Skip to main content

Welkom bij THIM Hogeschool voor Fysiotherapie & Bohn Stafleu van Loghum

THIM Hogeschool voor Fysiotherapie heeft ervoor gezorgd dat je Mijn BSL eenvoudig en snel kunt raadplegen. Je kunt je links eenvoudig registreren. Met deze gegevens kun je thuis, of waar ook ter wereld toegang krijgen tot Mijn BSL. Heb je een vraag, neem dan contact op met helpdesk@thim.nl.

Registreer

Om ook buiten de locaties van THIM, thuis bijvoorbeeld, van Mijn BSL gebruik te kunnen maken, moet je jezelf eenmalig registreren. Dit kan alleen vanaf een computer op een van de locaties van THIM.

Eenmaal geregistreerd kun je thuis of waar ook ter wereld onbeperkt toegang krijgen tot Mijn BSL.

Login

Als u al geregistreerd bent, hoeft u alleen maar in te loggen om onbeperkt toegang te krijgen tot Mijn BSL.

Top
Gepubliceerd in:

Open Access 20-01-2025 | Original Article

Yield of family screening for dilated cardiomyopathy: 10-year experience at a multidisciplinary cardiogenetic outpatient clinic

Auteurs: Isabelle P. Thierry, Steven A. Muller, Annette F. Baas, Dennis Dooijes, R. Laura E. van Loon, Angela E. Schoemaker, Pim van der Harst, Marish I. F. J. Oerlemans, Hubert F. Baars, Rutger J. Hassink, Folkert W. Asselbergs, J. Peter van Tintelen, Anneline S. J. M. te Riele

Gepubliceerd in: Netherlands Heart Journal | Uitgave 2/2025

share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
insite
ZOEKEN

Abstract

Introduction

Current family screening approaches in dilated cardiomyopathy (DCM) depend on the presence or absence of a familial genetic variant, in which variant pathogenicity (i.e. benign or pathogenic) classification drives screening recommendations. However, this approach has never been systematically evaluated.

Methods

To describe the yield of DCM family screening stratified by variant classification in the Netherlands, we included 358 relatives (mean age ± standard deviation: 44.4 ± 15.9 years at baseline; 52% female; 41% (likely) pathogenic (LP/P) variant carriers from 210 families). Demographics, symptoms and genetic/cardiac test results were obtained. Endpoints were the development of DCM (left ventricular ejection fraction < 50% of non-ischaemic aetiology) or occurrence of major adverse cardiovascular events (MACE) (i.e. heart failure hospitalisation, ventricular arrhythmia or death). Probability of DCM or MACE was assessed with the Kaplan-Meier method.

Results

DCM was present in 32 relatives (9%) (25/32 (78%) with LP/P variant) at baseline and in an additional 10/97 relatives (10%) (9/10 (90%) with LP/P variant) who were re-evaluated during a median follow-up time of 5.0 years (interquartile range: 3.2–7.4). Of the 128 relatives without the familial LP/P variant, none developed DCM. MACE was experienced by 5 relatives (1%) (4/5 (80%) with LP/P variant), all of whom had DCM at the time of the event.

Conclusion

The yield of DCM family screening was ~10% at baseline and another ~10% during 5‑year follow-up. Relatives without the familial LP/P variant could be safely discharged. These results reinforce the use of a genetics-first screening approach in relatives from families with an LP/P variant. This will lower the burden on resources in Dutch hospitals and help allocate resources to those who are most likely to benefit.
Opmerkingen

Supplementary Information

The online version of this article (https://​doi.​org/​10.​1007/​s12471-024-01924-1) contains supplementary material, which is available to authorized users.
The authors I.P. Thierry and S.A. Muller contributed equally to the manuscript.
What’s new?
  • Relatives without a familial pathogenic or likely pathogenic variant did not have dilated cardiomyopathy (DCM) at baseline, nor did they develop DCM during ~ 5 years of follow-up.
  • This study suggested the ‘genetic testing first’ approach, currently used for families with a pathogenic variant, can also be safely used in families with a likely pathogenic variant.

