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Correlation between Urea Creatinine Ratio (UCR) and lipid profile in COVID-19 patients



Abstract

Background: SARS-CoV-2, as the leading cause of COVID-19 disease, can cause kidney disorders characterized by the presence of hematuria, increased creatinine, and other kidney pathological conditions. Since a 24-hour urine examination as the gold standard for urea examination has several weaknesses, it is necessary to carry out an alternative examination method especially, the Urea Creatinine Ratio (UCR). This study evaluates the correlation between UCR and lipid profile in COVID-19 patients.

Methods: A descriptive-analytical design with a cross-sectional approach is applied. COVID-19 patients with positive PCR were examined for UCR, Total Cholesterol, Triglycerides, HDL, and LDL. The assessment was based on clinical chemistry analysis using an automatic analyzer. We perform a normality test using Shapiro-Wilk. The Pearson correlation test is used to see a correlation between variables. The study was conducted at Siloam Hospital in April-August 2021. Data were analyzed using SPSS version 20 for Windows.

Results: There was no significant difference between UCR and the other variables based on the statistical analysis test (p>0.05). There was no significant correlation between UCR and cholesterol total (p= 0.230), UCR and Triglyceride (p= 0.680, UCR and HDL (p=0.970) and UCR and LDL (p= 0.190).  

Conclusion: There is no significant correlation between UCR and lipid profile in COVID-19 patients

Keywords: UCR Cholesterol Total Triglycerides HDL LDL

References

  1. Bouey J. Strengthening China's Public Health Response System: From SARS to COVID-19. Am J Public Health. 2020;110(7):939-940.
  2. Wang Y, Wang Y, Chen Y, Qin Q. Unique epidemiological and clinical features of the emerging 2019 novel coronavirus pneumonia (COVID-19) implicate special control measures. J Med Virol. 2020;92(6):568-576.
  3. Rezaei A, Neshat S, Heshmat-Ghahdarijani K. Alterations of Lipid Profile in COVID-19: A Narrative Review. Curr Probl Cardiol. 2021;100907.
  4. Lorizate M, Kräusslich HG. Role of lipids in virus replication. Cold Spring Harb Perspect Biol. 2011;3(10):a004820.
  5. Murillo A, Vera-Estrella R, Barkla BJ, Méndez E, Arias CF. Identification of Host Cell Factors Associated with Astrovirus Replication in Caco-2 Cells. J Virol. 2015;89(20):10359-10370.
  6. Mahat RK, Rathore V, Singh N, Singh N, Singh SK, Shah RK, et al. Lipid profile as an indicator of COVID-19 severity: A systematic review and meta-analysis. Clin Nutr ESPEN. 2021;45:91-101.
  7. Masana L, Correig E, Ibarretxe D, Anoro E, Arroyo JA, Jericó C, et al. Low HDL and high triglycerides predict COVID-19 severity. Sci Rep. 2021;11(1):7217.
  8. Guan WJ, Liang WH, Zhao Y, Liang HR, Chen ZS, Li YM, et al. Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis. Eur Respir J. 2020;55(5):2000547.
  9. Ng JJ, Luo Y, Phua K, Choong AMTL. Acute kidney injury in hospitalized patients with coronavirus disease 2019 (COVID-19): A meta-analysis. J Infect. 2020;81(4):647-679.
  10. Huang J, Lin H, Wu Y, Fang Y, Kumar R, Chen G, et al. COVID-19 in posttransplant patients-report of 2 cases. Am J Transplant. 2020;20(7):1879-1881.
  11. Artha IMJR, Bhargah A, Dharmawan NK, Pande UW, Triyana KA, Mahariski PA, et al. High level of individual lipid profile and lipid ratio as a predictive marker of poor glycemic control in type-2 diabetes mellitus. Vasc Health Risk Manag. 2019;15:149-157.
  12. Hoeboer SH, Oudemans-van Straaten HM, Groeneveld AB. Albumin rather than C-reactive protein may be valuable in predicting and monitoring the severity and course of acute respiratory distress syndrome in critically ill patients with or at risk for the syndrome after new onset fever. BMC Pulm Med. 2015;15:22.
  13. Wu YY, Li HY, Xu XB, Zheng KX, Qi XS, Guo XZ. Clinical features and outcome of treatment for novel coronavirus pneumonia: a meta-analysis. Zhonghua Gan Zang Bing Za Zhi. 2020;28(3):240-246.
  14. Fauziah YN, Suryanto. Perbedaan Kadar Trigliserid pada Penderita Diabetes Melitus Tipe 2 Terkontrol dengan Diabetes Melitus Tipe 2 Tidak Terkontrol. Mutiara Medika: Jurnal Kedokteran dan Kesehatan. 2012;12(3):188-94.
  15. Gordillo R, Spitzer A. The nephrotic syndrome. Pediatr Rev. 2009;30(3):94-105.
  16. Karim S, Gul-e-Rana RK, Karim S, Farooqi B. Role of ions, lipids, serum and urinary protein profile in developing hypertension. Rawal Med. J. 2006;31(1):14-16.
  17. Shandilya A, Pandey J. Lipid Profile Abnormalities in Nephrotic Syndrome. International journal of medical science and diagnosis research. 2018;2(4):27-29.
  18. Watuseke AE, Polii H, Wowor PM. Gambaran kadar lipid trigliserida pada pasien usia produktif di Puskesmas Bahu Kecamatan Malalayang Kota Manado periode November 2014–Desember 2014. PAAI eBiomedik. 2016;4(2):1-5.
  19. Kari JA, Tashkandi M, Medhat AM, Khoja SO, Ramadan KS. Lipoprotein (a) and other dyslipidemia in Saudi children with nephrotic syndrome (SSNS and SRNS). Journal of Health Science. 2012;2(6):57-63.

How to Cite

Samsuria, I. K., Ariosta, A., & Sujianto, U. (2022). Correlation between Urea Creatinine Ratio (UCR) and lipid profile in COVID-19 patients. Bali Medical Journal, 11(1), 73–76. https://doi.org/10.15562/bmj.v11i1.2945
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Indranila Kustarini Samsuria
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Ariosta Ariosta
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Untung Sujianto
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