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Can Clinical and Surgical Parameters Be Combined to Predict How Long It Will Take a Tibia Fracture to Heal? A Prospective Multicentre Observational Study: The FRACTING Study

BACKGROUND: Healing of tibia fractures occurs over a wide time range of months, with a number of risk factors contributing to prolonged healing. In this prospective, multicentre, observational study, we investigated the capability of FRACTING (tibia FRACTure prediction healING days) score, calculate...

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Autores principales: Massari, Leo, Benazzo, Francesco, Falez, Francesco, Cadossi, Ruggero, Perugia, Dario, Pietrogrande, Luca, Aloj, Domenico Costantino, Capone, Antonio, D'Arienzo, Michele, Cadossi, Matteo, Lorusso, Vincenzo, Caruso, Gaetano, Ghiara, Matteo, Ciolli, Luigi, La Cava, Filippo, Guidi, Marco, Castoldi, Filippo, Marongiu, Giuseppe, La Gattuta, Alessandra, Dell'Omo, Dario, Scaglione, Michelangelo, Giannini, Sandro, Fortina, Mattia, Riva, Alberto, De Palma, Pier Luigi, Gigante, Antonio Pompilio, Moretti, Biagio, Solarino, Giuseppe, Lijoi, Francesco, Giordano, Giovanni, Londini, Pier Giorgio, Castellano, Danilo, Sessa, Giuseppe, Costarella, Luciano, Barile, Antonio, Borrelli, Mariano, Rota, Attilio, Fontana, Raffaele, Momoli, Alberto, Micaglio, Andrea, Bassi, Guido, Cornacchia, Rossano Stefano, Castelli, Claudio, Giudici, Michele, Monesi, Mauro, Branca Vergano, Luigi, Maniscalco, Pietro, Bulabula, M'Putu, Zottola, Vincenzo, Caraffa, Auro, Antinolfi, Pierluigi, Catani, Fabio, Severino, Claudio, Castaman, Enrico, Scialabba, Carmelo, Tovaglia, Venceslao, Corsi, Pietro, Friemel, Paolo, Ranellucci, Marco, Caiaffa, Vincenzo, Maraglino, Giovanni, Rossi, Roberto, Pastrone, Antonio, Caldora, Patrizio, Cusumano, Claudio, Squarzina, Pier Bruno, Baschieri, Ugo, Demattè, Ettore, Gherardi, Stefano, De Roberto, Carlo, Belluati, Alberto, Giannini, Antonio, Villani, Ciro, Persiani, Pietro, Demitri, Silvio, Di Maggio, Bruno, Abate, Guglielmo, De Terlizzi, Francesca, Setti, Stefania
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5952440/
https://www.ncbi.nlm.nih.gov/pubmed/29854729
http://dx.doi.org/10.1155/2018/1809091
_version_ 1783323183706800128
author Massari, Leo
Benazzo, Francesco
Falez, Francesco
Cadossi, Ruggero
Perugia, Dario
Pietrogrande, Luca
Aloj, Domenico Costantino
Capone, Antonio
D'Arienzo, Michele
Cadossi, Matteo
Lorusso, Vincenzo
Caruso, Gaetano
Ghiara, Matteo
Ciolli, Luigi
La Cava, Filippo
Guidi, Marco
Castoldi, Filippo
Marongiu, Giuseppe
La Gattuta, Alessandra
Dell'Omo, Dario
Scaglione, Michelangelo
Giannini, Sandro
Fortina, Mattia
Riva, Alberto
De Palma, Pier Luigi
Gigante, Antonio Pompilio
Moretti, Biagio
Solarino, Giuseppe
Lijoi, Francesco
Giordano, Giovanni
Londini, Pier Giorgio
Castellano, Danilo
Sessa, Giuseppe
Costarella, Luciano
Barile, Antonio
Borrelli, Mariano
Rota, Attilio
Fontana, Raffaele
Momoli, Alberto
Micaglio, Andrea
Bassi, Guido
Cornacchia, Rossano Stefano
Castelli, Claudio
Giudici, Michele
Monesi, Mauro
Branca Vergano, Luigi
Maniscalco, Pietro
Bulabula, M'Putu
Zottola, Vincenzo
Caraffa, Auro
Antinolfi, Pierluigi
Catani, Fabio
Severino, Claudio
Castaman, Enrico
Scialabba, Carmelo
Tovaglia, Venceslao
Corsi, Pietro
