TABLE 3.

Logistic regression analysis to predict preterm birth in pregnancies with SARS‐CoV‐2 infection

Characteristic	OR (95% CI)	p value	Adjusted OR (95% CI) a	Adjusted p value a
SARS‐CoV−2 infection status at delivery
PCR negative at delivery (n = 30 289)	Reference
PCR positive at delivery (n = 1261)	1.62 (1.34–1.93)	<0.001	1.53 (1.24–1.87)	<0.001
Symptomatic (n = 268)	3.09 (2.25–4.17)	<0.001	2.76 (1.92–3.88)	<0.001
Asymptomatic (n = 993)	1.26 (1.00–1.57)	0.04	1.23 (0.96–1.56)	0.10
Resolved prenatal SARS‐CoV‐2 infection status
PCR and antibody negative at delivery (n = 8440)	Reference
PCR negative at delivery, resolved prenatal infection (n = 1212)	1.01 (0.78–1.29)	0.96	0.94 (0.70–1.25)	0.67

Abbreviations: OR, odds ratio; PCR, polymerase chain reaction; SARS‐CoV‐2, severe acute respiratory syndrome coronavirus 2.

^a Adjusted for maternal age, race‐ethnicity, parity, history of preterm birth, body mass index (BMI), marital status, insurance type, chronic hypertension, diabetes, asthma or other chronic pulmonary disease, hypertensive disorders of pregnancy, month of delivery, and wave of pandemic. Missing data for 4.7% of BMI, 3.5% of marital status, 1.1% of parity, and 1.1% of history of preterm birth. Imputation was not performed. Complete data set was used for predictive modeling.