| Literature DB >> 34368598 |
Shahjehan Ahmad1, Ryan Khanna1, Alvin Chidozie Onyewuenyi1, Nicholas Panos2, Rory Breslin1, Sepehr Sani1.
Abstract
INTRODUCTION: Opioid overuse in postoperative patients is a worrisome trend, and potential alternatives exist which warrant investigation. Nonsteroidal anti-inflammatory drug use in treating postoperative cranial surgery pain has been hampered by concern for inadequate pain control and increased risk of hemorrhagic complications. A safe and effective alternative to opioid-based pain management is critical to improving postoperative care.Entities:
Keywords: Cranial; Functional; Multimodal; NSAIDs; Neurosurgery; Opioid; Opioid-sparing; Postoperative; Surgery
Year: 2021 PMID: 34368598 PMCID: PMC8341305 DOI: 10.1097/PR9.0000000000000948
Source DB: PubMed Journal: Pain Rep ISSN: 2471-2531
Figure 1.(A) Opioid-sparing management protocol (OSP). All acetaminophen was given orally. (B) Opioid protocol (OP).
Baseline and matched characteristics.
| Full cohort | Matched cohort | |||||||
|---|---|---|---|---|---|---|---|---|
| Opioid (n = 261) | OSP (n = 94) | Significance | Mean standard difference (d) | Opioid (n = 91) | OSP (n = 93) | Significance | Mean standard difference (d) | |
| Craniotomy | 25% | 20% | 0.057 | 0.119 | 23% | 20% | 0.665 | 0.072 |
| Preoperative opioid use | 25% | 4% | 0.619 | 12% | 4% | 0.056 | 0.292 | |
| Age | 59.2 | 57.7 | 0.429 | 0.099 | 58.6 | 57.6 | 0.644 | 0.066 |
| Body mass index (BMI) | 28.3 | 28.1 | 0.769 | 0.030 | 28.3 | 28.2 | 0.922 | 0.015 |
| Time of procedure (h) | 3.3 | 2.7 | 0.075 | 0.501 | 2.9 | 2.7 | 0.364 | 0.176 |
| Type 2 diabetes | 13% | 14% | 0.839 | 0.029 | 10% | 14% | 0.396 | 0.123 |
| Hypertension | 31% | 18% | 0.303 | 22% | 18% | 0.534 | 0.099 | |
| Depression | 15% | 14% | 0.482 | 0.028 | 15% | 14% | 0.789 | 0.028 |
| Anxiety | 16% | 23% | 0.176 | 23% | 24% | 0.927 | 0.023 | |
| Sex (male) | 56% | 60% | 0.237 | 0.080 | 59% | 60% | 0.904 | 0.020 |
Bold values indicate statistically significant findings.
Primary and secondary outcomes.
| Opioid (n = 91) | OSP (n = 93) | Significance | 95% CI | |
|---|---|---|---|---|
| Primary outcomes | ||||
| 6 hours pain | 4.19 | 3.45 | 0.05–1.44 | |
| 12 hours pain | 4.00 | 3.21 | 0.23–1.34 | |
| 24 hours pain | 3.59 | 2.90 | 0.17–1.21 | |
| Postoperative hemorrhage | 8% | 5% | 0.527 | |
| Secondary outcomes | ||||
| 30-d emergency department visit | 5% | 6% | 0.786 | |
| 30-d readmission | 9% | 3% | 0.113 | |
| MEU 6 hours | 11.6 | 1.2 | ||
| MEU 12 hours | 13.0 | 0.8 | ||
| MEU 24 hours | 12.6 | 1.6 | ||
| MEU discharge | 45.2 | 4.6 | ||
| Urinary retention | 5% | 2% | 0.238 | |
| Length of stay (d) | 2.24 | 1.85 | 0.184 |
Bold values indicate statistically significant findings.
ED, emergency department; LOS, length of stay.
Figure 2.Pain and opioid drug usage after cranial neurosurgery. (A) Average postoperative pain scores assessed using DVPRS. (B) Cumulative opioid usage measured by morphine equivalent units (MEUs). DVPRS, Defense and Veterans Pain Rating Scale; OSP, opioid-sparing protocol; OP, opioid pain regimen.
Predictors of escalation to opioids.
| Odds ratio | Significance | |
|---|---|---|
| Craniotomy | 8.6 | |
| Preoperative opioid use | 0.001 | 0.999 |
| Age | 1 | 0.999 |
| Body mass index (BMI) | 0.975 | 0.605 |
| Procedure length | 1.165 | 0.586 |
| Type 2 diabetes | 0.542 | 0.626 |
| Hypertension | 0.660 | 0.695 |
| Depression | 2.377 | 0.347 |
| Anxiety | 3.541 | 0.121 |
| Sex | 0.777 | 0.699 |
Bold values indicate statistically significant findings.