Introduction

Dilated cardiomyopathy (DCM) is the most common cause of heart failure (HF), with an estimated prevalence of 1:250 individuals [1]. Although various aetiologies can lead to DCM, a genetic predisposition has been established in up to 46% of cases [2]. Establishing a genetic variant in the family enables cascade genetic testing in relatives, which can identify individuals at risk of DCM [3]. This means that cardiologists need to make management recommendations for an increasing number of genotype-positive relatives, many of whom are young and asymptomatic.
Current guidelines for screening relatives at risk of DCM in the Netherlands rely on pathogenicity classification of the genetic variant in the family or proband [4]. In this context, genetic variants are classified as pathogenic (P) variant, likely pathogenic (LP) variant or variant of uncertain significance/no genetic variant found (‘gene-elusive’) [4]. This leads to 3 possible scenarios: (1) in case of a P variant in the family, all first-degree relatives of the proband are recommended to undergo genetic testing with subsequent cardiac testing only if they have the familial variant; (2) in case of an LP variant in the family, all first-degree relatives of the proband are recommended to undergo both cardiac and genetic testing at the time of the first evaluation; or (3) in case of a gene-elusive family, first-degree relatives are recommended to undergo cardiac testing without genetic testing. This Dutch approach is in contrast to the 2023 European Society of Cardiology (ESC) Guidelines for the management of cardiomyopathies, which recommend releasing LP variant carriers from cardiac testing if they do not have the familial variant (i.e. LP screening recommendations are identical to P screening recommendations) [3]. If this approach is confirmed to be safe, this would save many resources given the large number of LP variants identified. However, no research to date has systematically evaluated the yield of our Dutch DCM family screening approach. In this study, we aimed to describe the yield of DCM family screening stratified by classification of the familial genetic variant (Fig. 1).

Methods

Study population

For this retrospective study, we recruited relatives at risk of DCM visiting the dedicated cardiogenetic outpatient clinic at the Bergman Clinics in Bilthoven, the Netherlands for family screening between 2011 and 2022. All relatives underwent standardised evaluation, as described below, designed with close ties to the University Medical Centre Utrecht in Utrecht, the Netherlands. This study followed the Code of Conduct and the Use of Data in Health Research and was approved by the local ethics board (protocol number 19-115/C and UCC-UNRAVEL #12-387) [5].

Clinical evaluation

Detailed clinical information regarding demographics, symptoms, cardiovascular risk factors and genetic/cardiac testing was obtained for every participant by review of medical records, clinical evaluation and patient history. Symptoms were divided into arrhythmic symptoms (composite of palpitations, presyncope and syncope), HF symptoms (composite of dyspnoea and oedema) and chest pain.
Pedigree analysis was performed by genetic counsellors or clinical geneticists with special interest in DCM. Relatives were divided based on their relationship to the proband as first- and second-degree relatives; first-degree relatives were additionally divided into parents, siblings and children of the proband. Variant adjudication was done by an expert laboratory geneticist (DD) based on the current consensus statement of the American College of Medical Genetics and Genomics [6]. Of note, in the period 2011–2022, different gene panels were used for genetic testing. Therefore, probands were considered as ‘gene-elusive’ if they were tested for all genes with definite, strong and moderate evidence for DCM [7] and proved not to have an LP/P variant. In case the proband was not tested for all genes with definite, strong and moderate evidence for DCM (and did not have an LP/P variant in the genes tested), the proband was considered as ‘genetic testing not performed’.

Study outcomes

The primary endpoint was the development of DCM. Based on the most recent guidelines, [3, 8, 9] we used left ventricular ejection fraction (LVEF) < 50% to make the DCM diagnosis of non-ischaemic aetiology, as risk stratification and HF treatment are recommended to be initiated at this cut-off value.
The secondary endpoint was the occurrence of major adverse cardiovascular events (MACE), defined as hospitalisation for HF, occurrence of sustained ventricular tachycardia (lasting ≥ 30 s at ≥ 100 beats/min or requiring cardioversion), ventricular fibrillation/flutter or appropriate implantable-cardioverter defibrillator (ICD) intervention.

Statistical analysis

Nominal variables are expressed as number (%) and continuous variables as mean ± standard deviation or median (interquartile range; IQR), as appropriate. Survival free from primary and secondary endpoints was visualised using Kaplan-Meier curves, and differences between variant classification were compared using the log-rank test. A p-value < 0.05 was considered to be statistically significant. Statistical analyses were performed using IBM SPSS Statistics for Windows, version 29.0, and R version 4.1.2 (Boston, MA, USA).

Results

Study population

Our study cohort consisted of 358 relatives from 210 families. Their baseline characteristics are shown in Tab. 1. Mean age at the first evaluation was 44.4 ± 15.9 years, and 185 (52%) were female. Most relatives (n = 238; 66%) were first-degree relative of the proband. Of the remaining 120 subjects (34%) who were second-degree relatives of the proband, 109 (91%) were from a family with a causative LP/P DCM variant, whereas the remaining 11 (9%) had their own first-degree relative with a DCM or sudden cardiac death diagnosis and hence an indication for screening.
Table 1
Baseline characteristics of study population
 
Phenotype of relative at baseline
Study cohort
(N = 358)
No DCM
(n = 326)
DCM diagnosis
(n = 32)
P-value
Demographic data
Female
185 (52)
167 (51)
18 (56)
   0.587
Age at baseline, years
44.4 ± 15.9
43.9 ± 15.8
50.3 ± 16.7
   0.023
Follow-up time, years
  5.0 (3.2–7.4)
  5.0 (3.3–7.6)
 5.9 (3.2–7.0)
   0.312
Relationship to proband
   
