ORIGINAL ARTICLE |
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Year : 2020 | Volume
: 7
| Issue : 1 | Page : 92-98 |
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Variation of post trigger LH, progesterone and HCG levels with BMI and its impact on recovery rates of oocytes during IVF/ICSI cycles
Mohita Gupta1, Surveen Ghumman2, Shalini Chawla Khanna2, Sandesh Patel2
1 IVF & Reproductive Medicine, Medicover Fertility, New Delhi, India 2 Department of IVF & Reproductive Medicine, Max Hospital Panchsheel Park, New Delhi, India
Correspondence Address:
Dr. Mohita Gupta G-28, Tej Bagh Colony, Patiala, Punjab India
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/2394-4285.288721
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Aims and Objectives: To assess the variation in post trigger LH, progesterone and HCG levels with BMI after agonist/HCG trigger during ART cycles and its impact on recovery rate of oocytes. Material and Methods: A prospective study was conducted at Max Multispeciality Hospital Panchsheel Park, New Delhi from May 2018 – Feb 2019. A total of 101 patients (51 in agonist trigger and 50 in HCG trigger group) met the inclusion and exclusion criteria, were enrolled after taking written consent. Agonist trigger patients received either decapepty l0.3 mg or lupride 3 mg trigger. HCG trigger group received ovitrelle 500 mcg. Trigger day and 10–12 hours post trigger LH, progesterone and HCG was done and its correlation to BMI and recovery rates was analyzed. P value <0.05 was considered significant. Results: BMI showed significant negative correlation with post trigger LH levels (P=0.047), LH rise (P=0.036) in group 1 and post trigger HCG levels in group 2 (P=0.026) levels. When BMI was categorized into 4 groups, in group 1, post trigger progesterone showed decreasing trend with increasing BMI (P=0.05) with comparable recovery rates but in group 2, post trigger HCG, progesterone levels and recovery rates were found to drop as BMI increased >30 kg/m2. Conclusion: BMI should be considered while deciding dose of the trigger keeping in mind the variation of Post trigger LH, progesterone and HCG levels with BMI. Further large randomized controlled trails are required to validate the results found in this study.
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