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Guo J, Zhong L, Ding S, Xiao G, Huang M, Zhang L, Chen Q. Number of Pregnancies and Risk of Atherosclerotic Cardiovascular Disease in Postmenopausal Women: A Cross-Sectional Study of NHANES from 1999 to 2018. J Womens Health (Larchmt) 2024; 33:1025-1033. [PMID: 38607374 DOI: 10.1089/jwh.2023.0859] [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] [Indexed: 04/13/2024] Open
Abstract
Background: Atherosclerotic cardiovascular disease (ASCVD) remains the most common cause of death in women. Pregnancy is an exposure unique to women leading to significant changes in maternal cardiovascular function. However, studies of the relationship between the number of pregnancies and ASCVD are rare. We aimed to clarify the association between the number of pregnancies and ASCVD. Methods: In this cross-sectional study, we used publicly available data from the National Health and Nutrition Examination Survey from 1999 to 2018. The number of pregnancies was divided into 0 (reference), 1, 2-3, 4-5, or ≥6, to create more stable estimates. A multiple logistic regression approach was used to examine the correlation between pregnancy and ASCVD in women aged 45 years or older who reported no menstruation in the past 12 months due to menopause, as well as in those aged 55 years or older, encompassing various age groups. We also separately estimated the association between the exposure of pregnancy and individual components of ASCVD. Results: In this study, age-adjusted data showed that women with six or more pregnancies had a doubled risk (odds ratio [OR]: 2.07) of ASCVD. The risk remained elevated at 1.69 times in women with four to five pregnancies and further increased to 1.90 times in women with six or more pregnancies, after adjusting for social factors. Similar patterns were observed when considering reproductive health and cardiovascular risk factors. Across the full population, every model that accounted for these variables consistently indicated that with an increasing number of pregnancies, we observed higher ORs for ASCVD risk (all p values <0.05). Conclusions: A higher number of pregnancies was associated with a higher risk of ASCVD after menopause, especially among women aged 45-64 years. Moreover, this association is particularly significant in the risk of stroke, cardiovascular heart disease, and heart attack.
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Affiliation(s)
- Jie Guo
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Lingli Zhong
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Shan Ding
- Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China
| | - Guitao Xiao
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Minhong Huang
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Li Zhang
- Longyan First Affiliated Hospital of Fujian Medical University, Longyan, China
| | - Qionghua Chen
- Department of Clinical Medicine, Fujian Medical University, Fuzhou, China
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Ghamri K. Prevalence and Risk Factors of Confirmed Gestational Diabetes Mellitus Among Pregnant Women With Prior Positive Screening: A Case-Control Study. Cureus 2024; 16:e61216. [PMID: 38939238 PMCID: PMC11208977 DOI: 10.7759/cureus.61216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND Saudi Arabia has a higher rate of gestational diabetes mellitus (GDM) than most other countries. There is a paucity of data on the risk factors for GDM, particularly positive screening for diabetes in the initial period of pregnancy. OBJECTIVES The aim of this study was to determine the prevalence of confirmed GDM in pregnant women who initially screened positive for GDM, as well as to identify its association with age, nationality, and clinical risk factors. PATIENTS AND METHODS This case-control study was conducted retrospectively at a tertiary referral center in Jeddah, Saudi Arabia. It included pregnant women who were referred between January 2019 and December 2022 after having tested positive on a 50 g oral glucose tolerance test (OGTT). They subsequently underwent a 75 g or 100 g confirmatory OGTT at our center. The sociodemographic and clinical characteristics of those with confirmed GDM (cases) and those with negative confirmatory OGTT (controls) were compared. RESULTS The majority of participants (75.4%) had confirmed GDM. However, there were no significant differences between cases and controls with regard to age, nationality, or clinical or pregnancy-related factors. Of note, the cohort was characterized by high gravidity and high parity, which may indicate susceptibility to GDM. CONCLUSION The study findings support the usefulness of the 50 g OGTT for the screening of pregnant women at high risk for GDM. In addition, high gravidity and parity may also be risk factors for GDM, warranting closer monitoring for GDM and further research in a high-natality population such as that of Saudi Arabia.
