Journals / Journal of Biotechnology and Strategic Health Research / 2026 / Cilt: 6 Sayı: 1

The relationship of laboratory parameters and rates with prognosis and mortality in COVID-19 infection

Laboratuvar parametreleri ve oranlarının COVID-19 enfeksiyonunda prognoz ve mortalite ile ilşkisi

Hasan Ergenç(Ayancık Government Hospital)0000-0003-0519-0264
Zeynep Ertürk(Ayancık Devlet Hastanesi)0000-0001-7598-4508
İbrahim Hakkı Tör(Ayancık Devlet Hastanesi)0000-0003-0246-3220
Songül Araç(Sağlık Bilimleri Üniversitesi, Diyarbakır Gazi Yaşargil Eğitim ve Araştırma Hastanesi)0000-0001-6830-3639
Mustafa Usanmaz(Gazi Devlet Hastanesi)0000-0002-5369-2560
Cengiz Karacaer(Sakarya Eğitim ve Araştırma Hastanesi)0000-0002-7164-4810
Gülsüm Kaya(Sakarya Eğitim ve Araştırma Hastanesi)0000-0003-2810-0153
Pages
23–33
Publication Date
2022-04-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: In this study, we demonstrated that hematological and biochemical markers may be utilized as an early prognostic indicator for patients identified with COVID-19.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective:In this study, to evaluate the clinical course and prognosis in COVID-19 patients, to evaluate the hematological and biochemical parameters at the time of admission to the hospital.
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Key Findings & Data:Methods:This retrospective study was performed in a multicenter study in April and October 2020.
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Conclusion & Impact:Conclusion: In this study, we demonstrated that hematological and biochemical markers may be utilized as an early prognostic indicator for patients identified with COVID-19.
🔬Design:Araştırma Makalesi
📍Scope:2020 Verileri
⚙️Variables:COVID-19 · Plateletkrit/Platelet · Platelet/Ortalama Trombosit Hacmi

Abstract

Objective:In this study, to evaluate the clinical course and prognosis in COVID-19 patients, to evaluate the hematological and biochemical parameters at the time of admission to the hospital. Methods:This retrospective study was performed in a multicenter study in April and October 2020. Demographic characteristics, clinical features, age, gender and length of stay of patients who exitus (EX) and were discharged due to COVID-19 were examined. Results:Of the patients (n:180) included in the study, 89 were female and 91 were male. There was a significant difference between the patients who were discharged from the hospital and died gender and complaints at the time of admission (p 0.05). While the length of stay, platelet (PLT), mean corpuscular volume (MCV), serum C-reactive protein (CRP), albumin, lymphocyte, monocyte, alanine aminotransferase, aspartate aminotransferase, lactate dehydrogenase (LDH), ferritin, international normalized ratio, procalcitonin (PCT), troponin, and white blood cell counts are all increased in EX. There is a statistically significant difference in red blood cell distribution width (RDW) between EX and discharge patients (p 0.05). While the RDW, monocyte/albumin, procalcitonin/albumin, CRP/albumin, LDH/albumin, and ürea/albumin ratios are increased in EX patients, the PCT/PLT and MPV/PLT ratios are increased in discharged patients. Conclusion: In this study, we demonstrated that hematological and biochemical markers may be utilized as an early prognostic indicator for patients identified with COVID-19.

Özet

Amaç: Bu çalışma amaç, COVID-19 hastalarında hastaneye başvuru anındaki hematolojik ve biyokimyasal parametreleri ile klinik seyir ve prognozu değerlendirmektir. Yöntem: Bu retrospektif çalışma, Nisan ve Ekim 2020'de çok merkezli çalışma olarak yapıldı. COVID-19 nedeniyle taburcu olan ve ölen (EX) hastaların demografik özellikleri, klinik özellikleri, yaşı, cinsiyeti ve kalış süreleri incelendi. Bulgular: Çalışmaya alınan hastaların (n:180) 89'u kadın, 91'i erkekti. Hastaneden taburcu olan ve ex olan hastalar arasında cinsiyet ve başvuru anındaki şikayetleri arasında anlamlı fark vardı (p 0.05). Kalış süresi, trombosit (PLT), ortalama korpüsküler hacim (MCV), serum C-reaktif protein (CRP), albümin, lenfosit, monosit, alanin aminotransferaz, aspartat aminotransferaz, laktat dehidrojenaz (LDH), ferritin, prokalsitonin (PCT), troponin ve beyaz kan hücresi sayılarının tümünün ex olan hastalarda arttığı gözlendi. EX ve taburcu olan hastalar arasında kırmızı kan hücresi dağılım genişliği (RDW), monosit/albümin oranları, prokalsitonin/albümin oranları, CRP/albümin oranları, LDH/albümin oranları, ve üre/albümin oranları arasında anlamlı fark vardı (p 0.05). EX olan hastalarında RDW, monosit/albümin, prokalsitonin/albümin, CRP/albümin, LDH/albümin ve üre/albümin oranları artarken, taburcu olan hastalarda PCT/PLT ve MPV/PLT oranları artmaktaydı. Sonuç: Çalışmada, COVID-19 ile hastaları için hematolojik ve biyokimyasal belirteçlerin erken prognostik gösterge olarak kullanılabileceğini gösterilmiştir.

