Research Article

Predictive Values of Inflammation Indexes in Predicting Mortality in Patients with COVID 19 Hospitalized in General Intensive Care Unit

Volume: 7 Number: 1 March 1, 2022
EN TR

Predictive Values of Inflammation Indexes in Predicting Mortality in Patients with COVID 19 Hospitalized in General Intensive Care Unit

Abstract

Objective: Causing a global pandemic, the coronavirus disease 2019 (COVID-19) has caused millions of people to become infected and many more to die. In this study we aimed to investigate whether routinely evaluated clinical and laboratory values ​​can predict the mortality of patients with COVID-19 disease.
Materials and Methods: In our study, routine laboratory parameters of 89 patients hospitalized in the general intensive care unit with the diagnosis of COVID 19 were retrospectively analyzed. The aggregate index of systemic inflammation (AISI) and other inflamatuar values were calculated from blood tests in patients with positive COVID-19 polymerase chain reaction test and with ground-glass opacity on lung tomography. Patients were divided into two groups as those who died (non-survivors) and those who were discharged (survivors) during the intensive care follow-ups.
Results: In our study, in 48 patients who died during follow-up, the indexes of AISI, other inflamatuar paramaters and the biochemical parameters such as troponin I, d-dimer, ferritin and procalcitonin were significantly higher than in discharged patients. Hypertension and higher AISI and ferritin levels were statistically associated with reduced survival in Cox regression analysis (Hazard ration (HR): 3.176; 95% Confident interval (CI): 1.122-8.991, p=0.03, HR: 1.114; 95% CI: 1.060-1.348, p=0.042, HR=1.072;95% CI: 1.014-1.242, p=0.011, respectively.
Conclusion: Inflammation indexes derived from blood tests and acute phase reactants such as ferritin can guide us in planning the treatment strategy and risk stratification in patients with COVID-19 in intensive care follow-ups. 

Keywords

References

  1. Güner B, Sivritepe R, Basat SU. The Relationship between Malnutrition Risk and Prognosis in Geriatric Patients Hospitalized for COVID19. Online Türk Sağlık Bilimleri Dergisi 2021;6(3):382-390. doi: 10.26453/otjhs.892552
  2. Wu Z, McGoogan JM. Characteristics of and ımportant lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: Summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 2020;323(13):1239-1242. doi: 10.1001/jama.2020.2648.
  3. He F, Deng Y, Li W. Coronavirus disease 2019: What we know? J Med Virol. 2020;92(7):719-725. doi: 10.1002/jmv.25766.
  4. Aksel G, Ademoğlu E, İslam MM, et al. Which COVID-19 patients should be recommended for home isolation and which should be hospitalized? Predictors of disease progression for mild COVID-19 patients. J Exp Clin Med 2021; 38(4): 490-495 doi: 10.52142/omujecm.38.4.17
  5. Rodriguez-Morales AJ, Cardona-Ospina JA. Gutiérrez-Ocampo E, et al. Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis. Travel Med Infect Dis. 2020;34:101623.doi: 10.1016/j.tmaid.2020.101623.
  6. Yang X, Yu Y, Xu J, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med. 2020;8(5):475-481. doi: 10.1016/S2213-2600(20)30079-5.
  7. Korkmaz C, Demirbas S, Vatansev H, et al. The Association of Neutrophil/Lymphocyte Ratio, Lymphocyte/Monocyte Ratio, Platelet/Lymphocyte Ratio and Hematological Parameters with Severity and Prognosis in Hospitalized Patients with COVID-19. Online Türk Sağlık Bilimleri Dergisi 2021;6(2):251-261. doi: 10.26453/otjhs.876015
  8. Peng J, Qi D, Yuan G, et al. Diagnostic value of peripheral hematologic markers for coronavirus disease 2019 (COVID-19): A multicenter, cross-sectional study. J Clin Lab Anal. 2020;34(10):e23475. doi: 10.1002/jcla.23475.

