Biomarkers for Risk Stratification in Patients With Type A Acute Aortic Dissection

医学 利钠肽 内科学 主动脉夹层 心脏病学 肌钙蛋白 肌钙蛋白T 生物标志物 回顾性队列研究 危险分层 肌钙蛋白I 心力衰竭 心肌梗塞 主动脉 生物化学 化学
作者
Kayo Yamamoto,Yuichi Saito,Osamu Hashimoto,Takashi Nakayama,Shinichi Okino,Yoshiaki Sakai,Yoshitake Nakamura,Shigeru Fukuzawa,Toshiharu Himi,Yoshio Kobayashi
出处
期刊:American Journal of Cardiology [Elsevier]
卷期号:212: 103-108 被引量:1
标识
DOI:10.1016/j.amjcard.2023.11.053
摘要

Type A acute aortic dissection (AAD) is a fatal disease and thus, accurate and objective risk stratification is essential. In this study, we evaluated the prognostic value of readily available and assessable biomarkers in patients with type A AAD. This was a retrospective, multicenter, observational study. A total of 703 patients with type A AAD diagnosed using contrast-enhanced computed tomography were included. Therapeutic strategies were left to the physician's discretion in a real-world clinical setting. The prognostic value for in-hospital mortality was examined in 15 circulating biomarkers on admission, which are routinely available in clinical practice. Of the 703 patients, 126 (17.9%) died during the hospitalization. Of the 15 biomarkers, the multivariable analysis identified positive cardiac troponin, a low total bilirubin (T-Bil) level, and increased levels of brain natriuretic peptide (BNP) and lactate dehydrogenase (LDH) as significant predictors of in-hospital death. The receiver operating characteristics curve analysis showed that these 4 biomarkers had an independent additive prognostic value. With the cut-off values of T-Bil, BNP, and LDH, in combination with positive troponin, the increase in the number of positive biomarkers was progressively associated with higher in-hospital mortality from 1.3% to 9.8%, 20.5%, 36.4%, and 75.0% (p <0.001). In conclusion, in patients with type A AAD, positive cardiac troponin, a low T-Bil level, and increased levels of BNP and LDH on admission were related to higher in-hospital mortality, with an incremental prognostic value, suggesting that the readily available and assessable biomarkers can aid in decision-making in therapeutic strategies.
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