1887
Volume 2022, Issue 4
  • ISSN: 0253-8253
  • EISSN: 2227-0426

Abstract

Background: The novel coronavirus disease 2019 (COVID-19) pandemic has had consequences on the pregnant population, as disease severity is associated with the quality of maternal health and pregnancy complications, increasing maternal and neonatal morbidity. Worldwide descriptive data help describe risk factors that could predict symptomatic and severe COVID-19 in pregnancy.

Objectives: To describe demographic features and risk factors of pregnant women with COVID-19 in Qatar and compare symptomatic versus asymptomatic disease.

Study design and methodology: Clinical characteristics and risk factors of pregnant women with COVID-19 in Qatar from March 2020 to March 2021 was retrospectively reviewed, comparing the cohort with the general pregnant population. Crude and adjusted odds ratios (aORs) were computed, comparing symptomatic versus asymptomatic infection.

Results: Of the 500 women, 347 reported at least one symptom at diagnosis (347/500; 69.4%). The majority fell in the 30–39 years age group (241/500; 48%), with more than half in the obese body mass index (BMI) category. The cohort was 66% (332/500) Qatari women, compared with the 26% expected in the population (26.4% vs 66.4%  < 0.001). Compared with the 2019 national statistics, the number of women was higher in the >40 years age group (5% vs 7.6%,  = 0.027) and grand multiparous group (5.4% vs 13.6%,  < 0.001). The symptom most commonly reported by the symptomatic group was cough (276/500; 55%), followed by fever, fatigue, and myalgia. In the adjusted analysis, the symptomatic group had 2.7 times higher odds of being asthmatic (OR = 2.67, 95% CI 1.1–6.7,  = 0.037). Women aged >40 years had 6.6 times higher odds of symptomatic disease (aOR = 6.6, 95% CI 1.08–39.73,  = 0.041). A history of contact with a patient with symptomatic COVID and earlier gestational age at diagnosis increased the odds (aOR = 2.06, 95% CI 1.2–3.54,  = 0.009; aOR = 0.73 95% CI 0.57–0.96;  = 0.017).

Conclusions: This study cohort included significantly more Qatari women, older women, grand multiparous women, a higher proportion with pre-existing and gestational diabetes, and higher BMI than national data. In addition, contact to a patient with symptomatic disease, history of asthma, older age, and earlier gestational age at diagnosis were significantly associated with symptomatic disease.

Loading

Article metrics loading...

/content/journals/10.5339/qmj.2022.52
2022-11-15
2024-11-09
Loading full text...

Full text loading...

/deliver/fulltext/qmj/2022/4/qmj.2022.52.html?itemId=/content/journals/10.5339/qmj.2022.52&mimeType=html&fmt=ahah

