Abstract

Aims

Transthyretin amyloidosis (ATTR amyloidosis) is a heterogeneous disorder with cardiac, neurologic, and mixed phenotypes. We describe the phenotypic and genotypic profiles of this disease in continental Western Europe as it appears from the Transthyretin Amyloidosis Survey (THAOS).

Methods and results

THAOS is an ongoing, worldwide, longitudinal, observational survey established to study differences in presentation, diagnosis, and natural history in ATTR amyloidosis subjects. At data cut-off, 1411 symptomatic subjects from nine continental Western European countries were enrolled in THAOS [1286 hereditary (ATTRm) amyloidosis; 125 wild-type ATTR (ATTRwt) amyloidosis]. Genotypes and phenotypes varied notably by country. Four mutations (Val122Ile, Leu111Met, Thr60Ala, and Ile68Leu), and ATTRwt, were associated with a mainly cardiac phenotype showing symmetric left ventricular (LV) hypertrophy, normal diastolic LV dimensions and volume, and mildly depressed LV ejection fraction (LVEF). Morphologic and functional abnormalities on echocardiogram were significantly more severe in subjects with cardiac (n‘= 210), compared with a mixed (n = 298), phenotype: higher median (Q1–Q3) interventricular septal thickness [18 (16–21) vs. 16 (13–20) mm; P = 0.0006]; and more frequent incidence of LVEF <50% (38.1 vs. 17.5%; P = 0.0008). Subjects with cardiac mutations or ATTRwt (or cardiac or mixed phenotype) had a lower survival rate than subjects in other genotype (or the neurologic phenotype) categories (P < 0.0001, for both).

Conclusion

ATTR amyloidosis genotypes and phenotypes are highly heterogeneous in continental Western Europe. A geographic map of the different disease profiles and awareness that a subset of subjects have a dominant cardiac phenotype, mimicking hypertrophic cardiomyopathy, at presentation can facilitate the clinical recognition of this underdiagnosed disease.

Trial registration

ClinicalTrials.gov: NCT00628745.

See the editorial comment for this article ‘Transthyretin amyloidosis in Western Europe: a snapshot from the THAOS registry and a call for further perspectives’, by Enrico Ammirati and Omar F. AbouEzzeddine, https://doi.org/10.1093/eurheartj/ehz205.

Introduction

Transthyretin amyloidosis (ATTR amyloidosis) is a group of severe diseases with a broad spectrum of genotypes and heterogeneous phenotypes caused by transthyretin (TTR) gene mutations. ATTR amyloidosis is characterized by the deposition of amyloid fibrils in the heart, peripheral nerves, and other organs.1  ,  2 At the level of the heart, insoluble misfolded TTR proteins infiltrate the extracellular matrix, increasing ventricular wall thickness and stiffness of the myocardium, causing an increase in intraventricular pressure with minimal increases in volume.2 Patients display a phenotype of hypertrophic cardiomyopathy, associated with heart failure and a poor prognosis.2  ,  3 This pattern and symptoms are non-specific and frequently observed in other cardiac diseases, such as hypertensive heart disease or heart failure with preserved ejection fraction.

ATTR amyloidosis has two distinct forms: wild-type ATTR (ATTRwt) amyloidosis (also known as senile systemic amyloidosis) and hereditary ATTR (ATTRm) amyloidosis.4 There are more than 100 known pathogenic mutations in the TTR gene5  ,  6 including Val30Met, the first described pathogenic mutation,7 which is endemic in Portugal, Sweden, Cyprus, and Majorca.8

While TTR mutations may be associated with a specific phenotype,1  ,  2  ,  9  ,  10 phenotypes may also be influenced by other factors, for example, patient’s country of origin. In Portuguese patients with Val30Met, symptoms emerge in the third decade (defined as early-onset: age <50 years), while in Val30Met patients from other European countries symptoms emerge in the seventh decade (late-onset: age >50 years), and often with a mixed phenotype.11–13 Other factors such as age, sex, fibril type, and maternal inheritance may also influence phenotype.2  ,  11  ,  14

A patient’s prognosis varies depending on their mutation, age at disease onset, phenotype (cardiac and/or neurologic), and any delay in diagnosis.8 Misdiagnosis may, of course, lead to inappropriate cardiac management of the condition.2 Recent European Society of Cardiology (ESC) guidelines recommend the consideration of a diagnosis of ATTR-CM in patients with hypertrophic cardiomyopathy.16 Therefore, heterogeneity in the frequency of different mutations and phenotypes, age of onset, and prognosis between European countries8  ,  10 emphasizes the need to provide more clinical and prognostic data to European cardiologists to increase their awareness and diagnostic skills. With disease modifying treatments being developed,15  ,  17–19 it is even more important to improve our understanding of the distribution of patients and of areas of potential underdiagnosis.

Our aims were to investigate genotype distribution, cardiac profile, and the different phenotypes of ATTR amyloidosis observed in Europe using the Transthyretin Amyloidosis Outcomes Survey (THAOS)20 and to produce clinical and biological cardiac disease profiles of patients with ATTR amyloidosis.

Methods

Source data

THAOS was established in 2007 and is the largest ongoing, worldwide, longitudinal, observational survey created to study differences in disease presentation, diagnosis, and natural history in a large, geographically dispersed, heterogeneous patient population, and to generate descriptive safety summaries in treated subjects (ClinicalTrials.gov: NCT00628745).20 All study sites received ethical or institutional review board approval prior to subject enrolment, and each subject provided written informed consent. The study followed the International Conference on Harmonisation Good Clinical Practice guidelines and the principles of the Declaration of Helsinki. Data were collected during routine clinical practice at the discretion of the investigator and include cardiac and neurologic findings, renal function assessments, quality of life assessments, hospitalizations, medications, and transplant history.20 THAOS is sponsored by Pfizer, which provides financial support for the development and maintenance of the database and compensation to the survey sites for data collection.20

Study population and assessments

All symptomatic subjects with confirmed ATTRwt or ATTRm enrolled in the THAOS registry in European countries were included in the analysis. Baseline electrocardiograph data and interventricular septal thickness measurements were collected for the THAOS registry and these data were assessed with respect to subject’s geographical location, genotype, and baseline characteristics (all at time of enrolment in THAOS). Subjects were grouped by both genotype and phenotype. Genotype categories were: ATTRwt; mutations associated with cardiac disease (Val122Ile,21 Leu111Met,22 Thr60Ala,23 or Ile68Leu24); Val30Met mutation with early-onset disease (onset age <50 years); Val30Met mutation with late-onset disease (age ≥50 years); and all other mutations. Phenotype categories, based on clinical presentation at the time of inclusion in THAOS were: mainly neurologic [i.e. TTR-familial amyloid polyneuropathy (TTR-FAP)]; mainly cardiac (i.e. a cardiac phenotype); and mixed (cardiac + neurologic) (see Supplementary material online for further details).

Simple binary and continuous variables are shown using descriptive statistics. Differences in mean outcomes between genotype and phenotype groups were assessed for statistical significance by: analysis of variance, to calculate P-values by comparing means between groups for continuous variables; the Pearson χ2 test to calculate P-values for variables with cell counts >5; the Kruskal–Wallis test to calculate P-values by comparing medians between groups for continuous variables; and the Fisher’s exact test to calculate P-values for non-ordinal variables with cell counts ≤5. Follow-up data were obtained from the periodical, scheduled visits (with 6-month intervals). In cases in which no follow-up visits had been made at 1 year from the previous visit, the investigators from the centre enrolling the patient were invited to contact the patient (or relatives) by telephone to retrieve data on vital status. Survival (time to death) and heart transplant-free survival (time to death or heart transplant) were assessed by multivariable prognosis model and shown by the Kaplan–Meier survival curves with Cox proportional hazards model adjusted by age and sex.

Results

Subject demographics and genotype

As of January 2016, 1417 symptomatic subjects in nine European countries were enrolled in THAOS, all of these in continental Western Europe. Of these, there were 1411 symptomatic subjects across the nine countries with subject data (Table 1 and Figure 1 show the distribution across countries). Of the symptomatic subjects, 125 had ATTRwt [115 males (92.0%) and 10 females (8.0%)], and 1286 had ATTRm [677 males (52.6%) and 609 females (47.4%)]. There were 54 different TTR mutations represented in the population; 16 of these were shared by ≥5 subjects (Table 1).

Table 1

Phenotype and genotype by countrya

Germany (N = 125)Denmark (N = 23)Spain (N = 76)France (N = 94)Italy (N = 161)Portugal (N = 786)Sweden (N = 142)Totala (N = 1411)
Phenotype, n (%)
 Cardiac64 (51.2)18 (78.3)13 (17.1)13 (13.8)58 (36.0)25 (3.2)19 (13.4)210 (14.9)
 Cardiac + neurologic22 (17.6)2 (8.7)20 (26.3)39 (41.5)45 (28.0)135 (17.2)32 (22.5)298 (21.1)
 Neurologic39 (31.2)3 (13.0)43 (56.6)42 (44.7)58 (36.0)626 (79.6)91 (64.1)903 (64.0)
Genotype, n
 Val30Met240564277791281038
 Wild type5211335501125
 Ile68Leu1001260028
 Glu89Gln0010240025
 Phe64Leu0000190019
 Val122Ile0031220118
 Ser77Tyr0021500017
 Gly47Ala1100040015
 Val20Ile1200000012
 Ile107Val600500011
 Leu111Met0110000011
 Thr49Ala00009009
 Val28Met00020608
 Glu89Lys00511007
 His88Arg00001067
 DelVal12210400005
 Thr59Lys20003005
 Thr60Ala00000011
 All other genotypesb161213101550
Genotype category, n (%)
 Wild type52 (41.6)11 (47.8)3 (3.9)3 (3.2)55 (34.2)01 (0.7)125 (8.9)
 Cardiac mutationsc1 (0.80)11 (47.8)3 (3.9)13 (13.8)28 (17.4)02 (1.4)58 (4.1)
 Val30Met early-onset13 (10.4)031 (40.8)27 (28.7)3 (1.9)646 (82.2)39 (27.5)761 (53.9)
 Val30Met late-onset11 (8.8)025 (32.9)15 (16.0)4 (2.5)133 (16.9)89 (62.7)277 (19.6)
 Other non-cardiac48 (38.4)1 (4.4)14 (18.4)36 (38.3)71 (44.1)7 (0.9)11 (7.8)190 (13.5)
Germany (N = 125)Denmark (N = 23)Spain (N = 76)France (N = 94)Italy (N = 161)Portugal (N = 786)Sweden (N = 142)Totala (N = 1411)
Phenotype, n (%)
 Cardiac64 (51.2)18 (78.3)13 (17.1)13 (13.8)58 (36.0)25 (3.2)19 (13.4)210 (14.9)
 Cardiac + neurologic22 (17.6)2 (8.7)20 (26.3)39 (41.5)45 (28.0)135 (17.2)32 (22.5)298 (21.1)
 Neurologic39 (31.2)3 (13.0)43 (56.6)42 (44.7)58 (36.0)626 (79.6)91 (64.1)903 (64.0)
Genotype, n
 Val30Met240564277791281038
 Wild type5211335501125
 Ile68Leu1001260028
 Glu89Gln0010240025
 Phe64Leu0000190019
 Val122Ile0031220118
 Ser77Tyr0021500017
 Gly47Ala1100040015
 Val20Ile1200000012
 Ile107Val600500011
 Leu111Met0110000011
 Thr49Ala00009009
 Val28Met00020608
 Glu89Lys00511007
 His88Arg00001067
 DelVal12210400005
 Thr59Lys20003005
 Thr60Ala00000011
 All other genotypesb161213101550
Genotype category, n (%)
 Wild type52 (41.6)11 (47.8)3 (3.9)3 (3.2)55 (34.2)01 (0.7)125 (8.9)
 Cardiac mutationsc1 (0.80)11 (47.8)3 (3.9)13 (13.8)28 (17.4)02 (1.4)58 (4.1)
 Val30Met early-onset13 (10.4)031 (40.8)27 (28.7)3 (1.9)646 (82.2)39 (27.5)761 (53.9)
 Val30Met late-onset11 (8.8)025 (32.9)15 (16.0)4 (2.5)133 (16.9)89 (62.7)277 (19.6)
 Other non-cardiac48 (38.4)1 (4.4)14 (18.4)36 (38.3)71 (44.1)7 (0.9)11 (7.8)190 (13.5)
a

