Research Article

Identification of the Factors Affecting the Time Interval Between the COVID-19 Diagnosis Date and Death Date in Sivas: A Retrospective Study

Volume: 7 Number: 3 December 30, 2022
TR EN

Identification of the Factors Affecting the Time Interval Between the COVID-19 Diagnosis Date and Death Date in Sivas: A Retrospective Study

Abstract

The aim of this study was to determine the presence of chronic disease and factors affecting the duration of death in deaths due to the Coronavirus disease 2019 (COVID-19). In this retrospective observational study, the files of 651 patients who were reported to have died due to COVID-19 in the intensive care unit of Sivas Numune Hospital between 11.03.2020 and 31.12.2020 were reviewed. The patients' age, gender, COVID-19 diagnosis date, death date, and chronic disease presence were examined. Of those who died, 601 (92.3%) were aged 60 and over, and 383 (58.8%) were male. 96.8% (630 people) of the deceased had at least one chronic disease. The most common chronic disease accompanying deaths was hypertension (HT) (82.6%). Comorbid chronic diseases had a higher incidence in deaths aged 60 years and over. Coronary artery disease (CAD) was more common in deaths in male and asthma in deaths in female. The median time interval between the COVID-19 diagnosis date and the death date was 10 days and did not differ by age groups, gender, or at least one chronic disease presence. Being female shortened the duration of death by 1.5 times, while having Alzheimer's disease shortened the duration of death by 4.9 times. To prevent deaths caused by COVID-19, it may be recommended to closely monitor patients with some characteristics (chronic disease, advanced age, and male gender) and to increase protection measures especially for these patients.

Keywords

References

  1. Asirvatham, E. S., Sarman, C. J., Saravanamurthy, S. P., Mahalingam, P., Maduraipandian, S., & Lakshmanan, J. (2021). Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India. Clinical Epidemiology and Global Health, 9, 275–279. https://doi.org/10.1016/j.cegh.2020.09.010
  2. Atkins, J. L., Masoli, J. A. H., Delgado, J., Pilling, L. C., Kuo, C.-L., Kuchel, G. A., & Melzer, D. (2020). Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort. The Journals of Gerontology: Series A, 75(11), 2224–2230. https://doi.org/10.1093/gerona/glaa183
  3. Beurnier, A., Jutant, E.-M., Jevnikar, M., Boucly, A., Pichon, J., Preda, M., Frank, M., Laurent, J., Richard, C., Monnet, X., Duranteau, J., Harrois, A., Chaumais, M.-C., Bellin, M.-F., Noël, N., Bulifon, S., Jaïs, X., Parent, F., Seferian, A., … Humbert, M. (2020). Characteristics and outcomes of asthmatic patients with COVID-19 pneumonia who require hospitalisation. European Respiratory Journal, 56, 2001875. https://doi.org/10.1183/13993003.01875-2020
  4. Biswas, M., Rahaman, S., Biswas, T. K., Haque, Z., & Ibrahim, B. (2021). Association of Sex, Age, and Comorbidities with Mortality in COVID-19 Patients: A Systematic Review and Meta-Analysis. Intervirology, 64(1), 36–47. https://doi.org/10.1159/000512592
  5. Cai, H. (2020). Sex difference and smoking predisposition in patients with COVID-19. The Lancet Respiratory Medicine, 8(4), e20. https://doi.org/10.1016/S2213-2600(20)30117-X
  6. Centers for Disease Control and Prevention. (2021). People with certain medical conditions. https://www.cdc.gov/coronavirus/2019-ncov/need-extra-precautions/people-with-medical-conditions.html. Accessed 26 June 2021
  7. Chhiba, K. D., Patel, G. B., Vu, T. H. T., Chen, M. M., Guo, A., Kudlaty, E., Mai, Q., Yeh, C., Muhammad, L. N., Harris, K. E., Bochner, B. S., Grammer, L. C., Greenberger, P. A., Kalhan, R., Kuang, F. L., Saltoun, C. A., Schleimer, R. P., Stevens, W. W., & Peters, A. T. (2020). Prevalence and characterization of asthma in hospitalized and nonhospitalized patients with COVID-19. Journal of Allergy and Clinical Immunology, 146(2), 307-314.e4. https://doi.org/10.1016/j.jaci.2020.06.010
  8. Espinosa, O. A., Zanetti, A. dos S., Antunes, E. F., Longhi, F. G., Matos, T. A. de, & Battaglini, P. F. (2020). Prevalence of comorbidities in patients and mortality cases affected by SARS-CoV2: a systematic review and meta-analysis. Revista Do Instituto de Medicina Tropical de São Paulo, 62, e43. https://doi.org/10.1590/s1678-9946202062043

