Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Jun:127:104378.
doi: 10.1016/j.jcv.2020.104378. Epub 2020 Apr 21.

Epidemiological characteristics of coronavirus disease 2019 (COVID-19) patients in IRAN: A single center study

Affiliations

Epidemiological characteristics of coronavirus disease 2019 (COVID-19) patients in IRAN: A single center study

Mohamad Nikpouraghdam et al. J Clin Virol. 2020 Jun.

Abstract

Background: An outbreak of COVID-19 in Iran has spread throughout the country. Identifying the epidemiological characteristics of this disease will help to make appropriate decisions and thus control the epidemic. The aim of this study was characterization of the epidemiological features of COVID-19 in Iran.

Methods: In this retrospective study, data related to the epidemiological characteristics of COVID-19 patients admitted to Baqiyatallah Hospital in Tehran, Iran, from 19 February 2020 to 15 April 2020 have been analyzed and reported. Patient characteristics including age, gender and underlying diseases were investigated. Data were collected through patient records. Sex ratio, Case Fatality Rate (CFR) and daily trend of cases were also determined. A multiple logistic regression analysis was also performed to assess affecting factors on mortality.

Results: From February 19, 2020 to April 15, 2020, 12870 patients referred to the hospital emergency department, of which 2968 were hospitalized with COVID-19 diagnosis. The majority of cases were in the age group of 50 to 60 years of old. The male-to-female ratio was 1.93:1. A total of 239 deaths occurred among all cases for an overall CFR of 1.85% based on the total number of patients (both outpatient and inpatient) and 8.06% among hospitalized patients. Out of all patients 10.89% had comorbidity. Diabetes, chronic respiratory diseases, hypertension, cardiovascular diseases, chronic Kidney diseases and cancer were the most common comorbidities with 3.81, 2.02 , 1.99 , 1.25, 0.60 and 0.57 %, respectively. Male gender (OR=1.45, 95% CI: 1.08-1.96), older age (OR=1.05, 95% CI: 1.04-1.06) and having underlying diseases (OR=1.53, 95% CI: 1.04-2.24) were significantly associated with mortality.

Conclusions: The results of this study showed that Male gender, older age and having comorbidities were significantly associated with the risk of death among COVID-19 patients. It is important to pay special attention to male elderly patients with underlying diseases.

Keywords: COVID-19; Case Fatality Rate; Comorbidity; Epidemiology; IRAN; SARS-CoV-2.

PubMed Disclaimer

Conflict of interest statement

Declaration of Competing Interest The authors declare that there are no competing interests.

Figures

Fig. 1
Fig. 1
The distribution of all cases and deaths in each age group (n = 2964).
Fig. 2
Fig. 2
The distribution of comorbidities among all Covid-19 cases as well as cases that have died.
Fig. 3
Fig. 3
The distribution of Covid-19 patients according to date of Hospital admission (n = 2964).

References

    1. Zhu N., Zhang D., Wang W., Li X., Yang B., Song J. A novel coronavirus from patients with pneumonia in China, 2019. N. Engl. J. Med. 2020 - PMC - PubMed
    1. WHO . 2020. Naming the Coronavirus Disease (COVID-19) and the Virus That Causes It.
    1. Fehr A.R., Channappanavar R., Perlman S. Middle East respiratory syndrome: emergence of a pathogenic human coronavirus. Annu. Rev. Med. 2017;68:387–399. - PMC - PubMed
    1. WHO . 2020. novel-coronavirus-2019/events-as-they-happen.
    1. Alimohamadi Y., Taghdir M., Sepandi M. The estimate of the basic reproduction number for novel coronavirus disease (COVID-19): a systematic review and meta-analysis. J. Prev. Med. Public Health. 2020 - PMC - PubMed

MeSH terms