合并症对晚期非远处转移性喉癌治疗(放化疗和喉切除术)的影响:来自国家癌症数据库(2003-2008)的16849例病例的回顾。

Jason Zhu, Stacey Fedewa, Amy Y Chen
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引用次数: 24

摘要

目的:探讨喉切除术患者是否比放化疗患者的合并症更少,这有助于解释近期研究中喉切除术患者生存率提高的原因。设计:观察性横断面研究。患者:2003年至2008年间接受原发性侵袭性晚期喉癌诊断的患者从国家癌症数据库中选择,该数据库收集了来自美国外科医师协会癌症委员会认可的1400多家机构的信息。患者水平的自变量包括诊断时的年龄、性别、诊断年份、种族/民族、主要付款人状况和邮政编码程度。主要观察指标:主要治疗信息。使用单变量统计和多变量模型分析治疗与患者临床、社会人口学、设施水平和邮政编码水平社会经济地位变量之间的关系。Charlson Deyo合并症和华盛顿大学头颈部合并症指数得分是根据医院的脸表计算的。结果:研究表明接受治疗(放化疗vs全喉切除术)与合并症显著相关。治疗与保险状况、种族/民族或年龄无显著相关性。在控制肿瘤分期、年龄、种族/民族、保险和社会经济地位等因素后,有合并症的患者接受放化疗的可能性低于小全喉切除术或全喉切除术,有一种或多种合并症的患者与无合并症的患者相比,风险比(RR)为0.84 (95% CI, 0.81-0.87)。如果患者患有IV期疾病,接受放化疗的可能性也低于全喉切除术(RR, 0.81;95% CI, 0.79-0.83),以及是否在教学或研究机构诊断(RR, 0.80;95% ci, 0.77-0.84)。2003年以后确诊的患者更有可能接受放化疗(RR, 1.37;95% CI, 1.30-1.45),或者如果他们生活在高中毕业生比例高的邮政编码地区(RR, 1.1;95% ci, 1.05-1.15)。结论:据我们所知,这是第一项研究,该研究表明,与没有任何合并症的患者相比,有一种或多种合并症的晚期喉癌患者更有可能接受手术而不是放化疗,独立于众多临床和非临床变量。本研究的一个局限性是使用了来自国家癌症数据库的合并症数据,该数据库从医院出院时的面部记录中收集信息。我们认识到国家癌症数据库可能是一个不完善的共病数据收集系统,并鼓励讨论不同的方法来改进该系统,包括纳入来自监测、流行病学和最终结果医疗保险数据库的共病数据和癌症登记员基于医疗图表的共病数据收集。
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The impact of comorbidity on treatment (chemoradiation and laryngectomy) of advanced, nondistant metastatic laryngeal cancer: a review of 16 849 cases from the national cancer database (2003-2008).

Objective: To investigate whether patients treated with laryngectomy had less comorbidity than those treated with chemoradiation, which could help explain the improved survival for the laryngectomy cohorts in recent studies.

Design: Observational cross-sectional study.

Patients: Patients receiving diagnoses of primary invasive advanced squamous cell carcinoma of the larynx between 2003 and 2008 were selected from the National Cancer Database, which collects information from more than 1400 facilities accredited by the American College of Surgeons' Commission on Cancer. Patient-level independent variables included age at diagnosis, sex, diagnosis year, race/ethnicity, primary payer status, and zip code-level education.

Main outcome measures: Primary treatment information. The association between treatment and patient clinical, sociodemographic, and facility-level and zip code-level socioeconomic status variables were analyzed using univariate statistics and multivariate models. Charlson Deyo Comorbidity and The Washington University Head and Neck Comorbidity Index scores were calculated from the hospital face sheet.

Results: The study demonstrated that receipt of treatment (chemoradiation vs total laryngectomy) was significantly associated with comorbidity. Treatment was not significantly associated with insurance status, race/ethnicity, or age. Patients with comorbidity were less likely to receive chemoradiation than subtotal or total laryngectomy, with a risk ratio (RR) of 0.84 (95% CI, 0.81-0.87) for patients with 1 or more comorbidities compared with those without any comorbidity, after controlling for factors such as tumor stage, age, race/ethnicity, insurance, and socioeconomic status. Patients were also less likely to receive chemoradiation than total laryngectomy if they had stage IV disease (RR, 0.81; 95% CI, 0.79-0.83) and if they had been diagnosed at a teaching or research institution (RR, 0.80; 95% CI, 0.77-0.84). Patients were more likely to receive chemoradiation if they were diagnosed after 2003 (RR, 1.37; 95% CI, 1.30-1.45) or if they lived in a zip code with a high percentage of high school graduates (RR, 1.1; 95% CI, 1.05-1.15).

Conclusions: This is the first study, to our knowledge, that demonstrates that patients with advanced laryngeal cancer with 1 or more comorbidities are more likely to receive surgery than chemoradiation compared with patients without any comorbidity, independent of numerous clinical and nonclinical variables among a large national cohort. A limitation of this study is the use of comorbidity data from the National Cancer Database, which gathers its information from hospital discharge face sheets. We recognize that the National Cancer Database may be an imperfect system for the collection of comorbidity data and encourage discussion on different methods to improve the system, including incorporating comorbidity data from the Surveillance, Epidemiology, and End Results Medicare Database and medical chart-based comorbidity data collection by cancer registrars.

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