文献类型：期刊文献

英文题名：Transitioning from acute to chronic pain: a simulation study of trajectories of low back pain

作者：Su, Jianzhong[1];Du, Ying[2];Bevers, Kelley[3];Xiao, Pengcheng[4];Licciardone, John[5];Brotto, Marco[6];Gatchel, Robert J.[3]

机构：[1]Univ Texas Arlington, Dept Math, Arlington, TX 76019 USA;[2]East China Univ Sci & Technol, Dept Math, Shanghai, Peoples R China;[3]Univ Texas Arlington, Dept Psychol, Arlington, TX 76019 USA;[4]Kennesaw State Univ, Dept Math, 1100 South Marietta Pkwy, Marietta, GA 30060 USA;[5]UNT Hlth Sci Ctr, Dept Family Med, Ft Worth, TX USA;[6]Univ Texas Arlington, Coll Nursing & Hlth Innovat, Arlington, TX 76019 USA

年份：2019

卷号：17

期号：1

外文期刊名：JOURNAL OF TRANSLATIONAL MEDICINE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000484609300001)】；

基金：Ying Du is supported by the National Natural Science Foundation of China (No. 11672107).

语种：英文

外文关键词：Low back pain; Chronic and acute pains; Pain trajectories; HPA axis; Ordinary differential equation system; Computer simulation

摘要：Background Identifying how pain transitions from acute to chronic is critical in designing effective prevention and management techniques for patients' well-being, physically, psychosocially, and financially. There is an increasingly pressing need for a quantitative and predictive method to evaluate how low back pain trajectories are classified and, subsequently, how we can more effectively intervene during these progression stages. Methods In order to better understand pain mechanisms, we investigated, using computational modeling, how best to describe pain trajectories by developing a platform by which we studied the transition of acute chronic pain. Results The present study uses a computational neuroscience-based method to conduct such trajectory research, motivated by the use of hypothalamic-pituitary-adrenal (HPA) axis activity-history over a time-period as a way to mimic pain trajectories. A numerical simulation study is presented as a "proof of concept" for this modeling approach. Conclusions This model and its simulation results have highlighted the feasibility and the potential of developing such a broader model for patient evaluations.