Literature DB >> 30922856

Data mining: Biological and temporal factors associated with blood cardiac troponin I concentration in a Chinese population.

Dandan Li1, Danying Wang2, Danchen Wang1, Chaochao Ma1, Jie Wu3, Pengchang Li1, Xiuzhi Guo1, Ling Qiu4.   

Abstract

BACKGROUND: Cardiac troponin is the cornerstone biomarker for the diagnosis of acute myocardial infarction. The aims of this study were to evaluate the association of biological and temporal factors with plasma cardiac troponin I (cTnI) concentration in a large group of Chinese outpatients and to explore which factor (sex, age, time of blood sampling, and season of the year) had the largest influence on plasma cTnI levels.
METHODS: Analytical data with outpatient cTnI results were downloaded from the laboratory information system from January 1, 2012 to September 20, 2018. All cTnI measurements were performed with a Siemens Dimension EXL automatic chemiluminescence immunoassay analyzer. A statistical method was used to strictly exclude outliers. A total of 86,381 outpatients were enrolled in the study.
RESULTS: In individuals over 60 years old, cTnI levels gradually increased with age in both males and females. cTnI reached its highest levels in individuals over 80 years old (0.030 μg/L in males and 0.027 μg/L in females). In individuals over 70 years old, cTnI levels were significantly higher in males than in females (P < .05). cTnI concentration varied between individuals with different times of blood sampling. In both men and women, cTnI concentrations reached a maximum at 05:00 (0.030 μg/L and 0.026 μg/L, respectively) and peaked again at 20:00 (0.029 μg/L and 0.023 μg/L, respectively). Additionally, there were significant differences in cTnI levels between the four seasons of the year (P < .05). In winter, cTnI levels were usually higher than in spring. Linear regression analysis showed that the factor "age ≥ 80" had the greatest impact on cTnI levels.
CONCLUSION: Plasma cTnI levels were significantly influenced by sex, age, time of blood sampling, and season of the year. Thus, in order to avoid incorrect identification of cTnI values as abnormal, a cTnI reference interval should be established, taking into consideration the sex and age of the individual, the time of day of blood sampling, and the season of the year.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Age; Biological factors; Blood collection time; Sex; cTnI

Mesh:

Substances:

Year:  2019        PMID: 30922856     DOI: 10.1016/j.cca.2019.03.1628

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  2 in total

1.  Comparison of four matrixes for diluting insulin in routine clinical measurements.

Authors:  Honglei Li; Danchen Wang; Xiuzhi Guo; Liangyu Xia; Qiong Wu; Xinqi Cheng
Journal:  J Clin Lab Anal       Date:  2020-06-07       Impact factor: 2.352

2.  Gender and age-specific reference intervals of common biochemical analytes in Chinese population: Derivation using real laboratory data.

Authors:  Danchen Wang; Chaochao Ma; Yutong Zou; Songlin Yu; Honglei Li; Xinqi Cheng; Ling Qiu; Tengda Xu
Journal:  J Med Biochem       Date:  2020-09-02       Impact factor: 3.402

  2 in total

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