Persistence of Symptoms After Improvement of Acute COVID-19

Summary

Participation Requirements

Description

About one hundred patients who were test positive for SARS-CoV2 and were improved and discharged from Sohag isolation hospitals and isolation department for COVID19 in Sohag University hospitals during the period from 15th May, 2020 to 25th July, 2020 will be included in our study. Patient improveme...

About one hundred patients who were test positive for SARS-CoV2 and were improved and discharged from Sohag isolation hospitals and isolation department for COVID19 in Sohag University hospitals during the period from 15th May, 2020 to 25th July, 2020 will be included in our study. Patient improvement and discharge criteria include 10 day from symptoms onset in addition to 3 day free of fever and respiratory symptoms. Patients with severe complex illness, pregnant or lactating females and patient who refuse to participate or give complete detailed history will be excluded from the study. The study protocol will be approved by the scientific Research Ethical committee, Faculty of Medicine, Sohag University A control group of healthy volunteer who were age and sex matched to our patient were included After taken informed consent according to Sohag University Ethical Committee, the baseline data will be collected from Sohag isolation hospital of COVID19, then the researchers will perform interviews with all participants through mobile phone. The interview will include: Name (Optional) Age Sex Occupation Presence of DM, HTN or any chronic illness Asking about Smoking The date of catching COVID19 infection Asking about symptoms of COVID19 infection and duration of each symptom. Asking about any residual symptoms as: Fatigue, Myalgia, Arthralgia, Chest pain, Dyspnea, Dry cough, Productive cough, Sore Throat, Anosmia, Loss of taste sensation, Nausea, Anorexia, Diarrhea, Redness of the eye, Headache, Confusion and Depression Statistical analysis: Data will be analyzed using STATA version 14.2 (Statistical Software: Release 14.2 College Station, TX: Stata Corp LP). Quantitative data will be represented as mean, standard deviation, median and range. normally distributed. Qualitative data will be presented as numbers and percentages. Chi square test will be used for comparison of percentages in different groups. P value will be considered significant if it was less than 0.05.

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