Using Nomograms to Predict Patient Tolerance to High-Dose Cisplatin During Concurrent Chemoradiotherapy in Locoregionally Advanced Head and Neck Cancer.

IF 2.3 3区 医学 Q1 OTORHINOLARYNGOLOGY
Ming-Yu Lien, Chia-Yu Chen, Ching-Yun Hsieh, Ming-Hsui Tsai, Chun-Hung Hua, Wen-Hui Chung, Ti-Hao Wang
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引用次数: 0

Abstract

Background: Concurrent chemoradiotherapy (CCRT) with high-dose cisplatin is the standard treatment for locally advanced head and neck cancer (LA-HNC). However, some patients experience underdosing or severe side effects due to intolerance. That is, identifying patients who can tolerate high-dose cisplatin remains challenging.

Methods: This study aims to develop a prediction nomogram to identify patients tolerating high cumulative cisplatin dose (CCD ≥ 200 mg/m2) during CCRT. The collected data of 1020 patients who received cisplatin-based definitive CCRT between 2010 and 2019 in a Taiwanese medical center were retrospectively reviewed.

Results: A prediction model was developed using stepwise multivariable logistic regression and evaluated for accuracy. A nomogram was created to predict the likelihood of completing a CCD ≥ 200 mg/m2, and its performance was assessed using various measures. The higher CCD group had better-experienced status and median body mass index than the lower CCD group (p < 0.001 for both comparisons). Univariate analysis identified several risk factors for high-dose cisplatin intolerance, including old age, tumor site, the nasopharynx, stage IV disease, Charlson Comorbidity Index (CCI) ≥ 3, and weekly cisplatin (p < 0.001 for all). Multivariate logistic regression analysis revealed that age, tumor site, stage IV disease, and hemoglobin level strongly predicted high-dose cisplatin intolerance. The nomogram showed good predictive accuracy with a Brier score of 0.18, C-index of 0.71, calibration curve slope of 0.95, and intercept of 0.2. Similar values were observed in the non-nasopharyngeal carcinoma subgroup.

Conclusions: Our nomogram model identified patients who can tolerate higher cisplatin doses, showing predictive accuracy after internal validation. Developed using pretreatment characteristics like age, clinical stage, tumor size, and hemoglobin level, it predicts tolerability for CCD ≥ 200 mg/m2. This method helps select patients for high-dose cisplatin, enabling confident prescription of three-weekly or weekly dosing to improve survival outcomes. Further prospective research is needed for a comprehensive nomogram.

应用nomogram预测局部晚期头颈癌同步放化疗期间患者对大剂量顺铂的耐受性
背景:大剂量顺铂同步放化疗(CCRT)是局部晚期头颈癌(LA-HNC)的标准治疗方法。然而,由于不耐受,一些患者会出现剂量不足或严重的副作用。也就是说,确定能够耐受大剂量顺铂的患者仍然具有挑战性。方法:本研究旨在建立一种预测图,以识别CCRT期间高累积顺铂剂量(CCD≥200mg /m2)耐受患者。回顾性分析了2010年至2019年台湾某医疗中心1020例接受顺铂为基础的终期CCRT患者的数据。结果:采用逐步多变量logistic回归建立了预测模型,并对其准确性进行了评价。建立了一个图来预测完成≥200mg /m2的CCD的可能性,并使用各种措施评估其性能。高CCD组比低CCD组有更好的经验状态和中位体重指数(p)。结论:我们的nomogram模型识别出能够耐受更高顺铂剂量的患者,在内部验证后显示出预测的准确性。采用年龄、临床分期、肿瘤大小、血红蛋白水平等预处理特征,预测CCD耐受性≥200mg /m2。这种方法有助于选择高剂量顺铂的患者,使每三周或每周给药的处方更有信心,以改善生存结果。进一步的前瞻性研究需要一个全面的nomogram。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.00
自引率
6.90%
发文量
278
审稿时长
1.6 months
期刊介绍: Head & Neck is an international multidisciplinary publication of original contributions concerning the diagnosis and management of diseases of the head and neck. This area involves the overlapping interests and expertise of several surgical and medical specialties, including general surgery, neurosurgery, otolaryngology, plastic surgery, oral surgery, dermatology, ophthalmology, pathology, radiotherapy, medical oncology, and the corresponding basic sciences.
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