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Early symptoms and medical history of patients with transthyretin amyloidosis cardiomyopathy: Results from the multi-country OverTTuRe study

2025· article· en· W7128070845 on OpenAlexaffabout
J G Smith, Z Tian, Katrin Hahn, N Fine, Björn Pilebro, Jayne Wright, A G Bhimjiyani, K Jarbrink, P Garcia-Pavia

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsLibin Cardiovascular Institute of Alberta
Fundersnot available
KeywordsAmyloidosisTransthyretinCardiac amyloidosisMedical historyHeart failureDiseasePopulationMedical record

Abstract

fetched live from OpenAlex

Abstract Background/Introduction Transthyretin amyloidosis is a progressive and life-threatening condition causing multisystem dysfunction, notably in the heart (ATTR-CM) and peripheral nerves (ATTR-PN), with many patients exhibiting symptoms of both. It can result from hereditary mutations (ATTRv) or an age-related process in wild-type (ATTRwt). The condition is significantly underdiagnosed and an underrecognised cause of heart failure. Real-world data on ATTR-CM, including patient characteristics, from different countries and populations are limited. Purpose The aim of this study was to describe demographics, clinical characteristics and medical history of patients identified as having ATTR-CM across different regions, healthcare systems and populations with different genetic compositions to support earlier recognition and treatment. Methods OverTTuRe is a multi-country study generating real-world evidence on adult symptomatic patients with ATTR amyloidosis. The study population included patients diagnosed with ATTR amyloidosis in several national registries (Sweden, Germany, Canada) or through retrospective chart reviews (Spain and China). Here we present data recorded in the Swedish Transthyretin amyloidosis registry (SveaTTR) from 2000 to October 2024 and patients diagnosed with ATTR amyloidosis from 2009 to 2023 sampled through a chart review at 11 hospitals in Spain. Analyses of data from other countries are ongoing and will also be presented. Patients were assigned to the cardiac phenotype of the disease based on their symptoms and manifestations at baseline (Sweden), or as judged by the investigator (Spain). Results In total, 640 patients were included; 277 from Sweden and 363 from Spain. Besides cardiac manifestations, 61 (22%) patients in Sweden had neuropathic symptoms at the time of disease onset and were classified as having ATTR amyloidosis with mixed phenotype. The corresponding proportion in Spain based on medical records was as high as 41% (n=150). Baseline patient characteristics are presented in the table. Patients with a mixed phenotype were generally younger, more likely female, having a genetic mutation, with peripheral neuropathy being the most common non-cardiac manifestation at diagnosis. The Swedish population of patients with ATTR amyloidosis was in comparison to the Spanish population younger, having fewer chronic conditions, and with ATTR-CM more often being hereditary. The discrepancies between mean and median time from first manifestation to diagnosis of ATTR amyloidosis indicate that some patients suffer from a severe delay, particularly in Spain. Conclusions These findings demonstrate the high degree of neuropathic manifestations across the spectrum of ATTR amyloidosis with cardiomyopathy phenotype, with peripheral neuropathy being the most common. The observed delay in diagnosis of ATTR amyloidosis indicates the need for an increased awareness and earlier clinical suspicion given the poor prognosis if untreated.

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)0.001
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.238
Teacher spread0.229 · 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
Published2025
Admission routes2
Has abstractyes

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