Literature DB >> 32078212

Light-chain and transthyretin cardiac amyloidosis in severe aortic stenosis: prevalence, screening possibilities, and outcome.

Christian Nitsche1, Stefan Aschauer1, Andreas A Kammerlander1, Matthias Schneider1, Thomas Poschner1, Franz Duca1, Christina Binder1, Matthias Koschutnik1, Julian Stiftinger1, Georg Goliasch1, Jolanta Siller-Matula1, Max-Paul Winter1, Anahit Anvari-Pirsch1, Martin Andreas2, Alexander Geppert3, Dietrich Beitzke4, Christian Loewe4, Marcus Hacker5, Hermine Agis6, Renate Kain7, Irene Lang1, Diana Bonderman1, Christian Hengstenberg1, Julia Mascherbauer1.   

Abstract

AIMS: Concomitant cardiac amyloidosis (CA) in severe aortic stenosis (AS) is difficult to recognize, since both conditions are associated with concentric left ventricular thickening. We aimed to assess type, frequency, screening parameters, and prognostic implications of CA in AS. METHODS AND
RESULTS: A total of 191 consecutive AS patients (81.2 ± 7.4 years; 50.3% female) scheduled for transcatheter aortic valve replacement (TAVR) were prospectively enrolled. Overall, 81.7% underwent complete assessment including echocardiography with strain analysis, electrocardiography (ECG), cardiac magnetic resonance imaging (CMR), 99m Tc-DPD scintigraphy, serum and urine free light chain measurement, and myocardial biopsy in immunoglobulin light chain (AL)-CA. Voltage/mass ratio (VMR; Sokolow-Lyon index on ECG/left ventricular mass index) and stroke volume index (SVi) were tested as screening parameters. Receiver operating characteristic curve, binary logistic regression, and Kaplan-Meier curve analyses were performed. CA was found in 8.4% of patients (n = 16); 15 had transthyretin (TTR)-CA and one AL-CA. While global longitudinal strain by echo did not reliably differentiate AS from CA-AS [area under the curve (AUC) 0.643], VMR as well as SVi showed good discriminative power (AUC 0.770 and 0.773, respectively), which was comparable to extracellular volume by CMR (AUC 0.756). Also, VMR and SVi were independently associated with CA by multivariate logistic regression analysis (P = 0.016 and P = 0.027, respectively). CA did not significantly affect survival 15.3 ± 7.9 months after TAVR (P = 0.972).
CONCLUSION: Both TTR- and AL-CA can accompany severe AS. Parameters solely based on ECG and echocardiography allow for the identification of the majority of CA-AS. In the present cohort, CA did not significantly worsen prognosis 15.3 months after TAVR.
© 2020 The Authors. European Journal of Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.

Entities:  

Keywords:  Aortic stenosis; Cardiac amyloidosis; Prognosis; Screening; Transcatheter aortic valve replacement

Mesh:

Substances:

Year:  2020        PMID: 32078212      PMCID: PMC7687139          DOI: 10.1002/ejhf.1756

Source DB:  PubMed          Journal:  Eur J Heart Fail        ISSN: 1388-9842            Impact factor:   15.534


Introduction

Degenerative aortic stenosis (AS) and cardiac amyloidosis (CA) are both frequent and serious conditions in the elderly, causing considerable treatment expenditure. , CA is caused by myocardial deposition of amyloid fibrils. The two predominant amyloid proteins found in the heart are transthyretin (TTR) and immunoglobulin light chain (AL). Expansion of the extracellular space resulting from amyloid deposition leads to myocardial stiffening and restrictive filling of the left ventricle. In addition, AL amyloid may exhibit direct toxic effects on myocardial cells impairing systolic left ventricular (LV) function. , , Affected patients develop severe heart failure and face a dismal prognosis. Formerly believed to be a rare condition, the use of modern diagnostic modalities such as cardiac magnetic resonance (CMR) imaging and 99mTc‐labeled 3,3‐diphosphono‐1,2‐propanodicarboxylic acid (99mTc‐DPD) bone scintigraphy have recently led to a considerable increase in the detection of CA. , Latest studies have drawn attention to coexisting CA in patients with degenerative AS. , , , , In these patients, significant myocardial thickening is naturally attributed to long‐standing pressure overload and not recognized as a potential sign for the presence of a storage disease. Coexisting CA in patients with AS has been reported to be associated with worse outcome. Furthermore, management of these patients is a matter of discussion since they may benefit less from surgical (SAVR) or transcatheter aortic valve replacement (TAVR). Present data on CA in AS patients largely rely on CMR, transthoracic echocardiography, and bone scintigraphy as diagnostic tools. 99mTc‐DPD bone scintigraphy allows for non‐invasive detection of TTRCA with high diagnostic sensitivity and specificity. However, in ALCA 99mTc‐DPD scintigraphy may be unremarkable and assessment of serum and urine samples as well as myocardial biopsy may be required to establish the exact diagnosis. Previous studies on CA in AS have not described any cases of ALCA. , The presence of TTRCA has been linked to worse outcomes following SAVR. , Patients in these former studies were significantly younger as compared to a classic TAVR cohort. Therefore, at this stage it is unclear whether concomitant CA also holds worse survival implications for patients undergoing TAVR. As the prevalence of AS is high, comprehensive systematic screening for concomitant CA is difficult, if not sometimes impossible. Many cardiovascular centres lack nuclear imaging facilities and will not always have oncologists available to discuss serum/urine sample reports. CMR including contrast studies is also not applicable in every single AS patient. Thus, screening possibilities solely on the basis of echocardiography and electrocardiogram (ECG) would be an important step forward. The present study was designed to systematically assess the prevalence of both TTR‐ and ALCA in degenerative AS scheduled for TAVR, to investigate the impact of CA on survival following TAVR, and to evaluate parameters based on echocardiography and ECG that may suggest the presence of CA.

Methods

Study population

Between October 2017 and January 2019, we prospectively enrolled consecutive adult patients with severe degenerative AS scheduled for TAVR at the Vienna General Hospital, a university‐affiliated tertiary centre. Eligibility and decision for TAVR were determined by a multidisciplinary Heart Team. Patients underwent clinical and laboratory assessment, ECG, transthoracic echocardiography with strain rate analysis, CMR, and 99mTc‐DPD bone scintigraphy prior to TAVR. Overall, 81.7% (n = 156/191) underwent all diagnostic modalities, 18.3% (n = 35/191) had contraindications precluding CMR (Figure 1). In case of suspicion of ALCA (presence of monoclonal protein on serum or urine immunofixation ± abnormal free light chain ratio on serum analysis ± abnormal urine protein/creatinine or albumin/creatinine ratio AND abnormal findings on CMR or bone scintigraphy, n = 2), right ventricular myocardial biopsy was performed. Patients were followed by echocardiography, ECG, and clinical and laboratory assessment. All‐cause death and cardiovascular hospitalization were selected as primary and secondary study endpoints, respectively. All patients provided written informed consent. The study was approved by the Ethics Committee of the Medical University of Vienna (EK no. 2218/2016).
Figure 1

Patient population: 238 patients scheduled for transcatheter aortic valve replacement (TAVR) were screened. Reasons for exclusion and screening modalities are displayed. AS, aortic stenosis; CA, cardiac amyloidosis; CMR, cardiac magnetic resonance; 99mTc‐DPD, 99mTc‐labelled 3,3‐diphosphono‐1,2‐propanodicarboxylic‐acid scintigraphy; echo, transthoracic echocardiography.

