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Record W3126473263 · doi:10.1093/ehjci/jeaa356.298

Microvascular and mechanical improvements following bariatric surgery in the obese; mechanistic insights from advanced & automated quantitative perfusion cardiac MRI

2021· article· en· W3126473263 on OpenAlexfundno aff
George Joy, JD Crane, JB Augusto, Clement Lau, Andreas Seraphim, Anish Bhuva, James Moon, Hui Xue, Peter Kellman, J.K. Cruickshank, BM McGowan, Charlotte Manisty

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsnot available
FundersUniversity College LondonSt. Thomas UniversityUniversity of Scranton
KeywordsMedicineInternal medicineCardiologyEjection fractionPerfusionDiabetes mellitusBlood pressureCardiac function curveStroke volumeHeart failureSurgeryEndocrinology

Abstract

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Abstract Funding Acknowledgements Type of funding sources: Public Institution(s). Main funding source(s): Guy"s and St Thomas" Charity University College London Hospital Biomedical Research Centre Background In people with obesity, bariatric surgery reduces mortality, heart failure and coronary disease, improving metabolic (blood sugar, lipid profile, inflammation) and cardiovascular (diastolic/systolic function, filling pressure, cardiac remodelling) parameters. Myocardial microvascular function is a candidate causal link of metabolic to structural cardiac abnormalities. Purpose We hypothesised that bariatric surgery could improve myocardial microvascular and mechanical function in both those with and without diabetes. Methods Before and six months after bariatric surgery, 24 subjects with obesity were assessed with haematology, biochemistry and advanced CMR (cines, vasodilator adenosine stress and rest fully-automated quantitative perfusion mapping, tissue-tracking (CVI42, post processing). Results. Mean age was 49± 12 years, 35%(8) were male, 63%(15), had hypertension, 17 (71%) had diabetes. Surgery resulted in decreases in BMI (44 ± 7 to 34 ± 6 kg/m2 p = 0.0001) and HbA1c (57 ± 16 to 42 ± 9mmol/mol p = 0.0001). EF% and absolute LV end-diastolic volumes remained unchanged, but mass regressed and myocardial contraction fraction (ratio of stroke volume and LV volume) increased (see Table). There were also strain improvements (radial 35 ± 8.8 to 37.3 ± 8.7 %p = 0.029) (circumferential -19.8 ± 2.3 vs -20.7 ± 3% p = 0.017), although longitudinal did not improve (-16.3 ± 3.2 to -15.9 ± 3% p = 0.25). Myocardial perfusion significantly improved (stress myocardial blood flow, MBF 2.35 ± 0.71 to 2.80 ± 0.98 ml/g/min p = 0.008; myocardial perfusion reserve MPR 2.47 ± 0.78 to 2.97 ± 0.95 p = 0.005). Improvement in stress MBF and MPR from pre-operative to post-operative was higher in the non-diabetics (n = 7 (29%)) than the diabetics (n = 17 (71%)) (stress MBF: 1.15 ± 1.00 vs 0.16 ± 0.39ml/g/min p = 0.002) MPR: (1.09 ± 0.73 vs 0.25 ± 0.66 p = 0.011). Conclusion At 6 months, bariatric surgery results in beneficial myocardial remodelling and substantial improvements in myocardial microvascular function. These improvements occur most in those without diabetes suggesting that there may be reversible and irreversible components to microvascular dysfunction. Perfusion and strain variables Variable Pre-op (n = 24) Post-op (n = 24) p-value LVEDV (ml) 163 ± 28 161 ± 29 0.64 EF (%) 70 ± 8 70 ± 7 0.78 Stroke volume (ml) 113 ± 19 111 ± 21 0.6 LV Mass (g) 117 ± 25 103 ± 21 0.001 Myocardial contraction fraction 94 ± 14 105 ± 14 0.001 LVEDV - left ventricular end-diastolic volume, EF - ejection fraction Abstract Figure.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.005
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.019
GPT teacher head0.269
Teacher spread0.250 · 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.

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
Published2021
Admission routes1
Has abstractyes

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