| Literature DB >> 35081134 |
Khushboo Baldev1, Feng Dai2, Cassandra Barrett3, Bin Zhou2, Misty Shah1, Benjamin Howie1, Praba Boominathan4, Xuechun Zhao5, Jinlei Li6.
Abstract
INTRODUCTION: The use of glucocorticoid as local anesthetic adjuvant in single-injection adductor canal block (ACB) is well-documented but its effects in the presence of an indwelling catheter is unclear. The purpose of this study was to determine the impacts of one-time perineural glucocorticoid injection on continuous adductor canal block in patients undergoing total knee arthroplasty.Entities:
Mesh:
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Year: 2022 PMID: 35081134 PMCID: PMC8791457 DOI: 10.1371/journal.pone.0261949
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1STROBE flowchart of screened and excluded patients.
Demographics, baseline and perioperative characteristics.
| Characteristics | Control (N = 41) | DEX only (N = 33) | DEX/MPA (N = 21) | P Value |
|---|---|---|---|---|
|
| 68.56 (10.38) | 71.64 (8.93) | 66.10 (10.30) | 0.13 |
|
| 30 (73%) | 25 (76%) | 14 (67%) | 0.76 |
|
| 31.34 (6.66) | 31.58 (7.54) | 29.20 (5.43) | 0.40 |
|
| ||||
| 1–2 | 30 (73%) | 14 (42%) | 15 (71%) | 0.015 |
| 3–4 | 11 (27%) | 19 (58%) | 6 (29%) | |
|
| ||||
| Asian | 1 (2%) | 0 (0%) | 1 (5%) | 0.21 |
| Black or African American | 5 (12%) | 1 (3%) | 0 (0%) | |
| Hispanic or Latino | 0 (0%) | 1 (3%) | 0 (0%) | |
| White | 35 (85%) | 30 (94%) | 20 (95%) | |
|
| 21 (51%) | 8 (24%) | 8 (38%) | 0.06 |
|
| 4 (0%) | 1 (3%) | 0 (0%) | 0.28 |
|
| 26 (63%) | 25 (76%) | 13 (62%) | 0.44 |
|
| 2 (5%) | 0 (0%) | 0 (0%) | 0.50 |
|
| 3 (7%) | 1 (3%) | 0 (0%) | 0.54 |
|
| 12 (31%) | 9 (27%) | 4 (20%) | 0.68 |
|
| 11 (28%) | 13 (39%) | 3 (15%) | 0.16 |
|
| 20 (49%) | 13 (39%) | 14 (67%) | 0.15 |
|
| 19.94 (2.13) | 20.00 (0.00) | 20.48 (2.18) | 0.49 |
|
| 45.0 (41.0–54.0) | 51.0 (43.0–69.0) | 45.0 (43.0–49.0) | 0.14 |
|
| 7 (18%) | 4 (13%) | 2 (10%) | 0.80 |
Note: Data are presented as mean (SD), median (IQR: P25-P75) or n (%).
Comparison of primary outcome-local anesthetic (Ropivacaine) usage and secondary outcomes.