Patient population: 238 patients scheduled for transcatheter aortic valve replacement (TAVR) were screened. Reasons for exclusion and screening modalities are displayed. AS, aortic stenosis; CA, cardiac amyloidosis; CMR, cardiac magnetic resonance; 99mTc‐DPD, 99mTc‐labelled 3,3‐diphosphono‐1,2‐propanodicarboxylic‐acid scintigraphy; echo, transthoracic echocardiography.

Diagnosis of cardiac amyloidosis

Transthyretin CA was defined as the presence of cardiac tracer uptake Perugini grade ≥ 2 on bone scintigraphy in patients with unremarkable serum and urine free light chain assessment. ALCA was diagnosed if endomyocardial or extracardiac biopsy specimen and consecutive immunohistochemical analysis revealed deposition of light chains, combined with elevated serum or urine levels of the corresponding monoclonal light chain. In AL cases with extracardiac biopsies only, cardiac imaging indicating cardiac involvement was required for establishing the diagnosis.

Clinical, laboratory and electrocardiographic assessment

For the detection of pathological light chains underlying ALCA, laboratory testing included serum electrophoresis, immunoglobin and free light chain quantification and immunofixation. Urine analysis consisted of electrophoresis, immunofixation, protein/creatinine ratio and albumin/creatinine ratio. Rare causes of CA were ruled out via quantification of serum amyloid A and β2‐microglobulin. Additionally, N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) serum levels were determined in all patients. Electrocardiograms were recorded according to current recommendations. Voltage/mass ratio (VMR) was determined in patients without bundle branch block and paced rhythm by dividing the Sokolow–Lyon index by the LV mass index on echocardiography. The Sokolow–Lyon index was calculated as the sum of precordial voltage [S‐wave in lead V1 plus R‐wave in lead V5 or V6 (SV1 + RV5 or V6)].

Echocardiographic assessment

Transthoracic echocardiography was performed by board certified cardiologists with echocardiography systems equipped with 3.5 MHz transducers (Vivid E95, Vivid E9, Vivid S70; General Electric Healthcare). LV ejection fraction was calculated with the biplane Simpson's method and valvular stenosis and regurgitation severity were quantified according to the respective guidelines. Strain analysis was performed in the 4‐, 3‐, and 2‐chamber apical views. Regional longitudinal strain (LS) was determined in 17 segments of the left ventricle. Global LS was calculated as the average LS of these 17 segments. Relative apical LS was calculated as average apical LS/(average basal LS + average mid LS). LV mass was determined by anatomical M‐mode as previously described. LV stroke volume was derived from the LV outflow tract pulsed‐wave Doppler signals and indexed to body surface area to receive stroke volume index (SVi). Myocardial contraction fraction was calculated as the ratio of stroke volume to myocardial volume, with the latter being calculated from linear dimensions in the parasternal long‐axis view.

Cardiac magnetic resonance imaging

Cardiac magnetic resonance examinations were performed on a 1.5 T scanner (MAGNETOM Avanto; Siemens Healthcare GmbH, Erlangen, Germany), following standard protocols that included late gadolinium enhancement (LGE) imaging (0.1 mmol/kg gadobutrol; Gadovist, Bayer Vital GmbH, Leverkusen, Germany) if estimated glomerular filtration rate was ≥30 mL/min/1.73 m2. At the time of insertion of the intravenous cannula, blood was drawn for haematocrit and serum creatinine measurement. For analysis of LGE images, two independent reviewers judged whether a typical pattern for CA was present or not. Electrocardiographically triggered modified look‐locker inversion recovery (MOLLI) using a 5(3)3 prototype (5 acquisition heartbeats followed by three recovery heartbeats and further three acquisition heartbeats) was applied for pre‐contrast T1 mapping. This method generates an inline, pixel‐based T1 map by acquiring a series of images over several heartbeats with shifted T1 times, inline motion correction, and inline calculation of the T1 relaxation curve within one breath hold. T1 sequence parameters were as follows: starting inversion time 120 ms, inversion time increment 80 ms, reconstructed matrix size 256 × 218, and measured matrix size 256 × 144 (phase‐encoding resolution 66% and phase‐encoding field of view 85%). T1 maps were created both before and 15 min after contrast agent application. For post‐contrast T1 mapping, a 4(1)3(1)2 prototype was used. T1 values from a midcavity short‐axis slice and a midcavity 4‐chamber view were averaged for assessment of entire LV myocardium. For extracellular volume (ECV) calculation the following formula was used : T1 myo pre/T1 blood pre indicates myocardial/blood native T1 times and T1 myo post/T1 blood post indicates T1 times of myocardium/blood 15 min after gadobutrol application. The local reference range for normal MOLLI‐ECV values is 25.4 ± 2.7%, derived from 36 healthy sex‐matched controls. ECV quantification applying the MOLLI sequence has been shown to correlate strongly with histological fibrosis.

99mTc‐DPD bone scintigraphy

All patients were scanned using either a General Electric (GE) Infinia Hawkeye 4 or GE Discovery 670 hybrid gamma camera 3 h after intravenous administration of 700 MBq of 99mTc‐DPD. Whole body images were acquired at a scan speed of 10 cm/min using low‐energy high‐resolution collimators. The expected radiation dose from the entire procedure was 4 mSv per patient. Intensity of myocardial uptake on planar 99mTc‐DPD bone scintigraphy was categorized as 0–3 according to the Perugini grading system. This visual categorization can be summed up as follows: grade 0, no cardiac uptake and normal bone uptake; grade 1, cardiac uptake which is less intense than the bone signal; grade 2, cardiac uptake with intensity similar or greater than bone signal; and grade 3, cardiac uptake with much attenuated or absent bone signal. The heart‐to‐contralateral ratio was determined by drawing a region of interest over the heart, copying it and mirroring it over the contralateral chest.

Myocardial biopsy and genetic testing

Biopsies were harvested from the left ventricle using a 6 F bioptome. Histological analysis was performed by Congo red staining on 6 μm formalin‐fixed and paraffin‐embedded sections and viewed in brightfield and cross‐polarized light. When amyloid was confirmed by displaying apple green birefringence under cross‐polars, immunohistochemical analysis (AmY‐kit amyloid antibodies, Martinsried, Germany) was performed to determine the amyloid subtype. For genetic testing in patients with TTRCA, the complete coding regions of the TTR gene were amplified by polymerase chain reaction assay. Amplified DNA fragments were directly sequenced using an ABI 3130xl Genetic Analyzer (Applied Biosystems).

