Perinatal mortality risk factors (Cuban perinatal survey. 1973).
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The secular trend of perinatal mortality in Utrecht between 1880 and 1940 and its causes are examined in this study, based on patient records of two maternity clinics, those of the city's academic hospital, and of its outpatient clinic. The sample includes 17,111 deliveries. Over the period the proportion of births in the city occurring in the two institutions rose from 3 to 90%. The perinatal mortality rate in the hospital declined and then rose slightly at the end of the 19th century, but remained constant, even if cyclical, thereafter in both the hospital and the outpatient clinic. Rates differed substantially between the two maternity services. Logistic regression analysis reveals a cluster of factors related to perinatal death. Low birth weight had a powerful association with perinatal mortality in both samples. Most of the other factors associated with perinatal mortality were related to the health of the patients, to obstetric problems related to deliveries, and to infant sex and maternal age. Relationships between perinatal mortality and other measures of human welfare in The Netherlands are explored.
Perinatal mortality in sibships has been examined using the Medical Birth Registry of Norway. Using linear logistic regression, parity specific perinatal mortality in the period 1967-1981 has been analysed, controlling simultaneously for maternal age, year of birth and survival of earlier births. The risk of a perinatal loss was increased by a factor of up to 6.0 following one earlier perinatal loss, and with three earlier losses the increase was 17.0. The general reduction in mortality between the different five year periods varied according to parity and maternal age. No secular reduction in risk, however, was demonstrated in sibships where the first birth died perinatally; for some subgroups of women the risk actually increased between the first and the second five year period. The effect of maternal age changed with parity, being strong in the first birth order, but of no effect either for the third or the fourth birth orders once the perinatal survival of earlier births was controlled for. This study shows the need to take heterogeneity of risk between women into account in studies of perinatal loss; the overall improvement in perinatal mortality does not apply to every woman. As care improves, perinatal losses become less and less random, demonstrated by increased risks of recurrence.
OBJECTIVE: To examine whether the perinatal mortality of infants born during holidays differs from that of infants born on workdays, and to elucidate its cause. DESIGN: Cross-sectional study. Setting Vital statistics linked to the National Infant Mortality Survey data for 1999 births in Korea. POPULATION: In all, 628 485 births in 1999 in Korea. METHODS: Number of births and perinatal mortality were classified according to the day of the week using the occurrence index. After adjusting for confounding factors, the odds ratios (ORs) for increased holiday mortality were estimated using logistic regression. MAIN OUTCOME MEASURE: Birthweight-adjusted perinatal mortality. RESULTS: Births on holidays were 33% fewer and perinatal deaths 24% higher than expected (PMR, Perinatal Mortality Rate, 16.4 versus 12.8; OR, 1.3; 95% CI, 1.2-1.4). After the adjustment of birthweight, gender, plurality and congenital anomalies, the odds ratio for death of infants born during holidays was 1.2 (95% CI, 1.1-1.3). CONCLUSIONS: The higher perinatal mortality during holidays in Korea appears to be due to different qualities of perinatal care, rather than difference in case-mix.
OBJECTIVE: To estimate perinatal mortality through record linkage of Health Workers (HW) and Anganwadi Workers (AWW) in rural Haryana. DESIGN: Retrospective analysis of records (1991-92) of HW and AWW. Enquiry and home visits were made for tracing the fate of pregnancy in cases with incomplete records. SETTING: In 1993-95 in 45 villages selected purposively in Raipur Rani block, Ambala. MAIN OUTCOME MEASURE: Enlisting of perinatal deaths as the main outcome measure through scrutiny of records of HW and AWW. RESULTS: Perinatal mortality rate (PMR) was 42.25 and 45.78 per thousand births as per the record of HW and AWW, respectively for the 23 villages for whom records of both were available. Support by enquiry or home visit yielded a PMR of 59.42 for combined HW and AWW sources and 51.66 per 1000 births for AWW source alone. Concordance between AWW and HW records for fate of pregnancy was moderate (K = 0.46; 95% CI 0.35-0.57). CONCLUSIONS: There is a lack of a system of record linkage between and within the records of HW and AWW at primary health care level. AWW data was more accurate and up-to-date as compared to HW. Reasonably accurate estimates of perinatal mortality rate can be made through record linkage.
We wished to determine whether gestational diabetes was associated with an increased perinatal mortality rate, and to investigate the cause for the observed increase in the incidence of gestational diabetes. We therefore reviewed the results of glucose tolerance tests and pregnancy outcome in 116,303 pregnancies, 1971-1994, at the Mercy Hospital for Women. The main outcome measurements were the presence or absence of gestational diabetes, and perinatal mortality. Over the entire period of the study, gestational diabetes was associated with an increased risk of perinatal mortality (Mantel-Haenszel adjusted odds ratio 1.53, 95% CI 1.13-2.06, p = 0.0069). Women with gestational diabetes that was only diagnosed retrospectively had a higher perinatal mortality rate than their contemporaries with normal glucose tolerance (OR 2.31, 95% CI 1.37-3.91, p = 0.0025). Women in whom a glucose tolerance test was not performed continued to have a higher perinatal mortality rate than women who were tested (adjusted OR 2.21, 95% CI 1.56-3.12, p < 0.00001). There has been an increase in the prevalence of gestational diabetes from 2.9% to 8.8%. Some of this is due to changes in population characteristics (increases in maternal age, obesity and proportion from South-East Asia), but there was still an independent increase over time. We conclude that identification and treatment of women with gestational diabetes can reduce perinatal mortality rates. Similarly to diabetes mellitus in the total population, the prevalence of gestational diabetes has increased over time.
