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

İrem Akova; Esma Kılıç

doi:10.51754/cusbed.1140639

Research Article

Sivas'ta COVID-19 Tanı Tarihi ile Ölüm Tarihi Arasındaki Zaman Aralığını Etkileyen Faktörlerin Belirlenmesi: Retrospektif Bir Çalışma

Year 2022, Volume: 7 Issue: 3, 184 - 190, 30.12.2022

İrem Akova , Esma Kılıç

https://doi.org/10.51754/cusbed.1140639

Abstract

Bu çalışmanın amacı, Koronavirüs hastalığı 2019 (COVID-19) kaynaklı ölümlerde kronik hastalık varlığını ve ölüm süresini etkileyen faktörleri belirlemektir. Bu retrospektif gözlemsel çalışmada, 11.03.2020 ile 31.12.2020 tarihleri arasında Sivas Numune Hastanesi yoğun bakım ünitesinde COVID-19 nedeniyle yaşamını yitirdiği bildirilen 651 hastanın dosyaları incelendi. Hastaların yaşı, cinsiyeti, COVID-19 tanı tarihi, ölüm tarihi ve kronik hastalık varlığı incelendi. Ölenlerin 601'i (%92,3) 60 yaş ve üzeri, 383'ü (%58,8) erkekti. Ölenlerin %96,8'i (630 kişi) en az bir kronik hastalığa sahipti. Ölümlere en sık eşlik eden kronik hastalık hipertansiyon (HT) (%82,6) idi. Altmış yaş ve üzeri ölümlerde komorbid kronik hastalıkların görülme sıklığı daha yüksekti. Erkeklerdeki ölümlerde koroner arter hastalığı (KAH), kadınlardaki ölümlerde astım daha sıktı. COVID-19 tanı tarihi ile ölüm tarihi arasındaki medyan zaman aralığı 10 gündü ve yaş grupları, cinsiyet veya en az bir kronik hastalık varlığına göre farklılık göstermedi. Kadın olmak ölüm süresini 1,5 kat, Alzheimer hastası olmak ölüm süresini 4,9 kat kısalttı. COVID-19 kaynaklı ölümleri önlemek için bazı özellikleri (kronik hastalık, ileri yaş ve erkek cinsiyet) olan hastaların yakından izlenmesi ve özellikle bu hastalara yönelik korunma önlemlerinin artırılması önerilebilir.

