BACKGROUND: – Cardiomyopathy guidelines recommend routine screening of at-risk relatives with dilated cardiomyopathy (DCM). Titin-truncating variants are the most prevalent cause. However, the diagnostic yield of screening is low. Risk-based stratification could optimize screening intervals and resource allocation. This study aims to develop a safe, evidence-based gene-specific longitudinal screening algorithm for DCM development. METHODS: – We included likely pathogenic/pathogenic titin-truncating variant relatives from 7 centers who underwent cardiac screening. Relatives were stratified based on their baseline clinical phenotype: genotype-positive/phenotype-negative (no left ventricular dysfunction and dilatation) or partial DCM (ie, fulfilling only 1 criterion). DCM development predictors were identified based on follow-up data. Risk profiles were established and used to develop a multistate model to create a longitudinal screening algorithm to safely and effectively monitor titin-truncating variant relatives. RESULTS: – Among 413 relatives, follow-up data were available in 301 relatives (median follow-up 5.7 years), of whom 24.6% developed left ventricular dysfunction or dilatation and 17.3% developed DCM. In total, 16 relatives (5.3%) experienced a major adverse cardiac event after DCM diagnosis. Based on the identified risk factors, age ≥30 years, male sex, and partial DCM, 3 distinct profiles were established: (1) relatives with partial DCM, (2) females ≥30 years and males, and (3) female relatives <30 years. A screening algorithm was developed, recommending intervals of 1, 3, and 5 years, optimizing the balance between safety and effectiveness. CONCLUSIONS: – An evidence-based genotype-specific longitudinal screening algorithm that integrates age, sex, and echocardiographic measurements may improve patient care and improve efficiency of clinical resource allocation.

Optimizing Screening Intervals for At-Risk Relatives of Dilated Cardiomyopathy Carrying a TTNtv / Muller, S.A., Beelen, N.J., Paldino, A., Gonzalez-Maniega, C., Bundgaard, H., Christensen, A.H., Vissing, C.R., Johnson, R., Kramarenko, D.R., Venner, M.F.G.H.M., Del Mestre, E., Ellenbroek, G.H.J.M., Dominiquez, F., Dal Ferro, M., Merlo, M., Stroeks, S.L.V.M., Sinagra, G., Amin, A.S., Fatkin, D., Garcia-Pavia, P., et al.. - In: CIRCULATION. HEART FAILURE. - ISSN 1941-3289. - (2026), pp. e013822."-"-e013822."-". [10.1161/CIRCHEARTFAILURE.125.013822]

Optimizing Screening Intervals for At-Risk Relatives of Dilated Cardiomyopathy Carrying a TTNtv

Paldino, Alessia;Del Mestre, Eva;Dal Ferro, Matteo;Merlo, Marco;Sinagra, Gianfranco;
2026-01-01

Abstract

BACKGROUND: – Cardiomyopathy guidelines recommend routine screening of at-risk relatives with dilated cardiomyopathy (DCM). Titin-truncating variants are the most prevalent cause. However, the diagnostic yield of screening is low. Risk-based stratification could optimize screening intervals and resource allocation. This study aims to develop a safe, evidence-based gene-specific longitudinal screening algorithm for DCM development. METHODS: – We included likely pathogenic/pathogenic titin-truncating variant relatives from 7 centers who underwent cardiac screening. Relatives were stratified based on their baseline clinical phenotype: genotype-positive/phenotype-negative (no left ventricular dysfunction and dilatation) or partial DCM (ie, fulfilling only 1 criterion). DCM development predictors were identified based on follow-up data. Risk profiles were established and used to develop a multistate model to create a longitudinal screening algorithm to safely and effectively monitor titin-truncating variant relatives. RESULTS: – Among 413 relatives, follow-up data were available in 301 relatives (median follow-up 5.7 years), of whom 24.6% developed left ventricular dysfunction or dilatation and 17.3% developed DCM. In total, 16 relatives (5.3%) experienced a major adverse cardiac event after DCM diagnosis. Based on the identified risk factors, age ≥30 years, male sex, and partial DCM, 3 distinct profiles were established: (1) relatives with partial DCM, (2) females ≥30 years and males, and (3) female relatives <30 years. A screening algorithm was developed, recommending intervals of 1, 3, and 5 years, optimizing the balance between safety and effectiveness. CONCLUSIONS: – An evidence-based genotype-specific longitudinal screening algorithm that integrates age, sex, and echocardiographic measurements may improve patient care and improve efficiency of clinical resource allocation.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3148359
 Avviso

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact