DEMOGRAPHIC AND CLINICAL PREDICTORS OF INDUCTION-ABORTION INTERVAL IN SECOND-TRIMESTER MEDICAL ABORTION WITH MISOPROSTOL: A RANDOMIZED CONTROLLED TRIAL ANALYSIS

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Ishu Mehta
Ashish Kumar
Drishti Rana
Anjali Soni
Mamta Mahajan
Manmeet Saini
Abhinav Gautam

Keywords

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Abstract

Objective: To identify demographic and clinical factors influencing the induction-abortion interval (IAI) among women undergoing second-trimester medical abortion with vaginal misoprostol.


Methods: This prospective randomized controlled trial enrolled 60 women (18–40 years, 13–24 weeks gestation, singleton pregnancy) who received mifepristone 200 mg orally followed by vaginal misoprostol administered as either a loading-dose regimen (Group A, n=30) or a non-loading regimen (Group B, n=30). Baseline demographic and clinical variables including age, body mass index (BMI), gravidity, parity, gestational age, abortion indication, and prior obstetric history were recorded. The primary outcome was the induction-abortion interval (hours from first misoprostol dose to complete abortion). Univariate and multivariate analyses assessed predictors of IAI.


Results: Median IAI was significantly shorter in the loading-dose group compared to the non-loading group (7.88 hours [IQR 7.02–9.03] vs. 13.21 hours [IQR 11.64–15.74], p<0.001).


On univariate analysis, greater gestational age and primigravida status were associated with longer IAI, while parity, age, BMI, indication, and prior abortions were not significant predictors.


Multivariate regression revealed that only the use of a vaginal misoprostol loading-dose regimen (β = −4.7 hours, p<0.001) and lower gestational age (β = +0.14 hours per day increase, p=0.03) independently predicted a shorter IAI.


No significant influence of age, BMI, abortion indication, or previous obstetric history on IAI was observed.


Conclusion: Use of a vaginal misoprostol loading dose and earlier gestational age are independent predictors of shorter induction-abortion interval in second-trimester medical abortion, aiding optimized clinical counseling and management.

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