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Nutaitis AC, Yao M, Hickman LC, Kollikonda S, Propst KA. Obstetric Anal Sphincter Injury: Interpregnancy Interval and Route of Subsequent Delivery. UROGYNECOLOGY (PHILADELPHIA, PA.) 2024:02273501-990000000-00248. [PMID: 38958184 DOI: 10.1097/spv.0000000000001551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
IMPORTANCE Knowledge on the interpregnancy interval (IPI) among women with an obstetric anal sphincter injury (OASI) is both limited and not well understood. OBJECTIVES The objectives of this study were to describe the IPI among women with OASI and to compare women with OASI based on the route of subsequent obstetric delivery and OASI recurrence. STUDY DESIGN This was a retrospective single-cohort study of women who had an OASI between 2013 and 2015 at a tertiary academic medical center. Demographics, obstetric delivery data, postpartum sequelae, and subsequent pregnancy delivery data from 2013 to 2021 were collected. The IPI was defined as the time from date of first vaginal delivery to date of conception of the subsequent pregnancy. Women without a subsequent pregnancy were censored at the date of last contact. The IPI was evaluated using a survival analysis (Kaplan-Meier estimator). RESULTS A total of 287 women experienced an OASI, and subsequent pregnancy occurred for 178 (62.0%) women. The median IPI was 26.4 months (95% confidence interval: 23.7-29.9) for women with a prior OASI. Of the 97 women who did not have a subsequent pregnancy documented during the study, the median follow-up was 64.0 months (interquartile range: 5.7-80.0). Subsequent delivery route data were available for 171 women; of those, 127 (74.3%) experienced a subsequent vaginal delivery and 44 (25.7%) experienced a cesarean delivery. Of the 127 women who experienced a subsequent vaginal delivery, 3 (2.4%) experienced a recurrent OASI. CONCLUSION The IPI among women with OASI is similar to the IPI for all women in Ohio and in the United States.
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Affiliation(s)
- Alexandra C Nutaitis
- From the Department of Obstetrics and Gynecology, Cleveland Clinic Akron General, Akron, OH
| | - Meng Yao
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Lisa C Hickman
- Female Pelvic Medicine & Reconstructive Surgery, Department of Obstetrics and Gynecology, Ohio State University, Columbus, OH
| | - Swapna Kollikonda
- Obstetrics, Gynecology and Women's Health Institute, Cleveland Clinic, Cleveland, OH
| | - Katie A Propst
- Urogynecology & Reconstructive Pelvic Surgery, Department of Obstetrics and Gynecology, University of South Florida, Tampa, FL
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Deng Y, Xu C, Yang A, Wang Y, Peng Y, Zhou Y, Luo X, Wu Y, Zhong S. Effect of interpregnancy interval on the risk of gestational diabetes mellitus during a second pregnancy. BMC Pregnancy Childbirth 2024; 24:406. [PMID: 38834957 DOI: 10.1186/s12884-024-06602-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 05/22/2024] [Indexed: 06/06/2024] Open
Abstract
BACKGROUND Interpregnancy interval (IPI) is associated with the risk of GDM in a second pregnancy. However, an optimal IPI is still need to be determined based on the characteristics of the population. This study aimed to analyze the effect of interpregnancy interval (IPI) on the risk of gestational diabetes mellitus (GDM) in the Chinese population. METHODS We conducted a retrospective cohort study on female participants who had consecutive deliveries at Peking University Shenzhen Hospital from 2013 to 2021. The IPI was categorized into 7 groups and included into the multivariate logistic regression model with other confound factors. Analysis was also stratified based on age of first pregnancy, BMI, and history of GDM. Adjusted OR values (aOR) and 95% confidence intervals (CI) calculated. The regression coefficient of IPI months on GDM prediction risk was analyzed using a linear regression model. RESULTS A total of 2,392 participants were enrolled. The IPI of the GDM group was significantly greater than that of the non-GDM group (P < 0.05). Compared with the 18-24 months IPI category, participants with longer IPIs (24-36 months, 36-48 months, 48-60 months, and ≥ 60 months) had a higher risk of GDM (aOR:1.585, 2.381, 2.488, and 2.565; 95% CI: 1.021-2.462, 1.489-3.809, 1.441-4.298, and 1.294-5.087, respectively). For participants aged < 30 years or ≥ 30 years or without GDM history, all longer IPIs (≥ 36 months) were all significantly associated with the GDM risk in the second pregnancy (P < 0.05), while any shorter IPIs (< 18 months) was not significantly associated with GDM risk (P > 0.05). For participants with GDM history, IPI 12-18 months, 24-36 months, 36-48 months, and ≥ 60 months were all significantly associated with the GDM risk (aOR: 2.619, 3.747, 4.356, and 5.373; 95% CI: 1.074-6.386, 1.652-8.499, 1.724-11.005, and 1.078-26.793, respectively), and the slope value of linear regression (0.5161) was significantly higher compared to participants without a history of GDM (0.1891) (F = 284.168, P < 0.001). CONCLUSIONS Long IPI increases the risk of GDM in a second pregnancy, but this risk is independent of maternal age. The risk of developing GDM in a second pregnancy for women with GDM history is more significantly affected by IPI.
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Affiliation(s)
- Yuqing Deng
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen PKU-HKUST Medical Center, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
| | - Chang Xu
- Intelligent Hospital Research Academy, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Ao Yang
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen PKU-HKUST Medical Center, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
| | - Ying Wang
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen PKU-HKUST Medical Center, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
| | - Yanting Peng
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen PKU-HKUST Medical Center, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
| | - Ying Zhou
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen PKU-HKUST Medical Center, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
| | - Xiangzhi Luo
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen PKU-HKUST Medical Center, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
| | - Yalin Wu
- Intelligent Hospital Research Academy, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Shilin Zhong
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, 1120 Lianhua Road, Shenzhen, 518036, Guangdong, China.
- Institute of Obstetrics and Gynecology, Shenzhen PKU-HKUST Medical Center, Shenzhen, Guangdong, China.
- Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China.