Not shown separately in table, but included in ‘Total’ column are: Belgium, three subjects with cardiac + neurologic phenotype including one subject each with Val30Met (early-onset), Glu54Leu, and Glu74Leu; Cyprus, one subject with neurologic phenotype, and Val30Met (early-onset). Thr60Ala is shown separately as it is a designated ‘cardiac mutation’.

b

All other genotypes with ≤3 subjects in total. These are genotypes Arg34Thr and Ser77Phe (three subjects each); Ala45Ser, Cys10Arg, Glu54Lys, Ile84Thr, Ser50Arg, Thr49Ile, Tyr116Ser, and Val71Ala (two subjects each); and Ala19Asp, Ala36Pro, Ala45Asp, Ala81Thr, Ala91Ser, Ala97Ser, Arg21Gln, Asp18Glu, Glu42Gly, Glu54Gln, Glu54Gly, Glu54Leu, Glu62Lys, Glu92Lys, Gly47Arg, Gly47Glu, Gly53Ala, Gly6Ser/Thr49Ile, Ile107Met, Phe84Leu, Ser23Asn, Ser52Pro, Thr40Asn, Thr75Ile, Val30Leu, and Val93Leu (one subject each).

c

Cardiac mutations are Val122Ile, Leu111Met, Thr60Ala, and Ile68Leu.

Table 1

Phenotype and genotype by countrya

Germany (N = 125)Denmark (N = 23)Spain (N = 76)France (N = 94)Italy (N = 161)Portugal (N = 786)Sweden (N = 142)Totala (N = 1411)
Phenotype, n (%)
 Cardiac64 (51.2)18 (78.3)13 (17.1)13 (13.8)58 (36.0)25 (3.2)19 (13.4)210 (14.9)
 Cardiac + neurologic22 (17.6)2 (8.7)20 (26.3)39 (41.5)45 (28.0)135 (17.2)32 (22.5)298 (21.1)
 Neurologic39 (31.2)3 (13.0)43 (56.6)42 (44.7)58 (36.0)626 (79.6)91 (64.1)903 (64.0)
Genotype, n
 Val30Met240564277791281038
 Wild type5211335501125
 Ile68Leu1001260028
 Glu89Gln0010240025
 Phe64Leu0000190019
 Val122Ile0031220118
 Ser77Tyr0021500017
 Gly47Ala1100040015
 Val20Ile1200000012
 Ile107Val600500011
 Leu111Met0110000011
 Thr49Ala00009009
 Val28Met00020608
 Glu89Lys00511007
 His88Arg00001067
 DelVal12210400005
 Thr59Lys20003005
 Thr60Ala00000011
 All other genotypesb161213101550
Genotype category, n (%)
 Wild type52 (41.6)11 (47.8)3 (3.9)3 (3.2)55 (34.2)01 (0.7)125 (8.9)
 Cardiac mutationsc1 (0.80)11 (47.8)3 (3.9)13 (13.8)28 (17.4)02 (1.4)58 (4.1)
 Val30Met early-onset13 (10.4)031 (40.8)27 (28.7)3 (1.9)646 (82.2)39 (27.5)761 (53.9)
 Val30Met late-onset11 (8.8)025 (32.9)15 (16.0)4 (2.5)133 (16.9)89 (62.7)277 (19.6)
 Other non-cardiac48 (38.4)1 (4.4)14 (18.4)36 (38.3)71 (44.1)7 (0.9)11 (7.8)190 (13.5)
Germany (N = 125)Denmark (N = 23)Spain (N = 76)France (N = 94)Italy (N = 161)Portugal (N = 786)Sweden (N = 142)Totala (N = 1411)
Phenotype, n (%)
 Cardiac64 (51.2)18 (78.3)13 (17.1)13 (13.8)58 (36.0)25 (3.2)19 (13.4)210 (14.9)
 Cardiac + neurologic22 (17.6)2 (8.7)20 (26.3)39 (41.5)45 (28.0)135 (17.2)32 (22.5)298 (21.1)
 Neurologic39 (31.2)3 (13.0)43 (56.6)42 (44.7)58 (36.0)626 (79.6)91 (64.1)903 (64.0)
Genotype, n
 Val30Met240564277791281038
 Wild type5211335501125
 Ile68Leu1001260028
 Glu89Gln0010240025
 Phe64Leu0000190019
 Val122Ile0031220118
 Ser77Tyr0021500017
 Gly47Ala1100040015
 Val20Ile1200000012
 Ile107Val600500011
 Leu111Met0110000011
 Thr49Ala00009009
 Val28Met00020608
 Glu89Lys00511007
 His88Arg00001067
 DelVal12210400005
 Thr59Lys20003005
 Thr60Ala00000011
 All other genotypesb161213101550
Genotype category, n (%)
 Wild type52 (41.6)11 (47.8)3 (3.9)3 (3.2)55 (34.2)01 (0.7)125 (8.9)
 Cardiac mutationsc1 (0.80)11 (47.8)3 (3.9)13 (13.8)28 (17.4)02 (1.4)58 (4.1)
 Val30Met early-onset13 (10.4)031 (40.8)27 (28.7)3 (1.9)646 (82.2)39 (27.5)761 (53.9)
 Val30Met late-onset11 (8.8)025 (32.9)15 (16.0)4 (2.5)133 (16.9)89 (62.7)277 (19.6)
 Other non-cardiac48 (38.4)1 (4.4)14 (18.4)36 (38.3)71 (44.1)7 (0.9)11 (7.8)190 (13.5)
a

Not shown separately in table, but included in ‘Total’ column are: Belgium, three subjects with cardiac + neurologic phenotype including one subject each with Val30Met (early-onset), Glu54Leu, and Glu74Leu; Cyprus, one subject with neurologic phenotype, and Val30Met (early-onset). Thr60Ala is shown separately as it is a designated ‘cardiac mutation’.

b

All other genotypes with ≤3 subjects in total. These are genotypes Arg34Thr and Ser77Phe (three subjects each); Ala45Ser, Cys10Arg, Glu54Lys, Ile84Thr, Ser50Arg, Thr49Ile, Tyr116Ser, and Val71Ala (two subjects each); and Ala19Asp, Ala36Pro, Ala45Asp, Ala81Thr, Ala91Ser, Ala97Ser, Arg21Gln, Asp18Glu, Glu42Gly, Glu54Gln, Glu54Gly, Glu54Leu, Glu62Lys, Glu92Lys, Gly47Arg, Gly47Glu, Gly53Ala, Gly6Ser/Thr49Ile, Ile107Met, Phe84Leu, Ser23Asn, Ser52Pro, Thr40Asn, Thr75Ile, Val30Leu, and Val93Leu (one subject each).

c

Cardiac mutations are Val122Ile, Leu111Met, Thr60Ala, and Ile68Leu.

Subject phenotypes and most common genotype in subjects enrolled in THAOS in continental Western Europe. Data are from all European countries included in THAOS. Shown are: the total number of subjects from each country in THAOS, the proportions of each phenotype, and the most common mutation in each country (with its percentage of all subjects in that country). Not shown are: Belgium, three subjects with cardiac + neurologic phenotype (genotypes: Val30Met, Glu54Leu, and Glu74Leu); and Cyprus, one subject with neurologic phenotype (genotype: Val30Met). Note that the most common form of ATTR amyloidosis in Germany and Italy was ATTRwt (41.6% and 34.2% of all subjects, respectively).
Figure 1

Subject phenotypes and most common genotype in subjects enrolled in THAOS in continental Western Europe. Data are from all European countries included in THAOS. Shown are: the total number of subjects from each country in THAOS, the proportions of each phenotype, and the most common mutation in each country (with its percentage of all subjects in that country). Not shown are: Belgium, three subjects with cardiac + neurologic phenotype (genotypes: Val30Met, Glu54Leu, and Glu74Leu); and Cyprus, one subject with neurologic phenotype (genotype: Val30Met). Note that the most common form of ATTR amyloidosis in Germany and Italy was ATTRwt (41.6% and 34.2% of all subjects, respectively).

In subjects with ATTRm in European countries in the THAOS registry, Val30Met was the most frequent mutation (1038 subjects, 73.6%), with most of these subjects being from Portugal, followed by Ile68Leu (28 subjects, 2.0%), with most subjects from Italy (Table 1). Types of mutations present differed highly between: Portugal and Sweden, in which there were endemic aggregations of Val30Met [779 (99.1%) and 128 (90.1%) subjects, respectively]; and the other European countries, which had a greater distribution of genotypes (Table 1). However, the majority of Val30Met subjects in Portugal were early-onset Val30Met, while the majority in Sweden were late-onset Val30Met (Supplementary material online, Figure S1). ATTRwt was observed in all countries except Portugal, Belgium, and Cyprus. There were also differences among countries in diagnostic pathways and treatment practices, and in subjects’ cardiac morphology, with Sweden having a higher proportion of subjects with a ratio of interventricular septal thickness to posterior wall thickness >1.3 (Supplementary material online, Tables S1 and S2).

