| Literature DB >> 30356057 |
J Fleckenstein1,2, P Baeumler3, C Gurschler3, T Weissenbacher4, T Annecke3,5, T Geisenberger3,6, D Irnich3.
Abstract
Acupuncture may improve peri-operative care as it reduces post-operative symptoms, such as pain, nausea and vomiting, or sedation. This patient-assessor blinded, randomised trial in 75 women undergoing gynaecologic laparoscopy evaluated the effects of acupuncture combined with a standardised anaesthetic regimen (ACU) on post-anaesthetic recovery, when compared to acupressure (APU) or standard anaesthesia alone (CON). Main outcome measure was the time from extubation to 'ready for discharge' from recovery as assessed by validated questionnaires. The main outcome differed significantly between groups (p = 0.013). Median time to ready for discharge in the ACU group (30 (IQR: 24-41) min) was 16 minutes (35%) shorter than in the CON group (46 (36-64) min; p = 0.015) and tended to be shorter than in the APU group (43 (31-58) min; p = 0.08). Compared to CON (p = 0.029), median time to extubation was approximately 7 minutes shorter in both, the ACU and the APU group. No acupuncture or acupressure-related side-effects could be observed. A difference in time to recovery of 16 minutes compared to standard alone can be considered clinically relevant. Thus, results of this study encourage the application of acupuncture in gynaecological laparoscopy as it improves post-anaesthetic recovery.Entities:
Mesh:
Year: 2018 PMID: 30356057 PMCID: PMC6200780 DOI: 10.1038/s41598-018-33459-y
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Inclusion and Exclusion Criteria.
| Inclusion Criteria | General Exclusion Criteria | Indication-specific Exclusion Criteria |
|---|---|---|
| •Age 18+ | •Subject without legal capacity | •Surgery within the last three months |
Figure 1Consort study flow chart.
Patients demographic characteristics.
| Total (n = 71) | APU (n = 24) | CON (n = 24) | ACU (n = 23) | p-value | ||
|---|---|---|---|---|---|---|
| Age (years), range | 19–72 | 26–69 | 26–72 | 19–71 | a0.765 | |
| Height (cm), mean (SD) | 167.2 (7.0) | 169.4 (7.1) | 167.0 (6.9) | 165.0 (6.7) | a0.102 | |
| Weight (kg), M (IQR) | 65.0 (58.0–78.0) | 71.5 (61.5–81.5) | 62.5 (58.3–70.5) | 63.5# (55.0–72.0) |
b
| |
| Civil status n (%) | Single | 33 (46.5) | 9 (37.5) | 11 (45.8) | 13 (56.5) | |
| Married | 28 (39.4) | 11 (45.8) | 11 (45.8) | 6 (26.1) | ||
| Widowed | 2 (2.8) | 1 (4.2) | 0 (0.00) | 1 (4.3) | ||
| Divorced | 8 (11.3) | 3 (12.5) | 2 (8.3) | 3 (13.0) | ||
| Religion n (%) | Protestant | 8 (11.4) | 2 (8.7) | 1 (4.2) | 5 (21.7) | |
| Catholic | 39 (55.7) | 13 (56.5) | 14 (58.3) | 12 (52.2) | ||
| Islam | 4 (5.7) | 2 (8.7) | 2 (8.3) | 0 (0.0) | ||
| Others/none | 19 (27.1) | 6 (26.1) | 7 (29.2) | 6 (26.1) | ||