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Hu X, Yang Y, Wang L, Zhao C, Lyu X, Liu M, Wu H, Lei J, Li J, Yao M, Ding Y, Zhang H, He Y, Wang Y, Peng Z, Shen H, Wang Q, Zhang Y, Yan D, Yin J, Ma X. Interpregnancy Interval After Healthy Live Birth and Subsequent Spontaneous Abortion. JAMA Netw Open 2024; 7:e2417397. [PMID: 38884995 PMCID: PMC11184457 DOI: 10.1001/jamanetworkopen.2024.17397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/18/2024] Open
Abstract
Importance Many studies have reported that the interpregnancy interval (IPI) is a potential modifiable risk factor for adverse perinatal outcomes. However, the association between IPI after live birth and subsequent spontaneous abortion (SA) is unclear. Objective To investigate the association of IPI after a healthy live birth and subsequent SA. Design, Setting, and Participants This prospective cohort study used data from 180 921 women aged 20 to 49 years who had a single healthy live birth and planned for another pregnancy and who participated in the Chinese National Free Prepregnancy Checkups Project from January 1, 2010, to December 31, 2020. Statistical analysis was conducted from June 20 to October 5, 2023. Exposure Interpregnancy interval, defined as the interval between the delivery date and conception of the subsequent pregnancy, was categorized as follows: less than 18 months, 18 to 23 months, 24 to 35 months, 36 to 59 months, and 60 months or longer. Main Outcomes and Measures The main outcome was SA. Multivariable-adjusted odds ratios (ORs) were calculated by logistic regression models to examine the association between IPI and the risk of SA. Dose-response associations were evaluated by restricted cubic splines. Results The analyses included 180 921 multiparous women (mean [SD] age at current pregnancy, 26.3 [2.8] years); 4380 SA events (2.4% of all participants) were recorded. A J-shaped association between IPI levels and SA was identified. In the fully adjusted model, compared with IPIs of 18 to 23 months, both short (<18 months) and long (≥36 months) IPIs showed an increased risk of SA (IPIs of <18 months: OR, 1.15 [95% CI, 1.04-1.27]; IPIs of 36-59 months: OR, 1.28 [95% CI, 1.15-1.43]; IPIs of ≥60 months: OR, 2.13 [95% CI, 1.78-2.56]). Results of the subgroup analysis by mode of previous delivery were consistent with the main analysis. Conclusions and Relevance This cohort study of multiparous women suggests that an IPI of shorter than 18 months or an IPI of 36 months or longer after a healthy live birth was associated with an increased risk of subsequent SA. The findings are valuable to make a rational prepregnancy plan and may facilitate the prevention of SA and improvement in neonatal outcomes.
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Affiliation(s)
- Xuan Hu
- National Research Institute for Family Planning, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
- National Human Genetic Resources Center, Beijing, China
| | - Ying Yang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Long Wang
- Institute of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China
| | - Chuanyu Zhao
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Xinyi Lyu
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Meiya Liu
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Hanbin Wu
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Jueming Lei
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Jiaxin Li
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Mengxin Yao
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Yaling Ding
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Hongguang Zhang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Yuan He
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Yuanyuan Wang
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
| | - Zuoqi Peng
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
| | - Haiping Shen
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Qiaomei Wang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Yiping Zhang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Donghai Yan
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing, China
| | - Jieyun Yin
- Department of Epidemiology and Health Statistics, School of Public Health, Medical College of Soochow University, Suzhou, Jiangsu, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Soochow University, Jiangsu, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Xu Ma
- National Research Institute for Family Planning, Beijing, China
- National Human Genetic Resources Center, Beijing, China
- Graduate School of Peking Union Medical College, Beijing, China
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Hassen TA, Chojenta C, Khan MN, Shifti DM, Harris ML. Short birth interval in the Asia-Pacific region: A systematic review and meta-analysis. J Glob Health 2024; 14:04072. [PMID: 38700432 PMCID: PMC11067827 DOI: 10.7189/jogh.14.04072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2024] Open
Abstract
Background Short birth interval is associated with an increased risk of adverse health outcomes for mothers and children. Despite this, there is a lack of comprehensive evidence on short birth interval in the Asia-Pacific region. Thus, this study aimed to synthesise evidence related to the definition, classification, prevalence, and predictors of short birth interval in the Asia-Pacific region. Methods Five databases (MEDLINE, Scopus, Cumulative Index to Nursing and Allied Health Literature, Maternity and Infant Care, and Web of Science) were searched for studies published between September 2000 and May 2023 (the last search was conducted for all databases in May 2023). We included original studies published in English that reported on short birth interval in the Asia-Pacific region. Studies that combined birth interval with birth order, used multi-country data and were published as conference abstracts and commentaries were excluded. Three independent reviewers screened the articles for relevancy, and two reviewers performed the data extraction and quality assessment. The risk of bias was assessed using the Joanna Briggs Institute critical appraisal tool. The findings were both qualitatively and quantitatively synthesised and presented. Results A total of 140 studies met the inclusion criteria for this review. About 58% (n = 82) of the studies defined short birth interval, while 42% (n = 58) did not. Out of 82 studies, nearly half (n = 39) measured a birth-to-birth interval, 37 studies measured a birth-to-pregnancy, four measured a pregnancy-to-pregnancy, and two studies measured a pregnancy loss-to-conception. Approximately 39% (n = 55) and 6% (n = 8) of studies classified short birth intervals as <24 months and <33 months, respectively. Most of the included studies were cross-sectional, and about two-thirds had either medium or high risk of bias. The pooled prevalence of short birth interval was 33.8% (95% confidence interval (CI) = 23.0-44.6, I2 = 99.9%, P < 0.01) among the studies that used the World Health Organization definition. Conclusions This review's findings highlighted significant variations in the definition, measurement, classification, and reported prevalence of short birth interval across the included studies. Future research is needed to harmonise the definition and classification of short birth interval to ensure consistency and comparability across studies and facilitate the development of targeted interventions and policies. Registration PROSPERO CRD42023426975.
