High-sensitivity cardiac troponin T in patients with intermittent claudication and its relation with cardiovascular events and all-cause mortality – The CAVASIC Study

2014 ◽  
Vol 237 (2) ◽  
pp. 711-717 ◽  
Author(s):  
Johannes Pohlhammer ◽  
Florian Kronenberg ◽  
Barbara Rantner ◽  
Marietta Stadler ◽  
Slobodan Peric ◽  
...  
2020 ◽  
Author(s):  
Xiaona Wang ◽  
Ruihua Cao ◽  
Xu Yang ◽  
Wenkai Xiao ◽  
Yun Zhang ◽  
...  

Abstract Background: The relationship between high-sensitivity cardiac troponin T (hs-cTnT) and different cardiovascular events has been observed in several large community studies, and the results have been controversial. However, there is currently no cross-sectional or longitudinal follow-up study on hs-cTnT in the Chinese population.Methods: We analyzed the association of plasma hs-cTnT levels with major adverse cardiovascular events and all-cause mortality in 1325 subjects from a longitudinal follow-up community-based population in Beijing, China.Results: In the Cox proportional hazards models analysis, the risk of MACE increased with the increase of hs-cTnT levels (HR, 1.223, 95% CI, 1.054–1.418, P = 0.008). Increased hs-cTnT levels were associated with coronary events (HR, 1.391, 95% CI, 1.106–1.749, P = 0.005) in Model 4. Cox proportional risk regression model analysis revealed that increased hs-cTnT levels were associated with an increased risk of mortality (HR, 1.763, 95% CI, 1.224–2.540, P = 0.002), even after adjusting hs-CRP and NT-proBNP. The area under the ROC curve for predicting MACE was 0.559 (95% CI, 0.523–0.595, P = 0.001). The areas under the ROC curve for predicting coronary events and mortality were 0.629 (95% CI, 0.580–0.678, P < 0.001) and 0.644 (95% CI, 0.564–0.725, P < 0.001), respectively.Conclusions: Our findings in the Chinese cohort support that hs-cTnT is a risk factor for major adverse cardiovascular events and all-cause mortality.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiaona Wang ◽  
Peiqi Wang ◽  
Ruihua Cao ◽  
Xu Yang ◽  
Wenkai Xiao ◽  
...  

Background. The relationship between high-sensitivity cardiac troponin T (hs-cTnT) and different cardiovascular events has been observed in several large community studies, and the results have been controversial. However, there is currently no cross-sectional or longitudinal follow-up study on hs-cTnT in the Chinese population. Methods. We analyzed the association of plasma hs-cTnT levels with major adverse cardiovascular events (MACEs) and all-cause mortality in 1325 subjects from a longitudinal follow-up community-based population in Beijing, China. Results. In the Cox proportional hazards models analysis, the risk of MACEs increased with the increase of hs-cTnT levels (HR, 1.223, 95% CI, 1.054–1.418, P = 0.008 ). Increased hs-cTnT levels were associated with coronary events (HR, 1.391, 95% CI, 1.106–1.749, P = 0.005 ) in Model 4. Cox proportional risk regression model analysis revealed that increased hs-cTnT levels were associated with an increased risk of mortality (HR, 1.763, 95% CI, 1.224–2.540, P = 0.002 ), even after adjusting hs-CRP and NT-proBNP. The area under the ROC curve for predicting MACEs was 0.559 (95% CI, 0.523–0.595, P = 0.001 ). The areas under the ROC curve for predicting coronary events and mortality were 0.629 (95% CI, 0.580–0.678, P < 0.001 ) and 0.644 (95% CI, 0.564–0.725, P < 0.001 ), respectively. Conclusions. Our findings in the Chinese cohort support that hs-cTnT is a risk factor for major adverse cardiovascular events and all-cause mortality.


2007 ◽  
Vol 53 (5) ◽  
pp. 882-889 ◽  
Author(s):  
Angela Yee-Moon Wang ◽  
Christopher Wai-Kei Lam ◽  
Mei Wang ◽  
Iris Hiu-Shuen Chan ◽  
William B Goggins ◽  
...  