   0.003
Sibling
 82 (23)
 68 (21)
14 (44)
 
Child
 38 (11)
 32 (10)
 6 (19)
 
Parent
118 (33)
110 (34)
 8 (25)
 
≥ Second-degree family member
120 (34)
116 (36)
 4 (13)
 
Genotype of relative
   
< 0.001
P variant carrier
 49 (14)
 40 (12)
 9 (28)
 
LP variant carrier
 98 (27)
 82 (25)
16 (50)
 
Not harbouring familial variant
128 (36)
128 (39)
 0 (0)
 
Gene-elusive proband
 22 (6)
 18 (6)
 4 (13)
 
Genetic testing not performed
 61 (17)
 58 (18)
 3 (9)
 
G + gene variants found in relativea
   
   0.023
   TTN
 82 (23)
 68 (21)
14 (44)
 
   LMNA
  9 (3)
  9 (3)
 0 (0)
 
   PLN
  8 (2)
  7 (2)
 1 (3)
 
   FLNC
 10 (3)
 10 (3)
 0 (0)
 
   MYH7
  6 (2)
  4 (1)
 2 (6)
 
   Other variants
 28 (8)
 23 (7)
 5 (16)
 
   > 1 variant
  4 (1)
  1 (0)
 3 (9)
 
Symptoms at baselineb
110 (31)
 90 (28)
20 (63)
< 0.001
Arrhythmic symptoms
 35 (10)
 30 (9)
 5 (16)
   0.379
Heart failure symptoms
 38 (11)
 29 (9)
 9 (28)
   0.004
Chest pain
 41 (11)
 32 (10)
 9 (28)
   0.007
Risk factors
    
Smoking
   
   0.468
   Current
 33 (9)
 28 (9)
 5 (16)
 
   Past
 26 (7)
 23 (7)
 3 (9)
 
   Never
146 (41)
136 (42)
10 (31)
 
Hypercholesterolaemia
 63 (18)
 56 (17)
 7 (22)
   0.871
Hypertension
174 (49)
160 (49)
14 (44)
   0.964
Diabetes
157 (44)
139 (43)
18 (56)
   0.731
Data are n (%), mean ± standard deviation or median (interquartile range)
aFive most frequently found G + variants in relatives. Other variants are visualised in Figure S1 in the Electronic Supplementary Material. When relative had > 1 G + variant, this is defined as > 1 variant
bArrhythmic symptoms are defined as syncope, presyncope and palpitations; heart failure symptoms are defined as dyspnoea and oedema
P pathogenic, LP likely pathogenic, TTN titin, LMNA lamin A/C, PLN phospholamban, FLNC filamin C, MYH7 beta-myosin heavy-chain
Genotype distribution is shown in Figure S1 in the Electronic Supplementary Material. An LP/P variant was found in 147 of the 358 relatives (41%), with titin (TTN) being the most commonly affected gene (82/147; 56%). Of the 128 relatives without a familial LP/P variant, 98 (77%) were relatives of a proband with an LP variant. Overall, most relatives were asymptomatic and came to attention because of screening (n = 248; 69%), whereas the remaining 110 relatives (31%) reported arrhythmic symptoms (n = 35/110; 32%), HF symptoms (n = 38/110; 35%) and chest pain (n = 41/110; 37%) at a comparable rate.

First clinical evaluation

Figure 2 depicts the flowchart of the study population. At the first evaluation, 32 relatives (9%) were diagnosed with DCM. As shown in Tab. 1, relatives with DCM at the first evaluation were significantly older than those without a DCM diagnosis (mean age: 50.3 ± 16.7 years vs 43.9 ± 15.8 years; p = 0.023), whereas sex was equally distributed between the 2 groups (females: 56% vs 51%; p = 0.587). Additionally, relatives with DCM were significantly more likely to be symptomatic (20 (63%) vs 90 (28%); p < 0.001) and harbour the familial LP/P variant (25 (78%) vs 125 (37%); p < 0.001) (Tab. 1). Consequently, the yield of screening for DCM in symptomatic relatives was significantly higher (n = 20/110; 18%) compared with asymptomatic relatives (n = 12/248; 5%; p < 0.001). Of note, 2/32 relatives (6%) who were diagnosed with DCM at baseline had experienced a previous HF hospitalisation (Tab. 2), stressing the importance of timely initiation of family screening.
Table 2
Characteristics of relatives with MACE
Relative
Sex
Phenotype at baseline
Age at MACE, years
Variant classification and gene
MACE
Time from first visit until MACE, years
Time from diagnosis until MACE, years
Cardiovascular co-morbidities
Symptomatic at baseline
1
F
Diagnosed with DCM
53.6
P; TTN
HF
0
0
Smoking: current
Yes, heart failure symptoms
HT: no
HC: no
Diabetes: no
2
F
Diagnosed with DCM
53.5
P; TTN
HF
0
0
Smoking: never
Yes, heart failure symptoms
HT: no
HC: no
Diabetes: no
3
F
No DCM
45.7
P; TNNI3
OHCA VF
5.8
0
Smoking: past
Yes, chest pain
HT: no
HC: yes
Diabetes: no
4
M
No DCM
65.9
P; TNNI3
VT
4.4
1.3
Smoking: past
No
HT: no
HC: no
Diabetes: no
5
M
Diagnosed with DCM
55.6
GE
OHCA VF
5.7
5.7
Smoking: never
No
HT: yes
HC: no
Diabetes: no
MACE major adverse cardiovascular events, P pathogenic, TTN titin, TNNI3 troponin I3, GE gene-elusive, HF heart failure, OHCA VF out-of-hospital cardiac arrest based on ventricular fibrillation, VT ventricular tachycardia, HT hypertension, HC hypercholesterolaemia
Figure 3a visualises the yield of screening stratified by age. Of note, we diagnosed 1 relative with DCM at 4 years of age. This relative was first evaluated at the age of 4 years after her sister (proband) died of DCM at the age of 8 months. Further family screening identified DCM in both her father and brother. Genetic testing remained negative in this family, despite extensive whole-exome sequencing in multiple family members diagnosed with DCM.