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Cite This Article

Ergenç, H., Ertürk, Z., Tör, İ. H., Araç, S., Usanmaz, M., Karacaer, C., Kaya, G. (2022). The relationship of laboratory parameters and rates with prognosis and mortality in COVID-19 infection. Journal of Biotechnology and Strategic Health Research, Cilt: 6 Sayı: 1, 23–33. https://doi.org/10.34084/bshr.1038326

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References (21)

  1. Mackenzie JS, Smith DW. COVID-19: a novel zoonotic disease caused by a coronavirus from China: what we know and what we don't. Microbiol Aust. 2020 Mar 17:MA20013. doi: 10.1071/MA20013
  2. Oladejo BO, Adeboboye CF, Adebolu TT. Understanding the genetic determinant of severity in viral diseases: a case of SARS-Cov-2 infection. Egypt J Med Hum Genet. 2020;21(1):77. doi: 10.1186/s43042-020-00122-z.
  3. Driggin E, Madhavan MV, Bikdeli B. et al. Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic. J Am Coll Cardiol. 2020 May 12;75(18):2352-2371. doi: 10.1016/j.jacc.2020.03.031.
  4. Mehta P, McAuley DF, Brown M. et al. COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet. 2020 Mar 28;395(10229):1033-1034. doi: 10.1016/S0140-6736(20)30628-0.
  5. Guan WJ, Ni ZY, Hu Y. et al; China Medical Treatment Expert Group for Covid-19. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020 Apr 30;382(18):1708-1720. doi: 10.1056/NEJMoa2002032.
  6. Ruan Q, Yang K, Wang W. et al. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China. Intensive Care Med. 2020 May;46(5):846-848. doi: 10.1007/s00134-020-05991-x.
  7. Wang F, Nie J, Wang H et al. Characteristics of Peripheral Lymphocyte Subset Alteration in COVID-19 Pneumonia. J Infect Dis. 2020 May 11;221(11):1762-1769. doi: 10.1093/infdis/jiaa150.
  8. Sun S, Cai X, Wang H. et al. Abnormalities of peripheral blood system in patients with COVID-19 in Wenzhou, China. Clin Chim Acta. 2020 Aug;507:174-180. doi: 10.1016/j.cca.2020.04.024.
  9. Chen N, Zhou M, Dong X. et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020 Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7
  10. World Health Organization. (‎2020)‎. Clinical management of COVID-19: interim guidance, 27 May 2020. World Health Organization. https://apps.who.int/iris/handle/10665/332196.
  11. Zhang JJ, Dong X, Cao YY. et al. Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China. Allergy. 2020 Jul;75(7):1730-1741. doi: 10.1111/all.14238.
  12. Li Q, Guan X, Wu P. et al. Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia. The New England journal of medicine. 2020;382(13):1199-207.
  13. Jin JM, Bai P, He W. et al. Gender Differences in Patients With COVID-19: Focus on Severity and Mortality. Front Public Health. 2020 Apr 29;8:152. doi: 10.3389/fpubh.2020.00152.
  14. Lovato A, de Filippis C. Clinical Presentation of COVID-19: A Systematic Review Focusing on Upper Airway Symptoms. Ear Nose Throat J. 2020 Nov;99(9):569-576. doi: 10.1177/0145561320920762.
  15. Guan WJ, Ni ZY, Hu Y. et al. China Medical Treatment Expert Group for Covid-19. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020 Apr 30;382(18):1708-1720. doi: 10.1056/NEJMoa2002032.
  16. Rodríguez-Molinero A, Gálvez-Barrón C, Miñarro A. et al; COVID-19 Research Group of CSAPG. Association between COVID-19 prognosis and disease presentation, comorbidities and chronic treatment of hospitalized patients. 2020 Oct 15;15(10):e0239571. doi: 10.1371/journal.pone.0239571.
  17. Boëlle PY, Delory T, Maynadier X. et al. Trajectories of Hospitalization in COVID-19 Patients: An Observational Study in France. J Clin Med. 2020 Sep 29;9(10):3148. doi: 10.3390/jcm9103148.
  18. Soeters PB, Wolfe RR, Shenkin A. Hypoalbuminemia: Pathogenesis and Clinical Significance. JPEN J Parenter Enteral Nutr. 2019 Feb;43(2):181-193. doi: 10.1002/jpen.1451.
  19. Zhang ZL, Guo QQ, Tang JN. et al. Monocyte-to-albumin ratio as a novel predictor of long-term adverse outcomes in patients after percutaneous coronary intervention. Biosci Rep. 2021 Jul 30;41(7):BSR20210154. doi: 10.1042/BSR20210154.
  20. Luo X, Yang X, Li J. et al. The procalcitonin/albumin ratio as an early diagnostic predictor in discriminating urosepsis from patients with febrile urinary tract infection. Medicine (Baltimore). 2018 Jul;97(28):e11078. doi: 10.1097/MD.0000000000011078.
  21. Gemcioglu E, Davutoglu M, Catalbas R. et al. Predictive values of biochemical markers as early indicators for severe COVID-19 cases in admission. Future Virology. 2021;16(5):353-67. doi.org/10.2217/fvl-2020-0319