Abstract Background: We investigated whether cardiac troponin T (cTnT) independently predicted outcome and added prognostic value over other clinical risk predictors in chronic peritoneal dialysis (PD) with end-stage renal disease. Methods: Baseline cTnT, echocardiography, indices of dialysis adequacy, and biochemical characteristics were assessed in 238 chronic PD patients who were followed prospectively for 3 years or until death. Results: Using multivariable Cox regression analysis, cTnT remained predictive of all-cause mortality [hazard ratio 4.43, 95% CI 1.87–10.45, P = 0.001], cardiovascular death (4.12, 1.29–13.17, P = 0.017), noncardiovascular death (8.06, 1.86–35.03, P = 0.005), and fatal and nonfatal cardiovascular events (CVEs) (3.59, 1.48–8.70, P = 0.005) independent of background coronary artery disease, inflammation, residual renal function, left ventricular hypertrophy, and systolic dysfunction. cTnT alone had better predictive value than C-reactive protein (CRP) alone for mortality [area under the ROC curve (AUC) 0.774 vs 0.691; P = 0.089] and first CVE (AUC 0.711 vs 0.593; P = 0.009) at 3 years. Survival models including age, sex, and clinical, biochemical, and echocardiographic characteristics yielded AUCs of 0.813 (95% CI, 0.748–0.877), 0.800 (95% CI, 0.726–0.874), and 0.769 (95% CI, 0.708–0.830), respectively, in relation to all-cause mortality, cardiovascular death, and fatal and nonfatal cardiovascular events. After addition of cTnT, AUCs of the above models increased significantly to 0.832 (95% CI, 0.669–0.894; P = 0.0037), 0.810 (95% CI, 0.739–0.883; P = 0.0036), and 0.780 (95% CI, 0.720–0.840; P = 0.0002), respectively; no AUCs increased when CRP was added. Conclusions: cTnT is an independent predictor of long-term mortality, cardiovascular death and events, and noncardiovascular death in PD patients.


Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001682
Author(s):  
Andreas Roos ◽  
Martin J Holzmann

ObjectiveSeveral high-sensitivity cardiac troponin (hs-cTn)-based strategies exist for rule-out of myocardial infarction (MI). It is unknown whether historical hs-cTnT concentrations can be used. This study aim to evaluate the performance of a rule-out strategy based on the European Society of Cardiology (ESC) 0/1-hour algorithm, using historical hs-cTnT concentrations.MethodsAll visits among patients with chest pain in the emergency department at nine different hospitals in Sweden from 2012 to 2016 were eligible (221 490 visits). We enrolled patients with a 0-hour hs-cTnT of <12 ng/L, a second hs-cTnT measured within 3.5 hours, and ≥1 historical hs-cTnT available. We calculated the risks of MI and all-cause mortality using two rule-out strategies: (1) a delta hs-cTnT of <3 ng/L between the 0-hour hs-cTnT and the second hs-cTnT (modified ESC algorithm) and (2) a historical hs-cTnT <12 ng/L and a delta hs-cTnT of <3 ng/L in relation to the 0-hour hs-cTnT (historical-hs-cTnT algorithm).ResultsA total of 8432 patients were included, of whom 84 (1.0%) had an MI. The modified ESC algorithm triaged 8100 (96%) patients toward ruled-out, for whom 30-day MI risk and negative predictive value (NPV) for MI (95% CI) were 0.4% (0.3% to 0.6%) and 99.6% (99.4% to 99.7%), respectively. The historical-hs-cTnT algorithm ruled out 6700 (80%) patients, with a 30-day MI risk of 0.5% (0.4% to 0.8%) and NPV of 99.5% (99.2% to 99.6%).ConclusionsThe application of algorithm resulted in similar MI risk and NPV to an established algorithm. The usefulness of historical hs-cTnT concentrations should merit further attention.


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