دورية أكاديمية

Extraction of B12 Reference Intervals from a Large Amount of General Patient Data.

التفاصيل البيبلوغرافية
العنوان: Extraction of B12 Reference Intervals from a Large Amount of General Patient Data.
المؤلفون: Gavars, Didzis, Perminov, Dmitry, Tauckels, Eriks, Lindenberga, Ilze, Tutāne, Anna, Auce, Agris
المصدر: Proceedings of the Latvian Academy of Sciences. Section B: Natural, Exact & Applied Sciences; Jun2022, Vol. 76 Issue 3, p333-337, 5p
مصطلحات موضوعية: VITAMIN B12, GAUSSIAN distribution, DISTRIBUTION (Probability theory), VITAMINS, PATHOLOGICAL laboratories
مصطلحات جغرافية: LATVIA
مستخلص: This study compared the reference intervals (RI) of B12 vitamin concentration in blood found in the literature with RIs extracted from data accumulated from a large number of patients by E. Gulbis Laboratory in Latvia. This paper investigated and demonstrated the possibility of using large amounts of random patient data to establish the RI for clinical laboratory tests. The blood level of B12 vitamin was selected as the model system for this study. The study used blind data for B12 blood level measurements from 132 379 patients accumulated in E. Gulbis Laboratory over a period of 15 years. In order to establish the reference intervals, the frequency distribution of log transformed B12 values was fit to a Gaussian distribution. The established B12 reference interval of 196 pg/ml and 942 pg/ml was found to be in good agreement with RIs reported elsewhere. [ABSTRACT FROM AUTHOR]
Copyright of Proceedings of the Latvian Academy of Sciences. Section B: Natural, Exact & Applied Sciences is the property of Sciendo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:1407009X
DOI:10.2478/prolas-2022-0050