Anaemia is an independent predictor of poor outcome in patients with chronic heart failure

2003 ◽  
Vol 90 (2-3) ◽  
pp. 303-308 ◽  
Author(s):  
J Szachniewicz ◽  
J Petruk-Kowalczyk ◽  
J Majda ◽  
A Kaczmarek ◽  
K Reczuch ◽  
...  
2003 ◽  
Vol 2 (1) ◽  
pp. 111
Author(s):  
J SZACHNIEWICZ ◽  
E JANKOWSKA ◽  
A KUSKLINOWSKA ◽  
J MAJDA ◽  
R ZYMLINSKI ◽  
...  

2009 ◽  
Vol 15 (7) ◽  
pp. S171
Author(s):  
Takehisa Susa ◽  
Shigeki Kobayashi ◽  
Takeo Tanaka ◽  
Shinichi Okuda ◽  
Masahiro Doi ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Haiyun Yu ◽  
Juanhui Pei ◽  
Xiaoyan Liu ◽  
Jingzhou Chen ◽  
Xian Li ◽  
...  

The purpose of this study was to evaluate whether CC-AAbs levels could predict prognosis in CHF patients. A total of 2096 patients with CHF (841 DCM patients and 1255 ICM patients) and 834 control subjects were recruited. CC-AAbs were detected and the relationship between CC-AAbs and patient prognosis was analyzed. During a median follow-up time of 52 months, there were 578 deaths. Of these, sudden cardiac death (SCD) occurred in 102 cases of DCM and 121 cases of ICM. The presence of CC-AAbs in patients was significantly higher than that of controls (bothP<0.001). Multivariate analysis revealed that positive CC-AAbs could predict SCD (HR 3.191, 95% CI 1.598–6.369 for DCM; HR 2.805, 95% CI 1.488–5.288 for ICM) and all-cause mortality (HR 1.733, 95% CI 1.042–2.883 for DCM; HR 2.219, 95% CI 1.461–3.371 for ICM) in CHF patients. A significant association between CC-AAbs and non-SCD (NSCD) was found in ICM patients (HR = 1.887, 95% CI 1.081–3.293). Our results demonstrated that the presence of CC-AAbs was higher in CHF patients versus controls and corresponds to a higher incidence of all-cause death and SCD. Positive CC-AAbs may serve as an independent predictor for SCD and all-cause death in these patients.


2016 ◽  
Vol 22 (9) ◽  
pp. S163
Author(s):  
Toshiyuki Shikata ◽  
Koujiro Takamoto ◽  
Jun-Ichi Sakamoto ◽  
Satoyasu Ito ◽  
Eri Manabe ◽  
...  

2020 ◽  
Vol 11 (5) ◽  
pp. 1242-1249 ◽  
Author(s):  
Stephan Haehling ◽  
Tania Garfias Macedo ◽  
Miroslava Valentova ◽  
Markus S. Anker ◽  
Nicole Ebner ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document