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

Michele D'Arienzo; Domenico Costantino Aloj; Mattia Fortina; Stefania Setti; Giuseppe Sessa; Antonio Capone; Matteo Cadossi; Pierluigi Antinolfi; Claudio Cusumano; Leo Massari; Ciro Villani; Antonio Pastrone; Alberto Riva; Vincenzo Lorusso; Dario Dell'Omo; Giuseppe Marongiu; Pietro Maniscalco; Matteo Ghiara; Auro Caraffa; Marco Guidi; Filippo La Cava; Roberto Rossi; Alberto Momoli; Attilio Rota; Giovanni Giordano; Ruggero Cadossi; Pier Luigi De Palma; Giovanni Maraglino; M'Putu Bulabula; Carlo De Roberto; Danilo Castellano; Claudio Cusumano; Rossano Stefano Cornacchia; Antonio Giannini; Michele Giudici; Mariano Borrelli; Marco Ranellucci; Ettore Demattè; Guglielmo Abate; Carmelo Scialabba; Guido Bassi; Ugo Baschieri; Silvio Demitri; Pietro Corsi; Raffaele Fontana; Paolo Friemel; Antonio Barile; Stefano Gherardi; Claudio Severino; Patrizio Caldora; Alberto Belluati; Pierluigi Antinolfi; Luigi Ciolli; Auro Caraffa; Giovanni Giordano; Claudio Castelli; Silvio Demitri; Raffaele Fontana; Bruno Di Maggio; Pier Giorgio Londini; Andrea Micaglio; Venceslao Tovaglia; Luigi Branca Vergano; Luciano Costarella; Luigi Ciolli; Vincenzo Caiaffa; Vincenzo Zottola; Patrizio Caldora; Dario Perugia; Enrico Castaman; Francesco Lijoi; Luca Pietrogrande; Pier Bruno Squarzina; Mauro Monesi; Francesco Falez; Francesca De Terlizzi; Pietro Persiani; Giuseppe Solarino; Fabio Catani; Biagio Moretti; Antonio Pompilio Gigante; Filippo Castoldi; Francesco Benazzo; Claudio Castelli; Michelangelo Scaglione; Sandro Giannini; Gaetano Caruso; Raffaele Fontana; Silvio Demitri; Alessandra La Gattuta; Claudio Cusumano; Pietro Maniscalco

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

Michele D'Arienzo, Domenico Costantino Aloj, Mattia Fortina, Stefania Setti, Giuseppe Sessa, Antonio Capone, Matteo Cadossi, Pierluigi Antinolfi, Claudio Cusumano, Leo Massari, Ciro Villani, Antonio Pastrone, Alberto Riva, Vincenzo Lorusso, Dario Dell'Omo, Giuseppe Marongiu, Pietro Maniscalco, Matteo Ghiara, Auro Caraffa, Marco GuidiFilippo La Cava, Roberto Rossi, Alberto Momoli, Attilio Rota, Giovanni Giordano, Ruggero Cadossi, Pier Luigi De Palma, Giovanni Maraglino, M'Putu Bulabula, Carlo De Roberto, Danilo Castellano, Claudio Cusumano, Rossano Stefano Cornacchia, Antonio Giannini, Michele Giudici, Mariano Borrelli, Marco Ranellucci, Ettore Demattè, Guglielmo Abate, Carmelo Scialabba, Guido Bassi, Ugo Baschieri, Silvio Demitri, Pietro Corsi, Raffaele Fontana, Paolo Friemel, Antonio Barile, Stefano Gherardi, Claudio Severino, Patrizio Caldora, Alberto Belluati, Pierluigi Antinolfi, Luigi Ciolli, Auro Caraffa, Giovanni Giordano, Claudio Castelli, Silvio Demitri, Raffaele Fontana, Bruno Di Maggio, Pier Giorgio Londini, Andrea Micaglio, Venceslao Tovaglia, Luigi Branca Vergano, Luciano Costarella, Luigi Ciolli, Vincenzo Caiaffa, Vincenzo Zottola, Patrizio Caldora, Dario Perugia, Enrico Castaman, Francesco Lijoi, Luca Pietrogrande, Pier Bruno Squarzina, Mauro Monesi, Francesco Falez, Francesca De Terlizzi, Pietro Persiani, Giuseppe Solarino, Fabio Catani, Biagio Moretti, Antonio Pompilio Gigante, Filippo Castoldi, Francesco Benazzo, Claudio Castelli, Michelangelo Scaglione, Sandro Giannini, Gaetano Caruso, Raffaele Fontana, Silvio Demitri, Alessandra La Gattuta, Claudio Cusumano, Pietro Maniscalco

Discipline Chirurgiche, Oncologiche e Stomatologiche

Risultato della ricerca: Article › peer review

14 Citazioni (Scopus)

Abstract

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.