Statistical methods

Continuous data are expressed as mean ± standard deviation (SD), or as median with corresponding interquartile range (IQR) and categorical variables are presented as percentages or total numbers. Differences between groups were analysed with the Wilcoxon rank sum test. Chi‐square tests or Fisher exact tests were used for categorical variables as appropriate. To analyse ECV expansion with respect to different health conditions, MOLLI‐ECV was presented as mean ± SD and compared using box‐plots. To estimate the discriminative power of parameters in the distinction of AS and CA‐AS, areas under the corresponding receiver operating characteristic (ROC) curves with respective 95% confidence intervals (CI) were established and compared. Uni‐ and multivariate binary logistic regression analysis were applied to evaluate the association of parameters with the presence of CA. For each group (baseline clinical, echo‐, and electrocardiographic values) multivariate analysis was performed using a stepwise forward selection with the cut‐off P‐value to enter the multivariate model being ≤ 0.05 (online supplementary Table S2). The parameter remaining in the model was then selected to enter the final multivariate non‐stepwise analysis alongside with SVi and VMR, respectively. To allow better comparison between continuous parameters within the multivariate model, scaled hazard ratios (Z‐scores) were created by subtracting the mean from individual values and dividing them by the respective SD. Kaplan–Meier curves were used to evaluate the prognostic significance of CA in patients after TAVR. A P‐value ≤ 0.05 was considered statistically significant. All statistical analyses were computed using SPSS 24 (IBM SPSS, Chicago, IL, USA).

Results

Patient population

A total of 238 consecutive patients scheduled for TAVR were included (online supplementary Table ). Contraindications for CMR were present in 46 subjects, who were still included in the final analysis if the remaining screening was complete (n = 35). Whenever ALCA was suspected, patients underwent additional bone marrow and myocardial biopsy. The patient population eligible for final analysis is displayed in Figure 1. In total, 16 (8.4%) CA cases were observed. TTRCA was diagnosed in 15 subjects, one patient suffered from ALCA. Genetic analysis confirmed wild‐type TTR amyloidosis in all 15 cases, the patient with ALamyloidosis had monoclonal IgG gammopathy with excess production of κ‐light chains. Detailed baseline characteristics of patients stratified according to presence of coexisting CA are displayed in Tables 1 and 2. Patients with CA were older [84.0 years (IQR 82.0–89.0) vs. 82.0 years (77.0–85.2), P = 0.024], had lower systolic blood pressure levels [119 mmHg (108–130) vs. 132 mmHg (120–145); P = 0.010], and a higher prevalence of cardiac pacemakers pre‐TAVR (31.2% vs. 11.7%; P = 0.040) as compared to AS subjects without concomitant CA. Regarding the cardiovascular risk profile, no significant differences were observed between groups. NT‐proBNP [3634 ng/dL (1241–6323) vs. 1839 ng/dL (727–5664)] as well as troponin T serum levels [47.0 ng/L (24.0–72.0) vs. 28.0 ng/L (20.0–48.7)] did not differ significantly between CA and non‐CA (P for both >0.05).
Table 1

Baseline clinical parameters

All patients (n = 191)No CA (n = 175, 91.6%)CA (n = 16, 8.4%) P‐value
Age, years82.0 (78.0–86.0)82.0 (77.0–85.2)84.0 (81.0–89.0) 0.024
Male sex49.748.362.50.196
BMI, kg/m2 26.1 (23.4–29.7)26.1 (23.5–29.9)25.7 (22.9–29.5)0.405
Arterial hypertension87.387.287.50.904
Systolic BP, mmHg130 (118–145)132 (120–145)119 (108–130) 0.010
Diastolic BP, mmHg67 (58–78)67 (58–78)67 (60–78)0.908
Pre‐interventional PM13.111.731.2 0.040
Diabetes26.225.931.20.751
Atrial fibrillation37.735.656.30.060
Hyperlipidaemia66.065.568.80.673
CAD48.750.037.50.247
PAD12.213.50.00.107
Severe symptomatic AS stage 0.026
High gradient72.375.443.8
LF‐LG + EF <50%9.49.212.5
LF‐LG + EF ≥50%18.215.543.8
NYHA class ≥III62.462.462.50.995
CCS class ≥III7.27.36.30.875
Syncope10.912.00.00.142
Troponin T, ng/L29 (20–50)28 (20–49)47 (24–72)0.107
NT‐proBNP, ng/dL1917 (783–5893)1839 (727–5664)3634 (1241–6323)0.316
eGFR, mL/min/1.73 m2 55.1 (42.7–73.2)55.4 (42.9–73.0)55.1 (42.3–80.2)0.831
EuroSCORE II, %4.2 (3.9–4.7)4.2 (3.9–4.7)4.5 (4.0–4.6)0.419
STS score, %3.7 (2.5–5.3)3.5 (2.5–5.1)4.7(3.5–5.7) 0.037

Values are given as %, or median (interquartile range).

AS, aortic stenosis; BMI, body mass index; BP, blood pressure; CA, cardiac amyloidosis; CAD, coronary artery disease; CCS, Canadian Cardiovascular Society; EF, ejection fraction; eGFR, estimated glomerular filtration rate; LF‐LG, low‐flow low‐gradient; NT‐proBNP, N‐terminal pro‐brain natriuretic peptide; NYHA, New York Heart Association; PAD, peripheral artery disease; PM, pacemaker; STS, Society of Thoracic Surgeons.

