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 - Scorecard - 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 Scorecard: Complex and Contextual Relationship Between Maternal BMI and Live Birth Rates in Chinese Women Undergoing Intrauterine Insemination: A Retrospective Analysis of 3788 Cycles
At a Glance
Category
Detail
Condition
Maternal Body Mass Index (BMI) and Intrauterine Insemination (IUI) Outcomes
Key Mechanisms
Non-linear association between maternal BMI and cumulative IUI success
Target Population
Chinese women undergoing IUI
Care Setting
Fertility clinics
Key Highlights
No significant association of maternal BMI with clinical pregnancy or live birth in the first cycle.
Modest positive correlation found in per-cycle analysis for pregnancy (aOR 1.04) and live birth (aOR 1.03).
Cumulative success shows a non-linear pattern with live birth probability increasing until a BMI of approximately 21.2 kg/m².
Higher spontaneous abortion rates observed in the obesity group (29.03%).
Subgroup analyses indicate heterogeneities based on basal FSH levels and treatment protocols.
Guideline-Based Recommendations
Diagnosis
Evaluate maternal BMI as part of preconception assessment in IUI candidates.
Management
Consider individualized preconception management based on maternal BMI.
Monitoring & Follow-up
Monitor live birth rates and spontaneous abortion rates in relation to maternal BMI.
Risks
Increased risk of spontaneous abortion in women with higher BMI.
Patient & Prescribing Data
Women undergoing IUI treatment in fertility clinics.
BMI should be considered when developing treatment protocols for IUI.
Clinical Best Practices
Assess BMI and its implications for IUI success during initial consultations.
Utilize non-linear models to understand BMI's impact on fertility outcomes.