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Affiliation(s)
- Tahir Ahmed Hassen
- Centre for Women's Health Research, School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Australia
| | - Catherine Chojenta
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Australia
| | - Md Nuruzzaman Khan
- Centre for Women's Health Research, School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Australia
- Department of Population Science, Jatiya Kabi Kazi Nazrul Islam University, Mymensingh, Bangladesh
| | - Desalegn Markos Shifti
- Centre for Women's Health Research, School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Australia
- Child Health Research Centre, The University of Queensland, Brisbane, Australia
| | - Melissa Leigh Harris
- Centre for Women's Health Research, School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Australia
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Chen P, Mu Y, Liu Z, Wang Y, Li X, Dai L, Li Q, Li M, Xie Y, Liang J, Zhu J. Association of interpregnancy interval and risk of adverse pregnancy outcomes in woman by different previous gestational ages. Chin Med J (Engl) 2024; 137:87-96. [PMID: 37660287 PMCID: PMC10766283 DOI: 10.1097/cm9.0000000000002801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Indexed: 09/04/2023] Open
Abstract
BACKGROUND With an increasing proportion of multiparas, proper interpregnancy intervals (IPIs) are urgently needed. However, the association between IPIs and adverse perinatal outcomes has always been debated. This study aimed to explore the association between IPIs and adverse outcomes in different fertility policy periods and for different previous gestational ages. METHODS We used individual data from China's National Maternal Near Miss Surveillance System between 2014 and 2019. Multivariable Poisson models with restricted cubic splines were used. Each adverse outcome was analyzed separately in the overall model and stratified models. The stratified models included different categories of fertility policy periods (2014-2015, 2016-2017, and 2018-2019) and infant gestational age in previous pregnancy (<28 weeks, 28-36 weeks, and ≥37 weeks). RESULTS There were 781,731 pregnancies enrolled in this study. A short IPI (≤6 months) was associated with an increased risk of preterm birth (OR [95% CI]: 1.63 [1.55, 1.71] for vaginal delivery [VD] and 1.10 [1.03, 1.19] for cesarean section [CS]), low Apgar scores and small for gestational age (SGA), and a decreased risk of diabetes mellitus in pregnancy, preeclampsia or eclampsia, and gestational hypertension. A long IPI (≥60 months) was associated with an increased risk of preterm birth (OR [95% CI]: 1.18 [1.11, 1.26] for VD and 1.39 [1.32, 1.47] for CS), placenta previa, postpartum hemorrhage, diabetes mellitus in pregnancy, preeclampsia or eclampsia, and gestational hypertension. Fertility policy changes had little effect on the association of IPIs and adverse maternal and neonatal outcomes. The estimated risk of preterm birth, low Apgar scores, SGA, diabetes mellitus in pregnancy, and gestational hypertension was more profound among women with previous term births than among those with preterm births or pregnancy loss. CONCLUSION For pregnant women with shorter or longer IPIs, more targeted health care measures during pregnancy should be formulated according to infant gestational age in previous pregnancy.
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Affiliation(s)
- Peiran Chen
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
| | - Yi Mu
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
| | - Zheng Liu
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
| | - Yanping Wang
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
| | - Xiaohong Li
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
| | - Li Dai
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
| | - Qi Li
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
| | - Mingrong Li
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
| | - Yanxia Xie
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
| | - Juan Liang
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
- Department of Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
| | - Jun Zhu
- National Office for Maternal and Child Health Surveillance of China, West China Second University Hospital, Sichuan University, Chengdu, Sichuan 610066, China
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University, Chengdu, Sichuan 610066, China
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Zhu X, Li W, Xi H, Li M. Association between interpregnancy interval and gestational diabetes mellitus: A cohort study of the National Vital Statistics System 2020. Int J Gynaecol Obstet 2024; 164:86-98. [PMID: 37337776 DOI: 10.1002/ijgo.14929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 04/26/2023] [Accepted: 05/28/2023] [Indexed: 06/21/2023]
Abstract
OBJECTIVE To assess the association between interpregnancy interval (IPI) and gestational diabetes mellitus (GDM). METHODS Data of this retrospective cohort study were obtained from the National Vital Statistics System (NVSS) 2020. The participants were divided into different groups according to different IPI (<6, 6-11, 12-17, 18-23, 24-59 (reference), 60-119, ≥120 months). Multivariate logistic models were constructed to evaluate the association between IPI and GDM. Subgroup analysis was further performed. RESULTS A total of 1 515 263 women were included, with 123 951 (8.18%) having GDM. Compared with the 24-59 months group, the <6 months (odds ratio [OR] 0.64, 95% confidence interval [CI] 0.46-0.90, P = 0.009), 12-17 months (OR 0.96, 95% CI 0.94-0.98, P < 0.001), and 18-23 months (OR 0.94, 95% CI 0.93-0.96, P < 0.001) groups had a significantly lower risk of GDM, while the 60-119 months (OR 1.13, 95% CI 1.11-1.15, P < 0.001) and ≥120 months (OR 1.18, 95% CI 1.15-1.21, P < 0.001) groups had a significantly higher risk of GDM. No significant difference was observed in the risk of GDM between the 6-11 and 24-59 months groups (P = 0.542). The PI-GDM association varied across different groups of age, pre-pregnancy body mass index, pre-pregnancy smoking status, history of cesarean section, history of preterm birth, prior terminations, and parity. CONCLUSION An IPI of 18-23 months may be a better interval than 24-59 months in managing the risk of GDM.
