Bhimani Jenna, Wang Peng, Gallagher Grace B, O'Connell Kelli, Blinder Victoria, Burganowski Rachael, Ergas Isaac J, Griggs Jennifer J, Heon Narre, Kolevska Tatjana, Kotsurovskyy Yuriy, Kroenke Candyce H, Laurent Cecile A, Liu Raymond, Nakata Kanichi G, Persaud Sonia, Roh Janise M, Tabatabai Sara, Valice Emily, Bandera Elisa V, Bowles Erin J Aiello, Kushi Lawrence H, Kantor Elizabeth D
Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Int J Cancer. 2025 Oct 1;157(7):1342-1353. doi: 10.1002/ijc.35494. Epub 2025 Jun 2.
Modifications to intended chemotherapy regimens may be due to various reasons and may impact patient outcomes. Understanding which factors are associated with chemotherapy modifications can help inform treatment planning and improve cancer care. We examined the association between patient/tumor factors and modifications to intended chemotherapy in women with Stages I-IIIA breast cancer who were treated at Kaiser Permanente Northern California and Kaiser Permanente Washington from 2005 to 2019. Modifications were defined as any dose reductions in the first cycle or throughout chemotherapy, regimen change, treatment delay (single delay >14 days) or receiving fewer cycles of any drugs than expected. We used generalized linear models of the Poisson family with a log-link function to calculate prevalence ratios (PRatios). Of 9700 women receiving adjuvant chemotherapy, 34.6% had chemotherapy modifications. Selected results are shown: positive associations were observed with age (PRatio: 1.93; 95% confidence interval [CI]: 1.50-2.50; p-trend <.001), body mass index (BMI) (PRatio: 1.53; 95% CI: 1.41-1.65; p-trend <.001), and Charlson comorbidity index (PRatio: 1.33; 95% CI: 1.19-1.48; p-trend <.001), while more recent years of diagnosis were associated with decreased prevalence of treatment modifications (PRatio: 0.65; 95% CI: 0.61-0.69; p-trend <.001). Stage was also positively associated (PRatio: 1.24; 95% CI: 1.13-1.35; p-trend <.001), as was human epidermal growth factor-2 positive status (PRatio: 1.99; 95% CI: 1.89-2.10). In conclusion, patients with the highest likelihood of chemotherapy modifications represent those who may have more complex prescribing needs, including those of older age, higher BMI, and more comorbidity. Further understanding of how modifications could impact outcomes within these groups can inform and improve cancer care.
对预期化疗方案的调整可能有多种原因,且可能影响患者的治疗结果。了解哪些因素与化疗方案调整相关,有助于指导治疗规划并改善癌症护理。我们研究了2005年至2019年在北加利福尼亚凯撒医疗集团和华盛顿凯撒医疗集团接受治疗的I-IIIA期乳腺癌女性患者的患者/肿瘤因素与预期化疗方案调整之间的关联。调整被定义为在第一个周期或整个化疗过程中的任何剂量减少、方案改变、治疗延迟(单次延迟>14天)或接受的任何药物周期数少于预期。我们使用了具有对数链接函数的泊松族广义线性模型来计算患病率比(PRatios)。在9700名接受辅助化疗的女性中,34.6%进行了化疗方案调整。部分结果如下:年龄(患病率比:1.93;95%置信区间[CI]:1.50 - 2.50;p趋势<.