基于数据挖掘探索改善脓毒症危重评分和预后的针刺选穴规律

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中图分类号：R245；R631 文献标识码：A文章编号：1006-1959（2025）09-0020-07

DOI：10.3969/j.issn.1006-1959.2025.09.004

Abstract：ObjectiveTexplorteacupntsletouleofcupunctureforiprovigsesiscricalsoeadprogosissedodataming MethodsPubdEbse，oaneraryKFangatadatabasereearcdutertocal trialsofacpuueireatfssisfroabtftabsecftcc SPSStatisticseler.oftaeedfofreqcatisstealsadoaills totalof6lcalraeudoing4potsitotofflatipotsiet frequencyofalatioanludogoutstsatse involvedTefisofltfeahoffoggantlef taiyinandthelageintestinemeridianofhandyangingAccodingtoeatributioofspecifcacupoints，thereere13tysofspecific acupoints，adfsseifcstowtottpl in the limbs and abdominal acupoints.Cluster analysis was performed onacupoints with application frequency >5 ，whenthe distancewas2O，four acupointpreitoeidchresguZogajsanliaaanHegQu Neiguan-SanjoiatiolealysatcuptseTassanlauudgali acordingtotedinderofupptrcetageCocuioIlicalcuuctureeantfsisusalas Xiajuxu，Guanyan，ZhonganandXiawanonthestomachmeridianoffotyangmingandRenmeridiancanbeusedasthemainacupoint prescriptionndQuchgungfuieeganuduptsapopratelyddeet acupointscanbe classified according to the specific clinical manifestations and syndrome types.

KeyWords：Data mining; Sepsis;Acupuncture; Acupoint selection rule; Prognosis

脓毒症（sepsis）为由机体对感染反应失调而引起威胁生命的器官功能障碍，是导致全球重症患者死亡的主要原因之一。（剩余7009字）