Biomarkers and Prediction of Prognosis in Transthyretin-Related Cardiac Amyloidosis: Direct Comparison of Two Staging Systems.
Journal
The Canadian journal of cardiology
ISSN: 1916-7075
Titre abrégé: Can J Cardiol
Pays: England
ID NLM: 8510280
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
received:
04
09
2019
revised:
13
12
2019
accepted:
22
12
2019
entrez:
9
3
2020
pubmed:
9
3
2020
medline:
23
10
2020
Statut:
ppublish
Résumé
The severity of heart disease varies widely among patients with transthyretin-related cardiac amyloidosis (ATTR-CA) at presentation, and availability of tools able to predict prognosis is essential for clinical and research purposes. Currently, two biomarker-based staging systems are available. The aim of this study was to compare their predictive performance. A total of 175 patients diagnosed with ATTR-CA (133 wild-type and 42 hereditary) were stratified into different stages based on 2 systems: the first system included N-terminal pro-B-type natriuretic peptide (NT-proBNP) and estimated glomerular filtration rate (eGFR), and the second one included NT-proBNP and troponin I (TnI). Survival estimates and age-adjusted survival for all-cause mortality were analysed over a median follow-up of 27 months (interquartile range 16-43 months). Predictive performance was more accurate when NT-proBNP and eGFR were used, resulting in effective survival stratification: 64.4 months for stage 1, 44.6 months for stage 2, and 20.5 months for stage 3 (P < 0.01 for stages 1 vs 2; P < 0.0001 for stages 1 vs 3; P < 0.0001 stages 2 vs 3). The combination of NT-proBNP and TnI was unable to effectively differentiate survival: 64.5 months for stage 1, 50.9 months for stage 2, and 27.3 months for stage 3 (P = 0.223 for stages 1 vs 2; P < 0.0001 for stages 1 vs 3; P < 0.0001 for stages 2 vs 3). The same results were seen after age adjustment. A staging system using NT-proBNP and eGFR had better prognostic accuracy for ATTR-CA patients compared with one using NTproBNP and TnI.
Sections du résumé
BACKGROUND
The severity of heart disease varies widely among patients with transthyretin-related cardiac amyloidosis (ATTR-CA) at presentation, and availability of tools able to predict prognosis is essential for clinical and research purposes. Currently, two biomarker-based staging systems are available. The aim of this study was to compare their predictive performance.
METHODS
A total of 175 patients diagnosed with ATTR-CA (133 wild-type and 42 hereditary) were stratified into different stages based on 2 systems: the first system included N-terminal pro-B-type natriuretic peptide (NT-proBNP) and estimated glomerular filtration rate (eGFR), and the second one included NT-proBNP and troponin I (TnI). Survival estimates and age-adjusted survival for all-cause mortality were analysed over a median follow-up of 27 months (interquartile range 16-43 months).
RESULTS
Predictive performance was more accurate when NT-proBNP and eGFR were used, resulting in effective survival stratification: 64.4 months for stage 1, 44.6 months for stage 2, and 20.5 months for stage 3 (P < 0.01 for stages 1 vs 2; P < 0.0001 for stages 1 vs 3; P < 0.0001 stages 2 vs 3). The combination of NT-proBNP and TnI was unable to effectively differentiate survival: 64.5 months for stage 1, 50.9 months for stage 2, and 27.3 months for stage 3 (P = 0.223 for stages 1 vs 2; P < 0.0001 for stages 1 vs 3; P < 0.0001 for stages 2 vs 3). The same results were seen after age adjustment.
CONCLUSIONS
A staging system using NT-proBNP and eGFR had better prognostic accuracy for ATTR-CA patients compared with one using NTproBNP and TnI.
Identifiants
pubmed: 32145869
pii: S0828-282X(19)31546-6
doi: 10.1016/j.cjca.2019.12.020
pii:
doi:
Substances chimiques
Biomarkers
0
Peptide Fragments
0
Troponin I
0
pro-brain natriuretic peptide (1-76)
0
Natriuretic Peptide, Brain
114471-18-0
Types de publication
Comparative Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
424-431Informations de copyright
Copyright © 2019 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.