References

  1. WHO. WHO Coronavirus (COVID-19) Dashboard. WHO Coronavirus (COVID-19) Dashboard with Vaccination Data [Internet]. Who. 2021 [cited 2021 Jun 22]. p. 1–5. Available from: covid19.who.int.
  2. da Rosa Mesquita R, Francelino Silva Junior LC, Santos Santana FM, et al.. Clinical manifestations of COVID-19 in the general population: systematic review. Wien Klin Wochenschr. 2021; 133:(7-8):377–382. 10.1007/s00508-020-01760-4.
    [Google Scholar]
  3. Zhu J, Ji P, Pang J, et al.. Clinical characteristics of 3062 COVID-19 patients: A meta-analysis. J Med Virol. 2020; 92:(10):1902–1914. doi: 10.1002/jmv.25884.
    [Google Scholar]
  4. Wolff D, Nee S, Hickey NS, Marschollek M. Risk factors for Covid-19 severity and fatality: a structured literature review. Infection. 2021; 49:(1):15–28. doi: 10.1007/s15010-020-01509-1.
    [Google Scholar]
  5. Mor G, Cardenas I. The immune system in pregnancy: a unique complexity. Am J Reprod Immunol. 2010; 63:(6):425–433. doi: 10.1111/j.1600-0897.2010.00836.x.
    [Google Scholar]
  6. LoMauro A, Aliverti A. Respiratory physiology of pregnancy: Physiology masterclass. Breathe (Sheff). 2015; 11:(4):297–301. doi: 10.1183/20734735.008615.
    [Google Scholar]
  7. Allotey J, Stallings E, Bonet M, et al.. Clinical manifestations, risk factors, and maternal and perinatal outcomes of coronavirus disease 2019 in pregnancy: living systematic review and meta-analysis. BMJ. 2020; 370:m3320. Published 2020 Sep 1. doi: 10.1136/bmj.m3320.
    [Google Scholar]
  8. Mullins E, Hudak ML, Banerjee J, et al.. Pregnancy and neonatal outcomes of COVID-19: coreporting of common outcomes from PAN-COVID and AAP-SONPM registries. Ultrasound Obstet Gynecol. 2021; 57:(4):573–581. doi: 10.1002/uog.23619.
    [Google Scholar]
  9. RCOG. Information for healthcare professionals Coronavirus (COVID-19) Infection in Pregnancy. 2021.
  10. Fertility rate, total (births per woman) - Middle East & North Africa. | Data [Internet] [cited 2021 Jun 23]. Available from: https://data.worldbank.org/indicator/SP.DYN.TFRT.IN?locations=ZQ.
  11. World Health Organization. Coronavirus disease (COVID-19) [Internet]. [cited 2021 Oct 18]. Available from: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/question-and-answers-hub/q-a-detail/coronavirus-disease-covid-19.
  12. World Health organization. Obesity and overweight [Internet]. [cited 2021 Oct 18]. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
  13. Al-Shaikh GK, Ibrahim GH, Fayed AA, et al.. Grand multiparity and the possible risk of adverse maternal and neonatal outcomes: a dilemma to be deciphered. BMC Pregnancy Childbirth. 2017; 17:(1):310. Published 2017 Sep 19. doi: 10.1186/s12884-017-1508-0.
    [Google Scholar]
  14. Planning and Statistics Authority. Annual Abstract [Internet]. Vital Statistics Annual Bullettin Births and Deaths 2019. [cited 2021 Oct 18]. Available from: https://www.psa.gov.qa/en/statistics1/StatisticsSite/Pages/StatisticalAbstract.aspx.
  15. Stata | StataCorp LLC [Internet]. [cited 2021 Oct 18]. Available from: https://www.stata.com/company/.
  16. The COVID-19 Sex-Disaggregated Data Tracker | Global Health 50/50 [Internet] [cited 2021 Oct 19]. Available from: https://globalhealth5050.org/the-sex-gender-and-covid-19-project/the-data-tracker/?explore=country&country=Qatar#search.
  17. Omrani AS, Almaslamani MA, Daghfal J, et al.. The first consecutive 5000 patients with Coronavirus Disease 2019 from Qatar; a nation-wide cohort study. BMC Infect Dis. 2020; 20:(1):777. Published 2020 Oct 19. doi: 10.1186/s12879-020-05511-8.
    [Google Scholar]
  18. Pathan SA, Thomas CE, Bhutta ZA, et al.. Qatar Prediction Rule Using ED Indicators of COVID-19 at Triage. Qatar Med J. 2021; 2021:(2):18. Published 2021 Aug 11. doi: 10.5339/qmj.2021.18.
    [Google Scholar]
  19. Bashir M, E Abdel-Rahman M, Aboulfotouh M, et al.. Prevalence of newly detected diabetes in pregnancy in Qatar, using universal screening. PLoS One. 2018; 13:(8):e0201247. Published 2018 Aug 3. doi: 10.1371/journal.pone.0201247.
    [Google Scholar]
  20. All pregnant women in Qatar are screened for diabetes: Official - The Peninsula Qatar [Internet]. [cited 2021 Oct 19]. Available from: https://thepeninsulaqatar.com/article/23/11/2020/All-pregnant-women-in-Qatar-are-screened-for-diabetes-Official.
  21. Bayoumi MAA, Masri RM, Matani NYS, et al.. Maternal and neonatal outcomes in mothers with diabetes mellitus in qatari population [published correction appears in BMC Pregnancy Childbirth. 2021 Nov 16;21(1):773]. BMC Pregnancy Childbirth. 2021; 21:(1):651. Published 2021 Sep 24. doi: 10.1186/s12884-021-04124-6.
    [Google Scholar]
  22. Jafari M, Pormohammad A, Sheikh Neshin SA, et al.. Clinical characteristics and outcomes of pregnant women with COVID-19 and comparison with control patients: A systematic review and meta-analysis. Rev Med Virol. 2021; 31:(5):1–16. doi: 10.1002/rmv.2208.
    [Google Scholar]
  23. Maducolil MK, Al-Obaidly S, Olukade T, et al.. Preeclampsia: incidence, determinants, and pregnancy outcomes from maternity hospitals in Qatar: a population-based case-control study [published online ahead of print, 2021 Jun 10] J Matern Fetal Neonatal Med. 2021; 1–9. doi: 10.1080/14767058.2021.1937983.
    [Google Scholar]
  24. Abdulmalik MA, Ayoub JJ, Mahmoud A, et al.. Pre-pregnancy BMI, gestational weight gain and birth outcomes in Lebanon and Qatar: Results of the MINA cohort. PLoS One. 2019; 14:(7):e0219248. Published 2019 Jul 2. doi: 10.1371/journal.pone.0219248.
    [Google Scholar]
  25. Aydın GA, Ünal S, Özsoy HGT. The effect of gestational age at the time of diagnosis on adverse pregnancy outcomes in women with COVID-19. J Obstet Gynaecol Res. 2021; 47:(12):4232–4240. doi: 10.1111/jog.15051.
    [Google Scholar]
  26. Chinn J, Sedighim S, Kirby KA, et al.. Characteristics and Outcomes of Women With COVID-19 Giving Birth at US Academic Centers During the COVID-19 Pandemic. JAMA Netw Open. 2021; 4:(8):e2120456. Published 2021 Aug 2. doi: 10.1001/jamanetworkopen.2021.20456.
    [Google Scholar]
  27. Ibrahim WH, Rasul F, Ahmad M, et al.. Asthma knowledge care, and outcome during pregnancy: The QAKCOP study. Chron Respir Dis. 2019; 16:1479972318767719. doi: 10.1177/1479972318767719.
    [Google Scholar]
  28. Zambrano LD, Ellington S, Strid P, et al.. 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. MMWR Morb Mortal Wkly Rep. 2020; 69:(44):1641-1647. Published 2020 Nov 6. doi: 10.15585/mmwr.mm6944e3.
    [Google Scholar]
/content/journals/10.5339/qmj.2022.52
Loading
/content/journals/10.5339/qmj.2022.52
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error