Hideki Kitahara1, Takashi Nakayama2, Yoshihide Fujimoto2, Yoshio Kobayashi2. 1. Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan. Electronic address: hidekitahara0306@gmail.com. 2. Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan.
Abstract
BACKGROUND: Tendon xanthoma, represented as Achilles tendon xanthoma (ATX), is one of the important diagnostic criteria for familial hypercholesterolemia (FH). However, there are some cases with ATX who do not meet these criteria. This study aimed to investigate the severity of coronary artery disease (CAD) in patients with ATX. METHODS: A total of 394 patients with CAD undergoing percutaneous coronary intervention (PCI) at Chiba University Hospital between June 2016 and February 2018 were enrolled. Soft X-ray radiography of Achilles tendon was performed, and a maximum thickness of 9 mm or more was regarded as ATX. Heterozygous FH was diagnosed according to the diagnostic criteria proposed by the Japan Atherosclerosis Society in 2017. CAD severity was assessed by SYNTAX score before the first PCI during the study period. RESULTS: There were 43 (10.9%) patients with ATX, and 16 (4.1%) were diagnosed as FH (15 with ATX and 1 without ATX). The ATX group showed greater body mass index, lower high-density lipoprotein cholesterol level, and the higher prevalence of FH, diabetes, prior myocardial infarction, acute coronary syndrome, multivessel disease, hemodialysis, and prior statin administration. SYNTAX score and the rate of SYNTAX score ≥23 were significantly higher in the ATX group compared with the non-ATX group (p < 0.001 for each). When patients were divided into quartiles according to Achilles tendon thickness, SYNTAX score and the prevalence of SYNTAX score ≥23 were progressively increased in favor of greater Achilles tendon thickness (p < 0.001 for each). Multivariate analysis determined male, diabetes, and ATX as independent predictors for higher SYNTAX score. CONCLUSIONS: In CAD patients undergoing PCI, ATX was independently associated with severity of CAD. Detecting ATX may be useful not only for diagnosing FH, but also for identifying patients with advanced CAD.
BACKGROUND:Tendon xanthoma, represented as Achilles tendon xanthoma (ATX), is one of the important diagnostic criteria for familial hypercholesterolemia (FH). However, there are some cases with ATX who do not meet these criteria. This study aimed to investigate the severity of coronary artery disease (CAD) in patients with ATX. METHODS: A total of 394 patients with CAD undergoing percutaneous coronary intervention (PCI) at Chiba University Hospital between June 2016 and February 2018 were enrolled. Soft X-ray radiography of Achilles tendon was performed, and a maximum thickness of 9 mm or more was regarded as ATX. Heterozygous FH was diagnosed according to the diagnostic criteria proposed by the Japan Atherosclerosis Society in 2017. CAD severity was assessed by SYNTAX score before the first PCI during the study period. RESULTS: There were 43 (10.9%) patients with ATX, and 16 (4.1%) were diagnosed as FH (15 with ATX and 1 without ATX). The ATX group showed greater body mass index, lower high-density lipoprotein cholesterol level, and the higher prevalence of FH, diabetes, prior myocardial infarction, acute coronary syndrome, multivessel disease, hemodialysis, and prior statin administration. SYNTAX score and the rate of SYNTAX score ≥23 were significantly higher in the ATX group compared with the non-ATX group (p < 0.001 for each). When patients were divided into quartiles according to Achilles tendon thickness, SYNTAX score and the prevalence of SYNTAX score ≥23 were progressively increased in favor of greater Achilles tendon thickness (p < 0.001 for each). Multivariate analysis determined male, diabetes, and ATX as independent predictors for higher SYNTAX score. CONCLUSIONS: In CADpatients undergoing PCI, ATX was independently associated with severity of CAD. Detecting ATX may be useful not only for diagnosing FH, but also for identifying patients with advanced CAD.
Authors: Maria Pia Adorni; Marta Biolo; Francesca Zimetti; Marcella Palumbo; Nicoletta Ronda; Paolo Scarinzi; Paolo Simioni; Maria Giovanna Lupo; Nicola Ferri; Lorenzo Previato; Franco Bernini; Alberto Zambon Journal: Int J Mol Sci Date: 2022-07-26 Impact factor: 6.208