Literature DB >> 31990458

Moderate-to-severe ovarian hyperstimulation syndrome: A retrospective multivariate logistic regression analysis in Chinese patients.

Tianzhong Ma1, Yanru Niu1, Bing Wei1, Lihua Xu1, Lin Zou1, Xiaoqun Che1, Xiao Wang1, Di Tang1, Riyan Huang1, Bi Chen1.   

Abstract

BACKGROUND: Ovarian hyperstimulation syndrome (OHSS), a life-threatening complication occurring in stimulated ovarian cycles, arises from treatment with gonadotropin for inducing follicular maturation.
OBJECTIVES: The aim of this study was to compare the risk factors between patients with severe OHSS and those without OHSS after in vitro fertilization by intracytoplasmatic sperm injection/embryo transfer (IVF-ICSI/ET). Identifying the associated risk factors may provide guidance for clinicians on how to prevent OHSS.
MATERIAL AND METHODS: The retrospective study involved patients who had completed IVF-ICSI/ET cycles. The difference in markers for predicting the occurrence of OHSS between groups was compared. The potential protective and risk factors, as well as the predictive markers, were identified.
RESULTS: Patients with OHSS were younger (p = 0.015), had higher basal antral follicle counts (AFC) (p < 0.001) and lower total dosages of gonadotropin (Gn) (p = 0.011). On the day of human chorionic gonadotropin (hCG) administration, significantly higher total numbers of follicles (p < 0.001), serum estradiol (E2) (p < 0.001) and progestrone (Pg) (p = 0.001) levels, numbers of oocytes (p < 0.001) and metaphase II (MII) oocytes (p < 0.001) were also observed in the OHSS group when compared to the non-OHSS group. A univariate regression analysis revealed that age (OR = 0.898, 95% CI = 0.822-0.981) and total dosage of Gn (OR = 0.999, 95% CI = 0.999-1.000) were protective factors, whereas AFC (OR = 1.090, 95% CI = 1.051-1.131) and, on the day of hCG injection, the number of follicles (OR = 1.185, 95% CI = 1.027-1.230), serum E2 (OR = 1.000, 95% CI = 1.000-1.000) and Pg (OR = 2.773, 95% CI = 0.510-3.370) levels, the number of oocytes (OR = 1.254, 95% CI = 0.894-1.472) and MII oocytes (OR = 1.238, 95% CI = 0.747-1.217) were risk factors for OHSS. However, a multivariate regression analysis showed that the total number of follicles (OR = 1.124, 95% CI = 1.027-1.230) was the only predictive factor for the occurrence of OHSS.
CONCLUSIONS: The study demonstrated that the follicle count measured on the day of hCG administration was the only predictive factor for the occurrence of OHSS. This provides basic guidance to clinicians on the prevention of the complication when using assisted reproductive technologies (ART).

Entities:  

Keywords:  human chorionic gonadotropin; in vitro fertilization; ovarian hyperstimulation syndrome

Mesh:

Substances:

Year:  2020        PMID: 31990458     DOI: 10.17219/acem/92916

Source DB:  PubMed          Journal:  Adv Clin Exp Med        ISSN: 1899-5276            Impact factor:   1.727


  4 in total

1.  Assessing the Usefulness of Severity Markers in Women with Ovarian Hyperstimulation Syndrome.

Authors:  Aleksei Petrovich Petrenko; Camil Castelo-Branco; Dimitry Vasilevich Marshalov; Alexander Valerievich Kuligin; Efim Munevich Shifman; Elena Sergeevna Nesnova
Journal:  Reprod Sci       Date:  2020-10-15       Impact factor: 3.060

2.  Are anthropometric data a tool for determining the severity of OHSS? Yes, it could be!

Authors:  Aleksei Petrovich Petrenko; Camil Castelo-Branco; Dimitry Vasilevich Marshalov; Alexander Valerievich Kuligin; Efim Munevich Shifman; Elena Sergeevna Nesnova; Batsunova Mariia Olegovna
Journal:  BMC Womens Health       Date:  2022-05-10       Impact factor: 2.742

3.  Factors Associated with Ovarian Hyperstimulation Syndrome (OHSS) Severity in Women With Polycystic Ovary Syndrome Undergoing IVF/ICSI.

Authors:  Bo Sun; Yujia Ma; Lu Li; Linli Hu; Fang Wang; Yile Zhang; Shanjun Dai; Yingpu Sun
Journal:  Front Endocrinol (Lausanne)       Date:  2021-01-19       Impact factor: 5.555

4.  High levels estradiol affect blastocyst implantation and post-implantation development directly in mice.

Authors:  Ko-Tung Chang; Yu-Ting Su; Yi-Ru Tsai; Kuo-Chung Lan; Yan-Der Hsuuw; Hong-Yo Kang; Wen-Hsiung Chan; Fu-Jen Huang
Journal:  Biomed J       Date:  2021-01-16       Impact factor: 7.892

  4 in total

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