Genotype-specific yield of cardiac screening at baseline

Figure 3b shows the yield of screening stratified by genetic testing results. As shown, relatives with the P variant (n = 9/49; 18%) or LP variant (n = 16/98; 16%) or those from a gene-elusive family (n = 4/22; 18%) had comparable rates of DCM diagnosis at the first evaluation. In contrast, none of the 128 relatives without the familial LP/P variant had DCM at the baseline evaluation (0%; p < 0.001).

Progression towards dilated cardiomyopathy

Among 326 relatives without DCM at the first evaluation, 97 (30%) had ≥ 1 follow-up evaluation (Fig. 2, and see Table S1 in Electronic Supplementary Material). As expected, relatives who had undergone genetic testing and proved to be negative for the familial LP/P variant were more likely to have no follow-up evaluation. In contrast, those who had HF symptoms were more likely to have follow-up data available. Relatives without the familial variant who were followed up underwent genetic testing at a follow-up evaluation.
These 97 relatives were followed for a median duration of 4.9 years (IQR: 3.3–7.4). Overall, 10 relatives (10%) progressed to DCM, with a median time to DCM diagnosis of 3.7 years (IQR: 3.1–5.5) (Fig. 4a). As shown in Table S2 in the Electronic Supplementary Material, relatives who progressed to DCM were more likely to be a sibling of the proband (4 (40%) vs 18 (21%); p = 0.038) and had a longer follow-up time (6.4 years; IQR: 5.5–8.8 vs 4.2 years; IQR: 3.0–7.1; p = 0.026) compared with those without DCM during follow-up.

Genotype-specific yield of cardiac screening during follow-up

Figure 4b shows the progression towards DCM stratified by genotype during follow-up. Relatives carrying the familial P variant progressed fastest to DCM (7/23 relatives; median time to diagnosis 3.6 years; IQR: 2.5–4.8), followed by relatives carrying the familial LP variant (2/39 relatives; time to diagnosis 3.6 and 4.4 years, respectively) and relatives from gene-elusive families (1/18 relatives; time to diagnosis: 6.0 years; p = 0.010). Relatives without the familial LP/P variant did not develop DCM during follow-up. These relatives had had genetic testing done at a follow-up evaluation.

Occurrence of major adverse cardiovascular events

As shown in Tab. 2, 5 of the 358 relatives (1%) experienced MACE. As previously mentioned, MACE already occurred in 2 relatives (40%) prior to their first evaluation (relatives 1 and 2 in Tab. 2): they had been previously hospitalised for HF and were proven carriers of the familial P TTN variant. Relative 3 in Tab. 2 carried a P troponin I3 (TNNI3) variant, was not diagnosed with DCM at baseline and subsequently withdrew from follow-up evaluation. After 5.8 years, she presented with an out-of-hospital cardiac arrest. During the subsequent hospitalisation, an echocardiogram showed an LVEF of 28%. Her relative (relative 4 in Tab. 2) carried the same variant and was not diagnosed with DCM at baseline. During follow-up evaluation, he progressed to DCM and experienced ventricular tachycardia (cycle length: 353 ms) 1.3 years after DCM diagnosis. Subsequently, he received an ICD for secondary prevention. Relative 5 was diagnosed with DCM at baseline (LVEF 45%). During follow-up, he had an out-of-hospital cardiac arrest from which he was successfully resuscitated.

