Correction: The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease

Daniele Castellani¹, Virgilio De Stefano², Carlo Brocca², Giorgio Mazzon³, Antonio Celia³, Andrea Bosio⁴, Claudia Gozzo⁴, Eugenio Alessandria⁴, Luigi Cormio^{5

6}, Runeel Ratnayake^{5

6}, Andrea Vismara Fugini⁷, Tonino Morena⁷, Yiloren Tanidir⁸, Tarik Emre Sener⁸, Simon Choong⁹, Stefania Ferretti¹⁰, Andrea Pescuma¹⁰, Salvatore Micali¹⁰, Nicola Pavan¹¹, Alchiede Simonato¹¹, Roberto Miano^{12

13}, Luca Orecchia^{12

13}, Giacomo Maria Pirola¹⁴, Angelo Naselli¹⁴, Esteban Emiliani¹⁵, Pedro Hernandez-Penalver¹⁵, Michele Di Dio¹⁶, Claudio Bisegna¹⁶, Davide Campobasso¹⁷, Emanuele Serafin¹⁸, Alessandro Antonelli¹⁸, Emanuele Rubilotta¹⁸, Deepak Ragoori¹⁹, Emanuele Balloni²⁰, Marina Paolanti²¹, Vineet Gauhar²², Andrea Benedetto Galosi²

Affiliations

¹ Urology Unit, Azienda Ospedaliero-Universitaria delle Marche, Universita Politecnica delle Marche, Via Conca 71, 60126, Ancona, Italy. castellanidaniele@gmail.com.
² Urology Unit, Azienda Ospedaliero-Universitaria delle Marche, Universita Politecnica delle Marche, Via Conca 71, 60126, Ancona, Italy.
³ Urology Unit, ULSS 7 Pedemontana, Bassano del Grappa, Vicenza, Italy.
⁴ Department of Urology, Citta della Salute e della Scienza Molinette University Hospital, Turin, Italy.
⁵ Andrology and Urology Unit, L. Bonomo Hospital, Andria, Italy.
⁶ School of Urology, University of Foggia, Foggia, Italy.
⁷ Urology Unit, Fondazione Poliambulanza Hospital, Brescia, Italy.
⁸ Department of Urology, Marmara University School of Medicine, Istanbul, Turkey.
⁹ Institute of Urology, University College Hospitals of London, London, UK.
¹⁰ Department of Urology, University of Modena and Reggio Emilia, Modena, Italy.
¹¹ Department of Surgical, Oncological and Stomatological Sciences, Urology Clinic, University of Palermo, Palermo, Italy.
¹² Urology Unit, AOU Policlinico Tor Vergata, Rome, Italy.
¹³ Department of Surgical Sciences, University of Rome Tor Vergata, Rome, Italy.
¹⁴ Urology Department, San Giuseppe Hospital, IRCCS Multimedica, Multimedica Group, Milan, Italy.
¹⁵ Department of Urology, Fundacio Puigvert (IUNA), Autonoma University of Barcelona, Barcelona, Spain.
¹⁶ Division of Urology, Department of Surgery, Annunziata Hospital, Cosenza, Italy.
¹⁷ Urology Unit, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy.
¹⁸ Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, Borgo Trento Hospital, Verona, Italy.
¹⁹ Department Urology, Asian Institute of Nephrology and Urology, Hyderabad, India.
²⁰ Department of Information Engineering, Universita Politecnica delle Marche, Ancona, Italy.
²¹ Department of Political Science, Communication and International Relations, University of Macerata, Macerata, Italy.
²² Department of Urology, Ng Teng Fong General Hospital, Singapore, Singapore.

PMID: 39607577
DOI: 10.1007/s00345-024-05390-7

Published Erratum

Correction: The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease

Daniele Castellani et al. World J Urol. 2024.

. 2024 Nov 28;42(1):652.

doi: 10.1007/s00345-024-05390-7.

Authors

Affiliations

¹ Urology Unit, Azienda Ospedaliero-Universitaria delle Marche, Universita Politecnica delle Marche, Via Conca 71, 60126, Ancona, Italy. castellanidaniele@gmail.com.
² Urology Unit, Azienda Ospedaliero-Universitaria delle Marche, Universita Politecnica delle Marche, Via Conca 71, 60126, Ancona, Italy.
³ Urology Unit, ULSS 7 Pedemontana, Bassano del Grappa, Vicenza, Italy.
⁴ Department of Urology, Citta della Salute e della Scienza Molinette University Hospital, Turin, Italy.
⁵ Andrology and Urology Unit, L. Bonomo Hospital, Andria, Italy.
⁶ School of Urology, University of Foggia, Foggia, Italy.
⁷ Urology Unit, Fondazione Poliambulanza Hospital, Brescia, Italy.
⁸ Department of Urology, Marmara University School of Medicine, Istanbul, Turkey.
⁹ Institute of Urology, University College Hospitals of London, London, UK.
¹⁰ Department of Urology, University of Modena and Reggio Emilia, Modena, Italy.
¹¹ Department of Surgical, Oncological and Stomatological Sciences, Urology Clinic, University of Palermo, Palermo, Italy.
¹² Urology Unit, AOU Policlinico Tor Vergata, Rome, Italy.
¹³ Department of Surgical Sciences, University of Rome Tor Vergata, Rome, Italy.
¹⁴ Urology Department, San Giuseppe Hospital, IRCCS Multimedica, Multimedica Group, Milan, Italy.
¹⁵ Department of Urology, Fundacio Puigvert (IUNA), Autonoma University of Barcelona, Barcelona, Spain.
¹⁶ Division of Urology, Department of Surgery, Annunziata Hospital, Cosenza, Italy.
¹⁷ Urology Unit, Azienda Ospedaliero-Universitaria di Parma, Parma, Italy.
¹⁸ Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata, Borgo Trento Hospital, Verona, Italy.
¹⁹ Department Urology, Asian Institute of Nephrology and Urology, Hyderabad, India.
²⁰ Department of Information Engineering, Universita Politecnica delle Marche, Ancona, Italy.
²¹ Department of Political Science, Communication and International Relations, University of Macerata, Macerata, Italy.
²² Department of Urology, Ng Teng Fong General Hospital, Singapore, Singapore.

PMID: 39607577
DOI: 10.1007/s00345-024-05390-7

No abstract available

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Erratum for

The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease.
Castellani D, De Stefano V, Brocca C, Mazzon G, Celia A, Bosio A, Gozzo C, Alessandria E, Cormio L, Ratnayake R, Vismara Fugini A, Morena T, Tanidir Y, Sener TE, Choong S, Ferretti S, Pescuma A, Micali S, Pavan N, Simonato A, Miano R, Orecchia L, Pirola GM, Naselli A, Emiliani E, Hernandez-Peñalver P, Di Dio M, Bisegna C, Campobasso D, Serafin E, Antonelli A, Rubilotta E, Ragoori D, Balloni E, Paolanti M, Gauhar V, Galosi AB. Castellani D, et al. World J Urol. 2024 Nov 1;42(1):612. doi: 10.1007/s00345-024-05314-5. World J Urol. 2024. PMID: 39485570

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Correction: The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease

Affiliations

Correction: The infection post flexible UreteroreNoscopy (I-FUN) predictive model based on machine learning: a new clinical tool to assess the risk of sepsis post retrograde intrarenal surgery for kidney stone disease

Authors

Affiliations

Erratum for

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LinkOut - more resources

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