Clinical Characteristics of a Group of Patients Confirmed with COVID-19 at a Hospital in Tehran, Iran: A Retrospective Case Report
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 11, Pages 2877-2883
AbstractIntroduction: The present study examines clinical features of patients infected with the 2019 sever acute respiratory syndrome coronavirus 2(SARS-Cov-2) leading to the coronavirus disease 2019 (covid-2019) in Rasool Akram hospital, Tehran, Iran.
Materials and methods: This was a retrospective case report performed at Rasool Akram hospital, Tehran, Iran. A total of 77 patients referred to the hospital with SARS-Covid-2 infection. Data of the present study has been collected from March 5th to April 5th 2020.
Results: Intensive care unit (ICU) has admitted 20 patients out of 77 patients. Among this sample, 23 patients were infected with acute respiratory syndrome and the other 18 remaining passed away. The calculated mean age of the patients admitted to the ICU was 60.8, 18 out of whom had deceased. In our results, male patients outnumber female patients where male patients account for 62.33% and female patients account for 37.66% of the whole study population. The most frequent and usual sings of this disease first reported as respirational distress or dyspnea (54.54%), coughs (54.54%) and myalgia (25.97). Only 3.89% of the patients had chest pain or chest discomfort. The most common comorbidities among those patients taken in the ICU and or deceased were diabetes, cardiovascular problems, hypertension and endocrine system problems. Out of 18 deaths, 11 (61.11%) cased had comorbidities. Among radiography and CT-scan results, 62.79% of the patients had involvement on chest radiography and 98.15% of the patients showed consolidation with ground glass opacities and 83.33% showed pleural effusion on their scan results.
Conclusion: Having as much thorough information as possible about the characteristics of the patients infected with this virus helps us make better and sooner judgmental calls and more accurate diagnosis.
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