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Influencing demographic characteristics, comorbidities disease, and radiologic finding on mortality due to Covid-19 in Iran.
Gharebakhshi, Farshad; Haghjoo, Purya; Sabkara, Akram; Rahmani, Roya; Raji, Parisa; Mousapour, Razieh; Kermani, Sara Ghaseminejad; Tavafizadeh, Zaynab; Fazeli, Alireza.
  • Gharebakhshi F; Department of Radiology, Imam Hossein Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Haghjoo P; Department of Urology Research Center, Razi Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
  • Sabkara A; Department of Infection and Tropical Disease, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Rahmani R; Department of Infection and Tropical Disease, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Raji P; Department of Anesthesiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mousapour R; Department of Radiology, Imam Hossein Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Kermani SG; Department of Emergency Medicine, Imam Hossein Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Tavafizadeh Z; Department of Radiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
  • Fazeli A; Department of Medical Education, Medical Education Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
J Family Med Prim Care ; 11(9): 5621-5625, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-2144201
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: J Family Med Prim Care Year: 2022 Document Type: Article Affiliation country: Jfmpc.jfmpc_275_22

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Prognostic study / Randomized controlled trials Language: English Journal: J Family Med Prim Care Year: 2022 Document Type: Article Affiliation country: Jfmpc.jfmpc_275_22