Duke University Medical Center, Durham, North Carolina.
Duke Cancer Institute, Durham, North Carolina.
Ann Surg. 2018 Feb;267(2):375-381. doi: 10.1097/SLA.0000000000002095.
The aim of this study was to determine whether hospital volume was associated with mortality in breast cancer, and what thresholds of case volume impacted survival.
Prior literature has demonstrated improved survival with treatment at high volume centers among less common cancers requiring technically complex surgery.
All adults (18 to 90 years) with stages 0-III unilateral breast cancer diagnosed from 2004 to 2012 were identified from the American College of Surgeons National Cancer Data Base (NCDB). A multivariable Cox proportional hazards model with restricted cubic splines was used to examine the association of annual hospital volume and overall survival, after adjusting for measured covariates. Intergroup comparisons of patient and treatment characteristics were conducted with X and analysis of variance (ANOVA). The log-rank test was used to test survival differences between groups. A multivariable Cox proportional hazards model was used to estimate hazard ratios (HRs) associated with each volume group.
One million sixty-four thousand two hundred and fifty-one patients met inclusion criteria. The median age of the sample was 60 (interquartile range 50 to 70). Hospitals were categorized into 3 groups using restricted cubic spline analysis: low-volume (<148 cases/year), moderate-volume (148 to 298 cases/year), and high-volume (>298 cases/year). Treatment at high volume centers was associated with an 11% reduction in overall mortality for all patients (HR 0.89); those with stage 0-I, ER+/PR+ or ER+/PR- breast cancers derived the greatest benefit.
Treatment at high volume centers is associated with improved survival for breast cancer patients regardless of stage. High case volume could serve as a proxy for the institutional infrastructure required to deliver complex multidisciplinary breast cancer treatment.
本研究旨在确定医院容量是否与乳腺癌死亡率相关,以及何种病例量阈值会影响生存率。
先前的文献表明,在需要复杂手术的罕见癌症中,在高容量中心治疗可提高生存率。
从美国外科医师学会国家癌症数据库(NCDB)中确定了 2004 年至 2012 年间诊断为 0 期至 III 期单侧乳腺癌的所有成人(18 至 90 岁)。使用带有限制立方样条的多变量 Cox 比例风险模型,在调整了测量的协变量后,检查了年度医院容量与总生存率之间的关联。使用 X 检验和方差分析(ANOVA)对患者和治疗特征的组间比较进行了检验。使用对数秩检验检验组间的生存差异。使用多变量 Cox 比例风险模型估计与每个容量组相关的风险比(HR)。
符合纳入标准的患者有 1064251 名。样本的中位年龄为 60 岁(四分位距 50 至 70 岁)。使用限制立方样条分析将医院分为 3 组:低容量(<148 例/年)、中容量(148 至 298 例/年)和高容量(>298 例/年)。高容量中心的治疗与所有患者的总体死亡率降低 11%相关(HR 0.89);0 期-I 期、ER+/PR+或 ER+/PR-乳腺癌患者获益最大。
无论分期如何,高容量中心的治疗与乳腺癌患者的生存改善相关。高病例量可以作为提供复杂多学科乳腺癌治疗所需机构基础设施的替代指标。