Department of Otolaryngology-Head and Neck Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Department of Biomedical Informatics and Center for Biostatistics, The Ohio State University, Columbus, OH, USA.
Ann Surg Oncol. 2021 Feb;28(2):877-885. doi: 10.1245/s10434-020-09326-4. Epub 2020 Nov 13.
The COVID-19 pandemic has required triage and delays in surgical care throughout the world. The impact of these surgical delays on survival for patients with head and neck squamous cell carcinoma (HNSCC) remains unknown.
A retrospective cohort study of 37 730 patients in the National Cancer Database with HNSCC who underwent primary surgical management from 2004 to 2016 was performed. Uni- and multivariate analyses were used to identify predictors of overall survival. Bootstrapping methods were used to identify optimal time-to-surgery (TTS) thresholds at which overall survival differences were greatest. Cox proportional hazard models with or without restricted cubic splines were used to determine the association between TTS and survival.
The study identified TTS as an independent predictor of overall survival (OS). Bootstrapping the data to dichotomize the cohort identified the largest rise in hazard ratio (HR) at day 67, which was used as the optimal TTS cut-point in survival analysis. The patients who underwent surgical treatment longer than 67 days after diagnosis had a significantly increased risk of death (HR, 1.189; 95% confidence interval [CI], 1.122-1.261; P < 0.0001). For every 30-day delay in TTS, the hazard of death increased by 4.6%. Subsite analysis showed that the oropharynx subsite was most affected by surgical delays, followed by the oral cavity.
Increasing TTS is an independent predictor of survival for patients with HNSCC and should be performed within 67 days after diagnosis to achieve optimal survival outcomes.
COVID-19 大流行要求在全球范围内对手术进行分类和延迟。这些手术延迟对头颈部鳞状细胞癌(HNSCC)患者的生存影响尚不清楚。
对 2004 年至 2016 年间在国家癌症数据库中接受原发性手术治疗的 37730 例 HNSCC 患者进行了回顾性队列研究。使用单变量和多变量分析来确定总生存率的预测因素。使用自举法确定总体生存率差异最大的最佳手术时间(TTS)阈值。使用带或不带限制立方样条的 Cox 比例风险模型来确定 TTS 与生存之间的关联。
研究发现 TTS 是总生存率(OS)的独立预测因素。通过自举将队列分为二项,发现风险比(HR)在第 67 天最大,这被用作生存分析中的最佳 TTS 截止值。诊断后接受手术治疗超过 67 天的患者死亡风险显著增加(HR,1.189;95%置信区间 [CI],1.122-1.261;P < 0.0001)。TTS 每延迟 30 天,死亡风险增加 4.6%。亚部位分析显示,口咽部位受手术延迟影响最大,其次是口腔。
TTS 增加是 HNSCC 患者生存的独立预测因素,应在诊断后 67 天内进行手术,以获得最佳生存结果。