The aim of this paper is to establish the exact incidence of risk in delivery as related to perinatal mortality rate. The entire 1976 Italian population was statistically sampled (latest data available), specifically enucleating the sanitary data reported in 1976 by ISTAT (National Institute of Statistics) for the various regions of Italy. Furthermore, the importance of preventive Medicine in reducing the rate of perinatal mortality is discussed. Our results showed that 29.2%, of total perinatal mortalities is connected to delivery. Yet in Southern Italy and on the islands (geographical districts with the highest perinatal mortality date reported) perinatal mortality was not principally due to delivery, showing that delivery is only one aspect of the complex problem of perinatal mortality, which is thus obviously not dependent on socio-economical and territorial factors. As other studies (I p. 131) report that the types of delivery procedures adoperated during that period (1976) were relatively homogeneous throughout Italy, we may conclude that the high perinatal mortality rate in Southern Italy is due to pathology regarding the pregnancy and not to the risk in delivery itself. (This is probably true even for other countries). For example, toxemia could very likely be one of the main causes. Therefore, the real incidence of toxemia together with the actual way of monitoring labor, etc. should be re-evaluated and considered in relation to the whole perinatal mortality. With this study, we obtained the following conclusions. Thus, from the point of view of preventive perinatal medicine, it could be more efficient to apply public health preventive actions during pregnancy than monitoring during labor.
OBJECTIVES: To identify and quantify risk factors for perinatal mortality in a Kenyan district hospital and to assess the proportion of perinatal deaths attributable to labour complications, maternal undernutrition, malaria, anaemia and human immunodeficiency virus (HIV). METHODS: A cross-sectional study of 910 births was conducted between January 1996 and July 1997 and risk factors for perinatal mortality were analysed. FINDINGS: The perinatal mortality rate was 118 per 1000 births. Complications of labour such as haemorrhage, premature rupture of membranes/premature labour, and obstructed labour/ malpresentation increased the risk of death between 8- and 62-fold, and 53% of all perinatal deaths were attributable to labour complications. Placental malaria and maternal HIV, on the other hand, were not associated with perinatal mortality. CONCLUSIONS: Greater attention needs to be given to the quality of obstetric care provided in the rural district-hospital setting.
The Jamaican Perinatal Mortality Survey was designed to identify the true perinatal mortality rate, and assess the factors which could contribute towards a reduction in perinatal mortality on the island. All births in a 2-month period (n = 10527) were compared with all perinatal deaths occurring over a 12-month period (n = 2069). Over half the deaths (n = 1058) received a detailed post-mortem examination. Use of the Wigglesworth classification identifies the major component of perinatal death in this country to be associated with intrapartum asphyxia (44% of deaths). Deaths due to congenital malformations and miscellaneous causes contribute relatively little (< 10%) to the overall mortality rate. Over a quarter of deaths apparently occur before the onset of labour, and a fifth are prematurely liveborn but die of causes related to immaturity.
OBJECTIVES: To determine levels and risk factors for perinatal mortality in Central Sudan. METHODS: Hospital and community based studies were conducted during the period 1989-1990. Of 5328 births registered in the hospital, 197 stillborns and 812 live-born infants were included in a nested case-control study. In the community, a follow-up study was conducted on 1592 midwife-assisted home deliveries. Multivariate logistic regression analysis was used to identify predictors of perinatal mortality and adjusted population attributable risks were estimated to assess the contribution of each factor. RESULTS: The perinatal mortality rate was 85.4/1000 births in the hospital population and 29.4/1000 births in the community population. The major risk factors for perinatal mortality in the hospital and the community studies were similar and modifiable. CONCLUSIONS: To lower perinatal mortality, improvements in maternal nutrition, malaria treatment and control, avoidance of agricultural pesticides during pregnancy, and adequate antenatal and intrapartum care are recommended.
The trend of perinatal mortality in Chile is analyzed for the period from 1956 to 1986, showing changes in late fetal mortality according to age of the mother, parity, and weight of the newborn. Overall perinatal mortality, including both late fetal and early neonatal mortality categories, followed a general downward trend. The decrease was not steady, however, and the rate was not the same for both categories. Between 1956 and 1967 the annual decline in perinatal mortality was 0.6%, while from 1967 to 1975 it was 3.3%, and from 1975 to 1984, it was 6.7%. For the last two years of the study the rate was stable. The decrease observed coincides with the importance that has been given to perinatology as a specialty, and to the establishment of numerous perinatal care centers throughout the country. Nevertheless, new approaches are needed for the prevention of teenage pregnancy and for the reduction of premature births.
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