Details

Primary Language

English

Subjects

Health Care Administration

Journal Section

Research Article

Publication Date

December 30, 2022

Submission Date

July 4, 2022

Acceptance Date

October 5, 2022

Published in Issue

Year 2022 Volume: 7 Number: 3

APA
Akova, İ., & Kılıç, E. (2022). Identification of the Factors Affecting the Time Interval Between the COVID-19 Diagnosis Date and Death Date in Sivas: A Retrospective Study. Instıtute of Health Sciences Journal, 7(3), 184-190. https://doi.org/10.51754/cusbed.1140639
AMA
1.Akova İ, Kılıç E. Identification of the Factors Affecting the Time Interval Between the COVID-19 Diagnosis Date and Death Date in Sivas: A Retrospective Study. J Cumhuriyet Univ Health Sci Inst. 2022;7(3):184-190. doi:10.51754/cusbed.1140639
Chicago
Akova, İrem, and Esma Kılıç. 2022. “Identification of the Factors Affecting the Time Interval Between the COVID-19 Diagnosis Date and Death Date in Sivas: A Retrospective Study”. Instıtute of Health Sciences Journal 7 (3): 184-90. https://doi.org/10.51754/cusbed.1140639.
EndNote
Akova İ, Kılıç E (December 1, 2022) Identification of the Factors Affecting the Time Interval Between the COVID-19 Diagnosis Date and Death Date in Sivas: A Retrospective Study. Instıtute of Health Sciences Journal 7 3 184–190.
IEEE
[1]İ. Akova and E. Kılıç, “Identification of the Factors Affecting the Time Interval Between the COVID-19 Diagnosis Date and Death Date in Sivas: A Retrospective Study”, J Cumhuriyet Univ Health Sci Inst, vol. 7, no. 3, pp. 184–190, Dec. 2022, doi: 10.51754/cusbed.1140639.
ISNAD
Akova, İrem - Kılıç, Esma. “Identification of the Factors Affecting the Time Interval Between the COVID-19 Diagnosis Date and Death Date in Sivas: A Retrospective Study”. Instıtute of Health Sciences Journal 7/3 (December 1, 2022): 184-190. https://doi.org/10.51754/cusbed.1140639.
JAMA
1.Akova İ, Kılıç E. Identification of the Factors Affecting the Time Interval Between the COVID-19 Diagnosis Date and Death Date in Sivas: A Retrospective Study. J Cumhuriyet Univ Health Sci Inst. 2022;7:184–190.
MLA
Akova, İrem, and Esma Kılıç. “Identification of the Factors Affecting the Time Interval Between the COVID-19 Diagnosis Date and Death Date in Sivas: A Retrospective Study”. Instıtute of Health Sciences Journal, vol. 7, no. 3, Dec. 2022, pp. 184-90, doi:10.51754/cusbed.1140639.
Vancouver
1.İrem Akova, Esma Kılıç. Identification of the Factors Affecting the Time Interval Between the COVID-19 Diagnosis Date and Death Date in Sivas: A Retrospective Study. J Cumhuriyet Univ Health Sci Inst. 2022 Dec. 1;7(3):184-90. doi:10.51754/cusbed.1140639

IMPORTANT NOTE: Please note that the name and website of our journal have recently changed. Authors who wish to submit new manuscripts must do so through our updated platform at https://dergipark.org.tr/en/pub/ejmhs

The Journal of Sivas Cumhuriyet University Institute of Health Sciences is an international, peer-reviewed scientific journal published by Sivas Cumhuriyet University, Institute of Health Sciences.