The magnitude of perinatal mortality rate and associated risk factors among deliveries at Dilla University Referral Hospital, Southern Ethiopia: A case-control study

The perinatal mortality rate is the sum of stillbirths and early neonatal deaths divided by the number of pregnancies of seven or more months’ duration. In Ethiopia, the death rate was 33 deaths/1000 total births in 2016. We aimed to identify the perinatal mortality rate and associated risk factors among deliveries in Dilla University Referral Hospital; January, 2016 - December, 2018. A hospital based retrospective case-control study was conducted using subgroup binary logistic regression analysis including 138 cases and 296 control group. The proportion of hospital perinatal deaths was 30% with 90% of the deaths were occurred as a result of stillbirths and antepartum hemorrhage. Adjusted odds ratios revealed that history of still birth, very low birth weight, short interval and nonuse of partograph found to be independent predictors of both stillbirths and early neonatal deaths besides to pregnancy induced hypertension and antepartum hemorrhage. The risk of perinatal mortality may be increased by not treating chronic illnesses, obstetrics complications and risk factors causing low birth weight as well as short birth intervals and not using partograph during labour.

The Effect of “Off Hours” on Maternal and Perinatal Outcomes in a Diverse U.S. Cohort

Objective This study aimed to evaluate the “off-hour effect” on maternal and neonatal adverse events in a large cohort representing U.S. population. Study Design A secondary analysis of the Consortium on Safe Labor (CSL) dataset with 208,695 women and 229,385 deliveries was performed. The study included the deliveries of ≥23 gestational weeks from 19 hospitals in the United States from 2002 to 2008. Babies with congenital anomalies were excluded from neonatal outcomes. We compared maternal and neonatal outcomes of patients delivered during weekdays versus off hours (nights and weekends). The primary outcomes of the study were composite maternal and composite neonatal adverse events. The secondary outcomes were delivery type and individual maternal and neonatal adverse events including maternal death and perinatal mortality rate. Associations between off hours and all the outcomes were analyzed in bivariable and multivariable analyses. The same analyses were performed in strata by indication for admission (spontaneous labor or induction of labor). Results Composite maternal adverse events (6.19 vs. 6.06%, p = 0.41) and maternal death (0.01 vs. 0.01%, p = 0.19) were not significantly different between off hours and weekday groups. In contrast, composite neonatal adverse events (6.91 vs. 5.84%, p < 0.001) and perinatal mortality rate (1.03 vs. 0.77%, p < 0.001) were higher in the off-hour group. After adjusting for confounding variables, only the composite neonatal outcome continued to be associated with off hours (adjusted odds ratio [aOR] = 1.10, 95% confidence interval [CI]: 1.04–1.16). Stratified analyses showed that the off-hour effect for the neonatal composite outcome was not present in those presenting in spontaneous labor (6.1 vs. 5.9%, p = 0.40). Conclusion Off-hour delivery was not associated with severe maternal morbidity and was only modestly associated with severe neonatal morbidity. This association was observed in women undergoing induction, not in those presenting in spontaneous labor. These data draw into question the existence of a clinically meaningful and correctable “off-hour effect” in obstetrics. Key Points

Perinatal Mortality Analysis in Espírito Santo, Brazil, 2008 to 2017

This is an ecological and time-series study using secondary data on perinatal mortality and its components from 2008 to 2017 in Espírito Santo, Brazil. The data were collected from the Mortality Information System (SIM) and Live Births Information System (SINASC) of the Unified Health System Informatics Department (DATASUS) in June 2019. The perinatal mortality rate (×1000 total births) was calculated. Time series were constructed from the perinatal mortality rate for the regions and Espírito Santo. To analyze the trend, the Prais–Winsten model was used. From 2008 to 2017 there were 8132 perinatal deaths (4939 fetal and 3193 early neonatal) out of a total of 542,802 births, a perinatal mortality rate of 15.0/1000 total births. The fetal/early neonatal ratio was 1.5:1, with a strong positive correlation early neonatal mortality rate, perinatal mortality rate, r (9) = 0.8893, with a significance level of p = 0.000574. The presence of differences in trends by health region was observed. Risk factors that stood out were as follows: mother’s age ranging between 10 and 19 or 40 and 49 years old, with no education, a gestational age between 22 and 36 weeks, triple and double pregnancy, and a birth weight below 2499 g. Among the causes of death, 49.70% of deaths were concentrated in category of the tenth edition of the International Classification of Diseases, fetuses and newborns affected by maternal factors and complications of pregnancy, labor, and delivery (P00–P04), and 11.03% were in the category of intrauterine hypoxia and birth asphyxia (P20–P21), both related to proper care during pregnancy and childbirth. We observed a slow reduction in the perinatal mortality rate in the state of Espírito Santo from 2008 to 2017.

