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Deng X, Pan B, Lai H, Sun Q, Lin X, Yang J, Han X, Ge T, Li Q, Ge L, Liu X, Ma N, Wang X, Li D, Yang Y, Yang K. Association of previous stillbirth with subsequent perinatal outcomes: a systematic review and meta-analysis of cohort studies. Am J Obstet Gynecol 2024; 231:211-222. [PMID: 38437893 DOI: 10.1016/j.ajog.2024.02.304] [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: 09/28/2023] [Revised: 02/22/2024] [Accepted: 02/27/2024] [Indexed: 03/06/2024]
Abstract
OBJECTIVE We conducted a systematic review and meta-analysis to examine the relationship between stillbirth and various perinatal outcomes in subsequent pregnancy. DATA SOURCES PubMed, the Cochrane Library, Embase, Web of Science, and CNKI databases were searched up to July 2023. STUDY ELIGIBILITY CRITERIA Cohort studies that reported the association between stillbirth and perinatal outcomes in subsequent pregnancies were included. METHODS We conducted this systematic review and meta-analysis in accordance with the PRISMA guidelines. Statistical analysis was performed using R and Stata software. We used random-effects models to pool each outcome of interest. We performed a meta-regression analysis to explore the potential heterogeneity. The certainty (quality) of evidence assessment was performed using the GRADE approach. RESULTS Nineteen cohort studies were included, involving 4,855,153 participants. From these studies, we identified 28,322 individuals with previous stillbirths who met the eligibility criteria. After adjusting for confounders, evidence of low to moderate certainty indicated that compared with women with previous live births, women with previous stillbirths had higher risks of recurrent stillbirth (odds ratio, 2.68; 95% confidence interval, 2.01-3.56), preterm birth (odds ratio, 3.15; 95% confidence interval, 2.07-4.80), neonatal death (odds ratio, 4.24; 95% confidence interval, 2.65-6.79), small for gestational age/intrauterine growth restriction (odds ratio, 1.3; 95% confidence interval, 1.0-1.8), low birthweight (odds ratio, 3.32; 95% confidence interval, 1.46-7.52), placental abruption (odds ratio, 3.01; 95% confidence interval, 1.01-8.98), instrumental delivery (odds ratio, 2.29; 95% confidence interval, 1.68-3.11), labor induction (odds ratio, 4.09; 95% confidence interval, 1.88-8.88), cesarean delivery (odds ratio, 2.38; 95% confidence interval, 1.20-4.73), elective cesarean delivery (odds ratio, 2.42; 95% confidence interval, 1.82-3.23), and emergency cesarean delivery (odds ratio, 2.35; 95% confidence interval, 1.81-3.06) in subsequent pregnancies, but had a lower rate of spontaneous labor (odds ratio, 0.22; 95% confidence interval, 0.13-0.36). However, there was no association between previous stillbirth and preeclampsia (odds ratio, 1.72; 95% confidence interval, 0.63-4.70) in subsequent pregnancies. CONCLUSION Our systematic review and meta-analysis provide a more comprehensive understanding of adverse pregnancy outcomes associated with previous stillbirth. These findings could be used to inform counseling for couples who are considering pregnancy after a previous stillbirth.
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Affiliation(s)
- Xiyuan Deng
- First School of Clinical Medicine, Lanzhou University, Lanzhou, China; Department of Obstetrics and Gynecology, First Hospital of Lanzhou University, Key Laboratory of Gynecologic Oncology Gansu Province, Lanzhou, China; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China; Gansu Province Prenatal Diagnosis Center, Key Laboratory of Prevention and Control of Birth Defects of Gansu Province, Gansu Provincial Maternity and Child-Care Hospital/Central Hospital of Gansu Province, Lanzhou, China; Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Bei Pan
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China; Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Honghao Lai
- Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Qingmei Sun
- Gansu Province Prenatal Diagnosis Center, Key Laboratory of Prevention and Control of Birth Defects of Gansu Province, Gansu Provincial Maternity and Child-Care Hospital/Central Hospital of Gansu Province, Lanzhou, China
| | - Xiaojuan Lin
- Gansu Province Prenatal Diagnosis Center, Key Laboratory of Prevention and Control of Birth Defects of Gansu Province, Gansu Provincial Maternity and Child-Care Hospital/Central Hospital of Gansu Province, Lanzhou, China
| | - Jinwei Yang
- Gansu Province Prenatal Diagnosis Center, Key Laboratory of Prevention and Control of Birth Defects of Gansu Province, Gansu Provincial Maternity and Child-Care Hospital/Central Hospital of Gansu Province, Lanzhou, China
| | - Xin Han
- Gansu Province Prenatal Diagnosis Center, Key Laboratory of Prevention and Control of Birth Defects of Gansu Province, Gansu Provincial Maternity and Child-Care Hospital/Central Hospital of Gansu Province, Lanzhou, China
| | - Tingting Ge
- Gansu Province Prenatal Diagnosis Center, Key Laboratory of Prevention and Control of Birth Defects of Gansu Province, Gansu Provincial Maternity and Child-Care Hospital/Central Hospital of Gansu Province, Lanzhou, China
| | - Qiuyuan Li
- First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Long Ge
- Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Xiaowei Liu
- First School of Clinical Medicine, Lanzhou University, Lanzhou, China; Department of Obstetrics and Gynecology, First Hospital of Lanzhou University, Key Laboratory of Gynecologic Oncology Gansu Province, Lanzhou, China; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China; Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Ning Ma
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Xiaoman Wang
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China; Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Dan Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China; Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Yongxiu Yang
- First School of Clinical Medicine, Lanzhou University, Lanzhou, China; Department of Obstetrics and Gynecology, First Hospital of Lanzhou University, Key Laboratory of Gynecologic Oncology Gansu Province, Lanzhou, China.
