronic neurologic diseases, asplenia), and communicable disease (HIV status and history of tuberculosis) comorbidities. WHO COVID-19 staging is not included in multivariable analyses because its components are in the causal pathway of the primary ordinal outcome.

Factors Associated With Intensive Care Unit Admission Among Pregnant and Nonpregnant Women With SARS-CoV-2 Infection Abbreviations: CI, confidence interval; COVID-19, coronavirus disease 2019; HIV, human immunodeficiency virus; ICU, intensive care unit; RR, risk ratio; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; TB, tuberculosis; WHO, World Health Organization. Log-binominal regression model adjusted for pregnancy status, age, region, noncommunicable disease (chronic cardiac disease, hypertension, diabetes mellitus, chronic pulmonary diseases, chronic neurologic diseases, asplenia), and communicable disease (HIV status and history of tuberculosis) comorbidities. WHO COVID-19 staging is not included in multivariable analyses because its components are in the causal pathway of the primary ordinal outcome. Supplementary Table 8 shows associations between demographic and clinical factors and the hazard of in-hospital mortality in all women with SARS-CoV-2 infection, using Fine and Gray’s model. In this competing risk analysis, being pregnant was significantly associated with an increased hazard of in-hospital death (Figure 3). Furthermore, adjusting for pregnancy status and region, chronic kidney disease, asthma, and diabetes were independently associated with risk of death. Women with multiple comorbidities were at increased risk of death compared with those without comorbidities (Figure 3). Residing in Southern or West Africa was associated with higher risk of mortality compared with East African residence (Figure 3).
Figure 3.

Cumulative incidence functions for in-hospital mortality in SARS-CoV-2–infected women according to pregnancy status (A), number of comorbidities (B), region (C), and by SARS-CoV-2 infection status in pregnant women (D). Abbreviations: aSHR, adjusted sub-distribution hazard ratio; CI, confidence interval; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Cumulative incidence functions for in-hospital mortality in SARS-CoV-2–infected women according to pregnancy status (A), number of comorbidities (B), region (C), and by SARS-CoV-2 infection status in pregnant women (D). Abbreviations: aSHR, adjusted sub-distribution hazard ratio; CI, confidence interval; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2.

Comparison of Pregnant Women by SARS-CoV-2 Infection Status

Demographics, Clinical Characteristics, and Mortality

We compared 510 SARS-CoV-2–infected pregnant women (Supplementary Figure 1) with 402 SARS-CoV-2–uninfected pregnant women (Supplementary Figure 1). There were no significant differences in demographic and clinical characteristics between SARS-CoV-2–infected and –uninfected pregnant women, except for regional residence, as shown in Table 1. Figure 2 shows the unadjusted (C) and IPPW-adjusted (D) comparisons of ICU admission, need for supplemental oxygen, mechanical ventilation, and death between pregnant SARS-CoV-2–infected and –uninfected women. SARS-CoV-2 infection increased the risk of ICU admission, receiving oxygen supplementation, and maternal death. In a competing risk analysis, SARS-CoV-2–infected (vs uninfected) pregnant women had a 5-times greater hazard of in-hospital death (Figure 3).

Pregnancy and Perinatal Outcomes

Among 510 SARS-CoV-2–infected pregnant women, 32% had not delivered at the time of data collection and 19% had missing information; among 402 SARS-CoV-2–uninfected pregnant women, 5% had not delivered at the time of data collection and 9% had missing information. Among 250 SARS-CoV-2–infected pregnant women with documented pregnancy outcomes, 213 (85%) had live births and 37 (15%) experienced fetal loss (14 miscarriages, 2 induced abortions, and 21 stillbirths) (Supplementary Table 9). Among 345 SARS-CoV-2–uninfected pregnant women with documented pregnancy outcomes, 302 (88%) had live births and 43 (12%) experienced fetal loss (24 miscarriages, 2 induced abortions, and 17 stillbirths). Cesarean delivery was more frequent among SARS-CoV-2–infected than –uninfected women (RR = 1.56; 95% CI: 1.29–1.89), and the proportions of preterm (69/213 [32%] vs 94/302 [31%], respectively; P = .87) and low-birth-weight infants (72/213 [34%] vs 97/314 [31%]; P = .71) were similar. Early neonatal in-hospital death occurred among 4% and 3% infants of SARS-CoV-2–infected and –uninfected mothers, respectively (RR = 1.46; 95% CI: .56–3.84).

