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Background: Recently, with the rapid development of the perinatal medical system and related life-saving techniques, both the short-term and long-term prognoses of extremely preterm infants (EPIs) have improved significantly. In rapidly industrialising countries like China, the survival rates of EPIs have notably increased due to the swift socioeconomic development. However, there is still a reasonably lower positive response towards the treatment of EPIs than we expected, and the current situation of withdrawing care is an urgent task for perinatal medical practitioners.
Objective: To develop and validate a model that is practicable for EPIs as soon as possible after birth by regression analysis, to assess the risk of mortality and chance of survival.
Methods: This multicentre prospective cohort study used datasets from the Sino-Northern Neonatal Network, including 46 neonatal intensive care units (NICUs). Risk factors including maternal and neonatal variables were collected within 1 hour post-childbirth. The training set consisted of data from 41 NICUs located within the Shandong Province of China, while the validation set included data from 5 NICUs outside Shandong Province. A total of 1363 neonates were included in the study.
Results: Gestational age, birth weight, pH and lactic acid in blood gas analysis within the first hour of birth, moderate-to-severe hypothermia on admission and adequate antenatal corticosteroids were influencing factors for EPIs' mortality with important predictive ability. The area under the curve values for internal validation of our prediction model and Clinical Risk Index for Babies-II scores were 0.81 and 0.76, and for external validation, 0.80 and 0.51, respectively. Moreover, the Hosmer-Lemeshow test showed that our model has a constant degree of calibration.
Conclusions: There was good predictive accuracy for mortality of EPIs based on influencing factors prenatally and within 1 hour after delivery. Predicting the risk of mortality of EPIs as soon as possible after birth can effectively guide parents to be proactive in treating more EPIs with life-saving value.
Trial Registration Number: ChiCTR1900025234.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10759098 | PMC |
http://dx.doi.org/10.1136/bmjopen-2023-074309 | DOI Listing |
Int J Pediatr
August 2025
Department of Neonatology, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan.
This study is aimed at evaluating the cumulative effect of postnatal risk factors on the survival of preterm neonates by examining key clinical parameters and complications across various gestational ages. A retrospective cohort study was conducted using data from 1109 neonates admitted to neonatal intensive care units at two tertiary regional hospitals in Kazakhstan between 2021 and 2024. Patients were classified into three groups based on gestational age: extremely preterm (< 28 weeks, = 223), very preterm (28-31 weeks, = 384), and moderate to late preterm (32-36 weeks, = 502).
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September 2025
Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
The frequency and severity of heat waves are expected to worsen with climate change. Exposure to extreme heat, or prolonged unusually high temperatures, are associated with increased morbidity and mortality. The fetus, infant, and young child are more sensitive to higher temperatures than older children and most adults given that they are rapidly developing.
View Article and Find Full Text PDFFront Physiol
August 2025
Department of Ultrasound, Deyang People's Hospital, Deyang, Sichuan, China.
Background: Antiphospholipid syndrome (APS) is a major immune-related disorder that leads to adverse pregnancy outcomes (APO), including recurrent miscarriage, placental abruption, preterm birth, and fetal growth restriction. Antiphospholipid antibodies (aPLs), particularly anticardiolipin antibodies (aCL), anti-β2-glycoprotein I antibodies (aβ2GP1), and lupus anticoagulant (LA), are considered key biomarkers for APS and are closely associated with adverse pregnancy outcomes. This is a prospective observational cohort study to use machine learning model to predict adverse pregnancy outcomes in APS patients using early pregnancy aPL levels and clinical features.
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September 2025
Department of Anesthesiology, All India Institute of Medical Sciences, Patna, India.
Background: Umbilical arterial catheterisation is a common intervention performed in the neonatal intensive care unit (NICU) especially in extremely preterm and extremely low birth weight neonates. Rarely catheter fracture or breakage can occur, leaving behind part of the catheter in the aorta. A handful of cases have been reported in the literature, with the majority being managed surgically.
View Article and Find Full Text PDFNat Med
September 2025
Rwanda Zambia Health Research Group, Center for Family Health Research/Project San Francisco, Kigali, Rwanda.
Risk of death for both mother and fetus following Ebola virus infection is extremely high. In this study, healthy women in Rwanda aged ≥18 years were randomized to two-dose Ebola vaccination (Ad26.ZEBOV, MVA-BN-Filo) during pregnancy (group A) or postpartum (group B).
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