| Literature DB >> 23573118 |
Anna Maimer1, Andrew Remppis, Falk-Udo Sack, Stefanie Ringes-Lichtenberg, Tobias Greten, Frank Brazkiewicz, Sven Schröder, Mario Goncalves, Thomas Efferth, Henry Johannes Greten.
Abstract
Rationale. Poststernotomy pain and impaired breathing are common clinical problems in early postoperative care following heart surgery. Insufficiently treated pain increases the risk of pulmonary complications. High-dose opioids are used for pain management, but they may cause side effects such as respiratory depression. Study Design. We performed a prospective, randomized, controlled, observer-blinded, three-armed clinical trial with 100 patients. Group 1 (n = 33) and Group 2 (n = 34) received one 20 min session of standardized acupuncture treatment with two different sets of acupoints. Group 3 (n = 33) served as standard analgesia control without additional intervention. Results. Primary endpoint analysis revealed a statistically significant analgesic effect for both acupuncture treatments. Group 1 showed a mean percentile pain reduction (PPR) of 18% (SD 19, P < 0.001). Group 2 yielded a mean PPR of 71% (SD 13, P < 0.001). In Group 1, acupuncture resulted in a mean forced vital capacity (FVC) increase of 30 cm(3) (SD 73) without statistical significance (P = 0.303). In Group 2, posttreatment FVC showed a significant increase of 306 cm(3) (SD 215, P < 0.001). Conclusion. Acupuncture revealed specific analgesic effects after sternotomy. Objective measurement of poststernotomy pain via lung function test was possible.Entities:
Year: 2013 PMID: 23573118 PMCID: PMC3612470 DOI: 10.1155/2013/219817
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.629
Acupoint selection in Group 1 (control acupuncture).
| Engl. abbr. | Latin abbr. | Latin notation | Chinese notation | Needling technique | Localisation |
|---|---|---|---|---|---|
| LI 4 | IC 4 | Valles coniunctae | Hegu | blood-letting | bilateral |
| SI 6 | IT 6 | Senectus felix | Yanglao | blood-letting | bilateral |
| BL 60 | V 60 | Olympus | Kunlun | blood-letting | bilateral |
| Ex 1 | Ex 1 | Atrium impressionis | Yintang | conventional needle insertion | median |
| GV 20 | Rg 20 | Conventus omnium | Baihui | conventional needle insertion | median |
| GB 8 | F 8 | Apex auriculi | Erdian/Shuanijue | conventional needle insertion | bilateral |
| ST 8 | S 8 | Retinens capitis | Touwei | conventional needle insertion | bilateral |
Acupoint selection in Group 2 (classical Chinese acupuncture).
| Engl. abbr. | Latin abbr. | Latin notation | Chinese notation | Needling technique | Localisation |
|---|---|---|---|---|---|
| PC 6 | PC 6 | Clusa interna | Neiguan | blood-letting | bilateral |
| ST 34 | S 34 | Monticuli septi | Liangqiu | blood-letting | bilateral |
| SP 10 | L 10 | Mare xue | Xuehai | conventional needle insertion | bilateral |
| ST 44 | S 44 | Vestibulum internum | Neiting | blood-letting | bilateral |
| K 3 | R 3 | Rivulus major | Taixi | conventional needle insertion | bilateral |
| LIV 2 | H 2 | Interstitium ambulatorium | Xingjian | conventional needle insertion | bilateral |
Figure 1Participant flow.
Patients' characteristics at baseline.
| Group 1 | Group 2 | Group 3 (control) | Total |
| |
|---|---|---|---|---|---|
|
| 33 | 34 | 33 | 100 | |
| Male gender* | 24 (73%) | 22 (65%) | 26 (79%) | 72 (72%) | 0.436∞ |
| Age (years) | 0.295# | ||||
| Mean (SD) | 65 (10) | 68 (11) | 66 (10) | 66 (10) | |
| BMI (kg/m2) | 0.515# | ||||
| Mean (SD) | 28 (4) | 29 (5) | 29 (4) | 28 (4) | |
| Operation type | |||||
| On-bypass* | 33 (100%) | 34 (100%) | 33 (100%) | 100 (100%) | |
| Coronary revascularisation* | 17 (51%) | 20 (58%) | 21 (63%) | 58 (58%) | |
| Valve reconstruction or replacement* | 15 (45%) | 14 (41%) | 15 (45%) | 44 (44%) | |
| Aortic reconstruction after dissection* | 1 (3%) | 0 (0%) | 0 (%) | 1 (1%) | |
| Chest pain baseline (0–10 NRS) | |||||
| Median (IQR) | 6 (2) | 5 (2) | 5 (2) | 5 (2) | 0.653# |
| Mean (SD) | 5.5 (1.2) | 5.2 (1.4) | 5.3 (1.3) | 5.3 (1.3) | |
| FVC baseline (cm3) | |||||
| Median (IQR) | 1200 (600) | 1000 (550) | 1200 (400) | 1150 (600) | 0.082# |
| Mean (SD) | 1294 (426) | 1147 (405) | 1275 (325) | 1238 (390) |
*The numbers in parentheses display the percentage for dichotomous variables.
# P values were calculated using the Kruskal-Wallis test.
∞ P values were calculated using the χ 2-test.
Abbreviations—SD: standard deviation; IQR: interquartile range.
Figure 2Distribution of PPR. Box-and-whisker plots represent lower quartile, median, upper quartile, maximum, minimum, outliers, and extreme values.
Figure 3Distribution of FVC changes from baseline FVC. Box-and-whisker plots represent lower quartile, median, upper quartile, maximum, minimum, outliers, and extreme values.
Figure 4Correlation between PPR and posttreatment FVC changes in Group 2. Circles that are more intensely marked represent co-ordinates that occurred several times. The dotted line represents the lower limit for meaningful FVC changes (≥300 cm3).
Figure 5Subgroup analysis. Quota of clinically significant FVC increases (+≥300 cm3) in the individual PPR subgroups of Group 2.