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Predominance of a rare transthyretin mutation (p.Asp38Glu) in patients with hATTR cardiomyopathy: initial data from the Croatian Transthyretin Cardiac Amyloidosis Registry (CroATTR)

2023· article· en· W4388594421 on OpenAlexaboutno aff
Filip Lončarić, Nina Jakuš, Dora Fabijanović, Jure Samardžić, Boško Škorić, Ivona Mustapić, Ozren Vinter, Damir Raljević, Fran Borovečki, Davor Miličić, Ivo Planinc

Bibliographic record

VenueEuropean Heart Journal · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAmyloidosisTransthyretinRestrictive cardiomyopathyCardiac amyloidosisCardiomyopathyInternal medicinePediatricsPenetranceHeart failurePhenotypeGenetics

Abstract

fetched live from OpenAlex

Abstract Introduction Transthyretin amyloidosis (ATTR) is classified as hereditary (hATTR) or acquired (wtATTR). hATTR is rare genetic disease with variable penetrance and phenotype, with cardiomyopathy (CM) and/or neuropathy being most relevant clinical presentations. The most common and investigated mutation in Europe is Val30Met, predominant in endemic areas of Portugal and Sweden. On the contrary, p.Asp38Glu is an extremely rare mutation with only several cases mentioned in a Swedish register and isolated cases in Japan, India and Canada. Described cases were associated with early onset CM which required specific treatment, heart- or combined heart and liver transplantation. The Croatian Transthyretin Cardiac Amyloidosis Registry (CroATTR) is a national, longitudinal, non-interventional, and both retrospective and prospective ATTR registry. It is designed to include patients with clinically proven hATTR-CM or wtATTR-CM according to the current guidelines, as well as family members with a confirmed TTR mutation. Purpose This is the first report from the CroATTR, aimed to analyse baseline characteristics of the currently enrolled patients in the first year of the registry. Methods All patient data were collected and managed using the REDCap electronic data capture tool. The collected data included demographic, clinical, diagnostic, laboratory and genetic parameters. The CroATTR registry was approved by the Institutional Ethics Committee, and all patients signed informed consent. 18 adult patients are included in this report, divided into the following groups: wtATTR group, hATTR group (genotype +, phenotype +), hATTR group (genotype +, phenotype -). Results The patients in the CroATTR Registry were predominantly male (15/18, 83%) with median age of 51 years [45.5-67] (Table 1.). Five (27.78%) patients have wATTR, seven (38.89%) have hATTR with developed CM (phenotype positive) and six (33.33%) have confirmed mutation of the TTR gene but are phenotype negative. 12 out of 13 confirmed mutations were p.Asp38Glu. Patients with hATTR CM were all male, in NYHA class I-III, with a high proportion of atrial fibrillation and amyloid-associated changes in the electrocardiogram as well as higher values of N-terminal pro-B-type Natriuretic Peptide (NT-proBNP). Conclusion The CroATTR Registry is formed to provide insights into the prevalence, phenotypic characteristics and natural course of ATTR in Croatia. In the initial Registry analysis, to the best of our knowledge, we reported the largest number of patients with p.Asp38Glu mutation of transthyretin gene up to date. Notably, all patients with p.Asp38Glu originate from the same geographical region in the south-eastern part of Croatia, which we postulate may be a new endemic area for hATTR.Table 1

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)0.003
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 score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.030
GPT teacher head0.278
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 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
Published2023
Admission routes1
Has abstractyes

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