Parrish R S, Hazlett L J, Bridges K D, Henslee-Downey P J
Division of Biometry and Research Computing, South Carolina Cancer Center, Columbia 29203, USA.
Stat Med. 1999 Feb 28;18(4):423-40. doi: 10.1002/(sici)1097-0258(19990228)18:4<423::aid-sim27>3.0.co;2-e.
Patients undergoing bone marrow transplantation are at high risk of developing acute graft-versus-host disease (GVHD) which is a primary limiting factor for this procedure inasmuch as it is responsible for high morbidity rates and is associated with poor survival outcome. To provide improved treatment assessment and better interpretation of clinical outcomes, we need a precise and objective assessment of GVHD. Severity of GVHD is commonly assessed using an imprecise categorical grading system that incorporates skin, gut and liver grades, as well as subjective assessment of clinical performance. These organ grades are based on arbitrary cutpoints of skin rash, diarrhoea volume and bilirubin level. The International Bone Marrow Transplant Registry proposed an alternative grading system based on different combinations of organ involvement and provided estimates of relative risk of treatment failure. On the basis of that work, we developed an empirical mathematical model that quantifies GVHD severity, and that uses continuous, rather than categorical, daily measurements for each organ system. We use model-predicted values as an index of severity for any combination of values. The proposed index allows a more precise comparison of GVHD profiles across different treatment protocols and also permits more refined analyses to address relationships between GVHD and clinical outcomes.
接受骨髓移植的患者发生急性移植物抗宿主病(GVHD)的风险很高,这是该手术的一个主要限制因素,因为它会导致高发病率,并与不良的生存结果相关。为了提供更好的治疗评估和对临床结果的更准确解读,我们需要对GVHD进行精确和客观的评估。GVHD的严重程度通常使用一种不精确的分类分级系统进行评估,该系统纳入了皮肤、肠道和肝脏分级以及对临床表现的主观评估。这些器官分级基于皮疹、腹泻量和胆红素水平的任意切点。国际骨髓移植登记处提出了一种基于器官受累不同组合的替代分级系统,并提供了治疗失败相对风险的估计值。基于这项工作,我们开发了一个经验数学模型,该模型量化了GVHD的严重程度,并对每个器官系统使用连续而非分类的每日测量值。我们将模型预测值用作任何值组合的严重程度指标。所提出的指标允许对不同治疗方案的GVHD概况进行更精确的比较,并且还允许进行更精细的分析以探讨GVHD与临床结果之间的关系。