Prevalence of Preterm Birth Rate During COVID-19 Lockdown in a Tertiary Care Hospital, Riyadh

Roya Huseynova1, Latifa Bin Mahmoud1, Adli Abdelrahim1

  • 1Neonatal Intensive Care Unit, King Saud Medical City, Riyadh, SAU.

Cureus
|April 5, 2021
PubMed

Insights

The COVID-19 lockdown significantly reduced premature births, particularly extremely preterm infants, by 23% overall. This study highlights the lockdown

Area of Science:

  • Neonatalogy
  • Public Health
  • Epidemiology

Background:

  • The first COVID-19 case in Saudi Arabia was reported on March 3, 2020, leading to government-imposed lockdown measures and travel restrictions from March to June 2020.
  • The pandemic posed a significant public health risk, prompting investigations into its various impacts.
  • A distinctive coronavirus was isolated from 190,823 patients by June 30, 2020.

Purpose of the Study:

  • To evaluate the impact of the COVID-19 lockdown on the rate of premature births in Saudi Arabia.
  • To compare preterm birth rates before and during the strict lockdown period.

Main Methods:

  • A cross-sectional study was conducted observing premature births at a tertiary care Neonatal Intensive Care Unit (NICU).
  • Birth rates of preterm infants during March 1–June 30, 2020 (lockdown period) were compared to the same calendar months from 2017–2019.
  • Poisson regression models assessed temporal trends in preterm birth rates.

Main Results:

  • A 23% overall reduction in preterm birth rate was observed during the lockdown period.
  • Significant reductions were noted in extremely preterm births (<28 weeks) by 36% and moderate/late preterm births (32-36 weeks) by 26%.
  • While preterm birth rates showed an increasing tendency among Saudi expatriates compared to Saudi nationals, this was not statistically significant during the lockdown.

Conclusions:

  • The COVID-19 lockdown was associated with a significant decrease in the birth rates of extremely preterm and moderate/late preterm infants.
  • Further research utilizing a national dataset is recommended to comprehensively assess the lockdown's full impact on preterm birth rates.

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