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Affiliation(s)
- Xuejiao Zhu
- Department of Obstetrics and Gynecology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei, China
| | - Wei Li
- Department of Obstetrics and Gynecology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei, China
| | - Hongli Xi
- Department of Obstetrics and Gynecology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei, China
| | - Mingqun Li
- Department of Obstetrics and Gynecology, Xiangyang No.1 People's Hospital, Hubei University of Medicine, Xiangyang, Hubei, China
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Ma Y, Fu H, Li Y, Bao ZR, Dong WB, Lei XP. Interactions between long interpregnancy interval and advanced maternal age on neonatal outcomes. World J Pediatr 2023; 19:1155-1161. [PMID: 37099258 PMCID: PMC10590323 DOI: 10.1007/s12519-023-00728-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 04/06/2023] [Indexed: 04/27/2023]
Abstract
BACKGROUND After the implementation of the universal two-child policy in China, it was more frequent to have long interpregnancy intervals (IPIs) and advanced maternal age. However, the interactions between long IPIs and advanced maternal age on neonatal outcomes are unknown. METHODS The study subjects of this historical cohort study were multiparas with singleton live births between October 1st, 2015, and October 31st, 2020. IPI was defined as the interval between delivery and conception of the subsequent pregnancy. Logistic regression models were used to calculate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) of the risks of preterm birth (PTB), low birth weight (LBW), small for gestation age, and 1-min Apgar score ≤ 7 in different IPI groups. Relative excess risk due to interaction (RERI) was used to evaluate the additive interaction between long IPIs and advanced maternal age. RESULTS Compared with the 24 ≤ IPI ≤ 59 months group, the long IPI group (IPI ≥ 60 months) was associated with a higher risk of PTB (aOR, 1.27; 95% CI: 1.07-1.50), LBW (aOR, 1.32; 95% CI 1.08-1.61), and one-minute Apgar score ≤ 7 (aOR, 1.46; 95% CI 1.07-1.98). Negative additive interactions (all RERIs < 0) existed between long IPIs and advanced maternal age for these neonatal outcomes. Meanwhile, IPI < 12 months was also associated with PTB (aOR, 1.51; 95% CI 1.13-2.01), LBW (aOR, 1.50; 95% CI 1.09-2.07), and 1-min Apgar score ≤ 7 (aOR, 1.93; 95% CI 1.23-3.04). CONCLUSIONS Both short and long IPIs are associated with an increased risk of adverse neonatal outcomes. Appropriate IPI should be recommended to women planning to become pregnant again. In addition, better antenatal care might be taken to balance the inferiority of advanced maternal age and to improve neonatal outcomes.
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Affiliation(s)
- Yan Ma
- Division of Neonatology, Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Xiaoping Lei, 8 Kangcheng Road, Luzhou, 646000, China
- Department of Perinatology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Sichuan Clinical Research Center for Birth Defects, Luzhou, China
| | - Hua Fu
- Division of Neonatology, Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Xiaoping Lei, 8 Kangcheng Road, Luzhou, 646000, China
- Department of Perinatology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Sichuan Clinical Research Center for Birth Defects, Luzhou, China
| | - Yang Li
- School of Pediatrics, Southwest Medical University, Luzhou, China
| | - Zheng-Rong Bao
- Division of Neonatology, Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Xiaoping Lei, 8 Kangcheng Road, Luzhou, 646000, China
- Department of Perinatology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Sichuan Clinical Research Center for Birth Defects, Luzhou, China
| | - Wen-Bin Dong
- Division of Neonatology, Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Xiaoping Lei, 8 Kangcheng Road, Luzhou, 646000, China
- Department of Perinatology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Sichuan Clinical Research Center for Birth Defects, Luzhou, China
| | - Xiao-Ping Lei
- Division of Neonatology, Department of Pediatrics, The Affiliated Hospital of Southwest Medical University, Xiaoping Lei, 8 Kangcheng Road, Luzhou, 646000, China.
- Department of Perinatology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
- Sichuan Clinical Research Center for Birth Defects, Luzhou, China.
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Ni W, Gao X, Su X, Cai J, Zhang S, Zheng L, Liu J, Feng Y, Chen S, Ma J, Cao W, Zeng F. Birth spacing and risk of adverse pregnancy and birth outcomes: A systematic review and dose-response meta-analysis. Acta Obstet Gynecol Scand 2023; 102:1618-1633. [PMID: 37675816 PMCID: PMC10619614 DOI: 10.1111/aogs.14648] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 06/20/2023] [Accepted: 06/30/2023] [Indexed: 09/08/2023]
Abstract
INTRODUCTION The association between extreme birth spacing and adverse outcomes is controversial, and available evidence is fragmented into different classifications of birth spacing. MATERIAL AND METHODS We conducted a systematic review of observational studies to evaluate the association between birth spacing (i.e., interpregnancy interval and interoutcome interval) and adverse outcomes (i.e., pregnancy complications, adverse birth outcomes). Pooled odds ratios (ORs) with 95% confidence intervals (CI) were calculated using a random-effects model, and the dose-response relationships were evaluated using generalized least squares trend estimation. RESULTS A total of 129 studies involving 46 874 843 pregnancies were included. In the general population, compared with an interpregnancy interval of 18-23 months, extreme intervals (<6 months and ≥ 60 months) were associated with an increased risk of adverse outcomes, including preterm birth, small for gestational age, low birthweight, fetal death, birth defects, early neonatal death, and premature rupture of fetal membranes (pooled OR range: 1.08-1.56; p < 0.05). The dose-response analyses further confirmed these J-shaped relationships (pnon-linear < 0.001-0.009). Long interpregnancy interval was only associated with an increased risk of preeclampsia and gestational diabetes (pnon-linear < 0.005 and pnon-linear < 0.001, respectively). Similar associations were observed between interoutcome interval and risk of low birthweight and preterm birth (pnon-linear < 0.001). Moreover, interoutcome interval of ≥60 months was associated with an increased risk of cesarean delivery (pooled OR 1.72, 95% CI 1.04-2.83). For pregnancies following preterm births, an interpregnancy interval of 9 months was not associated with an increased risk of preterm birth, according to dose-response analyses (pnon-linear = 0.008). Based on limited evidence, we did not observe significant associations between interpregnancy interval or interoutcome interval after pregnancy losses and risk of small for gestational age, fetal death, miscarriage, or preeclampsia (pooled OR range: 0.76-1.21; p > 0.05). CONCLUSIONS Extreme birth spacing has extensive adverse effects on maternal and infant health. In the general population, interpregnancy interval of 18-23 months may be associated with potential benefits for both mothers and infants. For women with previous preterm birth, the optimal birth spacing may be 9 months.
