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Development of a nomogram for predicting acute pain among patients after abdominal surgery: A prospective observational study

  • 0Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Journal of Clinical Nursing +

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February 21, 2024

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February 21, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study developed a nomogram to predict post-operative pain risk in abdominal surgery patients. The tool aids in personalized pain management strategies for better patient recovery.

Area Of Science

  • Pain Management
  • Surgical Oncology
  • Clinical Prediction Models

Background

  • Accurate prediction of post-operative pain is crucial for effective management and recovery.
  • Existing risk factors for acute post-operative pain show inconsistent findings across studies.
  • Comprehensive models for predicting post-operative acute pain are lacking.

Purpose Of The Study

  • To develop a nomogram for screening patients at risk of post-operative pain after abdominal surgery.
  • To create a reliable tool for identifying individuals requiring targeted pain prevention strategies.
  • To enhance personalized pain management protocols in abdominal surgery.

Main Methods

  • Prospective observational study involving 352 patients undergoing abdominal operations.
  • Development of a nomogram using binary logistic regression to predict acute post-operative pain probability.
  • Assessment of predictive performance through discrimination, calibration, and internal validation via Bootstrap resampling.

Main Results

  • The incidence of acute post-operative pain was 39.49% (139 out of 352 patients).
  • Key predictors identified include age <60, unmarried/divorced/widowed marital status, intraoperative remifentanil consumption >2 mg, drainage tube presence, poor sleep quality, high pain catastrophizing, low pain self-efficacy, and non-use of patient-controlled intravenous analgesia (PCIA).
  • The developed nomogram demonstrated reliable discrimination and calibration.

Conclusions

  • An online dynamic predictive model was established for individualized risk assessment of acute pain post-abdominal surgery.
  • The nomogram serves as a practical and internally validated tool for risk assessment.
  • The model facilitates personalized management and prevention strategies for post-operative pain.

Keywords:

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