Malondialdehyde as a Prognosticating Marker for Staging of HIE - A Prospective Cohort Study
Bibliographic record
Abstract
Introduction: Prediction of outcomes of asphyxiated neonates is imperative. Timely intervention and effective resuscitation are beneficial for intact neurodevelopmental outcomes. In this study, we assessed the level of oxidative stress at birth in cord blood and correlated it with the Hypoxic Ischemic Encephalopathy (HIE) staging and outcomes. Methodology: This Prospective Cohort Study was conducted between January 2020 and June 2022. All neonates requiring resuscitation at birth were enrolled in a study group. The control group included neonates who did not require resuscitation. Cord blood was collected at birth, centrifuged, serum separated, and stored at -200C. Malondialdehyde (MDA) was read at 535nm on spectrometry. Results: 102 neonates were enrolled, among which 29 neonates were asphyxiated and 73 non-asphyxiated. The cord blood mean MDA level was significantly high in Severe HIE, with a p-value of <0.001. The serum MDA level in cord blood had a significant difference in asphyxiated neonates (8.59±1.99) and normal neonates (3.18±1.04) (P<0.001). There is a significant difference in MDA levels in cord blood; the mean MDA level was significantly higher in HIE III (10.93±2.50), compared to HIE II (9.98±2.34) and HIE I(7.72±1.09) with a p-value of <0.001. Deceased neonates had higher MDA levels than those neonates who survived. Conclusion: Neonates with high oxidative stress at birth require advanced resuscitation. MDA levels above 7.64 mm/L have 100% sensitivity and 81.4% specificity with respect to mortality in asphyxiated neonates. Hence, cord blood MDA can be a prognostic marker of oxidative stress to predict the outcomes in asphyxiated neonates.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".