Subject phenotypes by genotype category

Subject age, age at symptom onset, and sex varied significantly by genotype category (Supplementary material online, Table S3). Clinical phenotype at presentation in the overall registry was ‘cardiac’ in 210 subjects (14.9%), ‘cardiac + neurologic’ (mixed) in 298 subjects (21.1%), and ‘neurologic’ in 903 subjects (64.0%) (Table 2). The proportion of the neurologic phenotype in the overall cohort was driven by Portugal, Sweden, and Spain, where it was present in 79.6, 64.1, and 56.6% of subjects, respectively, mostly due to Val30Met. In other countries, such as Germany, Denmark, France, and Italy, most subjects had a cardiac or cardiac + neurologic phenotype (Table 1).

Table 2

Selected electrocardiogram and echocardiogram characteristics by genotype category

GenotypeTotal (N = 1411)ATTRwt (N = 125)Four main cardiac mutations (N = 58)Val30Met early-onset (N = 761)Val30Met late-onset (N = 277)Other mutations (N = 190)P-value
Phenotype, n (%)
 Cardiac210 (14.9)99 (79.2)28 (48.3)25 (3.3)25 (9.0)33 (17.4)<0.0001
 Cardiac + neurologic298 (21.1)23 (18.4)17 (29.3)126 (16.6)74 (26.7)58 (30.5)<0.0001
 Neurologic903 (64.0)3 (2.4)13 (22.4)610 (80.2)178 (64.3)99 (52.1)<0.0001
ECG abnormal, n (%)514 (53.8)104 (96.3)39 (81.3)188 (36.2)102 (62.6)81 (69.2)<0.0001
Pathologic Q-waves observed, n (%)113 (26.8)48 (50.0)17 (47.2)2 (1.4)18 (25.4)28 (35.9)<0.0001
Low voltage, n (%)98 (12.8)23 (24.0)15 (40.5)32 (7.5)4 (3.7)24 (24.5)<0.0001
Interval PR, median (Q1–Q3)168.0 (146.0–194.0)185.0 (130.0–208.0)186.0 (126.0–226.0)168.0 (148.0–191.5)172.0 (149.0–200.0)160.0 (140.0–183.0)0.2434
Interval QRS, median (Q1–Q3)98.0 (89.0–112.0)122.0 (104.0–153.0)112.0 (90.0–124.0)94.0 (88.0–102.0)104.0 (94.0–118.0)98.0 (86.0–117.0)<0.0001
LBBB, n (%)53 (17.6)24 (31.2)10 (37.0)5 (5.2)8 (17.0)6 (11.1)<0.0001
RBBB, n (%)45 (14.7)17 (21.8)5 (17.9)3 (3.1)7 (14.6)13 (23.6)0.0019
Diastolic interventricular septum thickness, median (Q1–Q3)15 (11–19)18 (16–21)17 (13–20)10 (9–12)15.5 (12–18)16 (12–20)<0.0001
LV diastolic diameter, median (Q1–Q3)45 (42–50)46 (42–50)46 (43–49)45 (42–49)47 (44–51)45 (40–49)0.0521
LV ejection fraction (%), median (Q1–Q3)65.1 (54.3–71.1)55.5 (46.0–66.3)59.2 (51.1–69.0)69.5 (63.3–74.0)70.2 (61.8–74.9)62.5 (50.2–68.7)<0.0001
E-wave deceleration time (ms), median (Q1–Q3)183.0 (141.0–221.0)180.0 (144.0–205.0)160.0 (140.0–215.0)178.0 (129.0–204.0)228.0 (180.0–261.0)182.0 (141.0–218.0)0.0008
Stroke volume (mL), median (Q1–Q3)68.0 (54.0–83.0)54.0 (39.0–68.0)50.0 (45.0–56.0)70.0 (56.5–82.0)82.0 (69.0–94.0)52.5 (42.0–64.5)<0.0001
RV free wall thickness, median (Q1–Q3)7.0 (5.0–8.0)9.0 (7.0–11.0)7.0 (7.0–9.0)6.0 (5.0–7.0)7.0 (5.0–9.0)6.0 (5.0–8.0)0.0008
Aortic thickening, n (%)50 (24.3)16 (26.7)5 (20.8)10 (21.3)6 (27.3)13 (24.5)0.9537
Mitral thickening, n (%)58 (27.9)23 (37.7)6 (24.0)5 (10.6)2 (9.1)22 (41.5)0.0009
Tricuspid thickening, n (%)19 (9.5)12 (20.0)2 (8.7)0 (0.0)1 (4.5)4 (8.2)0.0100
Sparkling, n (%)192 (50.7)63 (74.1)11 (39.3)42 (42.9)33 (44.6)43 (45.7)<0.0001
GenotypeTotal (N = 1411)ATTRwt (N = 125)Four main cardiac mutations (N = 58)Val30Met early-onset (N = 761)Val30Met late-onset (N = 277)Other mutations (N = 190)P-value
Phenotype, n (%)
 Cardiac210 (14.9)99 (79.2)28 (48.3)25 (3.3)25 (9.0)33 (17.4)<0.0001
 Cardiac + neurologic298 (21.1)23 (18.4)17 (29.3)126 (16.6)74 (26.7)58 (30.5)<0.0001
 Neurologic903 (64.0)3 (2.4)13 (22.4)610 (80.2)178 (64.3)99 (52.1)<0.0001
ECG abnormal, n (%)514 (53.8)104 (96.3)39 (81.3)188 (36.2)102 (62.6)81 (69.2)<0.0001
Pathologic Q-waves observed, n (%)113 (26.8)48 (50.0)17 (47.2)2 (1.4)18 (25.4)28 (35.9)<0.0001
Low voltage, n (%)98 (12.8)23 (24.0)15 (40.5)32 (7.5)4 (3.7)24 (24.5)<0.0001
Interval PR, median (Q1–Q3)168.0 (146.0–194.0)185.0 (130.0–208.0)186.0 (126.0–226.0)168.0 (148.0–191.5)172.0 (149.0–200.0)160.0 (140.0–183.0)0.2434
Interval QRS, median (Q1–Q3)98.0 (89.0–112.0)122.0 (104.0–153.0)112.0 (90.0–124.0)94.0 (88.0–102.0)104.0 (94.0–118.0)98.0 (86.0–117.0)<0.0001
LBBB, n (%)53 (17.6)24 (31.2)10 (37.0)5 (5.2)8 (17.0)6 (11.1)<0.0001
RBBB, n (%)45 (14.7)17 (21.8)5 (17.9)3 (3.1)7 (14.6)13 (23.6)0.0019
Diastolic interventricular septum thickness, median (Q1–Q3)15 (11–19)18 (16–21)17 (13–20)10 (9–12)15.5 (12–18)16 (12–20)<0.0001
LV diastolic diameter, median (Q1–Q3)45 (42–50)46 (42–50)46 (43–49)45 (42–49)47 (44–51)45 (40–49)0.0521
LV ejection fraction (%), median (Q1–Q3)65.1 (54.3–71.1)55.5 (46.0–66.3)59.2 (51.1–69.0)69.5 (63.3–74.0)70.2 (61.8–74.9)62.5 (50.2–68.7)<0.0001
E-wave deceleration time (ms), median (Q1–Q3)183.0 (141.0–221.0)180.0 (144.0–205.0)160.0 (140.0–215.0)178.0 (129.0–204.0)228.0 (180.0–261.0)182.0 (141.0–218.0)0.0008
Stroke volume (mL), median (Q1–Q3)68.0 (54.0–83.0)54.0 (39.0–68.0)50.0 (45.0–56.0)70.0 (56.5–82.0)82.0 (69.0–94.0)52.5 (42.0–64.5)<0.0001
RV free wall thickness, median (Q1–Q3)7.0 (5.0–8.0)9.0 (7.0–11.0)7.0 (7.0–9.0)6.0 (5.0–7.0)7.0 (5.0–9.0)6.0 (5.0–8.0)0.0008
Aortic thickening, n (%)50 (24.3)16 (26.7)5 (20.8)10 (21.3)6 (27.3)13 (24.5)0.9537
Mitral thickening, n (%)58 (27.9)23 (37.7)6 (24.0)5 (10.6)2 (9.1)22 (41.5)0.0009
Tricuspid thickening, n (%)19 (9.5)12 (20.0)2 (8.7)0 (0.0)1 (4.5)4 (8.2)0.0100
Sparkling, n (%)192 (50.7)63 (74.1)11 (39.3)42 (42.9)33 (44.6)43 (45.7)<0.0001

Percentages shown are the proportion of subjects with each measure out of the total number of subjects for which data on that measure was available. Analysis of variance was performed to calculate P-values by comparing means between groups for continuous variables. The Pearson χ2 test was performed to calculate P-values for variables with cell counts >5. The Kruskal–Wallis test was performed to calculate P-values by comparing medians between groups for continuous variables. The Fisher’s exact test was performed to calculate P-values for non-ordinal variables with cell counts ≤5.

ATTRwt, wild-type ATTR amyloidosis; LBBB, left bundle branch block; LV, left ventricular; Q1, lower quartile; Q3, upper quartile; RBBB, right bundle branch block.

Table 2

Selected electrocardiogram and echocardiogram characteristics by genotype category

