Discharge of Confirmed COVID-19 Patients Based on WHO or Regional Criteria? A Cohort Study.

BACKGROUND: Increasing the number of COVID-19 patients raises concerns about the capacity of the health care system. This issue emphasizes reducing the admission rate and expediting patient discharge. OBJECTIVE: This study aimed to develop a discharge protocol for COVID-19 patients based on the existing capacity of the healthcare system and to assess its post-discharge outcomes. METHODS: This is a multicenter cohort study. All COVID-19 patients referred to selected medical centers in Qom, Iran, from Feb. 19 to Apr. 19, 2020, were target populations. Eligible patients were classified into a) the criterion group and b) the non-criterion group. Patients were followed up daily for 14 days after discharge by phone, and the required data was gathered and recorded in follow-up form. Univariate (chi-square and t-tests) and multivariate multiple (multivariate probit regression) analysis were used. RESULTS: A total of 2775 patients were included in the study (1440 people in the criterion group and 1335 in the non-criterion group). Based on multivariate probit regression, death was statistically associated with discharge outside our criteria (p<0.001), rising age (p<0.001), and being male (p=0.019), and readmission were associated with discharge outside our criteria (p<0.001), rising age (p=0.009), and having the history of underlying diseases (p=0.003). Furthermore, remission had statistically significant associations with discharge based on our criteria (p<0.001), decreasing age (p=0.001), and lack of a history of underlying diseases (p<0.001). CONCLUSION: Mortality and readmission were significantly lower according to our discharge criteria. Our designed criteria apply to less developed and developing countries due to the limited capacity and resources available in the health care system.

Comparing the Sensitivity and Specificity of Lung CT-scan with RT-PCR for Diagnosis of COVID-19.

BACKGROUND: The lung is one of the major organs affected by the SARS-CoV-2 virus. Lung CT scan and RT-PCR are the most valuable diagnostic methods in the early diagnosis and management of COVID-19. Due to the possible inconsistency of the false-negative results for the RT-PCR test, in our study, we aimed to evaluate the sensitivity and specificity of lung CT-scan as an accurate diagnostic method of COVID-19. METHODS: In this cross-sectional study, patients suspected of COVID-19 and referred to Shahid Beheshti Hospital in Qom city from February 26 to April 13, 2020, were enrolled. For a definitive diagnosis of COVID-19, chest CT scan and RT-PCR testing was performed for 644 patients, and both sensitivity and specificity of lung CT scan were evaluated. RESULTS: According to the findings, and comparing to the RT-PCR test as the gold standard, sensitivity, specificity as well as, positive predictive and negative predictive values of lung CT-scan were found as follow; 94.47% (95% CI: 90.73 - 97.02%), 24.71% (95% CI: 20.70 - 29.07%), 40.73% (95% CI: 36.58 - 44.99%), 89.08% (95% CI: 82.4 - 94.05%), respectively. CONCLUSION: According to the findings, the lung CT scan has a better diagnostic value than RTPCR in symptomatic patients who were referred to the hospital for COVID-19 diagnosis. Performing lung CT-scan in patients with negative RT-PCR tests should be assessed.