Yıl: 2021 Cilt: 46 Sayı: 2 Sayfa Aralığı: 157 - 166 Metin Dili: İngilizce DOI: 10.1515/tjb-2020-0359 İndeks Tarihi: 21-02-2022

The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19

Öz:
Objectives: It is vital to determine the intensive care unit (ICU) requirement at an early stage to reduce the mortality rate in COVID-19 patients. The aim of the study was to find reliable predictive markers to determine the ICU requirement. Methods: We retrospectively reviewed the clinical and laboratory records of 151 COVID-19 patients. The predictive abilities of biochemical parameters and computed tomog raphy (CT) score were evaluated to determine of ICU requirement. Results: The area under curve (AUC) values for procalci tonin, D-Dimer, C reactive protein (CRP), glucose, lactate dehydrogenase (LDH) and CT score were found higher than those for other parameters in the prediction of ICU requi rement. The negative predictive values of these markers were higher than their positive predictive values. CT score was found to be highly correlated with fibrinogen and CRP. The glucose levels [odd ratio (OR): 95% CI; 1.07, p-value: 0.014] and CT score [OR: 95% CI; 1.05, p-value: 0.022] were associated with ICU requirement in COVID-19 patients. Conclusions: CT score, procalcitonin, D-Dimer, CRP, glucose, and LDH are potential predictors to rule out ICU requirement on hospital admission. Fibrinogen and CRP can be used to follow up and predict lung damages in patients with COVID-19.
Anahtar Kelime:

COVID-19 hastalarinda laboratuvar parametreleri ve bilgisayarli tomografi skorunun yoğun bakim gereksiniminin belirlenmesinde kullanımı

Öz:
Amaç: COVID-19 hastalarında ölüm oranını azaltmak için yoğun bakım ünitesi (YBÜ) ihtiyacınının erken dönemde belirlenmesi hayati önem taşır. Çalışmanın amacı, YBÜ gereksinimini belirlemek için güvenilir belirteçler bulmaktı. Gereç ve Yöntem: 151 COVID-19 hastasının klinik ve laboratuvar kayıtlarını geriye dönük olarak inceledik. Biyokimyasal parametrelerin ve bilgisayarlı tomografi (BT) skorunun YBÜ ihtiyacının belirlemesindeki tahmin gücü değerlendirildi. Bulgular: Yoğun bakım ünitesi gereksiniminin öngö rülmesinde prokalsitonin, D-Dimer, C reaktif protein (CRP), glukoz, laktat dehidrojenaz (LDH) ve BT skoru için eğri altı alan (AUC) değerleri diğer parametrelere göre daha yüksek bulundu. Bu belirteçlerin negatif tahmin değerleri, pozitif tahmin değerlerinden daha yüksekti. BT skorunun fibri nojen ve CRP ile yüksek oranda korelasyonlu olduğu bulundu. Glikoz seviyeleri [odd ratio (OR): CI 95%; 1.07, p-değeri: 0.014] ve CT skoru [OR: CI 95%; 1.05, p değeri: 0.022] COVID-19 hastalarında YBÜ gereksinimi ile ilişkilendirildi. Sonuç: CT skoru, prokalsitonin, D-Dimer, CRP, glukoz ve LDH, hastaneye yatışta YBÜ gereksinimini dışlamak için potansiyel prediktörlerdir. Fibrinojen ve CRP, COVID-19 hastalarında akciğer hasarlarını takip etmek ve tahmin etmek için kullanılabilir.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
  • 1. Paules CI, Marston HD, Fauci AS. Coronavirus infections—more than just the common cold. J Am Med Assoc 2020;323:707.
  • 2. https://www.who.int/emergencies/diseases/novelcoronavirus-2019.
  • 3. Harapan H, Itoh N, Yufika A, Winardi W, Keam S, Te H, et al. Coronavirus disease 2019 (COVID-19): a literature review. J. Infect. Public Health 2020;13:667–73.
  • 4. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020;395:497–506.
  • 5. Zaim S, Chong JH, Sankaranarayanan V, Harky A. COVID-19 and multiorgan response. Curr Probl Cardiol 2020;45:100618.
  • 6. Baud D, Qi X, Nielsen-Saines K, Musso D, Pomar L, Favre G. Real estimates of mortality following COVID-19 infection. Lancet Infect Dis 2020;20:773.
  • 7. Baker T, Schell CO, Petersen DB, Sawe H, Khalid K, Mndolo S, et al. Essential care of critical illness must not be forgotten in the COVID-19 pandemic. Lancet 2020;395:1253–4.
  • 8. https://sbsgm.saglik.gov.tr/TR,66560/haftalik-rapor–weeklyreport.html.
  • 9. Xie J, Tong Z, Guan X, Du B, Qiu H, Slutsky AS. Critical care crisis and some recommendations during the COVID-19 epidemic in China. Intensive Care Med 2020;46:837–40.
