Perinatal mortality rate in relation to gender.
Autor: | Sami S; Department of Obstetrics & Gynaecology, Bolan Medical Complex Hospital, Quetta. drssqta@yahoo.com, Baloch SN |
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Jazyk: | angličtina |
Zdroj: | Journal of the College of Physicians and Surgeons--Pakistan : JCPSP [J Coll Physicians Surg Pak] 2004 Sep; Vol. 14 (9), pp. 545-8. |
DOI: | 09.2004/JCPSP.545548 |
Abstrakt: | Objective: To calculate the gross and gender adjusted perinatal mortality rate (PMR) and determine the association between gender and susceptibility towards perinatal death. Design: A cross-sectional hospital-based study conducted at Gynae Unit-I of Bolan Medical Complex Hospital, Quetta from 1st January to 31st December, 2002. Patients and Methods: The study included the total births and perinatal deaths over one year period. The cause of death was ascertained through specifically-designed questionnaires and external autopsy. PMR was defined as the number of fetal deaths from 28 weeks of gestations to early neonatal deaths within 7 days after birth. Birth weight of >1000 grams or 35 cms crown-heel length was considered in lieu of unknown gestational age. Multiple pregnancies and stillbirths occurring at home were excluded. Extended Wiggles Worth classification was used to study the etiology of perinatal death separately. Results: The PMR was calculated to be 113 per 1000 births. Stillbirth rate was 103 per 1000 total births; out of these, 56.5% were intrapartum and 43.3% antepartum. Male stillbirths were 89.24% in intrapartum and 62.5% in antepartum (df=1,X2=16, p < 0.001). Out of 16 early neonatal deaths, 11 were male infants. Aberdeen classification revealed obstetric causes of PMR as antepartum haemorrhage (34 cases;76% males), malpresentations (28 cases; 57% males), and congenital anomalies (26 cases; 80% males), after adjusting for maternal age and parity. Conclusion: This study shows fetal gender as statistically significant risk factor and it will pave the way for future community-based studies to confirm such an association, after adjusting for other co-variables. |
Databáze: | MEDLINE |
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