Change of critical COVID-19 disease in time

Abstract views: 144 / PDF downloads: 80


  • Ufuk DEMİR
  • Veysel Garani SOYLU Departmant of İntensive Care Unit, Kastamonu University Medicine Faculty
  • Öztürk TAŞKIN Department Of Anestehesiology And Reanimation, Kastamonu University Medicine Faculty,
  • Ayşe YILMAZ Department Of Anestehesiology And Reanimation, Kastamonu Training And Research Hospital



Covid – 19,, Intensive Care Unit, Pandemic, Critical Patient


Background:: COVID-19 disease, which has taken over the world for more than a year, is unfortunately not yet understood and a definitive treatment has not been found. The aim of this study is to investigate the changes in clinical and laboratory tests of critical COVID-19 patients followed in the intensive care unit between March/2020 and December/2020 and to evaluate the factors that cause these changes with literature information.

Materıal and Method: In the study, during the beginning of the pandemic and its progress; 50 COVID-19 patients treated in the intensive care unit between March-April-May/2020 were defined as group 1, and 50 COVID-19 patients treated in the intensive care unit between October-November-December/2020 were defined as group 2.Clinical, laboratory and intensive care processes of the patients in the groups were analyzed retrospectively and compared.

Results:Demographic data were similar between groups. Group 2 patients had higher 28-day mortality, and this result was statistically significant (p = 0.006). Transfer rates of group 1 patients to the service after intensive care were found to be statistically higher (p = 0.029).

Conclusıons:28-day mortality was found to be different between similar patient groups who were admitted to intensive care during different periods of the pandemic. The reasons for this may be: changes in pathogenicity as a result of viral mutations, different immune responses of hosts to viral infection, intensive care experience of healthcare professionals.


Chan JF, Yuan S, Kok KH, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet 2020; 395: 514–23.

Coronaviridae Study Group of the International Committee on Taxonomy of Viruses. The species severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nat Microbiol 2020; 5: 536-44.

Organization W.H. Coronavirus disease 2019 (COVID-19): situation report, 93 2020. Available at: Accessed: February 15, 2021.

Zhou F, Yu T, Du R, 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.

Varga Z, Flammer AJ, Steiger P, et al. Endothelial cell infection and endotheliitis in COVID-19. Lancet 2020; 395: 1417-8.

Sarkar C, Mondal M, Torequl Islam M, et al. Potential therapeutic options for COVID-19: current status, challenges, and future perspectives. Front Pharmacol 2020; 11: 572870.

Monreal E, Sainz de la Maza S, Natera-Villalba E, et al. COVID-HRC group. High versus standard doses of corticosteroids in severe COVID-19: a retrospective cohort study. Eur J Clin Microbiol Infect Dis 2020: 1–9.

COVID-19 Treatment Guidelines Panel. Coronavirus disease 2019 (COVID-19) Treatment Guidelines. National Institutes of Health.

Available at: Accessed: January 22, 2021.

COVID-19 Erişkin Hasta Yönetimi- TC Sağlık Bakanlığı Available at: https: //

Jourdes A, Lafaurie M, Martin-Blondel G, et al. Clinical characteristics and outcome of hospitalized patients with SARS-CoV-2 infection at Toulouse University hospital (France). Results from the COVID-clinic-Toul cohort. Rev Med Interne 2020; 41: 732-40.

Grasselli G, Zangrillo A, Zanella A, et al. COVID-19 Lombardy ICU Network. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy Region, Italy. JAMA 2020; 323: 1574-81.

Wang L, Lv Q, Zhang X, et al. The utility of MEWS for predicting the mortality in the elderly adults with COVID-19: a retrospective cohort study with comparison to other predictive clinical scores. PeerJ 2020; 8: e10018.

Vassiliou AG, Jahaj E, Ilias I, et al. Lactate kinetics reflect organ dysfunction and are associated with adverse outcomes in intensive care unit patients with COVID-19 pneumonia: preliminary results from a GREEK single centre study. Metabolites 2020; 10: 386.

Mudatsir M, Fajar JK, Wulandari L, et al. Predictors of COVID-19 severity: a systematic review and meta-analysis. F1000Res 2020; 9: 1107.

Poggiali E, Zaino D, Immovilli P, et al. Lactate dehydrogenase and C-reactive protein as predictors of respiratory failure in COVID-19

patients. Clin Chim Acta 2020; 509: 135-8.

Asakura H, Ogawa H. COVID-19-associated coagulopathy and disseminated intravascular coagulation. Int J Hematol 2020 Nov 7; 1-13.

COVID-19 Salgın Yönetimi Ve Çalışma Rehberi - TC Sağlık Bakanlığı Available at: https: // Accessed: February 22, 2021.

Smith, EC, Denison, MR. Coronaviruses as DNA wannabes: a new model for the regulation of RNA virus replication fidelity. PLOS Pathog 2013; 9:e1003760.

Vankadari N. Overwhelming mutations or SNPs of SARS-CoV-2: A point of caution. Gene 2020; 752: 144792.

Huntington KE, Louie AD, Lee CG, Elias JA, Ross EA, El-Deiry WS. Cytokine ranking via mutual information algorithm correlates cytokine profiles with presenting disease severity in patients with COVID-19. Preprint. medRxiv. 2020; 2020.11.24.20235721.




How to Cite

DEMİR, U., SOYLU, V. G., TAŞKIN, Öztürk, & YILMAZ, A. (2022). Change of critical COVID-19 disease in time. Kastamonu Medical Journal, 2(2), 35–38.

Most read articles by the same author(s)