GenotypeTotal (N = 1411)ATTRwt (N = 125)Four main cardiac mutations (N = 58)Val30Met early-onset (N = 761)Val30Met late-onset (N = 277)Other mutations (N = 190)P-value
Phenotype, n (%)
 Cardiac210 (14.9)99 (79.2)28 (48.3)25 (3.3)25 (9.0)33 (17.4)<0.0001
 Cardiac + neurologic298 (21.1)23 (18.4)17 (29.3)126 (16.6)74 (26.7)58 (30.5)<0.0001
 Neurologic903 (64.0)3 (2.4)13 (22.4)610 (80.2)178 (64.3)99 (52.1)<0.0001
ECG abnormal, n (%)514 (53.8)104 (96.3)39 (81.3)188 (36.2)102 (62.6)81 (69.2)<0.0001
Pathologic Q-waves observed, n (%)113 (26.8)48 (50.0)17 (47.2)2 (1.4)18 (25.4)28 (35.9)<0.0001
Low voltage, n (%)98 (12.8)23 (24.0)15 (40.5)32 (7.5)4 (3.7)24 (24.5)<0.0001
Interval PR, median (Q1–Q3)168.0 (146.0–194.0)185.0 (130.0–208.0)186.0 (126.0–226.0)168.0 (148.0–191.5)172.0 (149.0–200.0)160.0 (140.0–183.0)0.2434
Interval QRS, median (Q1–Q3)98.0 (89.0–112.0)122.0 (104.0–153.0)112.0 (90.0–124.0)94.0 (88.0–102.0)104.0 (94.0–118.0)98.0 (86.0–117.0)<0.0001
LBBB, n (%)53 (17.6)24 (31.2)10 (37.0)5 (5.2)8 (17.0)6 (11.1)<0.0001
RBBB, n (%)45 (14.7)17 (21.8)5 (17.9)3 (3.1)7 (14.6)13 (23.6)0.0019
Diastolic interventricular septum thickness, median (Q1–Q3)15 (11–19)18 (16–21)17 (13–20)10 (9–12)15.5 (12–18)16 (12–20)<0.0001
LV diastolic diameter, median (Q1–Q3)45 (42–50)46 (42–50)46 (43–49)45 (42–49)47 (44–51)45 (40–49)0.0521
LV ejection fraction (%), median (Q1–Q3)65.1 (54.3–71.1)55.5 (46.0–66.3)59.2 (51.1–69.0)69.5 (63.3–74.0)70.2 (61.8–74.9)62.5 (50.2–68.7)<0.0001
E-wave deceleration time (ms), median (Q1–Q3)183.0 (141.0–221.0)180.0 (144.0–205.0)160.0 (140.0–215.0)178.0 (129.0–204.0)228.0 (180.0–261.0)182.0 (141.0–218.0)0.0008
Stroke volume (mL), median (Q1–Q3)68.0 (54.0–83.0)54.0 (39.0–68.0)50.0 (45.0–56.0)70.0 (56.5–82.0)82.0 (69.0–94.0)52.5 (42.0–64.5)<0.0001
RV free wall thickness, median (Q1–Q3)7.0 (5.0–8.0)9.0 (7.0–11.0)7.0 (7.0–9.0)6.0 (5.0–7.0)7.0 (5.0–9.0)6.0 (5.0–8.0)0.0008
Aortic thickening, n (%)50 (24.3)16 (26.7)5 (20.8)10 (21.3)6 (27.3)13 (24.5)0.9537
Mitral thickening, n (%)58 (27.9)23 (37.7)6 (24.0)5 (10.6)2 (9.1)22 (41.5)0.0009
Tricuspid thickening, n (%)19 (9.5)12 (20.0)2 (8.7)0 (0.0)1 (4.5)4 (8.2)0.0100
Sparkling, n (%)192 (50.7)63 (74.1)11 (39.3)42 (42.9)33 (44.6)43 (45.7)<0.0001
GenotypeTotal (N = 1411)ATTRwt (N = 125)Four main cardiac mutations (N = 58)Val30Met early-onset (N = 761)Val30Met late-onset (N = 277)Other mutations (N = 190)P-value
Phenotype, n (%)
 Cardiac210 (14.9)99 (79.2)28 (48.3)25 (3.3)25 (9.0)33 (17.4)<0.0001
 Cardiac + neurologic298 (21.1)23 (18.4)17 (29.3)126 (16.6)74 (26.7)58 (30.5)<0.0001
 Neurologic903 (64.0)3 (2.4)13 (22.4)610 (80.2)178 (64.3)99 (52.1)<0.0001
ECG abnormal, n (%)514 (53.8)104 (96.3)39 (81.3)188 (36.2)102 (62.6)81 (69.2)<0.0001
Pathologic Q-waves observed, n (%)113 (26.8)48 (50.0)17 (47.2)2 (1.4)18 (25.4)28 (35.9)<0.0001
Low voltage, n (%)98 (12.8)23 (24.0)15 (40.5)32 (7.5)4 (3.7)24 (24.5)<0.0001
Interval PR, median (Q1–Q3)168.0 (146.0–194.0)185.0 (130.0–208.0)186.0 (126.0–226.0)168.0 (148.0–191.5)172.0 (149.0–200.0)160.0 (140.0–183.0)0.2434
Interval QRS, median (Q1–Q3)98.0 (89.0–112.0)122.0 (104.0–153.0)112.0 (90.0–124.0)94.0 (88.0–102.0)104.0 (94.0–118.0)98.0 (86.0–117.0)<0.0001
LBBB, n (%)53 (17.6)24 (31.2)10 (37.0)5 (5.2)8 (17.0)6 (11.1)<0.0001
RBBB, n (%)45 (14.7)17 (21.8)5 (17.9)3 (3.1)7 (14.6)13 (23.6)0.0019
Diastolic interventricular septum thickness, median (Q1–Q3)15 (11–19)18 (16–21)17 (13–20)10 (9–12)15.5 (12–18)16 (12–20)<0.0001
LV diastolic diameter, median (Q1–Q3)45 (42–50)46 (42–50)46 (43–49)45 (42–49)47 (44–51)45 (40–49)0.0521
LV ejection fraction (%), median (Q1–Q3)65.1 (54.3–71.1)55.5 (46.0–66.3)59.2 (51.1–69.0)69.5 (63.3–74.0)70.2 (61.8–74.9)62.5 (50.2–68.7)<0.0001
E-wave deceleration time (ms), median (Q1–Q3)183.0 (141.0–221.0)180.0 (144.0–205.0)160.0 (140.0–215.0)178.0 (129.0–204.0)228.0 (180.0–261.0)182.0 (141.0–218.0)0.0008
Stroke volume (mL), median (Q1–Q3)68.0 (54.0–83.0)54.0 (39.0–68.0)50.0 (45.0–56.0)70.0 (56.5–82.0)82.0 (69.0–94.0)52.5 (42.0–64.5)<0.0001
RV free wall thickness, median (Q1–Q3)7.0 (5.0–8.0)9.0 (7.0–11.0)7.0 (7.0–9.0)6.0 (5.0–7.0)7.0 (5.0–9.0)6.0 (5.0–8.0)0.0008
Aortic thickening, n (%)50 (24.3)16 (26.7)5 (20.8)10 (21.3)6 (27.3)13 (24.5)0.9537
Mitral thickening, n (%)58 (27.9)23 (37.7)6 (24.0)5 (10.6)2 (9.1)22 (41.5)0.0009
Tricuspid thickening, n (%)19 (9.5)12 (20.0)2 (8.7)0 (0.0)1 (4.5)4 (8.2)0.0100
Sparkling, n (%)192 (50.7)63 (74.1)11 (39.3)42 (42.9)33 (44.6)43 (45.7)<0.0001

Percentages shown are the proportion of subjects with each measure out of the total number of subjects for which data on that measure was available. Analysis of variance was performed to calculate P-values by comparing means between groups for continuous variables. The Pearson χ2 test was performed to calculate P-values for variables with cell counts >5. The Kruskal–Wallis test was performed to calculate P-values by comparing medians between groups for continuous variables. The Fisher’s exact test was performed to calculate P-values for non-ordinal variables with cell counts ≤5.

ATTRwt, wild-type ATTR amyloidosis; LBBB, left bundle branch block; LV, left ventricular; Q1, lower quartile; Q3, upper quartile; RBBB, right bundle branch block.

Clinical assessments by genotype category

ATTRwt subjects, and subjects with cardiac mutations, were more likely to: be male; have a greater age at symptom onset; have a history of palpitations or heart failure; be receiving treatment for heart disease; have higher levels of brain natriuretic peptide (BNP) and N-terminal pro-BNP (NTproBNP), troponin I + troponin T, and creatinine; and have a lower estimated glomerular filtration rate (Supplementary material online, Table S3). These subjects were also more likely to have abnormal electrocardiogram (ECG) results and showed normal diastolic left ventricular (LV) volume, symmetric LV hypertrophy, and mildly depressed LV ejection fraction (LVEF; Table 2). All genotype categories had increased diastolic interventricular septum thickness (median ≥15 mm), with the exception of early-onset Val30Met, which had a median of 10 mm (Table 2).

In the cardiac mutations category, subject demographics were similar between subjects with Val122Ile, Thr60Ala, and Ile68Leu mutations, while subjects with Leu111Met were significantly younger, and less likely to be male. Subjects with the Leu111Met mutation were 63.6% male and had a mean [standard deviation (SD)] age at enrolment and mean (SD) age at symptom onset of 47.6 (7.4) and 38.9 (8.9) years, compared with 86.9% male and 72.2 (9.8) and 65.1 (12.1) years in all subjects with cardiac mutations or ATTRwt.

Clinical assessments by phenotype category

Morphologic and functional abnormalities on echocardiogram were significantly more severe among subjects with the cardiac phenotype compared with the cardiac + neurologic phenotype (Table 3). The cardiac phenotype had: higher median (Q1–Q3) diastolic interventricular septum thickness [18 (16–21) vs. 16 (13–20) mm; P = 0.0006]; more frequent incidence of LVEF <50% (38.1 vs. 17.5%; P = 0.0008); and more frequent incidence of higher echo-Doppler restrictive filling pattern (>2 in 48.0 vs. 18.5%; P = 0.0240), compared with the cardiac + neurologic phenotype.

Table 3

Comparisons of clinical and electrocardiogram and echocardiogram characteristics in symptomatic subjects with cardiac or cardiac + neurologic phenotype

