CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CAR-T(CAR-T)细胞在血液系统恶性肿瘤中的应用推动了这种免疫治疗形式的显著进展。
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Forecasting immune effector cell-associated neurotoxicity syndrome after chimeric antigen receptor t-cell therapy.
Forecasting immune effector cell-associated neurotoxicity syndrome after chimeric antigen receptor t-cell therapy.
分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。
该预测模型能够准确预测 CAR-T 细胞输注后 ICANS 的风险以及 ICANS 一旦开始后的时间进程。Cite Now。
免疫效应细胞相关神经毒性综合征(ICANS)是一种临床和神经精神综合征,可在嵌合抗原受体(CAR)T细胞治疗给药后数天至数周内发生。ICANS的表现范围从脑病和失语症到脑水肿和死亡。由于ICANS的发病和时程目前不可预测,CAR-T 细胞输注后延长住院以进行密切监测是常见的标准治疗。
本研究于2015年4月至2020年2月在布莱根妇女医院进行。使用199例接受CAR-T 细胞治疗的住院患者队列,开发了结合隐马尔可夫模型和lasso惩罚逻辑回归的模型,以预测ICANS的病程。模型开发采用留一患者交叉验证法完成。
在纳入分析的199例患者中,133例为男性(66.8%),平均(SD)年龄为59.5(11.8)岁。97例患者(48.7%)发生ICANS,其中59例(29.6%)发生3-4级重度ICANS。ICANS中位发生时间为第9天。选定的临床预测因素包括每日最高体温、C反应蛋白、IL-6和降钙素原。该模型分别正确预测了发生ICANS和重度ICANS的患者,提前5天预测时曲线下面积分别为96.7%和93.2%,从第5天起预测整个未来风险轨迹时曲线下面积分别为93.2%和80.6%。还在1至7天的时间范围内评估了预测性能,使用了预测偏差、平均绝对偏差和加权平均百分比误差等指标。
Immune effector cell-associated neurotoxicity syndrome (ICANS) is a clinical and neuropsychiatric syndrome that can occur days to weeks following administration chimeric antigen receptor (CAR) T-cell therapy. Manifestations of ICANS range from encephalopathy and aphasia to cerebral edema and death. Because the onset and time course of ICANS is currently unpredictable, prolonged hospitalization for close monitoring following CAR T-cell infusion is a frequent standard of care.
This study was conducted at Brigham and Women's Hospital from April 2015 to February 2020. A cohort of 199 hospitalized patients treated with CAR T-cell therapy was used to develop a combined hidden Markov model and lasso-penalized logistic regression model to forecast the course of ICANS. Model development was done using leave-one-patient-out cross validation.
Among the 199 patients included in the analysis 133 were male (66.8%), and the mean (SD) age was 59.5 (11.8) years. 97 patients (48.7%) developed ICANS, of which 59 (29.6%) experienced severe grades 3-4 ICANS. Median time of ICANS onset was day 9. Selected clinical predictors included maximum daily temperature, C reactive protein, IL-6, and procalcitonin. The model correctly predicted which patients developed ICANS and severe ICANS, respectively, with area under the curve of 96.7% and 93.2% when predicting 5 days ahead, and area under the curve of 93.2% and 80.6% when predicting the entire future risk trajectory looking forward from day 5. Forecasting performance was also evaluated over time horizons ranging from 1 to 7 days, using metrics of forecast bias, mean absolute deviation, and weighted average percentage error.
The forecasting model accurately predicts risk of ICANS following CAR T-cell infusion and the time course ICANS follows once it has begun.Cite Now.
在 PubMed 查看 → 出版商原文(DOI) 全文 PDF(PMC)· 可下载 治疗专题与资料阅读指南 资料来源与翻译说明 报告译文或资料问题 →
MEMBER ACCOUNT
登录成功会直接打开下一页。