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Affiliation(s)
- Wanze Ni
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Xuping Gao
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Xin Su
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Jun Cai
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Shiwen Zhang
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Lu Zheng
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Jiazi Liu
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Yonghui Feng
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Shiyun Chen
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Junrong Ma
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
| | - Wenting Cao
- Department of Medical Statistics & Epidemiology, International School of Public Health and One HealthHainan Medical UniversityHaikouHainanChina
| | - Fangfang Zeng
- Department of Public Health and Preventive Medicine, School of MedicineJinan UniversityGuangzhouGuangdongChina
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Zakaria H, Abusanana S, Mussa BM, Al Dhaheri AS, Stojanovska L, Mohamad MN, Saleh ST, Ali HI, Cheikh Ismail L. The Role of Lifestyle Interventions in the Prevention and Treatment of Gestational Diabetes Mellitus. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59020287. [PMID: 36837488 PMCID: PMC9966224 DOI: 10.3390/medicina59020287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 01/27/2023] [Accepted: 01/30/2023] [Indexed: 02/04/2023]
Abstract
Gestational diabetes mellitus (GDM) is one of the most common pregnancy-related endocrinopathies, affecting up to 25% of pregnancies globally. GDM increases the risk of perinatal and delivery complications, and the chance of developing type 2 diabetes mellitus and its complications, including cardiovascular diseases. This elevated risk is then passed on to the next generation, creating a cycle of metabolic dysfunction across generations. For many years, GDM preventive measures have had inconsistent results, but recent systematic reviews and meta-analyses have identified promising new preventative routes. This review aims to summarize the evidence investigating the efficacy of lifestyle treatments for the prevention of GDM and to summarize the effects of two lifestyle interventions, including physical activity and dietary interventions. Based on the present research, future studies should be conducted to investigate whether initiating lifestyle interventions during the preconception period is more beneficial in preventing GDM. In addition, research targeting pregnancy should be designed with a personalized approach. Therefore, studies should customize intervention approaches depending on the presence of modifiable and non-modifiable risk factors at the individual level.
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Affiliation(s)
- Hala Zakaria
- Clinical Science Department, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Salah Abusanana
- Clinical Science Department, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates
- Diabetes and Endocrinology Department, University Hospital Sharjah, Sharjah 27272, United Arab Emirates
| | - Bashair M. Mussa
- Clinical Science Department, College of Medicine, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Ayesha S. Al Dhaheri
- Department of Nutrition and Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain 15551, United Arab Emirates
| | - Lily Stojanovska
- Department of Nutrition and Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain 15551, United Arab Emirates
- Institute for Health and Sport, Victoria University, Melbourne, VIC 3011, Australia
| | - Maysm N. Mohamad
- Department of Nutrition and Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain 15551, United Arab Emirates
| | - Sheima T. Saleh
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates
| | - Habiba I. Ali
- Department of Nutrition and Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain 15551, United Arab Emirates
| | - Leila Cheikh Ismail
- Department of Clinical Nutrition and Dietetics, College of Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates
- Nuffield Department of Women’s & Reproductive Health, University of Oxford, Oxford OX1 2JD, UK
- Correspondence:
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Chou JS, Packer CH, Mittleman MA, Valent AM. Association of interpregnancy interval and gestational diabetes mellitus. J Matern Fetal Neonatal Med 2022; 35:10545-10550. [PMID: 36273829 DOI: 10.1080/14767058.2022.2134770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To evaluate the association between interpregnancy interval (IPI) and risk for gestational diabetes mellitus (GDM). METHODS We conducted a retrospective cohort study among singleton, non-anomalous, live birth pregnancies of 5,705,812 pregnant individuals in the United States from 2016 to 2018. We examined IPI of 4-<6 months, 6-11 months, 12-17 months, 24-35 months, 36-47 months, 48-59 months, 60-71 months, and ≥72 months in comparison to the reference interval of 18-23 months in relation to risk for GDM. We used logistic regression to evaluate the association between IPI and risk for GDM. RESULTS There is a significantly increased risk for GDM associated with IPIs of 6-11 months and 12-17 months compared to the reference of 18-23 months (adjusted Odds Ratio [aOR] 1.05, 95% CI: 1.03-1.07; aOR 1.02, 95% CI: 1.01-1.03). The risk for GDM is greater for longer IPIs (36-47 months aOR 1.10, 95% CI: 1.05-1.08; 48-59 months aOR 1.11, 95% CI: 1.09-1.13; 60-71 months aOR 1.14, 95% CI: 1.12-1.16; ≥72 months aOR 1.31, 95% CI: 1.30-1.33). CONCLUSION Our findings support the growing evidence that shorter and longer IPI increase the risk of GDM in pregnant individuals. Screening guidelines for detection of GDM may need to be re-evaluated and updated to include longer IPIs (≥36 months) as a risk factor for earlier screening prior to current recommendation of 24 weeks gestational age.
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Affiliation(s)
- Jody S Chou
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.,Department of Obstetrics & Gynecology, Western Pennsylvania Hospital, Pittsburgh, PA, USA
| | - Claire H Packer
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.,Department of Obstetrics & Gynecology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Murray A Mittleman
- Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Amy M Valent
- Division of Maternal-Fetal Medicine, Department of Obstetrics & Gynecology, Oregon Health and Science University, Portland, OR, USA
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11
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Sparks JR, Ghildayal N, Hivert MF, Redman LM. Lifestyle interventions in pregnancy targeting GDM prevention: looking ahead to precision medicine. Diabetologia 2022; 65:1814-1824. [PMID: 35150287 PMCID: PMC10994387 DOI: 10.1007/s00125-022-05658-w] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 11/05/2021] [Indexed: 12/12/2022]
Abstract
Gestational diabetes mellitus (GDM) is the most prevalent pregnancy-related endocrinopathy, affecting up to 25% of pregnancies worldwide. Pregnant individuals who develop GDM have an increased risk of complications during pregnancy and birth, as well as future development of type 2 diabetes mellitus and CVD. This increased risk is subsequently passed along to the offspring, perpetuating a cycle of metabolic dysfunction across generations. GDM prevention strategies have had mixed results for many years, but more recent systematic reviews and meta-analyses have suggested potential new avenues of prevention. The objective of this review is to summarise the literature examining the efficacy of lifestyle interventions for the prevention of GDM and to uncover if specific individual-level characteristics influence this outcome. Based on the present literature, we determined that future trials should be designed to understand if initiation of lifestyle intervention in the preconception period is more effective to reduce GDM. Furthermore, trials initiated during pregnancy should be developed through the lens of precision prevention. That is, trials should tailor intervention approaches based on individual-level risk defined by the presence of modifiable and non-modifiable risk factors. Finally, future interventions might also benefit from just-in-time adaptive intervention designs, which allow for interventions to be modified in real-time based on objective assessments of an individual's response.
