Meta-Analysis of Electroacupuncture in Cardiac Anesthesia and Intensive Care.


BACKGROUND Acupuncture treatment has been employed in China for over 2500 years and it is used worldwide as analgesia in acute and chronic pain. Acupuncture is also used in general anesthesia (GA). The aim of this systematic review and meta-analysis was to assess the efficacy of electroacupuncture (EA) in addition to GA in patients undergoing cardiac surgery. METHODS We searched 3 databases (Pubmed, Cochrane Library, and Web of Science-from 1965 until January 31, 2017) for randomized controlled trials (RCTs) including patients undergoing cardiac surgery and receiving GA alone or GA + EA. As primary outcomes, we investigated the association between GA + EA approach and the dosage of intraoperative anesthetic drugs administered, the duration of mechanical ventilation (MV), the postoperative dose of vasoactive drugs, the length of intensive care unit (ICU) and hospital stay, and the levels of troponin I and cytokines. RESULTS The initial search yielded 477 citations, but only 7 prospective RCTs enrolling a total of 321 patients were included. The use of GA + EA reduced the dosage of intraoperative anesthetic drugs ( P < .05), leading to shorter MV time ( P < .01) and ICU stay ( P < .05) as well as reduced postoperative dose of vasoactive drugs ( P < .001). In addition, significantly lower levels of troponin I ( P < .01) and tumor necrosis factor α ( P < .01) were observed. CONCLUSION The complementary use of EA for open-heart surgery reduces the duration of MV and ICU stay, blunts the inflammatory response, and might have protective effects on the heart. Our findings stimulate future RCT to provide definitive recommendations.

DOI: 10.1177/0885066617708558

Cite this paper

@article{Asmussen2017MetaAnalysisOE, title={Meta-Analysis of Electroacupuncture in Cardiac Anesthesia and Intensive Care.}, author={Sven Asmussen and Ren{\'e} Przkora and Dirk M. Maybauer and J. F. Fraser and Filippo Sanfilippo and Kristofer Jennings and Michael Adamzik and Marc Oliver Maybauer}, journal={Journal of intensive care medicine}, year={2017}, pages={885066617708558} }