Lingua originale	English
Numero di pagine	0
Rivista	BioMed Research International
Volume	2018
Stato di pubblicazione	Published - 2018

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D'Arienzo, M., Aloj, D. C., Fortina, M., Setti, S., Sessa, G., Capone, A., Cadossi, M., Antinolfi, P., Cusumano, C., Massari, L., Villani, C., Pastrone, A., Riva, A., Lorusso, V., Dell'Omo, D., Marongiu, G., Maniscalco, P., Ghiara, M., Caraffa, A., ... Maniscalco, P. (2018). 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. BioMed Research International, 2018.

D'Arienzo, M, Aloj, DC, Fortina, M, Setti, S, Sessa, G, Capone, A, Cadossi, M, Antinolfi, P, Cusumano, C, Massari, L, Villani, C, Pastrone, A, Riva, A, Lorusso, V, Dell'Omo, D, Marongiu, G, Maniscalco, P, Ghiara, M, Caraffa, A, Guidi, M, La Cava, F, Rossi, R, Momoli, A, Rota, A, Giordano, G, Cadossi, R, De Palma, PL, Maraglino, G, Bulabula, MP, De Roberto, C, Castellano, D, Cusumano, C, Cornacchia, RS, Giannini, A, Giudici, M, Borrelli, M, Ranellucci, M, Demattè, E, Abate, G, Scialabba, C, Bassi, G, Baschieri, U, Demitri, S, Corsi, P, Fontana, R, Friemel, P, Barile, A, Gherardi, S, Severino, C, Caldora, P, Belluati, A, Antinolfi, P, Ciolli, L, Caraffa, A, Giordano, G, Castelli, C, Demitri, S, Fontana, R, Di Maggio, B, Londini, PG, Micaglio, A, Tovaglia, V, Branca Vergano, L, Costarella, L, Ciolli, L, Caiaffa, V, Zottola, V, Caldora, P, Perugia, D, Castaman, E, Lijoi, F, Pietrogrande, L, Squarzina, PB, Monesi, M, Falez, F, De Terlizzi, F, Persiani, P, Solarino, G, Catani, F, Moretti, B, Gigante, AP, Castoldi, F, Benazzo, F, Castelli, C, Scaglione, M, Giannini, S, Caruso, G, Fontana, R, Demitri, S, La Gattuta, A, Cusumano, C & Maniscalco, P 2018, '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', BioMed Research International, vol. 2018.

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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",

abstract = "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.",

author = "Michele D'Arienzo and Aloj, {Domenico Costantino} and Mattia Fortina and Stefania Setti and Giuseppe Sessa and Antonio Capone and Matteo Cadossi and Pierluigi Antinolfi and Claudio Cusumano and Leo Massari and Ciro Villani and Antonio Pastrone and Alberto Riva and Vincenzo Lorusso and Dario Dell'Omo and Giuseppe Marongiu and Pietro Maniscalco and Matteo Ghiara and Auro Caraffa and Marco Guidi and {La Cava}, Filippo and Roberto Rossi and Alberto Momoli and Attilio Rota and Giovanni Giordano and Ruggero Cadossi and {De Palma}, {Pier Luigi} and Giovanni Maraglino and M'Putu Bulabula and {De Roberto}, Carlo and Danilo Castellano and Claudio Cusumano and Cornacchia, {Rossano Stefano} and Antonio Giannini and Michele Giudici and Mariano Borrelli and Marco Ranellucci and Ettore Dematt{\`e} and Guglielmo Abate and Carmelo Scialabba and Guido Bassi and Ugo Baschieri and Silvio Demitri and Pietro Corsi and Raffaele Fontana and Paolo Friemel and Antonio Barile and Stefano Gherardi and Claudio Severino and Patrizio Caldora and Alberto Belluati and Pierluigi Antinolfi and Luigi Ciolli and Auro Caraffa and Giovanni Giordano and Claudio Castelli and Silvio Demitri and Raffaele Fontana and {Di Maggio}, Bruno and Londini, {Pier Giorgio} and Andrea Micaglio and Venceslao Tovaglia and {Branca Vergano}, Luigi and Luciano Costarella and Luigi Ciolli and Vincenzo Caiaffa and Vincenzo Zottola and Patrizio Caldora and Dario Perugia and Enrico Castaman and Francesco Lijoi and Luca Pietrogrande and Squarzina, {Pier Bruno} and Mauro Monesi and Francesco Falez and {De Terlizzi}, Francesca and Pietro Persiani and Giuseppe Solarino and Fabio Catani and Biagio Moretti and Gigante, {Antonio Pompilio} and Filippo Castoldi and Francesco Benazzo and Claudio Castelli and Michelangelo Scaglione and Sandro Giannini and Gaetano Caruso and Raffaele Fontana and Silvio Demitri and {La Gattuta}, Alessandra and Claudio Cusumano and Pietro Maniscalco",