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Affiliation(s)
- Joshua R Sparks
- Reproductive Endocrinology and Women's Health Laboratory, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA
| | - Nidhi Ghildayal
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Harvard University, Boston, MA, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Harvard University, Boston, MA, USA.
| | - Leanne M Redman
- Reproductive Endocrinology and Women's Health Laboratory, Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
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Xu T, Miao H, Chen Y, Luo L, Guo P, Zhu Y. Association of Interpregnancy Interval With Adverse Birth Outcomes. JAMA Netw Open 2022; 5:e2216658. [PMID: 35696164 PMCID: PMC9194661 DOI: 10.1001/jamanetworkopen.2022.16658] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 04/25/2022] [Indexed: 02/05/2023] Open
Abstract
IMPORTANCE Many studies have reported an association of interpregnancy interval (IPI) between 2 consecutive births with adverse birth outcomes in low- and middle-income countries. However, most of these studies ignore the implications of some unmeasured confounders. OBJECTIVE To explore the association of IPI with adverse perinatal outcomes. DESIGN, SETTING, AND PARTICIPANTS This large-scale cohort study used the Guangdong Provincial Women and Children Health Information System in Guangdong Province, China, to obtain birth data recorded between January 1, 2014, and December 31, 2020. Matched-sibling design was used. The final cohort included first-born and second-born sibling pairs delivered by mothers who were permanent residents of Guangdong Province. EXPOSURES The exposure variable was IPI, which was categorized as follows: less than 6, 6 to 11, 12 to 17, 18 to 23, 24 to 29, 30 to 35, and 36 or more months. MAIN OUTCOMES AND MEASURES The outcome variables were adverse birth outcomes: preterm birth (PTB, gestational age <37 weeks), low birth weight (LBW, <2500 g), and small for gestational age (SGA). Adjusted odds ratio (OR) and interaction odds ratio (IOR) associated with IPI were calculated. RESULTS The study consisted of 725 392 sibling pairs of multiparous mothers. Among these mothers, 718 111 (99.0%) were aged 20 to 34 years, and 715 583 (98.7%) were of Han Chinese ethnicity. Unmatched analysis showed that a short IPI of less than 6 months was associated with higher risks of PTB (adjusted OR, 1.96; 95% CI, 1.87-2.06), LBW (adjusted OR, 1.88; 95% CI, 1.79-1.98), and SGA (adjusted OR, 1.34; 95% CI, 1.30-1.38) compared with an IPI of 18 to 23 months. These associations were attenuated in the matched-sibling analysis. An association of short IPI (<6 months) with PTB (adjusted IOR, 1.40; 95% CI, 1.30-1.51), LBW (adjusted IOR, 1.30; 95% CI, 1.21-1.40), and SGA (adjusted IOR, 1.16; 95% CI, 1.11-1.22) remained in the matched analysis. For IPI of 36 months or more, the odds of PTB (adjusted OR, 1.08; 95% CI, 1.03-1.14) and LBW (adjusted OR, 1.13; 95% CI, 1.07-1.19) in the unmatched analysis were also greater than the reference interval (18-23 months), but not for SGA (adjusted OR, 0.96; 95% CI, 0.93-0.99). Associations between a long IPI (≥36 months) and PTB (adjusted IOR, 1.10; 95% CI, 1.02-1.19) and LBW (adjusted IOR, 1.16; 95% CI, 1.07-1.26) remained through the sibling comparisons. CONCLUSIONS AND RELEVANCE Results of this study indicated that mothers with a short (<6 months) or long (≥36 months) IPI had greater odds of adverse birth outcomes. The findings may inform family planning policies and guide individuals and families who are planning for another pregnancy in China.
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Affiliation(s)
- Ting Xu
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
| | - Huazhang Miao
- Department of Healthcare, Guangdong Women and Children Hospital, Guangzhou, China
| | - Yuliang Chen
- Department of Medical Quality Management, Nanfang Hospital, Guangzhou, China
| | - Limei Luo
- Department of Radiation Oncology, Cancer Hospital of Shantou University Medical College, Shantou, China
| | - Pi Guo
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
- Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Shantou, China
| | - Yingxian Zhu
- Department of Healthcare, Guangdong Women and Children Hospital, Guangzhou, China
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13
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Li W, Zuo L, Ni Y, Xiao D, Mo W, Wen Z, Zhao J, Zhang J, Yang L. Interpregnancy interval and subsequent perinatal risk of congenital heart disease in Guangzhou, Southern China: a retrospective cohort study, 2014-2019. J Matern Fetal Neonatal Med 2021; 35:8989-8997. [PMID: 34847800 DOI: 10.1080/14767058.2021.2008898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND The association between maternal interpregnancy interval (IPI) and congenital heart disease (CHD) in neonates remains inconclusive. This study aimed to examine the effect of maternal IPI on birth risk of CHD. METHODS Chinese women with two consecutive singleton deliveries in Guangzhou between January 2014 and December 2019 were selected as participants. Information on IPI and CHD was extracted from the Guangzhou Perinatal Health Care and Delivery Registry and the Guangzhou Birth Defects Surveillance Program. We stratified IPI into four categories: <24 months, 24-35 months, 36-59 months, and ≥60 months. A multivariate logistic regression model was used to examine the association between IPI and CHD. Subgroup analysis was also performed to assess whether the associations differed across top three CHD subtypes. RESULTS For 119,510 women enrolled in this study, the mean ages at two consecutive deliveries were 26.2 ± 3.8 and 28.8 ± 4.0 years, which yielded a median IPI of 51.2 (interquartile range, 32.1-77.2) months. Among them, 828 delivered infants with CHD during their second pregnancy. There was a J-shaped curve relationship between IPI and CHD with the lowest birth prevalence (5.33‰) at 24-35-month interval. Compared to women with an IPI of 24-35 months, those with an IPI ≥60 had an increased risk of delivering infants with CHD (adjusted odds ratio (OR), 1.41; 95% confidence interval (CI), 1.19-1.64). However, for those with an IPI <24 months (adjusted OR, 1.24; 95% CI, 0.97-1.51), IPI was statistically insignificant associated with the risk of delivering infants with CHD (p = .12). There were different patterns of associations for different CHD subtypes. CONCLUSIONS Longer maternal IPI (≥60 months) was associated with an increased risk of delivering infants with CHD in the Chinese population.
