The Mosaic of Risk in Neonatal Asphyxia: A Systematic Review of Clinical, Placental, and Systemic Predictors
Bibliographic record
Abstract
Background: Neonatal asphyxia, a critical failure of gas exchange during the perinatal period, remains a primary cause of neonatal mortality and long-term neurodevelopmental disability worldwide, including hypoxic-ischemic encephalopathy (HIE). Its etiology is a complex mosaic of interconnected factors. Understanding this intricate risk profile is essential for developing effective prevention and intervention strategies. The aim of this study is to systematically review and synthesize recent evidence (published 2019–2025) on the spectrum of maternal, fetal, intrapartum, placental, and systemic risk factors associated with neonatal asphyxia. Methods: This systematic review was conducted following the PRISMA guidelines. A comprehensive literature search was performed in PubMed, ScienceDirect, and Google Scholar for observational studies published between January 1st, 2019, and April 1st, 2025. Dual reviewers independently conducted study selection, data extraction, and risk of bias assessment using the Newcastle-Ottawa Scale (NOS). Due to significant clinical and methodological heterogeneity, a narrative synthesis was performed. Results: The search yielded 870 articles, from which 13 observational studies met the inclusion criteria. The synthesis of these studies revealed a consistent and powerful link between neonatal asphyxia and a wide array of predictors. Key factors included maternal comorbidities (hypertensive disorders), prenatal maternal psychological stress, intrapartum complications (prolonged labor, meconium-stained amniotic fluid), placental pathology (maternal vascular malperfusion, meconium-associated changes), fetal characteristics (low birth weight), and crucial systemic factors, such as maternal immigrant status and sociodemographic disparities. Predictive models developed in two of the included studies demonstrated good discriminative performance in identifying high-risk pregnancies, offering potential for clinical application. Conclusion: Neonatal asphyxia arises from a complex interplay of risk factors that span the entire perinatal continuum, from pre-conceptual maternal health and systemic inequities to acute intrapartum events. Effective mitigation requires a multi-pronged approach encompassing comprehensive antenatal care that addresses both physical and mental health, vigilant intrapartum monitoring, and systemic efforts to ensure equitable access to high-quality perinatal care. The integration of validated risk prediction tools into clinical practice holds significant promise for reducing the global burden of this devastating condition.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".