THE CORRELATION BETWEEN SERUM INDICES AND CERTAIN CHARACTERISTICS OF PATIENT SAMPLES AT CAN THO UNIVERSITY OF MEDICINE AND PHARMACY HOSPITAL
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Tóm tắt
Background: The presence of serum indices is a concern for most laboratories, and their distribution can be influenced by various factors such as age, gender, pathology. Objective: To determine the correlation between the distribution of serum indices and the characteristics of patient samples at Can Tho University of Medicine and Pharmacy Hospital. Materials and methods: A cross-sectional descriptive study was conducted on 1299 patient samples to determine the correlation between the distribution of serum indices with the characteristics of the patient samples. Results: The icterus index (3.16%) had a significant relationship with clinical department, age group, gender, type of test, and patient type. The lipemia index (0.92%) was related to gender, but there were no differences with other characteristics. Overall, 8.78% of specimens exhibited serum indices, primarily related to the clinical department (Outpatient 47.4%, Emergency 19.3%), type of test (routine 80.7%, emergency 19.3%), and patient type (outpatient 58.8%, inpatient 41.2%). Conclusion: Evaluating the correlation between serum indices and sample characteristics helps improve test quality, reduce errors, and optimize patient treatment processes.
Từ khóa
Serum indices, HIL indices, hemolysis index, icterus index, lipemia index
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Tài liệu tham khảo
2. Famularo G., De S.C. Jaundice and the sepsis syndrome: a neglected link. European Journal of Internal Medicine. 2003.14(4), 269-271, https://doi.org/10.1016/S0953-6205(03)00072-4.
3. Simundic A.M., Nikolac N., Ivankovic V., Ferenec-Ruzic D., Magdic B., et al. Comparison of visual vs. automated detection of lipemic, icteric and hemolyzed specimens: can we rely on a human eye?. Clinical Chemistry and Laboratory Medicine. 2009. 47(11), 1361-1365. doi:10.1515/CCLM.2009.306.
4. Tian G., Wu Y., Jin X., Zeng Z., Gu X., Li T., et al. The incidence rate and influence factors of hemolysis, lipemia, icterus in fasting serum biochemistry specimens. Plos One. 2022.17(1). https://doi.org/10.1371/journal.pone.0262748 .
5. Atakan Erkal F., Aykal G., Yalçınkaya H.M., Aksoy N., Özdemir M. The effect of automated hemolysis index measurement on sample and test rejection rates. Turkish Journal of Biochemistry. 2019. 44(5), 630-634. doi: 10.1515/tjb-2018-0462.
6. Lim Y.K., Cha Y.J. Proposal of modified HIL-indices for determining hemolysis, icterus and lipemia interference on the Beckman Coulter AU5800 Automated Platform. Laboratory Medicine Online. 2017. 7(2), 66-72. doi:10.3343/lmo.2017.7.2.66.
7. Nguyen Thi Ngoc Lan, Vu Van Quy, Ta Thanh Van. Survey of some characteristics of patient samples using serum indices tests. Journal of Medical ReseaRes. 2018.123 (7) - 2019, 9-14.
8. Mokhtariye, A., Varasteh, A. R., Alaei, A., Marzban, S., & Keyfi, F. Evaluation of hemolysis effect on hemoglobin measurement by capillary electrophoresis. Journal of Analytical Science and TechnoloTe. 2019.10, 1-4. doi: 10.1186/s40543-018-0161-1
9. Nikolac N. Lipemia: causes, interference mechanisms, detection and management. Biochemia Medica. 2014. 24(1), 57-67. doi: 10.11613/BM.2014.008.
10. Nguyen Thi Ngoc Lan, Vu Van Quy, Ta Thanh Van. Survey of some characteristics of patient samples using serum indices tests. Journal of Medical ReseaRes. 2018.123 (7) - 2019, 9-14.
11. Zhang, Y. V., Fan, S. L., & Kellogg, M. D. Effect of hemolysis, icterus, and lipemia on three acetaminophen assays: potential medical consequences of false positive results. Clinica Chimica Acta. 2201. 487, 287-292. doi: 10.1016/j.cca.2018.10.019.