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Nomogram model to predict postoperative infection after mandibular osteoradionecrosis surgery

机译:用线型图模型预测下颌骨放射性骨坏死手术后的感染

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摘要

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  ⩾ 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.
机译:下颌骨放射性骨坏死(ORNM)是放疗最可怕的并发症之一。放射后软组织的不良愈合能力可能导致手术失败。当前的研究旨在确定术后感染(PPI)的预后因素,并提出相应的预防和干预措施。回顾性研究了2000年至2015年的ORNM患者。建立了风险分层评分和列线图模型以预测PPI的风险。共分析了257例患者,PPI的总发生率为23.3%(60/257)。在多元logistic回归分析中,放射剂量为80 Gy(相对于<80 Gy,OR = 2.044,P = 0.035,95%CI:1.05-3.979),双边ORNM(相对于单侧,OR = 4.120,P = 0.006,95% CI:1.501–11.307),皮肤瘘(无,OR = 3.078,P = 0.040,95%CI:1.05–9.023),以及种植体利用率(无,OR = 2.115,P = 0.020,95%CI:1.125 –3.976)与PPI显着相关。风险分层评分为14–22的患者对PPI的敏感性是7–13评分的患者的2.833倍,是0–6评分的患者的7.585倍。使用ROC曲线(AUC为0.708)估计列线图模型的辨别能力,从而揭示了潜在有用的预测能力。总之,当前的风险分层评分和列线图模型可以有效预测ORNM患者的PPI风险。

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