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Affiliation(s)
- Kholoud Ghamri
- Internal medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU
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3
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Almatrafi SD, Sekhar C. Knowledge of Gestational Diabetes Mellitus Among Adult Females in Al Qassim Province, Saudi Arabia: A Cross-Sectional Study. Cureus 2024; 16:e53166. [PMID: 38420077 PMCID: PMC10901295 DOI: 10.7759/cureus.53166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/29/2024] [Indexed: 03/02/2024] Open
Abstract
Background Gestational diabetes mellitus (GDM) is a carbohydrate intolerance of variable severity with onset or first recognition during pregnancy; it does not include diabetics who become pregnant or women who become lactosuric. Knowledge of this problem among the public will promote its prevention, screening, and treatment strategies. This study aims to assess the knowledge of GDM regarding its risk factors, screening, treatment, and complications among women in the Al Qassim Province, Saudi Arabia. Method A cross-sectional study was conducted among 617 females aged 18 years and older through convenience sampling between October 2022 and January 2023. An online questionnaire was distributed using Google Forms (Google LLC, Mountain View, CA, USA) and WhatsApp (Meta, Menlo Park, CA, USA). Data was entered, cleaned, and analyzed using SPSS Statistics version 27 (IBM Corp., Armonk, NY, USA). Informed consent was obtained from every participant, and the participants' information was kept confidential. Results In this study, 52.4% of the women (323/617) had moderate knowledge, and 27.6% (170/617) had excellent knowledge about GDM. Only 13.3% (n = 82) knew the optimum time (24 to 28 weeks of gestational age) for gestational diabetes screening in the absence of risk factors. Moreover, 44.6% (n = 275) knew that insulin is one of the treatments for gestational diabetes, while 45.4% (n = 280) knew that gestational diabetes increases a baby's risk of obesity and type 2 diabetes mellitus (T2DM) later in life. A statistically significant association was found between the development of GDM with multigravida (19.5%), a BMI of >25 (15%), and age 31 to 45 years (17.8%), with corresponding p-values of 0.001, 0.0001, and 0.0001, respectively. Conclusion In this study, almost four-fifths of the study population had moderate to excellent knowledge regarding GDM. However, there is a need to enhance knowledge about optimum screening time and insulin use for gestational diabetes treatment. Therefore, encouraging the existing population to learn more about diabetes education programs and health promotional measures should be undertaken periodically. Further studies are required to support this study's findings.
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Affiliation(s)
- Salem D Almatrafi
- Family Medicine, Family Medicine Academy, Qassim Health Cluster, Buraydah, SAU
| | - Chandra Sekhar
- Family Medicine, Family Medicine Academy, Qassim Health Cluster, Buraydah, SAU
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4
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Liu Y, Chen H, Zhang M, Zhu G, Yang Y, Li Y, Lu W, Zhang H. The relationship between urinary selenium levels and risk of gestational diabetes mellitus: A nested case–control study. Front Public Health 2023; 11:1145113. [PMID: 37050957 PMCID: PMC10083259 DOI: 10.3389/fpubh.2023.1145113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 03/10/2023] [Indexed: 03/29/2023] Open
Abstract
BackgroundSelenium (Se) is an essential trace element for the human body. Serum Se and urinary Se are also biomarkers to assess Se exposure status. However, studies focusing on the association between urinary Se and the risk of gestational diabetes mellitus (GDM) are rare.ObjectiveTo investigate the association between urinary Se and the risk of GDM.MethodsA nested case–control study based on a prospective birth cohort in Wuhan, China, which focuses on the effects of prenatal environmental factors exposure on pregnant women and children’s health was conducted. Two hundred and twenty-six cases and 452 controls were included. Maternal urine samples were collected before GDM diagnosis, and the urinary Se levels were determined. We assessed the association of urinary Se with GDM by conditional logistic regression with maternal urinary Se level as a categorical variable, and estimated the association between Se and glucose levels by multiple linear regression. The potential modifier roles of maternal age and fetal sex have also been assessed.ResultsLower urinary level of Se was significantly associated with a higher risk of GDM (OR = 2.35 for the tertile 1, 95% CI:1.36-4.06; adjusted OR = 1.79 for the tertile 2, 95%CI:1.09-2.95; p for trend = 0.01). Fetal sex had an interaction with Se in the association with GDM. The association was more pronounced among pregnant women with female fetuses than with male fetuses.DiscussionOur study suggested a significant negative association between urinary Se and the risk of GDM, and this association may vary depending on the fetal sex.
