Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese Population
Background: To determine the independent prognostic factors and develop a multivariate logistic regression model for predicting successful pregnancy following artificial insemination by husband (AIH) in infertile Chinese couples.Methods: A total of 3,015 AIH cycles with superovulation from 1,853 inf...
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Format: | Article |
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Frontiers Media S.A.
2021-05-01
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Series: | Frontiers in Medicine |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2021.638560/full |
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doaj-2b0ae006f6b04752b62260feb12599fe |
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record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yumei Luo Yumei Luo Shunhong Wu Jingru Yuan Jingru Yuan Hua Zhou Hua Zhou Yufang Zhong Mimi Zhang Mimi Zhang Qing Li Qing Li Xia Xu Xiaofang Sun Xiaofang Sun Detu Zhu Detu Zhu |
spellingShingle |
Yumei Luo Yumei Luo Shunhong Wu Jingru Yuan Jingru Yuan Hua Zhou Hua Zhou Yufang Zhong Mimi Zhang Mimi Zhang Qing Li Qing Li Xia Xu Xiaofang Sun Xiaofang Sun Detu Zhu Detu Zhu Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese Population Frontiers in Medicine assisted reproduction intrauterine insemination artificial insemination by husband pregnancy rate semen analysis logistic regression |
author_facet |
Yumei Luo Yumei Luo Shunhong Wu Jingru Yuan Jingru Yuan Hua Zhou Hua Zhou Yufang Zhong Mimi Zhang Mimi Zhang Qing Li Qing Li Xia Xu Xiaofang Sun Xiaofang Sun Detu Zhu Detu Zhu |
author_sort |
Yumei Luo |
title |
Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese Population |
title_short |
Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese Population |
title_full |
Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese Population |
title_fullStr |
Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese Population |
title_full_unstemmed |
Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese Population |
title_sort |
evaluation of prognostic factors for clinical pregnancy rate following artificial insemination by husband in the chinese population |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Medicine |
issn |
2296-858X |
publishDate |
2021-05-01 |
description |
Background: To determine the independent prognostic factors and develop a multivariate logistic regression model for predicting successful pregnancy following artificial insemination by husband (AIH) in infertile Chinese couples.Methods: A total of 3,015 AIH cycles with superovulation from 1,853 infertile Chinese couples were retrospectively analyzed. The clinical characteristics and sperm parameters were compared between the pregnant and non-pregnant groups. Multivariate logistic regression analysis was performed to remove the confounding factors and create an equation to predict the successful pregnancy. Receiver operating characteristic (ROC) curves were constructed for evaluating the abilities for prognostic classification of the independent predictors and the equation.Results: The overall pregnancy rate was 13.0%. The pregnancy rate of double intrauterine insemination (IUI) (18.9%) was significantly higher than that of single IUI (11.4%). The pregnancy rate of the stimulated cycle (14.4%) was significantly higher than that of the natural cycle (9.0%). The pregnancy rates of the age groups <40 years are ~3 times higher than that of the ≥40 years age group. Among sperm parameters, the influencing factors included straight-line velocity (VSL), sperm deformity index (SDI), and normal form rate (all P < 0.05). A multivariate logistic regression equation was created based on the above influencing factors. ROC analysis showed that the prognostic power of the equation is better than those of individual predictors.Conclusion: Cycle treatment options, single/double IUI, female age, sperm VSL, SDI, and normal form rate could predict successful pregnancy following AIH in China. The multivariate logistic regression equation exhibited a greater value for prognostic classification than single predictors. |
topic |
assisted reproduction intrauterine insemination artificial insemination by husband pregnancy rate semen analysis logistic regression |
url |
https://www.frontiersin.org/articles/10.3389/fmed.2021.638560/full |
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doaj-2b0ae006f6b04752b62260feb12599fe2021-05-10T05:04:09ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2021-05-01810.3389/fmed.2021.638560638560Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese PopulationYumei Luo0Yumei Luo1Shunhong Wu2Jingru Yuan3Jingru Yuan4Hua Zhou5Hua Zhou6Yufang Zhong7Mimi Zhang8Mimi Zhang9Qing Li10Qing Li11Xia Xu12Xiaofang Sun13Xiaofang Sun14Detu Zhu15Detu Zhu16Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaKey Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaKingmed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, ChinaDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaKey Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaKey Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaKingmed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, ChinaDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaKey Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaKey Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaKingmed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, ChinaDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaKey Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaDepartment of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaKey Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, ChinaBackground: To determine the independent prognostic factors and develop a multivariate logistic regression model for predicting successful pregnancy following artificial insemination by husband (AIH) in infertile Chinese couples.Methods: A total of 3,015 AIH cycles with superovulation from 1,853 infertile Chinese couples were retrospectively analyzed. The clinical characteristics and sperm parameters were compared between the pregnant and non-pregnant groups. Multivariate logistic regression analysis was performed to remove the confounding factors and create an equation to predict the successful pregnancy. Receiver operating characteristic (ROC) curves were constructed for evaluating the abilities for prognostic classification of the independent predictors and the equation.Results: The overall pregnancy rate was 13.0%. The pregnancy rate of double intrauterine insemination (IUI) (18.9%) was significantly higher than that of single IUI (11.4%). The pregnancy rate of the stimulated cycle (14.4%) was significantly higher than that of the natural cycle (9.0%). The pregnancy rates of the age groups <40 years are ~3 times higher than that of the ≥40 years age group. Among sperm parameters, the influencing factors included straight-line velocity (VSL), sperm deformity index (SDI), and normal form rate (all P < 0.05). A multivariate logistic regression equation was created based on the above influencing factors. ROC analysis showed that the prognostic power of the equation is better than those of individual predictors.Conclusion: Cycle treatment options, single/double IUI, female age, sperm VSL, SDI, and normal form rate could predict successful pregnancy following AIH in China. The multivariate logistic regression equation exhibited a greater value for prognostic classification than single predictors.https://www.frontiersin.org/articles/10.3389/fmed.2021.638560/fullassisted reproductionintrauterine inseminationartificial insemination by husbandpregnancy ratesemen analysislogistic regression |