Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Predicting a prolonged air leak after video assisted thoracic surgery, is it really possible?

Autor: Francesco Londero, Luca Ampollini, Ottavio Rena, Carlo Curcio, M. Benvenuti, Giampiero Negri, F. Zaraca, A. Dell’ Amore, Francesco Carleo, Giovanna Rizzardi, Reinhold Perkmann, Andrea Droghetti, Cristiano Breda, A. Rinaldo, Marco Pipitone, Massimo Torre, R. Crisci, Nicoletta Pia Ardò, Roberto Crisci, E Pirondini, D. Gavezzoli, Angelo Morelli, R. Cherchi, Alessandro Baisi, G. Melloni, Luca Voltolini, Marco Scarci, P. Camplese, Duilio Divisi, F. Pernazza, Lorenzo Spaggiari, R. Gasparri, Felice Mucilli, Marco Ghisalberti, Andrea Imperatori, G. Cavallesco, Francesco Sollitto, S. Nicotra, Elisa Meacci, Giampiero Dolci, Alessandro Gonfiotti, Majed Refai, P.G. Solli, Lo F. Giudice, M. Giovanardi, Nicola Rotolo, Andrea Viti, C. Curcio, Stefano Margaritora, Desideria Argnani, Francesco Guerrera, L. Bortolotti, Giuseppe Cardillo, F. Mazza, Birgit Feil, Alessandro Bertani, Cristiano Benato, Davide Tosi, Luca Luzzi, Edoardo Bottoni, F. Srella, Alessandro Bandiera, D. Vinci, Pio Maniscalco, Mario Nosotti, G. Tancredi, A. De Palma, C. Surrente, G. Marulli, P. Ferrari, Camillo Lopez, Federico Raveglia, C. Risso, Alessandro Stefani, Gianluca Pariscenti, Dario Amore, Marco Alloisio, Paolo Olivo Lausi, M. Infante, A. Terzi, Luca Bertolaccini, V. Della Beffa, Francesco Puma, M. Mancuso, P Natali, Paolo Carbognani, Francesco Zaraca, Diego Fontana

Validation of predictive risk models for prolonged air leak (PAL) is essential to understand if they can help to reduce its incidence and complications. This study aimed to evaluate both the clinical and statistical performances of 4 existing models.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bffb004b672510c90f765c98ec36cc0a
https://hdl.handle.net/11380/1227682

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Microbial quality of equine frozen semen

Autor: A. Corona, R. Cherchi

Publikováno v: Animal Reproduction Science. 115:103-109

Bacteriological surveillance is little applied in management of equine frozen semen but it is quite important to verify the microbial contamination in order to find out the chance of transmission of pathology to the mare in AI. Authors describe a qua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7f3a12a7ca674d4377faf49f00b6f0e
https://doi.org/10.1016/j.anireprosci.2008.11.016