N (total)Total (N = 508)Cardiac (N = 210)Cardiac + neurologic (N = 298)P-value
Age at onset (years), mean (SD)50853.1 (16.9)60.8 (14.5)47.6 (16.3)<0.0001
Age at inclusion (years), mean (SD)50861.3 (15.5)67.3 (13.5)57.0 (15.5)<0.0001
Sex, n (%)508<0.0001
 Male335 (65.9)164 (78.1)171 (57.4)
 Female173 (34.1)46 (21.9)127 (42.6)
NYHA501<0.0001
 No HF/I265 (52.9)68 (32.5)197 (67.5)
 II–IV236 (47.1)141 (67.5)95 (32.5)
Diastolic interventricular septum thickness (mm), median (Q1–Q3)27017.0 (14.0–20.0)18.0 (16.0–21.0)16.0 (13.0–20.0)0.0006
Diastolic LV posterior wall thickness (mm), median (Q1–Q3)24815.0 (12.0–18.0)16.0 (13.0–18.0)13.0 (10.0–17.0)0.0001
Left atrial diameter (mm), median (Q1–Q3)22143.0 (39.0–48.0)46.0 (42.0–50.0)41.0 (36.0–46.0)<0.0001
LV ejection fraction (%), median (Q1–Q3)21660.9 (48.6–69.8)55.5 (46.4–68.0)65.3 (57.4–70.8)0.0002
LV ejection fraction <40%, n (%)21620 (9.3)14 (12.4)6 (5.8)0.0964
LV ejection fraction <50%, n (%)21661 (28.2)43 (38.1)18 (17.5)0.0008
LV end-diastolic diameter (mm), median (Q1–Q3)23745.0 (42.0–49.0)45.0 (42.0–50.0)45.0 (41.0–48.0)0.5533
E-wave deceleration time (ms), median (Q1–Q3)118179.0 (144.0–221.0)175.5 (142.0–200.0)183.5 (144.0–226.0)0.3134
Stroke volume (mL), median (Q1–Q3)7160 (49–75)55 (48–69)62 (50–76)0.2637
Restrictive filling pattern, n (%)790.0240
 <120 (25.3)5 (20.0)15 (27.8)
 1–237 (46.8)8 (32.0)29 (53.7)
 >222 (27.8)12 (48.0)10 (18.5)
LV mass among men (g/m2), median (Q1–Q3)172336.4 (267.0–412.5)350.7 (295.0–427.0)298.4 (212.0–389.9)0.0069
Mitral thickening, n (%)14044 (31.4)26 (32.9)18 (29.5)0.6671
Tricuspid thickening, n (%)13618 (13.2)11 (14.1)7 (12.1)0.7293
N (total)Total (N = 508)Cardiac (N = 210)Cardiac + neurologic (N = 298)P-value
Age at onset (years), mean (SD)50853.1 (16.9)60.8 (14.5)47.6 (16.3)<0.0001
Age at inclusion (years), mean (SD)50861.3 (15.5)67.3 (13.5)57.0 (15.5)<0.0001
Sex, n (%)508<0.0001
 Male335 (65.9)164 (78.1)171 (57.4)
 Female173 (34.1)46 (21.9)127 (42.6)
NYHA501<0.0001
 No HF/I265 (52.9)68 (32.5)197 (67.5)
 II–IV236 (47.1)141 (67.5)95 (32.5)
Diastolic interventricular septum thickness (mm), median (Q1–Q3)27017.0 (14.0–20.0)18.0 (16.0–21.0)16.0 (13.0–20.0)0.0006
Diastolic LV posterior wall thickness (mm), median (Q1–Q3)24815.0 (12.0–18.0)16.0 (13.0–18.0)13.0 (10.0–17.0)0.0001
Left atrial diameter (mm), median (Q1–Q3)22143.0 (39.0–48.0)46.0 (42.0–50.0)41.0 (36.0–46.0)<0.0001
LV ejection fraction (%), median (Q1–Q3)21660.9 (48.6–69.8)55.5 (46.4–68.0)65.3 (57.4–70.8)0.0002
LV ejection fraction <40%, n (%)21620 (9.3)14 (12.4)6 (5.8)0.0964
LV ejection fraction <50%, n (%)21661 (28.2)43 (38.1)18 (17.5)0.0008
LV end-diastolic diameter (mm), median (Q1–Q3)23745.0 (42.0–49.0)45.0 (42.0–50.0)45.0 (41.0–48.0)0.5533
E-wave deceleration time (ms), median (Q1–Q3)118179.0 (144.0–221.0)175.5 (142.0–200.0)183.5 (144.0–226.0)0.3134
Stroke volume (mL), median (Q1–Q3)7160 (49–75)55 (48–69)62 (50–76)0.2637
Restrictive filling pattern, n (%)790.0240
 <120 (25.3)5 (20.0)15 (27.8)
 1–237 (46.8)8 (32.0)29 (53.7)
 >222 (27.8)12 (48.0)10 (18.5)
LV mass among men (g/m2), median (Q1–Q3)172336.4 (267.0–412.5)350.7 (295.0–427.0)298.4 (212.0–389.9)0.0069
Mitral thickening, n (%)14044 (31.4)26 (32.9)18 (29.5)0.6671
Tricuspid thickening, n (%)13618 (13.2)11 (14.1)7 (12.1)0.7293

Percentages shown are the proportion of subjects with each measure out of the total number of subjects for which data on that measure was available. The Kruskal–Wallis test was performed to calculate P-values by comparing medians between groups for continuous variables. The Pearson χ2 test was performed to calculate P-values for variables with cell counts >5.

HF, heart failure; LV, left ventricular; NYHA, New York Heart Association (classification); Q1, lower quartile; Q3, upper quartile; SD, standard deviation.

Table 3

Comparisons of clinical and electrocardiogram and echocardiogram characteristics in symptomatic subjects with cardiac or cardiac + neurologic phenotype

N (total)Total (N = 508)Cardiac (N = 210)Cardiac + neurologic (N = 298)P-value
Age at onset (years), mean (SD)50853.1 (16.9)60.8 (14.5)47.6 (16.3)<0.0001
Age at inclusion (years), mean (SD)50861.3 (15.5)67.3 (13.5)57.0 (15.5)<0.0001
Sex, n (%)508<0.0001
 Male335 (65.9)164 (78.1)171 (57.4)
 Female173 (34.1)46 (21.9)127 (42.6)
NYHA501<0.0001
 No HF/I265 (52.9)68 (32.5)197 (67.5)
 II–IV236 (47.1)141 (67.5)95 (32.5)
Diastolic interventricular septum thickness (mm), median (Q1–Q3)27017.0 (14.0–20.0)18.0 (16.0–21.0)16.0 (13.0–20.0)0.0006
Diastolic LV posterior wall thickness (mm), median (Q1–Q3)24815.0 (12.0–18.0)16.0 (13.0–18.0)13.0 (10.0–17.0)0.0001
Left atrial diameter (mm), median (Q1–Q3)22143.0 (39.0–48.0)46.0 (42.0–50.0)41.0 (36.0–46.0)<0.0001
LV ejection fraction (%), median (Q1–Q3)21660.9 (48.6–69.8)55.5 (46.4–68.0)65.3 (57.4–70.8)0.0002
LV ejection fraction <40%, n (%)21620 (9.3)14 (12.4)6 (5.8)0.0964
LV ejection fraction <50%, n (%)21661 (28.2)43 (38.1)18 (17.5)0.0008
LV end-diastolic diameter (mm), median (Q1–Q3)23745.0 (42.0–49.0)45.0 (42.0–50.0)45.0 (41.0–48.0)0.5533
E-wave deceleration time (ms), median (Q1–Q3)118179.0 (144.0–221.0)175.5 (142.0–200.0)183.5 (144.0–226.0)0.3134
Stroke volume (mL), median (Q1–Q3)7160 (49–75)55 (48–69)62 (50–76)0.2637
Restrictive filling pattern, n (%)790.0240
 <120 (25.3)5 (20.0)15 (27.8)
 1–237 (46.8)8 (32.0)29 (53.7)
 >222 (27.8)12 (48.0)10 (18.5)
LV mass among men (g/m2), median (Q1–Q3)172336.4 (267.0–412.5)350.7 (295.0–427.0)298.4 (212.0–389.9)0.0069
Mitral thickening, n (%)14044 (31.4)26 (32.9)18 (29.5)0.6671
Tricuspid thickening, n (%)13618 (13.2)11 (14.1)7 (12.1)0.7293
N (total)Total (N = 508)Cardiac (N = 210)Cardiac + neurologic (N = 298)P-value
Age at onset (years), mean (SD)50853.1 (16.9)60.8 (14.5)47.6 (16.3)<0.0001
Age at inclusion (years), mean (SD)50861.3 (15.5)67.3 (13.5)57.0 (15.5)<0.0001
Sex, n (%)508<0.0001
 Male335 (65.9)164 (78.1)171 (57.4)
 Female173 (34.1)46 (21.9)127 (42.6)
NYHA501<0.0001
 No HF/I265 (52.9)68 (32.5)197 (67.5)
 II–IV236 (47.1)141 (67.5)95 (32.5)
Diastolic interventricular septum thickness (mm), median (Q1–Q3)27017.0 (14.0–20.0)18.0 (16.0–21.0)16.0 (13.0–20.0)0.0006
Diastolic LV posterior wall thickness (mm), median (Q1–Q3)24815.0 (12.0–18.0)16.0 (13.0–18.0)13.0 (10.0–17.0)0.0001
Left atrial diameter (mm), median (Q1–Q3)22143.0 (39.0–48.0)46.0 (42.0–50.0)41.0 (36.0–46.0)<0.0001
LV ejection fraction (%), median (Q1–Q3)21660.9 (48.6–69.8)55.5 (46.4–68.0)65.3 (57.4–70.8)0.0002
LV ejection fraction <40%, n (%)21620 (9.3)14 (12.4)6 (5.8)0.0964
LV ejection fraction <50%, n (%)21661 (28.2)43 (38.1)18 (17.5)0.0008
LV end-diastolic diameter (mm), median (Q1–Q3)23745.0 (42.0–49.0)45.0 (42.0–50.0)45.0 (41.0–48.0)0.5533
E-wave deceleration time (ms), median (Q1–Q3)118179.0 (144.0–221.0)175.5 (142.0–200.0)183.5 (144.0–226.0)0.3134
Stroke volume (mL), median (Q1–Q3)7160 (49–75)55 (48–69)62 (50–76)0.2637
Restrictive filling pattern, n (%)790.0240
 <120 (25.3)5 (20.0)15 (27.8)
 1–237 (46.8)8 (32.0)29 (53.7)
 >222 (27.8)12 (48.0)10 (18.5)
LV mass among men (g/m2), median (Q1–Q3)172336.4 (267.0–412.5)350.7 (295.0–427.0)298.4 (212.0–389.9)0.0069
Mitral thickening, n (%)14044 (31.4)26 (32.9)18 (29.5)0.6671
Tricuspid thickening, n (%)13618 (13.2)11 (14.1)7 (12.1)0.7293

Percentages shown are the proportion of subjects with each measure out of the total number of subjects for which data on that measure was available. The Kruskal–Wallis test was performed to calculate P-values by comparing medians between groups for continuous variables. The Pearson χ2 test was performed to calculate P-values for variables with cell counts >5.

HF, heart failure; LV, left ventricular; NYHA, New York Heart Association (classification); Q1, lower quartile; Q3, upper quartile; SD, standard deviation.

Survival by genotype and phenotype category

Survival (time to death) and heart transplant-free survival (time to death or heart transplant) was assessed for all 1375 subjects with follow-up data. Subjects with cardiac mutations or ATTRwt genotype had a lower survival rate than subjects in the other genotype categories (χ2 log rank: P < 0.0001) (Figure 2 and Supplementary material online, Figure S2). Subjects with cardiac or cardiac + neurologic phenotype had a lower survival rate than subjects with neurologic phenotype (χ2 log rank: P < 0.0001) (Figure 3 and Supplementary material online, Figure S3).

A Kaplan–Meier survival curve by genotype for subject death. The 95% Hall–Wellner bands and Cox proportional hazards model are adjusted by age and sex (χ2 log rank: P < 0.0001). Survival curves are from enrolment in THAOS.
Figure 2

A Kaplan–Meier survival curve by genotype for subject death. The 95% Hall–Wellner bands and Cox proportional hazards model are adjusted by age and sex (χ2 log rank: P < 0.0001). Survival curves are from enrolment in THAOS.

A Kaplan–Meier survival curve by phenotype for subject death. The 95% Hall–Wellner bands and Cox proportional hazards model are adjusted by age and sex (χ2 log rank: P < 0.0001). Survival curves are from enrolment in THAOS.
Figure 3

A Kaplan–Meier survival curve by phenotype for subject death. The 95% Hall–Wellner bands and Cox proportional hazards model are adjusted by age and sex (χ2 log rank: P < 0.0001). Survival curves are from enrolment in THAOS.

