[Acupoint selection rules of post-stroke cognitive impairment treated with acupuncture based on ancient and modern medical record cloud platform].

OBJECTIVE

To analyze the acupoint selection rules of post-stroke cognitive impairment (PSCI) treated with acupuncture by ancient and modern medical record cloud platform (V1.5).

METHODS

The published randomized controlled trial (RCT) literature of PSCI treated with acupuncture was retrieved from CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, Cochrane Library and Web of Science, and the data was extracted to establish prescription database. The ancient and modern medical record cloud platform (V1.5) was used to analyze the data.

RESULTS

A total of 185 articles was included, involving 91 acupoints, the total using frequency was 1174 times. The top 5 acupoints in frequency of PSCI treated with acupuncture were Baihui (GV 20, 151 times), Shenting (GV 24, 97 times), Sishencong (EX-HN 1, 83 times), Neiguan (PC 6, 69 times) and Sanyinjiao (SP 6, 64 times); the most involved meridian was the governor vessel, and the generally used acupoints were mainly distributed in the head, face and neck. The top 5 acupoint combinations in frequency were Baihui (GV 20)-Shenting (GV 24, 89 times), Baihui (GV 20)-Sishencong (EX-HN 1, 79 times), Baihui (GV 20)-Neiguan (PC 6, 59 times), Baihui (GV 20)-Sanyinjiao (SP 6, 56 times) and Baihui (GV 20)-Zusanli (ST 36, 51 times). The acupoint combination with the strongest association was Shenting (GV 24)→Baihui (GV 20). There were 6 acupoint cluster groups according to the cluster analysis, and the main core prescription was Baihui (GV 20), Shenting (GV 24), Sishencong (EX-HN 1), Zusanli (ST 36), Neiguan (PC 6) and Sanyinjiao (SP 6).

CONCLUSION

Acupoints on the governor vessel, and distributed in head, face and neck are the main acupoints for PSCI treated with acupuncture, Baihui (GV 20), Shenting (GV 24), Sishencong (EX-HN 1), Zusanli (ST 36), Neiguan (PC 6) and Sanyinjiao (SP 6) can be used as the main acupoints, but it is still necessary to combine with syndrome differentiation.