Bibliographic Details
| Title: |
Influencing demographic characteristics, comorbidities disease, and radiologic finding on mortality due to Covid-19 in Iran |
| Authors: |
Farshad Gharebakhshi, Purya Haghjoo, Akram Sabkara, Roya Rahmani, Parisa Raji, Razieh Mousapour, Sara Ghaseminejad Kermani, Zaynab Tavafizadeh, Alireza Fazeli |
| Source: |
Journal of Family Medicine and Primary Care, Vol 11, Iss 9, Pp 5621-5625 (2022) |
| Publisher Information: |
Wolters Kluwer Medknow Publications, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Medicine |
| Subject Terms: |
covid-19, mortality, comorbidities disease, radiologic finding, Medicine |
| More Details: |
Introduction: Recognition of death risk factors is urgently needed, not only to identify the defining clinical and epidemiological characteristics with greater precision but also to facilitate the appropriate supportive care and prompt access to the intensive care unit (ICU) if necessary. This study aimed to investigate the influencing demographic characteristics, comorbidities disease, and radiologic finding on COVID-19 death. Method: Descriptive cross-sectional study included adult patients with COVID-19 from Imam Hossein. Demographic characteristics, comorbidities disease, chest CT scan findings, and outcome (death/survive) data were extracted from information health system (HIS), by using a data collection check list. To explore the influencing factors on mortality, logistic regression method was used. Result: Result demonstrated that most patients who died because of Covid-19 were men (63.4%), more than 60 years (86.4%), married (95.8%), and self-employed (37.1%) with a mean age of 72.1 ± 15.46 years ranging from 22 to 93 years. Having comorbidities disease such as cancer, cardiac disease, diabetes, age, and pathologic chest CT findings was associated with death. In contrast, gender, marital, job, cerebral vascular disease, and HTN were not correlated. Conclusion: Identification of demographic characteristics, comorbidities disease, and radiographic finding correlated with death of COVID-19 can help clinicians in order to with rapid diagnose and triages of high-risk patients to have a better plan for the care of these patients. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2249-4863 |
| Relation: |
http://www.jfmpc.com/article.asp?issn=2249-4863;year=2022;volume=11;issue=9;spage=5621;epage=5625;aulast=Gharebakhshi; https://doaj.org/toc/2249-4863 |
| DOI: |
10.4103/jfmpc.jfmpc_275_22 |
| Access URL: |
https://doaj.org/article/7d7aa2e8fe094bedb0834021a455ca36 |
| Accession Number: |
edsdoj.7d7aa2e8fe094bedb0834021a455ca36 |
| Database: |
Directory of Open Access Journals |
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