Preterm delivery is more common in women with SARS-CoV-2 infection. We sought to determine which factors in a woman's history or symptoms were associated with either spontaneous or iatrogenic delivery prior to 37 weeks. Variables included demographics, symptomatology, pregnancy information and co-morbidities. Backward stepwise logistic regression in Stata 16.0 was used for modelling. Of 1606 women whose details were registered with the UK and international PAN-COVID study from January 1st to July 25th 2020, 1147 had complete records for the defined set of predictors for preterm delivery. Details of the prediction model is detailed in table 1. For a one-unit increase in the risk factor, the odds of preterm delivery increase or decrease by a factor equivalent to the value of the odds ratio (OR). Confidence intervals for co-morbidities were wide due to small number of women with these conditions. For ethnicity, the odds of preterm delivery decrease by a factor of 0.54 for European/North American compared to non-European/North American women. These data, for the first time, provide granular detail in relation to the likelihood of preterm delivery in SARS-CoV-2 infection This may help in risk assessing pregnant women for public health interventions. In terms of symptoms, anosmia and myalgia are associated with a decrease in the odds of preterm delivery. All co-morbidities are associated with an increase in the odds of preterm delivery, this risk being notably high for women with pre-existing diabetes.
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