An Analysis of Causes and Avoidable Factors of Perinatal Deaths at Tertiary Care Hospital

Introduction: Perinatal deaths are potentially preventable and reflect the quality of care provided in the prenatal period, during labor, and to a newborn. The purpose of this study was to assess the causes and avoidable factors contributing to perinatal deaths in the year 2018-19 and compare these with the previous two years at Tertiary Care Hospital.Materials and Methods: This study was conducted from a retrospective analysis of all stillbirths and early neonatal deaths in the year July 2018 to July 2019. The Perinatal Mortality Rate, causes, and avoidable factors leading to perinatal deaths were analysed during this year and were compared with that of the previous two years at KIST Medical College and Teaching hospital.Results: PMR was 16.09 per 1000 births in the year 2018-19. Previous two studies at this hospital in the year 2017-18 and 2016-17 showed a Perinatal Mortality Rate of 14.61 and 16.27/1000 births respectively. The commonest primary cause of perinatal deaths was intrapartum hypoxia 6 (30%), preterm delivery 5 (31.25%), and congenital anomalies4 (19%) during the year 2018-19, 2017-18, and 2016-17 respectively. The most common avoidable factors identified were a maternal delay to seek health care, inadequate antenatal checkups, and inadequate antenatal counseling of danger signs by a service provider over the last three years.Conclusions: Maternal delay to seek health care and lack of maternal knowledge of danger signs during pregnancy were the common avoidable factors identified. More efforts should be made to raise awareness of pregnant women during antenatal care visits regarding early healthcare-seeking behavior when needed.

Analysis of The Fairness of Child Health Services In China 2010-2019

Background: The imbalance of child health services caused by the huge income gap between urban and rural residents and uncoordinated regional development has become increasingly prominent. This article analyzes the basic situation and equity of child care services in China from 2010 to 2019.Methods: Evaluate the equity of child health services by concentration index.Results: From 2010 to 2019, neonatal visit rate and system management rate of under-three children in Chinese child health service projects showed an upward trend, and the perinatal mortality rate decreased. The perinatal mortality rate is the highest in the western region, and the level of child health services in the central region is lower than the national average, but the gap between regions has gradually decreased. Child health services concentrate in provinces with high economic levels, and the perinatal mortality rate is the most unfair. Conclusion: The decline in the mortality rate of under-five children is related to the improvement in the child health services. We should improve the health services of perinatal infants and pay attention to the health of children aged 1 to 4 years. The fairness of child health service is affected by the two-child policy. We should rationally allocate resources and strengthen support for the central and western regions.

Trends and Determinants of Perinatal Mortality in a Tertiary Care Hospital of Nepal

Introduction: Perinatal mortality rate (PMR) in Nepal is still very high. In major hospitals of Nepal, it is still ranging from 20 to 30 per thousand births. This study was carried out to review the different aspects of PMR and classifying them and identify the causes of perinatal and neonatal deaths and assessing the need for improvement in quality of pregnancy and newborn care. Methods: It was a retrospective study carried out in Bharatpur Hospital, Chitawan, Nepal. Data of all stillbirths from 22 weeks of pregnancy and neonatal deaths up to seven days of life was taken from monthly perinatal audit and annual mortality review. The data was taken from July 2017 to Jun 2019. All the perinatal deaths were then classified. Results: Over a two year period, there were total 25,977 births and total death was 369. Thus perinatal mortality rate was 12.3 per thousand births. Still births (fresh and macerated) contributed almost 82.4% of the perinatal deaths and neonatal death contributed 17.6% of total deaths. Deaths related to unexplained intrauterine fetal death (IUFD) showed an increasing trend and have increased by more than 20% in past two years from 39.1% to 60.8%. Deaths due to perinatal asphyxia, neonatal sepsis, respiratory distress syndrome and extreme prematurity were increased. Conclusions: PMR over the two years has shown increasing trend at our institute. There is need to improve antenatal, obstetric as well as intra-partum services to further reduce the still birth as well as deaths due to prematurity, RDS, neonatal sepsis and perinatal asphyxia.

Investigation of Regional Perinatal Mortality Rate and Causes in Jeddah, Saudi Arabia

The primary purpose of this study is to recognize the perinatal mortality rate and the vital causes of perinatal mortality to ascertain the significant maternal elements for a safe birth. A retrospective study was carried out in three large tertiary hospitals in Jeddah, Saudi Arabia, in the period from January 1, 2010, through December 31, 2015. All perinatal deaths happening during that time were analyzed. During the six-year review period, a total of 280 infant deaths were recorded with a perinatal mortality rate (PMR) of 6.6 per 1000 births. The principal causes of death among the deceased were low birth weight (LBW) (87%), lethal congenital malformation (CM) (4%), sepsis (3%), and respiratory arrest (3%). The PMR was high in 2010 at 6.8, while it declined to 6.4 at the end of the period studied. The average PMR recorded in this study was 6.6 per 1000 births. This study showed that low birth weight is the main reason for prenatal mortality, although the PMR did decline by the end of the period. A decrease in the perinatal death rate is viable when all females start to attend preconception counselling and are present at antenatal health centres.

Perinatal mortality: epidemiological profile, causes and avoidable factors at a reference public maternity hospital in the State of Santa Catarina, Brazil, 2011–2015

BackgroundThis study aimed to identify the perinatal mortality coefficient, the epidemiological profile, causes and avoidable factors at a reference public maternity hospital in southern Brazil.MethodsIn this cross-sectional study, 334 medical records of postpartum women and newborns were evaluated between January 1st, 2011 and December 31st, 2015. The Expanded Wigglesworth Classification was used to assess the causes of perinatal mortality and the International Statistical Classification of Diseases and Related Health Problems (ICD-10/SEADE Foundation) was used for the preventable perinatal mortality analysis. Absolute numbers and percentages were used for data analysis. The perinatal mortality formula was used to calculate the perinatal mortality rate.ResultsThe perinatal mortality rate was 13.2/1000 total births, with a predominance of white race/color; mothers were 21–30 years of age, had experienced their first pregnancy and had completed their high school education.ConclusionThe main factors associated with perinatal death were antepartum fetal death in 182 (54.49%) cases, and avoidable death through appropriate prenatal care in 234 (70.05%) cases.