Glucose Circadian Rhythm Disruption is Associated with Preeclampsia DOI Creative Commons
Rafael Bravo, Kyung‐Ha Lee,

S. Nazeer

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

ABSTRACT Background There is emerging evidence of an association between circadian rhythms disruption and pregnancy complications. Preeclampsia a leading cause maternal death during pregnancy, the role in predicting preeclampsia not well understood. Objective Our aim was to determine whether glucose rhythm associated with can be used predict this disorder. Methods We analyzed dataset 92 recruited individuals Continuous Glucose Monitoring (CGM) data recorded at 24.62 (sd = 4.97) weeks gestational age. To study rhythmicity, we performed cosinor analysis using packages cosinor2 , calculated non-parametric variables nparACT package R. Furthermore, multiple component detect internal oscillations identify postprandial peaks CosinorPy Python. Results 71 participants (20 women preeclampsia) had sufficient for studying rhythmicity performing components peaks. found that all exhibited significant their oscillation. developed model including time difference first peak last one, L5 start-time (time which five consecutive hours lowest average levels start) age predictive incidence (AUC: 0.80 95%CI: 0.69-0.91, specificity= 0.88, sensitivity 0.37). Patients diagnoses from reduced amplitude (p < 0.05) less robust rhythmicity. Conclusion conclude evaluating may help earlier identification preeclampsia.

Language: Английский

Glucose Circadian Rhythm Disruption is Associated with Preeclampsia DOI Creative Commons
Rafael Bravo, Kyung‐Ha Lee,

S. Nazeer

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

ABSTRACT Background There is emerging evidence of an association between circadian rhythms disruption and pregnancy complications. Preeclampsia a leading cause maternal death during pregnancy, the role in predicting preeclampsia not well understood. Objective Our aim was to determine whether glucose rhythm associated with can be used predict this disorder. Methods We analyzed dataset 92 recruited individuals Continuous Glucose Monitoring (CGM) data recorded at 24.62 (sd = 4.97) weeks gestational age. To study rhythmicity, we performed cosinor analysis using packages cosinor2 , calculated non-parametric variables nparACT package R. Furthermore, multiple component detect internal oscillations identify postprandial peaks CosinorPy Python. Results 71 participants (20 women preeclampsia) had sufficient for studying rhythmicity performing components peaks. found that all exhibited significant their oscillation. developed model including time difference first peak last one, L5 start-time (time which five consecutive hours lowest average levels start) age predictive incidence (AUC: 0.80 95%CI: 0.69-0.91, specificity= 0.88, sensitivity 0.37). Patients diagnoses from reduced amplitude (p < 0.05) less robust rhythmicity. Conclusion conclude evaluating may help earlier identification preeclampsia.

Language: Английский

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