Graduate School of General Hospital of People's Liberation Army, Beijing, China,
Pharmacy Department, Medical Security Center, General Hospital of People's Liberation Army, Beijing, China,
Pharmacology. 2022;107(1-2):69-80. doi: 10.1159/000519333. Epub 2021 Oct 21.
This study was conducted to develop and validate a nomogram for predicting the risk of neutropenia or febrile neutropenia (FN) in tumor patients in the first cycle of etoposide-based chemotherapy.
This retrospective cohort study used an information system to monitor patients with non-Hodgkin's lymphoma or solid tumors receiving an etoposide regimen in the first chemotherapy cycle in our hospital from 2009 to 2020. Binary logistic regression analysis was used to identify the influencing factors of patients with neutropenia or FN. Those factors were then used to develop a nomogram.
A total of 1,554 patients were divided into the development group (n = 1,072) and validation group (n = 482). Variables used to predict neutropenia or FN were Karnofsky performance status (odds ratio [OR] = 0.85, 95% confidence interval [CI] = 0.81-0.89, p < 0.01), metastatic sites ≥3 (OR = 6.33, 95% CI = 2.66-15.11, p < 0.01), comorbidity of heart disease (OR = 4.88, 95% CI = 1.74-13.67, p < 0.01), recent surgery (OR = 7.96, 95% CI = 1.96-32.36, p < 0.01), administration of alkylating agents (OR = 4.50, 95% CI = 1.10-18.48, p < 0.01), total bilirubin ≥25 μmol/L (OR = 11.42, 95% CI = 4.00-32.61, p < 0.01), and lymphocyte count <0.7 × 109/L (OR = 4.22, 95% CI = 2.00-9.75, p < 0.01).
This model can aid the early identification and screening of the potential risk of neutropenia or FN in the first cycle of treatment for patients using etoposide-based chemotherapy.
本研究旨在开发和验证一种列线图,用于预测依托泊苷为基础的化疗第一周期肿瘤患者中性粒细胞减少或发热性中性粒细胞减少(FN)的风险。
本回顾性队列研究使用信息系统监测了 2009 年至 2020 年期间在我院接受依托泊苷方案化疗的非霍奇金淋巴瘤或实体瘤患者的第一个化疗周期的患者。采用二元逻辑回归分析识别中性粒细胞减少或 FN 患者的影响因素。然后使用这些因素开发列线图。
共纳入 1554 例患者,分为开发组(n = 1072)和验证组(n = 482)。用于预测中性粒细胞减少或 FN 的变量为卡氏功能状态(比值比 [OR] = 0.85,95%置信区间 [CI] = 0.81-0.89,p < 0.01)、转移性部位≥3(OR = 6.33,95% CI = 2.66-15.11,p < 0.01)、心脏病合并症(OR = 4.88,95% CI = 1.74-13.67,p < 0.01)、近期手术(OR = 7.96,95% CI = 1.96-32.36,p < 0.01)、烷化剂给药(OR = 4.50,95% CI = 1.10-18.48,p < 0.01)、总胆红素≥25 μmol/L(OR = 11.42,95% CI = 4.00-32.61,p < 0.01)和淋巴细胞计数<0.7×109/L(OR = 4.22,95% CI = 2.00-9.75,p < 0.01)。
该模型可帮助早期识别和筛选接受依托泊苷化疗的患者第一周期中性粒细胞减少或 FN 的潜在风险。