Table 2

Baseline parameters of diagnostic modalities

All patients (n = 191)No CA (n = 175, 91.6%)CA (n = 16, 8.4%) P‐value
Echocardiographic parameters
LA diameter, mm61.0 (55.8–67.3)61.0 (55.0–68.0)64.0 (60.0–67.0)0.215
RA diameter, mm57.0 (51.0–64.0)56.0 (51.0–63.0)63.0 (54.0–70.0) 0.029
LVEDD, mm44.0 (39.0–48.0)44.0 (39.3–48.0)41.5 (37.0–48.8)0.246
RVEDD, mm33.0 (29.3–38.0)33.0 (29.5–37.0)36.0 (28.0–43.0)0.144
IVS, mm15.0 (14.0–17.0)15.0 (14.0–17.0)15.5 (13.3–19.8)0.183
AVA, cm2 0.6 (0.5–0.8)0.6 (0.5–0.8)0.6 (0.5–0.9)0.669
AV PPG, mmHg73.0 (64.0–92.0)77.0 (67.0–92.0)60.0 (43.0–73.5) 0.001
AV MPG, mmHg46.0 (38.0–55.5)47.5 (40.0–56.0)35.0 (26.0–48.5) 0.004
MR grade ≥ II31.229.156.30.065
TR grade ≥ II32.129.462.5 0.017
LVEF, %62.0 (52.5–70.0)62.0 (54.0–70.0)62.0 (44.0–70.0)0.576
LVEDV, mL79.5 (62.0–108.5)81.0 (62.5–111.0)72.0 (59.0–89.5)0.117
LVEDVi, mL/m2 44.3 (33.7–57.3)44.6 (34.9–58.9)37.5 (31.5–48.5)0.097
LVESV, mL30.0 (20.8–49.0)30.0 (20.5–49.0)27.0 (20.0–45.5)0.567
SVi, mL/m2 42.5 (27.5–61.6)46.6 (29.0–63.7)27.4 (22.3–33.7) <0.001
Peak TR velocity, m/s3.0 (2.7–3.5)3.0 (2.7–3.4)3.3 (2.6–4.1)0.357
sPAP, mmHg46.0 (39.0–59.0)46.0 (38.5–57.5)53.0 (42.0–77.8)0.173
LV mass index, g/m2 136.0 (115.0–164.0)135.0 (111.8–162.3)159.0 (132.0–185.5) 0.016
Deceleration time, ms206 (159–268)212 (160–275)199 (145–232)0.161
MCF, %21.0 (16.0–26.4)21.9 (17.1–27.2)15.1 (9.75–19.1) 0.001
Apical LS, %−22.0 (−27.5; −16.8)−22.2 (−28.2; −16.8)−20.2 (−25.2; −16.0)0.253
Midventricular LS, %−15.0 (−18.0; −10.7)−15.6 (−18.0; −11.1)−12.8 (−13.8; −9.5) 0.043
Basal LS, %−10.8 (−13.5; −8.5)−11.2 (−14.1; −8.8)−9.7 (−10.8; −5.3) 0.040
GLS, %−16.6 (−19.5; −11.3)−16.9 (−19.6; −12.3)−13.8 (−16.6; −10.2)0.072
Apical/(mid + basal)0.83 (0.73–0.98)0.81 (0.73–0.96)0.92 (0.81–1.20)0.061
Cutoff ≥1.0a 23.821.443.80.071
Apical/basal1.89 (1.61–2.41)1.87 (1.59–2.38)2.02 (1.58–3.25)0.378
(Apical+mid)/basal3.22 (2.76–3.83)3.20 (2.76–3.78)3.35 (2.83–5.18)0.400
Cardiac magnetic resonance parameters
LVEF, %61.0 (44.5–72.0)61.5 (44.0–72.0)55.0 (47.0–66.0)0.521
LVEDV, mL136.0 (106.0–169.5)134.5 (106.0–169.0)157.0 (99.0–184.0)0.374
LVESV, mL52.0 (32.0–93.5)51.0 (30.0–94.3)62.0 (44.0–85.0)0.362
LV CO, L/min5.4 (4.2–6.4)5.4 (4.2–6.4)5.1(4.6–6.8)0.936
RVEF, %55.0 (43.8–63.0)55.0 (44.6–63.0)48.0 (36.0–63.0)0.271
RVEDV, mL127.5 (108.0–166.0)126.0 (107.0–163.0)163.0 (125.0–203.0)0.064
RVESV, mL60.0 (42.8–82.3)59.0 (42.0–81.0)82.0 (50.0–123.0)0.089
RV CO, L/min4.6 (3.8–5.7)4.6 (3.7–5.7)5.0 (4.8–5.8)0.252
LA area, cm2 29.0 (26.0–35.0)29.0 (26.0–35.0)31.0 (23.0–34.0)0.854
RA area, cm2 25.0 (20.0–30.0)25.0 (20.0–30.0)26.0 (23.0–35.0)0.428
LV mass, g147.0 (119.0–182.0)145.0 (118.0–177.0)175.0 (130.0–189.0)0.151
LV mass index, g/m2 80.0 (63.2–94.6)79.4 (63.3–90.2)93.9 (61.3–100.5)0.163
Native T1 LV, ms1036 (1009–1066)1033 (1008–1063)1051 (1013–1080)0.196
MOLLI‐ECV LV, %27.0 (24.9–29.4)26.7 (24.6–29.0)30.3 (28.1–33.5) 0.003
ECG parameters
Heart rate, bpm70 (62–78)70 (62–78)71 (66–77)0.741
Sokolow–Lyon index, mV2.1 (1.6–2.8)2.2 (1.6–2.8)1.7 (1.1–2.3) 0.028
VMR, mV/g/m2 × 10−2 1.5 (1.0–2.2)1.6 (1.1–2.3)0.9 (0.6–1.6) 0.001
Low voltage limb6.36.45.90.938
QRS duration, ms98 (86–118)96 (84–116)111 (90–132)0.086
LBBB6.67.30.00.262
RBBB12.011.318.80.386
LAFB16.314.731.30.088
1st degree AV block20.018.633.30.225
Bone scintigraphy parameters
Perugini grading scale <0.001
089.097.16.3
13.12.96.3b
25.80.062.5
32.10.025.0
H/L ratio1.07 (0.96–1.19)1.05 (0.95–1.15)1.79 (1.59–2.31) <0.001

Values are given as %, or median (interquartile range).

AV, aortic valve/atrioventricular; AVA, aortic valve area; CO, cardiac output; GLS, global longitudinal strain; H/L ratio, heart‐to‐contralateral ratio; IVS, interventricular septum; LA, left atrial; LAFB, left anterior fascicular block; LBBB, left bundle branch block; LS, longitudinal strain; LV, left ventricular; LVEDD, left ventricular end‐diastolic diameter; LVEDV, left ventricular end‐diastolic volume; LVEF, left ventricular ejection fraction; LVESV, left ventricular end‐systolic volume; MCF, myocardial contraction fraction; MOLLI‐ECV, extracellular volume fraction as determined by modified look‐locker inversion recovery; MPG, mean pressure gradient; MR, mitral regurgitation; PPG, peak pressure gradient; RA, right atrial; RBBB, right bundle branch block; RV, right ventricular; RVEDD, right ventricular end‐diastolic diameter; RVEDV, right ventricular end‐diastolic volume; RVEF, right ventricular ejection fraction; sPAP, systolic pulmonary artery pressure; SVi, stroke volume index; T1, T1 relaxation time; TR, tricuspid regurgitation; VMR, voltage/mass ratio.

Cutoff value for relative apical strain selected according to study by Phelan et al.

Transthyretin cardiac amyloidosis in this patient with grade 1 uptake was confirmed by endomyocardial biopsy.