  • 10. Phua J, Weng L, Ling L, Egi M, Lim C-M, Divatia JV, et al. Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recommendations. Lancet Respir. Med 2020;8: 506–17.
  • 11. Wynants L, Van Calster B, Collins GS, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. BMJ 2020:m1328. https://doi.org/10.1136/bmj.m1328.
  • 12. Wu R, Wang L, Kuo H-CD, Shannar A, Peter R, Chou PJ, et al. An update on current therapeutic drugs treating COVID-19. Curr. Pharmacol Rep. 2020:1–15.
  • 13. Bohn MK, Lippi G, Horvath A, Sethi S, Koch D, Ferrari M, et al. Molecular, serological, and biochemical diagnosis and monitoring of COVID-19: IFCC taskforce evaluation of the latest evidence. Clin Chem Lab Med 2020;58:1037–52.
  • 14. Mehrabi S, Fontana S, Mambrin F, Nguyen HQ, Righi E, Tacconelli E, et al. Pitfalls of computed tomography in the coronavirus 2019 (COVID-19) era: a new perspective on ground-glass opacities. Cureus 2020;12:e8151.
  • 15. https://hsgm.saglik.gov.tr/tr/yayinlarimiz/rehberler.html.
  • 16. Henry BM, de Oliveira MHS, Benoit S, Plebani M, Lippi G. Hematologic, biochemical and immune biomarker abnormalities associated with severe illness and mortality in coronavirus disease 2019 (COVID-19): a meta-analysis. Clin Chem Lab Med 2020;58:1021–8.
  • 17. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet 2020;395:507–13.
  • 18. Lippi G, Plebani M. Laboratory abnormalities in patients with COVID-2019 infection. Clin Chem Lab Med 2020;58:1131–4.
  • 19. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020;395:497–506.
  • 20. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 2020;395: 1054–62.
  • 21. Zhang J, Dong X, Cao Y, Yuan Y, Yang Y, Yan Y, et al. Clinical characteristics of 140 patients infected with SARS‐CoV‐2 in Wuhan, China. Allergy 2020;75:1730–41.
  • 22. Lippi G, South AM, Henry BM. Electrolyte imbalances in patients with severe coronavirus disease 2019 (COVID-19). Ann. Clin. Biochem. Int J Lab Med 2020;57:262–5.
  • 23. Cheng Y, Luo R, Wang K, Zhang M, Wang Z, Dong L, et al. Kidney disease is associated with in-hospital death of patients with COVID-19. Kidney Int 2020;97:829–38.
  • 24. Gulhar R, Ashraf MA, Jialal I. Physiology, acute phase reactants. StatPearls 2020.
  • 25. Bonetti G, Manelli F, Patroni A, Bettinardi A, Borrelli G, Fiordalisi G, et al. Laboratory predictors of death from coronavirus disease 2019 (COVID-19) in the area of Valcamonica, Italy. Clin Chem Lab Med;58:1100–5. https://doi. org/10.1515/cclm-2020-0459.
  • 26. Chee YJ, Ng SJH, Yeoh E. Diabetic ketoacidosis precipitated by Covid-19 in a patient with newly diagnosed diabetes mellitus. Diabetes Res Clin Pract 2020;164:108166.
  • 27. Li J, Wang X, Chen J, Zuo X, Zhang H, Deng A. COVID‐19 infection may cause ketosis and ketoacidosis. Diabetes Obes Metabol 2020;22:1935–41.
  • 28. Ren H, Yang Y, Wang F, Yan Y, Shi X, Dong K, et al. Association of the insulin resistance marker TyG index with the severity and mortality of COVID-19. Cardiovasc Diabetol 2020;19:58.
  • 29. Pu LJ, Shen Y, Lu L, Zhang RY, Zhang Q, Shen WF. Increased blood glycohemoglobin A1c levels lead to overestimation of arterial oxygen saturation by pulse oximetry in patients with type 2 diabetes. Cardiovasc Diabetol 2012;11:110.
  • 30. Li K, Chen D, Chen S, Feng Y, Chang C, Wang Z, et al. Predictors of fatality including radiographic findings in adults with COVID-19. Respir Res 2020;21:146.
  • 31. Francone M, Iafrate F, Masci GM, Coco S, Cilia F, Manganaro L, et al. Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis. Eur Radiol 2020;30:6808–17.
  • 32. Ye Z, Zhang Y, Wang Y, Huang Z, Song B. Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review. Eur Radiol 2020;30:4381–9.
  • 33. Yuan M, Yin W, Tao Z, Tan W, Hu Y. Association of radiologic findings with mortality of patients infected with 2019 novel coronavirus in Wuhan, China. PLoS One 2020;15:e0230548.
