Serum Uric Acid Levels in Acute Ischemic Stroke: A Study of 100 Patients
Bibliographic record
Abstract
Background: It is unclear whether Serum Uric Acid (SUA) promotes or protects against the cerebrovascular disease. Present study was done to estimate uric acid levels in patients of acute ischemic stroke. Methods: 100 cases of acute ischemic stroke were studied along with 100 controls. Risk factors for stroke were noted such as hypertension, diabetes mellitus, metabolic syndrome, smoking, and obesity. Serum uric acid levels were measured in cases and controls. Modified National Institute of Health (NIH) stroke scale score was calculated at admission and before discharge. Statistical analysis was performed with of SPSS 13.0 software. Results: Out of 100 patients, 63 were males and 37 were females. Mean SUA level in cases was 6.48 ± 1.92 mg / dl whereas it was 5.09 ± 1.07 mg / dl for controls. SUA values were higher among males than females, but this difference was not statistically significant (P = 0.085). The mean SUA in hypertensive subjects (6.42 ± 1.85 mg / dl) was higher than that in normotensive subjects (5.49 ± 1.55 mg / dl). There was a statistically significant difference between SUA levels in diabetic (6.85 ± 1.86 mg / dl, Range 3.1 - 12 mg / dl) and non-diabetic patients (5.56 ± 1.58 mg / dl, Range 2.1 - 11 mg / dl)) (P = 0.00). Mean SUA in overweight patients was 6.48 ± 1.65 mg / dl (Range 2.1 - 9.9 mg / dl) whereas it was 5.55 ± 1.65 (Range 2.1 - 12 mg / dl) in patients who had a normal weight. The mean SUA in patients with metabolic syndrome was 6.82 ± 1.62 mg / dl (Range 2.1 - 10 mg / dl) and 5.45 ± 1.59 mg / dl (Range 2.1 - 12 mg / dl) for the subjects without metabolic syndrome. SUA levels were significantly higher among smokers compared to non smokers (6.36 ± 1.78 vs. 5.69 ± 1.67, P = 0.05). There was a significant positive correlation between SUA and NIH stroke scale score (P less than 0.05). SUA levels were significantly higher in the patients who succumbed as compared to those who were discharged from the hospital (P = 0.00). Conclusions: SUA can be used as a marker for increased risk of stroke. Furthermore, SUA can also be used for risk stratification after stroke. doi:10.4021/jnr71w
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".