year = "2018",

language = "English",

volume = "2018",

journal = "BioMed Research International",

issn = "2314-6133",

publisher = "Hindawi Publishing Corporation",

}

TY - JOUR

T1 - 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

AU - D'Arienzo, Michele

AU - Aloj, Domenico Costantino

AU - Fortina, Mattia

AU - Setti, Stefania

AU - Sessa, Giuseppe

AU - Capone, Antonio

AU - Cadossi, Matteo

AU - Antinolfi, Pierluigi

AU - Cusumano, Claudio

AU - Massari, Leo

AU - Villani, Ciro

AU - Pastrone, Antonio

AU - Riva, Alberto

AU - Lorusso, Vincenzo

AU - Dell'Omo, Dario

AU - Marongiu, Giuseppe

AU - Maniscalco, Pietro

AU - Ghiara, Matteo

AU - Caraffa, Auro

AU - Guidi, Marco

AU - La Cava, Filippo

AU - Rossi, Roberto

AU - Momoli, Alberto

AU - Rota, Attilio

AU - Giordano, Giovanni

AU - Cadossi, Ruggero

AU - De Palma, Pier Luigi

AU - Maraglino, Giovanni

AU - Bulabula, M'Putu

AU - De Roberto, Carlo

AU - Castellano, Danilo

AU - Cusumano, Claudio

AU - Cornacchia, Rossano Stefano

AU - Giannini, Antonio

AU - Giudici, Michele

AU - Borrelli, Mariano

AU - Ranellucci, Marco

AU - Demattè, Ettore

AU - Abate, Guglielmo

AU - Scialabba, Carmelo

AU - Bassi, Guido

AU - Baschieri, Ugo

AU - Demitri, Silvio

AU - Corsi, Pietro

AU - Fontana, Raffaele

AU - Friemel, Paolo

AU - Barile, Antonio

AU - Gherardi, Stefano

AU - Severino, Claudio

AU - Caldora, Patrizio

AU - Belluati, Alberto

AU - Antinolfi, Pierluigi

AU - Ciolli, Luigi

AU - Caraffa, Auro

AU - Giordano, Giovanni

AU - Castelli, Claudio

AU - Demitri, Silvio

AU - Fontana, Raffaele

AU - Di Maggio, Bruno

AU - Londini, Pier Giorgio

AU - Micaglio, Andrea

AU - Tovaglia, Venceslao

AU - Branca Vergano, Luigi

AU - Costarella, Luciano

AU - Ciolli, Luigi

AU - Caiaffa, Vincenzo

AU - Zottola, Vincenzo

AU - Caldora, Patrizio

AU - Perugia, Dario

AU - Castaman, Enrico

AU - Lijoi, Francesco

AU - Pietrogrande, Luca

AU - Squarzina, Pier Bruno

AU - Monesi, Mauro

AU - Falez, Francesco

AU - De Terlizzi, Francesca

AU - Persiani, Pietro

AU - Solarino, Giuseppe

AU - Catani, Fabio

AU - Moretti, Biagio

AU - Gigante, Antonio Pompilio

AU - Castoldi, Filippo

AU - Benazzo, Francesco

AU - Castelli, Claudio

AU - Scaglione, Michelangelo

AU - Giannini, Sandro

AU - Caruso, Gaetano

AU - Fontana, Raffaele

AU - Demitri, Silvio

AU - La Gattuta, Alessandra

AU - Cusumano, Claudio

AU - Maniscalco, Pietro

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10447/291179

UR - http://www.hindawi.com/journals/biomed/

M3 - Article

SN - 2314-6133

VL - 2018

JO - BioMed Research International

JF - BioMed Research International

ER -

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

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