Friemel, Paolo
Ranellucci, Marco
Caiaffa, Vincenzo
Maraglino, Giovanni
Rossi, Roberto
Pastrone, Antonio
Caldora, Patrizio
Cusumano, Claudio
Squarzina, Pier Bruno
Baschieri, Ugo
Demattè, Ettore
Gherardi, Stefano
De Roberto, Carlo
Belluati, Alberto
Giannini, Antonio
Villani, Ciro
Persiani, Pietro
Demitri, Silvio
Di Maggio, Bruno
Abate, Guglielmo
De Terlizzi, Francesca
Setti, Stefania
author_facet Massari, Leo
Benazzo, Francesco
Falez, Francesco
Cadossi, Ruggero
Perugia, Dario
Pietrogrande, Luca
Aloj, Domenico Costantino
Capone, Antonio
D'Arienzo, Michele
Cadossi, Matteo
Lorusso, Vincenzo
Caruso, Gaetano
Ghiara, Matteo
Ciolli, Luigi
La Cava, Filippo
Guidi, Marco
Castoldi, Filippo
Marongiu, Giuseppe
La Gattuta, Alessandra
Dell'Omo, Dario
Scaglione, Michelangelo
Giannini, Sandro
Fortina, Mattia
Riva, Alberto
De Palma, Pier Luigi
Gigante, Antonio Pompilio
Moretti, Biagio
Solarino, Giuseppe
Lijoi, Francesco
Giordano, Giovanni
Londini, Pier Giorgio
Castellano, Danilo
Sessa, Giuseppe
Costarella, Luciano
Barile, Antonio
Borrelli, Mariano
Rota, Attilio
Fontana, Raffaele
Momoli, Alberto
Micaglio, Andrea
Bassi, Guido
Cornacchia, Rossano Stefano
Castelli, Claudio
Giudici, Michele
Monesi, Mauro
Branca Vergano, Luigi
Maniscalco, Pietro
Bulabula, M'Putu
Zottola, Vincenzo
Caraffa, Auro
Antinolfi, Pierluigi
Catani, Fabio
Severino, Claudio
Castaman, Enrico
Scialabba, Carmelo
Tovaglia, Venceslao
Corsi, Pietro
Friemel, Paolo
Ranellucci, Marco
Caiaffa, Vincenzo
Maraglino, Giovanni
Rossi, Roberto
Pastrone, Antonio
Caldora, Patrizio
Cusumano, Claudio
Squarzina, Pier Bruno
Baschieri, Ugo
Demattè, Ettore
Gherardi, Stefano
De Roberto, Carlo
Belluati, Alberto
Giannini, Antonio
Villani, Ciro
Persiani, Pietro
Demitri, Silvio
Di Maggio, Bruno
Abate, Guglielmo
De Terlizzi, Francesca
Setti, Stefania
author_sort Massari, Leo
collection PubMed
description BACKGROUND: Healing of tibia fractures occurs over a wide time range of months, with a number of risk factors contributing to prolonged healing. In this prospective, multicentre, observational study, we investigated the capability of FRACTING (tibia FRACTure prediction healING days) score, calculated soon after tibia fracture treatment, to predict healing time. METHODS: The study included 363 patients. Information on patient health, fracture morphology, and surgical treatment adopted were combined to calculate the FRACTING score. Fractures were considered healed when the patient was able to fully weight-bear without pain. RESULTS: 319 fractures (88%) healed within 12 months from treatment. Forty-four fractures healed after 12 months or underwent a second surgery. FRACTING score positively correlated with days to healing: r = 0.63 (p < 0.0001). Average score value was 7.3 ± 2.5; ROC analysis showed strong reliability of the score in separating patients healing before versus after 6 months: AUC = 0.823. CONCLUSIONS: This study shows that the FRACTING score can be employed both to predict months needed for fracture healing and to identify immediately after treatment patients at risk of prolonged healing. In patients with high score values, new pharmacological and nonpharmacological treatments to enhance osteogenesis could be tested selectively, which may finally result in reduced disability time and health cost savings.
