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

Year 2022, , 184 - 190, 30.12.2022
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.

References

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  • 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
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  • 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
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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, , 184 - 190, 30.12.2022
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.

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
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  • WHO. (2022b). WHO Coronavirus (COVID-19) Dashboard, Detailed Surveillance Data Dashboard. https://covid19.who.int/more-resources. Accessed 21 April 2022
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Details

Primary Language English
Subjects Health Care Administration
Journal Section Research Article
Authors

İrem Akova 0000-0002-2672-8863

Esma Kılıç 0000-0001-8503-4995

Publication Date December 30, 2022
Published in Issue Year 2022

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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