Baseline clinical parameters Values are given as %, or median (interquartile range). AS, aortic stenosis; BMI, body mass index; BP, blood pressure; CA, cardiac amyloidosis; CAD, coronary artery disease; CCS, Canadian Cardiovascular Society; EF, ejection fraction; eGFR, estimated glomerular filtration rate; LF‐LG, low‐flow low‐gradient; NT‐proBNP, N‐terminal pro‐brain natriuretic peptide; NYHA, New York Heart Association; PAD, peripheral artery disease; PM, pacemaker; STS, Society of Thoracic Surgeons. Baseline parameters of diagnostic modalities Values are given as %, or median (interquartile range). AV, aortic valve/atrioventricular; AVA, aortic valve area; CO, cardiac output; GLS, global longitudinal strain; H/L ratio, heart‐to‐contralateral ratio; IVS, interventricular septum; LA, left atrial; LAFB, left anterior fascicular block; LBBB, left bundle branch block; LS, longitudinal strain; LV, left ventricular; LVEDD, left ventricular end‐diastolic diameter; LVEDV, left ventricular end‐diastolic volume; LVEF, left ventricular ejection fraction; LVESV, left ventricular end‐systolic volume; MCF, myocardial contraction fraction; MOLLI‐ECV, extracellular volume fraction as determined by modified look‐locker inversion recovery; MPG, mean pressure gradient; MR, mitral regurgitation; PPG, peak pressure gradient; RA, right atrial; RBBB, right bundle branch block; RV, right ventricular; RVEDD, right ventricular end‐diastolic diameter; RVEDV, right ventricular end‐diastolic volume; RVEF, right ventricular ejection fraction; sPAP, systolic pulmonary artery pressure; SVi, stroke volume index; T1, T1 relaxation time; TR, tricuspid regurgitation; VMR, voltage/mass ratio. Cutoff value for relative apical strain selected according to study by Phelan et al. Transthyretin cardiac amyloidosis in this patient with grade 1 uptake was confirmed by endomyocardial biopsy. On ECG, patients with coexisting CA displayed a significantly lower Sokolow–Lyon index [1.7 mV (1.1–2.3) vs. 2.2 mV (1.6–2.8); P = 0.028].

Transthoracic echocardiography

Echocardiographic details are shown in Table 2. CA patients displayed lower transvalvular aortic mean [35.0 mmHg (26.0–48.5) vs. 47.0 mmHg (40.0–56.0); P = 0.004] and peak pressure gradients [60.0 mmHg (43.0–73.5) vs. 77.0 mmHg (67.0–92.0); P = 0.001]. Moreover, patients with CA‐AS had higher LV mass indices [159.0 g/m2 (132.0–185.5) vs. 135.0 g/m2 (111.8–162.3); P = 0.016] and a lower myocardial contraction fraction [15.1% (9.8–19.1) vs. 21.9% (17.1–27.2); P = 0.001]. On the contrary, LV ejection fraction was similar [62.0% (44.0–70.0) vs. 62.0% (54.0–70.0); P = 0.576]. This is also reflected by a higher percentage of paradoxical low‐flow low‐gradient AS among CA‐AS (43.8% vs. 15.5%). While speckle‐tracking analysis revealed more severe basal and midventricular LS impairment in CA‐AS (P for both <0.05), there were no significant differences between groups with respect to global [−13.8% (−16.6; −10.2) vs. ‐16.9% (−19.6; −12.3)] and relative apical LS [0.92 (0.81–1.20) vs. 0.81 (0.73–0.96); P > 0.05]. In addition, CA patients more often suffered from moderate or severe tricuspid regurgitation (62.5% vs. 29.4; P = 0.017). Detailed CMR data are shown in Table 2. Patients with and without CA did not display significant differences with respect to left and right heart dimensions (P‐values for all chambers >0.05) and LV mass indices [93.9 g/m2 (61.3–100.5) vs. 79.4 g/m2 (63.3–90.2); P = 0.163]. On the contrary, ECV values were significantly higher among CA‐AS [(30.3% (28.1–33.5) vs. 26.7% (24.6–29.0); P = 0.003], even though there was a considerable overlap of isolated AS and CA‐AS (online supplementary Figure ). Importantly, among the 11 CA patients who underwent CMR, characteristic transmural LGE pattern was only present in four cases (all TTRCA). In the remaining seven CA patients, ECV values were not remarkably elevated and typical LGE pattern was absent (online supplementary Table ). Among TTRCA patients (n = 15), 99mTc‐DPD bone scintigraphy revealed grade 1 [n = 1 who underwent confirmatory endomyocardial biopsy (EMB)], grade 2 (n = 10) and grade 3 (n = 4) cardiac uptake, whereas no cardiac uptake was seen in the patient with isolated ALCA. The TTR patient with grade 1 uptake underwent additional cardiac biopsy, which eventually confirmed the diagnosis. Conversely, grade 1 uptake was seen in another five subjects with unremarkable free light chain assessment, who all declined to undergo cardiac biopsy. Therefore, according to consensus criteria, the diagnosis of TTRCA could not be confirmed in these patients. By quantitative assessment of 99mTc‐DPD myocardial uptake, CA patients showed an increased heart‐to‐contralateral ratio [1.79 (1.59–2.31) vs. 1.05 (0.95–1.15); P < 0.001].

Voltage/mass ratio

The VMR was significantly lower in CA patients [0.9 × 10−2 mV/g/m2 (0.6–1.6) vs. 1.6 × 10−2 mV/g/m2 (1.1–2.3); P = 0.001]. By ROC analysis, VMR demonstrated good discriminative power for the detection of CA‐AS [area under the curve (AUC) 0.770, 95% CI 0.641–0.900; P = 0.001] (Figure 2). In addition, VMR was associated with CA by univariate linear regression analysis [odds ratio (OR) 0.230, 95% CI 0.084–0.626; P = 0.004]. After multivariate adjustment, VMR remained independently linked to the presence of CA (OR 0.063, 95% CI 0.007–0.593; P = 0.016) (Table 3).
Figure 2

Stroke volume index (SVi) and voltage/mass ratio (VMR) for the discrimination of aortic stenosis with/without cardiac amyloidosis. SVi as well as VMR showed good discriminative power for the distinction of aortic stenosis with/without cardiac amyloidosis. AUC, area under the curve; MCF, myocardial contraction fraction; MR‐ECV, extracellular volume by cardiac magnetic resonance.

Table 3

Uni‐ and multivariate binary logistic regression analysis assessing the association of parameters with the presence of cardiac amyloidosis

Univariate OR (95% CI) P‐valueMultivariate OR (95% CI) P‐value
Model 1
Age (per year increase)1.108 (1.012–1.213)0.0274.686 (1.467–14.975)0.009
MCF0.353 (0.181–0.691)0.0020.657 (0.303–1.422)0.286
Sokolow–Lyon index0.481 (0.232–0.998)0.0492.740 (0.690–10.886)0.152
VMR0.230 (0.084–0.626)0.0040.063 (0.007–0.593) 0.016
Model 2
Age (per year increase)1.108 (1.012–1.213)0.0272.369 (0.906–6.197)0.079
MCF0.353 (0.181–0.691)0.0020.588 (0.271–1.275)0.179
Sokolow–Lyon index0.481 (0.232–0.998)0.0490.768 (0.347–1.703)0.516
SVi0.209 (0.078–0.559)0.0020.296 (0.101–0.869) 0.027

CI, confidence interval; MCF, myocardial contraction fraction; OR, odds ratio; SVi, stroke volume index; VMR, voltage/mass ratio.

Uni‐ and multivariate binary logistic regression analysis assessing the association of parameters with the presence of cardiac amyloidosis CI, confidence interval; MCF, myocardial contraction fraction; OR, odds ratio; SVi, stroke volume index; VMR, voltage/mass ratio. Stroke volume index (SVi) and voltage/mass ratio (VMR) for the discrimination of aortic stenosis with/without cardiac amyloidosis. SVi as well as VMR showed good discriminative power for the distinction of aortic stenosis with/without cardiac amyloidosis. AUC, area under the curve; MCF, myocardial contraction fraction; MR‐ECV, extracellular volume by cardiac magnetic resonance.

