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A new cystatin C based model for predicting COVID-19- associated mortality

Cilt: 3 Sayı: 2 31 Mayıs 2022
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A new cystatin C based model for predicting COVID-19- associated mortality

Öz

Background: This study aimed to investigate the effect of the Cystatin C based model on kidney function and the value of this model on predicting mortality in patients with the recent novel coronavirus disease (COVID-19).

Methods: Demographic characteristics, clinical manifestations, and laboratory measurements were measured in critically ill patients with COVID-19 infection. Patients were monitored until they were discharged from the hospital or died.

Results: 105 patients participated in this study. 29 of 105 patients were treated in the intensive care unit. Acute kidney injury developed in nearly all of these patients and developed in 6 other non-intensive care unit patients. 21 of the patients in the intensive care unit had exitus.

Conclusion: The cystatin C (sCys C )based model may be used to predict mortality in severe COVID-19 infections.

Anahtar Kelimeler

Acute kidney injury, Cystatin-C, mortality

Kaynakça

  1. 1. Hirsch JS, Ng JH, Ross DW, Northwell COVID-19 Research Consortium; Northwell Nephrology COVID-19 Research Consortium. Acute kidney injury in patients hospitalized with COVID-19. Kidney Int 2020; 98: 209-218
  2. 2. Guven G, Ince C, Topeli A. Cardio-Pulmonary-Renal Consequences of Severe COVID-19. Cardiorenal Med. 2021;11(3):133-139.
  3. 3. Laterza OF, Price CP, Scott MG. Cystatin C: an improved estimator of glomerular filtration rate? Clin Chem. 2002;48(5):699-707.
  4. 4. Dharnidharka VR, Kwon C, Stevens G. Serum cystatin C is superior to serum creatinine as a marker of kidney function: a meta-analysis. Am J Kidney Dis. 2002;40:221–6.
  5. 5. Roos JF, Doust J, Tett SE. Diagnostic accuracy of cystatin C compared to serum creatinine for the estimation of renal dysfunction in adults and children a meta-analysis. Clin Biochem. 2007;40:383–91.
  6. 6. Shlipak MG, Sarnak MJ, Katz R. Cystatin C and the risk of death and cardiovascular events among elderly persons. N Engl J Med. 2005;352:2049–60. 7. Ni L, Lü J, Hou LB. Cystatin C, associated with hemorrhagic and ischemic stroke, is a strong predictor of the risk of cardiovascular events and death in Chinese. Stroke. 2007; 38:3287–8.
  7. 8. World Health Organization, Clinical management of severe acute respiratory infection when novel coronavirus (2019- nCoV) infection is suspected: interim guidance, World Health Organization, 2020, Published January 2020.
  8. 9. Pei G, Zhang Z, Peng J. Renal Involvement and Early Prognosis in Patients with COVID-19 Pneumonia. J Am Soc Nephrol. 2020;31(6):1157-1165
  9. 10. Eknoyan G, Lameire N, Eckardt K. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidny Int Suppl. 2013;3(1):1-150.
  10. 11. Mathisen UD, Melsom T, Ingebretsen OC. Estimated GFR associates with cardio vascular risk factors independently of measured GFR. J Am Soc Nephrol. 2011;22(5):927-937.

Kaynak Göster

APA
Koyuncu, S., Koyuncu, S., Akdoğan, H. İ., Kara, M., Güven, G., Barlak Keti, D., Sipahioğlu, H., Ertürk Zararsız, G., Koçyiğit, İ., & Tokgöz, B. (2022). A new cystatin C based model for predicting COVID-19- associated mortality. Archives of Current Medical Research, 3(2), 126-132. https://izlik.org/JA76HB42RL
AMA
1.Koyuncu S, Koyuncu S, Akdoğan Hİ, vd. A new cystatin C based model for predicting COVID-19- associated mortality. Arch Curr Med Res. 2022;3(2):126-132. https://izlik.org/JA76HB42RL
Chicago
Koyuncu, Sümeyra, Serhat Koyuncu, Halil İbrahim Akdoğan, vd. 2022. “A new cystatin C based model for predicting COVID-19- associated mortality”. Archives of Current Medical Research 3 (2): 126-32. https://izlik.org/JA76HB42RL.
EndNote
Koyuncu S, Koyuncu S, Akdoğan Hİ, Kara M, Güven G, Barlak Keti D, Sipahioğlu H, Ertürk Zararsız G, Koçyiğit İ, Tokgöz B (01 Mayıs 2022) A new cystatin C based model for predicting COVID-19- associated mortality. Archives of Current Medical Research 3 2 126–132.
IEEE
[1]S. Koyuncu vd., “A new cystatin C based model for predicting COVID-19- associated mortality”, Arch Curr Med Res, c. 3, sy 2, ss. 126–132, May. 2022, [çevrimiçi]. Erişim adresi: https://izlik.org/JA76HB42RL
ISNAD
Koyuncu, Sümeyra - Koyuncu, Serhat - Akdoğan, Halil İbrahim - Kara, Mehmet - Güven, Göksel - Barlak Keti, Didem - Sipahioğlu, Hilal - Ertürk Zararsız, Gözde - Koçyiğit, İsmail - Tokgöz, Bülent. “A new cystatin C based model for predicting COVID-19- associated mortality”. Archives of Current Medical Research 3/2 (01 Mayıs 2022): 126-132. https://izlik.org/JA76HB42RL.
JAMA
1.Koyuncu S, Koyuncu S, Akdoğan Hİ, Kara M, Güven G, Barlak Keti D, Sipahioğlu H, Ertürk Zararsız G, Koçyiğit İ, Tokgöz B. A new cystatin C based model for predicting COVID-19- associated mortality. Arch Curr Med Res. 2022;3:126–132.
MLA
Koyuncu, Sümeyra, vd. “A new cystatin C based model for predicting COVID-19- associated mortality”. Archives of Current Medical Research, c. 3, sy 2, Mayıs 2022, ss. 126-32, https://izlik.org/JA76HB42RL.
Vancouver
1.Sümeyra Koyuncu, Serhat Koyuncu, Halil İbrahim Akdoğan, Mehmet Kara, Göksel Güven, Didem Barlak Keti, Hilal Sipahioğlu, Gözde Ertürk Zararsız, İsmail Koçyiğit, Bülent Tokgöz. A new cystatin C based model for predicting COVID-19- associated mortality. Arch Curr Med Res [Internet]. 01 Mayıs 2022;3(2):126-32. Erişim adresi: https://izlik.org/JA76HB42RL