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Updated: Jan 10, 2026

An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
Published on: January 27, 2010
Incidence and Risk Factors for Acute Postoperative Pain in Patients With Lung Cancer
Lin Lin1, Shuai Yuan1, E Zheng1
1Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China; West China School of Nursing, Sichuan University, Chengdu, China.
Acute postoperative pain (APSP) affects 29.5% of lung cancer patients. Female sex, drinking history, surgical history, preoperative pain, and anxiety are key risk factors for poor pain control.
Area of Science:
- Oncology
- Pain Management
- Thoracic Surgery
Background:
- Acute postoperative pain (APSP) is a common complication following lung cancer surgery.
- Effective pain management is crucial for patient recovery and quality of life.
- Understanding risk factors is essential for personalized analgesic strategies.
Purpose of the Study:
- To determine the incidence of APSP in lung cancer patients.
- To identify independent risk factors associated with APSP.
- To inform the development of precise and multimodal pain management plans.
Main Methods:
- Prospective case-control study involving 200 lung cancer patients.
- Data collection included demographics, psychological state (HADS, PSQI, PCS), and quantitative sensory testing.
- Risk factors for APSP (NRS ≥ 4) were analyzed using univariate and binary logistic regression.
Main Results:
- The incidence of APSP was 29.5% (59 out of 200 patients).
- Independent risk factors for APSP included female sex, drinking history, preoperative pain score, preoperative anxiety, and surgical history.
- Average age was 55.91 ± 10.42 years; average BMI was 23.17 ± 2.81 kg/m².
Conclusions:
- Female sex, drinking history, surgical history, preoperative pain, and anxiety are significant predictors of poor postoperative pain control.
- These factors should be actively managed to optimize pain management.
- Individualized analgesia incorporating preventive measures and perioperative care is recommended.
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