scholarly journals Serum S100A12 and Progression of Coronary Artery Calcification Over 4 Years in Hemodialysis Patients

2015 ◽  
Vol 42 (1) ◽  
pp. 4-13 ◽  
Author(s):  
Yin-na Wang ◽  
Yi Sun ◽  
Ying Wang ◽  
Yan-li Jia

Background/Aim: Vascular calcification is common and contributes to increased cardiovascular mortality in hemodialysis (HD) patients. In this prospective study, we aimed to investigate the associations of serum S100A12 in the presence of severe coronary artery calcification (CAC) and the progression of CAC in HD patients. Methods: Sixty maintenance HD patients and 30 controls were enrolled. Serum S100A12 levels were measured using ELISA. CAC scores (CACs) were measured twice at a 4-year interval using multislice spiral CT. The HD patients were classified as rapid progressors or slow progressors according to the change in the CACs across these 2 measurements (ΔCACs). Results: The incidences of rapid progression of CAC in patients with baseline CACs ≤10, CACs >10 and CACs >400 were 12.5, 40.0 and 64.3%, respectively. Both baseline and 4-year serum S100A12 levels were significantly higher in the rapid progressors than in the slow progressors (medians of 45.6 vs. 30.2 ng/ml, p < 0.001 and 62.3 vs. 39.4 ng/ml, p = 0.002, respectively). The serum S100A12 levels were significantly correlated with baseline CACs (r = 0.466, p < 0.001), 4-year CACs (r = 0.440, p < 0.001) and ΔCACs (r = 0.392, p < 0.001). Importantly, the ΔCACs were significantly correlated with ΔS100A12 levels (r = 0.396, p < 0.001). Logistic regression analysis revealed that the serum S100A12 level was as an independent determinant of the presence of severe CAC and that the increment in the serum S100A12 level was a factor that was significantly independently associated with the progression of CAC. Conclusions: Serum S100A12 levels were significantly associated with the presence of severe CAC, and the increment in serum S100A12 levels was an independent determinant of the progression of CAC.

2004 ◽  
Vol 27 (8) ◽  
pp. 527-533 ◽  
Author(s):  
Kosaku NITTA ◽  
Takashi AKIBA ◽  
Koichi SUZUKI ◽  
Keiko UCHIDA ◽  
Tetsuya OGAWA ◽  
...  

2011 ◽  
Vol 3 (2) ◽  
pp. 89-92 ◽  
Author(s):  
Chi-Ming Lee ◽  
Pzen-Wen Chen ◽  
Ting-Kai Leung ◽  
Hung-Jung Wang ◽  
Ching-Huei Kung ◽  
...  

2000 ◽  
Vol 41 (2) ◽  
pp. 116-121 ◽  
Author(s):  
L.-M. Zheng ◽  
S. Sone ◽  
Y. Itani ◽  
Q. Wang ◽  
K. Hanamura ◽  
...  

Purpose: To test the effect of digital compression of CT images on the detection of small linear or spotted high attenuation lesions such as coronary artery calcification (CAC). Material and Methods: Fifty cases with and 50 without CAC were randomly selected from a population that had undergone spiral CT of the thorax for screening lung cancer. CT image data were compressed using JPEG (Joint Photographic Experts Group) or wavelet algorithms at ratios of 10:1, 20:1 or 40:1. Five radiologists reviewed the uncompressed and compressed images on a cathode-ray-tube. Observer performance was evaluated with receiver operating characteristic analysis. Results: CT images compressed at a ratio as high as 20:1 were acceptable for primary diagnosis of CAC. There was no significant difference in the detection accuracy for CAC between JPEG and wavelet algorithms at the compression ratios up to 20:1. CT images were more vulnerable to image blurring on the wavelet compression at relatively lower ratios, and "blocking" artifacts occurred on the JPEG compression at relatively higher ratios. Conclusion: JPEG and wavelet algorithms allow compression of CT images without compromising their diagnostic value at ratios up to 20:1 in detecting small linear or spotted high attenuation lesions such as CAC, and there was no difference between the two algorithms in diagnostic accuracy.


2011 ◽  
Vol 34 (3) ◽  
pp. 180-187 ◽  
Author(s):  
Biagio Di Iorio ◽  
Onorio Nargi ◽  
Emanuele Cucciniello ◽  
Vincenzo Bellizzi ◽  
Serena Torraca ◽  
...  

ASAIO Journal ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Zhixiang Bian ◽  
Qin Zhang ◽  
Li Shen ◽  
Yanping Feng ◽  
Shunjie Chen

2013 ◽  
Vol 46 (3) ◽  
pp. 599-605 ◽  
Author(s):  
Murat Guney ◽  
Abdullah Ozkok ◽  
Yasar Caliskan ◽  
Hamdi Pusuroglu ◽  
Halil Yazici ◽  
...  

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