| Literature DB >> 33580293 |
Juan Arnaez1,2, Carlos Ochoa-Sangrador3, Sonia Caserío4, Elena Pilar Gutiérrez5, Maria Del Pilar Jiménez6, Leticia Castañón7, Marta Benito8, Ana Peña9, Natalio Hernández10, Miryam Hortelano11, Susana Schuffelmann12, M Teresa Prada13, Pablo Diego14, F Joaquín Villagómez15, Alfredo Garcia-Alix16,17,18.
Abstract
Preliminary data in Europe have suggested a reduction in prematurity rates during the COVID-19 pandemic, implying that contingency measures could have an impact on prematurity rates. We designed a population-based prevalence proportion study to explore the potential link between national lockdown measures and a change in preterm births and stillbirths. Adjusted multivariate analyses did not show any decrease in preterm proportions during the lockdown period with respect to the whole prelockdown period or to the prelockdown comparison periods (2015-2019): 6.5% (95%CI 5.6-7.4), 6.6% (95%CI 6.5-6.8), and 6.2% (95%CI 5.7-6.7), respectively. Proportions of preterm live births did not change during lockdown when different gestational age categories were analyzed, nor when birthweight categories were considered. No differences in stillbirth rates among the different study periods were found: 0.33% (95%CI 0.04-0.61) during the lockdown period vs. 0.34% (95%CI 0.22-0.46) during the prelockdown comparison period (2015-2019).Entities:
Keywords: COVID-19; Infant; Lockdown; Pandemic; Prematurity; Stillbirth
Mesh:
Year: 2021 PMID: 33580293 PMCID: PMC7880019 DOI: 10.1007/s00431-021-03984-6
Source DB: PubMed Journal: Eur J Pediatr ISSN: 0340-6199 Impact factor: 3.183
Distribution of live births stratified by gestational age categories and live newborn birthweight categories and stillbirths throughout the study periods
| Lockdown period | Deescalation period | Lockdown and deescalation period | Prelockdown comparison period | All prelockdown period | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| March 15–May 3 (2020)a | May 4–June 21 (2020)b | March 15–June 21 (2020) | March 15–May 3 (2015–2019) | January 1, 2015–March 14, 2020 | ||||||
| % (95% CI) | % (95% CI) | % (95% CI) | % (95% CI) | % (95% CI) | ||||||
| GA (weeks + days)a | ||||||||||
| ≥ 42 + 0 | 4 | 0.27 (0.01–0.53) | 2 | 0.13 (0.05–0.32) | 6 | 0.20 (0.04–0.36) | 15 | 0.17 (0.09–0.26) | 126 | 0.19 (0.16–0.23) |
| 37 + 0 to 41 + 6 | 1410 | 93.56 (92.32–94.80) | 1394 | 93.06 (91.77–94.34) | 2804 | 93.31 (92.42–94.20) | 8152 | 93.59 (93.08–94.11) | 61037 | 93.19 (93.00–93.38) |
| < 37 + 0 | 93 | 6.17 (4.96–7.39) | 102 | 6.81 (5.53–8.08) | 195 | 6.49 (5.61–7.37) | 543 | 6.23 (5.73–6.74) | 4333 | 6.64 (6.45–6.83) |
| 32 + 0 to 36 + 6 | 79 | 5.24 (4.12–6.37) | 91 | 6.07 (4.87–7.28) | 170 | 5.66 (4.83–6.48) | 471 | 5.41 (4.93–5.88) | 3760 | 5.74 (5.56–5.92) |
| 28 + 0 to 31 + 6 | 6 | 0.40 (0.08–0.72) | 8 | 0.53 (0.16–0.90) | 14 | 0.47 (0.22–0.71) | 43 | 0.50 (0.35–0.65) | 392 | 0.60 (0.54–0.66) |
| 23 + 0 to 27 + 6 | 8 | 0.53 (0.16–0.90) | 3 | 0.20 (0.03–0.43) | 11 | 0.37 (0.15–0.58) | 29 | 0.34 (0.22–0.46) | 181 | 0.28 (0.24–0.32) |
| VLBW | 17 | 1.11 (0.59–1.64) | 13 | 0.85 (0.39–1.32) | 30 | 0.98 (0.63–1.33) | 66 | 0.76 (0.58–0.95) | 653 | 0.98 (0.91–1.05) |
| ELBW | 10 | 0.65 (0.25–1.06) | 4 | 0.26 (0.01–0.52) | 14 | 0.46 (0.22–0.70) | 25 | 0.29 (0.18–0.40) | 224 | 0.34 (0.29–0.38) |
| Stillbirthsb | 5 | 0.33 (0.04–0.61) | 9 | 0.59 (0.20–0.97) | 14 | 0.46 (0.22–0.70) | 30 | 0.34 (0.22–0.46) | 295 | 0.44 (0.39–0.49) |
GA gestational age, VLBW very low birth weight (< 1500 g), ELBW extremely low birth weight (< 1000 g)
aGestational age of two births and birthweight of 17 infants could not be retrieved and were not included in the table
bStillbirths included deaths ≥ 23 +0 weeks’ gestational age
Fig. 1Preterm birth percentages stratified by gestational age categories twelve weeks before and after the start of lockdown (March 15, 2020) are expressed in weeks + days. The Y axis shows the percentage of premature births per total number of births. The X axis shows the time in weeks before and after the “start week” (March 15 to March 22, 2020)
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