Preview

Complex Issues of Cardiovascular Diseases

Advanced search

ASSESSMENT OF THE PROGNOSTIC SIGNIFICANCE OF LABORATORY PARAMETERS AS FACTORS OF LETHAL OUTCOME IN PATIENTS WITH A NEW CORONAVIRUS INFECTION

https://doi.org/10.17802/2306-1278-2025-14-2-168-177

Abstract

Highlights

The analysis of laboratory parameters capable of assessing the lethal outcome in patients with COVID-19 was carried out. After that, these parameters were ranked depending on the magnitude of the odds ratio.

 

Abstract

Aim. To assess the predictive value of laboratory parameters as factors of lethal outcome in patients with novel coronavirus infection (COVID-19).

Methods. The prospective study included 164 patients hospitalized in a monoinfection hospital in the period from November 3, 2020 to January 15, 2021. The diagnosis of COVID-19 was verified by PCR testing for the presence of SARS-CoV-2 RNA in nasopharyngeal and oropharyngeal specimens. Diagnosis, classification of pneumonia based on CT findings, disease severity according to the National Early Warning Score (NEWS), and treatment were conducted according to the “Temporary Guidelines. Prevention, diagnosis and treatment of a new coronavirus infection (COVID-19)”, version 9 (10/26/2020). The end of the study was the outcome of hospitalization: discharge or death. The main group consisted of 25 patients with a fatal outcome (Group 1), the 2nd group (n = 139) consisted of surviving patients.

Results. The mortality rate was 15.2%. 56% of the deceased were males, and 44% were females. The average age of the deceased was 72 years [68; 83], compared to 65 years [59,0; 70,5], р < 0,001 in the surviving group. 97.6% of patients were in clear consciousness, while 2.4% were in a state of stupor and soporific. Odds ratio (OR) analysis showed that predictors of fatal outcome in COVID-19 were elevated troponin concentration in blood (OR = 18,38 (95% confidence interval (CI) 6,503–51,97; p < 0,001), D-dimer level > 700 ng/mL (OR = 17,79; 95% CI 6,362–49,77; p < 0,001), procalcitonin (PCT) > 0.28 ng/mL (OR = 7,357; 95% CI 2,840–19,06; p < 0,001), and platelets < 180 × 109/L (OR = 4,76; 95% CI 2,00–11,1; p = 0,001). Monocytes ≥ 6.0% (OR = 0,205; 95% CI 0,067–0,627) were identified as a protective factor.

Conclusion. The most significant parameters for predicting prognosis in COVID-19 are troponin, D-dimer, PCT, and platelets. Monitoring these parameters will allow clinicians to identify patients at high risk of death early, requiring more active treatment measures.

About the Authors

Alla V. Svarovskaya
Cardiology Research Institute, branch of the Federal State Budgetary Scientific Institution “Tomsk National Research Medical Center of the Russian Academy of Sciences”
Russian Federation

PhD, Senior Researcher, Department of Myocardial Pathology, Cardiology Research Institute, branch of the Federal State Budgetary Scientific Institution “Tomsk National Research Medical Center of the Russian Academy of Sciences”, Tomsk, Russian Federation



Pavel A. Astanin
Federal State Autonomous Educational Institution of Higher Education «N.I. Pirogov Russian National Research Medical University» of the Ministry of Health of the Russian Federation; Federal State Budgetary Scientific Institution “Izmerov Research Institute of Occupational Health”
Russian Federation

Post-graduate student of the Department of Medical Cybernetics and Computer Science, Employee (data Analyst) of the Institute of Digital Transformation of Medicine of the Federal State Autonomous Educational Institution of Higher Education «N.I. Pirogov Russian National Research Medical University» of the Ministry of Health of the Russian Federation, Moscow, Russian Federation; Junior Researcher at the Laboratory of Complex Problems of Risk Assessment for Public and Working Health of the Federal State Budgetary Scientific Institution “Izmerov Research Institute of Occupational Health”, Moscow, Russian Federation



Artem D. Vende
Federal State Funded Educational Institution of Higher Education “Siberian State Medical University” of the Ministry of Health of the Russian Federation
Russian Federation

6th year student at the Faculty of Medicine of the Federal State Funded Educational Institution of Higher Education “Siberian State Medical University” of the Ministry of Health of the Russian Federation, Tomsk, Russian Federation



References

1. Prabhakaran D, Singh K, Kondal D, et al. Cardiovascular Risk Factors and Clinical Outcomes among Patients Hospitalized with COVID-19: Findings from the World Heart Federation COVID-19 Study. Global Heart. 2022;17(1):40. doi:10.5334/gh.1128.

2. Arutyunov GP, Tarlovskaya EI, Arutyunov AG, et al. International register “Dynamics analysis of comorbidities in SARS-CoV-2 survivors” (AKTIV SARS-CoV-2): analysis of predictors of short-term adverse outcomes in COVID-19. Russian Journal of Cardiology. 2021;26(4):4470. (In Russ.) doi:10.15829/1560-4071-2021-4470.