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spelling pubmed-59524402018-05-31 Can Clinical and Surgical Parameters Be Combined to Predict How Long It Will Take a Tibia Fracture to Heal? A Prospective Multicentre Observational Study: The FRACTING Study Massari, Leo Benazzo, Francesco Falez, Francesco Cadossi, Ruggero Perugia, Dario Pietrogrande, Luca Aloj, Domenico Costantino Capone, Antonio D'Arienzo, Michele Cadossi, Matteo Lorusso, Vincenzo Caruso, Gaetano Ghiara, Matteo Ciolli, Luigi La Cava, Filippo Guidi, Marco Castoldi, Filippo Marongiu, Giuseppe La Gattuta, Alessandra Dell'Omo, Dario Scaglione, Michelangelo Giannini, Sandro Fortina, Mattia Riva, Alberto De Palma, Pier Luigi Gigante, Antonio Pompilio Moretti, Biagio Solarino, Giuseppe Lijoi, Francesco Giordano, Giovanni Londini, Pier Giorgio Castellano, Danilo Sessa, Giuseppe Costarella, Luciano Barile, Antonio Borrelli, Mariano Rota, Attilio Fontana, Raffaele Momoli, Alberto Micaglio, Andrea Bassi, Guido Cornacchia, Rossano Stefano Castelli, Claudio Giudici, Michele Monesi, Mauro Branca Vergano, Luigi Maniscalco, Pietro Bulabula, M'Putu Zottola, Vincenzo Caraffa, Auro Antinolfi, Pierluigi Catani, Fabio Severino, Claudio Castaman, Enrico Scialabba, Carmelo Tovaglia, Venceslao Corsi, Pietro Friemel, Paolo Ranellucci, Marco Caiaffa, Vincenzo Maraglino, Giovanni Rossi, Roberto Pastrone, Antonio Caldora, Patrizio Cusumano, Claudio Squarzina, Pier Bruno Baschieri, Ugo Demattè, Ettore Gherardi, Stefano De Roberto, Carlo Belluati, Alberto Giannini, Antonio Villani, Ciro Persiani, Pietro Demitri, Silvio Di Maggio, Bruno Abate, Guglielmo De Terlizzi, Francesca Setti, Stefania Biomed Res Int Research Article BACKGROUND: Healing of tibia fractures occurs over a wide time range of months, with a number of risk factors contributing to prolonged healing. In this prospective, multicentre, observational study, we investigated the capability of FRACTING (tibia FRACTure prediction healING days) score, calculated soon after tibia fracture treatment, to predict healing time. METHODS: The study included 363 patients. Information on patient health, fracture morphology, and surgical treatment adopted were combined to calculate the FRACTING score. Fractures were considered healed when the patient was able to fully weight-bear without pain. RESULTS: 319 fractures (88%) healed within 12 months from treatment. Forty-four fractures healed after 12 months or underwent a second surgery. FRACTING score positively correlated with days to healing: r = 0.63 (p < 0.0001). Average score value was 7.3 ± 2.5; ROC analysis showed strong reliability of the score in separating patients healing before versus after 6 months: AUC = 0.823. CONCLUSIONS: This study shows that the FRACTING score can be employed both to predict months needed for fracture healing and to identify immediately after treatment patients at risk of prolonged healing. In patients with high score values, new pharmacological and nonpharmacological treatments to enhance osteogenesis could be tested selectively, which may finally result in reduced disability time and health cost savings. Hindawi 2018-04-30 /pmc/articles/PMC5952440/ /pubmed/29854729 http://dx.doi.org/10.1155/2018/1809091 Text en Copyright © 2018 Leo Massari et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Massari, Leo
Benazzo, Francesco
