Objective: To investigate the relationship between chronic kidney disease (CKD) and the severity and long-term prognosis of patients with coronary artery disease (CAD) after drug-eluting stent (DES) implantation.
Methods: There were 814 patients, who consecutively received a DES implantation, selected for this study. They were divided into two groups, according to whether or not they suffered CKD. There were 254 cases in the CKD group (31.2%), while there were 560 cases (68.8%) in the control group. The clinical characteristics, coronary artery lesions, and major adverse cardiac and cerebrovascular events (MACCE) of the two groups were compared, and the relationship between risk factors and MACCEs was analyzed by multivariate logistic regression.
Results: Compared with the control group, the CKD group had more severe coronary artery stenosis, expressed as the more diseased arteries (2.15 ± 0.82 vs 1.87 ± 0.83, = 0.001), a high incidence of three diseased arteries (42.0% vs 28.3%, = 0.001), and a higher Gensini score [37 (18.6, 66) vs 27.5 (12, 52.5), = 0.009]. The one-year post-implant incidence of MACCE was higher in the CKD group compared with the control group (17.6% vs 9.9%, = 0.006).
Conclusion: CKD appears to be an important predictor for the prognosis of CAD.
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http://dx.doi.org/10.2147/IJGM.S295098 | DOI Listing |
Chin Med J (Engl)
January 2025
Department of Magnetic Resonance Imaging, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Lipids Health Dis
January 2025
Department of Cardiology, West China Hospital, Sichuan University West China School of Medicine, 37 Guoxue Road, Chengdu, Sichuan, 610041, China.
Background: Atrial fibrillation (AF) is the most prevalent arrhythmia encountered in clinical practice. Triglyceride glucose index (Tyg), a convenient evaluation variable for insulin resistance, has shown associations with adverse cardiovascular outcomes. However, studies on the Tyg index's predictive value for adverse prognosis in patients with AF without diabetes are lacking.
View Article and Find Full Text PDFNPJ Aging
January 2025
Division of Cardiovascular Medicine, Department of Medicine, Kurume University School of Medicine, 67 Asahi-machi, Kurume, Japan.
We investigated clinical factors and biochemical markers associated with amygdalar metabolic activity evaluated by [F]-fluorodeoxyglucose-positron emission tomography (FDG-PET) in 346 subjects without a history of malignant neoplasms. Univariate regression analysis revealed significant relationships between amygdalar metabolic activity and fasting plasma glucose (FPG), glycated hemoglobin, coronary artery disease (CAD) history, aspirin use, oral hypoglycemic agents (OHAs) use, and asymmetric dimethylarginine (ADMA). In multiple stepwise regression analysis, FPG and CAD history were independently associated with amygdalar metabolic activity.
View Article and Find Full Text PDFLancet
January 2025
British Heart Foundation Centre of Research Excellence, University of Edinburgh, Edinburgh, UK; Edinburgh Imaging, University of Edinburgh, Edinburgh, UK.
Background: The Scottish Computed Tomography of the Heart (SCOT-HEART) trial demonstrated that management guided by coronary CT angiography (CCTA) improved the diagnosis, management, and outcome of patients with stable chest pain. We aimed to assess whether CCTA-guided care results in sustained long-term improvements in management and outcomes.
Methods: SCOT-HEART was an open-label, multicentre, parallel group trial for which patients were recruited from 12 outpatient cardiology chest pain clinics across Scotland.
Ann Vasc Surg
January 2025
Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, 88100, Catanzaro, Italy; Interuniversity Center of Phlebolymphology (CIFL), "Magna Graecia" University, 88100 Catanzaro, Italy. Electronic address:
Background: Arterial diseases like coronary artery disease, carotid stenosis, peripheral artery disease, and abdominal aortic aneurysm have high morbidity and mortality, making them key research areas. Their multifactorial nature complicates patient treatment and prevention. Biomarkers offer insights into the biochemical and molecular processes, while social factors also significantly impact patients' health and quality of life.
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