Dataset Information

Factors associated with stillbirth in women with diabetes.

ABSTRACT:

Aims/hypothesis

Stillbirth risk is increased in pregnancy complicated by diabetes. Fear of stillbirth has major influence on obstetric management, particularly timing of delivery. We analysed population-level data from Scotland to describe timing of stillbirths in women with diabetes and associated risk factors.

Methods

A retrospective cohort of singleton deliveries to mothers with type 1 (n?=?3778) and type 2 diabetes (n?=?1614) from 1 April 1998 to 30 June 2016 was analysed using linked routine care datasets. Maternal and fetal characteristics, HbA_1c data and delivery timing were compared between stillborn and liveborn groups.

Results

Stillbirth rates were 16.1 (95% CI 12.4, 20.8) and 22.9 (95% CI 16.4, 31.8) per 1000 births in women with type 1 (n?=?61) and type 2 diabetes (n?=?37), respectively. In women with type 1 diabetes, higher HbA_1c before pregnancy (OR 1.03 [95% CI 1.01, 1.04]; p?=?0.0003) and in later pregnancy (OR 1.06 [95% CI 1.04, 1.08]; p 1c (OR 1.02 [95% CI 1.00, 1.04]; p?=?0.016) were associated with stillbirth. Risk was highest in infants with birthweights <10th centile (sixfold higher born to women with type 1 diabetes [n?=?5 stillbirths, 67 livebirths]; threefold higher for women with type 2 diabetes [n?=?4 stillbirths, 78 livebirths]) compared with those in the 10th-90th centile (n?=?20 stillbirths, 1685 livebirths). Risk was twofold higher in infants with birthweights >95th centile born to women with type 2 diabetes (n?=?15 stillbirths, 402 livebirths). A high proportion of stillborn infants were male among mothers with type 2 diabetes (81.1% vs 50.5% livebirths, p?=?0.0002). A third of stillbirths occurred at term, with highest rates in the 38th week (7.0 [95% CI 3.7, 12.9] per 1000 ongoing pregnancies) among mothers with type 1 diabetes and in the 39th week (9.3 [95% CI 2.4, 29.2]) for type 2 diabetes.

Conclusions/interpretation

Maternal blood glucose levels and BMI are important modifiable risk factors for stillbirth in diabetes. Babies at extremes of weight centiles are at most risk. Many stillbirths occur at term and could potentially be prevented by change in routine care and delivery policies.

SUBMITTER: Mackin ST

PROVIDER: S-EPMC6731193 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Factors associated with stillbirth in women with diabetes.

Mackin Sharon T ST Nelson Scott M SM Wild Sarah H SH Colhoun Helen M HM Wood Rachael R Lindsay Robert S RS

Diabetologia 20190729 10

<h4>Aims/hypothesis</h4>Stillbirth risk is increased in pregnancy complicated by diabetes. Fear of stillbirth has major influence on obstetric management, particularly timing of delivery. We analysed population-level data from Scotland to describe timing of stillbirths in women with diabetes and associated risk factors.<h4>Methods</h4>A retrospective cohort of singleton deliveries to mothers with type 1 (n = 3778) and type 2 diabetes (n = 1614) from 1 April 1998 to 30 June 2016 was analysed usin ...[more]

PMID: 31353418

Similar Datasets

Project description:BackgroundCompared to women with a live birth, women with a stillbirth are more likely to have maternal complications during pregnancy and at birth, but risk factors related to their postpartum health are uncertain.ObjectiveThis study aimed to identify patient-level risk factors for postpartum hospital readmission among women after having a stillbirth.Study designThis was a population-based cohort study of 29,654 women with a stillbirth in California from 1997 to 2011. Using logistic regression models, we examined the association of maternal patient-level factors with postpartum readmission among women after a stillbirth within 6 weeks of hospital discharge and between 6 weeks and 9 months after delivery.ResultsWithin 6 weeks after a stillbirth, 642 women (2.2%) had a postpartum readmission. Risk factors for postpartum readmission after a stillbirth were severe maternal morbidity excluding transfusion (adjusted odds ratio, 3.02; 95% confidence interval, 2.28-4.00), transfusion at delivery but no other indication of severe maternal morbidity (adjusted odds ratio, 1.95; 95% confidence interval, 1.35-2.81), gestational hypertension or preeclampsia (adjusted odds ratio, 1.93; 95% confidence interval, 1.54-2.42), prepregnancy hypertension (adjusted odds ratio, 1.80; 95% confidence interval, 1.36-2.37), diabetes mellitus (adjusted odds ratio, 1.78; 95% confidence interval, 1.33-2.37), antenatal hospitalization (adjusted odds ratio, 1.78; 95% confidence interval, 1.43-2.21), cesarean delivery (adjusted odds ratio, 1.73; 95% confidence interval, 1.43-2.21), long length of stay in the hospital after delivery (>2 days for vaginal delivery and >4 days for cesarean delivery) (adjusted odds ratio, 1.59; 95% confidence interval, 1.33-1.89), non-Hispanic black race and ethnicity (adjusted odds ratio, 1.38; 95% confidence interval, 1.08-1.76), and having less than a high school education (adjusted odds ratio, 1.35; 95% confidence interval, 1.02-1.80). From 6 weeks to 9 months, 1169 women (3.90%) had a postpartum readmission; significantly associated risk factors were largely similar to those for earlier readmission.ConclusionWomen with comorbidities, with birth-related complications, of non-Hispanic black race and ethnicity, or with less education had increased odds of postpartum readmission after having a stillbirth, highlighting the importance of continued care for these women after discharge from the hospital.

