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Can a combination of different risk factors be correlated with leg fracture healing time?
BACKGROUND: A multicenter retrospective analysis of patients treated for leg fractures was conducted to develop a score that correlates with fracture healing time and to identify the risk gradient for delayed healing. METHODS: Fifty-three patients were analyzed and considered healed when full weight...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585952/ https://www.ncbi.nlm.nih.gov/pubmed/23179083 http://dx.doi.org/10.1007/s10195-012-0218-7 |
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author | Massari, Leo Falez, Francesco Lorusso, Vincenzo Zanon, Giacomo Ciolli, Luigi La Cava, Filippo Cadossi, Matteo Chiarello, Eugenio De Terlizzi, Francesca Setti, Stefania Benazzo, Francesco Maria |
author_facet | Massari, Leo Falez, Francesco Lorusso, Vincenzo Zanon, Giacomo Ciolli, Luigi La Cava, Filippo Cadossi, Matteo Chiarello, Eugenio De Terlizzi, Francesca Setti, Stefania Benazzo, Francesco Maria |
author_sort | Massari, Leo |
collection | PubMed |
description | BACKGROUND: A multicenter retrospective analysis of patients treated for leg fractures was conducted to develop a score that correlates with fracture healing time and to identify the risk gradient for delayed healing. METHODS: Fifty-three patients were analyzed and considered healed when full weight bearing was possible. Patients were divided into those who healed within 180 days and those who took longer to heal. Risk factors associated with delayed healing, fracture morphology, and orthopedic treatments were recorded. The available literature was used to weight the relative risk associated with each factor; values were combined into a score evaluating the risk of delayed healing: L-ARRCO (a literature-based score where the risk of delayed bone healing is calculated using a specific algorithm). Other risk factors associated with delayed healing were then considered in order to calculate a new score, ARRCO. Continuous variables were compared between groups using Student’s heteroschedastic two-tail t test. Receiver operating characteristic (ROC) curves and the areas under the curves were calculated to determine the ability of this score to discriminate subjects with delayed healing. RESULTS: The mean L-ARRCO scores of the patients who healed within and after 180 days were significantly different (5.78 ± 1.59 and 7.05 ± 2.46, respectively). The mean ARRCO scores of the patients who healed within and after 180 days were also significantly different (5.92 ± 1.78 and 9.03 ± 2.79, respectively). However, the area under the ROC curve was significantly smaller for L-ARRCO than for ARRCO (0.62 ± 0.09 versus 0.82 ± 0.07). CONCLUSIONS: The ARRCO score is significantly associated with fracture healing time and could be used to identify “fractures at risk,” allowing early intervention to stimulate osteogenesis. |
format | Online Article Text |
id | pubmed-3585952 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-35859522013-03-07 Can a combination of different risk factors be correlated with leg fracture healing time? Massari, Leo Falez, Francesco Lorusso, Vincenzo Zanon, Giacomo Ciolli, Luigi La Cava, Filippo Cadossi, Matteo Chiarello, Eugenio De Terlizzi, Francesca Setti, Stefania Benazzo, Francesco Maria J Orthop Traumatol Original Article BACKGROUND: A multicenter retrospective analysis of patients treated for leg fractures was conducted to develop a score that correlates with fracture healing time and to identify the risk gradient for delayed healing. METHODS: Fifty-three patients were analyzed and considered healed when full weight bearing was possible. Patients were divided into those who healed within 180 days and those who took longer to heal. Risk factors associated with delayed healing, fracture morphology, and orthopedic treatments were recorded. The available literature was used to weight the relative risk associated with each factor; values were combined into a score evaluating the risk of delayed healing: L-ARRCO (a literature-based score where the risk of delayed bone healing is calculated using a specific algorithm). Other risk factors associated with delayed healing were then considered in order to calculate a new score, ARRCO. Continuous variables were compared between groups using Student’s heteroschedastic two-tail t test. Receiver operating characteristic (ROC) curves and the areas under the curves were calculated to determine the ability of this score to discriminate subjects with delayed healing. RESULTS: The mean L-ARRCO scores of the patients who healed within and after 180 days were significantly different (5.78 ± 1.59 and 7.05 ± 2.46, respectively). The mean ARRCO scores of the patients who healed within and after 180 days were also significantly different (5.92 ± 1.78 and 9.03 ± 2.79, respectively). However, the area under the ROC curve was significantly smaller for L-ARRCO than for ARRCO (0.62 ± 0.09 versus 0.82 ± 0.07). CONCLUSIONS: The ARRCO score is significantly associated with fracture healing time and could be used to identify “fractures at risk,” allowing early intervention to stimulate osteogenesis. Springer International Publishing 2012-11-22 2013-03 /pmc/articles/PMC3585952/ /pubmed/23179083 http://dx.doi.org/10.1007/s10195-012-0218-7 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Original Article Massari, Leo Falez, Francesco Lorusso, Vincenzo Zanon, Giacomo Ciolli, Luigi La Cava, Filippo Cadossi, Matteo Chiarello, Eugenio De Terlizzi, Francesca Setti, Stefania Benazzo, Francesco Maria Can a combination of different risk factors be correlated with leg fracture healing time? |
title | Can a combination of different risk factors be correlated with leg fracture healing time? |
title_full | Can a combination of different risk factors be correlated with leg fracture healing time? |
title_fullStr | Can a combination of different risk factors be correlated with leg fracture healing time? |
title_full_unstemmed | Can a combination of different risk factors be correlated with leg fracture healing time? |
title_short | Can a combination of different risk factors be correlated with leg fracture healing time? |
title_sort | can a combination of different risk factors be correlated with leg fracture healing time? |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585952/ https://www.ncbi.nlm.nih.gov/pubmed/23179083 http://dx.doi.org/10.1007/s10195-012-0218-7 |
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