Axelrod B N, Vanderploeg R D, Rawlings D B
John D. Dingell Department of Veterans Affairs Medical Center, Detroit, MI, USA.
J Clin Exp Neuropsychol. 1999 Jun;21(3):368-74. doi: 10.1076/jcen.21.3.368.916.
Arithmetic algorithms for predicting premorbid Full Scale IQ were evaluated in a sample of 125 brain injured adults who had been evaluated within two months of their injury, and then again one year later. FSIQ at post-test was used as the criterion variable. The prediction equation, based on demographic information only (Barona, Chastain, & Reynolds, 1984), proved to be a modest predictor of premorbid FSIQ. The BEST-3 (Vanderploeg & Schinka, 1995), a prediction equation that incorporates demographic information and performance data, was sensitive to the severity of the brain injury. Subsequent analyses found the BEST-3 to be a better predictor of recovery of function than it was an estimate of premorbid functioning. This study demonstrates the need for flexibility in the interpretation of results, as what was thought to be a prediction equation for premorbid functioning was better viewed as an estimate of recovery.
在125名脑损伤成年人的样本中评估了预测病前全量表智商（FSIQ）的算术算法，这些成年人在受伤后两个月内接受了评估，一年后再次接受评估。将测试后的FSIQ用作标准变量。仅基于人口统计学信息的预测方程（Barona、Chastain和Reynolds，1984年）被证明是病前FSIQ的一个适度预测指标。BEST-3（Vanderploeg和Schinka，1995年）是一个结合了人口统计学信息和表现数据的预测方程，它对脑损伤的严重程度很敏感。随后的分析发现，BEST-3在预测功能恢复方面比估计病前功能表现更好。这项研究表明在解释结果时需要灵活性，因为原本被认为是病前功能的预测方程，更好地应被视为恢复情况的估计。