Project description:Introduction98% of the 2.6 million stillbirths per annum occur in low and middle income countries. However, understanding of risk factors for stillbirth in these settings is incomplete, hampering efforts to develop effective strategies to prevent deaths.MethodsA cross-sectional study of eligible women on the postnatal ward at Mpilo Hospital, Zimbabwe was undertaken between 01/08/2018 and 31/03/2019 (n = 1779). Data were collected from birth records for maternal characteristics, obstetric and past medical history, antenatal care and pregnancy outcome. A directed acyclic graph was constructed with multivariable logistic regression performed to fit the corresponding model specification to data comprising singleton pregnancies, excluding neonatal deaths (n = 1734), using multiple imputation for missing data. Where possible, findings were validated against all women with births recorded in the hospital birth register (n = 1847).ResultsRisk factors for stillbirth included: previous stillbirth (29/1691 (2%) of livebirths and 39/43 (91%) of stillbirths, adjusted Odds Ratio (aOR) 2628.9, 95% CI 342.8 to 20,163.0), antenatal care (aOR 44.49 no antenatal care vs. > 4 antenatal care visits, 95% CI 6.80 to 291.19), maternal medical complications (aOR 7.33, 95% CI 1.99 to 26.92) and season of birth (Cold season vs. Mild aOR 14.29, 95% CI 3.09 to 66.08; Hot season vs. Mild aOR 3.39, 95% CI 0.86 to 13.27). Women who had recurrent stillbirth had a lower educational and health status (18.2% had no education vs. 10.0%) and were less likely to receive antenatal care (20.5% had no antenatal care vs. 6.6%) than women without recurrent stillbirth.ConclusionThe increased risk in women who have a history of stillbirth is a novel finding in Low and Middle Income Countries (LMICs) and is in agreement with findings from High Income Countries (HICs), although the estimated effect size is much greater (OR in HICs ~ 5). Developing antenatal care for this group of women offers an important opportunity for stillbirth prevention.

Project description:BACKGROUND: Death of an infant in utero or at birth has always been a devastating experience for the mother and of concern in clinical practice. Infant mortality remains a challenge in the care of pregnant women worldwide, but particularly for developing countries and the need to understand contributory factors is crucial for addressing appropriate perinatal health. METHODS: Using information available in obstetric records for all deliveries (17,072 births) at Harare Maternity Hospital, Zimbabwe, we conducted a cross-sectional retrospective analysis of a one-year data, (1997-1998) to assess demographic and obstetric risk factors for stillbirth and early neonatal death. We estimated risk of stillbirth and early neonatal death for each potential risk factor. RESULTS: The annual frequency of stillbirth was 56 per 1,000 total births. Women delivering stillbirths and early neonatal deaths were less likely to receive prenatal care (adjusted relative risk [RR] = 2.54; 95% confidence intervals [CI] 2.19-2.94 and RR = 2.52; 95% CI 1.63-3.91), which for combined stillbirths and early neonatal deaths increased with increasing gestational age (Hazard Ratio [HR] = 3.98, HR = 7.49 at 28 and 40 weeks of gestation, respectively). Rural residence was associated with risk of infant dying in utero, (RR = 1.33; 95% CI 1.12-1.59), and the risk of death increased with increasing gestational age (HR = 1.04, HR = 1.69, at 28 and 40 weeks of gestation, respectively). Older maternal age was associated with risk of death (HR = 1.50; 95% CI 1.21-1.84). Stillbirths were less likely to be delivered by Cesarean section (RR = 0.64; 95% CI 0.51-0.79), but more likely to be delivered as breech (RR = 4.65; 95% CI 3.88-5.57, as were early neonatal deaths (RR = 3.38; 95% CI 1.64-6.96). CONCLUSION: The frequency of stillbirth, especially macerated, is high, 27 per 1000 total births. Early prenatal care could help reduce perinatal death linking the woman to the health care system, increasing the probability that she would seek timely emergency care that would reduce the likelihood of death of her infant in utero. Improved quality of obstetric care during labor and delivery may help reduce the number of fresh stillbirths and early neonatal deaths.

