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Record W2948754491 · doi:10.1093/ehjci/jez125.005

554Ethnic differences in the phenotypic expression of HCM on CMR

2019· article· en· W2948754491 on OpenAlexaboutno aff
K. Prakash, Nicholas Bunce, Lisa Anderson, Tianle He, Maite Tome, Michael Papadakis, J C Kaski, Sanjay Sharma

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2019
Typearticle
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsPhenotypeExpression (computer science)Internal medicineGeneticsBiologyMedicineComputer scienceGene

Abstract

fetched live from OpenAlex

Funding Acknowledgements: Cardiac Risk in the Young Background: Hypertrophic cardiomyopathy (HCM) has a variable phenotypic expression. Numerous studies have noted that individuals of African/Afro-Caribbean origin (black) and Caucasians (white) demonstrate marked differences on ECG and echocardiography. However, there is a paucity of literature on cardiac MRI (CMR) findings of ethnic differences in HCM. Purpose: Assess if phenotypic differences on CMR exist between black and white individuals with HCM. Methods: Patients with HCM were recruited from a dedicated inherited cardiac conditions clinic if they were NYHA class 1, had a blood pressure ≤140/90mmHg, no evidence of LV outflow tract obstruction and were not known to have ischemic heart disease (n = 119, males = 99, white = 76, aged 16-65 years). Sequences were performed on a 3T Phillips scanner, using standard techniques and analysed using semi-automated software (MRI extended workspace 2.6.3.3, Phillips and Circle, Cardiovascular Imaging Inc, release 5.6.1, Calgary, Canada). Native T1 was calculated using ShMOLLI sequences for the basal, mid and apical septal segments and the mid-ventricular short axis slice. Results: Comparison of left ventricular (LV) mass between ethnicities demonstrated higher LV mass in black compared to white HCM patients (p < 0.001, absolute values and normalised for body surface area). Mean LV mass (normalised) for black and white HCM patients was 91.21g/m² and 74.29g/m² respectively. Strain analysis demonstrated a 7% lower peak global radial strain percentage and a 3% lower peak global circumferential strain percentage in black HCM patients compared to white HCM patients (p = 0.010, p = 0.001 respectively). Black HCM patients demonstrated less late gadolinium enhancement (LGE) than white HCM patients by mass (grams) and by percentage of myocardium (auto-threshold using 6 standard deviations) (p = 0.005, p < 0.001 respectively). Analysis of native T1 demonstrated that black HCM patients had a lower native T1 in the basal septum compared to white HCM patients (p = 0.006). There were no statistically significant ethnic differences in maximal LV wall thickness, LV end diastolic volume, left atrial area, LV stroke volume, LV ejection fraction, or peak global longitudinal strain percentage. Conclusion: This is one of the first CMR studies assessing for ethnic differences in tissue characterisation in HCM between black and white patients. Findings from this study found black HCM patients had greater LV mass, reduced peak global radial and circumferential strain percentage, lower quantity of LGE, and lower native T1 values compared to white HCM patients.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.344

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.283
Teacher spread0.239 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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