Estimation of Vitamin D Levels in Acute Ischaemic Stroke - A Study from Amritsar, Punjab
Bibliographic record
Abstract
BACKGROUND World Health Organization (WHO) defines stroke as “rapidly developing clinical signs of focal (or global) disturbance of cerebral function, lasting more than 24 hours or leading to death, with no apparent cause other than that of vascular origin.” Low serum 25 hydroxy vitamin D is associated with large infarct volume, which worsens the outcome in ischemic stroke patients. In this study, we wanted to evaluate serum vitamin D levels in acute ischaemic stroke (AIS) patients and correlate the severity of stroke with lipid profile & central nervous system (CNS). METHODS It was a cross sectional comparative study, conducted in Department of Medicine in SGRDIMSR, Sri Amritsar from December 2018 to June 2020. A total of 100 subjects, 50 cases of AIS, diagnosed by history, clinical examination and supported by magnetic resonance imaging (MRI) of brain and 50 age and sex matched healthy controls were enrolled for the present study to estimate serum vitamin D level in AIS. Detailed clinical history and clinical examination were done on all participating subjects and relevant investigations were done. Diagnosis was confirmed by MRI brain in acute ischemic stroke cases. The severity of neurological impairment was evaluated as per Canadian neurological stroke scale within 24 hours of admission of the cases. RESULTS Mean age of cases was 62.06 ± 10.52 years and mean age of control was 59.14 ± 11.36 with maximum number of subjects were in age group of 61 - 70 years. The mean value of vitamin D in study group was 19.31 ± 9.24 while in control group, mean value was 36.42 ± 8.33, showing more serum vitamin D deficiency in cases having AIS than controls. (P value 0.021). CONCLUSIONS The present study suggests that the low serum vitamin D levels in the body is associated with more severe neurological deficit. KEYWORDS Stroke, Serum Vitamin D, Acute Ischemic Stroke, Canadian Neurological Scale
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".