| Variables | Control (n = 41) | DEX (n = 33) | DEX/MPA (n = 21) | DEX vs control | DEX/MPA vs control | DEX/MPA vs DEX |
|---|---|---|---|---|---|---|
|
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|
| ||||||
| POD 1 | 158.7 (118.8–197.0) | 27.5 (0.0–55.0) | 45.0 (26.5–60.0) | <0.001 | <0.001 | 0.16 |
| POD 2 | 210.3 (135.1–276.5) | 37.5 (7.5–75.0) | 21.6 (0.0–53.5) | <0.001 | <0.001 | 0.22 |
|
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|
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| POD 1 | 28.9 (10.9–50.4) | 15.0 (2.5–24.0) | 18.7 (11.4–26.7) | 0.06 | 0.33 | 0.33 |
| POD 2 | 35.0 (15.0–56.0) | 24.0 (8.0–40.9) | 20.0 (8.0–49.5) | 0.24 | 0.23 | 0.77 |
| POD 3 | 20.0 (7.5–37.5) | 16.0 (8.0–32.0) | 20.0 (8.0–32.0) | 0.37 | 0.73 | 0.67 |
|
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| POD 1 | 4.0 (2.0–6.0) | 4.5 (1.0–6.0) | 3.0 (0.0–4.0) | 0.66 | 0.07 | 0.08 |
| POD 2 | 4.0 (3.0–5.0) | 5.0 (2.0–5.0) | 3.0 (2.0–4.0) | 0.75 | 0.16 | 0.11 |
| POD 3 | 3.0 (2.0–5.0) | 4.0 (3.0–6.0) | 3.0 (2.0–5.0) | 0.38 | 0.44 | 0.13 |
|
| ||||||
| POD 1 | 2.0 (0.0–5.0) | 3.0 (1.0–5.0) | 2.0 (0.0–3.0) | 0.61 | 0.18 | 0.024 |
| POD 2 | 2.5 (1.0–4.0) | 3.0 (0.0–5.0) | 2.0 (0.0–3.0) | 0.57 | 0.38 | 0.16 |
| POD 3 | 2.0 (0.0–4.0) | 3.0 (2.0–4.0) | 2.0 (0.0–3.0) | 0.25 | 0.65 | 0.08 |
|
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| POD 1 | 80.0 (70.0–92.0) | 90.0 (78.0–103.0) | 85.0 (75.0–95.0) | 0.037 | 0.29 | 0.49 |
| POD 2 | 87.0 (77.0–97.0) | 102.0 (90.0–114.0) | 102.0 (97.5–105.5) | <0.001 | <0.001 | 0.87 |
| POD 3 | 92.0 (79.0–100.0) | 99.5 (92.0–108.0) | 106.0 (100.0–120.0) | 0.032 | <0.001 | 0.06 |
|
| ||||||
| POD 1 | 81.0 (80.0–90.0) | 90.0 (85.0–98.0) | 90.0 (80.0–95.0) | 0.010 | 0.047 | 0.79 |
| POD 2 | 86.0 (77.0–92.5) | 93.5 (90.0–102.0) | 93.0 (90.0–102.5) | 0.002 | 0.009 | 0.88 |
| POD 3 | 90.0 (81.0–94.0) | 95.5 (86.0–100.0) | 96.0 (96.0–110.0) | 0.06 | <0.001 | 0.048 |
|
| ||||||
| POD 1 | ‒3.0 (‒5.0–5.0) | 0.0 (‒8.0–5.0) | ‒5.0 (‒10.0–5.0) | 0.82 | 0.38 | 0.37 |
| POD 2 | 0.0 (‒5.0–8.0) | 10.0 (0.0–12.0) | 8.0 (2.0–10.0) | 0.017 | 0.031 | 0.51 |
| POD 3 | 4.0 (‒6.0–8.0) | 8.0 (0.0–10.0) | 6.0 (5.0–10.0) | 0.08 | 0.08 | 0.78 |
|
| 27 (66%) | 17 (52%) | 9 (50%) | 0.21 | 0.25 | 0.92 |
|
| 23 (56%) | 14 (42%) | 4 (22%) | 0.24 | 0.016 | 0.15 |
|
| 60.0 (0.0–130.0) | 70.0 (60.0–120.0) | 50.0 (30.0–100.0) | 0.21 | 0.88 | 0.019 |
|
| 120.0 (0.0–190.0) | 210.0 (190.0–240.0) | 190.0 (110.0–240.0) | <0.001 | 0.23 | 0.041 |
|
| 4.0 (3.0–4.0) | 4.0 (3.0–4.0) | 3.0 (2.5–4.0) | 1.00 | 0.042 | 0.14 |
|
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| Home | 27 (66%) | 29 (88%) | 20 (95%) | 0.028 | 0.011 | 0.64 |
| SNF | 14 (34%) | 4 (12%) | 1 (5%) |
Note: Data are presented as mean (SD), median (IQR: P25-P75) or n (%).
OME: oral morphine milligram equivalent; ml, milliliter; POD: postoperative day; ROM: range of motion; AROM: active range of motion; SNF: skilled nursing facility.
Fig 2Progression of opioid consumption throughout the immediate postoperative period.
Median (IQR) was plotted. OME: oral morphine milligram equivalent; ml, milliliter; POD, postoperative day; DEX, dexamethasone sodium phosphate; MPA, methylprednisolone acetate.
Fig 3Progression of VAS pain score at activity (physical therapy) throughout the immediate postoperative period.
Median (IQR) was plotted. VAS, visual analogue scale; POD, postoperative day; DEX, dexamethasone sodium phosphate; MPA, methylprednisolone acetate.