  • 34. Li K, Wu J, Wu F, Guo D, Chen L, Fang Z, et al. The clinical and chest CT features associated with severe and critical COVID-19 pneumonia. Invest Radiol 2020;55:327–31.
  • 35. Pan F, Ye T, Sun P, Gui S, Liang B, Li L, et al. Time course of lung changes at chest CT during recovery from coronavirus disease 2019 (COVID-19). Radiology 2020;295:715–21.
APA DOĞAN H, BOLAT S, BÜYÜKTUNA S, Sarıismailoğlu R, ÇETİNKAYA N, DOĞAN K, hasbek m, ÇAYLAK H (2021). The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19. , 157 - 166. 10.1515/tjb-2020-0359
Chicago DOĞAN Halef Okan,BOLAT Serkan,BÜYÜKTUNA Seyit Ali,Sarıismailoğlu Rağıp,ÇETİNKAYA NAZIM,DOĞAN Kübra,hasbek mürşit,ÇAYLAK HALİL The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19. (2021): 157 - 166. 10.1515/tjb-2020-0359
MLA DOĞAN Halef Okan,BOLAT Serkan,BÜYÜKTUNA Seyit Ali,Sarıismailoğlu Rağıp,ÇETİNKAYA NAZIM,DOĞAN Kübra,hasbek mürşit,ÇAYLAK HALİL The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19. , 2021, ss.157 - 166. 10.1515/tjb-2020-0359
AMA DOĞAN H,BOLAT S,BÜYÜKTUNA S,Sarıismailoğlu R,ÇETİNKAYA N,DOĞAN K,hasbek m,ÇAYLAK H The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19. . 2021; 157 - 166. 10.1515/tjb-2020-0359
Vancouver DOĞAN H,BOLAT S,BÜYÜKTUNA S,Sarıismailoğlu R,ÇETİNKAYA N,DOĞAN K,hasbek m,ÇAYLAK H The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19. . 2021; 157 - 166. 10.1515/tjb-2020-0359
IEEE DOĞAN H,BOLAT S,BÜYÜKTUNA S,Sarıismailoğlu R,ÇETİNKAYA N,DOĞAN K,hasbek m,ÇAYLAK H "The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19." , ss.157 - 166, 2021. 10.1515/tjb-2020-0359
ISNAD DOĞAN, Halef Okan vd. "The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19". (2021), 157-166. https://doi.org/10.1515/tjb-2020-0359
APA DOĞAN H, BOLAT S, BÜYÜKTUNA S, Sarıismailoğlu R, ÇETİNKAYA N, DOĞAN K, hasbek m, ÇAYLAK H (2021). The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19. Türk Biyokimya Dergisi, 46(2), 157 - 166. 10.1515/tjb-2020-0359
Chicago DOĞAN Halef Okan,BOLAT Serkan,BÜYÜKTUNA Seyit Ali,Sarıismailoğlu Rağıp,ÇETİNKAYA NAZIM,DOĞAN Kübra,hasbek mürşit,ÇAYLAK HALİL The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19. Türk Biyokimya Dergisi 46, no.2 (2021): 157 - 166. 10.1515/tjb-2020-0359
MLA DOĞAN Halef Okan,BOLAT Serkan,BÜYÜKTUNA Seyit Ali,Sarıismailoğlu Rağıp,ÇETİNKAYA NAZIM,DOĞAN Kübra,hasbek mürşit,ÇAYLAK HALİL The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19. Türk Biyokimya Dergisi, vol.46, no.2, 2021, ss.157 - 166. 10.1515/tjb-2020-0359
AMA DOĞAN H,BOLAT S,BÜYÜKTUNA S,Sarıismailoğlu R,ÇETİNKAYA N,DOĞAN K,hasbek m,ÇAYLAK H The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19. Türk Biyokimya Dergisi. 2021; 46(2): 157 - 166. 10.1515/tjb-2020-0359
Vancouver DOĞAN H,BOLAT S,BÜYÜKTUNA S,Sarıismailoğlu R,ÇETİNKAYA N,DOĞAN K,hasbek m,ÇAYLAK H The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19. Türk Biyokimya Dergisi. 2021; 46(2): 157 - 166. 10.1515/tjb-2020-0359
IEEE DOĞAN H,BOLAT S,BÜYÜKTUNA S,Sarıismailoğlu R,ÇETİNKAYA N,DOĞAN K,hasbek m,ÇAYLAK H "The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19." Türk Biyokimya Dergisi, 46, ss.157 - 166, 2021. 10.1515/tjb-2020-0359
ISNAD DOĞAN, Halef Okan vd. "The use of laboratory parameters and computed tomography score to determine intensive care unit requirement in COVID-19". Türk Biyokimya Dergisi 46/2 (2021), 157-166. https://doi.org/10.1515/tjb-2020-0359