![]() Other four patients, all without misty mesentery, had a clinical history of cancer. Four out of the 15 patients with misty mesentery were obese. Five patients died, all without the misty mesentery sign. Chest CT was performed on average 24.4☑7.3 days after hospital admission. All statistical analyses were performed with SPSS (IBM SPSS Statistics v.26, IBM Armonk, NY, USA) (level of significance P<0.05).įifteen (13.3%) out of the 113 patients matching the inclusion criteria (31 females mean age ± standard deviation, 65.1☑4.4 years) showed an area of high density within the mesenteric fat associated with enlarged lymph nodes ( Figure 1). We applied the Student’s t-test and the Fisher’s exact test, for continuous and categorical variables, to evaluate potential differences between patients with and without the misty mesentery sign. We collected demographics, first-line clinical and laboratory information (i.e., fever, gastrointestinal symptoms, white and red blood cell count, levels of hemoglobin and C-reactive protein (CRP)). Thus, we retrospectively assessed the first chest CT, including part of the upper abdomen, of all patients affected by COVID-19 (i.e., positive at Reverse transcription polymerase chain reaction (RT-PCR)) referring to our tertiary center from March to September 2020. In line with this evidence, in our clinical practice, we noticed the occurrence of the misty mesentery sign (i.e., increased attenuation of the mesenteric fat) in the upper abdomen of COVID-19 patients who underwent chest computed tomography (CT) ( 3). Since the beginning of the current Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, numerous studies demonstrated the systemic effect of COVID-19 by showing the involvement of different organs and anatomical areas such as the brain and the abdomen ( 1, 2). Institute of Radiology, Department of Medicine – DIMED, Padova University, Via Giustiniani 2, 35100, Padova, Italy. Policy of Dealing with Allegations of Research MisconductĬorrespondence to: Chiara Giraudo, MD, PhD. ![]()
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