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Potapragada NR, Babayev E, Strom D, Beestrum M, Schauer JM, Jungheim ES. Intrauterine Insemination After Human Chorionic Gonadotropin Trigger or Luteinizing Hormone Surge: A Meta-analysis. Obstet Gynecol 2023; Publish Ahead of Print:00006250-990000000-00783. [PMID: 37290111 DOI: 10.1097/aog.0000000000005222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/23/2023] [Indexed: 06/10/2023]
Abstract
OBJECTIVE To assess the odds of pregnancy after intrauterine insemination (IUI) timed by ultrasound monitoring and human chorionic gonadotropin (hCG) administration compared with monitoring luteinizing hormone (LH) levels. DATA SOURCES We searched PubMed (MEDLINE), EMBASE (Elsevier), Scopus (Elsevier), Web of Science (Clarivate Analytics), ClinicalTrials.gov (National Institutes of Health), and the Cochrane Library (Wiley) from the inception until October 1, 2022. No language limitations were applied. METHODS OF STUDY SELECTION After deduplication, 3,607 unique citations were subjected to blinded independent review by three investigators. Thirteen studies (five retrospective cohort, four cross-sectional, two randomized controlled trials, and two randomized crossover studies) that enrolled women undergoing natural cycle, oral medication (clomid or letrozole), or both for IUI were included in the final random-effects model meta-analysis. Methodologic quality of included studies was assessed with the Downs and Black checklist. TABULATION, INTEGRATION, AND RESULTS Data extraction was compiled by two authors, including publication information, hCG and LH monitoring guidelines, and pregnancy outcomes. No significant difference in odds of pregnancy between hCG administration and endogenous LH monitoring was observed (odds ratio [OR] 0.92, 95% CI 0.69-1.22, P=.53). Subgroup analysis of the five studies that included natural cycle IUI outcomes also showed no significant difference in odds of pregnancy between the two methods (OR 0.88, 95% CI 0.46-1.69, P=.61). Finally, a subgroup analysis of 10 studies that included women who underwent ovarian stimulation with oral medications (clomid or letrozole) did not demonstrate a difference in odds of pregnancy between ultrasonography with hCG trigger and LH-timed IUI (OR 0.88, 95% CI 0.66-1.16, P=.32). Statistically significant heterogeneity was noted between studies. CONCLUSION This meta-analysis showed no difference between pregnancy outcomes between at-home LH monitoring and timed IUI. SYSTEMATIC REVIEW REGISTRATION PROSPERO, CRD42021230520.
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Affiliation(s)
- Nivedita R Potapragada
- Department of Obstetrics and Gynecology, Galter Health Sciences Library, and Department of Preventive Medicine, Biostatistics Collaboration Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
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Zhu C, Zhang S, Chen F, She H, Ju Y, Wen X, Ji Y, Pan Y, Yang C, Sun Y, Dong N, Liu K, Li F, Xue T, Cui H. Correlations between elevated basal sperm DNA fragmentation and the clinical outcomes in women undergoing IUI. Front Endocrinol (Lausanne) 2022; 13:987812. [PMID: 36120437 PMCID: PMC9478029 DOI: 10.3389/fendo.2022.987812] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE This study aimed to explore the impact of the sperm DNA fragmentation index (DFI) on the clinical outcomes in women undergoing artificial insemination by husband intrauterine insemination (AIH-IUI). METHODS In this retrospective study, the value of sperm DFI was detected by sperm chromatin structure assay (SCSA) in a semen analysis collected before fertility treatment (basal DFI) in 1,500 IUI cycles at the infertility clinic of Northern Jiangsu People's Hospital Reproductive Medicine Center from Jan 2016 to April 2021. Receiver operating characteristic (ROC) curves were used to calculate the cut-off value for the clinical outcomes of IUI, including the biochemical pregnancy rate, clinical pregnancy rate, delivery rate, and live birth rate, and multivariate logistic regression was conducted to analyse the risk factors for clinical outcomes after IUI. RESULT In 1,500 IUI cycles, the results showed that there were no statistically significant differences between the normal DFI group and the abnormal DFI group in biochemical pregnancy rate (14.41% vs. 11.3%, P = 0.386), clinical pregnancy rate (12.9% vs. 10.5%, P = 0.433), delivery rate (11.0% vs. 8.9%, P = 0.456), live birth rate (10.9% vs. 8.9%, P = 0.484) or pregnancy loss rate (14.6% vs. 15.4%, P = 1.000). CONCLUSION Sperm DFI alone may have limited predictive power for IUI clinical outcomes.
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Affiliation(s)
- Chunhui Zhu
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
- Institute of Epigenetics and Epigenomics, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Shengmin Zhang
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Fang Chen
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Hong She
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Yun Ju
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Xidong Wen
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Yurong Ji
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Yu Pan
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Chunxia Yang
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Yan Sun
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Naijun Dong
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Kaifeng Liu
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
| | - Feng Li
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
- *Correspondence: Feng Li, ; Tongmin Xue, ; Hengmi Cui,
| | - Tongmin Xue
- Department of Reproductive Medicine Center, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University/Clinical Medical College, Yangzhou University, Yangzhou, China
- *Correspondence: Feng Li, ; Tongmin Xue, ; Hengmi Cui,
| | - Hengmi Cui
- Institute of Epigenetics and Epigenomics, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
- *Correspondence: Feng Li, ; Tongmin Xue, ; Hengmi Cui,
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Luo Y, Wu S, Yuan J, Zhou H, Zhong Y, Zhang M, Li Q, Xu X, Sun X, Zhu D. Evaluation of Prognostic Factors for Clinical Pregnancy Rate Following Artificial Insemination by Husband in the Chinese Population. Front Med (Lausanne) 2021; 8:638560. [PMID: 34041250 PMCID: PMC8141639 DOI: 10.3389/fmed.2021.638560] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 03/22/2021] [Indexed: 11/23/2022] Open
Abstract
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.
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Affiliation(s)
- Yumei Luo
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Shunhong Wu
- Kingmed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
| | - Jingru Yuan
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hua Zhou
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yufang Zhong
- Kingmed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
| | - Mimi Zhang
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qing Li
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xia Xu
- Kingmed School of Laboratory Medicine, Guangzhou Medical University, Guangzhou, China
| | - Xiaofang Sun
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Detu Zhu
- Department of Obstetrics and Gynecology, Key Laboratory for Major Obstetric Diseases of Guangdong Province, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.,Key Laboratory of Reproduction and Genetics of Guangdong Higher Education Institutes, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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