Volume 11, Issue 1 (7-2023)                   Jorjani Biomed J 2023, 11(1): 13-15 | Back to browse issues page

XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Fahim Yeganeh S A, Raghimi H, Mohammadi M R. Epidemiologic and clinical manifestation analysis of COVID-19 patients admitted to 5th Azar Hospital in Gorgan. Jorjani Biomed J 2023; 11 (1) :13-15
URL: http://goums.ac.ir/jorjanijournal/article-1-943-en.html
1- Department of Emergency Medicine, School of Medicine, 5 Azar Hospital, Golestan University of Medical Sciences, Gorgan, IRAN
2- Clinical Research Development Unit (CRDU), 5 Azar Hospital, Golestan University of Medical Sciences, Gorgan, Iran
3- Department of Neurosurgery, School of Medicine, 5 Azar Hospital, Golestan University of Medical Sciences, Gorgan, IRAN , mr_mohammadi_md@yahoo.com
Abstract:   (2149 Views)
Seyedeh Almas Fahim Yeganeh1 Hanieh Raghimi2 Mohammad Reza Mohammadi  3
Background: Severely contagious, a beta coronavirus (COVID-19) has spread worldwide since December 2019, a life-threatening disease that leads to high mortality.
Methods: This study had 200 cases referred and admitted to 5th Azar Hospital in May and June 2020. Treatment started based on signs and symptoms and confirming positive CT scan findings. RT-PCR test is done for all of them. Patients are categorized due to age, underlying diseases, CT scan findings, and mortality.
Results: Diabetes mellitus (DM) was the most frequent underlying disease (35%), following hypertension (23.5%) and cardiovascular problems (9.5%). Although the severity of CT scan findings within the expired patients’ group was more than survived, the relation was insignificant (P=0.247). The mean age of cases who died was at least ten years more than survived. There was a mortality risk of 5.9 folds in cardiovascular disease (CVD) patients comparing patients free of CVD.
Conclusion: In dealing with involved COVID-19 patients considering their age and co-morbidities will help manage earlier and pay more attention to these cases.
Full-Text [PDF 426 kb]   (775 Downloads) |   |   Full-Text (HTML)  (394 Views)  
Type of Article: Original article | Subject: General medicine
Received: 2022/12/15 | Accepted: 2023/02/12 | Published: 2023/07/1