Discussion

This study provides, for the first time, a detailed map of the genotypic and phenotypic distribution of ATTR amyloidosis in Europe. The THAOS registry offers a unique opportunity to assess the phenotype, genotype, and prognosis spectrum, and represents a model for the study of rare disease. This analysis of THAOS registry subjects in Europe demonstrates that both genotype and phenotype are highly heterogeneous among patients with ATTR amyloidosis and that cardiac symptoms, or phenotype, are common in these patients; suggesting that European cardiologists might often be the first in line to diagnose patients with ATTR amyloidosis hidden in the large community of patients with cardiac symptoms/disease and, importantly, that the prognosis of ATTR amyloidosis is driven by the degree of cardiac involvement.

Heterogeneity of ATTR amyloidosis genotype in continental Western Europe

The THAOS registry has confirmed the heterogeneity of distribution of the mutations across continental Western European countries, with some mutations specific to certain countries. For instance, cardiac mutations Leu111Met, Ile68Leu, and Val122Ile were predominantly observed in Denmark, Italy, and France, respectively. Leu111Met has been traced to three unrelated Danish families.22 Val122Ile is observed in patients from West Africa, or of West African descent, with 3.4% of African Americans aged <65 years carrying at least one copy of the mutation.21  ,  25 Thr60Ala was observed in only one subject in THAOS in continental Western Europe (in Sweden, with no known ancestry from Ireland or the UK, where it is the most common mutation23  ,  26). The UK does not participate in THAOS, but in one observational study, Thr60Ala was the single most common mutation (17 of 37 patients with ATTRm), followed by Val30Met (five patients).9 Val30Met is endemic in Portugal (predominantly early-onset) and Sweden (predominantly late-onset), and also observed in Spain and France. This analysis of THAOS shows that distribution of TTR mutations across continental Western Europe varies significantly among different countries, or in some ethnic groups, due to the founder effect. Therefore, the main mutations come from endemic areas (e.g. early-onset Val30Met from Portugal and Val122Ile from West Africa) from which subjects have migrated across Europe over time. In contrast to cardiac mutations, ATTRwt was observed in all continental Western European countries. This suggests that ATTRwt is linked to the ageing process, rather than to other genetic factors, and that it can occur in any elderly European.27

Time of onset and sex of subjects with cardiac mutations in continental Western Europe

Patients with cardiac phenotype had a range of ages at disease onset. Val122Ile and Ile68Leu subjects had a late-onset cardiomyopathy (occurring after 55 years of age) and were more common in men. In contrast, Leu111Met subjects were significantly younger, and less likely to be male, in accordance with previous studies.22  ,  28

This is important as, in most European countries, the diagnosis of ATTR-CM should be suspected in patients older than 55 years with hypertrophic cardiomyopathy phenotype. A recent prospective study including French patients with hypertrophic cardiomyopathy phenotype [median age (interquartile range): 62 (24) years] showed that 5% of patients, all aged >63 and some >80 years, had ATTR-CM, with Val122Ile the most common mutation (∼50% of patients).29 Similar studies have shown the high prevalence of ATTRwt in older European patients presenting with heart failure or hypertrophic cardiomyopathy.30  ,  31 The THAOS registry, and these studies, highlight the need to perform TTR genetic studies in all patients with ATTR amyloidosis, whatever their age, to discriminate ATTRm and ATTRwt. Discovery of a TTR mutation, even in elderly patients, will have consequences for their families, so it is advised to perform a genetic test. It is difficult to otherwise rule out ATTR amyloidosis in patients younger than 55 years of age, particularly if they are from Denmark.

Cardiac phenotype of ATTR amyloidosis in continental Western Europe

One-third of the subjects included in the THAOS registry in Europe have cardiac symptoms with a cardiac phenotype either with or without neurologic signs or symptoms. The cardiac phenotype in THAOS in Europe is mainly due to either ATTRwt or cardiac mutations (Leu111Met, Ile68Leu, and Val122Ile) but may also arise from other mutations (e.g. His88Arg32 or Val20Ile33), with 17.4% of subjects in the ‘other mutations’ category having a cardiac phenotype.

The large majority of ATTRwt and cardiac mutations subjects in this analysis were male. This finding is consistent with previous studies showing ATTRwt is largely confined to elderly men,34 and that within ATTRm patients with cardiomyopathy there were fewer women and that those women tended to display considerably less severe morphological and functional echocardiographic impairment.35  ,  36 This raises the possibility that some unexplained characteristic associated with the female sex protects against myocardial involvement in ATTR amyloidosis. Notably, ATTRwt may occur at an older age in women37  ,  38 and, as a consequence, may be underdiagnosed in elderly women.

Subjects with a cardiac phenotype already showed heart failure symptoms and meaningful increase in LV wall thicknesses (showing the importance of cardiac infiltration of amyloid deposits) at the time of inclusion in THAOS, demonstrating that the diagnosis was made at a relatively late stage of disease. This emphasizes the need for earlier diagnosis, and for identifying early signs that can be shared with physicians (both general practitioners and cardiologists). As red flag, carpal tunnel syndrome is often the earliest presenting symptom and may precede cardiac symptoms by several years in subjects with ATTRwt and other cardiac mutations.27–29 The typical cardiac phenotype showed symmetric increase in LV and right ventricular wall thickness, especially in men aged ≥55 years with normal systolic blood pressure, valve thickening, and sparkling.39 It should be noted that, in this analysis, subjects with cardiac mutations were not exclusively associated with the cardiac phenotype, with 22.4% also having neurologic signs. This highlights that neuropathy needs to be diagnosed even in subjects with a cardiac genotype and is in accordance with a previous study in which ∼50% of patients diagnosed with a TTR cardiac mutation had a neuropathy.29 All these red flags should alert physicians to the possibility of ATTR amyloidosis, where the absence of restrictive filling pattern and low voltage should not rule out the suspicion.

Prognosis of ATTR amyloidosis in continental Western Europe

In this analysis, there was a significantly poorer prognosis for subjects with cardiac mutations or ATTRwt. This observation is consistent with the differences in clinical measures and medical history between the genotype and phenotype categories and previous surveys of these patients. For example, subjects with ATTRwt and cardiac mutations had notably higher median levels of BNP, cardiac troponin T, and NTproBNP. A prior survey of cardiac biomarkers in subjects enrolled in THAOS identified higher plasma levels of BNP/NTproBNP as an independent predictor of survival.40 Together, these data should guide cardiologists in Europe, where the presence of symmetric LV hypertrophy and mildly depressed LVEF, especially in elderly men, should prompt the suspicion of ATTR amyloidosis if LV hypertrophy is unexplained.

There appeared to be some differences in treatment patterns between countries. For example, larger proportions of subjects on tafamidis (post-enrolment) were observed in Portugal (28.6%) and France (26.6%), which were predominately early-onset Val30Met; whereas, larger proportions of liver transplants were reported in Spain (43.4%). Notably, only 18.6 and 31.3% of all patients received a liver transplant or had ever received the disease modifying treatment tafamidis, respectively.

Limitations

While this analysis demonstrated lower survival rates in subjects with cardiac disease, it was not designed to assess the relative contribution of specific factors other than phenotype and genotype group (controlled by age and sex). Other variables may also impact survival but are less likely to be as relevant for all the groups in this analysis. For example, cardiac measures may be relevant in patients with cardiac disease but not for patients with neurologic disease, while liver transplant status has been shown to have prognostic value for patients with the Val30Met mutation but less so for other mutations.41  ,  42 As THAOS is a large, international registry, there are inevitable variations in the clinical investigations and how complete the data, including data follow-up, are for each subject. While there are specific guidelines for the collection and reporting of data,20 the registry relies on assessments conducted in participating centres and there are no core data collection laboratories, so there may be variations in data availability and integrity. There are probably also non-random variations in missing data as, for example, cardiac symptoms in subjects with the neurologic phenotype may not be observed, or assessed, by the neurologist (and vice versa). Assignment of subjects to phenotype may also be imprecise as characterization of the cardiac phenotype was based on ECG and clinical data, which may not have been systematically obtained for subjects being treated by a neurologist. In this regard, selection of subjects included in the THAOS registry itself may be biased, as when it was established the majority of investigators were neurologists. While investigators of other specialties have since joined the registry, there remains an uneven distribution of specialties in some counties (Supplementary material online, Table S1) which may have influenced the distribution of subjects; most clearly in Denmark and Portugal, which had a strong correlation between the type of specialist and the phenotype of subjects. However, this was not evident in other countries and the large number of ‘other’ specialists, and subjects with a cardiac + neurologic phenotype, demonstrate that, overall, this correlation was not as strong as may have been expected. THAOS is a real-world registry so the proportion of neurologic, cardiologic, and ‘other specialty’ investigators will reflect the real distribution of where patients suspected to have ATTR amyloidosis are referred. With increased awareness among European cardiologists, it is likely that more ATTR-CM will be diagnosed.

Conclusion

ATTR amyloidosis genotypes and phenotypes as observed in THAOS are highly heterogeneous in Europe. A geographic map of the different disease profiles and awareness that a subset of subjects have a dominant cardiac phenotype at presentation, mimicking hypertrophic cardiomyopathy, can facilitate the clinical recognition of this underdiagnosed disease.

Acknowledgements

The authors thank all THAOS patients and investigators for their important contributions to this study. Medical writing support was provided by Joshua Fink, PhD, of Engage Scientific Solutions, and funded by Pfizer.

Funding

This study was sponsored by Pfizer.

Conflicts of interest: T.D. is a THAOS investigator and member of the THAOS Scientific Board; and has served as a medical advisor for Pfizer and received honoraria. His institution has received grant support from Pfizer; has served on the scientific advisory board of, and received funding from, Pfizer, Alnylam, Akcea, Prothena and GSK for scientific meeting expenses (travel, accommodation, and registration). A.V.K. is a THAOS investigator and member of the THAOS Scientific Board; and has served as a medical advisor for Pfizer and received honoraria for presentations. O.B.S. is a THAOS investigator and member of the THAOS Scientific Board; has received honoraria for presentation and funding from Pfizer for scientific meeting expenses (travel, accommodation, and registration); has served as member of advisory board for Alnylam and Prothena Pharmaceutical companies; and as a clinical investigator for Alnylam Pharmaceuticals. M.S.M. is a THAOS investigator and member of the THAOS Scientific Board; has received support from FoldRx Pharmaceuticals as a clinical investigator and for scientific meeting expenses; his institution has received grant support from Pfizer; has served on the scientific advisory board of and received funding from Pfizer for scientific meeting expenses (travel, accommodation, and registration). V.P.-B. is a THAOS investigator and member of the THAOS Scientific Board and has served as a medical advisor for Pfizer, Alnylam Pharmaceuticals, Eidos Therapeutics, and Ionis Inc. C.-R.Y. and M.-L.O. are employees of Pfizer and hold stock options with Pfizer. T.C. is a THAOS investigator and member of the THAOS Scientific Board; and has served as a medical advisor for Pfizer and received honoraria for presentations; and received funding from Pfizer for scientific meeting expenses (travel, accommodation, and registration). C.R. is a THAOS investigator and member of the THAOS Scientific Board; and has served as a medical advisor for Pfizer and received honoraria. His institution has received grant support from Pfizer; has served on the scientific advisory board of, and received funding from, Pfizer for scientific meeting expenses (travel, accommodation, and registration).

