| Literature DB >> 30209962 |
Lea Andjelković1, Vesna Novak-Jankovič1, Neva Požar-Lukanovič1, Zoran Bosnić2, Alenka Spindler-Vesel1.
Abstract
OBJECTIVE: The consumption of opioid analgesics could be reduced by the use of analgesics with different mechanisms of action. We investigated whether additional treatment with dexmedetomidine or lidocaine could reduce opioid consumption.Entities:
Keywords: Analgesia; cognitive function; dexmedetomidine; laparoscopy; lidocaine; neuralgia
Mesh:
Substances:
Year: 2018 PMID: 30209962 PMCID: PMC6300946 DOI: 10.1177/0300060518792456
Source DB: PubMed Journal: J Int Med Res ISSN: 0300-0605 Impact factor: 1.671
Figure 1.Flow diagram of the study.
Statistical analysis of differences between groups using the Mann–Whitney test. Significant differences are indicated in bold type in the last three columns.
| Group | N | Median | IQR | Min | Max | p-value for difference to DG | p-value for difference to CG | p-value for difference to LG | |
|---|---|---|---|---|---|---|---|---|---|
| Propofol consumption per time unit per body weight [mg/min/kg] | DG | 19 | 0.102 | 0.040 | 0.080 | 0.190 | / |
| 0.647 |
| CG | 20 | 0.146 | 0.060 | 0.080 | 0.270 |
| / |
| |
| LG | 20 | 0.099 | 0.030 | 0.070 | 0.150 | 0.647 |
| / | |
| Fentanyl consumption per time unit per body weight [mg/min/kg] | DG | 19 | 0.00005 | 0.000 | 0.0000 | 0.0001 | / | 0.084 | 0.749 |
| CG | 20 | 0.0001 | 0.000 | 0.0000 | 0.0001 | 0.084 | / | 0.102 | |
| LG | 20 | 0.00005 | 0.000 | 0.0000 | 0.0001 | 0.749 | 0.102 | / | |
| Recovery consumption: piritramide [mg] | DG | 19 | 3.000 | 9.000 | 0.000 | 15.000 | / | 0.708 | 0.942 |
| CG | 20 | 5.000 | 3.000 | 0.000 | 12.000 | 0.708 | / | 0.656 | |
| LG | 20 | 3.000 | 6.000 | 0.000 | 30.000 | 0.942 | 0.656 | / | |
| Recovery consumption: metamizole [mg] | DG | 19 | 0.000 | 0.000 | 0.000 | 2.500 | / | 0.946 | 0.946 |
| CG | 20 | 0.000 | 0.000 | 0.000 | 2.500 | 0.946 | / | 1.000 | |
| LG | 20 | 0.000 | 0.000 | 0.000 | 2.500 | 0.946 | 1.000 | / | |
| Consumption of piritramide per body weight – day of surgery [mg/kg] | DG | 19 | 0.295 | 0.240 | 0.157 | 0.638 | / | 0.361 | 0.673 |
| CG | 20 | 0.343 | 0.178 | 0.237 | 0.571 | 0.361 | / | 0.787 | |
| LG | 20 | 0.313 | 0.130 | 0.168 | 0.637 | 0.673 | 0.787 | / | |
| Consumption of piritramide per body weight – first post-op day [mg/kg] | DG | 19 | 0.475 | 0.255 | 0.286 | 0.900 | / | 0.152 | 0.144 |
| CG | 20 | 0.582 | 0.149 | 0.318 | 0.857 | 0.152 | / |
| |
| LG | 20 | 0.427 | 0.177 | 0.216 | 0.806 | 0.144 |
| / | |
| Consumption of piritramide per body weight – second post-op day [mg/kg] | DG | 19 | 0.463 | 0.432 | 0.267 | 1.109 | / | 0.768 |
|
| CG | 20 | 0.513 | 0.137 | 0.318 | 0.656 | 0.768 | / |
| |
| LG | 20 | 0.354 | 0.134 | 0.216 | 0.725 |
|
| / | |
| Total consumption of piritramide per body weight [mg/kg] | DG | 19 | 1.172 | 0.825 | 0.909 | 2.491 | / | 0.555 | 0.116 |
| CG | 20 | 1.433 | 0.420 | 0.906 | 2.040 | 0.555 | / |
| |
| LG | 20 | 1.133 | 0.324 | 0.600 | 2.168 | 0.116 |
| / | |
| Day of the first defecation | DG | 19 | 3.000 | 1.000 | 1.000 | 6.000 | / | 0.106 | 0.124 |
| CG | 20 | 3.000 | 1.000 | 1.000 | 5.000 | 0.106 | / | 0.578 | |
| LG | 20 | 2.500 | 2.750 | 1.000 | 6.000 | 0.124 | 0.578 | / | |
| Length of stay [days] | DG | 19 | 7.000 | 3.000 | 5.000 | 25.000 | / |
| 0.134 |
| CG | 20 | 6.000 | 2.000 | 4.000 | 15.000 |
| / | 0.460 | |
| LG | 20 | 6.000 | 1.000 | 5.000 | 14.000 | 0.134 | 0.460 | / | |
| Blood loss on time unit [mL] | DG | 19 | 0.000 | 0.556 | 0.000 | 2.632 | / | 0.647 | 0.502 |
| CG | 20 | 0.000 | 0.850 | 0.000 | 3.425 | 0.647 | / | 0.903 | |
| LG | 20 | 0.000 | 0.828 | 0.000 | 4.237 | 0.502 | 0.903 | / | |
| Mini mental test difference | DG | 19 | 0.000 | 0.000 | –4.000 | 3.000 | / | 0.203 | 0.271 |
| CG | 20 | 0.000 | 0.750 | –2.000 | 2.000 | 0.203 | / | 0.770 | |
| LG | 20 | 0.000 | 0.000 | –3.000 | 1.000 | 0.271 | 0.770 | / |
Patient characteristics. Data are presented as ‘median (IQR) [min–max]’ for continuous variables and n (%) for binary variables.
| Group DG (n=19) | Group CG (n=20) | Group LG (n=20) | |
|---|---|---|---|
| Age [years] | 68 (25) [42–83] | 58 (20) [36–85] | 63.5 (16) [36–79] |
| Body weight [kg] | 70 (25) [47–101] | 74 (20) [49–102] | 80 (16) [54–125] |
| BMI [kg/m2] | 25.7 (6) [18.1–34.9] | 24.4 (5.5) [18.2–29.4] | 28.2 (6.5) [19.8–38.6] |
| Duration of surgery [min] | 115 (65) [55–190] | 115 (71) [70–235] | 123 (34) [60–220] |
| Male sex (%) | 9 (47.4%) | 10 (50%) | 12 (60%) |
| ASA classification (I/II/III) | 0 (0%) /11 (58%) /8 (42%) | 4 (20%) /14 (70%) /2 (10%) | 1 (5%) /13 (65%) /6 (30%) |
Figure 2.Fentanyl consumption per patient group.
Figure 3.Piritramide consumption per body weight among the patient groups.
Figure 4.Propofol consumption per patient group.
Figure 5.Average VAS score per patient group. VAS = visual analogue scale