scholarly journals Age- and Sex-Dependent Upper Reference Limits for the High-Sensitivity Cardiac Troponin T Assay

2014 ◽  
Vol 63 (14) ◽  
pp. 1441-1448 ◽  
Author(s):  
M. Odette Gore ◽  
Stephen L. Seliger ◽  
Christopher R. deFilippi ◽  
Vijay Nambi ◽  
Robert H. Christenson ◽  
...  
Keyword(s):  
Cardiac Troponin ◽  
Troponin T ◽  
High Sensitivity ◽  
Cardiac Troponin T ◽  
Reference Limits ◽  
Age And Sex

scholarly journals Reference limits of high-sensitive cardiac troponin T indirectly estimated by a new approach applying data mining. A special example for measurands with a relatively high percentage of values at or below the detection limit

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Rainer Haeckel ◽  
Werner Wosniok ◽  
Antje Torge ◽  
Ralf Junker ◽  
_ _
Keyword(s):  
Detection Limit ◽  
Cardiac Troponin ◽  
Troponin T ◽  
Present Report ◽  
Age Groups ◽  
Specific Reference ◽  
Cardiac Troponin T ◽  
Decision Limit ◽  
Reference Limits ◽  
Age And Sex

AbstractA new model for the indirect estimation of reference limits (RLs) has been proposed recently and was coined TMC approach (truncated minimum chi-square estimation) which can be performed with R statistic. A spline function is applied to the RLs to get a continuous function if age is graphically presented vs. the RLs avoiding artificial “jumps” between different age groups. Most indirect models assume a power normal distribution and fail if this assumption is not fulfilled as e.g. if a relatively high percentage of measured values is below the detection limit and the data are distributed extremely skewed. This problem is handled by the TMC model. High-sensitive cardiac troponin T (hs cTnT) was chosen as an example. The hs cTnT concentration in serum or plasma is well accepted as a valuable marker in the diagnosis of acute myocardial infarction. Currently, the 99th percentile derived from a “healthy” subpopulation is the decision limit recommended by consensus groups. However, this decision limit is questioned by several authors for many reasons. In the present report, the 97.5th and the 99th percentile limits were reinvestigated by the TMC model with different subpopulations stratified according to age and sex and were finally compared to presently recommended decision limits. In summary, the generally recommended 99th percentile as a fixed decision limit should be reconsidered. It is suggested to apply more specific reference limits stratified for age and sex instead of a fixed decision limit.

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.

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