Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Association of Underlying Diseases and Clinical Characteristics With Mortality in Patients With 2019 Novel Coronavirus in Iran Publisher



Zamanian M1 ; Foroozanfar Z2 ; Izadi Z3 ; Jafari S3 ; Derakhshankhah H3 ; Salimi M1 ; Janbakhsh A1 ; Sayad B1 ; Shirvani M1 ; Jasemi SV1 ; Mansouri F1 ; Afsharian M1 ; Mohseniafshar Z1 ; Miladi R1 Show All Authors
Authors
  1. Zamanian M1
  2. Foroozanfar Z2
  3. Izadi Z3
  4. Jafari S3
  5. Derakhshankhah H3
  6. Salimi M1
  7. Janbakhsh A1
  8. Sayad B1
  9. Shirvani M1
  10. Jasemi SV1
  11. Mansouri F1
  12. Afsharian M1
  13. Mohseniafshar Z1
  14. Miladi R1
  15. Vaziri S1
Show Affiliations
Authors Affiliations
  1. 1. Infectious Diseases Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
  2. 2. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Pharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran

Source: Archives of Clinical Infectious Diseases Published:2020


Abstract

Objectives: The first case of 2019 novel coronavirus disease (COVID-19) was reported in Iran in February 2020. Here, we report the epidemiological and clinical characteristics of patients with COVID-19 and factors associated with mortality in these patients. Methods: A retrospective cohort study was conducted from February 22, 2020, to March 24, 2020, in Golestan Hospital in Kerman-shah, Iran. Demographic data including underlying diseases and clinical data including the presenting symptoms, chest computed tomography (CT) scan, reverse transcription polymerase chain reaction (RT-PCR) test results, and outcomes were extracted from electronic medical records. Simple and multiple logistic regression methods were used to explore the factors associated with mor-tality. Results: Of 245 patients admitted with COVID-19, 155 (63.30%) were male. The mean age of the subjects was 54.68 ± 19.21. Forty-five (18.48%) patients had underlying diseases. Common symptoms were dyspnea (n = 137; 55.9%), cough (n = 93; 38.0%), and fever (n = 78; 31.8%). All patients had pneumonia with abnormal findings on chest CT scan (100%), and RT-PCR test results were positive in 87 (35.50%) patients. Of the total admitted cases, 38 (15.5%) patients died during hospitalization. An old age (OR = 1.09; 95% CI: 1.02 to 1.06), history of heart disease (OR = 5.07; 95% CI: 1.46 to 17.58), hypertension (OR = 5.82; 95% CI: 1.13 to 30.04), smoking (OR = 11.44; 95% CI: 1.01 to 29.53), history of at least one underlying disease (OR = 3.31; 95%CI: 1.54 to 7.09), and symptoms of decreased consciousness at the time of admission (OR = 24.23; 95% CI: 2.62 to 223.39) were associated with mortality. Also, the symptoms of cough (OR = 0.383; 95% CI: 0.17 to 0.88) and fever (OR = 0.278; 95% CI: 0.10 to 0.74) had a negative association with mortality. Conclusions: In the current study, factors including old age, smoking, symptoms of decreased consciousness, and underlying diseases such as heart disease, hypertension, and history of at least one underlying disease were associated with mortality. Factors associated with mortality should be considered so that we can better manage patients with COVID-19. © 2020, Author(s).
Other Related Docs
12. Clinical Manifestations of Covid-19, Advances in Experimental Medicine and Biology (2021)
20. The Role of Medical Imaging in Covid-19, Advances in Experimental Medicine and Biology (2021)
25. Covid-19: Features, Clinical Course and Concerns, Journal of Cellular and Molecular Anesthesia (2020)
31. Analyzing Trends in Demographic, Laboratory, Imaging, and Clinical Outcomes of Icu-Hospitalized Covid-19 Patients, Canadian Journal of Infectious Diseases and Medical Microbiology (2023)
34. An Overview of 2019 Novel Coronavirus Covid-19 Pandemic: A Review Study, Journal of Education and Health Promotion (2021)
35. Findings of Serial Computed Tomography Imaging in Patients With Coronavirus Disease-19, Open Access Macedonian Journal of Medical Sciences (2020)