Stroke volume index

Cardiac amyloidosis patients exhibited a significantly lower SVi [27.4 mL/m2 (22.3–33.7) vs. 46.6 mL/m2 (29.0–63.7); P < 0.001]. SVi showed good discriminative power by ROC analysis [AUC 0.773, 95% CI 0.688–0.857; P < 0.001 (Figure 2)], and logistic regression analysis revealed a strong association with CA by univariate (OR 0.209, 95% CI 0.078–0.559; P = 0.002), and also multivariate analysis (OR 0.296, 95% CI 0.101–0.869; P = 0.027) (Table 3).

Outcome

After a median follow‐up of 15.3 ± 7.9 months, 33 patients (3 CA‐AS, 30 AS) had died and 22 patients (2 CA‐AS, 20 AS) had experienced cardiovascular hospitalizations. One patient without CA died prior to the intervention. Moreover, TAVR was not performed in another five patients (1 CA‐AS, 4 AS) due to various reasons, and those subjects were excluded from the outcome analysis. By Kaplan–Meier estimates, the presence of CA was not associated with poorer outcome following TAVR (P = 0.972 and P = 0.915 for primary and secondary endpoints, respectively) (Figure 3).
Figure 3

Kaplan–Meier curves of patients with aortic stenosis (AS) with/without cardiac amyloidosis (CA). Concomitant cardiac amyloidosis (CA‐AS) was not associated with all‐cause mortality (A) or cardiovascular (CV) hospitalization (B) over 15.3 ± 7.9 months following transcatheter aortic valve replacement. One CA‐AS patient died prior to transcatheter aortic valve replacement and was therefore excluded from outcome analysis.

Kaplan–Meier curves of patients with aortic stenosis (AS) with/without cardiac amyloidosis (CA). Concomitant cardiac amyloidosis (CA‐AS) was not associated with all‐cause mortality (A) or cardiovascular (CV) hospitalization (B) over 15.3 ± 7.9 months following transcatheter aortic valve replacement. One CA‐AS patient died prior to transcatheter aortic valve replacement and was therefore excluded from outcome analysis.

Discussion

The present study has four main conclusions: (i) it is the first to describe the presence of AL‐ as well as TTRCA among patients with severe AS; (ii) parameters based solely on echocardiography and ECG, that are applicable for CA screening in AS patients, are presented; (iii) the vast majority of CA cases can be detected with 99mTc‐DPD bone scintigraphy, whereas CMR frequently lacks diagnostic accuracy; and (iv) the presence of CA did not significantly alter prognosis 15.3 months after TAVR. In AS, CA is a difficult diagnosis to make. Due to concentric LV thickening caused by outflow tract obstruction, the distinction between isolated severe AS and AS with coexisting CA is challenging. Recent studies have revealed CA rates ranging from 5% to 16% in patients with severe AS. , , , In light of emerging treatment options currently tested in clinical trials (TTRCA and ALCA ), an exact diagnosis deciphering the underlying pathology to the molecular level is becoming increasingly important. Two previous studies investigated the prevalence of TTRCA among AS patients scheduled for TAVR using DPD bone scans and identified 16% and 14% of CA, respectively. , However, in both studies further testing for ALCA was not pursued despite the presence of monoclonal serum proteins in several patients. Thus, it is possible that subjects in those series suffered from ALCA or a combination of AL‐ and TTRCA but remained undiagnosed. In the work by Treibel et al., 5.2% (n = 6) of patients undergoing SAVR were diagnosed with TTRCA based on intraoperative biopsy. Cavalcante et al., finally, retrospectively analysed CMR scans of 113 AS patients for coexisting CA, and found a prevalence of 8.0%. However, the diagnosis of CA here was solely based on typical LGE patterns on CMR, and no distinction between TTR‐ and ALCA was made.

Screening for cardiac amyloidosis in aortic stenosis

After systematic screening, a prevalence of 8.4% of concomitant CA was found in the present series, including one case of ALCA. All previous studies on the prevalence of CA‐AS used either CMR or 99mTc‐DPD bone scintigraphy or myocardial biopsy as single diagnostic modalities. CMR was diagnostic in only 36% of CA‐AS in the present study, which confirms the formerly reported low sensitivity of distinctive LGE patterns. In the remainder, 99mTc‐DPD bone scintigraphy, laboratory assessment, and myocardial biopsy were necessary for CA diagnosis. Interestingly, 37% of CA‐AS patients were female, which is in line with previous data on CA among heart failure patients with preserved ejection fraction. However, other investigators reported a significantly lower proportion of women among TTRCA patients. , , The high proportion of females in the present series may be the result of the active screening approach, and may indicate that currently women with CA are potentially missed in clinical routine. Nuclear cardiac imaging with bone seeking radioisotopes allows for non‐invasive diagnosis of TTRCA with high specificity and sensitivity. In contrast, only 30% to 50% of ALCA patients also display cardiac uptake on DPD bone scans. These patients mostly present with Perugini grade 1 uptake, frequently difficult to detect, also for experienced bone scan readers. In our cohort, 99mTc‐DPD bone scintigraphy detected the majority of CA‐AS cases, but was negative in the patient with isolated ALCA. Myocardial biopsy, finally, should be performed according to the respective recommendations whenever light chain analysis and consecutive bone marrow biopsy show abnormal results and ALCA is suspected. However, it is an invasive procedure carrying inherent risks that is, therefore, only recommended in cases with significant probability for ALCA. In the present cohort of patients with severe AS, myocardial biopsy was performed after TAVR when indicated. Taken altogether, alternative means for the screening for CA‐AS based on widely available and low‐cost modalities such as echocardiography and ECG appear highly desirable. Speckle tracking‐derived strain parameters by transthoracic echocardiography have been demonstrated to be more sensitive than conventional echocardiographic parameters for the detection of CA. Characteristic strain pattern of relative apical sparing in CA describes reduced LS at the LV base with progressively increased strain near the LV apex. However, apical sparing was shown insufficient for the detection of CA‐AS. This finding is in line with our results and may reflect the haemodynamic load imposed on the left ventricle by severe AS. It could be hypothesized that relative apical sparing becomes manifest only after aortic valve replacement. This, however, needs to be proven in further studies. ECG of CA patients can display a variety of non‐specific abnormalities, such as atrial fibrillation, conduction disturbances, and pseudo‐infarct pattern. Moreover, affected patients frequently present with low‐voltage, which should raise suspicion given the oftentimes heavily thickened myocardium. The VMR is a parameter that combines LV mass and signs of hypertrophy on ECG. Its diagnostic ability is explained by significantly increased LV mass in CA‐AS patients that is, in contrast to isolated AS, not reflected by ECG alterations. We showed here that VMR effectively discriminated between AS and CA‐AS (AUC 0.770, P = 0.001). Furthermore, we tested SVi for the detection of CA‐AS. The underlying idea is related to the fact that CA‐AS patients often display low flow pattern, as known from previous reports. , Indeed, SVi was able to detect CA‐AS with an AUC of 0.773. Based on our results, VMR and SVi are useful tools to screen TAVR patients for coexisting CA. In case of CA suspicion, further testing (99mTc‐DPD bone scintigraphy, CMR, blood and urine tests) is indicated.