| Education n (%) | Main school | 6 (8.5) | 4 (16. 7) | 2 (8.3) | 0 (0.00) | |
| Secondary school | 21 (29.6) | 7 (29.1) | 4 (16.7) | 10 (43.5) | ||
| A-level | 11 (15.5) | 2 (8.3) | 6 (25.0) | 3 (13.0) | ||
| College degree | 33 (46.5) | 11 (45.8) | 12 (50.0) | 10 (43.5) | ||
| Profession n (%) | Student | 4 (5.7) | 1 (4.2) | 1 (4.2) | 2 (9.1) | |
| Blue collar worker | 2 (2.9) | 2 (8.3) | 0 (0.00) | 0 (0.0) | ||
| Employee | 44 (62.9) | 13 (54.2) | 17 (70.8) | 14 (63.6) | ||
| Public official | 2 (2.9) | 1 (4.2) | 0 (0.0) | 1 (4.5) | ||
| Retired | 3 (4.3) | 0 (0.0) | 2 (8.3) | 1 (4.5) | ||
| House wife | 6 (8.6) | 4 (16.7) | 2 (8.3) | 0 (0.0) | ||
| Unemployed | 2 (2.9) | 2 (8.3) | 0 (0.0) | 0 (0.0) | ||
| Self-employed | 7 (10.0) | 1 (4.2) | 2 (8.3) | 4 (18.2) | ||
| Type of surgery | Uterus | 26 (36.6) | 11 (45.8) | 7 (29.2) | 8 (34.8) | |
| Adnexa | 40 (56.3) | 13 (54.2) | 14 (58.3) | 13 (56.5) | ||
| Uterus & Andexa | 5 (7.0) | 0 (0.0) | 3 (12.5) | 2 (8.7) | ||
| Pain at admission (VAS, 0–10 cm), M (IQR) | 0.1 (0.0–0.3) | 0.1 (0.0–0.29) | 0.1 (0.0–0.65) | 0.0 (0.0–0.2) | 0.395 | |
APU: press plaster acupressure, CON: control, ACU: press needle acupuncture, n: case number, SD: standard deviation, M: median, IQR: interquartilerange, aANOVA, bKruskal-Wallis-Test, *significant overall group difference on an alpha level of 5%, #significantly different from the APU group on an alpha level of 5%, post-hoc pairwise group comparisons were performed by Dunn’s Test.
Anesthetic recovery period.
| Total (n = 71) | APU (n = 24) | CON (n = 24) | ACU (n = 23) | p-value | ||
|---|---|---|---|---|---|---|
|
| ||||||
| Time TCI off to BIS 70 (min) |
| 69 | 22 | 24 | 23 | |
|
| 10.0 (6.5–16.0) | 10.0 (5.0–11.3) | 12.5 (9.0–17.8) | 8.0 (6.0–19.0) | 0.069 | |
| Time TCIoff to extubation (min) |
| 71 | 24 | 24 | 23 | |
|
| 16.0 (10.0–22.0) | 13.0 (9.3–20.0)# | 19.0 (14.0–25.8) | 12.0 (7.0–22.0)# |
| |
| Time from induction of anesthesia to suture (min) |
| 64 | 23 | 21 | 20 | |
|
| 107.0 (97.3–145.0) | 112.0 (101.0–155.0) | 100.0 (91.5–113.0) | 128.5 (86.5–150.5) | 0.114 | |
|
| ||||||
| Time to ‘ready for discharge’ from PACU (min) |
| 71 | 24 | 24 | 23 | |
|
| 40.0 (28.0–55.0) | 42.5 (31.0–58.0) | 46.0 (36.0–63.8) | 30.0 (24.0–41.0)#,§ |
| |
APU: press plaster acupressure, CON: control, ACU: press needle acupuncture, n: case number, M: median, IQR: interquartilerange, min−1: per minute, mmHg: millimeters of mercury, BIS: bispectral index, min: minute(s), TCIoff: stop of target controlled infusion, O2: Oxygen, PACU: post-anaesthesia care unit, *significant on an alpha level of 5% according to Kruskal-Wallis-Test, #significantly different from the CON group. §Significantly different from APU group. Post-hoc pairwise group comparisons were performed by Dunn’s Test.