DISCUSSION

In this large multicountry cohort analysis in SSA, we found that, among women with SARS-CoV-2 infection, pregnancy independently increased the risk of in-hospital morbidity (ICU admission or supplemental oxygen requirement) and, in competing risk analyses, increased hazard of in-hospital death. Among pregnant women, SARS-CoV-2 infection independently increased the risk of ICU admission, oxygen supplementation, and death. Furthermore, among all (pregnant and nonpregnant) women with SARS-CoV-2 infection, HIV infection, prior TB, sickle cell anemia, and nongestational diabetes increased the risk of ICU admission. Similar to our findings, the 18-country INTERCOVID study (including Ghana and Nigeria) reported higher risks of ICU admission and mortality among pregnant women with (n = 706) compared with without (n = 1424) SARS-CoV-2 infection [7]. However, unlike our study, INTERCOVID included nonhospitalized asymptomatic women and did not include nonpregnant women with SARS-CoV-2 infection. Analysis of 2 smaller cohorts of SARS-CoV-2–positive pregnant women from the Democratic Republic of Congo (N = 12) and Ethiopia (N = 27) did not find associations between pregnancy and adverse outcomes, likely due to small numbers and/or lack of control groups [16, 18], and an initial US retrospective cohort study found pregnancy associated with higher morbidity but not mortality [19]. In contrast, in a US Centers for Disease Control and Prevention report on a larger cohort of women (23 434 pregnant and 386 028 nonpregnant) with SARS-CoV-2 infection, pregnancy was associated with a 1.7 times (95% CI: 1.2–2.4) increased risk of mortality in adjusted analyses [2]. Similarly, a Mexican study including more than 260 000 SARS-CoV-2–infected women found that pregnancy increased the risk of death among women aged 15 to 44 years by 61% [17]. These large studies corroborate our findings: in an adjusted competing-risk analysis, pregnancy increased the hazard of maternal death 2-fold among SARS-CoV-2–infected women. Pregnant and nonpregnant women with SARS-CoV-2 infection who were living with HIV or had a prior history of TB had a nearly 2-fold increased risk of ICU admission compared with those without these chronic infections. Published data on the impact of HIV on SARS-CoV-2 infection outcomes have been conflicting [6, 20, 21]. However, a recent data analysis by the WHO found that HIV in hospitalized adults was independently associated with a 1.29 times higher risk of death from SARS-CoV-2 infection after adjusting for age, sex, and underlying conditions [22]. Our finding of an association between prior TB and COVID-19 severity may reflect decreased pulmonary reserve due to post-TB sequelae, as described by Tadolini et al [23]. The finding of higher rates of acute malaria in pregnant compared with nonpregnant women with SARS-CoV-2 infection was expected, as pregnant women are more susceptible to malaria due to hormonal and immunological changes [24]. We also found higher rates of diabetes mellitus among nonpregnant compared with pregnant women with SARS-CoV-2 infection, but a lack of detailed data limits interpretation. Furthermore, the association between sickle cell anemia and ICU admission calls for further investigation on the impact of asplenia and hemoglobinopathy on COVID-19. Finally, we found a higher risk of ICU admission and/or supplemental oxygen use and mortality in Southern and West Africa compared withEastern Africa, which may reflect regional differences in health system capacities (Southern Africa has the strongest health infrastructure and higher capacity for ICU admissions) and/or severity of SARS-CoV-2 infection related to variant virulence, regional prevalence of HIV infection (highest in Southern Africa), or other unmeasured confounding factors. With regard to pregnancy-specific outcomes, we found a high rate of cesarean delivery among SARS-CoV-2–uninfected pregnant women. This is likely attributable to our study sites, which comprise referral hospitals where cesarean rates are typically higher than in local hospitals and clinics. SARS-CoV-2–uninfected women were tested secondary to suspected COVID-19 symptoms in our study and may represent a group at higher risk for pregnancy complications compared with pregnant women in general due to other unmeasured factors. Data on whether SARS-CoV-2 infection is a risk factor for stillbirth are inconsistent [4, 25–27]. Among pregnant women with known pregnancy outcomes in our cohort, the rates of stillbirth, miscarriage, preterm birth, and low birth weight did not differ based on SARS-CoV-2 infection status. However, our analyses are likely underpowered and are in contrast to INTERCOVID results, which documented that pregnant women with SARS-CoV-2 infection had higher rates of preterm birth and stillbirth [7]. Our study had some limitations. First, the retrospective cohort design limited collection of some variables of interest (eg, body mass index) and relied on pooling of available pregnancy data at the time of retrieval from heterogeneous sites in SSA. The establishment of a pregnancy COVID-19 registry has proved challenging in SSA. However, the WHO has set up a global COVID-19 pregnancy prospective cohort study from multiple countries (including in Africa) that will minimize recorder bias [28]. Second, given that comparison groups were not evenly distributed geographically, some identified differences might be explained by regional variations (eg, HIV prevalence and health infrastructure). Third, we studied only symptomatic women whose symptoms prompted SARS-CoV-2 RT-PCR testing and hospitalization, which included heterogenous control groups with a range of illnesses that could also be associated with adverse pregnancy outcomes, potentially leading to a dilution of differences. Finally, our findings are not necessarily generalizable to asymptomatic pregnant women with SARS-CoV-2 infection who were not hospitalized. Our findings have important clinical and public health implications. First, given the increased morbidity and mortality in both pregnant and nonpregnant women with SARS-CoV-2 infection and in pregnant women with and without SARS-CoV-2 infection [4, 29–31], pregnant women (among other at-risk groups) should be prioritized for COVID-19 vaccination in African countries, where vaccine supply is limited but steadily increasing [32, 33]. Although pregnancy was an exclusion criterion in early COVID-19 vaccine and SARS-CoV-2 treatment trials, more trials are enrolling pregnant women [34], preliminary reports do not demonstrate safety issues for pregnant women receiving mRNA vaccines [35, 36], and several systematic reviews find that COVID-19 vaccination in pregnant and lactating individuals is immunogenic, safe with respect to vaccine-related adverse events and obstetrical and neonatal outcomes, and effective [37-40]. Finally, further research is needed to better understand the pathogenesis and optimal management of SARS-CoV-2 infection in pregnancy.