| | - Kehu Yang
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China; Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China.
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Nijkamp JW, Ravelli ACJ, Groen H, Erwich JJHM, Mol BWJ. Stillbirth and neonatal mortality in a subsequent pregnancy following stillbirth: a population-based cohort study. BMC Pregnancy Childbirth 2022; 22:11. [PMID: 34983439 PMCID: PMC8725424 DOI: 10.1186/s12884-021-04355-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 12/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND A history of stillbirth is a risk factor for recurrent fetal death in a subsequent pregnancy. Reported risks of recurrent fetal death are often not stratified by gestational age. In subsequent pregnancies increased rates of medical interventions are reported without evidence of perinatal benefit. The aim of this study was to estimate gestational-age specific risks of recurrent stillbirth and to evaluate the effect of obstetrical management on perinatal outcome after previous stillbirth. METHODS A retrospective cohort study in the Netherlands was designed that included 252.827 women with two consecutive singleton pregnancies (1st and 2nd delivery) between 1999 and 2007. Data was obtained from the national Perinatal Registry and analyzed for pregnancy outcomes. Fetal deaths associated with a congenital anomaly were excluded. The primary outcome was the occurrence of stillbirth in the second pregnancy stratified by gestational age. Secondary outcome was the influence of obstetrical management on perinatal outcome in a subsequent pregnancy. RESULTS Of 252.827 first pregnancies, 2.058 pregnancies ended in a stillbirth (8.1 per 1000). After adjusting for confounding factors, women with a prior stillbirth have a two-fold higher risk of recurrence (aOR 1.96, 95% CI 1.07-3.60) compared to women with a live birth in their first pregnancy. The highest risk of recurrence occurred in the group of women with a stillbirth in early gestation between 22 and 28 weeks of gestation (a OR 2.25, 95% CI 0.62-8.15), while after 32 weeks the risk decreased. The risk of neonatal death after 34 weeks of gestation is higher in women with a history of stillbirth (aOR 6.48, 95% CI 2.61-16.1) and the risk of neonatal death increases with expectant obstetric management (aOR 10.0, 95% CI 2.43-41.1). CONCLUSIONS A history of stillbirth remains an important risk for recurrent stillbirth especially in early gestation (22-28 weeks). Women with a previous stillbirth should be counselled for elective induction in the subsequent pregnancy at 37-38 weeks of gestation to decrease the risk of perinatal death.
