Oxidative stress and inflammation are highly intertwined pathophysiological processes. We analyzed the markers of these processes and high-sensitive troponin I (hsTnI) for mortality prediction in patients on haemodialysis. This study enrolled a total of 62 patients on regular haemodialysis. The patients were monitored for two years, and the observed outcomes were all-cause and cardiovascular mortality. Blood samples were taken before one dialysis session for analysis of the baseline concentrations of prooxidant-antioxidant balance (PAB), total antioxidant status (TAS), total oxidative status (TOS), hsTnI, hsCRP and resistin. The overall all-cause mortality was 37.1% and CVD mortality 16.1%. By univariate and multivariate logistic regression, our findings suggest that good predictors of all-cause mortality include hsCRP and PAB (pâ<â.05) and of CVD mortality hsCRP (pâ<â.05) and hsTnI (pâ<â.001). To evaluate the relationship between the combined parameter measurements and all-cause/CVD mortality risk, patients were divided into three groups according to their PAB, hsCRP and hsTnI concentrations. The cutoffs for hsCRP and hsTnI and the median for PAB were used. Kaplan-Meier survival curves pointed out that the highest mortality risk of all-cause mortality was in the group with hsCRP levels above the cutoff and PAB levels above the median (pâ<â.001). The highest risk of CVD mortality was found in the group with hsCRP and hsTnI levels above the cutoff levels (pâ=â.001). Our data suggest that hsCRP and PAB are very good predictors of all-cause mortality. For CVD complications and mortality prediction in HD patients, the most sensitive parameters appear to be hsTnI and hsCRP.
Prooxidant-antioxidant balance, hsTnI and hsCRP: mortality prediction in haemodialysis patients, two-year follow-up.
促氧化剂-抗氧化剂平衡、hsTnI 和 hsCRP:血液透析患者的死亡率预测,两年随访
阅读:5
作者:Antunovic Tanja, Stefanovic Aleksandra, Gligorovic Barhanovic Najdana, Miljkovic Milica, Radunovic Danilo, Ivanisevic Jasmina, Prelevic Vladimir, Bulatovic Nebojsa, Ratkovic Marina, Stojanov Marina
| 期刊: | Renal Failure | 影响因子: | 3.000 |
| 时间: | 2017 | 起止号: | 2017 Nov;39(1):491-499 |
| doi: | 10.1080/0886022X.2017.1323645 | 研究方向: | 其它 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