Project description:ObjectiveAlthough the rate of stillbirth has decreased globally, it remains unacceptably high in developing countries. Today, only 10 countries share the burden of more than 65% of the global rate of stillbirth and these include Ethiopia. Ethiopia ranks seventh in terms of high rate of stillbirths. Exploring the spatial distribution of stillbirth is critical to developing successful interventions and monitoring public health programmes. However, there is no study on the spatial distribution and the associated factors of stillbirth in Ethiopia. Therefore, this study aimed to explore the spatial distribution and the associated factors of stillbirth.MethodsSecondary data analysis was conducted based on the 2016 Ethiopian Demographic and Health Survey data. A total weighted sample of 11 375 women were included in the analysis. The Bernoulli model was fitted using SaTScan V.9.6 to identify hotspot areas and ArcGIS V.10.6 to explore the spatial distribution of stillbirth. For associated factors, a multilevel binary logistic regression model was fitted using STATA V.14 software. Variables with a p value of less than 0.2 were considered for the multivariable multilevel analysis. In the multivariable multilevel analysis, adjusted OR (AOR) with 95% CI was reported to reveal significantly associated factors of stillbirth.ResultsThe spatial analysis showed that stillbirth has significant spatial variation across the country. The SaTScan analysis identified significant primary clusters of stillbirth in the Northeast Somali region (log likelihood ratio (LLR)=13.4, p<0.001) and secondary clusters in the border area of Oromia and Amhara regions (LLR=8.8, p<0.05). In the multilevel analysis, rural residence (AOR=4.83, 95% CI 1.44 to 16.19), primary education (AOR=0.39, 95% CI 0.20 to 0.74), no antenatal care (ANC) visit (AOR=2.77, 95% CI 1.70 to 4.51), caesarean delivery (AOR=5.07, 95% CI 1.65 to 15.58), birth interval <24 months (AOR=1.95, 95% CI 1.20 to 3.10) and height <150 cm (AOR=2.73, 95% CI 1.45 to 4.97) were significantly associated with stillbirth.Conclusion and recommendationIn Ethiopia, stillbirth had significant spatial variations across the country. Residence, maternal stature, preceding birth interval, caesarean delivery, education and ANC visit were significantly associated with stillbirth. Therefore, public health interventions that enhance maternal healthcare service utilisation and maternal education in hotspot areas of stillbirth are crucial to reducing stillbirth in Ethiopia.

Project description:BackgroundHousehold surveys remain important sources of maternal and child health data, but until now, standard surveys such as Demographic and Health Surveys (DHS) have not collected information on maternity care for women who have experienced a stillbirth. Thus, nationally representative data are lacking to inform programmes to address the millions of stillbirths which occur annually.MethodsThe EN-INDEPTH population-based survey of women of reproductive age was undertaken in five Health and Demographic Surveillance System sites in Bangladesh, Ethiopia, Ghana, Guinea-Bissau and Uganda (2017-2018). All women answered a full birth history with additional questions on pregnancy losses (FBH+) or full pregnancy history (FPH). A sub-sample, including all women reporting a recent stillbirth or neonatal death, was asked additional maternity care questions. These were evaluated using descriptive measures. Associations between stillbirth and maternal socio-demographic characteristics, babies' characteristics and maternity care use were assessed using a weighted logistic regression model for women in the FBH+ group.ResultsA total of 15,591 women reporting a birth since 1 January 2012 answered maternity care questions. Completeness was very high (> 99%), with similar proportions of responses for both live and stillbirths. Amongst the 14,991 births in the FBH+ group, poorer wealth status, higher parity, large perceived baby size-at-birth, preterm or post-term birth, birth in a government hospital compared to other locations and vaginal birth were associated with increased risk of stillbirth after adjusting for potential confounding factors. Regarding association with reported postnatal care, women with a stillbirth were more likely to report hospital stays of > 1 day. However, women with a stillbirth were less likely to report having received a postnatal check compared to those with a live birth.ConclusionsWomen who had experienced stillbirth were able to respond to questions about pregnancy and birth, and we found no reason to omit questions to these women in household surveys. Our analysis identified several potentially modifiable factors associated with stillbirth, adding to the evidence-base for policy and action in low- and middle-income contexts. Including these questions in DHS-8 would lead to increased availability of population-level data to inform action to end preventable stillbirths.