Discussion

The genetic era has led to an increasing number of relatives at risk of DCM coming to clinical attention. To the best of our knowledge, this study is the first to evaluate the yield of clinical DCM diagnosis and the possible optimisation of family screening for DCM in the Netherlands.
This study has several interesting results. First, the yield of screening at both baseline and after 5 years of follow-up was ~10%. Additionally, an age-related penetrance of DCM was observed. The yield was notably low in those < 20 years of age, with only 1 relative diagnosed with DCM who also had a proband diagnosed at infancy. This is in line with the results of a previous study [10] and implies that screening of relatives may be initiated at > 20 years of age unless the proband in the family was diagnosed before or during adolescence or an LP/P variant with known paediatric DCM onset is identified in the family [11].
Second, relatives without the LP/P familial variant did not have DCM at baseline, nor progression towards DCM during follow-up. These results are in line with a recent Danish study [12] and add to the body of evidence that relatives from LP families should first be offered genetic testing and can safely be discharged from cardiac screening when genetic testing proves to be negative (unless they are symptomatic). This also suggests that the 2023 ESC Guidelines for the management of cardiomyopathies may be safely implemented in the Netherlands.
Third, the baseline yield of DCM diagnosis in relatives of gene-elusive probands was unexpectedly high and comparable to those carrying an LP/P variant. As some of our cohort participants were relatives who received their genetic testing results more than a decade ago, this likely included probands who did not undergo genetic testing with the comprehensive panels and techniques we are currently offering. It is well known that updating genetic testing in the proband is beneficial in identifying the familial genetic variant [13, 14]. We therefore deem it likely that repeated genetic testing (which was not available for this study), would have identified an LP/P variant in a proportion of these families. This again reinforces the importance of updating genetic testing in DCM evaluation and shows that gene-elusive families may not be considered as gene-elusive in the future.
Last, our study shows that adherence to family screening ensures the diagnosis of DCM in all relatives prior to the occurrence of MACE, which is in line with previous reports (see Table S3 in Electronic Supplementary Material [10, 12, 1519]) and family screening recommendations for other cardiomyopathies [3, 2025]. Although this is reassuring, there is an increasing body of evidence suggesting that the clinical course of DCM is gene-specific, suggesting that gene-specific family screening algorithms may be beneficial [11, 2630].

Study limitations and future perspectives

In this study population, we cannot exclude selection bias. For example, only 8 relatives carried the phospholamban (PLN) p.Arg14del variant, whereas a higher incidence was expected considering it is a Dutch founder variant. This could be explained by direct referral of PLN relatives to the University Medical Centre Utrecht rather than the Bergman Clinics because of its arrhythmogenic nature [27].
Next, the family size of relatives in our study ranged from 1 to 11 subjects. These large families could have skewed our results. Additionally, the study population consisted of only 14 relatives younger than 20 years since the Bergman Clinics did not routinely perform screening in paediatric subjects. Furthermore, we cannot rule out that relatives who were older and/or symptomatic were more likely to present for family screening, thereby leading to selection bias.
Moreover, the number of relatives from gene-elusive probands in our study was low, and the yield of screening in these individuals should be interpreted with caution. Last, it would have been of interest to investigate the gene-specific yield of family screening, as it is increasingly recognised that the clinical disease course is gene-specific. It will require large multicentre efforts to collect enough variant carriers per gene for meaningful analyses.

Conclusion

We evaluated the yield of family screening in relatives at risk of developing DCM. We showed that the ‘genetic testing first’ approach currently used for families with a P variant is also good clinical practice for families with an LP variant, as proposed in the 2023 ESC Guidelines for the management of cardiomyopathies. This will lower the burden on resources in Dutch outpatient clinics and hospitals and help allocate resources to those who are most likely to benefit from cardiac care.

Funding

A.S. J. M. te Riele is supported by a grant from the Netherlands Organisation for Health Research and Development (ZonMw; Off Road 2021 FUEL-cardiomyopathy) and the HORIZON programme (EU Pathfinder Cardiogenomics).

Declarations

Conflict of interest

I.P. Thierry, S.A. Muller, A.F. Baas, D. Dooijes, R.L.E. van Loon, A.E. Schoemaker, M.I.F.J. Oerlemans, H.F. Baars, R.J. Hassink, F.W. Asselbergs and J.P. van Tintelen declare that they have no competing interests. A.S.J.M. te Riele is a consultant for Tenaya Therapeutics, BioMarin and Rocket Pharmaceuticals for unrelated work. P. van der Harst is the Editor-in-Chief of the Netherlands Heart Journal.

Ethical standards

For this article no studies with human participants or animals were performed by any of the authors. All studies mentioned were in accordance with the ethical standards indicated in each case.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Onze productaanbevelingen

Netherlands Heart Journal

Het Netherlands Heart Journal wordt uitgegeven in samenwerking met de Nederlandse Vereniging voor Cardiologie. Het tijdschrift is Engelstalig en wordt gratis beschikbaa ...