3. Parasher A. COVID-19: Current understanding of its Pathophysiology, Clinical presentation and Treatment. Postgrad Med J. 2021;97(1147):312–20. doi:10.1136/postgradmedj-2020-138577.

4. 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. The Lancet Respiratory Medicine. 2020;8(5):475–81. doi:10.1016/S2213-2600(20)30079-

5. Svarovskaya AV, Shabelsky AO, Levshin AV. Charlson comorbidity index in predicting deaths in COVID-19 patients. Russian Journal of Cardiology. 2022;27(3):4711. (In Russ.) doi:10.15829/1560-4071-2022-4711.

6. Barbarash OL, Karetnikova VN, Kashtalap VV, et al. New coronavirus disease (COVID-19) and cardiovascular disease. Complex Issues of Cardiovascular Diseases. 2020;9(2):17-28. (In Russ.) doi:10.17802/2306-1278-2020-9-2-17-28.

7. Bakhchoyan MR, Kosmacheva ED, Slavinsky AA. Neutrophil-lymphocyte ratio as a predictor of adverse in patients with heart failureof noncoronarogenic etiology. Klinicheskaya praktika. 2017;(3):48-53. (In Russ.). https://doi.org/10.17816/clinpract8348-53.

8. Luo X, Zhou W, Yan X, Guo T, Wang B, Xia H, Ye L, Xiong J, Jiang Z, Liu Y, et al. Prognostic Value of C Reactive Protein in Patients with Coronavirus 2019. 2020;71(16):2174-2179. doi: 10.1093/cid/ciaa641.

9. Tang N, Li D, Wang X, et al. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. J. Thromb. Haemost. 2020;18:844–847. doi:10.1111/jth.14768

10. Richardson S, Hirsch JS, Narasimhan M, et al. Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area. JAMA. 2020;323(20):2052–9. doi:10.1001/jama.2020.6775.

11. Teplyakov AT, Bolotskaya LA, Vdovina TV, et al. Clinical and immunomodulatory effects of polyoxidonium for the correction of secondary immunodeficiency in patients with coronary heart disease associated with type 2 diabetes. Immunology. 2008;29(1):44–51. (In Russ.)

12. 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;395:1054-1062. doi:10.1016/S0140-6736(20)30566-3.

13. Williamson EJ, Walker AJ, Bhaskaran K, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584(7821):430–6. doi:10.1038/s41586-020-2521-4.

14. Toraih EA, Elshazli RM, Hussein MH, et al. Association of cardiac biomarkers and comorbidities with increased mortality, severity, and cardiac injury in COVID-19 patients: A meta-regression and decision tree analysis. J Med Virol. 2020;92:2473-88. doi:10.1002/jmv.26166.

15. Shoar S, Hosseini F, Naderan M, et al. Meta-analysis of Cardiovascular Events and Related Biomarkers Comparing Survivors Versus Non-survivors in Patients With COVID-19. Am J Cardiol. 2020;135:50-61. doi:10.1016/j.amjcard.2020.08.044.

16. Knight DS, Kotecha T, Razvi Y, et al. COVID-19: Myocardial Injury in Survivors. Circulation. 2020;142:1120-2. doi:10.1161/CIRCULATIONAHA.120.049252.

17. Wu C, Chen X, Cai Y, et al. Risk factors associated with acute respiratory distress syndrome and death in patients with coronavirus disease 2019 pneumonia in Wuhan, China. JAMA Intern. Med. 2020;180(7):934-943. doi:10.1001/jamainternmed.2020.0994.

18. Mehta P, McAuley DF, Brown M, et al. COVID-19: consider cytokine storm syndromes and immunosuppression. HLH Across Speciality Collaboration. Lancet. 2020;395(10229):1033-1034. doi:10.1016/S0140-6736(20)30628-0.

19. Cosentino F, Moscatt V, Marino A, et al. Clinical characteristics and predictors of death among hospitalized patients infected with SARS-CoV-2 in Sicily, Italy: A retrospective observational study. Biomed Rep. 2022;16(5):34. doi:10.3892/br.2022.1517.

20. Luo X, Zhou W, Yan X, et al. Prognostic Value of C-Reactive Protein in Patients with Coronavirus 2019. Clin Infect Dis. 2020;71:2174-2179. doi:10.1093/cid/ciaa641.

21. Shah VK, Firmal P, Alam A, et al. Overview of immune response during SARS CoV 2 infection: Lessons from the past. Front Immunol. 2020;11:1949. doi:10.3389/fimmu.2020.01949.


Supplementary files

Review

For citations:


Svarovskaya A.V., Astanin P.A., Vende A.D. ASSESSMENT OF THE PROGNOSTIC SIGNIFICANCE OF LABORATORY PARAMETERS AS FACTORS OF LETHAL OUTCOME IN PATIENTS WITH A NEW CORONAVIRUS INFECTION. Complex Issues of Cardiovascular Diseases. 2025;14(2):168-177. (In Russ.) https://doi.org/10.17802/2306-1278-2025-14-2-168-177

Views: 145


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2306-1278 (Print)
ISSN 2587-9537 (Online)