| Literature DB >> 36130257 |
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.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
Demographic and Clinical Characteristics by Pregnancy and SARS-CoV-2 Infection Status
| Study Groups | ||||||
|---|---|---|---|---|---|---|
| SARS-CoV-2–Infected Pregnant Women (n = 510)[ | SARS-CoV-2–Infected Nonpregnant Women (n = 403) | SARS-CoV-2–Uninfected Pregnant Women (n = 402) | ||||
| n | % | n | % | n | % | |
| Region | ||||||
| East Africa | 141 | 28 | 130 | 32 | 98 | 2 |
| West Africa | 56 | 11 | 11 | 3 | 18 | 4 |
| Central Africa | 79 | 16 | 150 | 37 | 101 | 25 |
| Southern Africa | 234 | 46 | 112 | 28 | 185 | 46 |
| Age group, y | ||||||
| 11–17 | 4 | 1 | 2 | 1 | 5 | 1 |
| 18–24 | 83 | 16 | 46 | 12 | 85 | 21 |
| 25–34 | 278 | 55 | 181 | 45 | 215 | 54 |
| 35–44 | 110 | 27 | 144 | 36 | 95 | 24 |
| 45–49 | 1 | 0 | 20 | 5 | 0 | 0 |
| ≥50 | 0 | 8 | 2 | 0 | 0 | |
| Missing/unknown | 2 | 2 | 2 | |||
| Median (IQR) age, y | 30 (26–35) | 33 (28–38) | 30 (25–34) | |||
| WHO COVID-19 stage at admission | ||||||
| Mild | 168 | 33 | 230 | 57 | N/A | N/A |
| Moderate | 89 | 18 | 24 | 6 | N/A | N/A |
| Severe | 201 | 39 | 127 | 32 | N/A | N/A |
| Critical | 52 | 10 | 22 | 6 | N/A | N/A |
| Gestational age at admission | ||||||
| 0–12 w | 29 | 6 | N/A | N/A | 18 | 5 |
| 13–27 w | 100 | 21 | N/A | N/A | 68 | 17 |
| 28–42+ w | 336 | 72 | N/A | N/A | 308 | 79 |
| Missing/unknown | 5 | 0 | 10 | |||
| Median (IQR) length of hospital stay,[ | 8 (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).
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.
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.
Factors Associated With Intensive Care Unit Admission Among Pregnant and Nonpregnant Women With SARS-CoV-2 Infection
| Variable | n | Admitted to ICU, n (%) | Unadjusted RR (95% CI) |
| Adjusted RR[ |
|
|---|---|---|---|---|---|---|
| Pregnancy status | ||||||
| Nonpregnant | 403 | 27 (7) | 1 | 1 | ||
| Pregnant | 510 | 95 (19) | 2.78 (1.85–4.18) | <.001 | 2.73 (1.74–4.28) | <.001 |
| Region | ||||||
| East Africa | 271 | 31 (11) | 1 | 1 | ||
| West Africa | 67 | 15 (22) | 1.96 (1.12–3.41) | .018 | 1.13 (.56–2.26) | .73 |
| Central Africa | 176 | 17 (10) | 0.99 (.61–1.62) | .98 | 1.17 (.68–2.01) | .56 |
| Southern Africa | 346 | 50 (14) | 1.26 (.83–1.92) | .27 | 0.76 (.44–1.30) | .32 |
| Age group, y | ||||||
| 11–17 | 11 | 1 (9) | 1 | … | ||
| 18–24 | 204 | 20 (10) | .55 (.08–3.62) | .54 | … | |
| 25–34 | 622 | 59 (10) | 0.74 (.12–4.49) | .74 | … | |
| 35–44 | 349 | 36 (10) | 0.73 (.12–4.52) | .74 | … | |
| 45–49 | 21 | 2 (10) | 0.57 (.06–5.27) | .62 | … | |
| 50+ | 8 | 3 (8) | 2.25 (.30–16.63) | .43 | … | |
| WHO disease stage | ||||||
| Mild/moderate | 511 | 16 (3) | 1 | … | ||
| Severe/critical | 402 | 106 (26) | 8.42 (5.06–14.01) | <.001 | … | |
| HIV-positive status | ||||||
| No | 776 | 90 (12) | 1 | 1 | ||
| Yes | 137 | 32 (23) | 2.01 (1.40–2.89) | <.001 | 1.94 (1.18–3.18) | .009 |
| HIV-1 RNA Viral Load | ||||||
| Undetectable | 47 | 12 (26) | 1 | … | ||
| Detectable | 13 | 4 (31) | 1.21 (.47–3.12) | .70 | … | |
| CD4 count, cells/mm3 | ||||||
| ≥200 | 75 | 16 (21) | 1 | … | ||
| <200 | 25 | 7 (28) | 1.31 (0.9–2.82) | .49 | … | |
| History of TB | ||||||
| No | 886 | 112 (13) | 1 | 1 | ||
| Yes | 27 | 10 (37) | 2.93 (1.74–4.93) | <.001 | 2.32 (1.17–4.58) | .015 |
| Hypertension | ||||||
| No | 783 | 96 (12) | 1 | 1 | ||
| Yes | 130 | 26 (20) | 1.63 (1.10–2.41) | .014 | 1.37 (.82–2.31) | .23 |
| Diabetes mellitus | ||||||
| No | 850 | 107 (13) | 1 | 1 | ||
| Yes | 63 | 15 (24) | 1.89 (1.18–3.04) | .009 | 2.01 (1.04–3.86) | .036 |
| Chronic neurological disorder | ||||||
| No | 911 | 121 (13) | 1 | 1 | ||
| Yes | 2 | 1 (50) | 3.76 (.93–15.20) | .06 | 1.02 (.12–8.49) | .99 |
| Chronic cardiac disease | ||||||
| No | 897 | 117 (13) | 1 | 1 | ||
| Yes | 16 | 5 (31) | 2.40 (1.14–5.05) | .043 | 1.76 (.66–4.70) | .26 |
| Chronic pulmonary disease | ||||||
| No | 909 | 119 (13) | 1 | 1 | ||
| Yes | 4 | 3 (75) | 5.73 (3.17–10.34) | <.001 | 1.90 (.53–6.82) | .32 |
| Acute malaria | ||||||
| No | 898 | 119 (13) | 1 | … | ||
| Yes | 15 | 3 (20) | 1.51 (.54–4.21) | .43 | … | |
| Asplenia due to sickle cell disease | ||||||
| No | 909 | 119 (13) | 1 | 1 | ||
| Yes | 4 | 3 (75) | 5.73 (3.18–10.34) | <.001 | 6.23 (1.67–23.29) | .007 |
| Cancer | ||||||
| No | 910 | 121 (13) | 1 | … | ||
| Yes | 3 | 1 (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.
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.