Literatuur
1.
go back to reference Sammani A, Baas AF, Asselbergs FW, Te Riele ASJM. Diagnosis and risk prediction of dilated cardiomyopathy in the era of big data and genomics. J Clin Med. 2021;10:921.CrossRefPubMedPubMedCentral Sammani A, Baas AF, Asselbergs FW, Te Riele ASJM. Diagnosis and risk prediction of dilated cardiomyopathy in the era of big data and genomics. J Clin Med. 2021;10:921.CrossRefPubMedPubMedCentral
2.
go back to reference Verdonschot JAJ, Hazebroek MR, Krapels IPC, et al. Implications of genetic testing in dilated cardiomyopathy. Circ Genom Precis Med. 2020;13:476–87.CrossRefPubMed Verdonschot JAJ, Hazebroek MR, Krapels IPC, et al. Implications of genetic testing in dilated cardiomyopathy. Circ Genom Precis Med. 2020;13:476–87.CrossRefPubMed
3.
go back to reference Arbelo E, Protonotarios A, Gimeno JR, et al. 2023 ESC guidelines for the management of cardiomyopathies. Eur Heart J. 2023;44:3503–626.CrossRefPubMed Arbelo E, Protonotarios A, Gimeno JR, et al. 2023 ESC guidelines for the management of cardiomyopathies. Eur Heart J. 2023;44:3503–626.CrossRefPubMed
5.
go back to reference Sammani A, Jansen M, Linschoten M, et al. UNRAVEL: big data analytics research data platform to improve care of patients with cardiomyopathies using routine electronic health records and standardised biobanking. Neth Heart J. 2019;27:426–34.CrossRefPubMedPubMedCentral Sammani A, Jansen M, Linschoten M, et al. UNRAVEL: big data analytics research data platform to improve care of patients with cardiomyopathies using routine electronic health records and standardised biobanking. Neth Heart J. 2019;27:426–34.CrossRefPubMedPubMedCentral
6.
go back to reference Richards S, Aziz N, Bale S, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the american college of medical genetics and genomics and the association for molecular pathology. Genet Med. 2015;17:405–24.CrossRefPubMedPubMedCentral Richards S, Aziz N, Bale S, et al. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the american college of medical genetics and genomics and the association for molecular pathology. Genet Med. 2015;17:405–24.CrossRefPubMedPubMedCentral
8.
go back to reference McDonagh TA, Metra M, Adamo M, et al. 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42:3599–726.CrossRefPubMed McDonagh TA, Metra M, Adamo M, et al. 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42:3599–726.CrossRefPubMed
9.
go back to reference Zeppenfeld K, Tfelt-Hansen J, de Riva M, et al. 2022 ESC guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death. Eur Heart J. 2022;43:3997–4126.CrossRefPubMed Zeppenfeld K, Tfelt-Hansen J, de Riva M, et al. 2022 ESC guidelines for the management of patients with ventricular arrhythmias and the prevention of sudden cardiac death. Eur Heart J. 2022;43:3997–4126.CrossRefPubMed
10.
go back to reference Huggins GS, Kinnamon DD, Haas GJ, et al. Prevalence and cumulative risk of familial idiopathic dilated cardiomyopathy. JAMA. 2022;327:454–63.CrossRefPubMedPubMedCentral Huggins GS, Kinnamon DD, Haas GJ, et al. Prevalence and cumulative risk of familial idiopathic dilated cardiomyopathy. JAMA. 2022;327:454–63.CrossRefPubMedPubMedCentral
11.
go back to reference De Frutos F, Ochoa JP, Navarro-Peñalver M, et al. Natural history of MYH7-related dilated cardiomyopathy. J Am Coll Cardiol. 2022;80:1447–61.CrossRefPubMed De Frutos F, Ochoa JP, Navarro-Peñalver M, et al. Natural history of MYH7-related dilated cardiomyopathy. J Am Coll Cardiol. 2022;80:1447–61.CrossRefPubMed
12.
go back to reference Vissing CR, Espersen K, Mills HL, et al. Family screening in dilated cardiomyopathy: prevalence, incidence, and potential for limiting follow-up. JACC Heart Fail. 2022;10:792–803.CrossRefPubMed Vissing CR, Espersen K, Mills HL, et al. Family screening in dilated cardiomyopathy: prevalence, incidence, and potential for limiting follow-up. JACC Heart Fail. 2022;10:792–803.CrossRefPubMed
13.
go back to reference Stroeks SLVM, Hellebrekers DMEI, Claes GRF, et al. Clinical impact of re-evaluating genes and variants implicated in dilated cardiomyopathy. Genet Med. 2021;23:2186–93.CrossRefPubMedPubMedCentral Stroeks SLVM, Hellebrekers DMEI, Claes GRF, et al. Clinical impact of re-evaluating genes and variants implicated in dilated cardiomyopathy. Genet Med. 2021;23:2186–93.CrossRefPubMedPubMedCentral
