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Critical Care (London, England)|January 16, 2024
The effect of passive leg raising test on intracranial pressure and cerebral autoregulation in brain injured patients: a physiological observational studyAntonio Messina, Agnieszka Uryga, Alberto Giardina, et al.
Computer Methods and Programs in Biomedicine|July 20, 2019
A machine learning approach for predicting urine output after fluid administrationPei-Chen Lin, Hsu-Cheng Huang, Matthieu Komorowski, et al.
Journal of Clinical Medicine|March 28, 2024
Risk Factors for Higher Postoperative Myocardial Injury in Minimally Invasive Mitral Valve Surgery Patients: A Cohort StudyFederica Baccanelli, Giovanni Albano, Alfonso Carrara, et al.
Critical Care (London, England)|November 20, 2014
Dynamic arterial elastance as a predictor of arterial pressure response to fluid administration: a validation studyManuel Ignacio Monge García, Manuel Gracia Romero, Anselmo Gil Cano, et al.
European Journal of Anaesthesiology|April 26, 2019
Tidal volume challenge to predict fluid responsiveness in the operating room: An observational studyAntonio Messina, Claudia Montagnini, Gianmaria Cammarota, et al.
Critical Care (London, England)|May 2, 2025
SIGH35 and end-expiratory occlusion test for assessing fluid responsiveness in critically ill patients undergoing pressure support ventilationAntonio Messina, Lorenzo Calabrò, Francesco Benedetto, et al.
Critical Care (London, England)|June 21, 2022
Fluid challenge in critically ill patients receiving haemodynamic monitoring: a systematic review and comparison of two decadesAntonio Messina, Lorenzo Calabrò, Luca Pugliese, et al.
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