References

1

Plante-Bordeneuve
 
V
,
Said
 
G.
 
Familial amyloid polyneuropathy
.
Lancet Neurol
 
2011
;
10
:
1086
1097
.

2

Rapezzi
 
C
,
Quarta
 
CC
,
Riva
 
L
,
Longhi
 
S
,
Gallelli
 
I
,
Lorenzini
 
M
,
Ciliberti
 
P
,
Biagini
 
E
,
Salvi
 
F
,
Branzi
 
A.
 
Transthyretin-related amyloidoses and the heart: a clinical overview
.
Nat Rev Cardiol
 
2010
;
7
:
398
408
.

3

Elliott
 
P
,
Andersson
 
B
,
Arbustini
 
E
,
Bilinska
 
Z
,
Cecchi
 
F
,
Charron
 
P
,
Dubourg
 
O
,
Kuhl
 
U
,
Maisch
 
B
,
McKenna
 
WJ
,
Monserrat
 
L
,
Pankuweit
 
S
,
Rapezzi
 
C
,
Seferovic
 
P
,
Tavazzi
 
L
,
Keren
 
A.
 
Classification of the cardiomyopathies: a position statement from the European Society Of Cardiology Working Group on Myocardial and Pericardial Diseases
.
Eur Heart J
 
2008
;
29
:
270
276
.

4

Buxbaum
 
JN
,
Tagoe
 
CE.
 
The genetics of the amyloidoses
.
Annu Rev Med
 
2000
;
51
:
543
569
.

5

Connors
 
LH
,
Lim
 
A
,
Prokaeva
 
T
,
Roskens
 
VA
,
Costello
 
CE.
 
Tabulation of human transthyretin (TTR) variants, 2003
.
Amyloid
 
2003
;
10
:
160
184
.

6

Rowczenio
 
DM
,
Noor
 
I
,
Gillmore
 
JD
,
Lachmann
 
HJ
,
Whelan
 
C
,
Hawkins
 
PN
,
Obici
 
L
,
Westermark
 
P
,
Grateau
 
G
,
Wechalekar
 
AD.
 
Online registry for mutations in hereditary amyloidosis including nomenclature recommendations
.
Hum Mutat
 
2014
;
35
:
E2403
E2412
.

7

Andrade
 
C.
 
A peculiar form of peripheral neuropathy; familiar atypical generalized amyloidosis with special involvement of the peripheral nerves
.
Brain
 
1952
;
75
:
408
427
.

8

Parman
 
Y
,
Adams
 
D
,
Obici
 
L
,
Galan
 
L
,
Guergueltcheva
 
V
,
Suhr
 
OB
,
Coelho
 
T.
 
Sixty years of transthyretin familial amyloid polyneuropathy (TTR-FAP) in Europe: where are we now? A European network approach to defining the epidemiology and management patterns for TTR-FAP
.
Curr Opin Neurol
 
2016
;
29
(Suppl 1):
S3
S13
.

9

Carr
 
AS
,
Pelayo-Negro
 
AL
,
Evans
 
MR
,
Laura
 
M
,
Blake
 
J
,
Stancanelli
 
C
,
Iodice
 
V
,
Wechalekar
 
AD
,
Whelan
 
CJ
,
Gillmore
 
JD
,
Hawkins
 
PN
,
Reilly
 
MM.
 
A study of the neuropathy associated with transthyretin amyloidosis (ATTR) in the UK
.
J Neurol Neurosurg Psychiatry
 
2016
;
87
:
620
627
.

10

Rapezzi
 
C
,
Quarta
 
CC
,
Obici
 
L
,
Perfetto
 
F
,
Longhi
 
S
,
Salvi
 
F
,
Biagini
 
E
,
Lorenzini
 
M
,
Grigioni
 
F
,
Leone
 
O
,
Cappelli
 
F
,
Palladini
 
G
,
Rimessi
 
P
,
Ferlini
 
A
,
Arpesella
 
G
,
Pinna
 
AD
,
Merlini
 
G
,
Perlini
 
S.
 
Disease profile and differential diagnosis of hereditary transthyretin-related amyloidosis with exclusively cardiac phenotype: an Italian perspective
.
Eur Heart J
 
2013
;
34
:
520
528
.

11

Hornsten
 
R
,
Pennlert
 
J
,
Wiklund
 
U
,
Lindqvist
 
P
,
Jensen
 
SM
,
Suhr
 
OB.
 
Heart complications in familial transthyretin amyloidosis: impact of age and gender
.
Amyloid
 
2010
;
17
:
63
68
.

12

Conceicao
 
I
,
De Carvalho
 
M.
 
Clinical variability in type I familial amyloid polyneuropathy (Val30Met): comparison between late- and early-onset cases in Portugal
.
Muscle Nerve
 
2007
;
35
:
116
118
.

13

Zaros
 
C
,
Genin
 
E
,
Hellman
 
U
,
Saporta
 
MA
,
Languille
 
L
,
Wadington-Cruz
 
M
,
Suhr
 
O
,
Misrahi
 
M
,
Planté-Bordeneuve
 
V.
 
On the origin of the transthyretin Val30Met familial amyloid polyneuropathy
.
Ann Hum Genet
 
2008
;
72
:
478
484
.

14

Suhr
 
OB
,
Lundgren
 
E
,
Westermark
 
P.
 
One mutation, two distinct disease variants: unravelling the impact of transthyretin amyloid fibril composition
.
J Intern Med
 
2017
;
281
:
337
347
.

15

Castano
 
A
,
Drachman
 
BM
,
Judge
 
D
,
Maurer
 
MS.
 
Natural history and therapy of TTR-cardiac amyloidosis: emerging disease-modifying therapies from organ transplantation to stabilizer and silencer drugs
.
Heart Fail Rev
 
2015
;
20
:
163
178
.

16

Elliott
 
PM
,
Anastasakis
 
A
,
Borger
 
MA
,
Borggrefe
 
M
,
Cecchi
 
F
,
Charron
 
P
,
Hagege
 
AA
,
Lafont
 
A
,
Limongelli
 
G
,
Mahrholdt
 
H
,
McKenna
 
WJ
,
Mogensen
 
J
,
Nihoyannopoulos
 
P
,
Nistri
 
S
,
Pieper
 
PG
,
Pieske
 
B
,
Rapezzi
 
C
,
Rutten
 
FH
,
Tillmanns
 
C
,
Watkins
 
H.
 
2014 ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy: the Task Force for the Diagnosis and Management of Hypertrophic Cardiomyopathy of the European Society of Cardiology (ESC)
.
Eur Heart J
 
2014
;
35
:
2733
2779
.

17

Adams
 
D
,
Gonzalez-Duarte
 
A
,
O’Riordan
 
WD
,
Yang
 
C-C
,
Ueda
 
M
,
Kristen
 
AV
,
Tournev
 
I
,
Schmidt
 
HH
,
Coelho
 
T
,
Berk
 
JL
,
Lin
 
K-P
,
Vita
 
G
,
Attarian
 
S
,
Planté-Bordeneuve
 
V
,
Mezei
 
MM
,
Campistol
 
JM
,
Buades
 
J
,
Brannagan
 
TH
,
Kim
 
BJ
,
Oh
 
J
,
Parman
 
Y
,
Sekijima
 
Y
,
Hawkins
 
PN
,
Solomon
 
SD
,
Polydefkis
 
M
,
Dyck
 
PJ
,
Gandhi
 
PJ
,
Goyal
 
S
,
Chen
 
J
,
Strahs
 
AL
,
Nochur
 
SV
,
Sweetser
 
MT
,
Garg
 
PP
,
Vaishnaw
 
AK
,
Gollob
 
JA
,
Suhr
 
OB.
 
Patisiran, an RNAi therapeutic, for hereditary transthyretin amyloidosis
.
N Engl J Med
 
2018
;
379
:
11
21
.

18

Benson
 
MD
,
Waddington-Cruz
 
M
,
Berk
 
JL
,
Polydefkis
 
M
,
Dyck
 
PJ
,
Wang
 
AK
,
Plante-Bordeneuve
 
V
,
Barroso
 
FA
,
Merlini
 
G
,
Obici
 
L
,
Scheinberg
 
M
,
Brannagan
 
TH
 3rd
,
Litchy
 
WJ
,
Whelan
 
C
,
Drachman
 
BM
,
Adams
 
D
,
Heitner
 
SB
,
Conceicao
 
I
,
Schmidt
 
HH
,
Vita
 
G
,
Campistol
 
JM
,
Gamez
 
J
,
Gorevic
 
PD
,
Gane
 
E
,
Shah
 
AM
,
Solomon
 
SD
,
Monia
 
BP
,
Hughes
 
SG
,
Kwoh
 
TJ
,
McEvoy
 
BW
,
Jung
 
SW
,
Baker
 
BF
,
Ackermann
 
EJ
,
Gertz
 
MA
,
Coelho
 
T.
 
Inotersen treatment for patients with hereditary transthyretin amyloidosis
.
N Engl J Med
 
2018
;
379
:
22
31
.

19

Maurer
 
MS
,
Schwartz
 
JH
,
Gundapaneni
 
B
,
Elliott
 
PM
,
Merlini
 
G
,
Waddington Cruz
 
M
,
Kristen
 
AV
,
Grogan
 
DR
,
Witteles
 
R
,
Damy
 
T
,
Drachman
 
B
,
Shah
 
SJ
,
Hanna
 
M
,
Judge
 
DP
,
Barsdorf
 
AI
,
Huber
 
P
,
Patterson
 
TA
,
Riley
 
S
,
Schumacher
 
J
,
Stewart
 
M
,
Sultan
 
MB
,
Rapezzi
 
C
;
ATTR-ACT Study Investigators. Tafamidis treatment for patients with transthyretin amyloid cardiomyopathy
.
N Engl J Med
 
2018
;
379
:
1007
1016
.

20

Plante-Bordeneuve
 
V
,
Suhr
 
OB
,
Maurer
 
MS
,
White
 
B
,
Grogan
 
DR
,
Coelho
 
T.
 
The transthyretin amyloidosis outcomes survey (THAOS) registry: design and methodology
.
Curr Med Res Opin
 
2013
;
29
:
77
84
.

21

Jacobson
 
DR
,
Alexander
 
AA
,
Tagoe
 
C
,
Buxbaum
 
JN.
 
Prevalence of the amyloidogenic transthyretin (TTR) V122I allele in 14 333 African-Americans
.
Amyloid
 
2015
;
22
:
171
174
.

22

Svendsen
 
IH
,
Steensgaard-Hansen
 
F
,
Nordvag
 
BY.
 
A clinical, echocardiographic and genetic characterization of a Danish kindred with familial amyloid transthyretin methionine 111 linked cardiomyopathy
.
Eur Heart J
 
1998
;
19
:
782
789
.