Keywords

COVID-19, Ölüm, Cinsiyet, Kronik hastalık

References

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

Year 2022, Volume: 7 Issue: 3, 184 - 190, 30.12.2022

İrem Akova , Esma Kılıç

https://doi.org/10.51754/cusbed.1140639

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

COVID-19, Death, Gender, Chronic Disease

References

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
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
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
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
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
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
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
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
Fernando, M., Agusti, A., Dharmage, S., & Lodge, C. (2021). Are women with asthma at increased risk for severe COVID-19? The Lancet Respiratory Medicine, 9(2), 125–126. https://doi.org/10.1016/S2213-2600(21)00007-2
Grasselli, G., Greco, M., Zanella, A., Albano, G., Antonelli, M., Bellani, G., Bonanomi, E., Cabrini, L., Carlesso, E., Castelli, G., Cattaneo, S., Cereda, D., Colombo, S., Coluccello, A., Crescini, G., Forastieri Molinari, A., Foti, G., Fumagalli, R., Iotti, G. A., … Cecconi, M. (2020). Risk Factors Associated With Mortality Among Patients With COVID-19 in Intensive Care Units in Lombardy, Italy. JAMA Internal Medicine, 180(10), 1345-1355. https://doi.org/10.1001/jamainternmed.2020.3539
Guan, W., Liang, W., Zhao, Y., Liang, H., Chen, Z., Li, Y., Liu, X., Chen, R., Tang, C., Wang, T., Ou, C., Li, L., Chen, P., Sang, L., Wang, W., Li, J., Li, C., Ou, L., Cheng, B., … He, J. (2020). Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis. European Respiratory Journal, 55(5), 2000547. https://doi.org/10.1183/13993003.00547-2020
Khan, M. M. A., Khan, M. N., Mustagir, M. G., Rana, J., Islam, M. S., & Kabir, M. I. (2020). Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis. Journal of Global Health, 10(2), 020503. https://doi.org/10.7189/jogh.10.020503
Korean Society of Infectious Diseases and Korea Centers for Disease Control and Prevention. (2020). Analysis on 54 Mortality Cases of Coronavirus Disease 2019 in the Republic of Korea from January 19 to March 10, 2020. Journal of Korean Medical Science, 35(12), e132. https://doi.org/10.3346/jkms.2020.35.e132
Lovinsky-Desir, S., Deshpande, D. R., De, A., Murray, L., Stingone, J. A., Chan, A., Patel, N., Rai, N., DiMango, E., Milner, J., & Kattan, M. (2020). Asthma among hospitalized patients with COVID-19 and related outcomes. Journal of Allergy and Clinical Immunology, 146(5), 1027-1034.e4. https://doi.org/10.1016/j.jaci.2020.07.026
Mantovani, A., Byrne, C. D., Zheng, M.-H., & Targher, G. (2020). Diabetes as a risk factor for greater COVID-19 severity and in-hospital death: A meta-analysis of observational studies. Nutrition, Metabolism and Cardiovascular Diseases, 30(8), 1236–1248. https://doi.org/10.1016/j.numecd.2020.05.014
Noor, F. M., & Islam, M. M. (2020). Prevalence and Associated Risk Factors of Mortality Among COVID-19 Patients: A Meta-Analysis. Journal of Community Health, 45(6), 1270–1282. https://doi.org/10.1007/s10900-020-00920-x
Pachiega, J., Afonso, A. J. dos S., Sinhorin, G. T., Alencar, B. T. de, Araújo, M. dos S. M. de, Longhi, F. G., Zanetti, A. dos S., & Espinosa, O. A. (2020). Chronic heart diseases as the most prevalent comorbidities among deaths by COVID-19 in Brazil. Revista Do Instituto de Medicina Tropical de São Paulo, 62, e45. https://doi.org/10.1590/s1678-9946202062045
The Covid-19 sex-disaggregated data tracker. (2020). December update report (December 2020). https://globalhealth5050.org/wp-content/uploads/December-2020-The-COVID-19-Sex-Disaggregated-Data-Tracker-Update.pdf. Accessed 20 June 2021
Traish, A. M. (2021). Sex steroids and COVID-19 mortality in women. Trends in Endocrinology & Metabolism, 32(8), 533–536. https://doi.org/10.1016/j.tem.2021.04.006
Upadhyaya, A., Koirala, S., Ressler, R., & Upadhyaya, K. (2022). Factors affecting COVID-19 mortality: an exploratory study. Journal of Health Research, 36(1), 166–175. https://doi.org/10.1108/JHR-09-2020-0448
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., Zhao, Y., Li, Y., Wang, X., & Peng, Z. (2020). Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus–Infected Pneumonia in Wuhan, China. JAMA, 323(11), 1061. https://doi.org/10.1001/jama.2020.1585
WHO. (n.d.). WHO Coronavirus (COVID-19) Dashboard. https://covid19.who.int/ Accessed 19 May 2021
WHO. (2020). Gender and COVID-19: advocacy brief. file:///C:/Users/İREM/Downloads/WHO-2019-nCoV-Advocacy_brief-Gender-2020.1-eng.pdf. Accessed 15 May 2022
WHO. (2022a). Turkey Situation. https://covid19.who.int/region/euro/country/tr. Accessed 15 May 2022
WHO. (2022b). WHO Coronavirus (COVID-19) Dashboard, Detailed Surveillance Data Dashboard. https://covid19.who.int/more-resources. Accessed 21 April 2022
WHO. (2022c). Weekly Operational Update on COVID-19, 30 March 2022. file:///C:/Users/İREM/Downloads/20220330_WOU_97 (3).pdf. Accessed 10 May 2022
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Yang, J., Zheng, Y., Gou, X., Pu, K., Chen, Z., Guo, Q., Ji, R., Wang, H., Wang, Y., & Zhou, Y. (2020). Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. International Journal of Infectious Diseases, 94, 91–95. https://doi.org/10.1016/j.ijid.2020.03.017

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Primary Language	English
Subjects	Health Care Administration
Journal Section	Research Article
Authors	İrem Akova 0000-0002-2672-8863 Esma Kılıç 0000-0001-8503-4995
Early Pub Date	December 22, 2022
Publication Date	December 30, 2022
Published in Issue	Year 2022Volume: 7 Issue: 3

Cite

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. Cumhuriyet Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi, 7(3), 184-190. https://doi.org/10.51754/cusbed.1140639

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