14.
go back to reference Schmidlen TJ, Bristow SL, Hatchell KE, Esplin ED, Nussbaum RL, Haverfield EV. The impact of Proband indication for genetic testing on the uptake of cascade testing among relatives. Front Genet. 2022;13:867226.CrossRefPubMedPubMedCentral Schmidlen TJ, Bristow SL, Hatchell KE, Esplin ED, Nussbaum RL, Haverfield EV. The impact of Proband indication for genetic testing on the uptake of cascade testing among relatives. Front Genet. 2022;13:867226.CrossRefPubMedPubMedCentral
15.
go back to reference Hey TM, Rasmussen TB, Madsen T, et al. Clinical and genetic investigations of 109 index patients with dilated cardiomyopathy and 445 of their relatives. Circ Heart Fail. 2020;13:e6701.CrossRefPubMed Hey TM, Rasmussen TB, Madsen T, et al. Clinical and genetic investigations of 109 index patients with dilated cardiomyopathy and 445 of their relatives. Circ Heart Fail. 2020;13:e6701.CrossRefPubMed
16.
go back to reference Gimeno JR, Lacunza J, García-Alberola A, et al. Penetrance and risk profile in inherited cardiac diseases studied in a dedicated screening clinic. Am J Cardiol. 2009;104:406–10.CrossRefPubMed Gimeno JR, Lacunza J, García-Alberola A, et al. Penetrance and risk profile in inherited cardiac diseases studied in a dedicated screening clinic. Am J Cardiol. 2009;104:406–10.CrossRefPubMed
17.
go back to reference Michels VV, Moll PP, Miller FA, et al. The frequency of familial dilated cardiomyopathy in a series of patients with idiopathic dilated cardiomyopathy. N Engl J Med. 1992;326:77–82.CrossRefPubMed Michels VV, Moll PP, Miller FA, et al. The frequency of familial dilated cardiomyopathy in a series of patients with idiopathic dilated cardiomyopathy. N Engl J Med. 1992;326:77–82.CrossRefPubMed
18.
go back to reference Michels VV, Olson TM, Miller FA, et al. Frequency of development of idiopathic dilated cardiomyopathy among relatives of patients with idiopathic dilated cardiomyopathy. Am J Cardiol. 2003;91:1389–92.CrossRefPubMed Michels VV, Olson TM, Miller FA, et al. Frequency of development of idiopathic dilated cardiomyopathy among relatives of patients with idiopathic dilated cardiomyopathy. Am J Cardiol. 2003;91:1389–92.CrossRefPubMed
19.
go back to reference Fundikira LS, Julius J, Chillo P, et al. Yield of family screening in dilated cardiomyopathy within low-income setting: Tanzanian experience. Cardiovasc J Afr. 2023;34:1–6.PubMed Fundikira LS, Julius J, Chillo P, et al. Yield of family screening in dilated cardiomyopathy within low-income setting: Tanzanian experience. Cardiovasc J Afr. 2023;34:1–6.PubMed
20.
go back to reference Towbin JA, McKenna WJ, Abrams DJ, et al. 2019 HRS expert consensus statement on evaluation, risk stratification, and management of arrhythmogenic cardiomyopathy. Heart Rhythm. 2019;16:e301–e72.CrossRefPubMed Towbin JA, McKenna WJ, Abrams DJ, et al. 2019 HRS expert consensus statement on evaluation, risk stratification, and management of arrhythmogenic cardiomyopathy. Heart Rhythm. 2019;16:e301–e72.CrossRefPubMed
21.
go back to reference Ommen SR, Mital S, Burke MA, et al. 2020 AHA/ACC guideline for the diagnosis and treatment of patients with hypertrophic cardiomyopathy: executive summary: a report of the american college of cardiology/American heart association joint committee on clinical practice guidelines. Circulation. 2020;142:e533–e7.PubMed Ommen SR, Mital S, Burke MA, et al. 2020 AHA/ACC guideline for the diagnosis and treatment of patients with hypertrophic cardiomyopathy: executive summary: a report of the american college of cardiology/American heart association joint committee on clinical practice guidelines. Circulation. 2020;142:e533–e7.PubMed
22.
go back to reference Van Velzen HG, Schinkel AFL, Baart SJ, et al. Outcomes of contemporary family screening in hypertrophic cardiomyopathy. Circ Genom Precis Med. 2018;11:e1896.CrossRefPubMed Van Velzen HG, Schinkel AFL, Baart SJ, et al. Outcomes of contemporary family screening in hypertrophic cardiomyopathy. Circ Genom Precis Med. 2018;11:e1896.CrossRefPubMed