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Affiliation(s)
- Yuanxia Liu
- College of Medicine and Health, Wuhan Polytechnic University, Wuhan, China
| | - Hongmei Chen
- School of Health and Nursing, Wuchang University of Technology, Wuhan, China
| | - Mengtian Zhang
- College of Medicine and Health, Wuhan Polytechnic University, Wuhan, China
| | - Gangjiao Zhu
- College of Medicine and Health, Wuhan Polytechnic University, Wuhan, China
| | - Yan Yang
- College of Medicine and Health, Wuhan Polytechnic University, Wuhan, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health (HUST), Ministry of Education and Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Lu
- College of Medicine and Health, Wuhan Polytechnic University, Wuhan, China
- *Correspondence: Wei Lu,
| | - Hongling Zhang
- College of Medicine and Health, Wuhan Polytechnic University, Wuhan, China
- Hongling Zhang,
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Peng Y, Han N, Su T, Zhou S, Bao H, Ji Y, Luo S, Liu J, Wang HJ. Gestational weight gain and the risk of gestational diabetes mellitus: A latent class trajectory analysis using birth cohort data. Diabetes Res Clin Pract 2021; 182:109130. [PMID: 34774643 DOI: 10.1016/j.diabres.2021.109130] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Revised: 09/02/2021] [Accepted: 11/02/2021] [Indexed: 01/09/2023]
Abstract
AIMS To explore trajectories of gestational weight gain (GWG) before diagnosis and its association with risk of gestational diabetes mellitus (GDM). METHODS A population-based retrospective cohort study including 37,060 women with live singleton was conducted between 2013 and 2019 in China. Latent class trajectory model (LCTM) was used to identify GWG trajectories, and Poisson regression with robust error estimates was used to estimate risk ratio (RR) of GDM. RESULTS Among total 37,060 participants, 25.47% of women were developed with GDM. Two trajectories of GWG were identified as non-excessive weight gain (94.31%) and excessive weight gain (5.69%) before diagnosis of GDM. Women with excessive GWG trajectory before diagnosis had significantly 32.8% (aRR = 1.328, 95 %CI: 1.252 ∼ 1.409, P < 0.001) increased risk of developing GDM compared with non-excessive GWG trajectory. Women with excessive GWG trajectory also had higher risk of macrosomia (aRR = 1.476, 95 %CI: 1.307 ∼ 1.666, P < 0.001) and cesarean delivery (aRR = 1.126, 95 %CI: 1.081 ∼ 1.174, P < 0.001). The impact of excessive GWG trajectory on GDM was greater among pre-pregnancy normal weight women compared with overweight/obese or underweight women. CONCLUSION Women with excessive GWG trajectory before diagnosis had significantly higher risk of GDM and GDM-related adverse outcomes, and pre-pregnancy normal weight women with excessive GWG trajectory should also be concerned.
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Affiliation(s)
- Yuanzhou Peng
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Na Han
- Maternal and Child Health Care Hospital of Tongzhou District, Beijing 101101, China
| | - Tao Su
- Maternal and Child Health Care Hospital of Tongzhou District, Beijing 101101, China
| | - Shuang Zhou
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Heling Bao
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Yuelong Ji
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Shusheng Luo
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
| | - Hai-Jun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing 100191, China.
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6
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Jia X, Zhang L, Zhao J, Ren M, Li Z, Wang J, Wang S, Liu Y, An H, Li Y, Yan L, Li Z, Liu X, Pan B, Ye R. Associations between endocrine-disrupting heavy metals in maternal hair and gestational diabetes mellitus: A nested case-control study in China. ENVIRONMENT INTERNATIONAL 2021; 157:106770. [PMID: 34314978 DOI: 10.1016/j.envint.2021.106770] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 07/02/2021] [Accepted: 07/07/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Exposure to environmental endocrine disruptors (EDCs) may lead to abnormal glucose metabolism and, potentially, gestational diabetes mellitus (GDM). OBJECTIVE We investigated the association between five endocrine-disrupting heavy metals (EDHMs), i.e., arsenic (As), cadmium (Cd), lead (Pb), mercury (Hg), and tin (Sn), in maternal hair and the risk of GDM. METHODS We conducted a nested case-control study including 335 GDM cases and 343 controls without GDM based on a prospective birth cohort established in Beijing, China. Concentrations of EDHMs were analyzed in maternal hair. Log-binomial regression and multiple linear regression were used to estimate the associations between the hair concentrations of single metals and the risk of GDM, while weighted quantile sum (WQS) regression for their mixed effects. RESULTS The median concentrations of Hg (0.442 vs. 0.403 μg/g) and Sn (0.171 vs. 0.140 μg/g) in the case group were significantly higher than those in the control group. No differences were found between the two groups for the other three metals. After adjusting for confounders, the prevalence ratio (PR; highest vs. lowest tertile) of GDM risk for Hg was 1.27 (95% confidence interval [CI]: 1.05-1.54), while that for Sn was 1.26 (95% CI: 1.04-1.53). Among women with a body mass index < 24 kg/m2, the PR (highest vs. lowest tertile) of GDM for Sn was 1.38 (95% CI: 1.09-1.75). The effect of exposure to the five EDHMs on the risk of GDM was estimated by WQS regression: Sn and Hg made the largest contributions to the WQS index (40.9% and 40.3%, respectively). CONCLUSION High maternal levels of EDHMs, particularly Sn and Hg, may promote the development of GDM.