Figure 2Times to recovery. The figure indicates the time from extubation to ready for discharge from the PACU, with acupuncture showing the fastest time to full recovery. The figure shows boxplots (with median and IQRs) as well as outliers (circles). Between groups analysis revealed significant differnces (Kruskal-Wallis p = 0.013). P-values are given for the post-hoc pairwise comparisons as performed by Dunn’s test. APU: press plaster acupressure, CON: control, ACU: press needle acupuncture.
Acupuncture-related secondary outcomes.
| Total (n = 71) | APU (n = 24) | CON (n = 24) | ACU (n = 23) | p-value | |||
|---|---|---|---|---|---|---|---|
|
| |||||||
|
| |||||||
|
| n | 66 | 22 | 22 | 22 | 0.482 | |
| mean (SD) | 42.5 ± 9.0 | 42.2 ± 11.2 | 41.0 ± 8.0 | 44.3 ± 7.4 | |||
|
| n | 68 | 22 | 23 | 23 | 0.075 | |
| mean (SD) | 37.0 ± 9.1 | 39.1 ± 9.0 | 33.5 ± 7.1 | 38.5 ± 10.2 | |||
|
| |||||||
|
| n | 65 | 19 | 23 | 23 | 0.788 | |
| mean (SD) | 45.0 ± 10.7 | 43.9 ± 12.7 | 46.2 ± 11.9 | 44.8 ± 7.6 | |||
|
| n | 64 | 20 | 23 | 21 | 0.267 | |
| mean (SD) | 37.2 ± 9.3 | 39.5 ± 9.6 | 34.9 ± 7.7 | 37.4 ± 10.4 | |||
|
| |||||||
|
| n | 71 | 24 | 24 | 23 | 0.196 | |
| mean (SD) | 48.3 ± 11.4 | 45.0 ± 12.2 | 50.8 ± 12.7 | 49.2 ± 8.5 | |||
|
| n | 70 | 24 | 23 | 23 | 0.379 | |
| mean (SD) | 36.3 ± 9.9 | 37.1 ± 9.6 | 33.9 ± 7.5 | 37.7 ± 12.1 | |||
|
| |||||||
|
|
| 71 | 24 | 24 | 23 |
| |
|
| 98.0 (97.0–98.0) | 98.0 (97.0–98.0) | 98.0 (98.0–98.0) | 97.0 (96.0–98.0)# | |||
|
|
| 71 | 24 | 24 | 23 | 0.78 | |
|
| 43.0 (36.0–56.0) | 44.5 (34.0–58.3) | 47.0 (35.5–56.0) | 41.0 (37.0–49.0) | |||
|
|
| 68 | 23 | 23 | 22 | 0.54 | |
|
| 26.3 (21.1–33.5) | 24.2 (20.5–30.8) | 26.8 (21.1–34.0) | 28.0 (21.2–34.3) | |||
|
|
| 68 | 23 | 23 | 22 | 0.891 | |
|
| 261.0 (198.0–299.3) | 263.0 (214.0–294.0) | 260.0 (218.0–293.0) | 243.5 (184.8–327.8) | |||
|
|
| 55 | 21 | 17 | 17 | 0.533 | |
|
| 13.8 (12.0–16.0) | 14.0 (12.1–16.0) | 13.0 (12.0–14.8) | 12.8 (11.5–17.7) | |||
|
|
| 16 | 3 | 7 | 6 | 0.805 | |
|
| 30.0 (30.0–30.0) | 30.0 (30.0–30.0) | 30.0 (30.0–30.0) | 30.0 (27.5–42.5) | |||
|
|
| 71 | 24 | 24 | 23 | 0.414 | |
|
| 0.4 (0.3–0.5) | 0.4 (0.3–0.5) | 0.4 (0.3–0.5) | 0.3 (0.3–0.5) | |||
|
|
| 70 | 24 | 23 | 23 | 0.925 | |
|
