Global test statistics for treatment effect of stroke and traumatic brain injury in rats with administration of bone marrow stromal cells
Global test statistics for treatment effect of stroke and traumatic brain injury in rats with administration of bone marrow stromal cells
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DOI：
10.1016/s0165-0270(03)00188-2
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发表时间：
2003-09-30
影响因子：
3
通讯作者：
Chopp, M
中科院分区：
文献类型：
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作者：
Lu, M;Chen, JL;Chopp, M
由于没有单一的测试可以测量大脑中动脉闭塞/创伤性脑损伤（MCAo/TBI）大鼠的残疾，因此需要多次测试来评估骨髓基质细胞（MSC）对功能恢复的影响。在0.05水平上检验每个结局的治疗效果而不进行多结局调整会增加I型误差。因此，我们应用全局测试来评估两种应用中常见的MSC剂量对多种结果的影响：(i) MSC剂量为0（BPS）、1 × 10(6)和3 × 10(6)的MCAo大鼠，以及（ii）损伤后第1天静脉给药的MSC剂量为0、1 × 10(6)、2 × 10(6)和4 × 10(6)的TBI大鼠。与对照组相比，3 × 10(6)个MSCs可改善MCAo大鼠14天的功能恢复（P < 0.05）。骨髓间充质干细胞剂量为4 × 10(6)的TBI大鼠在1个月时与对照组、1 × 10(6)或2 × 10(6)的大鼠相比有显著改善（P < 0.05）。在治疗效果一致的情况下，对多个结果的整体测试比单一结果更有效。结果之间的相关性越低，全局测试的力量就越大，因此效率也就越高。我们证明了连续结果的全局测试可以在仔细的统计建模和适当的数据转换下实现。(C) 2003 Elsevier B.V.版权所有
Because no single test measures disability in rats with middle cerebral artery occlusion/traumatic brain injury (MCAo/TBI), multiple tests are needed to assess the effect of bone marrow stromal cell (MSC) on functional recovery. Testing the treatment effect on each outcome at the 0.05 level without adjusting for multiple outcomes can increase type I error. Therefore, we applied the global test to evaluate a common MSC dose effect on multiple outcomes in two applications: (i) MCAo rats with the MSC dose of zero (BPS), 1 x 10(6) and 3 x 10(6), and (ii) TBI rats with the MSC dose of zero, 1 x 10(6), 2 x 10(6) and 4 x 10(6), administered intravenously at I day after injury. For the MCAo rats, 3 x 10(6) MSCs improved the 14 day functional recovery (P < 0.05) compared to the controls. TBI rats with the MSC dose 4 x 10(6) were improved significantly at I month compared to controls, rats with 1 x 10(6) or 2 x 10(6) MSCs (P < 0.05). The global test on multiple outcomes is more efficient than a single outcome when treatment effects are consistent. The less correlation among the outcomes, the more power and, therefore, the higher efficiency of the global test. We demonstrated that the global test for continuous outcomes could be implemented under careful statistical modeling and proper data transformation. (C) 2003 Elsevier B.V. All rights reserved.