Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, NY, USA.
Department of Medical Oncology, Sidney Kimmel Cancer Center at Jefferson, Sidney Kimmel Medical College, 834 Chestnut Street, Philadelphia, PA, 19107, USA.
BMC Cancer. 2022 Jun 22;22(1):688. doi: 10.1186/s12885-022-09751-6.
While often life-saving, treatment for head and neck cancer (HNC) can be debilitating resulting in unplanned hospitalization. Hospitalizations in cancer patients may disrupt treatment and result in poor outcomes. Pre-treatment muscle quality and quantity ascertained through diagnostic imaging may help identify patients at high risk of poor outcomes early. The primary objective of this study was to determine if pre-treatment musculature was associated with all-cause mortality.
Patient demographic and clinical characteristics were abstracted from the cancer center electronic database (n = 403). Musculature was ascertained from pre-treatment CT scans. Propensity score matching was utilized to adjust for confounding bias when comparing patients with and without myosteatosis and with and without low muscle mass (LMM). Overall survival (OS) was evaluated using the Kaplan-Meier method and Cox multivariable analysis.
A majority of patients were male (81.6%), white (89.6%), with stage IV (41.2%) oropharyngeal cancer (51.1%) treated with definitive radiation and chemotherapy (93.3%). Patients with myosteatosis and those with LMM were more likely to die compared to those with normal musculature (5-yr OS HR 1.55; 95% CI 1.03-2.34; HR 1.58; 95% CI 1.04-2.38).
Musculature at the time of diagnosis was associated with overall mortality. Diagnostic imaging could be utilized to aid in assessing candidates for interventions targeted at maintaining and increasing muscle reserves.
尽管治疗头颈部癌症(HNC)通常可以挽救生命,但这种治疗可能会使人虚弱,导致非计划性住院。癌症患者的住院治疗可能会打乱治疗计划并导致不良结局。通过诊断性影像学检查确定治疗前的肌肉质量和数量,可能有助于早期识别高风险不良结局的患者。本研究的主要目的是确定治疗前的肌肉组织是否与全因死亡率相关。
从癌症中心的电子数据库中提取患者的人口统计学和临床特征(n=403)。通过治疗前的 CT 扫描确定肌肉量。在比较有和没有肌内脂肪增多症以及有和没有低肌肉量(LMM)的患者时,利用倾向评分匹配来调整混杂偏倚。使用 Kaplan-Meier 方法和 Cox 多变量分析评估总生存率(OS)。
大多数患者为男性(81.6%),白人(89.6%),患有 IV 期(41.2%)口咽癌(51.1%),接受根治性放疗和化疗(93.3%)。与正常肌肉组织相比,有肌内脂肪增多症和 LMM 的患者更有可能死亡(5 年 OS HR 1.55;95%CI 1.03-2.34;HR 1.58;95%CI 1.04-2.38)。
诊断时的肌肉量与总死亡率相关。诊断性影像学检查可用于辅助评估候选者,以进行旨在维持和增加肌肉储备的干预措施。