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Massimo Antonelli

Researcher at Agostino Gemelli University Polyclinic

Publications -  1395
Citations -  95628

Massimo Antonelli is an academic researcher from Agostino Gemelli University Polyclinic. The author has contributed to research in topics: Large Hadron Collider & Intensive care. The author has an hindex of 130, co-authored 1272 publications receiving 79319 citations. Previous affiliations of Massimo Antonelli include Universidad del Sagrado Corazón & University of Insubria.

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Journal ArticleDOI

Search for squarks and gluinos in final states with jets and missing transverse momentum at √s =13 TeV with the ATLAS detector

Morad Aaboud, +2840 more
- 12 Jul 2016 - 
TL;DR: In this paper, a search for squarks and gluinos in final states containing hadronic jets, missing transverse momentum but no electrons or muons is presented; the data were recorded in 2015 by the ATLAS experiment.
Journal ArticleDOI

Measurement of the prompt J/ψ pair production cross-section in pp collisions at √s = 8 TeV with the ATLAS detector

Morad Aaboud, +2857 more
- 07 Feb 2017 - 
TL;DR: In this article, a sample of proton-proton collisions at 8$ TeV, corresponding to an integrated luminosity of 11.4 fb$^{-1}$ collected in 2012 with the ATLAS detector at the LHC.

Measurement of the t-channel single top-quark production cross section in pp collisions at √s = 7 TeV with the ATLAS detector

Georges Aad, +3036 more
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Predicting intensive care unit admission and death for COVID-19 patients in the emergency department using early warning scores.

Marcello Covino, +12 more
- 01 Nov 2020 - 
TL;DR: In a single-centre cohort of COVID-19 patients, NEWS and REMS measured on ED arrival were the most sensitive predictors of 7-day ICU admission or death and were as accurate as the triage system used in the authors' ED.

Application of SOFA score to trauma patients. Sequential Organ Failure

Massimo Antonelli
TL;DR: The SOFA score can reliably describe organ dysfunction/ failure in trauma patients and regular and repeated scoring may be helpful for identifying categories of patients at major risk of prolonged ICU stay or death.