| 7.0 (5.9–7.9) | 7.0 (6.0–7.5) | 7.0 (5.8–8.0) | 6.7 (5.8–7.8) | |||
|
|
| 70 | 23 | 24 | 23 | 0.799 | |
|
| 42.0 (36.0–50.0) | 39.0 (36.0–53.0) | 45.5 (37.0–54.0) | 42.0 (36.0–48.0) | |||
|
| |||||||
|
|
| 71 | 24 | 24 | 23 | ||
|
| 37.0 (27.0–44.0) | 41.5 (27.3–49.8)# | 31.5 (24.0–38.8) | 38.0 (31.0–50.0)# | |||
|
|
| 71 | 24 | 24 | 23 | 0.664 | |
|
| 70.0 (57.0–77.0) | 70.0 (55.5–76.0) | 72.5 (54.3–83.0) | 68.0 (57.0–74.0) | |||
|
|
| 71 | 24 | 24 | 23 | 0.222 | |
|
| 80.0 (75.0–84.0) | 81.5 (76.3–83.8) | 83.0 (75.5–87.3) | 76.0 (74.0–82.0) | |||
|
|
| 71 | 24 | 24 | 23 | 0.072 | |
|
| 0.1 (0.1–0.2) | 0.1 (0.1–0.1) | 0.1 (0.1–0.2) | 0.1 (0.1–0.2) | |||
|
|
| 71 | 24 | 24 | 23 | 0.951 | |
|
| 2.8 (2.2–3.5) | 2.7 (2.1–3.5) | 2.9 (2.1–3.5) | 2.6 (2.3–3.5) | |||
|
|
| 71 | 24 | 24 | 23 | 0.615 | |
|
| 43.8 (39.8–48.7) | 46.5 (40.0–52.9) | 44.3 (39.1–46.3) | 42.5 (38.8–47.7) | |||
|
|
| 69 | 22 | 24 | 23 | 0.079 | |
|
| 1197.0 (975.0–1594.0) | 1300.0 (1092.8–1793.0) | 1109.0 (930.5–1333.5) | 1251.0 (932.0–1598.0) | |||
|
|
| 55 | 21 | 17 | 17 | 0.233 | |
|
| 30.0 (26.0–36.0) | 29.0 (25.0–35.0) | 26.6 (24.5–33.0) | 30.5 (27.0–45.0) | |||
|
|
| 16 | 3 | 7 | 6 | 0.805 | |
|
| 30.0 (30.0–30.0) | 30.0 (30.0–30.0) | 30.0 (30.0–30.0) | 30.0 (27.5–42.5) | |||
|
|
| 71 | 24 | 24 | 23 | 0.098 | |
|
| 11.0 (1.0–22.0) | 7.0 (0.0–18.8) | 16.0 (5.5–29.0) | 11.0 (0.0–23.0) | |||
|
|
| 71 | 24 | 24 | 23 | 0.281 | |
|
| 9.0 (6.0–15.0) | 8.0 (6.3–13.0) | 8.0 (6.0–16.8) | 12.0 (6.0–18.0) | |||
|
|
| 71 | 24 | 24 | 23 | 0.997 | |
|
| 0.1 (0.1–0.1) | 0.1 (0.1–0.1) | 0.1 (0.1–0.1) | 0.1 (0.1–0.1) | |||
|
|
| 70 | 24 | 24 | 22 | 0.136 | |
|
| 1.1 (0.9–1.3) | 1.0 (0.9–1.3) | 1.0 (0.8–1.1) | 1.1 (1.0–1.4) | |||
|
|
| 71 | 24 | 24 | 23 |
| |
|
| 100.0 (84.0–138.0) | 105.0 (95.0–158.5)# | 91.5 (84.0–103.3) | 123.0 (75.0–143.0) | |||
|
|
| 63 | 22 | 21 | 20 |
| |
|
| 65.0 (49.0–95.0) | 72.5 (55.0–114.5)# | 56.0 (44.0–70.5) | 84.5 (52.0–106.8)# | |||
|
| |||||||
|
| n | 68 | 24 | 23 | 21 | 0.87 | |
|
| 1.0 (0.0–2.0) | 1.0 (0.0–2.0) | 1.0 (0.0–2.0) | 1.0 (1.0–2.0) | |||
| 6 h post-surgery | n | 70 | 23 | 24 | 23 | 0.365 | |
|
| 2.1 (0.7–3.1) | 2.3 (0.6–4.1) | 2.2 (0.8–4.1) | 1.7 (0.5–2.7) | |||
|
| n | 71 | 24 | 24 | 23 | 0.335 | |