Details

Primary Language

English

Subjects

Health Care Administration

Journal Section

Research Article

Publication Date

March 1, 2022

Submission Date

August 18, 2021

Acceptance Date

December 22, 2021

Published in Issue

Year 2022 Volume: 7 Number: 1

APA
Aydın, C., Alpsoy, Ş., Yıldırım, İ., Gültekin, A., Arar, C., Engin, M., & Amaç, B. (2022). Predictive Values of Inflammation Indexes in Predicting Mortality in Patients with COVID 19 Hospitalized in General Intensive Care Unit. Online Turkish Journal of Health Sciences, 7(1), 32-39. https://doi.org/10.26453/otjhs.984345
AMA
1.Aydın C, Alpsoy Ş, Yıldırım İ, et al. Predictive Values of Inflammation Indexes in Predicting Mortality in Patients with COVID 19 Hospitalized in General Intensive Care Unit. OTJHS. 2022;7(1):32-39. doi:10.26453/otjhs.984345
Chicago
Aydın, Cihan, Şeref Alpsoy, İlker Yıldırım, et al. 2022. “Predictive Values of Inflammation Indexes in Predicting Mortality in Patients With COVID 19 Hospitalized in General Intensive Care Unit”. Online Turkish Journal of Health Sciences 7 (1): 32-39. https://doi.org/10.26453/otjhs.984345.
EndNote
Aydın C, Alpsoy Ş, Yıldırım İ, Gültekin A, Arar C, Engin M, Amaç B (March 1, 2022) Predictive Values of Inflammation Indexes in Predicting Mortality in Patients with COVID 19 Hospitalized in General Intensive Care Unit. Online Turkish Journal of Health Sciences 7 1 32–39.
IEEE
[1]C. Aydın et al., “Predictive Values of Inflammation Indexes in Predicting Mortality in Patients with COVID 19 Hospitalized in General Intensive Care Unit”, OTJHS, vol. 7, no. 1, pp. 32–39, Mar. 2022, doi: 10.26453/otjhs.984345.
ISNAD
Aydın, Cihan - Alpsoy, Şeref - Yıldırım, İlker - Gültekin, Ahmet - Arar, Cavidan - Engin, Mesut - Amaç, Bişar. “Predictive Values of Inflammation Indexes in Predicting Mortality in Patients With COVID 19 Hospitalized in General Intensive Care Unit”. Online Turkish Journal of Health Sciences 7/1 (March 1, 2022): 32-39. https://doi.org/10.26453/otjhs.984345.
JAMA
1.Aydın C, Alpsoy Ş, Yıldırım İ, Gültekin A, Arar C, Engin M, Amaç B. Predictive Values of Inflammation Indexes in Predicting Mortality in Patients with COVID 19 Hospitalized in General Intensive Care Unit. OTJHS. 2022;7:32–39.
MLA
Aydın, Cihan, et al. “Predictive Values of Inflammation Indexes in Predicting Mortality in Patients With COVID 19 Hospitalized in General Intensive Care Unit”. Online Turkish Journal of Health Sciences, vol. 7, no. 1, Mar. 2022, pp. 32-39, doi:10.26453/otjhs.984345.
Vancouver
1.Cihan Aydın, Şeref Alpsoy, İlker Yıldırım, Ahmet Gültekin, Cavidan Arar, Mesut Engin, Bişar Amaç. Predictive Values of Inflammation Indexes in Predicting Mortality in Patients with COVID 19 Hospitalized in General Intensive Care Unit. OTJHS. 2022 Mar. 1;7(1):32-9. doi:10.26453/otjhs.984345

Cited By

Creative Commons License
 

Online Türk Sağlık Bilimleri Dergisi [Online Turkish Journal of Health Sciences (OTJHS)] is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

This is an open-access journal distributed under the terms of the Creative Commons Attribution License (CC BY-NC 4.0). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or name of the journal is credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Click here to get help about article submission processes and "Copyright Transfer Form".