Supplementary Data

Supplementary materials are available at Clinical Infectious Diseases online. Consisting of data provided by the authors to benefit the reader, the posted materials are not copyedited and are the sole responsibility of the authors, so questions or comments should be addressed to the corresponding author. Click here for additional data file.
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1.  Risk factors associated with adverse fetal outcomes in pregnancies affected by Coronavirus disease 2019 (COVID-19): a secondary analysis of the WAPM study on COVID-19.

Authors:  Daniele Di Mascio; Cihat Sen; Gabriele Saccone; Alberto Galindo; Amos Grünebaum; Jun Yoshimatsu; Milan Stanojevic; Asım Kurjak; Frank Chervenak
Journal:  J Perinat Med       Date:  2020-12-02       Impact factor: 1.901

2.  Risk Factors for Coronavirus Disease 2019 (COVID-19) Death in a Population Cohort Study from the Western Cape Province, South Africa.

Authors: 
Journal:  Clin Infect Dis       Date:  2021-10-05       Impact factor: 9.079

Review 3.  Safety of components and platforms of COVID-19 vaccines considered for use in pregnancy: A rapid review.

Authors:  Agustín Ciapponi; Ariel Bardach; Agustina Mazzoni; Tomás Alconada; Steven A Anderson; Fernando J Argento; Jamile Ballivian; Karin Bok; Daniel Comandé; Emily Erbelding; Erin Goucher; Beate Kampmann; Ruth Karron; Flor M Munoz; María Carolina Palermo; Edward P K Parker; Federico Rodriguez Cairoli; Victoria Santa María; Andy S Stergachis; Gerald Voss; Xu Xiong; Natalia Zamora; Sabra Zaraa; Mabel Berrueta; Pierre M Buekens
Journal:  Vaccine       Date:  2021-08-13       Impact factor: 3.641

4.  Maternal mortality from COVID 19 among South African pregnant women.

Authors:  Jayati Kusari Basu; Lawrence Chauke; Terrance Magoro
Journal:  J Matern Fetal Neonatal Med       Date:  2021-03-22

5.  Effect of SARS-CoV-2 Infection in Pregnancy on Maternal and Neonatal Outcomes in Africa: An AFREhealth Call for Evidence through Multicountry Research Collaboration.

