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Abstract 18476: Myocardial Recovery in Peripartum Cardiomyopathy: Effect of the GNB3 C825T Polymorphism in the Multicenter IPAC study

2015· article· en· W2409662691 on OpenAlexaff
Richard Sheppard, Julie B. Damp, Angela Kealey, Gautam Ramani, Uri Elkayam, Eileen Hsich, Mark Zucker, Jeffrey D. Alexis, Karen Hanley‐Yanez, Jessica Pisarcik, Indrani Halder, Dennis M. McNamara

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Issues in Pregnancy
Canadian institutionsUniversity of CalgaryJewish General Hospital
Fundersnot available
KeywordsMedicinePeripartum cardiomyopathyEjection fractionInternal medicineCardiologyCardiomyopathyCohortGenotypeGastroenterologyHeart failureGenetics

Abstract

fetched live from OpenAlex

Background: Peripartum cardiomyopathy (PPCM) remains a major cause of maternal morbidity and mortality. Black race is a risk factor for the disorder and although most women recover myocardial function, previous studies suggest less recovery in black women than in whites. The genetic basis of this racial difference in risk and recovery remains unknown. A polymorphism of a G protein beta subunit (GNB3 C825T) in exon 10 has been studied extensively for a potential role in increased risk of hypertension in blacks. We investigated the impact of the GNB3 C825T polymorphism on myocardial recovery in PPCM in the multicenter IPAC study (Investigation of Pregnancy Associated Cardiomyopathy). Method: 97 women with new onset of PPCM were enrolled and genotyped for the GNB3 T/C polymorphism. Myocardial function was assessed by echocardiography at study entry, 2, 6 and 12 months postpartum and LVEF calculated at a core lab. Myocardial recovery in subjects with the GNB3TT genotype was compared to subjects with the GNB3 C allele (CC and CT combined) first for the overall cohort then separately in black and white subsets. Results: Overall the cohort was 30% black, mean age 30 + 6, and LVEF 0.35 + 0.10 at study entry 31 + 25days post-partum. For the overall cohort, the % GNB3 genotype TT/CT/CC =23/41/36 and differed markedly by Race (Black= 52/38/10 versus Whites=10/43/47, p<0.001). In subjects with the GNB3TT genotype, LVEF was similar early postpartum (TT= 0.35 + 0.07; CT+CC= 0.35 + 0.09, p=0.98) but significantly lower at 2 month (TT=0.38 + 0.15; CT+CC= 0.44 + 0.10, p=0.02), 6 months (TT=0.45 + 0.15; CT+CC= 0.53 + 0.08, p=0.002), and 12 months (TT=0.45 + 0.15; CT+CC= 0.56 + 0.07, p<0.001.). The difference in recovery for GNB3 TT subjects was most pronounced in black women (12 months LVEF for GNB3 TT=0.39 + 0.16; versus CT+CC= 0.53 + 0.09, p=0.02) but was still evident in whites ((TT=0.50 + 0.11; CT+CC= 0.56 + 0.06, p=0.04). Conclusion: In IPAC, Women with the GNB3 TT genotype had significantly less myocardial recovery over the first year post-partum, and its impact was particularly evident in black women. The increase prevalence of the GNB3 TT genotype in blacks may contribute to racial differences in myocardial recovery in women with PPCM

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.280
Teacher spread0.259 · 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 source (direct Gemma or distilled Codex), 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
Published2015
Admission routes1
Has abstractyes

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