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WANG Gang¹,ZHANG Yaqi²

(1.Department of Cardiology, Neixiang County People's Hospital, Nanyang 474300, China;2. Department of Cardiology, Pingdingshan Second People's 

Hospital, Pingdingshan 467000, China)

Abstract Objective To analyze the correlation between trimethylamine oxide ( TMAO )and gut microbiota andAbstractprognosis in patients with heart failure. ethods Selecting clinical data from 122 patients with heart failure, 42patients with with TMAO>2.58 pmol/L were classified as the high-evel group, 80 patients with TMAO <2.58 pmol/L, were classified as the low-level group. The results of gut microbiota detection between the two groupswere compared. and the correlation between TMAO levels and gut microbiota related parameters was analyzed.statistically analyze the occurrence of adverse prognosis in enrolled patients, compare the dierences in TMAO andgut microbiota parameters between the two groups, and verify the predictive efficacy of TMAO for adverse prognosisin heart failure patients, Results 'T'he richmess of gut microbiota( Chao index), diversity of gut microbiota( Shannonindex ) , clustering values of operational taxonomic units ( OTUs) of gut microbiota, and concentrations of Klebsiellaand Brucella in the high-level group were all lower than those in the low-level group. The concentrations ofSalmonella, Shigella, and Candida were all higher than those in the low-level group, showing a statisticallysignificant differenee( P<0.05 ). TMAO is positively correlated with the coneentrations of Salmonella, Shigella, andCandida, but negatively correlated with the coneentrations of Chao index, Shannon index, OTUs, Corinthia, andBrucella( P<0.05 ). TMAO levels have a high predictive power for poor prognosis of heart failure ( ACU>0.85 )Conclusion There is a certain correlation between TMAO levels and gut microbiota and prognosis in patients withheart failure . and the higher the TMAO level, the higher the incidence of adverse prognosis in patients.

Keywords : heart failure; trimethylamine oxide; intestinal microbiota; correlation analysis ; predictive performance

DOI:10.19296/i.cnki.1008-2409.2024-04-017

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