Non-linear and context-dependent association of maternal BMI with cumulative live birth in Chinese women undergoing intrauterine insemination: a retrospective study of 3788 cycles - Report - MDSpire
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Non-linear and context-dependent association of maternal BMI with cumulative live birth in Chinese women undergoing intrauterine insemination: a retrospective study of 3788 cycles
Clinical Report: Maternal BMI and Live Birth Rates in Chinese Women Undergoing IUI
Overview
This study investigates the complex relationship between maternal body mass index (BMI) and live birth rates in women undergoing intrauterine insemination (IUI). It highlights a non-linear association, suggesting optimal BMI thresholds for improved reproductive outcomes.
Background
Understanding the impact of maternal BMI on fertility outcomes is crucial for optimizing assisted reproductive technologies. This topic is particularly relevant given the rising rates of obesity and its implications for reproductive health. The findings may inform individualized preconception management strategies.
Data Highlights
Measure
Value
First Cycle Live Birth Odds Ratio
Not significant (P > 0.05)
Per-Cycle Pregnancy Odds Ratio
aOR 1.04, P = 0.004
Per-Cycle Live Birth Odds Ratio
aOR 1.03, P = 0.030
Optimal BMI for Live Birth Probability
~21.2 kg/m²
Cumulative Success Non-Linear Pattern
PLRT = 0.027
Key Findings
Maternal BMI showed no significant association with clinical pregnancy or live birth in the first cycle.
Per-cycle analysis revealed a modest positive correlation between BMI and pregnancy/live birth rates.
Cumulative success rates exhibited a non-linear pattern, peaking at a BMI of approximately 21.2 kg/m².
Subgroup analyses indicated heterogeneities based on basal FSH levels and treatment protocols.
Higher spontaneous abortion rates were observed in the obesity group, suggesting potential risks associated with high BMI.
Clinical Implications
Suggest practical steps for clinicians to tailor preconception management based on BMI.
Conclusion
Specify areas for future research to address gaps in understanding BMI's impact on IUI outcomes.
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