Nomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery

Abstract Osteoradionecrosis of the mandible (ORNM) is one of the most dreaded complications of radiotherapy. The poor healing capacity of soft tissue after radiation may lead to surgical failure. The current study was designed to identify prognostic factors for postoperative infection (PPI) and prop...

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Autores principales:	Zhonglong Liu, Tianguo Dai, Zhonghe Wang, Zhiyuan Zhang, Weiliu Qiu, Yue He
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/1b1b38d9ec2a47cd866696683310f260
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spelling	oai:doaj.org-article:1b1b38d9ec2a47cd866696683310f2602021-12-02T15:05:07ZNomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery10.1038/s41598-017-03672-22045-2322https://doaj.org/article/1b1b38d9ec2a47cd866696683310f2602017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03672-2https://doaj.org/toc/2045-2322Abstract Osteoradionecrosis of the mandible (ORNM) is one of the most dreaded complications of radiotherapy. The poor healing capacity of soft tissue after radiation may lead to surgical failure. The current study was designed to identify prognostic factors for postoperative infection (PPI) and propose corresponding prophylaxis and intervention protocols. A retrospective study was conducted concerning ORNM patients from 2000 to 2015. A risk-stratification score and nomogram model were established to predict the risk of PPI. A total of 257 patients were analyzed, and the total incidence of PPI was 23.3% (60/257). In multiple logistic regression analysis, radiation dose $$\geqslant $$ ⩾ 80 Gy (versus <80 Gy, OR = 2.044, P = 0.035, 95% CI: 1.05–3.979), bilateral ORNM (versus unilateral, OR = 4.120, P = 0.006, 95% CI: 1.501–11.307), skin fistula (versus none, OR = 3.078, P = 0.040, 95% CI: 1.05–9.023), and implant utilization (versus none, OR = 2.115, P = 0.020, 95% CI: 1.125–3.976) were significantly associated with PPI. The susceptibility to PPI in patients with risk-stratification scores of 14–22 was 2.833 times that of patients with scores of 7–13, and 7.585 times that of cases defined as scores of 0–6. The discrimination capability of the nomogram model was estimated using a ROC curve with an AUC of 0.708, revealing potentially useful predictive abilities. In conclusion, current risk-stratification scores and nomogram models effectively predicted the risk of PPI in ORNM patients.Zhonglong LiuTianguo DaiZhonghe WangZhiyuan ZhangWeiliu QiuYue HeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Zhonglong Liu Tianguo Dai Zhonghe Wang Zhiyuan Zhang Weiliu Qiu Yue He Nomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery
description	Abstract Osteoradionecrosis of the mandible (ORNM) is one of the most dreaded complications of radiotherapy. The poor healing capacity of soft tissue after radiation may lead to surgical failure. The current study was designed to identify prognostic factors for postoperative infection (PPI) and propose corresponding prophylaxis and intervention protocols. A retrospective study was conducted concerning ORNM patients from 2000 to 2015. A risk-stratification score and nomogram model were established to predict the risk of PPI. A total of 257 patients were analyzed, and the total incidence of PPI was 23.3% (60/257). In multiple logistic regression analysis, radiation dose $$\geqslant $$ ⩾ 80 Gy (versus <80 Gy, OR = 2.044, P = 0.035, 95% CI: 1.05–3.979), bilateral ORNM (versus unilateral, OR = 4.120, P = 0.006, 95% CI: 1.501–11.307), skin fistula (versus none, OR = 3.078, P = 0.040, 95% CI: 1.05–9.023), and implant utilization (versus none, OR = 2.115, P = 0.020, 95% CI: 1.125–3.976) were significantly associated with PPI. The susceptibility to PPI in patients with risk-stratification scores of 14–22 was 2.833 times that of patients with scores of 7–13, and 7.585 times that of cases defined as scores of 0–6. The discrimination capability of the nomogram model was estimated using a ROC curve with an AUC of 0.708, revealing potentially useful predictive abilities. In conclusion, current risk-stratification scores and nomogram models effectively predicted the risk of PPI in ORNM patients.
format	article
author	Zhonglong Liu Tianguo Dai Zhonghe Wang Zhiyuan Zhang Weiliu Qiu Yue He
author_facet	Zhonglong Liu Tianguo Dai Zhonghe Wang Zhiyuan Zhang Weiliu Qiu Yue He
author_sort	Zhonglong Liu
title	Nomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery
title_short	Nomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery
title_full	Nomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery
title_fullStr	Nomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery
title_full_unstemmed	Nomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery
title_sort	nomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/1b1b38d9ec2a47cd866696683310f260
work_keys_str_mv	AT zhonglongliu nomogrammodeltopredictpostoperativeinfectionaftermandibularosteoradionecrosissurgery AT tianguodai nomogrammodeltopredictpostoperativeinfectionaftermandibularosteoradionecrosissurgery AT zhonghewang nomogrammodeltopredictpostoperativeinfectionaftermandibularosteoradionecrosissurgery AT zhiyuanzhang nomogrammodeltopredictpostoperativeinfectionaftermandibularosteoradionecrosissurgery AT weiliuqiu nomogrammodeltopredictpostoperativeinfectionaftermandibularosteoradionecrosissurgery AT yuehe nomogrammodeltopredictpostoperativeinfectionaftermandibularosteoradionecrosissurgery
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Nomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery

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