Project description:ObjectivesTo assess the rate of stillbirth and associated risk factors across nine states in India.DesignSecondary analysis of cross-sectional data from the Indian Annual Health Survey (2010-2013).SettingNine states in India: Madhya Pradesh, Chhattisgarh, Rajasthan, Uttarakhand, Jharkhand, Odisha, Bihar, Assam and Uttar Pradesh.Participants886?505 women, aged 15-49 years.Main outcome measuresStillbirth rate with 95% CI. Adjusted OR to examine the associations between stillbirth and (1) socioeconomic, behavioural and biodemographic risk factors and (2) complications in pregnancy (anaemia, eclampsia, other hypertensive disorders, antepartum and intrapartum haemorrhage, obstructed labour, breech presentation, abnormal fetal position).ResultsThe overall rate of stillbirth was 10 per 1000 total births (95%?CI 9.8 to 10.3). Indicators of socioeconomic deprivation were strongly associated with an increase in stillbirth: rural residence (adjusted OR (aOR) 1.27, 95%?CI 1.16 to 1.39), female illiteracy (aOR 1.43, 95%?CI 1.17 to 1.74), low socioeconomic status (aOR 2.42, 95%?CI 1.82 to 3.21), schedule caste background (aOR 1.11, 95%?CI 1.04 to 1.19) and woman not in paid employment (aOR 1.15, 95%?CI 1.07 to 1.24). Women from minority religious groups were at higher risk than the Hindu majority (Muslim (aOR 1.33, 95%?CI 1.25 to 1.43); Christian (aOR 1.42, 95%?CI 1.19 to 1.70)). While a few women smoked (<1%), around 9% reported chewing tobacco, which was associated with an increased odds of stillbirth (aOR 1.11, 95%?CI 1.02 to 1.21). Adverse pregnancy and birth characteristics were also associated with stillbirth: antenatal care visits <4 (aOR 1.08, 95%?CI 1.01 to 1.15), maternal age <25 years (aOR 1.29, 95%?CI 1.21 to 1.37) and ?35 years (aOR 1.16, 95%?CI 1.04 to 1.29), multigravida (aOR 3.06, 95%?CI 2.42 to 3.86), multiple pregnancy (aOR 1.77, 95%?CI 1.47 to 2.15), assisted delivery (aOR 3.45, 95%?CI 3.02 to 3.93), caesarean section (aOR 1.73, 95%?CI 1.58 to 1.89), as were pregnancy complications (aOR 1.42, 95%?CI 1.33 to 1.51).ConclusionIndia is an emerging market economy experiencing a rapid health transition, yet these findings demonstrate the marked disparity in risk of stillbirth by women's socioeconomic status. Tobacco chewing and maternal and fetal complications were each found to be important modifiable risk factors. Targeting the 'at-risk' population identified here, improved recording of stillbirths and the introduction of local reviews would be important steps to reduce the high burden of stillbirths in India.

Project description:BackgroundStillbirth is an unfavorable outcome of pregnancy, which is still prevalent in many countries despite remarkable efforts made to improve the care of pregnant women. While producing estimates consistent with other national reports, all are hindered by limited data and important causes of death are likely to be missed. However; there is a scarcity of data on stillbirth in Ethiopia particularly in the Wolaita zone.ObjectiveTo assess the prevalence and associated factors of stillbirth among women giving birth at public hospitals in the Wolaita zone, southern Ethiopia.MethodsA facility-based cross-sectional study was conducted in public hospitals in the Wolaita zone. A stratified sampling technique was used to select 737 women. A pre-tested interviewer-administered questionnaire was used for data collection. Data were entered using Epidata version 3.1 and analyzed using SPSS version 20. Bivariate and multiple logistic regression analysis were used and the crude and adjusted odds ratios at a 95% confidence interval with P-value <0.05 were considered to declare the result as statistically significant.ResultThis study reported an 8.7% [95% CI: 6.5-10.8] prevalence of stillbirth. Women who lived in rural areas, had pregnancy and labor complications, a high number of pregnancies, a prior history of stillbirth, and a complicated delivery were associated with stillbirth. When compared to urban residents, being a rural resident increased the risk of stillbirth by 2.57 fold [adjusted OR = 2.57, 95% CI: 1.23, 5.40]. When compared to their counterparts, women who experienced complications during pregnancy and labor increased 6.23 fold [AOR = 6.23, 95% CI: 2.67-14.58], having a previous history of stillbirth increased 6.89 fold [AOR = 6.89, 95% CI: 2.57-13.57], and the type of delivery increased 7.13 fold the risk of stillbirth [AOR = 7.13, 95% CI: 2.71-18.73].Conclusion and recommendationThe prevalence of stillbirth among women who gave birth in public hospitals in the Wolaita zone was found to be high compared to national and regional figures. Therefore, the federal and regional governments should strengthen inter-sectoral collaboration with health facilities to promote the maternal and health care services utilization. The zonal health department and other concerned bodies should focus on the implementation of the strategies and policies that address and reduce the causes of stillbirth.

Dataset Information

Factors associated with stillbirth in women with diabetes.

Aims/hypothesis

Methods

Results

Conclusions/interpretation

Publications

Factors associated with stillbirth in women with diabetes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets