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Record W7120739928

Risk factors for in-hospital mortality after stroke

2024· dissertation· pt· W7120739928 on OpenAlexaboutno aff
Silvia Mayla Santos de Santana

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2024
Typedissertation
Languagept
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsPoisson regressionStroke (engine)Prospective cohort studyCohortIschemic strokeCohort studyCerebral blood flowRisk factor
DOInot available

Abstract

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Introduction: Stroke is the most prevalent neurological disorder in Brazil and worldwide. It is characterized by focal involvement in cerebral blood circulation, leading to sensory, motor, and cognitive alterations. Ischemic stroke (IS) is the most prevalent type, characterized by the interruption of blood flow due to vessel obstruction, resulting in the formation of ischemic areas in the brain and, consequently, temporary or permanent clinical repercussions. Objective: To assess risk factors for in-hospital mortality in patients after IS. Method: This is a prospective cohort study that included patients with a primary diagnosis of IS, admitted within 24 hours of symptom onset, and diagnosed using cranial computed tomography. Data were collected prospectively on a daily basis, actively seeking patients in the hospital's emergency sectors from admission to discharge. Sociodemographic, clinical, previous history, severity, complications, hospitalization, and outcomes variables were analyzed using various statistical methods, including the Mann-Whitney test, Pearson's Chi-square test, Fisher's exact test, and Poisson regression models to evaluate relationships between dependent and independent variables. Results: The study included 91 patients, with 53% females and 47% males, with a mean age of 65 (SD=13.9) years. Regarding IS types and complications, IS without other alterations stood out (84.6%), followed by extensive or malignant IS (9.9%), and lastly, IS with hemorrhagic transformation (5.5%). Concerning reperfusion therapy, the study showed that 22% of patients underwent intravenous thrombolysis, with 44.8% arriving within four hours and 30 minutes of symptom onset. Regarding complications and outcomes during hospitalization, 73.6% were discharged, and 25.3% died in the hospital. Patients with a higher likelihood of in-hospital death were those with malignant or extensive IS (Consciousness Impairment [CI] = 42, p < 0.001), patients with National Institutes of Health Stroke Scale (NIHSS) (CI = 4.89, p = 0.008), absence of bilateral pupillary light reflex (CI = 5.90, p = 0.009), anticoagulant use (CI = 6.84, p = 0.005), respiratory infection (CI = 8.85, p = 0.017), elevated C-reactive protein levels (CI = 248, p < 0.001), need for Intensive Care Unit (ICU) (CI = 25.39, p < 0.001), mechanical ventilation (CI = 138, p < 0.001), and use of hospital neuromuscular blockers (CI = 12.59, p = 0.033). Additionally, patients with Alberta Stroke Program Early Computed Tomography Score between 0 and 5 and NIHSS greater than 16 had a significantly higher odds ratio for in-hospital death. Conclusion: Patients with more severe conditions, greater cerebral involvement, and at least one complication during hospitalization had a higher risk of in-hospital death. Distance did not significantly influence the mortality of IS patients, and not reaching the therapeutic window or not undergoing thrombolysis were not risk factors for death.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.269
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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Citations0
Published2024
Admission routes1
Has abstractyes

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