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Introduction: This study aimed to evaluate the baseline characteristics of patients infected with SARS-CoV-2, after receiving first or second doses of COVID-19 vaccine.
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Introduction: To understand the effects of COVID-19 vaccines it would be essential to have knowledge about the effects of the disease during the time that vaccines were unavailable. Hence, we tracked the clinical outcomes of Iranian COVID-19 patients during Feb 19th till May 1st 2020 by a longitudinal follow-up study of patients discharged from a university hospital in Iran.
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Background: Para-clinical abnormalities are considered as predictors of COVID-19 severity. We aimed at evaluate the relationship between laboratory and chest computed tomography (CT) scan findings and severity of COVID-19 cases. Materials and methods: We performed a retrospective study on confirmed COVID-19 patients in Amir-Al-Momenin hospital, Tehran, Iran, from February 20, 2020 to April 19, 2020. Para-clinical characteristics of the patients including chest CT scan and laboratory findings were recruited from patients' medical records. Then we evaluated the relationship between laboratory and chest CT scan findings and severity of COVID-19 cases. We performed statistical analysis using descriptive methods and analytical tests by SPSS statistical software version-24.
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Background: Today, the coronavirus disease 2019 (COVID-19) pandemic and its control are the global priority. Therefore, identifying the epidemiological and clinical patterns of this disease is critical. We aimed to evaluate the clinical and epidemiological characteristics of patients diagnosed with COVID-19 and its relationship with disease severity. Materials and methods: In this cross- sectional study, we recruited patients referred to Amir-al-Momenin Hospital, Tehran, Iran, diagnosed with COVID-19 from February 20, 2020 to April 19, 2020. Data related to the clinical and epidemiological characteristics of COVID-19 admitted patients were collected through their hospital records and were analyzed using descriptive methods by ANOVA, Chi-square tests, multivariable logistic regression, and Tukey post hoc tests.
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The Brugada-like ECG pattern is a transient condition which may be induced by number of conditions. In this case reported, a 53-year-old Iranian male patient, presented with 7-day history of fever, chills, headache and shortness of breath. At the time of presentation to the Emergency Department (ED), the patient was febrile with tachycardia, tachypnea, and oxygen (O2) saturation 75%. The chest radiograph showed a bilateral infiltration and positive result of Real Time Polymerase Chain Reaction (RT-PCR) confirmed the diagnosis of COVID-19 infection. He received Kaletra, Hydroxychloroquine, Azithromycin, Antibiotics, and Intravenous Immunoglobulin (IVIG). The patients was intubated and underwent mechanical ventilation because of no improvement on the O2 saturation level. Fever subsided on 7th day and Hydroxychloroquine was stopped on 5th day. On the sixth day of hospital stay, Electrocardiogram (ECG) showed sinus tachycardia. Troponin-I- high sensitive was within normal range and Transthoracic Echocardiography (TTE) showed normal Ejection Fraction (EF). On 10th day, type I Brugada ECG pattern presented and regular ECG monitoring was recommended. Finally, after eleven-day hospital stay, the patient died due to bradycardia and asystole despite Cardiopulmonary Resuscitation (CPR). Thus, physicians should consider Brugada ECG pattern in the precordial leads (V1 to V3) of ECG among patients with COVID-19 infection beside regular QT interval monitoring.