Evidence map›Paper›PMID 41938219›Full record

ArticleJournal of pain research2026

Risk Factors and Nomogram-Based Risk Stratification for Moderate-to-Severe Acute Postsurgical Pain After Open Lumbar Fusion: A Prospective Cohort Study.

Wanwen Wang, Jun Lv, Wenyan Zhao, Xixi Shi, Donglan Yu, Jing Chen

Abstract read
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Article in Journal of pain research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wanwen Wang *Department of Anesthesiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Jun Lv *Department of Anesthesiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Wenyan Zhao *Department of Anesthesiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Xixi ShiDepartment of Anesthesiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Donglan YuDepartment of Anesthesiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.
Jing ChenDepartment of Anesthesiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify factors associated with moderate-to-severe acute postsurgical pain (APSP) during postoperative days 1-7 (POD1-7) after open lumbar fusion and to develop a nomogram-based prediction model for early risk stratification. Methods: A total of 275 patients who underwent elective open lumbar fusion surgery at a tertiary hospital in Suzhou, China, from February to September 2023 were enrolled. Demographic, clinical, and psychological data were collected preoperatively. Postoperative pain intensity was assessed daily from POD1 to POD7 using the Numeric Rating Scale (NRS). Moderate-to-severe APSP was defined as any NRS score ≥ 4 during POD1-7, a clinically meaningful threshold for analgesic intervention. Binary logistic regression was performed to identify independent predictors and construct a nomogram. Model performance was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC) and the Hosmer-Lemeshow goodness-of-fit test. Results: Of 275 patients, 185 (67.3%) developed moderate-to-severe APSP. Five independent predictors were identified: age ≤ 50 years (OR = 3.640, P = 0.026), educational level ≤ high school (OR = 3.278, P = 0.026), no history of pain unrelated to the primary disease (OR = 2.679, P = 0.040), Pain Catastrophizing Scale score > 12 (OR = 2.054, P = 0.014), and no planned postoperative patient-controlled intravenous analgesia (PCIA) use (OR = 1.751, P = 0.044). The model showed acceptable discrimination (AUC = 0.705), with sensitivity of 64.3% and specificity of 73.3% at the optimal cutoff (0.684). The Hosmer-Lemeshow test was non-significant (P = 0.194), indicating good calibration. Conclusion: Moderate-to-severe APSP was common after open lumbar fusion. The nomogram, based on five readily available predictors, may support early beside risk stratification and individualized analgesic and nursing management. External validation is needed before broader clinical application.

Indexed as

acute postsurgical painnomogramnursingopen lumbar fusion surgeryprediction modelrisk factors

Identifiers

PMID41938219
PMCPMC13048056

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