scholarly journals A Joint Evaluation of Neurohormone Vasopressin-Neurophysin II-Copeptin and Aortic Arch Calcification on Mortality Risks in Hemodialysis Patients

2020 ◽  
Vol 7 ◽  
Author(s):  
Jia-Feng Chang ◽  
Yu-Shao Chou ◽  
Chang-Chin Wu ◽  
Po-Cheng Chen ◽  
Wen-Chin Ko ◽  
...  
2009 ◽  
Vol 13 (3) ◽  
pp. 301-306 ◽  
Author(s):  
Tetsuya OGAWA ◽  
Hideki ISHIDA ◽  
Nami MATSUDA ◽  
Ayuko FUJIU ◽  
Akiko MATSUDA ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Yit-Sheung Yap ◽  
Kai-Ting Ting ◽  
Wen-Che Chi ◽  
Cheng-Hao Lin ◽  
Yi-Chun Liu ◽  
...  

Objectives. The aim of the study was to identify the factors associated with repeated arteriovenous fistula (AVF) failure within 1-year, especially the impact of aortic arch calcification (AAC) on patency of AVF.Materials and Methods. We retrospectively assessed chest radiography in hemodialysis patients who had undergone initial AVF. The extent of AAC was categorized into four grades (0–3). The association between AAC grade, other clinical variables, and repeated failure of AVF was then analyzed by binary logistic regression analysis.Results. This study included 284 patients (158 males, mean age61.7±13.1years). Patients with higher AAC grade were older, had more frequently diabetes mellitus and cardiovascular disease, had lower diastolic blood pressure, and had higher corrected calcium and lower intact parathyroid hormone levels. In multivariate analysis, the presence of higher AAC grade (odds ratio (95% confidence interval): 2.98 (1.43–6.23);p=0.004), lower mean corrected calcium (p=0.017), and mean serum albumin level (p=0.008) were associated with repeated failure of AVF.Conclusions. The presence of higher AAC grade, lower mean corrected calcium and mean serum albumin level were independently associated with repeated AVF failure within 1 year in hemodialysis patients.


2010 ◽  
Vol 25 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Tetsuya Ogawa ◽  
Hideki Ishida ◽  
Mayuko Akamatsu ◽  
Nami Matsuda ◽  
Ayuko Fujiu ◽  
...  

2016 ◽  
Vol 13 (2) ◽  
pp. 92-98 ◽  
Author(s):  
Terry Ting-Yu Chiou ◽  
Shang-Chih Liao ◽  
Yu-Yin Kao ◽  
Wen-Chin Lee ◽  
Yueh-Ting Lee ◽  
...  

2009 ◽  
Vol 42 (1) ◽  
pp. 187-194 ◽  
Author(s):  
Tetsuya Ogawa ◽  
Hideki Ishida ◽  
Mayuko Akamatsu ◽  
Nami Matsuda ◽  
Ayuko Fujiu ◽  
...  

2021 ◽  
Vol 11 (7) ◽  
pp. 657
Author(s):  
Shih-Hsiang Ou ◽  
Yi-Hsueh Liu ◽  
Tung-Ling Chung ◽  
Jiun-Chi Huang ◽  
Pei-Yu Wu ◽  
...  

Patients with end-stage renal disease have a higher risk of cardiovascular morbidity and mortality. In this study, we investigated the predictive ability of a combination of cardiothoracic ratio (CTR) and aortic arch calcification (AoAC) for overall and cardiovascular mortality in patients receiving hemodialysis. We also evaluated the predictive power of AoAC and CTR for clinical outcomes. A total of 365 maintenance hemodialysis patients were included, and AoAC and CTR were measured using chest radiography at enrollment. We stratified the patients into four groups according to a median AoAC score of three and CTR of 50%. Multivariable Cox proportional hazards analysis was used to identify the risk factors of mortality. The predictive performance of the model for clinical outcomes was assessed using the χ2 test. Multivariable analysis showed that, compared to the AoAC < 3 and CTR < 50% group, the AoAC ≥ 3 and CTR < 50% group (hazard ratio [HR], 4.576; p < 0.001), and AoAC ≥ 3 and CTR ≥ 50% group (HR, 5.912; p < 0.001) were significantly associated with increased overall mortality. In addition, the AoAC < 3 and CTR ≥ 50% (HR, 3.806; p = 0.017), AoAC ≥ 3 and CTR < 50% (HR, 4.993; p = 0.002), and AoAC ≥ 3 and CTR ≥ 50% (HR, 8.614; p < 0.001) groups were significantly associated with increased cardiovascular mortality. Furthermore, adding AoAC and CTR to the basic model improved the predictive ability for overall and cardiovascular mortality. The patients who had a high AoAC score and cardiomegaly had the highest overall and cardiovascular mortality among the four groups. Furthermore, adding AoAC and CTR improved the predictive ability for overall and cardiovascular mortality in the hemodialysis patients.


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