Incidence and Predictors of Rebound Pain Following Peripheral Nerve Block Among Orthopedics Surgical Patients

The Operating Room Global Journal · Volume 2 · Issue 3 · September 2026
Original Research · Anaesthesia · Perioperative Pain

Incidence and Predictors of Rebound Pain Following Peripheral Nerve Block Among Orthopedics Surgical Patients

Belete Muluadam Admassie1,2*, Adebusola Adenike Owokole2,3,4,5
JournalThe Operating Room Global Journal
Volume / IssueVolume 2 · Issue 3
Article TypeOriginal Research
Available Online2 October 2026
Article DOI10.64573/torgj2609001
Author & Affiliation

Authors

Belete Muluadam Admassie1,2*, Adebusola Adenike Owokole2,3,4,5

1 Department of Anesthesia, College of Medicine and Health science, Bahir Dar University, Bahir Dar, Amhara, Ethiopia
2 The Operating Room Global (TORG)
3 The Robotic Global Surgical Society (TROGSS)
4 UL Hospitals, Ireland
5 University of Limerick (UL), Ireland

Corresponding Author: Belete Muluadam Admassie · [email protected]

Abstract

Study Summary

Background

Rebound pain is an underestimated postoperative complication characterized by severe pain after resolution of a peripheral nerve block. Although peripheral nerve blocks are increasingly used in orthopedic surgery, evidence regarding the incidence and predictors of rebound pain remains limited, particularly in low-resource settings.

Aim

To assess the incidence and predictors of rebound pain among adults undergoing upper-extremity orthopedic surgery under peripheral nerve block in Ethiopia during 2025/2026.

Methods

A prospective cohort study was conducted among 200 adult patients undergoing orthopedic surgery with peripheral nerve block. Participants were monitored for 48 hours after surgery. Data were collected using structured questionnaires and chart review, and pain intensity was measured with the Numeric Rating Scale following sensory block resolution. Multivariable logistic regression was used to identify independent predictors.

Results

Rebound pain occurred in 44.5% of the cohort. Dexamethasone premedication and intraoperative analgesia were independently associated with lower odds of rebound pain, while a neutrophil-to-lymphocyte ratio (NLR) ≥3 was independently associated with higher odds of rebound pain.

Conclusion

Rebound pain was common after peripheral nerve block for upper-extremity orthopedic surgery. The findings identify perioperative analgesia, dexamethasone premedication and elevated NLR as clinically relevant areas for further investigation and risk-informed perioperative pain management.

Keywords: Analgesia · Dexamethasone · incidence · Nerve block · Pain · Risk factors

Primary Outcome

Rebound Pain at a Glance

200Adult orthopedic surgical patients
44.5%Incidence of rebound pain
89Patients with rebound pain in the study results
38.0–51.5%95% CI for rebound-pain incidence
Study definition: Rebound pain was assessed after sensory block resolution, with severe postoperative pain evaluated during the 12–24-hour period following block resolution.
Independent Predictors

Adjusted Associations

AOR 8.20NLR ≥3 · higher odds of rebound pain
3.71–18.3195% CI · NLR ≥3
AOR 0.39Dexamethasone premedication · lower odds
AOR 0.18Intraoperative analgesia · lower odds
Adjusted model: NLR ≥3 remained associated with higher odds of rebound pain (p<0.001), while dexamethasone premedication (95% CI 0.16–0.96; p=0.041) and intraoperative analgesia (95% CI 0.04–0.92; p=0.039) were associated with lower odds.
Methods

Study Design & Analytical Approach

A prospective cohort study examining rebound pain following peripheral nerve block among adults undergoing upper-extremity orthopedic surgery at Tibebe Ghion Specialized Hospital in Ethiopia.

Study Period

December 2025–July 2026.

Participants

200 adults undergoing orthopedic surgery under peripheral nerve block.

Setting

Tibebe Ghion Specialized Hospital, Bahir Dar, northwest Ethiopia.

Analysis

SPSS version 20; descriptive analysis, chi-square testing and binary logistic regression.

Model assessment: The multivariable model used variables with p<0.25 in bivariable analysis and clinically relevant factors. Model fit was evaluated with the Hosmer–Lemeshow test (χ²=6.91, p=0.54), with multicollinearity assessed using VIF and tolerance statistics.
Clinical Context

Implications & Limitations

The study supports further evaluation of multimodal transitional analgesia before peripheral nerve block resolution and highlights elevated NLR as a potential low-cost risk marker requiring validation in larger studies.

Limitations: The published article identifies the single-center and observational design, residual or unmeasured confounding, heterogeneity of surgical procedures and analgesic regimens, missing data for some variables, reliance on patient-reported pain scores, and absence of some potentially relevant psychological variables.
Article Impact

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Cite This Article

Citation Generator

Admassie BM, Owokole AA. Incidence and predictors of rebound pain following peripheral nerve block among orthopedics surgical patients. The Operating Room Global Journal (TORGJ). 2026 Oct 2;2(3). https://doi.org/10.64573/torgj2609001
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Publication Information

Article Details

Article Type

Original Research

Prospective cohort study of rebound pain after peripheral nerve block.

Article History

Editorial Timeline

Received 28 August 2026
Accepted 28 September 2026
Available Online 2 October 2026

Corresponding Author

Belete Muluadam Admassie

[email protected]

Open Access

CC BY 4.0

Creative Commons Attribution 4.0 International licence.

Declarations

Conflict & Funding

No conflicts of interest declared. No funding received.

Journal Record

Volume 2 · Issue 3

September 2026 · ISSN 3105-3262
DOI: 10.64573/torgj2609001

Ethical Approval

TORG-IRB

Ethical approval reference TORG-IRB-20260227-02. Written informed consent was obtained from participants.

Data Availability

On Reasonable Request

Data sets used and analyzed in the study are available from the corresponding author on reasonable request.

AI Use Declaration

Language & Organisation Support

Generative AI tools were declared for language refinement, grammatical correction, sentence clarification and organisation of written content. Research design, data collection, statistical analysis, interpretation and scientific conclusions were undertaken and verified by the author.

Contributor Roles

Author Contributions

Belete Muluadam Admassie (BMA): Conceptualization, study design, data collection, analysis, interpretation and manuscript preparation.

Adebusola Adenike Owokole (AAO): Supervision, study design, interpretation and critical review.

Both authors approved the final manuscript.