108139
论文已发表
注册即可获取德孚的最新动态
IF 收录期刊
- 3.4 Breast Cancer (Dove Med Press)
- 3.2 Clin Epidemiol
- 2.6 Cancer Manag Res
- 2.9 Infect Drug Resist
- 3.7 Clin Interv Aging
- 5.1 Drug Des Dev Ther
- 3.1 Int J Chronic Obstr
- 6.6 Int J Nanomed
- 2.6 Int J Women's Health
- 2.9 Neuropsych Dis Treat
- 2.8 OncoTargets Ther
- 2.0 Patient Prefer Adher
- 2.2 Ther Clin Risk Manag
- 2.5 J Pain Res
- 3.0 Diabet Metab Synd Ob
- 3.2 Psychol Res Behav Ma
- 3.4 Nat Sci Sleep
- 1.8 Pharmgenomics Pers Med
- 2.0 Risk Manag Healthc Policy
- 4.1 J Inflamm Res
- 2.0 Int J Gen Med
- 3.4 J Hepatocell Carcinoma
- 3.0 J Asthma Allergy
- 2.2 Clin Cosmet Investig Dermatol
- 2.4 J Multidiscip Healthc
已发表论文
日间手术后急性疼痛的预测因素：一项荟萃分析
Received 9 May 2025
Accepted for publication 29 September 2025
Published 8 October 2025 Volume 2025:18 Pages 5249—5263
DOI https://doi.org/10.2147/JPR.S538046
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Karina Gritsenko
Hanqing Zhang,1,2 Xinglian Gao1
1Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China; 2School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
Correspondence: Xinglian Gao, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, People’s Republic of China, Email sssgxl@sina.com
Objective: This study aims to provide evidence-based recommendations for optimizing postoperative pain management and enhancing recovery efficiency by identifying key predictors of acute postoperative pain in day surgery patients.
Background: As day surgery becomes more widespread, effective management of acute postoperative pain is crucial for successful recovery. A variety of studies have explored factors influencing postoperative acute pain. This study synthesizes existing evidence through a meta-analysis to clarify the primary predictors.
Methods: A comprehensive search was performed across multiple databases, including PubMed, CINAHL, Scopus, Web of Science, EMBASE, the Cochrane Library, and CNKI, to identify clinical studies examining factors associated with acute postoperative pain following day surgery. The search encompassed all relevant publications up to January 30, 2025. The systematic review and meta-analysis employed a fixed-effects model to analyze the data, with a random-effects model applied in cases of significant heterogeneity.
Results: Ten studies involving 11,865 patients were included. Significant predictors of acute postoperative pain, including: insufficient use of analgesics (OR = 2.12, P < 0.00001), age < 45 years (OR = 2.88, P < 0.00001), open surgery (OR = 5.05, P < 0.00001), education level ≤ middle school (OR = 2.06, P = 0.0001), preoperative fear and anxiety (OR = 2.18, P < 0.00001), higher preoperative pain expectation (OR = 1.74, P < 0.00001), and general anesthesia (OR = 1.91, P < 0.0001).
Conclusion: This study identified the main predictors of acute postoperative pain in day surgery, suggesting these factors should be incorporated into clinical assessments to optimize pain management and recovery. The main risk factors include analgesic usage, age, surgery type, education level, preoperative fear and anxiety, pain expectation, and anesthesia type. Effective preoperative management of these factors may reduce postoperative pain and enhance recovery.
Keywords: day surgery, predictive factors, meta-analysis, postoperative acute pain
1Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China; 2School of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
Correspondence: Xinglian Gao, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, People’s Republic of China, Email sssgxl@sina.com
Objective: This study aims to provide evidence-based recommendations for optimizing postoperative pain management and enhancing recovery efficiency by identifying key predictors of acute postoperative pain in day surgery patients.
Background: As day surgery becomes more widespread, effective management of acute postoperative pain is crucial for successful recovery. A variety of studies have explored factors influencing postoperative acute pain. This study synthesizes existing evidence through a meta-analysis to clarify the primary predictors.
Methods: A comprehensive search was performed across multiple databases, including PubMed, CINAHL, Scopus, Web of Science, EMBASE, the Cochrane Library, and CNKI, to identify clinical studies examining factors associated with acute postoperative pain following day surgery. The search encompassed all relevant publications up to January 30, 2025. The systematic review and meta-analysis employed a fixed-effects model to analyze the data, with a random-effects model applied in cases of significant heterogeneity.
Results: Ten studies involving 11,865 patients were included. Significant predictors of acute postoperative pain, including: insufficient use of analgesics (OR = 2.12, P < 0.00001), age < 45 years (OR = 2.88, P < 0.00001), open surgery (OR = 5.05, P < 0.00001), education level ≤ middle school (OR = 2.06, P = 0.0001), preoperative fear and anxiety (OR = 2.18, P < 0.00001), higher preoperative pain expectation (OR = 1.74, P < 0.00001), and general anesthesia (OR = 1.91, P < 0.0001).
Conclusion: This study identified the main predictors of acute postoperative pain in day surgery, suggesting these factors should be incorporated into clinical assessments to optimize pain management and recovery. The main risk factors include analgesic usage, age, surgery type, education level, preoperative fear and anxiety, pain expectation, and anesthesia type. Effective preoperative management of these factors may reduce postoperative pain and enhance recovery.
Keywords: day surgery, predictive factors, meta-analysis, postoperative acute pain