Dergiler / Turkish Journal of Public Health / 2023 / Cilt: 21 Sayı: 3

Investigation of all-cause mortality and associated factors in patients diagnosed with COVID-19: A Retrospective Cohort Study

Sayfa
336–348
Yayın Tarihi
2023-12-15
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Monitoring patients with long follow-up periods and determining the course of illness and cause of death are important for understanding the natural course of COVID-19.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Objective: This study aims to investigate the extent and associated factors of all-cause mortality in patients diagnosed with COVID-19 in a hospital for over a one-year follow-up period.
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Temel Bulgular & Veri:Methods: This retrospective cohort study was conducted on the patients who applied and tested positive for SARS-CoV-2 in the Dokuz Eylul University Hospital which is a large tertiary healthcare facility in Izmir, Turkey, between 19.03.2020 and 31.05.2021.
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Sonuç & Katkı:Monitoring patients with long follow-up periods and determining the course of illness and cause of death are important for understanding the natural course of COVID-19.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:2020 Verileri
⚙️Değişkenler:COVID-19 · mortality · Follow-Up Study

Abstract

Objective: This study aims to investigate the extent and associated factors of all-cause mortality in patients diagnosed with COVID-19 in a hospital for over a one-year follow-up period. Methods: This retrospective cohort study was conducted on the patients who applied and tested positive for SARS-CoV-2 in the Dokuz Eylul University Hospital which is a large tertiary healthcare facility in Izmir, Turkey, between 19.03.2020 and 31.05.2021. The study included 8955 adult patients with a positive SARS-CoV-2 PCR test. Kaplan-Meier survival analysis and Cox regression models were used to examine the relationships between demographic and clinical characteristics and mortality. Results: The cumulative all-cause mortality rate was 4.7% in COVID-19 patients. Patients over 80 years old had a significantly higher risk of death compared to those younger than 50 years old (aHR:22.3; 95% CI: 10.4-47.7). Current or ex-smokers had a higher risk of death compared to non-smokers (aHR: 1.6; 95% CI: 1.1-2.4). Patients without any complaints before diagnosis had a higher risk of death compared to those with three or more complaints (aHR: 1.7; 95% CI: 1.2-2.6). Patients hospitalized in the intensive care unit had a significantly higher risk of death compared to outpatients (aHR: 62.3; 95% CI: 37.6-101.9). Conclusions: In COVID-19 patients, the risk of all-cause mortality is higher in the elderly, smokers, individuals admitted to medical or intensive care services, and those with a decreasing number of pre-diagnostic complaints. Monitoring patients with long follow-up periods and determining the course of illness and cause of death are important for understanding the natural course of COVID-19.

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Bu Makaleye Atıf Yap

SÜNER, A. F., EMECEN, A. N., KESKİN, S., ŞİYVE, N., ŞENSOY, E. B., TURUNÇ, Ö., ÜNAL, B. (2023). Investigation of all-cause mortality and associated factors in patients diagnosed with COVID-19: A Retrospective Cohort Study. Turkish Journal of Public Health, Cilt: 21 Sayı: 3, 336–348. https://ajindex.com/articles/1022327

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Kaynakça (6)

  1. WHO. Coronavirus (COVID-19) Dashboard. Published October 8, 2023. Accessed October 8, 2022. https://covid19.who.int
  2. Natasha H, Egbert S, Annemarie TV. Conflict And Health. McGraw-Hill Education (UK); 2012.
  3. Karlinsky A, Kobak D. Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset. eLife. 2021;10:e69336. doi:10.7554/eLife.69336 Alharthy A, Aletreby W, Faqihi F, et al. Clinical characteristics and predictors of 28-day mortality in 352 critically ill patients with COVID-19: a retrospective study. J Epidemiol Glob Health. 2021;11(1):98. Wang S, Ma P, Zhang S, et al. Fasting blood glucose at admission is an independent predictor for 28-day mortality in patients with COVID-19 without previous diagnosis of diabetes: a multi-centre retrospective study. Diabetologia. 2020;63(10):2102-2111. Ioannidis JPA. Infection fatality rate of COVID-19 inferred from seroprevalence data. Bull World Health Organ. 2021;99(1):19-33F. doi:10.2471/BLT.20.265892 WHO. WHO Director-General’s opening remarks at the media briefing on COVID-19 - 3 March 2020. Published March 3, 2020. Accessed May 19, 2022. https://www.who.int/director-general/speeches/detail/who-director-general-s-openingremarks-at-the-media-briefing-on-covid-19---3-march-2020
  4. Verduri A, Short R, Carter B, et al. Comparison between first and second wave of COVID-19 outbreak in older people. The COPE multicentre European observational cohort study. Eur J Public Health. Published online August 23, 2022:ckac108. doi:10.1093/eurpub/ckac108 Ferguson N, Laydon D, Nedjati Gilani G, et al. Report 9: Impact of Non-Pharmaceutical Interventions (NPIs) to Reduce COVID19 Mortality and Healthcare Demand. Imperial College London; 2020. doi:10.25561/77482 Woorim K, Ji Min H, Kyung. Predictors of Mortality in Patients with COVID-19: A Systematic Review and Meta-analysis. 2020;30(3):169-176.
  5. Aldridge RW, Lewer D, Katikireddi SV, et al. Black, Asian and Minority Ethnic groups in England are at increased risk of death from COVID-19: indirect standardisation of NHS mortality data. Wellcome Open Res. 2020;5:88. doi:10.12688/wellcomeopenres.15922.2 Docherty AB, Harrison EM, Green CA, et al. Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study. BMJ. 2020;369:m1985. doi:10.1136/bmj.m1985
  6. Zuin M, Rigatelli G, Zuliani G, Rigatelli A, Mazza A, Roncon L. Arterial hypertension and risk of death in patie