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British Journal of Anaesthesia|December 18, 2015
Preoperative abnormalities in serum sodium concentrations are associated with higher in-hospital mortality in patients undergoing major surgeryM Cecconi, H Hochrieser, M Chew, et al.Membranes|August 6, 2021
Sharing Mechanical Ventilator: In Vitro Evaluation of Circuit Cross-Flows and Patient InteractionsSebastiano Maria Colombo, Michele Battistin, Eleonora Carlesso, et al.The Journal of Experimental Biology|July 14, 2026
Molecular mechanisms and energetic costs of recovery from freezing in the polyextremophile midge, Belgica antarctica JacobsCleverson de Sousa Lima, Melise C Lecheta, Samuel Cecconi, et al.The American Journal of Cardiology|October 28, 2022
Advanced Echocardiography With Left Atrial Strain and Indexed Left Atrial Three-Dimensional Volume for Predicting Underlying Atrial Fibrillation After Cryptogenic StrokeAlberto Vera, Alberto Cecconi, Álvaro Ximénez-Carrillo, et al.European Neurology|October 23, 2015
Neuroanatomical, Clinical and Cognitive Correlates of Post-Stroke DysphagiaMassimiliano Toscano, Emanuela Cecconi, Elisa Capiluppi, et al.Critical Care (London, England)|June 3, 2021
Why and how to open intensive care units to family visits during the pandemicGiovanni Mistraletti, Alberto Giannini, Giuseppe Gristina, et al.Vaccine|March 19, 2026
HPVoice: a single-blind three-arm RCT on social media communication strategies among adolescents in Tuscany, ItalyD Menicagli, V Casigliani, F Panizza, et al.Chemistry & Biodiversity|April 17, 2026
In Silico and In Vitro Antiurolithic Effect of Extracts, Fractions, and Isolated Compounds From Eugenia mattosiiBianca Letícia Maciél, Luma Da Silva Portella, Camile Cecconi Cechinel-Zanchett, et al.Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association|October 24, 2021
A Comprehensive Model to Predict Atrial Fibrillation in Cryptogenic Stroke: The Decryptoring ScoreAlberto Vera, Alberto Cecconi, Álvaro Ximénez-Carrillo, et al.Critical Care Medicine|January 11, 2020
Maternal Risk Modeling in Critical Care-Development of a Multivariable Risk Prediction Model for Death and Prolonged Intensive CareNicholas B Simpson, Manu Shankar-Hari, Kathryn M Rowan, et al.Pageof 140