The Mayo ATTR-CM Score Versus Other Diagnostic Scores and Cardiac Biomarkers in Patients with Suspected Cardiac Amyloidosis.

Giovanni Battista Bonfioli,Daniela Tomasoni,Giuseppe Vergaro,Vincenzo Castiglione,Marianna Adamo,Iacopo Fabiani, Victor Loghin, Carlo Mario Lombardi, Alessio Nicolai,Marco Metra,Michele Emdin, Alberto Aimo

European journal of heart failure(2024)

引用 0|浏览0
暂无评分
摘要
AIMS:Several scores were developed to help the diagnosis of cardiac amyloidosis (CA). The most recent one, being the Mayo transthyretin amyloidosis cardiomyopathy (ATTR-CM) score, was not externally validated. We compared the diagnostic performance of the ATTR-CM score with previous tools (increased wall thickness [IWT] score, AMYLoidosis Index [AMYLI] score, and cardiac biomarkers) in a cohort of patients evaluated for a suspicion of CA. METHODS AND RESULTS:We analysed 362 consecutive patients referred to a third-level centre for suspected CA. Overall, 132 (36%) had transthyretin CA (ATTR-CA), and 91 (25%) immunoglobulin light chain CA (AL-CA); CA was excluded in 139 (38%). ATTR-CM score had a good diagnostic performance to distinguish ATTR-CA from AL-CA or no CA, with an area under the curve (AUC) of 0.795 (95% confidence interval [CI] 0.747-0.842, p < 0.001), and ATTR-CA from no CA (AUC 0.822, 95% CI 0.774-0.871, p < 0.001). Results were consistent in both patients with preserved (AUC 0.787, 95% CI 0.726-0.848, p < 0.001), and reduced or mildly reduced ejection fraction (AUC 0.790, 95% CI 0.709-0.871, p < 0.001). The ATTR-CM score showed a better discrimination compared to IWT and AMYLI score to distinguish ATTR-CA from AL-CA or no CA (p = 0.002), but not to distinguish ATTR-CA from no CA (p = 0.270). Diagnostic accuracy was significantly higher for the ATTR-CM score as compared to the rule-in cut-off of high-sensitivity troponin T. CONCLUSION:The Mayo ATTR-CM score has a good performance in identifying patients with ATTR-CA, with also better discrimination power when compared to other scores and biomarkers.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要