通过心电图检测慢性肾脏病
Detecting chronic kidney disease by electrocardiography.
作者信息
Kooman Jeroen P
机构信息
Department of Internal Medicine, Division of Nephrology, Maastricht University Medical Centre, Maastricht, The Netherlands.
出版信息
Commun Med (Lond). 2023 May 26;3(1):74. doi: 10.1038/s43856-023-00306-9.
Abstract
Although chronic kidney disease (CKD) can be detected by relatively simple blood and urine tests, it remains underdiagnosed even in patients at high risk for the disease. Deep learning-based approaches are now being developed to detect CKD based on electrocardiogram (ECG) data.
摘要
虽然慢性肾脏病（CKD）可以通过相对简单的血液和尿液检测来发现，但即使在该疾病的高风险患者中，它仍未得到充分诊断。目前正在开发基于深度学习的方法，以根据心电图（ECG）数据来检测CKD。
相似文献
1
Detecting chronic kidney disease by electrocardiography.
Commun Med (Lond). 2023 May 26;3(1):74. doi: 10.1038/s43856-023-00306-9.
2
Accuracy of exercise electrocardiography in detecting physiologically significant coronary arterial lesions.
Circulation. 1991 Feb;83(2):412-21. doi: 10.1161/01.cir.83.2.412.
3
Initial and terminal T wave angle as hyperkalemia indicator in chronic kidney disease.
Postgrad Med. 2022 Nov;134(8):795-800. doi: 10.1080/00325481.2022.2109336. Epub 2022 Aug 8.
4
Artificial intelligence for detecting electrolyte imbalance using electrocardiography.
Ann Noninvasive Electrocardiol. 2021 May;26(3):e12839. doi: 10.1111/anec.12839. Epub 2021 Mar 15.
5
Shear Wave Elastography: A Review on the Confounding Factors and Their Potential Mitigation in Detecting Chronic Kidney Disease.
Ultrasound Med Biol. 2021 Aug;47(8):2033-2047. doi: 10.1016/j.ultrasmedbio.2021.03.030. Epub 2021 May 4.
6
Can physicians detect hyperkalemia based on the electrocardiogram?
Am J Emerg Med. 2020 Jan;38(1):105-108. doi: 10.1016/j.ajem.2019.04.036. Epub 2019 Apr 22.
7
Chronic kidney disease in patients with non-ST-segment elevation acute coronary syndromes.
Am J Med. 2006 Mar;119(3):248-54. doi: 10.1016/j.amjmed.2005.08.057.
8
Serum albumin level and abnormal corrected QT interval in patients with coronary artery disease and chronic kidney disease.
Intern Med J. 2018 Oct;48(10):1242-1251. doi: 10.1111/imj.13796.
9
[Comparison of electron beam computed tomography and exercise electrocardiography in detecting coronary artery disease in the elderly].
Nihon Ronen Igakkai Zasshi. 1998 Aug;35(8):626-30. doi: 10.3143/geriatrics.35.626.
10
Cardiac repolarization abnormalities among patients with various stages of chronic kidney disease.
Clin Cardiol. 2014 Jul;37(7):417-21. doi: 10.1002/clc.22277.
引用本文的文献
1
A recursive embedding and clustering technique for unraveling asymptomatic kidney disease using laboratory data and machine learning.
Sci Rep. 2025 Feb 17;15(1):5820. doi: 10.1038/s41598-025-89499-8.
本文引用的文献
1
Deep learning-based electrocardiographic screening for chronic kidney disease.
Commun Med (Lond). 2023 May 26;3(1):73. doi: 10.1038/s43856-023-00278-w.
2
Accuracy and clinical relevance of the single-lead Apple Watch electrocardiogram to identify atrial fibrillation.
Cardiovasc Digit Health J. 2022 Dec 15;3(6 Suppl):S17-S22. doi: 10.1016/j.cvdhj.2022.10.004. eCollection 2022 Dec.
3
Multimodal biomedical AI.
Nat Med. 2022 Sep;28(9):1773-1784. doi: 10.1038/s41591-022-01981-2. Epub 2022 Sep 15.
4
Epidemiology of chronic kidney disease: an update 2022.
Kidney Int Suppl (2011). 2022 Apr;12(1):7-11. doi: 10.1016/j.kisu.2021.11.003. Epub 2022 Mar 18.
5
Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography.
Int Urol Nephrol. 2022 Oct;54(10):2733-2744. doi: 10.1007/s11255-022-03165-w. Epub 2022 Apr 11.
6
Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction.
NPJ Digit Med. 2022 Jan 19;5(1):8. doi: 10.1038/s41746-021-00550-0.
7
Wearable sensors enable personalized predictions of clinical laboratory measurements.
Nat Med. 2021 Jun;27(6):1105-1112. doi: 10.1038/s41591-021-01339-0. Epub 2021 May 24.
8
Artificial intelligence for detecting electrolyte imbalance using electrocardiography.
Ann Noninvasive Electrocardiol. 2021 May;26(3):e12839. doi: 10.1111/anec.12839. Epub 2021 Mar 15.
9
Ethical Challenges With Smartwatch-Based Screening for Atrial Fibrillation: Putting Users at Risk for Marketing Purposes?
Front Cardiovasc Med. 2021 Jan 15;7:615927. doi: 10.3389/fcvm.2020.615927. eCollection 2020.
10
The case for early identification and intervention of chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference.
Kidney Int. 2021 Jan;99(1):34-47. doi: 10.1016/j.kint.2020.10.012. Epub 2020 Oct 27.
Zotero 插件