Limitations of apical sparing pattern in cardiac amyloidosis: a multicentre echocardiographic study.
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Cotella Juan, Randazzo Michael, Maurer Mathew S, Helmke Stephen, Scherrer-Crosbie Marielle, Soltani Marwa, Goyal Akash, Zareba Karolina, Cheng Richard, Kirkpatrick James N, Yogeswaran Vidhushei, Kitano Tetsuji, Takeuchi Masaaki, Fernandes Fábio, Hotta Viviane Tiemi, Campos Vieira Marcelo Luiz, Elissamburu Pablo, Ronderos Ricardo, Prado Aldo, Koutroumpakis Efstratios, Deswal Anita, Pursnani Amit, Sarswat Nitasha, Addetia Karima, Mor-Avi Victor, Asch Federico M, Slivnick Jeremy A, Lang Roberto M
Аннотация
METHODS AND RESULTS: We identified 544 patients with confirmed CA and 200 controls (CTRLs) as defined above (CTRL patients). Measurements from transthoracic echocardiograms were performed using artificial intelligence software (Us2.AI, Singapore) and audited by an experienced echocardiographer. Receiver operating characteristic curve analysis was used to evaluate the diagnostic performance and optimal cut-offs for the differentiation of CA patients from CTRL patients. Additionally, a group of 174 healthy subjects (healthy CTRL) was included to provide insight on how patients and healthy CTRLs differed echocardiographically. LV GLS was more impaired (-13.9 ± 4.6% vs. -15.9 ± 2.7%, P < 0.0005), and ASR was higher (2.4 ± 1.2 vs. 1.7 ± 0.9, P < 0.0005) in the CA group vs. CTRL patients. Relative wall thickness and ASR were the most accurate parameters for differentiating CA from CTRL patients [area under the curve (AUC): 0.77 and 0.74, respectively]. However, even with the optimal cut-off of 1.67, ASR was only 72% sensitive and 66% specific for CA, indicating the presence of apical sparing in 32% of CTRL patients and even in 6% healthy subjects.
CONCLUSION: Apical sparing did not prove to be a CA-specific biomarker for accurate identification of CA, when compared with clinically similar CTRLs with no CA.