Zobrazeno 1 - 10
of 349
pro vyhledávání: '"Giomarelli, P"'
Autor:
Franchi, F., Silvestri, R., Cubattoli, L., Taccone, F.S., Donadello, K., Romano, S.M., Giomarelli, P., McBride, W.T., Scolletta, S.
Publikováno v:
In British Journal of Anaesthesia August 2011 107(2):202-208
Publikováno v:
Mediators of Inflammation, Vol 5, Iss 1, Pp 51-55 (1996)
The aim of this study was to evaluate plasma levels of two mediators with immunosuppressive properties, complement fraction C3a (C3a) and transforming growth factor-β1 (TGF-β1), during extracorporeal circulation. The proliferation index after phyto
Externí odkaz:
https://doaj.org/article/08c6cd2a0b074db3a7a1da97dac00f0d
Publikováno v:
In British Journal of Anaesthesia August 2005 95(2):159-165
Publikováno v:
In Transplantation Proceedings June 2003 35(4):1519-1522
Autor:
Biagioli Bonizella, Scolletta Sabino, Fossombroni Vittorio, Marullo Antonino, Cevenini Gabriele, Franchi Federico, Simeone Felicetta, Giomarelli Pierpaolo, Barbini Paolo
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 11, Iss 1, p 44 (2011)
Abstract Background Patients undergoing heart surgery continue to be the largest demand on blood transfusions. The need for transfusion is based on the risk of complications due to poor cell oxygenation, however large transfusions are associated with
Externí odkaz:
https://doaj.org/article/ccd3d11faedc4c49b6d6039c2a1b0b43
Autor:
Giomarelli Pierpaolo, Biagioli Bonizella, Scolletta Sabino, Barbini Emanuela, Cevenini Gabriele, Barbini Paolo
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 7, Iss 1, p 36 (2007)
Abstract Background Popular predictive models for estimating morbidity probability after heart surgery are compared critically in a unitary framework. The study is divided into two parts. In the first part modelling techniques and intrinsic strengths
Externí odkaz:
https://doaj.org/article/b14d6363050646269710906dc51220e6
Autor:
Biagioli Bonizella, Scolletta Sabino, Cevenini Gabriele, Barbini Emanuela, Giomarelli Pierpaolo, Barbini Paolo
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 7, Iss 1, p 35 (2007)
Abstract Background Different methods have recently been proposed for predicting morbidity in intensive care units (ICU). The aim of the present study was to critically review a number of approaches for developing models capable of estimating the pro
Externí odkaz:
https://doaj.org/article/b5c2a72a559a46d89f5a56d3d72b5eef
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