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Affiliation(s)
- Weidong Li
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Liandong Zuo
- Department of Science Research and Education Management, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Yanyan Ni
- Institute for Women's Health, University College London, London, UK
| | - Di Xiao
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Weijian Mo
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Zihao Wen
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Jing Zhao
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Jinxin Zhang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li Yang
- Department of Woman and Child Health Care Information, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
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14
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Garg B, Darney B, Pilliod RA, Caughey AB. Long and short interpregnancy intervals increase severe maternal morbidity. Am J Obstet Gynecol 2021; 225:331.e1-331.e8. [PMID: 34023313 DOI: 10.1016/j.ajog.2021.05.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 05/11/2021] [Accepted: 05/12/2021] [Indexed: 01/08/2023]
Abstract
BACKGROUND Severe maternal morbidity is a composite variable that includes adverse maternal outcomes during pregnancy that are associated with maternal mortality. Previous literature has shown that interpregnancy interval is associated with preterm birth, fetal growth restriction, and low birthweight, but the association of interpregnancy interval and composite severe maternal morbidity is not well studied. OBJECTIVE We sought to determine the relationship between interpregnancy interval (stratified as <6, 6-11, 12-17, 18-23, 24-59, and ≥60 months) and severe maternal morbidity, which we considered both with and without blood transfusion. STUDY DESIGN This was a retrospective cohort study of multiparous women 15 to 54 years old with singleton, nonanomalous births between 23 and 42 weeks gestation in California (2007-2012). We defined severe maternal morbidity as the composite score of a published list of the International Classification of Diseases, ninth Revision, diagnoses and procedure codes, provided by the Centers for Disease Control and Prevention. We used chi-square tests for categorical variables, and multivariable logistic regression models were used to determine the association of interpregnancy interval (independent variable) with severe maternal morbidity (dependent variable), adjusted for maternal race and ethnicity, age, education, body mass index, insurance, prenatal care, smoking status, and maternal comorbidity index score. RESULTS Here, 1,669,912 women met the inclusion criteria, and of these women, 14,529 (0.87%) had severe maternal morbidity and 4712 (0.28%) had nontransfusion severe maternal morbidity. Multivariable logistic regression models showed that compared with women with 18 to 23 months interpregnancy interval, women with an interpregnancy interval of <6 months (adjusted odds ratio, 1.23; 95% confidence interval, 1.14-1.34) and ≥60 months (adjusted odds ratio, 1.11; 95% confidence interval, 1.04-1.19) had significantly higher adjusted odds of severe maternal morbidity. The odds of nontransfusion severe maternal morbidity is higher in women with long interpregnancy intervals (≥60 months) after controlling for the same potential confounders (adjusted odds ratio, 1.17, 95% confidence interval, 1.04-1.31). In addition, we found significantly higher odds of requiring ventilation (adjusted odds ratio, 1.34; 95% confidence interval, 1.03-1.75) and maternal sepsis (adjusted odds ratio, 2.08; 95% confidence interval, 1.31-3.31) in women with long interpregnancy interval. CONCLUSION The risk of severe maternal morbidity was higher in women with short interpregnancy interval (<6 months) and long interpregnancy interval (≥60 months) compared with women with normal interpregnancy interval (18-23 months). The risk of nontransfusion severe maternal morbidity was significantly higher in women with long interpregnancy interval (≥60 months). Interpregnancy interval is a modifiable risk factor, and counseling women to have an adequate gap between pregnancies may be an important strategy to decrease the risk of severe maternal morbidity.
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15
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Shi G, Zhang B, Kang Y, Dang S, Yan H. Association of Short and Long Interpregnancy Intervals with Adverse Birth Outcomes: Evidence from a Cross-Sectional Study in Northwest China. Int J Gen Med 2021; 14:2871-2881. [PMID: 34234517 PMCID: PMC8254096 DOI: 10.2147/ijgm.s315827] [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: 04/14/2021] [Accepted: 06/15/2021] [Indexed: 12/02/2022] Open
Abstract
Purpose To analyze the effects of a short interpregnancy interval (IPI) (<6 months) and a long IPI (>120 months) on neonatal adverse birth outcomes including low birth weight (LBW), small for gestational age (SGA), preterm birth (PTB), and birth defects in Shaanxi Province. Patients and Methods A stratified multistage random sampling method was used to recruit participants who gave birth between 2010 and 2013 in Shaanxi province. A self-designed questionnaire was used to collect the information of the participants. With the confounding factors controlled, the generalized linear model (GLM) was used to investigate the association between IPI and neonatal birth outcomes. The restricted cubic spline (RCS) function was used to evaluate the dose–response relationship between IPI and birth outcomes. Results A total of 13,231 women were included. The prevalence of LBW, SGA, PTB, and birth defects was 3.24%, 12.96%, 2.93%, and 2.12%, respectively. GLM showed that a short IPI (<6 months) was associated with a higher risk of SGA (RR=1.25, 95% CI: 1.04–1.52) and birth defects (RR=2.55, 95% CI: 1.45–4.47), and a long IPI (≥120 months) was associated with a higher risk of LBW (RR=1.54, 95% CI: 1.01–2.34) and PTB (RR=1.73, 95% CI: 1.08–2.76) than an IPI of 18–23 months. The RCS showed that LBW, SGA, and PTB demonstrated a j-shaped relationship with IPI (P for overall association < 0.001 for these three birth outcomes), and birth defects (P for overall association <0.001) had an inversely non-linear relationship with IPI. Conclusion Both short and long IPIs are associated with an increased risk of adverse birth outcomes.
