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Left Ventricular Dysfunction and Mortality in Adult Patients with Eisenmenger Syndrome

2007· article· en· W2054272692 on OpenAlexaff
Omid Salehian, Markus Schwerzmann, Sherryn Rambihar, Dara Silver, Samuel C. Siu, Gary D. Webb, Peter Liu

Bibliographic record

VenueCongenital Heart Disease · 2007
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsToronto General HospitalUniversity Health NetworkMcMaster University
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsMedicineCardiologyInternal medicineEjection fractionHeart failureEisenmenger syndromeElectrocardiographyLeft ventricular hypertrophyQRS complexRight ventricular hypertrophyPulmonary hypertensionBlood pressure

Abstract

fetched live from OpenAlex

OBJECTIVES: To identify risk factors associated with mortality in adult patients with Eisenmenger syndrome and to assess the effect of left ventricular dysfunction on mortality in these patients. METHODS AND RESULTS: One hundred twenty-two adult patients with Eisenmenger syndrome were retrospectively evaluated for signs and symptoms of heart failure, and underwent electrocardiography and laboratory investigations. Available echocardiograms were analyzed and left ventricular function was assessed both qualitatively and quantitatively. There were 47 deaths at 37.8 +/- 12.0 years of age. On univariate analysis clinical signs and symptoms of heart failure, right ventricular hypertrophy on electrocardiography, wide QRS (QRS duration >130 milliseconds), and left ventricular dysfunction (left ventricular ejection fraction [LVEF] <50%) on echocardiography were associated with mortality. On multivariate analysis, signs and symptoms of heart failure, right ventricular hypertrophy on electrocardiography, and LVEF <50% remained strong predictors of death. CONCLUSIONS: Signs and symptoms of heart failure predict mortality in patients with Eisenmenger syndrome. Furthermore, patients with left ventricular dysfunction (LVEF <50%) have higher mortality. A combination of signs and symptoms of heart failure, right ventricular hypertrophy on electrocardiography, and left ventricular dysfunction on echocardiography provides the most powerful predictor of death in patients with Eisenmenger syndrome.

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 score0.013
Threshold uncertainty score0.384

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 head0.011
GPT teacher head0.259
Teacher spread0.249 · 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

Citations8
Published2007
Admission routes1
Has abstractyes

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