The PURPOSe cause of death study in stillbirths and neonatal deaths in India and Pakistan: A review.
Robert L GoldenbergSarah SaleemShivaprasad S GoudarJanet MooreGowdar GuruprasadVardendra KulkarniSangappa M DhadedShiyam Sunder TikmaniSidrah NausheenShazia MasheerMangala G KallapurNajia K GhanchiSheetal U HarakuniImran AhmedKay HwangS YogeshkumarManjunath S SomannavarHaleema YasminJean KimCarla M BannRobert M SilverElizabeth M McClurenull nullPublished in: BJOG : an international journal of obstetrics and gynaecology (2023)
The PURPOSe study was a prospective, observational study conducted in India and Pakistan to determine the cause of death for stillbirths and preterm neonatal deaths, using clinical data together with minimally invasive tissue sampling (MITS) and the histologic and polymerase chain reaction (PCR) evaluation of fetal/neonatal tissues and the placenta. After evaluating all available data, an independent panel chose a maternal, a placental and a fetal/neonatal cause of death. Here, we summarise the major results. Among the most important findings were that most stillbirths were caused by fetal asphyxia, often preceded by placental malperfusion, and clinically associated with pre-eclampsia, placental abruption and a small-for-gestational-age fetus. The preterm neonatal deaths were primarily caused by birth asphyxia, followed by various infections. An important finding was that many of the preterm neonatal deaths were caused by a nosocomial infection acquired after neonatal intensive care (NICU) admission; the most common organisms were Acinetobacter baumannii, followed by Klebsiella pneumoniae, Escherichia coli/Shigella and Haemophilus influenzae. Group B streptococcus was less commonly present in the placentas or internal organs of the neonatal deaths.
Keyphrases
- gestational age
- escherichia coli
- klebsiella pneumoniae
- acinetobacter baumannii
- multidrug resistant
- preterm birth
- birth weight
- minimally invasive
- drug resistant
- emergency department
- low birth weight
- preterm infants
- gene expression
- pregnant women
- electronic health record
- staphylococcus aureus
- biofilm formation
- tertiary care
- machine learning
- body mass index
- physical activity
- weight loss
- deep learning