23.
go back to reference Muller SA, Gasperetti A, Bosman LP, et al. Individualized family screening for arrhythmogenic right ventricular cardiomyopathy. J Am Coll Cardiol. 2023;82:214–25.CrossRefPubMed Muller SA, Gasperetti A, Bosman LP, et al. Individualized family screening for arrhythmogenic right ventricular cardiomyopathy. J Am Coll Cardiol. 2023;82:214–25.CrossRefPubMed
24.
go back to reference Garcia-Pavia P, Rapezzi C, Adler Y, et al. Diagnosis and treatment of cardiac amyloidosis: a position statement of the ESC working group on myocardial and pericardial diseases. Eur Heart J. 2021;42:1554–68.CrossRefPubMedPubMedCentral Garcia-Pavia P, Rapezzi C, Adler Y, et al. Diagnosis and treatment of cardiac amyloidosis: a position statement of the ESC working group on myocardial and pericardial diseases. Eur Heart J. 2021;42:1554–68.CrossRefPubMedPubMedCentral
25.
go back to reference Muller SA, Peiró-Aventin B, Biagioni G, et al. Evaluation of the 2021 ESC recommendations for family screening in hereditary transthyretin cardiac amyloidosis. Eur J Heart Fail. 2024;26:2025–34.PubMed Muller SA, Peiró-Aventin B, Biagioni G, et al. Evaluation of the 2021 ESC recommendations for family screening in hereditary transthyretin cardiac amyloidosis. Eur J Heart Fail. 2024;26:2025–34.PubMed
26.
go back to reference Akhtar MM, Lorenzini M, Pavlou M, et al. Association of left ventricular systolic dysfunction among carriers of truncating variants in filamin C with frequent ventricular arrhythmia and end-stage heart failure. JAMA Cardiol. 2021;6:891–901.CrossRefPubMed Akhtar MM, Lorenzini M, Pavlou M, et al. Association of left ventricular systolic dysfunction among carriers of truncating variants in filamin C with frequent ventricular arrhythmia and end-stage heart failure. JAMA Cardiol. 2021;6:891–901.CrossRefPubMed
27.
go back to reference Hof IE, van der Heijden JF, Kranias EG, et al. Prevalence and cardiac phenotype of patients with a phospholamban mutation. Neth Heart J. 2019;27:64–9.CrossRefPubMed Hof IE, van der Heijden JF, Kranias EG, et al. Prevalence and cardiac phenotype of patients with a phospholamban mutation. Neth Heart J. 2019;27:64–9.CrossRefPubMed
28.
go back to reference Akhtar MM, Lorenzini M, Cicerchia M, et al. Clinical phenotypes and prognosis of dilated cardiomyopathy caused by truncating variants in the TTN gene. Circ Heart Fail. 2020;13:e6832.CrossRefPubMed Akhtar MM, Lorenzini M, Cicerchia M, et al. Clinical phenotypes and prognosis of dilated cardiomyopathy caused by truncating variants in the TTN gene. Circ Heart Fail. 2020;13:e6832.CrossRefPubMed
29.
go back to reference Verdonschot JAJ, Merlo M, Dominguez F, et al. Phenotypic clustering of dilated cardiomyopathy patients highlights important pathophysiological differences. Eur Heart J. 2021;42:162–74.CrossRefPubMed Verdonschot JAJ, Merlo M, Dominguez F, et al. Phenotypic clustering of dilated cardiomyopathy patients highlights important pathophysiological differences. Eur Heart J. 2021;42:162–74.CrossRefPubMed
30.
go back to reference Stroeks SLVM, Lunde IG, Hellebrekers DMEI, et al. Prevalence and clinical consequences of multiple pathogenic variants in dilated cardiomyopathy. Circ Genom Precis Med. 2023;16:e3788.CrossRefPubMed Stroeks SLVM, Lunde IG, Hellebrekers DMEI, et al. Prevalence and clinical consequences of multiple pathogenic variants in dilated cardiomyopathy. Circ Genom Precis Med. 2023;16:e3788.CrossRefPubMed
Metagegevens
Titel
Yield of family screening for dilated cardiomyopathy: 10-year experience at a multidisciplinary cardiogenetic outpatient clinic
Auteurs
Isabelle P. Thierry
Steven A. Muller
Annette F. Baas
Dennis Dooijes
R. Laura E. van Loon
Angela E. Schoemaker
Pim van der Harst
Marish I. F. J. Oerlemans
Hubert F. Baars
Rutger J. Hassink
Folkert W. Asselbergs
J. Peter van Tintelen
Anneline S. J. M. te Riele
Publicatiedatum
20-01-2025
Uitgeverij
BSL Media & Learning
Gepubliceerd in
Netherlands Heart Journal / Uitgave 2/2025
Print ISSN: 1568-5888
Elektronisch ISSN: 1876-6250
DOI
https://doi.org/10.1007/s12471-024-01924-1