23

Sattianayagam
 
PT
,
Hahn
 
AF
,
Whelan
 
CJ
,
Gibbs
 
SD
,
Pinney
 
JH
,
Stangou
 
AJ
,
Rowczenio
 
D
,
Pflugfelder
 
PW
,
Fox
 
Z
,
Lachmann
 
HJ
,
Wechalekar
 
AD
,
Hawkins
 
PN
,
Gillmore
 
JD.
 
Cardiac phenotype and clinical outcome of familial amyloid polyneuropathy associated with transthyretin alanine 60 variant
.
Eur Heart J
 
2012
;
33
:
1120
1127
.

24

Almeida
 
MR
,
Hesse
 
A
,
Steinmetz
 
A
,
Maisch
 
B
,
Altland
 
K
,
Linke
 
RP
,
Gawinowicz
 
MA
,
Saraiva
 
MJ.
 
Transthyretin Leu 68 in a form of cardiac amyloidosis
.
Basic Res Cardiol
 
1991
;
86
:
567
571
.

25

Maurer
 
MS
,
Hanna
 
M
,
Grogan
 
M
,
Dispenzieri
 
A
,
Witteles
 
R
,
Drachman
 
B
,
Judge
 
DP
,
Lenihan
 
DJ
,
Gottlieb
 
SS
,
Shah
 
SJ
,
Steidley
 
DE
,
Ventura
 
H
,
Murali
 
S
,
Silver
 
MA
,
Jacoby
 
D
,
Fedson
 
S
,
Hummel
 
SL
,
Kristen
 
AV
,
Damy
 
T
,
Plante-Bordeneuve
 
V
,
Coelho
 
T
,
Mundayat
 
R
,
Suhr
 
OB
,
Waddington Cruz
 
M
,
Rapezzi
 
C.
 
Genotype and phenotype of transthyretin cardiac amyloidosis: THAOS (Transthyretin Amyloid Outcome Survey)
.
J Am Coll Cardiol
 
2016
;
68
:
161
172
.

26

Reilly
 
MM
,
Staunton
 
H
,
Harding
 
AE.
 
Familial amyloid polyneuropathy (TTR ala 60) in North West Ireland: a clinical, genetic, and epidemiological study
.
J Neurol Neurosurg Psychiatry
 
1995
;
59
:
45
49
.

27

Grogan
 
M
,
Scott
 
CG
,
Kyle
 
RA
,
Zeldenrust
 
SR
,
Gertz
 
MA
,
Lin
 
G
,
Klarich
 
KW
,
Miller
 
WL
,
Maleszewski
 
JJ
,
Dispenzieri
 
A.
 
Natural history of wild-type transthyretin cardiac amyloidosis and risk stratification using a novel staging system
.
J Am Coll Cardiol
 
2016
;
68
:
1014
1020
.

28

Suhr
 
OB
,
Svendsen
 
IH
,
Andersson
 
R
,
Danielsson
 
A
,
Holmgren
 
G
,
Ranlov
 
PJ.
 
Hereditary transthyretin amyloidosis from a Scandinavian perspective
.
J Intern Med
 
2003
;
254
:
225
235
.

29

Damy
 
T
,
Costes
 
B
,
Hagège
 
AA
,
Donal
 
E
,
Eicher
 
J-C
,
Slama
 
M
,
Guellich
 
A
,
Rappeneau
 
S
,
Gueffet
 
J-P
,
Logeart
 
D
,
Planté-Bordeneuve
 
V
,
Bouvaist
 
H
,
Huttin
 
O
,
Mulak
 
G
,
Dubois-Randé
 
J-L
,
Goossens
 
M
,
Canoui-Poitrine
 
F
,
Buxbaum
 
JN.
 
Prevalence and clinical phenotype of hereditary transthyretin amyloid cardiomyopathy in patients with increased left ventricular wall thickness
.
Eur Heart J
 
2016
;
37
:
1826
1834
.

30

Cariou
 
E
,
Bennani Smires
 
Y
,
Victor
 
G
,
Robin
 
G
,
Ribes
 
D
,
Pascal
 
P
,
Petermann
 
A
,
Fournier
 
P
,
Faguer
 
S
,
Roncalli
 
J
,
Rousseau
 
H
,
Chauveau
 
D
,
Carrie
 
D
,
Berry
 
I
,
Galinier
 
M
,
Lairez
 
O
; Toulouse Amyloidosis Research Network Collaborators.
Diagnostic score for the detection of cardiac amyloidosis in patients with left ventricular hypertrophy and impact on prognosis
.
Amyloid
 
2017
;
24
:
101
109
.

31

Gonzalez-Lopez
 
E
,
Gallego-Delgado
 
M
,
Guzzo-Merello
 
G
,
de Haro-Del Moral
 
FJ
,
Cobo-Marcos
 
M
,
Robles
 
C
,
Bornstein
 
B
,
Salas
 
C
,
Lara-Pezzi
 
E
,
Alonso-Pulpon
 
L
,
Garcia-Pavia
 
P.
 
Wild-type transthyretin amyloidosis as a cause of heart failure with preserved ejection fraction
.
Eur Heart J
 
2015
;
36
:
2585
2594
.

32

Hellman
 
U
,
Lundgren
 
HE
,
Westermark
 
P
,
Stafberg
 
C
,
Nahi
 
H
,
Tachlinski
 
S
,
Guggi
 
M
,
Flogegard
 
M
,
Hamid
 
M
,
Escher
 
SA
,
Suhr
 
OB.
 
A genealogical and clinical study of the phenotypical variation within the Swedish transthyretin His88Arg (p. His108Arg) amyloidosis family
.
Eur J Med Genet
 
2015
;
58
:
211
215
.

33

Bauer
 
R
,
Dikow
 
N
,
Brauer
 
A
,
Kreuter
 
M
,
Buss
 
S
,
Evers
 
C
,
Rocken
 
C
,
Schnabel
 
PA
,
Hinderhofer
 
K
,
Ehlermann
 
P
,
Katus
 
HA
,
Kristen
 
AV.
 
The “Wagshurst study”: P.Val40Ile transthyretin gene variant causes late-onset cardiomyopathy
.
Amyloid
 
2014
;
21
:
267
275
.

34

Rapezzi
 
C
,
Merlini
 
G
,
Quarta
 
CC
,
Riva
 
L
,
Longhi
 
S
,
Leone
 
O
,
Salvi
 
F
,
Ciliberti
 
P
,
Pastorelli
 
F
,
Biagini
 
E
,
Coccolo
 
F
,
Cooke
 
RM
,
Bacchi-Reggiani
 
L
,
Sangiorgi
 
D
,
Ferlini
 
A
,
Cavo
 
M
,
Zamagni
 
E
,
Fonte
 
ML
,
Palladini
 
G
,
Salinaro
 
F
,
Musca
 
F
,
Obici
 
L
,
Branzi
 
A
,
Perlini
 
S.
 
Systemic cardiac amyloidoses: disease profiles and clinical courses of the 3 main types
.
Circulation
 
2009
;
120
:
1203
1212
.

35

Rapezzi
 
C
,
Riva
 
L
,
Quarta
 
CC
,
Perugini
 
E
,
Salvi
 
F
,
Longhi
 
S
,
Ciliberti
 
P
,
Pastorelli
 
F
,
Biagini
 
E
,
Leone
 
O
,
Cooke
 
RM
,
Bacchi-Reggiani
 
L
,
Ferlini
 
A
,
Cavo
 
M
,
Merlini
 
G
,
Perlini
 
S
,
Pasquali
 
S
,
Branzi
 
A.
 
Gender-related risk of myocardial involvement in systemic amyloidosis
.
Amyloid
 
2008
;
15
:
40
48
.

36

Arvidsson
 
S
,
Pilebro
 
B
,
Westermark
 
P
,
Lindqvist
 
P
,
Suhr
 
OB.
 
Amyloid cardiomyopathy in hereditary transthyretin V30M amyloidosis–impact of sex and amyloid fibril composition
.
PLoS One
 
2015
;
10
:
e0143456.

37

Lie
 
JT
,
Hammond
 
PI.
 
Pathology of the senescent heart: anatomic observations on 237 autopsy studies of patients 90 to 105 years old
.
Mayo Clin Proc
 
1988
;
63
:
552
564
.

38

Mohammed
 
SF
,
Mirzoyev
 
SA
,
Edwards
 
WD
,
Dogan
 
A
,
Grogan
 
DR
,
Dunlay
 
SM
,
Roger
 
VL
,
Gertz
 
MA
,
Dispenzieri
 
A
,
Zeldenrust
 
SR
,
Redfield
 
MM.
 
Left ventricular amyloid deposition in patients with heart failure and preserved ejection fraction
.
JACC Heart Fail
 
2014
;
2
:
113
122
.

39

Damy
 
T
,
Maurer
 
MS
,
Rapezzi
 
C
,
Plante-Bordeneuve
 
V
,
Karayal
 
ON
,
Mundayat
 
R
,
Suhr
 
OB
,
Kristen
 
AV.
 
Clinical, ECG and echocardiographic clues to the diagnosis of TTR-related cardiomyopathy
.
Open Heart
 
2016
;
3
:
e000289.

40

Kristen
 
AV
,
Maurer
 
MS
,
Rapezzi
 
C
,
Mundayat
 
R
,
Suhr
 
OB
,
Damy
 
T.
 
Impact of genotype and phenotype on cardiac biomarkers in patients with transthyretin amyloidosis–report from the Transthyretin Amyloidosis Outcome Survey (THAOS)
.
PLoS One
 
2017
;
12
:
e0173086.

41

Ericzon
 
BG
,
Wilczek
 
HE
,
Larsson
 
M
,
Wijayatunga
 
P
,
Stangou
 
A
,
Pena
 
JR
,
Furtado
 
E
,
Barroso
 
E
,
Daniel
 
J
,
Samuel
 
D
,
Adam
 
R
,
Karam
 
V
,
Poterucha
 
J
,
Lewis
 
D
,
Ferraz-Neto
 
BH
,
Cruz
 
MW
,
Munar-Ques
 
M
,
Fabregat
 
J
,
Ikeda
 
S
,
Ando
 
Y
,
Heaton
 
N
,
Otto
 
G
,
Suhr
 
O.
 
Liver transplantation for hereditary transthyretin amyloidosis: after 20 years still the best therapeutic alternative?
 
Transplantation
 
2015
;
99
:
1847
1854
.

42

Suhr
 
OB
,
Larsson
 
M
,
Ericzon
 
BG
,
Wilczek
 
HE.
 
Survival after transplantation in patients with mutations other than Val30Met: extracts from the FAP World Transplant Registry
.
Transplantation
 
2016
;
100
:
373
381
.

Author notes

A full list of THAOS Investigators in Europe is provided in the Supplementary material online, Appendix.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact [email protected]

Supplementary data