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. 2023 May 24;2(2):e00035. doi: 10.1097/PN9.0000000000000035

Table 5.

Assessment of competing risk of preterm birth for pre-eclampsia among all participants.

PTB among no pre-eclampsia Pre-eclampsia among no PTB Competing risk regression for pre-eclampsia
Adjusted models§ Hazards ratio (95% CI) P value Hazards ratio (95% CI) P value Hazards ratio* (95% CI) P value
Opioids 1.39 (1.01, 1.90) 0.04 1.69 (1.06, 2.70) 0.03 1.03 (0.80, 1.34) 0.80
Cocaine 1.34 (0.85, 2.11) 0.20 0.47 (0.11, 1.97) 0.30 0.76 (0.39, 1.49) 0.43
Cannabis 1.01 (0.76, 1.34) 0.93 0.79 (0.49, 1.27) 0.33 1.11 (0.77, 1.61) 0.56
Alcohol 1.04 (0.85, 1.28) 0.68 0.95 (0.72, 1.27) 0.75 0.87 (0.71, 1.07) 0.19
Tobacco 1.29 (1.08, 1.54) 0.006 0.81 (0.63, 1.04) 0.10 0.85 (0.71, 1.02) 0.07
Polysubstance score 1.18 (1.08, 1.29) <0.001 0.93 (0.81, 1.08) 0.34 0.88 (0.80, 0.97) 0.01
*

Fine-Gray subdistribution hazards model with preterm birth as the competing risk, and pre-eclampsia (mild, moderate, or severe) as the main outcome of interest. For all hazards models conducted, the gestational age was the time metric.

Polysubstance score was an unweighted sum of the number of substances used in order to estimate the aggregate burden of substance use in pregnancy.

§

Adjusted for maternal age, maternal pre-pregnancy BMI, yearly income, educational status, immigration history, parity, and sex of the child. Gestational age was the time metric for Cox regression. BMI, body mass index; CI, confidence interval; PTB, preterm birth.