This README_HOSP_READMISSION_2022.txt file was generated on 2022-03-01 by Marta Ottone GENERAL INFORMATION Title of Dataset: Data from: CLINICAL AND IMAGING CHARACTERISTICS OF COVID-19 PATIENTS PREDICTING HOSPITAL READMISSION AFTER EMERGENCY DEPARTMENT DISCHARGE: A SINGLE CENTRE COHORT STUDY IN ITALY. Author Information: Corresponding Investigator Name: Dr Marta Ottone Institution: Epidemiology Unit. AUSL-IRCCS di Reggio Emilia. Reggio Emilia. Italy Email: marta.ottone@ausl.re.it Alternate Contact Information Name: PhD Paolo Giorgi Rossi Institution: Epidemiology Unit. AUSL-IRCCS di Reggio Emilia. Reggio Emilia. Italy Email: Paolo.GiorgiRossi@ausl.re.it Date of data collection: March 2 - March 31, 2020 Geographic location of data collection: the province of Reggio Emilia, in northern Italy Recommended citation for this dataset: Ottone, Marta (2022), Characteristics of COVID-19 patients predicting hospital readmission after ED discharge, Dryad, Dataset, https://doi.org/10.5061/dryad.mgqnk9918 DATA OVERVIEW Description of dataset: These data were generated and aggregated to investigate the main characteristics associated with ED readmission and hospitalization. METHODOLOGICAL INFORMATION Demographic and clinical data, including date of symptom onset, diagnosis, hospitalization, and death, were retrieved from the COVID-19 Surveillance Registry, coordinated by the National Institute of Health and implemented in each Local Health Authority. CT scans were performed using one of three scanners (128-slice Somatom Definition Edge, Siemens Healthineers; 64-slice Ingenuity, Philips Healthcare; 16-slice GE Brightspeed, GE Healthcare) without contrast media injection, with the patient in the supine position, during end-inspiration. Registry data were linked with hospital discharge databases to collect information on comorbidities from all hospital admissions occurring up to January 31, 2020. DATA-SPECIFIC INFORMATION FOR: dataset_hosp_readmission_2022.csv Number of variables: 7 Number of cases/rows: 292 Missing data codes: None Variable list: age_c -> age in quartile (1: <48 years, 2: 48-55 years; 3: 56-64 years; 4: >64 years) charlson2 -> Charlson comorbidity index in four classes (0: no presence of relevant comorbidity, 1, 2, ≥ 3) CT -> disease extension in four classes (1: <=20; 2: 20-40; 3: 40-60; 4: >=60) Velocityindex2 -> indicator of the velocity of disease progression at ED admission Readmission_hosp_death -> readmission to the ED within 14 days from the first admission, followed by hospitalization or by death.(0: no; 1:yes) days_from_symptomonset -> days from symptom onset to first ED admission in categories (1: 1-3 days; 2: 4-8 days; 3: 9-12 days; 4: >12 days) freq -> frequency weights, are weights that indicate the number observations/cases