| Literature DB >> 35415474 |
Julian Diaz-Abele1, Mario Luc2, Alina Dyachenko3, Salah Aldekhayel4, Antonio Ciampi5, Jane McCusker5.
Abstract
Purpose: Wide-awake local anesthesia hand surgery has many advantages over other forms of anesthesia, including faster recovery, lower cost, and improved patient safety; however, few studies compare postoperative pain and analgesic consumption after long- and short-acting anesthetics. This is important because surgeons seek to minimize opioid consumption during the opioid epidemic.Entities:
Keywords: awake hand surgery; local anesthesia; narcotic use; patient pain perception
Year: 2019 PMID: 35415474 PMCID: PMC8991639 DOI: 10.1016/j.jhsg.2019.09.004
Source DB: PubMed Journal: J Hand Surg Glob Online ISSN: 2589-5141
Figure 1Participant flow.
Demographic Characteristics by Lidocaine and Bupivacaine Groups
| Variable | Bupivacaine, n (%) (n = 32) | Lidocaine, n (%) (n = 29) | |
|---|---|---|---|
| Age, median (interquartile range); (minimum, maximum) | 55 (52–62); (27; 79) | 55 (51–63); (32; 82) | .857 |
| Gender | |||
| Female | 19 (59.4) | 18 (62.1) | .830 |
| Male | 13 (40.6) | 11 (37.9) | |
| Preoperative CTS severity | |||
| Mild to moderate | 1 (3.1) | 2 (6.9) | .914 |
| Moderate | 16 (50.0) | 14 (48.3) | |
| Moderate to severe | 4 (12.5) | 4 (13.8) | |
| Severe | 11 (34.4) | 9 (31.0) | |
| Side | |||
| Left | 15 (46.9) | 13 (44.8) | .872 |
| Right | 17 (53.1) | 16 (55.2) | |
| Bloc | |||
| Bloc 1 (male, moderate) | 6 (18.8) | 5 (17.2) | .993 |
| Bloc 2 (male, severe) | 7 (21.9) | 6 (20.7) | |
| Bloc 3 (female, moderate) | 11 (34.4) | 11 (37.9) | |
| Bloc 4 (female, severe) | 8 (25.0) | 7 (24.1) |
Chi-Square and Wilcoxon tests were performed for all categorical and age variables, respectively.
Outcome Characteristics by Lidocaine Versus Bupivacaine Groups
| Variable | Descriptive Statistics | Parameter Estimate | ||
|---|---|---|---|---|
| Bupivacaine, n = 32 | Lidocaine, n = 29 | |||
| Pain | Difference (95% CI) | |||
| Pain intensity (0–24 h) | 4.7 (2.7); (0; 10) | 6.2 (2.3); (1; 10) | –1.5 (–2.8 to –0.2) | |
| Pain intensity (24–48 h) | 3.1 (2.4); (0; 8) | 2.9 (1.9); (0; 7) | 0.2 (–0.9 to 1.4) | .67 |
| Medication | RR (95% CI) | |||
| Acetaminophen (0–12 h) | 2.3 (1.3); (0; 6) | 3.1 (1.5); (0; 6) | 0.7 (0.57 to 0.97) | |
| Acetaminophen (12–24 h) | 2.6 (2.0); (0; 8) | 2.5 (1.5); (0; 6) | 1.0 (0.7 to 1.5) | .40 |
| Opioid (0–12 h) | 0.4 (0.8); (0; 3) | 1.1 (2.2); (0; 11) | 0.4 (0.1 to 1.1) | .08 |
| Opioid (12–24 h) | 0.8 (0.9); (0; 3) | 0.7 (1.0); (0; 4) | 1.1 (0.6 to 2.3) | .70 |
| Time of first medication after surgery, h | 8 (5–9); (2; 11) | 5.9 (4.0–7.4); (2; 13) | .06 | |
| Medication consumption profile, n (%) | ||||
| None | 3 (9.4%) | 1 (3.4%) | .60 | |
| Acetaminophen only | 11 (34.4%) | 12 (41.4%) | ||
| Acetaminophen and opioid | 18 (56.3%) | 16 (55.2%) | ||
Normality assumptions were confirmed only for pain variables. Data are expressed as means (SD); (minimum; maximum) or median (interquartile range Q1–Q3); (minimum; maximum) or n (%), as appropriate. Bold text indicates statistical significance.
Linear model.
Poisson model.
Wilcoxon test.
Chi-square test.
Figure 2Distribution of time of first medication after surgery: density curve. Note: Kernel estimator was used to plot the density function.
Figure 3Outcomes variation as a function of time (simple mean ± standard error). A Pain perception. B Number of acetaminophen pills. C Number of opioid pills.