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Abstract 3584: The Prevalence and Factors Associated With 1-Year Angina among Post-MI Patients

2007· article· en· W168203225 on OpenAlexaboutno aff
Thomas M. Maddox, Kimberly J. Reid, John A. Spertus, Susmita Parashar, Harlan M. Krumholz, P. Michael Ho, John S. Rumsfeld

Bibliographic record

VenueCirculation · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnginaMyocardial infarctionRevascularizationInternal medicineCanadian Cardiovascular SocietyEmergency medicineProspective cohort studyCardiologyPhysical therapy

Abstract

fetched live from OpenAlex

Background: A primary goal of in-hospital treatment and outpatient care following myocardial infarction (MI) is the eradication of angina. However, the prevalence of angina and the factors associated with angina in the year after MI are unknown. Methods: The primary outcome of the PREMIER multi-center prospective study was presence of angina, as measured by the Seattle Angina Questionnaire (SAQ), 1 year after MI hospitalization. Multivariable regression modeling identified the socio-demographic factors, clinical history, MI presentation, inpatient therapies and complications, and outpatient treatment characteristics associated with 1-year angina, adjusted for site. . Results: Of 1957 patients in the cohort, 83 patients (4.2%) reported daily or weekly angina, and 306 patients (15.6%) reported less than weekly angina 1 year after their index MI. After multivariable analysis (figure ), angina 1 year after an index MI was associated with younger age, non-white race, baseline angina, history of CABG surgery, no inpatient revascularization, recurrent rest angina during MI hospitalization, persistent smoking after MI hospitalization, outpatient revascularization after MI hospitalization, and depressive symptoms (either as an inpatient or during the year after MI hospitalization). Conclusions: Angina 1 year after MI hospitalization is associated with several modifiable factors, including persistent smoking and depressive symptoms in the year after MI discharge. Recognition of these relationships will be important in monitoring and treating at-risk patients for post-MI angina.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.002
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.013
GPT teacher head0.244
Teacher spread0.230 · 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

Citations0
Published2007
Admission routes1
Has abstractyes

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