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Identifying At-Risk Subgroups for Acute Postsurgical Pain: A Classification Tree Analysis
Author(s) -
Yang Wang,
Zejun Liu,
Shuanghong Chen,
Xiaoxuan Ye,
Wenyi Xie,
Chunrong Hu,
Tony Iezzi,
Todd Jackson
Publication year - 2017
Publication title -
pain medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.893
H-Index - 97
eISSN - 1526-4637
pISSN - 1526-2375
DOI - 10.1093/pm/pnx339
Subject(s) - medicine , logistic regression , acute pain , prospective cohort study , physical therapy , anesthesia , surgery
Acute postsurgical pain is common and has potentially negative long-term consequences for patients. In this study, we evaluated effects of presurgery sociodemographics, pain experiences, psychological influences, and surgery-related variables on acute postsurgical pain using logistic regression vs classification tree analysis (CTA).

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