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Record W2013728261 · doi:10.1161/hs0402.105339

Inflammation-Mediated Damage in Progressing Lacunar Infarctions

2002· article· en· W2013728261 on OpenAlexaboutno aff
Mar Castellanos, José Castillo, Maria García-Gil, Rogelio Leira, Joaquı́n Serena, Ángel Chamorro, Antoni Dávalos

Bibliographic record

VenueStroke · 2002
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsnot available
FundersXunta de GaliciaStroke Association
KeywordsMedicineLacunar infarctionProinflammatory cytokineInternal medicineLacunar strokeStroke (engine)GastroenterologyQuartileTumor necrosis factor alphaInflammationSurgeryInfarctionMyocardial infarctionIschemic strokeIschemiaConfidence interval

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.044
GPT teacher head0.260
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations242
Published2002
Admission routes1
Has abstractyes

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