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

2020 ◽  
Vol 11 (SPL4) ◽  
pp. 1244-1250
Author(s):  
Nasser Hadal Alotaibi ◽  
Abdulaziz I. Alzarea ◽  
Ahmed Hassan ◽  
Mohammed Gamal ◽  
Shakeel Iqubal S M ◽  
...  
Keyword(s):  
Saudi Arabia ◽  
Birth Weight ◽  
Mortality Rate ◽  
Low Birth Weight ◽  
Perinatal Mortality ◽  
Perinatal Death ◽  
Respiratory Arrest ◽  
Perinatal Mortality Rate ◽  
Tertiary Hospitals ◽  
Preconception Counselling

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.

Analysis of selected perinatological indicators in the Slovak Republic in the years 2007–2018

2021 ◽  
Vol 86 (2) ◽  
pp. 102-109
Author(s):  
Miroslav Korbeľ ◽  
◽  
Pavel Kaščák ◽  
zuzana Nižňanská
Keyword(s):  
Birth Weight ◽  
Mortality Rate ◽  
Low Birth Weight ◽  
Perinatal Mortality ◽  
Total Fertility Rate ◽  
Very Low Birth Weight ◽  
Slovak Republic ◽  
In Utero ◽  
Fertility Rate ◽  
Live Births

Overview Objective: Analysis of perinatal mortality in the Slovak Republic during the years 2007–2018. Methods: Analysis of prospectively collected selected perinatal data in the years 2007–2018. Results: In the year 2007, there were 63 obstetrics units, 51,146 deliveries and that of live births 51,650 in the Slovak Republic. The number of obstetrics units decreased to 51 in the years 2018, the total number of deliveries increased to 57,085 and that of live births increased to 57,773. The total fertility rate in the years 2007–2018 increased from 1.27 to 1.54. The preterm deliveries rate increased from 7.3% in the year 2007 to 8.5% in the year 2010 and decreased to 7% in the year 2018. The perinatal mortality rate decreased from 6.2 in the year 2007 to 4.4 in the year 2017, increased again in the years 2018 to 5.0 and according to the criteria of WHO (World Health Organization) to 6.6 per 1,000 still- and live-births. During the years 2007–2018 at perinatal mortality stillbirth participate with 65%, low birth weight with 63% and severe congenital anomalies with 19%. Transport in utero to perinatological centers in the years 2007–2018 has decreased from 57 to 56% for infants 1,000–1,499 g and from 75 to 73% for infants below 1,000 g. Conclusion: In the year 2017, perinatology in the Slovak Republic reached the best result in the perinatal mortality rate – 4.4‰ (0.44%), but has increased to over 5‰ next year. To further reduce perinatal mortality in the Slovak Republic, it is necessary to improve the prenatal dia­gnosis of severe congenital abnormalities, transport in utero of very low birth weight fetuses, centralization of high-risk pregnancies, obstetric personnel and material-technical equipment of obstetricians and neonatal intensive care units. Keywords: perinatal mortality – preterm delivery – multiple pregnancy – low birth weight – very low birth weight – total fertility rate

scholarly journals KEMATIAN PERINATAL DI BLU RSU PROF. DR. R. D. KANDOU MANADO

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Mercy Tumundo ◽  
Hermie Tendean ◽  
Eddy Suparman
Keyword(s):  
Mortality Rate ◽  
Perinatal Mortality ◽  
Perinatal Death ◽  
Developed Countries ◽  
Perinatal Deaths ◽  
Neonatal Deaths ◽  
Normal Birth ◽  
Perinatal Mortality Rate ◽  
Still Births ◽  
Early Neonatal Deaths

