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Indicators of Cardiometabolic Function in Pregnancy and Long-Term Risk of COVID-19: Population-Based Cohort Study
Joel G Ray1,2, Eyal Cohen3, Emily Ana Butler4
1Obstetrical Medicine, University of Toronto, Toronto, CAN.
Insights
Metabolic dysfunction markers during pregnancy, such as higher body mass index (BMI) and glucose levels, predict severe COVID-19 risk later. These indicators identify women at increased risk for adverse outcomes post-pregnancy.
Area of Science:
- Reproductive Health
- Infectious Disease Epidemiology
- Metabolic Health
Background:
- Pregnancy elevates women's risk of severe COVID-19, particularly those with metabolic dysfunction.
- The association between common pregnancy-assessed metabolic dysfunction markers and postpartum COVID-19 severity is not well understood.
Purpose of the Study:
- To investigate if metabolic dysfunction indicators measured during pregnancy predict the risk of severe COVID-19 after childbirth.
- To evaluate the relationship between body mass index (BMI), glucose challenge test results, and gestational age at delivery with subsequent COVID-19 outcomes.
Main Methods:
- A population-based cohort study in Ontario included 417,713 women with hospital births between April 2007 and March 2018.
- Key exposures included higher body mass index (BMI), elevated glucose challenge test concentrations, and earlier gestational age at delivery.
- Severe COVID-19 illness or death from March 2020 to December 2021 was the primary outcome.
Main Results:
- Increased BMI, higher glucose levels, and earlier delivery gestational age were associated with a higher adjusted hazard ratio (aHR) for COVID-19 illness.
- The aHR for severe COVID-19 increased significantly with the number of risk factors present (one factor: 1.60, two factors: 3.34, three factors: 4.52).
Conclusions:
- The quantity and severity of standard metabolic indicators assessed during pregnancy are predictive of future severe COVID-19 risk.
- These findings highlight the importance of monitoring metabolic health during pregnancy for long-term health surveillance.
Background:
Pregnancy increases a woman's susceptibility to severe COVID-19, especially those with metabolic dysfunction. It is unknown if markers of metabolic dysfunction commonly assessed around pregnancy are associated with COVID-19 illness after pregnancy.
Aim:
The aim of this study is to evaluate the indicators of metabolic dysfunction collected in pregnancy and the future risk of severe COVID-19 after pregnancy.
Methods:
This population-based cohort study was completed in all of Ontario, comprising 417,713 women aged 15-49 years with a hospital birth between April 2007 and March 2018. The main exposure was each 1-kg/m2 higher body mass index (BMI), 1-mmol/L higher glucose concentration at the 50-g glucose challenge test, and one-week earlier gestational week at delivery. The main outcome was severe COVID-19 illness or death, from the start of the pandemic period on March 1, 2020, till December 31, 2021.
Results:
The adjusted hazard ratio (aHR) of COVID-19 illness increased per 1-kg/m2 higher BMI (1.05, 95% CI 1.04-1.06), per 1-mmol/L higher serum glucose concentration (1.16, 95% CI 1.10-1.22), and for each one-week earlier gestational week at delivery (1.12, 95% CI 1.03-1.23). Relative to women with no dichotomized risk factors, the aHR for severe COVID-19 was 1.60 (95% CI 1.28-2.01) with one factor, 3.34 (95% CI 2.51-4.44) with two factors, and 4.52 (95% CI 2.11-9.67) with three factors.
Conclusions:
The number, and degree, of standard metabolic indicators measured around pregnancy predict the future risk of severe COVID-19 remotely after that pregnancy.
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