Study of Serum-Ferritin Level in Stroke Patients and its Outcome in Patients Admitted in Tertiary Care Centre
Bibliographic record
Abstract
Background: Stroke is a leading cause of morbidity and mortality worldwide, with inflammation playing a pivotal role in its pathogenesis. Serum ferritin, an acute-phase reactant and marker of iron metabolism, is linked to oxidative stress and inflammation, potentially influencing stroke outcomes. Studying its levels may provide insights into prognosis and therapeutic targets in stroke management. Aim and Objectives: To assess the level of serum ferritin in stroke patients admitted in tertiary care centre and to correlate the level of serum ferritin with the disease outcome in the patients. Materials and Methods: This study was conducted as a prospective Observational Study on Patients admitted in medicine ICU, tertiary care hospital, Bhopal, during the study period of 18 months i.e. from 1st September 2022 to 29th February 2024. The clinical severity of stroke was assessed using Canadian Stroke Scale at the time of admission and on the 6th day of admission, the severity of stroke was re-assessed clinically using CSS and serum ferritin levels were again measured in all the subjects. Results: Mean serum ferritin levels in patients with admitted with stroke at the time of admission was 276.30±155.52 ng/ml whereas that at day 6 was 301.95±228.86 ng/ml. 51 cases (31.9%) with stroke deteriorated over the hospital stay. Mean serum ferritin levels in deteriorated group was significantly higher as compared to non-deteriorated group (p<0.05). Serum ferritin at day 6 to be good predictor of adverse outcome i.e. deterioration as per CSS (AUC=0.897; 95% CI-0.842-0.951; p<0.05) and serum ferritin at admission was found to be fair predictor of adverse outcome (AUC=0.798; 95% CI- 0.723-0.873; p<0.05). Conclusions: Serum ferritin levels are prognostic marker of severity of stroke as well as outcome in patients with stroke. Elevated serum ferritin is strongly positively correlated with early neurological deterioration in stroke patients. Elevated serum ferritin, a marker of iron stores, thus not only help in predicting short term and long term prognosis but signals the need for more intensive patient care and management protocols.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".