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Record W3207770825 · doi:10.1016/j.nrleng.2019.10.008

Advanced interatrial block predicts recurrence of embolic stroke of undetermined source

2021· article· en· W3207770825 on OpenAlexaff
Karina Carrillo-Loza, Adrián Baranchuk, Fabiola Serrano, S. Hasseb, Fernando Espinosa Lira, Eduardo Soriano-Navarro, Antonio Araúz

Bibliographic record

VenueNeurología (English Edition) · 2021
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsQueen's University
FundersConsejo Nacional de Ciencia y Tecnología
KeywordsInterquartile rangeMedicineHazard ratioInternal medicineConfidence intervalOdds ratioStroke (engine)Proportional hazards modelLogistic regressionRisk factorMultivariate analysisCardiologySurgery

Abstract

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Advanced interatrial block (IAB) is an independent risk factor for ischaemic stroke. This study aimed to analyse whether advanced IAB predicts recurrence of embolic stroke of undetermined source (ESUS). 104 patients with a confirmed diagnosis of ESUS were followed up for a median period of 15 months (interquartile range, 10-48). We recorded data on clinical variables, P-wave characteristics, and presence of IAB on the electrocardiogram (ECG). ECG findings were interpreted by a blinded, centralised rater at (XXXX2). ESUS recurrence was the primary outcome variable. Median age was 47 years (range, 19-85); 50% of patients were women. IAB was detected in 36 patients (34.6%); IAB was partial in 29 cases (27.9%) and advanced in 7 (6.7%). Sixteen patients (15.4%) presented stroke recurrence; of these, 5 had partial and 4 had advanced IAB (P = .01; odds ratio [OR] = 9.44; 95% confidence interval [CI], 1.88-47.46; relative risk [RR] = 4.62; 95% CI, 2.01-10.61). Median P-wave duration was longer in patients with stroke recurrence (P = .009). The multivariate logistic regression analysis identified the following independent risk factors for stroke recurrence: advanced IAB (P < .001; OR = 10.86; 95% CI, 3.07-38.46), male sex (P = .028; OR = 4.6; 95% CI, 1.18-17.96), and age older than 50 years (P = .039; OR = 3.84; 95% CI, 1.06-13.88). In the Cox proportional hazards model, the risk variables identified were age older than 50 years (P = .002; hazard ratio, 7.04; 95% CI, 2.06-23.8) and P-wave duration (per ms) (P = .007; hazard ratio, 1.02; 95% CI, 1.01-1.04). Advanced IAB and age older than 50 years predict ESUS recurrence. El bloqueo interatrial avanzado (BIA-a) es considerado un factor de riesgo independiente para infarto cerebral (IC). Nuestro objetivo fue analizar si el BIA-a predice recurrencia de IC en pacientes con infarto cerebral embólico de origen no determinado (ESUS). Ciento cuatro pacientes con diagnóstico confirmado de ESUS fueron seguidos durante una mediana de 15 meses (RIQ 10-48). Los datos clínicos, las características de la onda P y presencia de BIA en electrocardiograma realizado durante el evento índice, fueron registrados. La interpretación de los electrocardiogramas se realizó de forma centralizada y ciega en (XXXX2). La recurrencia de ESUS fue el desenlace primario. La mediana de edad de los casos fue de 47 años (rango 19-85); 50% fueron mujeres. Se encontró BIA en 36 casos (34,6%); parcial (BIA-p) en 29 (27,9%) y BIA-a en 7 (6,7%). Dieciséis pacientes (15,4%) presentaron IC recurrente; de los cuales 5 tenían BIA-p y 4 BIA-a (p = 0,01;OR 9,44: IC 95% 1,88-47,46). La mediana de duración de la onda P fue mayor en pacientes con recurrencia (p = 0,009). En el análisis multivariado de regresión logística, los factores de riesgo independientes para recurrencia de IC fueron: el BIA-a (p < 0,001; OR 10,86: IC 95% 3,07-38,46), género masculino (p = 0,028; OR 4,6: IC 95% 1,18-17,96) y la edad mayor a 50 años (p = 0,039; OR 3,84: IC 95% 1,06-13,88); en riesgos proporcionales de Cox fueron: edad mayor a 50 años (p = 0,002; HR 7,04: IC 95% 2,06-23,8) y duración de la onda P (por ms) p = 0,007 (HR 1,02: IC 95% 1,01-1,04). El BIA-a y edad mayor a 50 años predicen recurrencia de ESUS.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0000.000

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 head0.027
GPT teacher head0.286
Teacher spread0.260 · 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 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".

Quick stats

Citations5
Published2021
Admission routes1
Has abstractyes

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