Objectives: Sufficient coronary collateral circulation (CCC) protects myocardial tissue against ischemia in patients with coronary chronic total occlusion (CTO). In this study, we aimed to investigate whether there is an association between serum γ-glutamyl transferase (GGT) levels and development of CCC in patients with coronary CTO.
Materials And Methods: A total of 203 patients with CTO at coronary angiography were included in this study. On the day of admission to the hospital, blood samples were taken and GGT levels were analyzed for all patients. Development of collateral circulation was graded according to the Rentrop classification after coronary angiography. Then, patients were divided into two groups on the basis of CCC grades: group 1 included 99 patients (49%) with poorly developed CCC, and group 2 included 104 patients (51%) with well-developed CCC.
Results: Patients with poorly developed CCC had significantly higher serum GGT levels compared with those with well-developed CCC, (66.5±16 vs. 51.8±10 U/l, P<0.0001). Correlation analysis showed an inverse correlation between GGT levels and the Rentrope score (r=-0.579, P<0.001). Logistic regression analysis showed that GGT level was an independent predictor of poorly developed CCC (odds ratio 0.92, 95% confidence interval 0.90-0.94; P<0.001).
Conclusion: Increased serum GGT levels independently predict poorly developed CCC in patients with coronary CTO. Our results show that GGT is a simple and readily available marker for sufficiency of CCC in patients with CTO.
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http://dx.doi.org/10.1097/MCA.0b013e32835f301d | DOI Listing |
Iran J Med Sci
December 2024
Neonatology Research Center, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Inadequate pulmonary blood flow in tetralogy of Fallot (TOF) can lead to the development of major aortopulmonary collateral arteries (MAPCA), which interferes with surgical repair. The present study evaluated the features of MAPCAs among patients with TOF and their treatment approaches. Besides, perioperative parameters and mortality rates of our TOF patients with and without MAPCA were compared.
View Article and Find Full Text PDFFront Neurol
January 2025
Department of Neurology and Institute of Neurology of First Affiliated Hospital, Institute of Neuroscience, Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China.
Introduction: Hemorrhagic transformation (HT) is a severe complication in patients with acute ischemic stroke due to large vessel occlusion (AIS-LVO) after endovascular treatment (EVT). We hypothesize that asymmetry of the internal cerebral veins (ICVs) on baseline CT angiogram (CTA) may serve as an adjunctive predictor of HT.
Methods: We conducted a study on consecutive AIS-LVO patients from November 2020 to April 2022.
Front Bioeng Biotechnol
January 2025
Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Iliac Vein Compression Syndrome (IVCS) is a common risk factor for deep vein thrombosis in the lower extremities. The objective of this study was to investigate whether employing a porous medium model to simulate the compressed region of an iliac vein could improve the reliability and accuracy of Computational Fluid Dynamics (CFD) analysis outcomes of IVCS. Pre-operative Computed Tomography (CT) scan images of patients with IVCS were utilized to reconstruct models illustrating both the compression and collateral circulation of the iliac vein.
View Article and Find Full Text PDFZh Nevrol Psikhiatr Im S S Korsakova
January 2025
Pirogov Russian National Research Medical University (Pirogov University), Moscow, Russia.
Hemorrhagic transformation (HT) is a serious complication that worsens outcomes and increases mortality in patients with ischemic stroke (IS). HT can occur both spontaneously and after reperfusion therapy. Severe ischemic injury in IS is not sufficient in itself to cause HT; one of the key elements in its development is reperfusion.
View Article and Find Full Text PDFSci Rep
January 2025
DeepClue Inc., Deajeon, Republic of Korea.
To validate the clinical feasibility of deep learning-driven magnetic resonance angiography (DL-driven MRA) collateral map in acute ischemic stroke. We employed a 3D multitask regression and ordinal regression deep neural network, called as 3D-MROD-Net, to generate DL-driven MRA collateral maps. Two raters graded the collateral perfusion scores of both conventional and DL-driven MRA collateral maps and measured the grading time.
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