Outcome after transcatheter aortic valve replacement

To our knowledge, this is the first trial to investigate the prognostic significance of coexisting CA in a large TAVR cohort. In contrast to previous studies following SAVR, , CA‐AS patients were not found to experience worse outcomes 15.3 ± 7.9 months after TAVR. It is uncertain whether this also applies to long‐term outcome.

Limitations

The data presented were collected in a single‐centre setting. Therefore, a centre‐specific bias cannot be excluded. However, the major advantages of limiting data collection to a single centre are (i) adherence to a constant clinical routine, (ii) constant quality of work‐up, (iii) and constant follow‐up. Unfortunately, out of six patients with Perugini grade 1 uptake on bone scintigraphy, only one patient agreed to perform EMB and was eventually diagnosed with TTRCA. The remaining five patients declined EMB, which would have been necessary to diagnose CA according to current consensus criteria. Therefore, it cannot be excluded that further CA cases were missed in the present series. Moreover, in one patient with Perugini grade 2 uptake and monoclonal gammopathy of undetermined significance based on bone marrow biopsy, EMB was not performed. Given the known coexistence of TTRCA and monoclonal protein without ALCA and the low percentage of ALCA with Perugini uptake ≥2, this subject was classified as TTRCA. Unfortunately, mass spectroscopy was not available in our institution for patients undergoing EMB. However, in the two CA subjects with EMB (one TTR, one AL), immunohistochemical analysis did not show ambiguous results, and mass spectroscopy was not essential for an accurate diagnosis according to recent recommendations. The mean age of the present population was 81 ± 8.0 years. Our results may, therefore, not be transferable to younger, low‐risk AS populations. Furthermore, ALCA has an age peak of 60–69 years and may therefore be more prevalent among younger AS patients. Since this cohort mostly comprised cases of TTRCA, the applicability of VMR and SVi for the screening for ALCA has yet to be evaluated. The small number of CA cases limited the number of factors that could be included in the multivariate regression analysis and precluded multivariate analysis in the subpopulation with all screening modalities, including CMR. Moreover, the lack of follow‐up echo strain data precluded an analysis of whether relative apical sparing becomes overt in CA‐AS after valve replacement.

Conclusions

In the present study, comprehensive screening for CA in AS scheduled for TAVR for the first time revealed not only TTR‐ but also ALCA. Most CA patients identified had TTRCA. Parameters solely based on ECG and echocardiography allow for the identification of the majority of CA‐AS. As 15‐month survival did not differ significantly between AS with and without CA, TAVR appears beneficial in CA‐AS. However, further studies are needed to elucidate potential benefits of TAVR in CA‐AS on the long run. Table S1. Baseline characteristics comparing enrolled and excluded subjects. Click here for additional data file. Table S2. Uni‐ and multivariate binary logistic regression analysis assessing the association of parameters with the presence of cardiac amyloidosis. Click here for additional data file. Table S3. Clinical and diagnostic characteristics of all cardiac amyloidosis patients. Click here for additional data file. Figure S1. Extracellular volume as determined by cardiac magnetic resonance imaging among patients with aortic stenosis with and without cardiac amyloidosis and healthy controls. Click here for additional data file.
  35 in total

1.  Left ventricular structure and function in transthyretin-related versus light-chain cardiac amyloidosis.

Authors:  Candida Cristina Quarta; Scott D Solomon; Imran Uraizee; Jenna Kruger; Simone Longhi; Marinella Ferlito; Christian Gagliardi; Agnese Milandri; Claudio Rapezzi; Rodney H Falk
Journal:  Circulation       Date:  2014-02-21       Impact factor: 29.690

2.  Relative apical sparing of longitudinal strain using two-dimensional speckle-tracking echocardiography is both sensitive and specific for the diagnosis of cardiac amyloidosis.

Authors:  Dermot Phelan; Patrick Collier; Paaladinesh Thavendiranathan; Zoran B Popović; Mazen Hanna; Juan Carlos Plana; Thomas H Marwick; James D Thomas
Journal:  Heart       Date:  2012-08-03       Impact factor: 5.994

3.  Interstitial Fibrosis, Functional Status, and Outcomes in Heart Failure With Preserved Ejection Fraction: Insights From a Prospective Cardiac Magnetic Resonance Imaging Study.

Authors:  Franz Duca; Andreas A Kammerlander; Caroline Zotter-Tufaro; Stefan Aschauer; Marianne L Schwaiger; Beatrice A Marzluf; Diana Bonderman; Julia Mascherbauer
Journal:  Circ Cardiovasc Imaging       Date:  2016-12       Impact factor: 7.792

4.  (99m)Tc-pyrophosphate scintigraphy for differentiating light-chain cardiac amyloidosis from the transthyretin-related familial and senile cardiac amyloidoses.

Authors:  Sabahat Bokhari; Adam Castaño; Ted Pozniakoff; Susan Deslisle; Farhana Latif; Mathew S Maurer
Journal:  Circ Cardiovasc Imaging       Date:  2013-02-11       Impact factor: 7.792

5.  Cardiovascular magnetic resonance in clinically suspected cardiac amyloidosis: noninvasive imaging compared to endomyocardial biopsy.

Authors:  Holger Vogelsberg; Heiko Mahrholdt; Claudia C Deluigi; Ali Yilmaz; Eva M Kispert; Simon Greulich; Karin Klingel; Reinhard Kandolf; Udo Sechtem
Journal:  J Am Coll Cardiol       Date:  2008-03-11       Impact factor: 24.094

6.  Cardiac amyloidosis as a potential risk factor for transapical transcatheter aortic valve implantation.

Authors:  Fabio C Monticelli; Sebastian N Kunz; Thomas Keller; Sabine Bleiziffer
Journal:  J Card Surg       Date:  2014-01-26       Impact factor: 1.620

7.  Unveiling transthyretin cardiac amyloidosis and its predictors among elderly patients with severe aortic stenosis undergoing transcatheter aortic valve replacement.

Authors:  Adam Castaño; David L Narotsky; Nadira Hamid; Omar K Khalique; Rachelle Morgenstern; Albert DeLuca; Jonah Rubin; Codruta Chiuzan; Tamim Nazif; Torsten Vahl; Isaac George; Susheel Kodali; Martin B Leon; Rebecca Hahn; Sabahat Bokhari; Mathew S Maurer
Journal:  Eur Heart J       Date:  2017-10-07       Impact factor: 29.983

8.  Occult Transthyretin Cardiac Amyloid in Severe Calcific Aortic Stenosis: Prevalence and Prognosis in Patients Undergoing Surgical Aortic Valve Replacement.