|
| 1.3 (0.6–2.7) | 1.1 (0.3–3.1) | 1.9 (0.9–3.1) | 1.2 (0.5–2.1) | |||
|
| n | 68 | 24 | 21 | 23 | 0.712 | |
|
| 1.1 (0.4–2.7) | 0.7 (0.1–3.2) | 1.7 (0.7–2.9) | 1.3 (0.5–1.9) | |||
|
| n | 69 | 24 | 22 | 23 | 0.346 | |
|
| 1.0 (0.3–2.2) | 0.7 (0.1–2.0) | 1.3 (0.4–2.3) | 1.1 (0.5–1.9) | |||
|
| n | 68 | 24 | 21 | 23 | 0.697 | |
|
| 0.5 (0.1–1.7) | 0.3 (0.0–2.6) | 1.0 (0.2–1.8) | 0.6 (0.2–1.2) | |||
|
| n | 60 | 22 | 18 | 20 | 0.737 | |
|
| 0.6 (0.2–1.6) | 0.7 (0.0–1.5) | 0.5 (0.2–2.6) | 0.6 (0.3–1.1) | |||
|
| n | 53 | 20 | 17 | 16 | 0.592 | |
|
| 0.3 (0.1–1.2) | 0.3 (0.0–1.3) | 0.3 (0.1–1.4) | 0.5 (0.2–1.1) | |||
| Total (n = 71) | APU (n = 24) | p-value vs CON | CON (n = 24) | ACU (n = 23) | p-value vs CON | ||
|
| |||||||
|
| n (%) | 4 (5.63) | 1 (4.17) | 0 (0.00) | 3 (13.04) | ||
|
| n (%) | 29 (40.85) | 8 (33.33) | 0.38 | 12 (50.00) | 9 (39.13) | 0.561 |
|
| n (%) | 33 (46.48) | 9 (37.50) | 0.561 | 12 (50.00) | 12 (52.17) | 0.772 |
|
| |||||||
|
| n (%) | 40 (56.34) | 13 (54.17) | 15 (62.50) | 12 (52.17) | ||
|
| n (%) | 4 (5.63) | 1 (4.17) | 1.000 | 2 (8.33) | 1 (4.35) | 1.000 |
|
| n (%) | 44 (61.97) | 14 (58.33) | 0.547 | 17 (70.83) | 13 (56.52) | 0.371 |
|
| |||||||
|
| n (%) | 23 (32.39) | 8 (33.33) | 6 (25.00) | 9 (39.13) | ||
|
| n (%) | 30 (42.25) | 9 (37.50) | 0.561 | 12 (50.00) | 9 (39.13) | 0.561 |
|
| n (%) | 53 (74.65) | 17 (70.83) | 1.000 | 18 (75.00) | 18 (78.26) | 1.000 |
|
| |||||||
|
| n (%) | 5 (7.0) | 2 (8.3) | 1.000 | 2 (8.3) | 1 (4.3) | 1.000 |
|
| n (%) | 2 (2.8) | 1 (4.2) | 1.000 | 1 (4.2) | 0 (0.0) | 1.000 |
|
| n (%) | 8 (11.3) | 3 (12.5) | 1.000 | 2 (8.3) | 3 (13.0) | 0.666 |
|
| n (%) | 1 (1.4) | 0 (0.0) | — | 0 (0.0) | 1 (4.3) | 0.489 |
|
| n (%) | 3 (4.2) | 2 (8.3) | 1.000 | 1 (4.2) | 0 (0.0) | 1.000 |
|
| n (%) | 1 (1.4) | 0 (0.0) | — | 0 (0.0) | 1 (4.3) | 0.489 |
|
| n (%) | 2 (2.8) | 0 (0.0) | 0.489 | 2 (8.3) | 0 (0.0) | 0.489 |
|
| n (%) | 3 (4.2) | 2 (8.3) | 0.489 | 0 (0.0) | 1 (4.3) | 0.489 |
|
| n (%) | 1 (1.4) | 1 (4.2) | 1.000 | 0 (0.0) | 0 (0.0) | — |
|
| n (%) | 1 (1.4) | 0 (0.0) | 1.000 | 1 (4.2) | 0 (0.0) | 1.000 |
|
| n (%) | 21 (29.6) | 9 (37.5) | 0.534 | 6 (25.0) | 6 (26.1) | 1.000 |
|
| |||||||
|
| n (%) | 25 (35.2) | 8 (33.3) | 0.517 | 11 (45.8) | 6 (26.1) | 0.111 |
