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Zhao K, Shen B, Wei H, Lu R, Liu Y, Xu C, Cai H, Huang Y, Li P, Ye X, Li Y. Diagnostic value of high sensitivity cardiac troponin T (hs-cTnT) in dialysis patients with myocardial infarction. Front Cardiovasc Med 2023; 10:1278073. [PMID: 38188256 PMCID: PMC10768174 DOI: 10.3389/fcvm.2023.1278073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 12/01/2023] [Indexed: 01/09/2024] Open
Abstract
Background As a sensitive diagnostic marker for myocardial infarction (MI) in people with normal renal function, elevated high sensitivity cardiac troponin T (hs-cTnT) was often found in chronic kidney disease (CKD) patients requiring dialysis. However, the accuracy of baseline hs-cTnT in the diagnosis of MI (including Type 1 MI (T1MI) and Type 2 MI (T2MI)) in dialysis patients is still controversial. The aim of this study was to retrospectively explore whether there were any clinical indices that could increase the predictive value of hs-cTnT on admission for MI occurrence in dialysis patients. Methods Here, 136 patients with uremia who underwent regular dialysis with coronary angiography in the First Affiliated Hospital of Nanjing Medical University from August 2017 to October 2021 were enrolled. According to the coronary angiography results and the presence of clinical symptoms, the patients were divided into: (1). AMI group (n = 69; angiography positive) and Control group (n = 67; angiography negative); (2). T1MI group (n = 69; angiography positive), T2MI group (n = 7; angiography negative & symptomatic), and Control group (n = 60; angiography negative & asymptomatic). Results Here, we found the mean hs-cTnT on admission in the Control group was much lower than that in the AMI group. Hs-cTnT alone had a mediocre predictive performance, with an AUROC of 0.7958 (95% CI: 0.7220, 0.8696). Moreover, the ROC curve of hs-cTnT combined with the Triglyceride (TG), Time of dialysis, and Albumin (Alb) showed a higher sensitivity area [0.9343 (95% CI: 0.8901, 0.9786)] than that of single hs-cTnT. Next, hs-cTnT combined with the TG, Time of dialysis, and Alb also presented a better performance in predicting T1MI [0.9150 (95% CI: 0.8678, 0.9621)] or T2MI (0.9167 [0.9167 (95% CI: 0.8427, 0.9906)] occurrences. Last, these combined variables could better distinguish patient between T1MI and T2MI group than hs-cTnT alone. Conclusions On admission, a combination of hs-cTnT, TG, Time of dialysis, and Alb presented a higher sensitivity than hs-cTnT alone in predicting MI occurrence in dialysis patients, suggesting a better diagnostic approach for future clinical applications.
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Affiliation(s)
- Kun Zhao
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Bozhi Shen
- Department of Clinical Medicine, The First Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hongcheng Wei
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Rongsheng Lu
- Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments, Southeast University, Nanjing, China
| | - Yifan Liu
- Department of Clinical Medicine, The First Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chenchen Xu
- Department of Clinical Medicine, The First Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Haoran Cai
- Department of Clinical Medicine, The First Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yanhong Huang
- Department of Clinical Medicine, The First Clinical Medical College of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Peng Li
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiaoman Ye
- Department of Intensive Care Medicine, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yong Li
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Cardiology, The People's Hospital of Qijiang District, Qijiang, Chongqin, China
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Wang Y, Wang Y, Liu T, Qin Y, Tang F, Zhang X, Li Y. Association between endothelin-1, nitric oxide, and Gensini score in chronic coronary syndrome. BMC Cardiovasc Disord 2023; 23:602. [PMID: 38066423 PMCID: PMC10704739 DOI: 10.1186/s12872-023-03625-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Chronic coronary syndrome (CCS) is a major public health burden; its pathogenesis involves atherosclerosis and endothelial dysfunction. Endothelin-1 (ET-1) and nitric oxide (NO) are vasoactive substances synthesized by endothelial cells that play a crucial role in CCS development. The Gensini score (GS) is used for evaluating CCS severity based on lumen segment changes, stenosis degree, and coronary stenosis site. METHODS This prospective study included 71 patients with CCS; we evaluated the relationships between GS and ET-1 and NO serum levels were evaluated in these patients. The GS was calculated for all patients. Serum ET-1 & NO levels among other laboratory parameters were measured. RESULTS The high GS group had higher ET-1 and relatively NO expressions in the than the low GS group. GS was positively correlated with ET-1 and negatively correlated with NO, T4, and TSH levels. The results of the multiple linear regression analysis showed that ET-1 had the most significant effect on GS. CONCLUSIONS We found a strong association between ET-1, NO, and CCS severity. A combination of ET-1, NO, and GS is an essential predictor of CCS disease severity.
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Affiliation(s)
- Yujin Wang
- Lanzhou University Second College of Clinical Medicine, Lanzhou, China
- Department of Cardiology, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730030, China
- School of Nursing, Lanzhou University, Lanzhou, Gansu, China
| | - Yuqin Wang
- Lanzhou University Second College of Clinical Medicine, Lanzhou, China
| | - Tiaoxia Liu
- Department of Cardiology, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730030, China
| | - Yifan Qin
- Department of Cardiology, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730030, China
| | - Futian Tang
- Lanzhou University Second College of Clinical Medicine, Lanzhou, China
- Department of Cardiology, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730030, China
| | - Xiaowei Zhang
- Lanzhou University Second College of Clinical Medicine, Lanzhou, China.
- Department of Cardiology, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730030, China.
| | - Yongnan Li
- Lanzhou University Second College of Clinical Medicine, Lanzhou, China.
- Department of Cardiology, Lanzhou University Second Hospital, #82 Cuiyingmen, Lanzhou, 730030, China.
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