Abstract: Perinatal death is a big problem especially in a developing country. Some of the hospitals in Indonesia have declared that the number of perinatal death in developing countries is higher than in  developed countries. The purpose of this research is to determine the incidence of the factors that affecting perinatal mortality at Prof. DR. R. D. Kandou General Hospital Manado. This research used retrospective descriptive method through medical records of perinatal deaths patients. There were 164 cases of perinatal deaths found where 109 cases still births and 55 cases were early neonatal deaths in 2011, so the number of perinatal mortality rate was 40.17 per mil. The highest number of perinatal death was from multigravide mother, mother with age  ≥ 35 years old, spontaneous parturition. There were unknown caused of still births cases (77,06%) and sepsis in early neonatal deaths. The normal birth weight is also with most include of perinatal deaths. Keywords: still birth, early neonatal death, perinatal deaths, perinatal mortality rate.     Abstrak: Kematian perinatal merupakan masalah besar khususnya di negara sedang berkembang. Beberapa rumah sakit pendidikan di Indonesia melaporkan angka kematian perinatal yang tinggi dibandingkan dengan laporan angka kematian perinatal di negara – negara maju yang jumlahnya rendah. Tujuan penelitian untuk mengetahui angka kejadian kematian perinatal serta faktor – faktor yang mempengaruhinya. Penelitian ini menggunakan metode deskriptif retrospektif dengan menggunakan data catatan medik pasien. Hasil penelitian yaitu jumlah kematian perinatal pada tahun 2011 sebanyak 164 kasus dengan 109 kasus lahir mati dan 55 kasus kematian neonatal dini sehingga angka kematian perinatal pada tahun 2011 yaitu 40.17 per mil. Kematian perinatal paling banyak pada ibu multigravida, ibu dengan kelompok usia ≥ 35 tahun, menggunakan jenis persalinan spontan. Pada lahir mati 77.06 % penyebab kematiannya tidak diketahui sedangkan sepsis paling banyak menyebabkan kematian neonatal dini. Berat badan lahir normal juga menjadi salah satu faktor terjadinya kematian perinatal. Kata kunci: lahir mati, kematian neonatal dini, kematian perinatal, angka kematian perinatal.

scholarly journals Determinants of Perinatal Mortality in Tercha General Hospital, Southern Ethiopia; Facility Based Case Control Study.

2019 ◽  
Author(s):  
Firehiwot Tebeje ◽  
Animut Addis ◽  
Muktar Basher ◽  
Chernet Hialu
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
General Hospital ◽  
Perinatal Mortality ◽  
Case Control Study ◽  
Perinatal Death ◽  
Case Control ◽  
Southern Ethiopia ◽  
Prolonged Labour ◽  
Control Study

Abstract Background: Ethiopia meets the target millennium development goal 4 on child survival three years ahead of time. However, there were high perinatal deaths in the country and the reduction was not impressive. Identifying determinants and implement evidence based interventions is crucial to reduce perinatal death. However, there were no clear evidences on determinants of perinatal mortality in Tercha General Hospital.Objective: To assess determinants of perinatal mortality in Tercha general hospital, Southern Ethiopia, January 1, 2014 and December 30, 2017.Method: An unmatched case control study using secondary data as a source of information was conducted in Tercha general hospital. Cases were stillbirths and early neonatal deaths. Controls were those newborns live till 7th days. Randomly selected 366 (183 cases and 183 controls) study subjects were constituted for this study. The data were collected from March 1-20/2018. Epi-Data version 3.1 and SPSS Version 23 were used for data entry and analysis, respectively. Descriptive statistics were used to describe the study population in relation to study variables. Logistic regressions were employed to identify determinants of perinatal death.Results: In multivariable logistic analysis, rural in residence of the mother [AOR=1.82; 95%CI:(1.04-3.19)], ANC booking [AOR=0.47; 95%CI:(0.27,0.83)], prolonged labour [AOR=2.75; 95%CI: (1.58-4.78)], low birth weight [AOR=1.78; 95%CI (1.06-2.97)], presence of obstetrics complication [AOR=2.15; 95%CI: (1.28-3.62)], using partograph [AOR=0.5; 95%CI: 0.25-0.9]. Using safe child birth checklist [AOR=0.52; 95%CI: 0.30-0.91], and coming with referral [(AOR=2.69; 95% CI: (1.51-4.8)] were significantly associated with perinatal mortality. Conclusion and Recommendation: Being rural in residence, coming with referral, low birth weight, prolonged labour and presence of obstetric complication were associated with elevated the risk of perinatal mortality, and antenatal care booking, using partograph and using safe childbirthchecklist were associated with reduced risk of perinatal mortality. We therefore, recommend strengthening maternal health and newborn care servicesby taking into account these factors to reduce perinatal death.

