Baylor College of Medicine, Houston, Texas.
Texas Children's Hospital, Houston, Texas.
Pediatr Blood Cancer. 2022 Sep;69(9):e29803. doi: 10.1002/pbc.29803. Epub 2022 Jun 16.
The Neurological Predictor Scale (NPS) quantifies cumulative exposure to conventional treatment-related neurological risks but does not capture potential risks posed by tumors themselves. This study evaluated the predictive validity of the NPS, and the incremental value of tumor location and size, for neurocognitive outcomes in early survivorship following contemporary therapies for pediatric brain tumors.
Survivors (N = 69) diagnosed from 2010 to 2016 were administered age-appropriate versions of the Wechsler Intelligence Scales. Hierarchical multiple regressions examined the predictive and incremental validity of NPS score, tumor location, and tumor size.
Participants (51% female) aged 6-20 years (M = 13.22, SD = 4.09) completed neurocognitive evaluations 5.16 years (SD = 1.29) postdiagnosis. The NPS significantly predicted Full-Scale Intelligence Quotient (FSIQ; ΔR = .079), Verbal Comprehension Index (VCI; ΔR = 0.051), Perceptual Reasoning Index (PRI; ΔR = 0.065), and Processing Speed Index (PSI; ΔR = 0.049) performance after controlling for sex, age at diagnosis, and maternal education. Tumor size alone accounted for a significant amount of unique variance in FSIQ (ΔR = 0.065), PRI (ΔR = 0.076), and PSI (ΔR = 0.080), beyond that captured by the NPS and relevant covariates. Within the full model, the NPS remained a significant independent predictor of FSIQ (β = -0.249, P = 0.016), VCI (β = -0.223, P = 0.048), and PRI (β = -0.229, P = 0.037).
Tumor size emerged as an independent predictor of neurocognitive functioning and added incrementally to the predictive utility of the NPS. Pretreatment disease burden may provide one of the earliest markers of neurocognitive risk following contemporary treatments. With perpetual treatment advances, measures quantifying treatment-related risk may need to be updated and revalidated to maintain their clinical utility.
神经预测量表 (NPS) 量化了与常规治疗相关的累积神经风险,但并未捕捉到肿瘤本身带来的潜在风险。本研究评估了 NPS 对儿童脑肿瘤现代治疗后早期生存者神经认知结局的预测有效性,以及肿瘤位置和大小的增量价值。
2010 年至 2016 年间诊断出的幸存者 (N=69) 接受了适合年龄的韦氏智力测验版本。分层多元回归检验了 NPS 评分、肿瘤位置和肿瘤大小的预测和增量有效性。
参与者为 6-20 岁的儿童(M=13.22,SD=4.09),在诊断后 5.16 年(SD=1.29)完成神经认知评估。NPS 显著预测全量表智商 (FSIQ;ΔR=0.079)、言语理解指数 (VCI;ΔR=0.051)、知觉推理指数 (PRI;ΔR=0.065) 和加工速度指数 (PSI;ΔR=0.049),在控制性别、诊断时年龄和母亲教育程度后。肿瘤大小单独解释了 FSIQ (ΔR=0.065)、PRI (ΔR=0.076) 和 PSI (ΔR=0.080) 方面的大量独特变异,而这些变异超出了 NPS 和相关协变量的解释范围。在全模型中,NPS 仍然是 FSIQ (β=-0.249,P=0.016)、VCI (β=-0.223,P=0.048) 和 PRI (β=-0.229,P=0.037) 的显著独立预测因子。
肿瘤大小成为神经认知功能的独立预测因子,并增加了 NPS 的预测效用。治疗前疾病负担可能是现代治疗后神经认知风险的最早标志物之一。随着治疗的不断进步,用于量化治疗相关风险的措施可能需要更新和重新验证,以保持其临床效用。