Plasma of argon may promote cell adhesion and positively influence collagen fiber orientation. A greater sample is necessary to confirm these preliminary results.

The purpose of this paper was to do a comparative evaluation of the skull of two species of lizards, the Komodo dragon (Varanus komodoensis) and the Green Iguana (Iguana iguana), by three-dimensional computed tomographic reconstruction. Images provided by this method give excellent anatomic detail of the skull. Therefore, essential differences in the configuration of the orbit and the lateral bones of the neurocranium were visualized in lateral and dorsal reconstructed images. The images obtained by tridimensional computed tomographic reconstruction can be a valuable diagnostic aid for the clinical evaluation of several head disturbances in lizards.Key words: computed tomography; 3D reconstruction; anatomy; skull; lizardsPRIMERJAVA LOBANJ KOMODOŠKEGA VARANA (Varanus komodoensis) IN ZELENEGA LEGVANA (Iguana iguana) S POMOČJO TRIDIMENZIONALNE RAČUNALNIŠKE TOMOGRAFSKE REKONSTRUKCIJEIzvleček: Namen prispevka je bil s tridimenzionalno računalniško tomografsko rekonstrukcijo opraviti primerjalno oceno lobanje dveh vrst kuščarjev, komodoškega varana (Varanus komodoensis) in zelenega legvana (Iguana iguana). Slike, pridobljene s to metodo, prikažejo odlične anatomske podrobnosti lobanje. Zato so bile na stranskih in dorzalnih rekonstrukcijah slik vidne bistvene razlike v zgradbi orbitalnega področja in stranskih kosti nevrokranija med obema vrstama kuščarjev. Slike, pridobljene s tridimenzionalno računalniško tomografsko rekonstrukcijo, so lahko dragocena diagnostična pomoč pri klinični oceni večih napak glave pri kuščarjih.Ključne besede: računalniška tomografija; 3D rekonstrukcija; anatomija; lobanja; kuščarji

This study aimed to describe the anatomic features of the normal head of the Komodo dragon (Varanus komodoensis) identified by computed tomography. CT images were obtained in two dragons using a helical CT scanner. All sections were displayed with a bone and soft tissue windows setting. Head reconstructed, and maximum intensity projection images were obtained to enhance bony structures. After CT imaging, the images were compared with other studies and reptile anatomy textbooks to facilitate the interpretation of the CT images. Anatomic details of the head of the Komodo dragon were identified according to the CT density characteristics of the different organic tissues. This information is intended to be a useful initial anatomic reference in interpreting clinical CT imaging studies of the head and associated structures in live Komodo dragons.

The significant impact of COVID-19 worldwide has made it necessary to develop tools to identify patients at high risk of severe disease and death. This work aims to validate the RIM Score-COVID in the SEMI-COVID-19 Registry. The RIM Score-COVID is a simple nomogram with high predictive capacity for in-hospital death due to COVID-19 designed using clinical and analytical parameters of patients diagnosed in the first wave of the pandemic. The nomogram uses five variables measured on arrival to the emergency department (ED): age, sex, oxygen saturation, C-reactive protein level, and neutrophil-to-platelet ratio. Validation was performed in the Spanish SEMI-COVID-19 Registry, which included consecutive patients hospitalized with confirmed COVID-19 in Spain. The cohort was divided into three time periods: T1 from February 1 to June 10, 2020 (first wave), T2 from June 11 to December 31, 2020 (second wave, pre-vaccination period), and T3 from January 1 to December 5, 2021 (vaccination period). The model’s accuracy in predicting in-hospital COVID-19 mortality was assessed using the area under the receiver operating characteristics curve (AUROC). Clinical and laboratory data from 22,566 patients were analyzed: 15,976 (70.7%) from T1, 4,233 (18.7%) from T2, and 2,357 from T3 (10.4%). AUROC of the RIM Score-COVID in the entire SEMI-COVID-19 Registry was 0.823 (95%CI 0.819–0.827) and was 0.834 (95%CI 0.830–0.839) in T1, 0.792 (95%CI 0.781–0.803) in T2, and 0.799 (95%CI 0.785–0.813) in T3. The RIM Score-COVID is a simple, easy-to-use method for predicting in-hospital COVID-19 mortality that uses parameters measured in most EDs. This tool showed good predictive ability in successive disease waves. Supplementary Information The online version contains supplementary material available at 10.1007/s11739-023-03200-3.