Development and Internal Validation of the Postoperative Analgesic Intake Needs Score: A Predictive Model for Post-Operative Narcotic Requirement after Spine Surgery.

multi-modal analgesia opioid intake postoperative pain spine surgery

Journal

Global spine journal
ISSN: 2192-5682
Titre abrégé: Global Spine J
Pays: England
ID NLM: 101596156

Informations de publication

Date de publication:
Oct 2023
Historique:
medline: 21 1 2022
pubmed: 21 1 2022
entrez: 20 1 2022
Statut: ppublish

Résumé

Retrospective Cohort. The aim of this study was to develop a clinical tool to pre-operatively risk-stratify patients undergoing spine surgery based on their likelihood to have high postoperative analgesic requirements. A total of 1199 consecutive patients undergoing elective spine surgery over a 2-year period at a single center were included. Patients not requiring inpatient admission, those who received epidural analgesia, those who had two surgeries at separate sites under one anesthesia event, and those with a length of stay greater than 10 days were excluded. The remaining 860 patients were divided into a derivation and validation cohort. Pre-operative factors were collected by review of the electronic medical record. Total postoperative inpatient opioid intake requirements were converted into morphine milligram equivalents to standardize postoperative analgesic requirements. The postoperative analgesic intake needs (PAIN) score was developed after the following predictor variables were identified: age, race, history of depression/anxiety, smoking status, active pre-operative benzodiazepine use and pre-operative opioid use, and surgical type. Patients were risk-stratified based on their score with the high-risk group being more likely to have high opioid consumption postoperatively compared to the moderate and low-risk groups in both the derivation and validation cohorts. The PAIN Score is a pre-operative clinical tool for patients undergoing spine surgery to risk stratify them based on their likelihood for high analgesic requirements. The information can be used to individualize a multi-modal analgesic regimen rather than utilizing a "one-size fits all" approach.

Identifiants

pubmed: 35050806
doi: 10.1177/21925682211072490
pmc: PMC10538320
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2135-2143

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Auteurs

Zachary D Johnson (ZD)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Scott W Connors (SW)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Zachary Christian (Z)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Olatunde Badejo (O)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Emmanuel Adeyemo (E)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Mark N Pernik (MN)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Umaru Barrie (U)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

James P Caruso (JP)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Benjamin Kafka (B)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Om J Neeley (OJ)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Kristen Hall (K)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Tarek Y El Ahmadieh (TY)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Nader S Dahdaleh (NS)

Department of Neurological Surgery, Northwestern University Medical Center, Dallas, TX, USA.

Joan S Reisch (JS)

Department of Population and Data Sciences, Division of Biostatistics, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Salah G Aoun (SG)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.

Carlos A Bagley (CA)

Department of Neurological Surgery, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
Department of Orthopedic Surgery, The University Texas Southwestern Medical Center, Dallas, TX, USA.

Classifications MeSH