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Affiliation(s)
- Guoshuai Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Binyan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Yijun Kang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Shaonong Dang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, People's Republic of China
| | - Hong Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, 710061, People's Republic of China.,Nutrition and Food Safety Engineering Research Center of Shaanxi Province, Xi'an, Shaanxi, 710061, People's Republic of China
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16
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The Role of Maternal Weight in the Hierarchy of Macrosomia Predictors; Overall Effect of Analysis of Three Prediction Indicators. Nutrients 2021; 13:nu13030801. [PMID: 33671089 PMCID: PMC8000437 DOI: 10.3390/nu13030801] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 02/23/2021] [Accepted: 02/25/2021] [Indexed: 12/15/2022] Open
Abstract
So far it has not been established which maternal features play the most important role in newborn macrosomia. The aim of this study is to provide assessment of a hierarchy of twenty six (26) maternal characteristics in macrosomia prediction. A Polish prospective cohort of women with singleton pregnancy (N = 912) which was recruited in the years 2015–2016 has been studied. Two analyses were performed: for probability of macrosomia > 4000 g (n = 97) (vs. 755 newborns 2500–4000 g); and for birthweight > 90th percentile (n = 99) (vs. 741 newborns 10–90th percentile). A multiple logistic regression was used (with 95% confidence intervals (CI)). A hierarchy of significance of potential predictors was established after summing up of three prediction indicators (NRI, IDI and AUC) calculated for the basic prediction model (maternal age + parity) extended with one (test) predictor. ‘Net reclassification improvement’ (NRI) focuses on the reclassification table describing the number of women in whom an upward or downward shift in the disease probability value occurred after a new factor had been added, including the results for healthy and ill women. ‘Integrated discrimination improvement’ (IDI) shows the difference between the value of mean change in predicted probability between the group of ill and healthy women when a new factor is added to the model. The area under curve (AUC) is a commonly used indicator. Results. The macrosomia risk was the highest for prior macrosomia (AOR = 7.53, 95%CI: 3.15–18.00, p < 0.001). A few maternal characteristics were associated with more than three times higher macrosomia odds ratios, e.g., maternal obesity and gestational age ≥ 38 weeks. A different hierarchy was shown by the prediction study. Compared to the basic prediction model (AUC = 0.564 (0.501–0.627), p = 0.04), AUC increased most when pre-pregnancy weight (kg) was added to the base model (AUC = 0.706 (0.649–0.764), p < 0.001). The values of IDI and NRI were also the highest for the model with maternal weight (IDI = 0.061 (0.039–0.083), p < 0.001), and (NRI = 0.538 (0.33–0.746), p < 0.001). Adding another factor to the base model was connected with significantly weaker prediction, e.g., for gestational age ≥ 38 weeks (AUC = 0.602 (0.543–0.662), p = 0.001), (IDI = 0.009 (0.004; 0.013), p < 0.001), and (NRI = 0.155 (0.073; 0.237), p < 0.001). After summing up the effects of NRI, IDI and AUC, the probability of macrosomia was most strongly improved (in order) by: pre-pregnancy weight, body mass index (BMI), excessive gestational weight gain (GWG) and BMI ≥ 25 kg/m2. Maternal height, prior macrosomia, fetal sex-son, and gestational diabetes mellitus (GDM) occupied an intermediate place in the hierarchy. The main conclusions: newer prediction indicators showed that (among 26 features) excessive pre-pregnancy weight/BMI and excessive GWG played a much more important role in macrosomia prediction than other maternal characteristics. These indicators more strongly highlighted the differences between predictors than the results of commonly used odds ratios.
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Naeh A, Hallak M, Gabbay-Benziv R. Parity and Interval from Previous Delivery-Influence on Perinatal Outcome in Advanced Maternal Age Parturients. J Clin Med 2021; 10:460. [PMID: 33530313 PMCID: PMC7865726 DOI: 10.3390/jcm10030460] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/21/2021] [Accepted: 01/21/2021] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE To investigate the effect of parity and interpregnancy interval (IPI) on perinatal outcomes in advanced maternal age (AMA) parturients. METHODS A population-based retrospective cohort study of all women older than 40 years, who had a singleton live birth after 24 weeks in the United States in 2017 Women were categorized to three groups by parity and interval from last delivery: primiparas, multiparas with IPI ≤ 5 years, and multiparas with IPI > 5 years. Primary outcome was composite adverse neonatal outcome (preterm delivery <34 weeks, birthweight <2000 g, neonatal seizure, neonatal intensive care unit admission, Apgar score <7 at 5 min, or assisted ventilation >6 h). Secondary outcome was composite adverse maternal outcome and other adverse perinatal outcomes. Univariate and multivariate analysis were used to compare between groups. RESULTS During 2017, 3,864,754 deliveries were recorded into the database. Following exclusion, 109,564 AMA gravidas entered analysis. Of them, 24,769 (22.6%) were nulliparas, 39,933 (36.4%) were multiparas with IPI ≤ 5 years, and 44,862 (40.9%) were multiparas with IPI > 5 years. Composite neonatal outcome was higher in nulliparas and in multiparas with IPI > 5 years, in comparison to multiparas with IPI ≤ 5 years (16% vs. 13% vs. 10%, respectively, p < 0.05). Maternal composite outcome was similar between groups. In the multivariable analysis, relative to nulliparas, only multiparity with IPI ≤ 5 years had a protective effect against the composite neonatal outcome (aOR 0.97, 95% CI 0.95-0.99, p < 0.001). CONCLUSION Among AMA gravidas, multiparity with IPI ≤ 5 years has a significant protective effect against adverse neonatal outcomes when compared to nulliparas. Multiparity with IPI > 5 years is no longer protective.
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Affiliation(s)
- Amir Naeh
- Obstetrics and Gynecology Department, Hillel Yaffe Medical Center, Hadera 38100, Israel; (M.H.); (R.G.-B.)
- The Rappaport Faculty of Medicine, Technion, Haifa 32000, Israel
| | - Mordechai Hallak
- Obstetrics and Gynecology Department, Hillel Yaffe Medical Center, Hadera 38100, Israel; (M.H.); (R.G.-B.)
- The Rappaport Faculty of Medicine, Technion, Haifa 32000, Israel
| | - Rinat Gabbay-Benziv
- Obstetrics and Gynecology Department, Hillel Yaffe Medical Center, Hadera 38100, Israel; (M.H.); (R.G.-B.)
- The Rappaport Faculty of Medicine, Technion, Haifa 32000, Israel
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