|
| n (%) | 11 (15.5) | 3 (12.5) | 0.139 | 7 (29.2) | 1 (4.3) |
|
|
| n (%) | 13 (18.3 | 6 (25.0) | 0.717 | 4 (16.7) | 3 (13.0) | 0.684 |
|
| n (%) | 19 (26.8) | 6 (25.0) | 1.000 | 5 (20.8) | 8 (34.8) | 0.489 |
|
| n (%) | 2 (2.8) | 0 (0.0) | 0.457 | 1 (4.2) | 1 (4.3) | 1.000 |
|
| n (%) | 3 (4.2) | 2 (8.3) | 0.489 | 0 (0.0) | 1 (4.3) | 1.000 |
|
| n (%) | 4 (5.6) | 0 (0.0) | 0.457 | 1 (4.2) | 3 (13.0) | 0.604 |
|
| n (%) | 5 (7.0) | 2 (8.3) | 1.000 | 2 (8.3) | 1 (4.3) | 0.603 |
|
| n (%) | 3 (4.2) | 1 (4.2) | 0.593 | 2 (8.3) | 0 (0.0) | 0.229 |
|
| n (%) | 2 (2.8) | 1 (4.2) | 1.000 | 0 (0.0) | 1 (4.3) | 1.000 |
|
| n (%) | 47 (66.2) | 16 (66.7) | 1.000 | 17 (70.8) | 14 (17.4) | 0.451 |
APU: press plaster acupressure, CON: control, ACU: press needle acupuncture, n: case number, M: median, IQR: interquartile range, STAI: State-Trait Anxiety Inventory, min−1: per minute, mmHg: millimeters of mercury, BIS: bispectral index, min: minute(s), Conc.: concentration, TCIoff: stop of target controlled infusion, WHO1 non-opioid analgesics according to the world health organization e.g. metamizol, WHO3 opioid analgesics i.e. piritramid, *significant on an alpha level of 5% according to Kruskal-Wallis-Test, #significantly different from the CON group on an alpha level of 5%, post-hoc pairwise group comparisons were performed by Dunn’s Test.
Figure 3Change in State Anxiety to baseline. The figure displays mean changes with standard error of the mean (SEM) in state anxiety (in scoring points) from baseline in the three study groups (APU: press plaster acupressure, CON: control, ACU: press needle acupuncture). Positive changes indicate an increase in state anxiety. Filled circles indicate changes in anxiety at the morning of the day of surgery. Open squares indicate changes in anxiety prior to the induction anaesthesia, i.e. placement of the oxygen mask. P-Values are given for the comparison between all three groups according to analysis of variance (ANOVA; marked with #) and post-hoc pairwise comparisons at the induction of anaesthesia as performed by unpaired t-Test.
Figure 4Surgery times. Extreme values were identified from the graphical display of individual surgery times per group.