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Affiliation(s)
- Janna W Nijkamp
- Department of Obstetrics and Gynecology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
| | - Anita C J Ravelli
- Department of Medical Informatics, Academic Medical Center Amsterdam, Amsterdam, Netherlands
| | - Henk Groen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Jan Jaap H M Erwich
- Department of Obstetrics and Gynecology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Ben Willem J Mol
- Department of Obstetrics and Gynecology, Monash University, Monash Medical Center, Clayton, Australia
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Xue T, Guan T, Geng G, Zhang Q, Zhao Y, Zhu T. Estimation of pregnancy losses attributable to exposure to ambient fine particles in south Asia: an epidemiological case-control study. Lancet Planet Health 2021; 5:e15-e24. [PMID: 33421406 DOI: 10.1016/s2542-5196(20)30268-0] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 10/09/2020] [Accepted: 10/26/2020] [Indexed: 06/12/2023]
Abstract
BACKGROUND Maternal exposure to ambient particulate matter (PM2·5) is associated with pregnancy loss (ie, stillbirth and miscarriage). South Asia has the highest burden of pregnancy loss globally and is one of the most PM2·5 polluted regions in the world. However, knowledge of the relevant exposure-response function for mothers is insufficient. METHODS In this epidemiological case-control study, we collected data from Demographic and Health Surveys from India, Pakistan, and Bangladesh for the period 1998-2016 for women who reported at least one pregnancy loss and one or more livebirths. We assessed ambient exposure during gestation with satellite-based PM2·5 measurements for the period. To derive the exposure-response function, we did a self-compared case-control study in which each case of pregnancy loss was compared with a successful livebirth control or controls by the same mother. Using the estimated exposure-response function, we quantified pregnancy losses attributable to PM2·5 in the region for the period 2000-16 using a standard risk assessment approach. FINDINGS We assessed data for 34 197 mothers, who had at least one pregnancy loss and one or more livebirth, of whom 26 282 (76·9%) were from India, 4228 (12·4%) were from Pakistan, and 3687 (10·8%) were from Bangladesh. The 34 197 cases of pregnancy loss were matched with 76 282 livebirth controls. The mean level of PM2·5 exposure was 56·00 μg/m3 (SD 30·82) for cases and 54·57 μg/m3 (31·73) for controls. After adjustment for maternal age, non-linear terms for temperature and humidity, seasonal variation, and long-term trends, each 10 μg/m3 increment in PM2·5 was associated with an odds ratio for pregnancy loss of 1·03 (95% CI 1·02-1·05). According to the estimated non-linear exposure-response function by age and urban residence versus rural residence, for the period 2000-16, an estimated 349 681 (95% CI 152 932-489 493) pregnancy losses per year were attributed to ambient air exposure of more than 40 μg/m3 (the annual PM2·5 standard of India), accounting for 7·1% (95% CI 3·3-31·2) of the total annual pregnancy loss burden in south Asia for this period. However, our estimates could be biased because of the limitations of the data (eg, misclassification of induced and spontaneous pregnancy losses). INTERPRETATION Our findings add to epidemiological evidence of the association between pregnancy loss and PM2·5. Suboptimal air quality contributes to a considerable fraction of total pregnancy loss in south Asia. Controlling PM2·5 pollution will promote maternal health in south Asia. FUNDING Chinese Natural Science Foundation and Ministry of Science and Technology of China.
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Affiliation(s)
- Tao Xue
- Institute of Reproductive and Child Health, Ministry of Health Key Laboratory of Reproductive Health, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
| | - Tianjia Guan
- School of Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guannan Geng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, China
| | - Qiang Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Yong Zhao
- College of Liberal Arts and Sciences, University of Connecticut, Storrs, CT, USA
| | - Tong Zhu
- BIC-ESAT and SKL-ESPC, College of Environmental Science and Engineering, Peking University, Beijing, China.
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Yamaoka Y, Morisaki N, Noguchi H, Takahashi H, Tamiya N. Comprehensive Assessment of Risk Factors of Cause-Specific Infant Deaths in Japan. J Epidemiol 2018; 28:307-314. [PMID: 29434084 PMCID: PMC5976875 DOI: 10.2188/jea.je20160188] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background Public attention is given to infants with socially high risks of child abuse and neglect, while clinical attention is provided to infants with a biologically high risk of diseases. However, few studies have systematically evaluated how biological or social factors cross over and affect cause-specific infant mortality. Methods We linked birth data with death data from the Japanese national vital statistics database for all infants born from 2003–2010. Using multivariate logistic regression, we examined the association between biological and social factors and infant mortality due to medical causes (internal causes), abuse (intentional external causes), and accidents (unintentional external causes). Results Of 8,941,501 births, 23,400 (0.26%) infants died by 1 year of age, with 21,884 (93.5%) due to internal causes, 175 (0.75%) due to intentional external causes, and 1,194 (5.1%) due to unintentional external causes. Infants with high social risk (teenage mothers, non-Japanese mothers, single mothers, unemployed household, four or more children in the household, or birth outside of health care facility) had higher risk of death by intentional, unintentional, and internal causes. Infant born with small for gestational age and preterm had higher risks of deaths by internal and unintentional causes, but not by intentional causes. Conclusions Both biological as well as social factors were associated with infant deaths due to internal and external causes. Interdisciplinary support from both public health and clinical-care professionals is needed for infants with high social or biological risk to prevent disease and injury.
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Affiliation(s)
- Yui Yamaoka
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba
| | - Naho Morisaki
- Department of Social Medicine, National Center for Child Health and Development
| | - Haruko Noguchi
- Faculty of Political Science and Economics, Waseda University
| | - Hideto Takahashi
- Office of Information Management and Statistics, Radiation Medical Science Center for the Fukushima Health Management Survey, Faculty of Medicine, Fukushima Medical University
| | - Nanako Tamiya
- Department of Health Services Research, Faculty of Medicine, University of Tsukuba
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