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Affiliation(s)
- Xiaoqian Jia
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Le Zhang
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Jing Zhao
- Department of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, 650051, PR China
| | - Mengyuan Ren
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Zewu Li
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Jiamei Wang
- Department of Obstetrics and Gynecology, Haidian Maternal and Child Care Hospital, Beijing 100101, PR China
| | - Shuo Wang
- Department of Obstetrics and Gynecology, Haidian Maternal and Child Care Hospital, Beijing 100101, PR China
| | - Yingying Liu
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Hang An
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Yuhuan Li
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
| | - Lailai Yan
- Department of Laboratorial Science and Technology, School of Public Health, Peking University, Beijing 100191, PR China
| | - Zhiwen Li
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China.
| | - Xiaohong Liu
- Department of Obstetrics and Gynecology, Haidian Maternal and Child Care Hospital, Beijing 100101, PR China.
| | - Bo Pan
- Department of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, 650051, PR China.
| | - Rongwei Ye
- Institute of Reproductive and Child Health, Peking University/ Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, PR China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, PR China
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7
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Bi J, Wu M, Liu Y, Song L, Wang L, Liu Q, Chen K, Xiong C, Li Y, Xia W, Xu S, Zhou A, Wang Y. Association between maternal urinary manganese concentrations and newborn telomere length: Results from a birth cohort study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 213:112037. [PMID: 33609998 DOI: 10.1016/j.ecoenv.2021.112037] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 02/02/2021] [Accepted: 02/05/2021] [Indexed: 05/25/2023]
Abstract
OBJECTIVE Telomere length (TL) is a biomarker for biological aging, and the initial setting of TL at birth is a determinant factor of TL in later life. Newborn TL is sensitive to maternal metals concentrations, while study about the association between maternal manganese (Mn) concentrations and newborn TL was not found. Our study aimed to investigate whether newborn TL is related to maternal Mn concentrations. METHODS Data were collected from a birth cohort study of 762 mother-newborn pairs conducted from November 2013 to March 2015 in Wuhan, China. We measured the Mn concentrations in spot urine samples collected during three trimesters by inductively coupled plasma mass spectrometry (ICP-MS) and relative cord blood TL by quantitative real-time polymerase chain reaction (qPCR). We applied multiple informant models to investigate the associations between maternal Mn concentrations and cord blood TL. RESULTS The geometric mean of creatinine-corrected urinary Mn concentrations were 1.58 μg/g creatinine, 2.53 μg/g creatinine, and 2.62 μg/g creatinine in the first, second, and third trimester, respectively. After adjusting for potential confounders, a doubling of maternal urinary Mn concentration during the second trimester was related to a 2.10% (95% CI: 0.25%, 3.99%) increase in cord blood TL. Mothers with the highest tertile of urinary Mn concentrations during the second trimester had a 9.67% (95% CI: 2.13%, 17.78%) longer cord blood TL than those with the lowest tertile. This association was more evident in male infants. No relationship was found between maternal urinary Mn concentrations and cord blood TL during the first and third trimesters in our study. CONCLUSIONS Our findings suggested that maternal Mn concentration during the second trimester was positively associated with newborn TL. These results might provide an epidemiology evidence on the protective role of maternal Mn for newborn TL and offer clues for the early prevention of telomere shortening related diseases.
