Inflammation-Mediated Damage in Progressing Lacunar Infarctions
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The mechanisms underlying neurological deterioration in patients with lacunar infarction are not completely understood. In this study, we sought to investigate the role of proinflammatory molecules in the early worsening and outcome of acute lacunar stroke. METHODS: We performed a secondary analysis of 113 consecutive patients with lacunar infarction included within the first 24 hours of the onset of symptoms in a previous study aimed at investigating clinical and biochemical factors of early neurological deterioration (END). END was defined as a fall of > or =1 points in the motor items of Canadian Stroke Scale between inclusion and 48 hours. Poor outcome at 3 months was considered death or Barthel Index <85. Interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-alpha), and intercellular adhesion molecule-1 (ICAM-1) were determined by enzyme-linked immunoabsorbent assay in blood samples obtained on admission. RESULTS: END was recorded in 27 patients (23.9%); poor outcome was noted in 26 (23%). Median (quartiles) concentrations in plasma of TNF-alpha [16.5 pg/mL (13.7 and 21.2 pg/mL) versus 7.5 pg/mL (6.2 and 9.0 pg/mL)], IL-6 [28.8 pg/mL (22.5 and 35.7 pg/mL) versus 11.5 pg/mL (8.5 and 16.2 pg/mL)], and ICAM-1 [285 pg/mL (219 and 315 pg/mL) versus 158 pg/mL (137 and 187 pg/mL)] were significantly higher in patients who had END than in those with nonprogressing strokes (P< 0.001). Significant differences were also observed between patients with poor and good outcome at 3 months. Logistic regression analysis after adjustment for potential confounders showed that TNF-alpha >14 pg/mL and ICAM-1 >208 pg/mL were independently associated with both END (OR, 511; 95% CI, 17 to 4937; P<0.001; and OR, 315; 95% CI, 17 to 5748; P< 0.001, respectively) and poor outcome at 3 months (OR, 3.0; 95% CI, 1.0 to 8.5; P=0.042; and OR, 4.2; 95% CI, 1.3 to 13.6; P<0.015, respectively). CONCLUSIONS: High concentrations of inflammatory markers in blood are associated with END and poor functional outcome in lacunar infarctions. These findings suggest that inflammation contributes to brain injury in lacunar stroke.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".