scholarly journals Association of Glomerular Filtration Rate with High-Sensitivity Cardiac Troponin T in a Community-Based Population Study in Beijing

PLoS ONE ◽  
2012 ◽  
Vol 7 (5) ◽  
pp. e38218 ◽  
Author(s):  
Fan Wang ◽  
Ping Ye ◽  
Leiming Luo ◽  
Ruyi Xu ◽  
Yongyi Bai ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Population Study ◽  
Cardiac Troponin ◽  
Filtration Rate ◽  
Troponin T ◽  
High Sensitivity ◽  
Cardiac Troponin T ◽  
Community Based

scholarly journals Estimated Glomerular Filtration Rate is a Predictive Factor for High-Sensitivity Cardiac Troponin T in a Community-Based 4.8-year Prospective Study

2020 ◽  
Author(s):  
Jie Han ◽  
Xiaona Wang ◽  
Ping Ye ◽  
Ruihua Cao ◽  
Wenkai Xiao ◽  
...  
Keyword(s):  
Cardiac Troponin ◽  
Filtration Rate ◽  
Myocardial Injury ◽  
Estimated Glomerular Filtration Rate ◽  
Troponin T ◽  
Cardiac Troponin T ◽  
Community Based ◽  
Highly Sensitive ◽  
The Relationship

Abstract Objectives: Persistent elevation of cardiac troponin T (cTnT), which is considered as a sensitive and specific biomarker of myocardial injury, is frequently observed in patients with renal insufficiency. Meanwhile, estimated glomerular filtration rate (eGFR) is an independent risk factor of cardiovascular diseases. With a highly sensitive assay, the prevalence of detectable highly sensitive cTnT (hs-cTnT) is greatly improved even in general population. The aim of this study was to better understand the relationship between renal function (eGFR) and myocardial injury (hs-cTnT) in a community-based population.Methods: We analyzed the relationship between baseline eGFR and follow-up hs-cTnT, and the change of hs-cTnT in 1354 participants after 4.8 years follow-up.Results: In Pearson’s correlation analysis, baseline eGFR showed a negative relationship with follow-up hs-cTnT (r=-0.439; P < 0.001). In multiple linear regression analysis, baseline eGFR was independently and negatively associated with follow-up hs-cTnT (β=-0.310, P = 0.005). Stepwise logistic regression models revealed that baseline eGFR was significantly associated with the change in hs-cTnT after 4.8 years follow-up. However, the change in eGFR was not associated with the change in hs-cTnT.Conclusions: Baseline eGFR levels were independently and negatively associated with follow-up hs-cTnT. Furthermore, baseline eGFR levels were an independent predictor of the change in hs-cTnT 4.8 years follow-up, indicating a relationship between renal function and myocardial injury in a community-based population.

Evaluation of the 0 h/1 h high-sensitivity cardiac troponin T algorithm in diagnosis of non-ST-segment elevation myocardial infarction (NSTEMI) in Han population

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Chen Dongxu ◽  
Zhou Yannan ◽  
Yang Yilin ◽  
Yao Chenling ◽  
Gu Guorong ◽  
...  
Keyword(s):  
Cardiac Troponin ◽  
Troponin T ◽  
High Sensitivity ◽  
Cardiac Troponin T ◽  
Chinese Han ◽  
Han Population ◽  
St Segment Elevation ◽  
Segment Elevation Myocardial Infarction ◽  
St Segment ◽  
Rule Out

Abstract Objectives A rapid 0 h/1 h algorithm using high-sensitivity cardiac troponin T (hs-cTnT) for rule-out and rule-in of non-ST-segment elevation myocardial infarction (NSTEMI) is recommended by the European Society of Cardiology. We aim to prospectively evaluate the diagnostic performance of the algorithm in Chinese Han patients with suspected NSTEMI. Methods In this prospective diagnostic cohort study, 577 patients presenting to the emergency department with suspected NSTEMI and recent (<12 h) onset of symptoms were enrolled. The levels of serum hs-cTnT were measured on admission, 1 h later and 4–14 h later. All patients underwent the initial clinical assessment and were triaged into three groups (rule-out, rule-in and observe) according to the 0 h/1 h algorithm. The major cardiovascular events (MACE) were evaluated at the 7-day and 30-day follow-ups. Results Among 577 enrolled patients, NSTEMI was the final diagnosis for 106 (18.4%) patients. Based on the hs-cTnT 0 h/1 h algorithm, 148 patients (25.6%) were classified as rule-out, 278 patients (48.2%) as rule-in and 151 patients (26.2%) were assigned to the observe group. The rule-out approach resulted in a sensitivity of 100% and negative predictive value of 100%. The rule-in approach resulted in a specificity of 62.9% [95% CI (58.5–67.2%)] and positive predictive value of 37.1% [95%CI (31.3–42.8%)]. No MACE was observed in the rule-out group within 30-day follow-up. Conclusions The hs-cTnT 0 h/1 h algorithm is a safe tool for early rule-out of NSTEMI, while probably not an effective strategy for accurate rule-in of NSTEMI in Chinese Han population.

Sign in / Sign up

Export Citation Format

Share Document