Journal of Pain Research (Nov 2023)

Risk Factors Analysis of Phantom Limb Pain in Amputees with Malignant Tumors

  • Huo X,
  • Huang P,
  • Di H,
  • Ma T,
  • Jiang S,
  • Yao J,
  • Huang L

Journal volume & issue
Vol. Volume 16
pp. 3979 – 3992

Abstract

Read online

Xiulin Huo,1,2 Peiying Huang,1 Hexuan Di,3 Tianxiao Ma,3 Sufang Jiang,1 Jie Yao,4 Lining Huang1 1Department of Anesthesiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China; 2Department of Anesthesiology, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China; 3Department of Orthopaedic Surgery, The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China; 4Department of Anesthesiology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, People’s Republic of ChinaCorrespondence: Lining Huang, Department of Anesthesiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People’s Republic of China, Email [email protected]: Postamputation neuropathic pain is a common disease in patients with malignant tumor amputation, seriously affecting amputees’ quality of life and mental health. The objective of this study was to identify independent risk factors for phantom limb pain in patients with tumor amputation and to construct a risk prediction model.Methods: Patients who underwent amputation due to malignant tumors from 2013 to 2023 were retrospectively analyzed and divided into phantom limb pain group and non-phantom limb pain group. To determine which preoperative factors would affect the occurrence of phantom limb pain, we searched for candidate factors by univariate analysis and used multivariate logistic regression analysis to identify independent factors and construct a predictive model. The receiver operating characteristic curve (ROC) was drawn to further evaluate the accuracy of the prediction model in evaluating the phantom limb pain after amputation of bone and soft tissue tumors.Results: Multivariate analysis showed that age (OR, 1.054; 95% CI, 1.027 to 1.080), preoperative pain (OR, 5.773; 95% CI, 2.362 to 14.104), number of surgeries (OR, 3.425; 95% CI, 1.505 to 7.795), amputation site (OR, 5.848; 95% CI, 1.837 to 18.620), amputation level (OR, 8.031; 95% CI, 2.491 to 25.888) were independent risk factors for phantom limb pain for bone and soft tissue tumors. The the area under the curve (AUC) of this model was 0.834.Conclusion: Risk factors for postoperative phantom limb pain were the site of amputation, proximal amputation, preoperative pain, multiple amputations, and older age. These factors will help surgeons to individualize and stratify phantom limb pain and help patients with risk counseling. In particular, an informed clinical decision targeting those modifiable factors can be considered when needed.Keywords: neuropathic pain, phantom limb pain, bone and soft tissue tumors, amputation, risk factors, prediction model

Keywords