Analysis of the prognostic quality of mortality predictors in patients with COVID-19 and comorbid background: a retrospective study

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

Objective: Analysis of the impact of diabetes mellitus on the course and outcome of COVID-19 in a sample of hospitalized patients with the identification of key factors that worsen the prognosis of the disease.

Material and methods: A retrospective study of 645 medical records of patients with confirmed COVID-19 was conducted. Participants were grouped based on the outcome of hospitalization (fatal outcome/recovery) and the presence of type 2 diabetes mellitus. Clinical and anamnestic data, a number of laboratory and instrumental indicators, and hospitalization outcomes were assessed. ROC analysis was performed to assess the prognostic quality of the indicators.

Results: Age and gender turned out to be important factors influencing mortality: patients with a fatal outcome were significantly older (p<0.001), and men died more often (40% of cases, p<0.001). The expected relationship between the increase in blood glucose levels and worsening outcomes was also revealed: according to the results of the ROC analysis, an unfavorable outcome was predicted at a venous blood glucose level of more than 7.1 mmol / l. Patients with diabetes mellitus were often found to have comorbid conditions, such as arterial hypertension (82.2%) and coronary artery disease (20%), which worsened the prognosis. The mortality rate of patients with severe comorbid status was 2 times higher compared to patients with only one concomitant pathology.

Conclusion: The results of the analysis confirmed the need for a comprehensive approach to the management of patients with COVID-19 in the group of patients with severe comorbid status. In order to improve the prognosis for COVID-19 infection in patients with type 2 diabetes mellitus, strict monitoring and compensation of all comorbidities should be carried out, and the patient’s age and gender should be taken into account when choosing a treatment strategy.

Full Text

Restricted Access

About the authors

Liana S. Aramisova

Kabardino-Balkarian State University named after Kh.M. Berbekov

Author for correspondence.
Email: liaramisova@gmail.com
ORCID iD: 0000-0001-8105-4235
SPIN-code: 8233-5939

graduate student of 2 years of study, Department of Faculty Therapy, Medical Academy

Russian Federation, Nalchik

Inessa B. Zhurtova

Kabardino-Balkarian State University named after Kh.M. Berbekov

Email: liaramisova@gmail.com
ORCID iD: 0000-0003-0668-1073

Dr. Sci. (Med.), Professor of the Department of Faculty Therapy of the Medical Academy, Department of Faculty Therapy, Medical Academy, 

Russian Federation, Nalchik

Elina Z. Khachmakhova

Kabardino-Balkarian State University named after Kh.M. Berbekov

Email: liaramisova@gmail.com
ORCID iD: 0009-0006-6537-3969

student of the Medical Academy, Department of Faculty Therapy, Medical Academy, 

Russian Federation, Nalchik

References

  1. Singh A.K., Gillies C.L., Singh R., et al. Prevalence of comorbidities and their association with mortality in patients with COVID-19: a systematic review and meta-analysis. Diabetes Obes Metab. 2020;22(10):1915–1924. doi: 10.1111/dom.14124.
  2. Shafiee A., Teymouri Athar M.M., Nassar M., et al. Comparison of COVID-19 outcomes in patients with type 1 and type 2 diabetes: a systematic review and meta-analysis. Diabetes Metab Syndr. 2022;16(6):102512. doi: 10.1016/j.dsx.2022.102512.
  3. Singh A.K., Khunti K. COVID-19 and diabetes. Ann Rev Med. 2022;73:129–147. doi: 10.1146/annurev-med-042220-011857.
  4. Ma R.C.W., Holt R.I.G. COVID-19 and diabetes. Diabet Med. 2020;37:723–725. doi: 10.1111/dme.14300.
  5. Cariou B., Hadjadj S., Wargny M., et al. Phenotypic characteristics and prognosis of inpatients with COVID19 and diabetes: the CORONADO study. Diabetologia. 2020;63:1500–1515. doi: 10.1007/s00125-020-05180-x.
  6. Арамисова Л.С., Журтова И.Б., Губачикова А.М. Сахарный диабет и новая коронавирусная инфекция: взгляд в прошлое, выводы на будущее по профилактике и лечебной тактике. Фарматека. 2023;30(12):27–31. [Aramisova L.S., Zhurtova I.B., Gubachikova A.M. Diabetes mellitus and new coronavirus infection: a look into the past, conclusions on prevention and treatment tactics for the future. Ffrmateka. 2023;30(12):27–31. (In Russ.)]. doi: 10.18565/pharmateca.2023.12.27-31.
  7. Apicella M., Campopiano M.C., Mantuano M, et al. COVID-19 in people with diabetes: understanding the reasons for worse outcomes. Lancet Diabetes Endocrinol. 2020;8:782–792. doi: 10.1016/S2213-8587(20)30238-2.
  8. Guo W., Li M., Dong Y., et al. Diabetes is a risk factor for the progression and prognosis of COVID-19. Diabetes Metab Res Rev. 2020:e3319 doi: 10.1002/dmrr.3319.
  9. Vazzana N., Ranalli P., Cuccurullo C., Davi G. Diabetes mellitus and thrombosis. Res. 2012;129:371–377. doi: 10.1016/j.thromres.2011.11.052.
  10. Wang C., Zhang H., Zhou M., et al. Prognosis of COVID-19 in patients with vein thrombosis: a systematic review and meta-analysis. Eur Rev Med Pharmacol Sci. 2020;24:10279–10285. doi: 10.26355/eurrev_202010_23252.

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Figure 1. ROC curves for mortality-related indicators

Download (111KB)
3. Figure 2. Distribution of patients by obesity level depending on the presence or absence of T2DM

Download (69KB)

Copyright (c) 2025 Bionika Media