Authors:  Jean B Nachega; Nadia A Sam-Agudu; Samantha Budhram; Taha E Taha; Valerie Vannevel; Priya Somapillay; Daniel Katuashi Ishoso; Michel Tshiasuma Pipo; Christian Bongo-Pasi Nswe; John Ditekemena; Birhanu T Ayele; Rhoderick N Machekano; Onesmus W Gachuno; John Kinuthia; Nancy Mwongeli; Musa Sekikubo; Philippa Musoke; Evans Kofi Agbeno; Lawal W Umar; Mukanire Ntakwinja; Denis M Mukwege; Emily R Smith; Eduard J Mills; John Otokoye Otshudiema; Placide Mbala-Kingebeni; Jean-Marie N Kayembe; Don Jethro Mavungu Landu; Jean-Jacques Muyembe Tamfum; Alimuddin Zumla; Eduard J Langenegger; Lynne M Mofenson
Journal:  Am J Trop Med Hyg       Date:  2020-12-28       Impact factor: 2.345

Review 6.  COVID-19 preparedness: capacity to manufacture vaccines, therapeutics and diagnostics in sub-Saharan Africa.

Authors:  Bisi Bright; Chinedum Peace Babalola; Nadia Adjoa Sam-Agudu; Augustine Anayochukwu Onyeaghala; Adebola Olatunji; Ufuoma Aduh; Patrick O Sobande; Trevor A Crowell; Yenew Kebede Tebeje; Sunny Phillip; Nicaise Ndembi; Morenike Oluwatoyin Folayan
Journal:  Global Health       Date:  2021-03-03       Impact factor: 4.185

7.  The incidence, characteristics and outcomes of pregnant women hospitalized with symptomatic and asymptomatic SARS-CoV-2 infection in the UK from March to September 2020: A national cohort study using the UK Obstetric Surveillance System (UKOSS).

Authors:  Nicola Vousden; Kathryn Bunch; Edward Morris; Nigel Simpson; Christopher Gale; Patrick O'Brien; Maria Quigley; Peter Brocklehurst; Jennifer J Kurinczuk; Marian Knight
Journal:  PLoS One       Date:  2021-05-05       Impact factor: 3.240

8.  Update: Characteristics of Symptomatic Women of Reproductive Age with Laboratory-Confirmed SARS-CoV-2 Infection by Pregnancy Status - United States, January 22-October 3, 2020.

Authors:  Laura D Zambrano; Sascha Ellington; Penelope Strid; Romeo R Galang; Titilope Oduyebo; Van T Tong; Kate R Woodworth; John F Nahabedian; Eduardo Azziz-Baumgartner; Suzanne M Gilboa; Dana Meaney-Delman
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-11-06       Impact factor: 17.586

9.  COVID-19 vaccine access in Africa: Global distribution, vaccine platforms, and challenges ahead.

Authors:  Marguerite Massinga Loembé; John N Nkengasong
Journal:  Immunity       Date:  2021-07-13       Impact factor: 31.745

10.  Clinical Characteristics and Outcomes of Patients Hospitalized for COVID-19 in Africa: Early Insights from the Democratic Republic of the Congo.

Authors:  Jean B Nachega; Daniel Katuashi Ishoso; John Otshudiema Otokoye; Michel P Hermans; Rhoderick Neri Machekano; Nadia A Sam-Agudu; Christian Bongo-Pasi Nswe; Placide Mbala-Kingebeni; Joule Ntwan Madinga; Stéphane Mukendi; Marie Claire Kolié; Edith N Nkwembe; Gisele M Mbuyi; Justus M Nsio; Didier Mukeba Tshialala; Michel Tshiasuma Pipo; Steve Ahuka-Mundeke; Jean-Jacques Muyembe-Tamfum; Lynne Mofenson; Gerald Smith; Edward J Mills; John W Mellors; Alimuddin Zumla; Don Jethro Mavungu Landu; Jean-Marie Kayembe
Journal:  Am J Trop Med Hyg       Date:  2020-10-02       Impact factor: 3.707

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