LOW BIRTH WEIGHT AND PRENATAL NUTRITION: AN INTERPRETATIVE REVIEW

PEDIATRICS ◽  
1970 ◽  
Vol 46 (6) ◽  
pp. 946-966
Author(s):  
Lawrence Bergner ◽  
Mervyn W. Susser
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Perinatal Mortality ◽  
Observational Studies ◽  
Maternal Nutrition ◽  
Perinatal Death ◽  
Experimental Studies ◽  
Retarded Child ◽  
Prenatal Nutrition ◽  
In Pregnancy

Birth weight is considered as a possible crucial intervening variable in a causal sequence that leads from prenatal nutrition to perinatal mortality and retarded child development. Birth weight is shown to have a stronger correlation with perinatal mortality than length of gestation. In New York City, if black infants had the same birth weight distribution as white infants, and the same weight-specific perinatal death rates as they now do, their expected overall perinatal death rate would be the same as for white infants. Three conclusions are germane to the prevention of low birth weight: first, the fetal growth that leads to important variation in birthweight occurs in the last trimester; second, birth weight is influenced by factors in the wider environment as well as in the maternal environment; and third, birth weight is influenced by factors having their origin and effect during gestation. The role of maternal nutrition during gestation is then examined as a factor in birth weight. Observational studies of circumstances of wartime deprivation support a nutritional hypothesis, but observational studies of everyday diets in pregnancy, and quasi-experimental studies that supplement nutrition in pregnancy, have given equivocal results. The hypothesis requires fresh testing. An experimental approach can eliminate or control many extraneous and confounding variables.

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

2020 ◽  
Vol 48 (2) ◽  
pp. 162-167
Author(s):  
Carla Beatriz Pimentel Cesar Hoffmann ◽  
Lidiane Ferreira Schultz ◽  
Carla Gisele Vaichulonis ◽  
Iramar Baptistella do Nascimento ◽  
Caroline Gadotti João ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Perinatal Mortality ◽  
Perinatal Death ◽  
Maternity Hospital ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Perinatal Mortality Rate ◽  
Avoidable Death ◽  
International Statistical Classification ◽  
Epidemiological Profile

AbstractBackgroundThis 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.

scholarly journals Status of Perinatal Mortality in Karnali Academy of Health Sciences, Jumla Nepal

2019 ◽  
Vol 2 (2) ◽  
pp. 120-125
Author(s):  
Namrata Sindan ◽  
Sandeep Shrestha ◽  
Bishnu Dutta Acharya ◽  
Purnima Rai ◽  
Nirajana Kayastha ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Perinatal Mortality ◽  
Neonatal Sepsis ◽  
Neonatal Death ◽  
Perinatal Death ◽  
Birth Asphyxia ◽  
Health Sciences ◽  
Early Neonatal Death ◽  
Perinatal Mortality Rate

Introduction:  Perinatal mortality rate is sensitive indicator of quality of obstetric and pediatric health services. It also helps us to evaluate efficiency of health care provided by a particular hospital. The aim of this study was to evaluate the cause of perinatal death in a tertiary care medical centre, which may help to reduce the incidence of perinatal death and improve the quality of care. Methods: The two-year retrospective study of perinatal deaths was done at Karnali Academy of Health Sciences (KAHS), Jumla from March 2017 to April 2019. Data was collected from monthly perinatal audit and annual mortality reviews. Registers in the maternity ward, sick Neonate Care Unit, and files of dead newborns kept in the record section of the hospital were studied and reviewed. Results: A total of 1354 deliveries were conducted in the 24 months period at KAHS with perinatal mortality rate of 36.08 per 1000 total birth and early neonatal death rate of 12.8 per 1000 live birth. The Perinatal mortality was higher in low birth weight and premature baby. The cause of stillbirth and early Neonatal death were identified. Most of the early neonatal death was due to Prematurity (41.17%) followed by Birth Asphyxia and Neonatal Sepsis. Conclusion: Prematurity and its related complication were the most common cause of early neonatal death followed by birth Asphyxia and Neonatal Sepsis. There is need to improve antenatal, early identification of high-risk pregnancy as well as Neonatal Intensive Care Unit (NICU) to further reduce deaths due to prematurity and birth asphyxia.