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Affiliation(s)
- Jianing Bi
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030 Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Mingyang Wu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030 Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yunyun Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030 Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lulu Song
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030 Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Lulin Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030 Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qing Liu
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030 Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Kai Chen
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030 Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chao Xiong
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Aifen Zhou
- Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Youjie Wang
- Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Hangkong Road 13, 430030 Wuhan, Hubei, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Ticconi C, Pietropolli A, Specchia M, Nicastri E, Chiaramonte C, Piccione E, Scambia G, Di Simone N. Pregnancy-Related Complications in Women with Recurrent Pregnancy Loss: A Prospective Cohort Study. J Clin Med 2020; 9:jcm9092833. [PMID: 32882985 PMCID: PMC7564138 DOI: 10.3390/jcm9092833] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/31/2020] [Accepted: 08/31/2020] [Indexed: 12/16/2022] Open
Abstract
The aim of this prospective cohort study was to determine whether women with recurrent pregnancy loss (RPL) have an increased risk of pregnancy complications compared to normal pregnant women. A total of 1092 singleton pregnancies were followed, 431 in women with RPL and 661 in normal healthy women. The prevalence of the following complications was observed: threatened miscarriage, miscarriage, cervical insufficiency, chromosomal/genetic abnormalities, fetal anomalies, oligohydramnios, polyhydramnios, fetal growth restriction, intrauterine fetal death, gestational diabetes mellitus (GDM), preeclampsia, placenta previa, abruptio placentae, pregnancy-related liver disorders, and preterm premature rupture of the membranes. The odds ratio and 95% CI for each pregnancy complication considered were determined by comparing women with RPL and normal healthy women. Women with RPL had an overall rate of pregnancy complications higher than normal women (OR = 4.37; 95% CI: 3.353–5.714; p < 0.0001). Their risk was increased for nearly all the conditions considered. They also had an increased risk of multiple concomitant pregnancy complications (OR = 4.64; 95% CI: 3.10–6.94, p < 0.0001). Considering only women with RPL, women with ≥3 losses had a higher risk of pregnancy complications than women with two losses (OR = 1.269; 95% CI: 1.112–2.386, p < 0.02). No differences were found in the overall risk of pregnancy complications according to the type, explained or unexplained, of RPL. Women with secondary RPL had an increased risk of GDM than women with primary RPL. Pregnancy in women with RPL should be considered at high risk.
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Affiliation(s)
- Carlo Ticconi
- Department of Surgical Sciences, Section of Gynecology and Obstetrics, University Tor Vergata, 00168 Rome, Italy; (A.P.); (E.N.); (E.P.)
- Correspondence:
| | - Adalgisa Pietropolli
- Department of Surgical Sciences, Section of Gynecology and Obstetrics, University Tor Vergata, 00168 Rome, Italy; (A.P.); (E.N.); (E.P.)
| | - Monia Specchia
- Unità Operativa Complessa (U.O.C.) di Ostetricia e Patologia Ostetrica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A.Gemelli Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), 00168 Rome, Italy; (M.S.); (N.D.S.)
- Istituto di Clinica Ostetrica e Ginecologica, Università Cattolica del Sacro Cuore, 00168 Rome, Italy;
| | - Elena Nicastri
- Department of Surgical Sciences, Section of Gynecology and Obstetrics, University Tor Vergata, 00168 Rome, Italy; (A.P.); (E.N.); (E.P.)
| | - Carlo Chiaramonte
- Department of Biomedicine and Prevention, University Tor Vergata, Viale Oxford 81, 00133 Rome, Italy;
| | - Emilio Piccione
- Department of Surgical Sciences, Section of Gynecology and Obstetrics, University Tor Vergata, 00168 Rome, Italy; (A.P.); (E.N.); (E.P.)
| | - Giovanni Scambia
- Istituto di Clinica Ostetrica e Ginecologica, Università Cattolica del Sacro Cuore, 00168 Rome, Italy;
- U.O.C. di Ginecologia Oncologica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Nicoletta Di Simone
- Unità Operativa Complessa (U.O.C.) di Ostetricia e Patologia Ostetrica, Dipartimento di Scienze della Salute della Donna, del Bambino e di Sanità Pubblica, Fondazione Policlinico Universitario A.Gemelli Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS), 00168 Rome, Italy; (M.S.); (N.D.S.)
- Istituto di Clinica Ostetrica e Ginecologica, Università Cattolica del Sacro Cuore, 00168 Rome, Italy;
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