scholarly journals Soluble ST2 and Interleukin-33 Levels in Coronary Artery Disease: Relation to Disease Activity and Adverse Outcome

PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e95055 ◽  
Author(s):  
Svitlana Demyanets ◽  
Walter S. Speidl ◽  
Ioannis Tentzeris ◽  
Rudolf Jarai ◽  
Katharina M. Katsaros ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hack-Lyoung Kim ◽  
Jung Pyo Lee ◽  
Nathan Wong ◽  
Woo-Hyun Lim ◽  
Jae-Bin Seo ◽  
...  

AbstractThe role of ST2 in stable coronary artery disease (CAD) has not yet been well defined. This study was performed to investigate baseline serum soluble ST2 (sST2) level can predict clinical outcomes in patients with stable CAD. A total of 388 consecutive patients with suspected CAD (65 years and 63.7% male) in stable condition referred for elective invasive coronary angiography (ICA) was prospectively recruited. Major adverse cardiovascular event (MACE), including cardiac death, non-fatal myocardial infarction, coronary revascularization (90 days after ICA), and ischemic stroke during clinical follow-up was assessed. Most of the patients (88.0%) had significant CAD (stenosis ≥ 50%). During median follow-up of 834 days, there was 29 case of MACE (7.5%). The serum sST2 level was significantly higher in patients with MACE than those without (47.3 versus 30.6 ng/ml, P < 0.001). In multiple Cox regression model, higher sST2 level (≥ 26.8 ng/ml) was an independent predictor of MACE even after controlling potential confounders (hazard ratio, 13.7; 95% confidence interval 1.80–104.60; P = 0.011). The elevated level of baseline sST2 is associated with an increased risk of adverse clinical events in stable CAD patients. Studies with larger sample size are needed to confirm our findings.


Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Yoshinobu Kitta ◽  
Mitsumasa Hirano ◽  
Takamitsu Nakamura ◽  
Yasushi Kodama ◽  
Keita Sano ◽  
...  

Although microalbuminuria is considered a strong risk factor of future cardiovascular disease (CVD), it remains unclear whether changes in urine albumin excretion (UAE) in response to a reduction of coronary risk factors may provide prognostic information in patients with coronary artery disease (CAD). Thus, this study assessed the hypothesis that changes in UAE in response to optimized therapy for reduction of CAD risk may predict future CVD events in patients with CAD. This study enrolled of 213 patients with newly diagnosed CAD who had microalbuminuria (30 mg/day ≤ UAE < 300 mg/day) at entry. Patients with late-stage chronic kidney disease (GFR < 60 ml/min/1.73 m 2 ) at entry were excluded. All patients had individualized, optimized therapies including medications and recommended life style changes to reduce risk factors for CAD according to AHA guidelines. All patients had a repeated test of UAE at 6 months (2 nd test) after the 1 st UAE test. Thereafter, all patients were prospectively followed up for 3 years or until the occurrence of 1 of the following events: CVD death, nonfatal myocardial infarction, unstable angina pectoris requiring revascularization, or ischemic stroke. Progression of UAE at the 2 nd test was defined as > 50% increase from the UAE at the 1 st test. UAE at 2 nd test was progressed in 62 (29%) patients, while it was not progressed in the remaining 151 (71%) patients. UAE at entry was comparable between patients with and without progression of UAE (52 ± 6.2 vs.61 ± 4.7 mg/day, respectively, p = ns). During follow-up period, events occurred in 15 (24%) of the 62 patients with progression of UAE and in 16 (10%) of the 151 patients without progression of UAE (p < 0.01 by chi-square test). Using a multivariate Cox hazards analysis, progression of UAE was a predictor of future CVD events that was independent of UAE at 1 st test, use of medications, age, and traditional CAD risk factors (HR 2.5, 95%CI 1.2 – 4.8, p = 0.01). Progression of urine albumin excretion despite individualized and optimized therapies to reduce CAD risk factors represents an adverse outcome in CAD patients. Periodic measurement of urine albumin excretion may be useful for risk stratification in CAD.


Circulation ◽  
1998 ◽  
Vol 98 (4) ◽  
pp. 294-299 ◽  
Author(s):  
Gilles Montalescot ◽  
François Philippe ◽  
Annick Ankri ◽  
Eric Vicaut ◽  
Etienne Bearez ◽  
...  

2010 ◽  
Vol 144 (1) ◽  
pp. 75-76 ◽  
Author(s):  
Hannes F. Alber ◽  
Maria Wanitschek ◽  
Christina Duftner ◽  
Jakob Doerler ◽  
Michael Schirmer ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (4) ◽  
pp. e95402 ◽  
Author(s):  
José Tuñón ◽  
Carmen Cristóbal ◽  
Nieves Tarín ◽  
Álvaro Aceña ◽  
María Luisa González-Casaus ◽  
...  

2008 ◽  
Vol 29 (5) ◽  
pp. 649-657 ◽  
Author(s):  
R. Schnabel ◽  
C. M. Messow ◽  
E. Lubos ◽  
C. Espinola-Klein ◽  
H. J. Rupprecht ◽  
...  

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