scholarly journals Perinatal Mortality Review in a Tertiary Care Hospital: Way Forward to Address SDG Health Goal 3

2019 ◽  
Vol 18 (1) ◽  
pp. 69-74
Author(s):  
Manisha Bajracharya ◽  
Ang Tshering Sherpa ◽  
Ajay Dhakal ◽  
Sunita Bhandari ◽  
Heera Tuladhar ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Perinatal Mortality ◽  
Congenital Anomalies ◽  
Perinatal Death ◽  
Tertiary Care ◽  
Well Being ◽  
Hypertensive Disorder ◽  
Care Hospital ◽  
Perinatal Deaths ◽  
Perinatal Mortality Rate

Introduction: Sustainable development goal 3 targets at ensuring healthy lives and promoting well-being for all at all ages. One of the component for achievement of this goal is improvement of maternal and child health; the indicators of which is perinatal mortality rate. The aim of this study was to evaluate the cause of perinatal death in a tertiary care medical centre, which may help to reduce the incidence of perinatal death and improve the quality of care. Methods: A prospective study was done over a period of one year from April 2016 to March 2017. Causes of perinatal deaths based on PSANZ classification were recorded along with patients demographics and also avoidable factors were evaluated. Results: Out of total 1275 deliveries, there were 21 perinatal deaths including three intrauterine foetal deaths, one still birth and seven early neonatal deaths. The perinatal mortality rate was 16.27 per 1000 birth. Majority of perinatal deaths (19%) occurred due to congenital anomalies followed by (14%) hypertensive disorder in pregnancy, intrapartum hypoxia (14%), unexplained causes (14%), 9.5% cord prolapse, antepartum haemorrhage (9.5%), 5% due to intrauterine growth restriction, gestational diabetes mellitus or preterm labour. Most of the mothers whose baby had perinatal deaths had ANC outside. Most of the deaths occurred in between gestational age of 37 to 41 weeks. Perinatal mortality was more in multigravida. Delay to seek health care and inadequate antenatal checkups were the most common avoidable factors. Conclusions: Congenital anomalies and hypertensive disorders during pregnancy were the most common causes of perinatal death. Delay in health seeking behaviour was the most common avoidable factors for perinatal death. We recommend early identification of high risk pregnancy through proper antenatal screening, educating pregnant women to identify danger signs of pregnancy, creating public awareness about importance of antenatal checkups, vigilant labour monitoring for foetal distress, to reduce some categories of deaths.  

Perinatal Mortality in Twins, Australia, 1973-1980: II. Maternal Age, Lethal Congenital Malformations and Sex

1988 ◽  
Vol 37 (3-4) ◽  
pp. 321-329 ◽  
Author(s):  
John D.H. Doherty
Keyword(s):  
Birth Weight ◽  
Mortality Rate ◽  
Sex Ratio ◽  
Perinatal Mortality ◽  
Congenital Malformations ◽  
Maternal Age ◽  
Teenage Mothers ◽  
Neonatal Deaths ◽  
Perinatal Mortality Rate

AbstractThe influence of maternal age and congenital malformations on perinatal mortality in twins in Australia from 1973 to 1980, is described. Stillbirths and neonatal deaths in twins fell with advancing maternal age. For teenage mothers, the twin perinatal mortality rate was 127.15/1,000. The sex ratio in twins is closer to unity than in singletons. Perinatal mortality due to malformation fell as maternal age increased up to 35 years. The role of zygosity and the distribution of birth weight with maternal age are discussed.

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