Falez, Francesco
Cadossi, Ruggero
Perugia, Dario
Pietrogrande, Luca
Aloj, Domenico Costantino
Capone, Antonio
D'Arienzo, Michele
Cadossi, Matteo
Lorusso, Vincenzo
Caruso, Gaetano
Ghiara, Matteo
Ciolli, Luigi
La Cava, Filippo
Guidi, Marco
Castoldi, Filippo
Marongiu, Giuseppe
La Gattuta, Alessandra
Dell'Omo, Dario
Scaglione, Michelangelo
Giannini, Sandro
Fortina, Mattia
Riva, Alberto
De Palma, Pier Luigi
Gigante, Antonio Pompilio
Moretti, Biagio
Solarino, Giuseppe
Lijoi, Francesco
Giordano, Giovanni
Londini, Pier Giorgio
Castellano, Danilo
Sessa, Giuseppe
Costarella, Luciano
Barile, Antonio
Borrelli, Mariano
Rota, Attilio
Fontana, Raffaele
Momoli, Alberto
Micaglio, Andrea
Bassi, Guido
Cornacchia, Rossano Stefano
Castelli, Claudio
Giudici, Michele
Monesi, Mauro
Branca Vergano, Luigi
Maniscalco, Pietro
Bulabula, M'Putu
Zottola, Vincenzo
Caraffa, Auro
Antinolfi, Pierluigi
Catani, Fabio
Severino, Claudio
Castaman, Enrico
Scialabba, Carmelo
Tovaglia, Venceslao
Corsi, Pietro
Friemel, Paolo
Ranellucci, Marco
Caiaffa, Vincenzo
Maraglino, Giovanni
Rossi, Roberto
Pastrone, Antonio
Caldora, Patrizio
Cusumano, Claudio
Squarzina, Pier Bruno
Baschieri, Ugo
Demattè, Ettore
Gherardi, Stefano
De Roberto, Carlo
Belluati, Alberto
Giannini, Antonio
Villani, Ciro
Persiani, Pietro
Demitri, Silvio
Di Maggio, Bruno
Abate, Guglielmo
De Terlizzi, Francesca
Setti, Stefania
Can Clinical and Surgical Parameters Be Combined to Predict How Long It Will Take a Tibia Fracture to Heal? A Prospective Multicentre Observational Study: The FRACTING Study
title Can Clinical and Surgical Parameters Be Combined to Predict How Long It Will Take a Tibia Fracture to Heal? A Prospective Multicentre Observational Study: The FRACTING Study
title_full Can Clinical and Surgical Parameters Be Combined to Predict How Long It Will Take a Tibia Fracture to Heal? A Prospective Multicentre Observational Study: The FRACTING Study
title_fullStr Can Clinical and Surgical Parameters Be Combined to Predict How Long It Will Take a Tibia Fracture to Heal? A Prospective Multicentre Observational Study: The FRACTING Study
title_full_unstemmed Can Clinical and Surgical Parameters Be Combined to Predict How Long It Will Take a Tibia Fracture to Heal? A Prospective Multicentre Observational Study: The FRACTING Study
title_short Can Clinical and Surgical Parameters Be Combined to Predict How Long It Will Take a Tibia Fracture to Heal? A Prospective Multicentre Observational Study: The FRACTING Study
title_sort can clinical and surgical parameters be combined to predict how long it will take a tibia fracture to heal? a prospective multicentre observational study: the fracting study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5952440/
https://www.ncbi.nlm.nih.gov/pubmed/29854729
http://dx.doi.org/10.1155/2018/1809091
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AT abateguglielmo canclinicalandsurgicalparametersbecombinedtopredicthowlongitwilltakeatibiafracturetohealaprospectivemulticentreobservationalstudythefractingstudy
AT deterlizzifrancesca canclinicalandsurgicalparametersbecombinedtopredicthowlongitwilltakeatibiafracturetohealaprospectivemulticentreobservationalstudythefractingstudy
AT settistefania canclinicalandsurgicalparametersbecombinedtopredicthowlongitwilltakeatibiafracturetohealaprospectivemulticentreobservationalstudythefractingstudy