Authors:  Thomas A Treibel; Marianna Fontana; Janet A Gilbertson; Silvia Castelletti; Steven K White; Paul R Scully; Neil Roberts; David F Hutt; Dorota M Rowczenio; Carol J Whelan; Michael A Ashworth; Julian D Gillmore; Philip N Hawkins; James C Moon
Journal:  Circ Cardiovasc Imaging       Date:  2016-08       Impact factor: 7.792

9.  Nonbiopsy Diagnosis of Cardiac Transthyretin Amyloidosis.

Authors:  Julian D Gillmore; Mathew S Maurer; Rodney H Falk; Giampaolo Merlini; Thibaud Damy; Angela Dispenzieri; Ashutosh D Wechalekar; John L Berk; Candida C Quarta; Martha Grogan; Helen J Lachmann; Sabahat Bokhari; Adam Castano; Sharmila Dorbala; Geoff B Johnson; Andor W J M Glaudemans; Tamer Rezk; Marianna Fontana; Giovanni Palladini; Paolo Milani; Pierluigi L Guidalotti; Katarina Flatman; Thirusha Lane; Frederick W Vonberg; Carol J Whelan; James C Moon; Frederick L Ruberg; Edward J Miller; David F Hutt; Bouke P Hazenberg; Claudio Rapezzi; Philip N Hawkins
Journal:  Circulation       Date:  2016-04-22       Impact factor: 29.690

10.  Prevalence of Cardiac Amyloidosis in Patients Referred for Transcatheter Aortic Valve Replacement.

Authors:  Paul R Scully; Thomas A Treibel; Marianna Fontana; Guy Lloyd; Michael Mullen; Francesca Pugliese; Neil Hartman; Philip N Hawkins; Leon J Menezes; James C Moon
Journal:  J Am Coll Cardiol       Date:  2018-01-30       Impact factor: 27.203

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  15 in total

1.  Double trouble: severe aortic stenosis and cardiac amyloidosis.

Authors:  Christian Nitsche; Julia Mascherbauer
Journal:  Wien Klin Wochenschr       Date:  2020-12       Impact factor: 1.704

2.  Yield of bone scintigraphy screening for transthyretin-related cardiac amyloidosis in different conditions: Methodological issues and clinical implications.

Authors:  Giacomo Tini; Eugenio Sessarego; Stefano Benenati; Pier Filippo Vianello; Beatrice Musumeci; Camillo Autore; Marco Canepa
Journal:  Eur J Clin Invest       Date:  2021-08-22       Impact factor: 5.722

Review 3.  Utility and pitfalls of the electrocardiogram in the evaluation of cardiac amyloidosis.

Authors:  Perryn Lin Fei Ng; Yoke Ching Lim; Lauren Kay Mance Evangelista; Raymond Ching Chiew Wong; Ping Chai; Ching Hui Sia; Hoi Yin Loi; Tiong Cheng Yeo; Weiqin Lin
Journal:  Ann Noninvasive Electrocardiol       Date:  2022-05-14       Impact factor: 1.485

Review 4.  Severe Aortic Stenosis and ATTRwt Amyloidosis - Beware in the Aging: A Case Report and Review of the Literature.

Authors:  Robert Adam; Alice Munteanu; Raluca Mititelu; Sebastian Onciul; Dan Deleanu; Vlad Anton Iliescu; Bogdan A Popescu; Ruxandra Jurcut
Journal:  Clin Interv Aging       Date:  2020-10-02       Impact factor: 4.458

5.  Prevalence and Outcomes of Concomitant Aortic Stenosis and Cardiac Amyloidosis.

Authors:  Christian Nitsche; Paul R Scully; Kush P Patel; Andreas A Kammerlander; Matthias Koschutnik; Carolina Dona; Tim Wollenweber; Nida Ahmed; George D Thornton; Andrew D Kelion; Nikant Sabharwal; James D Newton; Muhiddin Ozkor; Simon Kennon; Michael Mullen; Guy Lloyd; Marianna Fontana; Philip N Hawkins; Francesca Pugliese; Leon J Menezes; James C Moon; Julia Mascherbauer; Thomas A Treibel
Journal:  J Am Coll Cardiol       Date:  2020-11-09       Impact factor: 24.094

6.  The association of prior carpal tunnel syndrome surgery with adverse cardiovascular outcomes and long-term mortality after aortic valve replacement.

Authors:  Oscar Westin; Marie D Lauridsen; Søren Lund Kristensen; Lars Køber; Christian Torp-Pedersen; Gunnar Gislason; Lars Søndergaard; Mathew S Maurer; Birgitte Pernille Leicht; Finn Gustafsson; Emil L Fosbøl
Journal:  Int J Cardiol Heart Vasc       Date:  2021-03-08

7.  Diagnosis and treatment of cardiac amyloidosis: an interdisciplinary consensus statement.

Authors:  Diana Bonderman; Gerhard Pölzl; Klemens Ablasser; Hermine Agis; Stefan Aschauer; Michaela Auer-Grumbach; Christina Binder; Jakob Dörler; Franz Duca; Christian Ebner; Marcus Hacker; Renate Kain; Andreas Kammerlander; Matthias Koschutnik; Alexander Stephan Kroiss; Agnes Mayr; Christian Nitsche; Peter P Rainer; Susanne Reiter-Malmqvist; Matthias Schneider; Roland Schwarz; Nicolas Verheyen; Thomas Weber; Marc Michael Zaruba; Roza Badr Eslam; Martin Hülsmann; Julia Mascherbauer
Journal:  Wien Klin Wochenschr       Date:  2020-12-03       Impact factor: 1.704

8.  Transthyretin cardiac amyloidosis in patients after TAVR: clinical and echocardiographic findings and long term survival.

Authors:  Sara Shimoni; Meital Zikri; Dan Haberman; Shay Livschitz; Sagi Tshori; Yacov Fabricant; Valery Meledin; Gera Gandelman; Sorel Goland; Jacob George
Journal:  ESC Heart Fail       Date:  2021-10-26

9.  Integrative Multi-Omics Analysis in Calcific Aortic Valve Disease Reveals a Link to the Formation of Amyloid-Like Deposits.

Authors:  Marina A Heuschkel; Nikolaos T Skenteris; Joshua D Hutcheson; Dewy D van der Valk; Juliane Bremer; Philip Goody; Jesper Hjortnaes; Felix Jansen; Carlijn V C Bouten; Antoon van den Bogaerdt; Ljubica Matic; Nikolaus Marx; Claudia Goettsch
Journal:  Cells       Date:  2020-09-24       Impact factor: 6.600

Review 10.  The Role of Multi-modality Imaging in the Diagnosis of Cardiac Amyloidosis: A Focused Update.

Authors:  Shaun Khanna; Ivy Wen; Aditya Bhat; Henry H L Chen; Gary C H Gan; Faraz Pathan; Timothy C Tan
Journal:  Front Cardiovasc Med       Date:  2020-10-30
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