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Record W3023863247 · doi:10.1055/s-0040-1709946

Predictors of Postthrombolysis Outcome and Symptomatic Postthrombolysis Hemorrhage following Intravenous Thrombolysis with Alteplase for Acute Ischemic Stroke

2020· article· en· W3023863247 on OpenAlexaboutno aff
Suman Das, Gourango Prosad Mondal, Ramesh Bhattacharya, Kartick Chandra Ghosh, Sarbajit Das, Hema Krishna Pattem, Shabir Ahmed Paul, Chandrakanta Patra

Bibliographic record

VenueJournal of Neurosciences in Rural Practice · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineThrombolysisOdds ratioInternal medicineStroke (engine)Diabetes mellitusFibrinogenIntracerebral hemorrhageCardiologyEjection fractionConfidence intervalHeart failureMyocardial infarctionSubarachnoid hemorrhage

Abstract

fetched live from OpenAlex

Abstract Background Thrombolysis improves the outcome in acute ischemic stroke (AIS), albeit with an increased risk of symptomatic intracranial hemorrhage (sICH). Biomarkers to find patients at risk of sICH, and guide treatment and prognosis would be valuable. Methods Consecutive patients of AIS thrombolysed between February 2017 and September 2019 at Calcutta National Medical College were studied prospectively for sICH and outcome at 6-month follow-up. We identified the independent risk factors for unfavorable outcomes, mortality, and sICH using multivariate analysis. Prethrombolysis and 24-hour postthrombolysis fibrinogen levels were estimated to evaluate its biomarker role. Results Out of 180 AIS patients admitted during the study period, 60 patients were thrombolysed. Door to needle time was <3 hours among 24 patients and 3 to 4.5 hours among 36 patients. Favorable outcomes occurred among 76.67% and sICH occurred among 13.33% patients. Upper tertile of National Institute of Health Stroke Scale (NIHSS) had the highest adjusted odds for sICH (17.5 [95% confidence intervals=1.7–178.44]). Total anterior circulation stroke had the highest adjusted odds for unfavorable outcome (19.11 [3.9–92.6]). Following thrombolysis, the mean (standard deviation) fibrinogen level of 449.27 (32.87) decreased 7% to postthrombolysis level of 420 (20.5; p< 0.0001). Higher tertiles of fibrinogen levels had progressively increasing odds for morbidity and sICH. Conclusion Congestive heart failure, hypertension, age ≥75 years, diabetes mellitus, stroke (double weight), i.e., CHADS2 score >2, low ejection fraction, the occurrence of total anterior circulation stroke and higher mean arterial blood pressure, blood glucose level, NIHSS score, and fibrinogen at admission were the common risk factors significantly predicting postthrombolysis sICH and morbidity. Antiplatelet and anticoagulant therapy, lower ASPECT (Alberta Stroke Program Early CT Score), and higher SEDAN scores also predicted sICH . Fibrinogen levels were significantly higher among those developing sICH and having unfavorable outcome. The performance of thrombolysis within 3 hours or between 3 and 4.5 hours after symptom onset did not affect morbidity, mortality, or the occurrence of sICH.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.515
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.306
Teacher spread0.289 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations24
Published2020
Admission routes1
Has abstractyes

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