عنوان انگلیسی مقاله:
Data mining: Biological and temporal factors associated with blood cardiac troponin I concentration in a Chinese population
ترجمه فارسی عنوان مقاله:
داده کاوی: عوامل بیولوژیکی و زمانی مرتبط با غلظت تروپونین I قلبی خون در یک جمعیت چینی
Sciencedirect - Elsevier - Clinica Chimica Acta, 495 (2019) 8-12: doi:10:1016/j:cca:2019:03:1628
Dandan Lia,1, Danying Wangb,1, Danchen Wanga,1, Chaochao Maa, Jie Wua,⁎, Pengchang Lia, Xiuzhi Guoa, Ling Qiua
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
Keywords: Biological factors | cTnI | Sex | Age | Blood collection ti