Impact of Oxidative Stress and Newer Antiepileptic Drugs on the Albumin and Cortisol Value in Severe Motor and Intellectual Disabilities With Epilepsy
Bibliographic record
Abstract
BACKGROUND: other than their epileptic efficacy. The purpose of this study was to clarify the effects of the newer antiepileptic drugs (AEDs) on the blood biochemical parameters and oxidative stress in SMID with epilepsy by comparing the therapeutic effects between a group of patients receiving lamotrigine (LTG) and levetiracetam (LEV) in addition to the conventional AEDs (newer AED group) and a group receiving conventional AEDs alone (old AED group). METHODS: The study population consisted of 44 SMID patients with epilepsy, of which 23 were allocated to the newer AED group and 21 were allocated to the old AED group. In the newer AED group, measurements of the reactive oxygen metabolites (d-ROMs), biological antioxidant potential (BAP) and serum albumin were carried out at the following two time points: 1 week before and 1 year after the start of administration of the newer AEDs. In the old AED group, measurements of the same variables were performed at two time points 1 year apart. RESULTS: A significant decrease of the d-ROM levels and a significant increase of the BAP were noted in the newer AED group. A significant elevation of the serum albumin was also evident. In the old AED group, a significant increase of the d-ROMs levels was noted at the second measurement. Cortisol levels which have been described to be related to the albumin, revealed a significant decrease of the serum cortisol in relation to elevation of serum albumin in the newer AED group. CONCLUSIONS: The present study results suggest that the addition of newer AEDs reduces the oxidative stress load and improves the antioxidant potential of the body. Furthermore, the present data also demonstrate that the newer AEDs have indirect impact on biological parameters.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".