References
1. World Health Organization. Clinical management of severe acute respiratory infection when novel coronavirus (2019-nCoV) infection is suspected: Interim guidance. Ginebra; 2020. p.21 Monography in English | BIGG - GRADE guidelines. [View at Publisher] [DOI] [Google scholar]
2. Siordia Jr JA. Epidemiology and clinical features of COVID-19: A review of current literature. J Clin Virol. 2020;127:104357. [View at Publisher] [DOI] [PMID] [Google Scholar]
3. Maleki M, Mahmoudi MR, Heydari MH, Pho KH. Modeling and forecasting the spread and death rate of coronavirus (COVID -19) in the world using time series models. Chaos Solitons Fractals. 2020;140:110151. [View at Publisher] [DOI] [PMID] [Google Scholar]
4. Oran DP, Topol EJ. The Proportion of SARS-Cov-2 Infections that are Asymptomatic: A Systematic Review. Ann Intern Med. 2021; 174(5): 655-62. [View at Publisher] [DOI] [PMID] [Google Scholar]
5. Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (1): A Review. JAMA. 2020;324(8):782-93. [View at Publisher] [DOI] [PMID] [Google Scholar]
6. Harapan H, Itoh N, Yufika A, Winardi W, Keam S, Te H, et al. Coronavirus Disease 2019 (COVID-19): A Literature Review. J Infection and Public Health. 2020;13(5):667-73. [View at Publisher] [DOI] [PMID] [Google Scholar]
7. Wu J, Li J, Zhu G, Zhang Y, Bi Z, Yu Y, et al. Clinical Features of Maintenance Hemodialysis Patients with 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. Clin J Am Soc Nephrol. 2020;15(8):1139-45. [View at Publisher] [DOI] [PMID] [Google Scholar]
8. Li T, Wei C, Li W, Hongwei F, Shi J. Beijing :union: Medical College Hospital on "Pneumonia of Novel Coronavirus Infection" Diagnosis and Treatment Proposal (V2. 0). Med J Peking :union: Med Coll Hosp. 2020. [View at Publisher]
9. Fang Y, Zhang H, Xie J, Lin M, Ying L, Pang P, Ji W. Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR. Radiology. 2020;296(2):E115-7. [View at Publisher] [DOI] [PMID] [Google scholar]
10. Kim H, Hong H, Yoon SH. Diagnostic Performance of CT and Reverse Transcriptase Polymerase Chain Reaction for Coronavirus Disease 2019: A Meta-Analysis. Radiology. 2020;296(3):E145-55. [View at Publisher] [DOI] [PMID] [Google scholar]
11. Sabri A, Davarpanah AH, Mahdavi A, Abrishami A, Khazaei M, Heydari S, et al. Novel coronavirus disease 2019: predicting prognosis with a computed tomography -based disease severity score and clinical laboratory data. Pol Arch Intern Med. 2020;130(7-8):629-34. [View at Publisher] [DOI] [PMID] [Google Scholar]
12. Wong HYF, Lam HYS, Fong AH, Leung ST, Chin TW, Lo CSY, et.al. Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19. Radiology. 2020;296(2):E72-8. [View at Publisher] [DOI] [PMID] [Google Scholar]
13. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, et.al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020; 395(10223):507-13. [View at Publisher] [DOI] [PMID] [Google Scholar]
14. Shahriarirad R, Khodamoradi Z, Erfani A, Hosseinpour H, Ranjbar K, Emami Y, et.al. Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran. BMC Infect Dis. 2020;20(1):427. [View at Publisher] [DOI] [PMID] [Google Scholar]
15. Chung M, Bernheim A, Mei X, Zhang N, Huang M, Zeng X, et al. CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV). Radiology. 2020;295(1):202-7. [View at Publisher] [DOI] [PMID] [Google Scholar]
16. Nematollahi N, Mohammadi MR, Vakili MA, Baniaghil AS, Ghelichli M, Najafi MJ, et al. Chest CT Findings (COVID-19), Analysis of 200 Cases (Postmortem). J Adv Med Biomed Res. 2022;30(140):241-8. [View at Publisher] [DOI] [Google scholar]
17. Pan F, Ye T, Sun P, Gui S, Liang B, Li L, et.al. Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19). Radiology. 2020; 295(3):715-21. [View at Publisher] [DOI] [PMID] [Google scholar]
18. Adhikari SP, Meng S, Wu YJ, Mao YP, Ye RX, Wang QZ, et.al. Epidemiology, causes, clinical manifestation and diagnosis, prevention and control of coronavirus disease (COVID-19) during the early outbreak period: a scoping review. Infect Dis Poverty. 2020;9(1):29. [View at Publisher] [DOI] [PMID] [Google scholar]
19. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et.al. China Medical Treatment Expert Group for Covid-19. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020;382(18):1708-20. [View at Publisher] [DOI] [PMID] [Google scholar]
20. Taziki Balajelini MH, Vakili MA, Rajabi A, Mohammadi M, Tabarraei A, Hosseini SM. Recovery of olfactory and gustatory dysfunctions in coronavirus disease 2019 patients: a prospective cohort study. J Laryngol Otol. 2022:1-8. [View at Publisher] [DOI] [PMID] [Google scholar]
21. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et.al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. [View at Publisher] [DOI] [PMID] [Google Scholar]
22. Lake MA. What we know so far: COVID-19 current clinical knowledge and research. Clin Med (Lond). 2020; 20(2):124-7. [View at Publisher] [DOI] [PMID] [Google Scholar]
23. Li LQ, Huang T, Wang YQ, Wang ZP, Liang Y, Huang TB, et.al. COVID-19 patients' clinical characteristics, discharge rate, and fatality rate of meta-analysis. J Med Virol. 2020;92(6):577-83. [View at Publisher] [DOI] [PMID] [Google Scholar]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Jorjani Biomedicine Journal

Designed & Developed by : Yektaweb