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1.
Rev Assoc Med Bras (1992) ; 68(10): 1476-1480, 2022.
Article in English | MEDLINE | ID: covidwho-2140985

ABSTRACT

OBJECTIVE: This study aimed to investigate the effect of mutations by comparing wild-type SARS-CoV-2 and Omicron regarding clinical features in patients with COVID-19. It also aimed to assess whether SARS-CoV-2 cycle threshold value could predict COVID-19 severity. METHODS: A total of 960 wild-type and 411 Omicron variant patients with positive results in SARS-CoV-2 real-time reverse transcriptase polymerase chain reaction test from oropharyngeal and/or nasopharyngeal samples during their hospital admissions were included in this retrospective study. The reference symptoms of the patients were obtained from the hospital database. The correlation between chest computed tomography findings and the "cycle threshold" of patients with wild-type SARS-CoV-2 was assessed. RESULTS: Cough, fever, shortness of breath, loss of taste and smell, and diarrhea were found to be statistically significantly higher (p=0.001; 0.001; 0.001; 0.001; and 0.006; respectively) in the wild-type cohort, while in the Omicron cohort, sore throat and headache were found to be statistically significantly higher (p=0.001 and 0.003, respectively). An inverse relationship was found between chest computed tomography findings and viral load. CONCLUSION: This study revealed that the Omicron variant tended to infect predominantly the upper respiratory tract and showed decreased lung infectivity, and the disease progressed with a milder clinical course. Therefore, the study showed that the tropism of the virus was changed and the viral phenotype was affected. It was also found that SARS-CoV-2 viral load did not predict COVID-19 severity in patients with wild-type SARS-CoV-2.


Subject(s)
COVID-19 , Pneumonia , Humans , Retrospective Studies , SARS-CoV-2/genetics , Viral Tropism
2.
Turk J Med Sci ; 51(SI-1): 3221-3228, 2021 12 17.
Article in English | MEDLINE | ID: covidwho-1594718

ABSTRACT

Emergency departments have always been the first point of contact for hospitals in many situations, including man-made and natural disasters. The first places where patients with symptoms of COVID-19 were met in health institutions were also emergency departments. Emergency departments play an important role in diagnosing the disease and isolating patients (by hospitalization if necessary). The process, which starts with the triage of outpatients admitted to the emergency department and brought by ambulance, continues as isolation of the patients in appropriate areas including physical evaluation, management of laboratory and scanning processes and, if necessary, providing cardiopulmonary resuscitation with airway support. Afterwards, patients can be treated as an outpatient, or hospitalized, or treated at the intensive care unit in line with their preliminary diagnosis and clinical conditions. Disruptions that may occur in one or more of these stages can lead to crowds and lengthy queues in the emergency department by prolonging the follow-up period of the patients. One of the strengths of Turkey at this point is that emergency departments are accustomed to the heavy patient load. The experiences gained from these conditions have facilitated the organization of pre-hospital emergency medical services, pandemic hospitals, and their emergency departments. In this organization, the main goal should be to provide uninterrupted and high-quality patient care through personnel training, personal protection measures, and the creation of physical conditions. Turkey's emergency departments are accustomed to managing the intensive patient flow, as they work at full capacity during normal times. Thanks to the experiences of emergency healthcare workers, health service was provided without any patient being turned away from the door of the emergency departments during the COVID-19 pandemic. In this review, we aimed to present the organization of pandemic hospitals and emergency departments during the COVID-19 pandemic. We made a schematic representation of the architectural areas through the emergency department of Ankara City Hospital, which has a bed capacity of 4200 with 256 beds in emergency department.


Subject(s)
COVID-19 , Emergency Service, Hospital/organization & administration , Pandemics , Hospitals , Humans , SARS-CoV-2
3.
Erciyes Medical Journal / Erciyes Tip Dergisi ; 43(5):419-422, 2021.
Article in English | Academic Search Complete | ID: covidwho-1380138

ABSTRACT

SARS-CoV-2-associated COVID-19 pandemic has affected the daily life of people across the world in 2020. Data about the course of viral involvement continues to be accumulated. COVID-19 is a multi-systemic disease, and the clinical presentations and possible complications may vary widely in different patient groups. The cardiovascular system is a primary target of COVID-19, and direct or indirect effects of viral involvement are observed. In addition to the direct effects of viral involvement on the cardiovascular system, decrement in acute cardiac emergencies has been experienced in many cardiology clinics in Turkey during the pandemic. Moreover, there may be a possible increase in out-of-hospital cardiac arrests in the near future. In this narrative review, we aimed to discuss the cardiac manifestations of COVID-19, the possible drug interactions related to the drugs used for COVID-19 management, and the effect of the pandemic on cardiac emergencies. We believe that understanding the natural mechanism of cardiac involvement of SARS-CoV-2 and emphasizing the data about out-of-hospital arrests will help clinicians effectively deal with the preventable cardiovascular causes of death in the forthcoming waves of COVID-19. [ABSTRACT FROM AUTHOR] Copyright of Erciyes Medical Journal / Erciyes Tip Dergisi is the property of KARE Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

4.
Saudi J Gastroenterol ; 27(2): 105-110, 2021.
Article in English | MEDLINE | ID: covidwho-1110572

ABSTRACT

Background: The objective of our study was to investigate the location, extension and type of novel coronavirus-induced disease 2019 (COVID-19) infection involvement and hepatic steatosis on initial chest computed tomography (CT). The relationship between fatty liver and severity of the disease was also investigated by measuring the liver attenuation index (LAI). Methods: This study evaluated the chest CT images of 343 patients (201 male, mean age 48.43 years) who were confirmed to have COVID-19, using nasopharyngeal swab. The chest CTs were analyzed for laterality, number of involved lobes, diffuseness, number of lesions, and lesion types. The CT attenuation values of liver and spleen were measured, and LAI was calculated for the detection of hepatic steatosis. Univariate and multivariate logistic regression analysis were used to identify the independent early predictors for severe COVID-19. Results: There was no significant difference between genders in terms of clinical course. Liver density and LAI were significantly lower in the intensive care unit (ICU) patients. The prevalence of severe disease was higher in the patients with hepatic steatosis than in the non-steatotic group (odds ratio [OR] 3.815, 95% confidence interval [CI] 1.97-7.37, P < 0.001). After adjusting for age and comorbidities including hypertension, diabetes mellitus, coronary artery disease, chronic obstructive pulmonary disease, and chronic kidney disease, multivariate logistic regression analysis showed that non-alcoholic fatty liver disease (NAFLD) was an independent risk factor for COVID-19 severity (OR 3.935, 95% CI 1.77-8.70, P = 0.001). The optimal cut-off value for LAI was calculated as 0.5 for predicting patients who required ICU treatment. Conclusions: On the initial chest CT images of COVID-19 patients, presence of fatty liver is a strong predictor for severe disease.


Subject(s)
COVID-19 , Female , Humans , Liver , Male , Middle Aged , Retrospective Studies , SARS-CoV-2 , Tomography, X-Ray Computed
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