Pathogenic bacteria distribution and serum indicator levels as well as their relationship with cardiac function in CHF patients complicated with PI
Li Panpan
Wang Jia
Wang Pengfei
Zhi Zhongyi
Wang Zhaoli
Abstract：Objective To analyze the distribution of pathogenic bacteria,changes in serum levels of long non-coding ribonucleic acid(lncRNA)nuclear enriched abundant transcript 1(NEAT1),Ga-lectin-3,and monocyte chemotactic protein-1(MCP-1),and their relationship with cardiac func-tion in patients with chronic heart failure(CHF)complicated with pulmonary infection(PI).Methods A total of 278 CHF patients treated in the Second Cardiovascular Ward of the Third Affiliated Hospital of Henan University of Chinese Medicine from January 2020 to February 2022 were recruited,and according to the occurrence of PI or not,they were divided into a PI group(98 cases)and a non-PI group(180 cases).The distribution of pathogenic bacteria in the PI group was analyzed.ROC curves were plotted to evaluate the predictive value of serum indicators for PI in CHF patients.Results Among the 98 CHF patients with PI,161 strains of pathogenic bacteria were detected,with Gram-negative(G-)bacteria most prevalent,accounting for 114 strains(70.8％).Serum levels of lncRNA NEAT1,Galectin-3,and MCP-1 were significantly higher in the PI group than the non-PI group(P＜0.01).Pearson correlation analysis showed that serum levels of lncRNA NEAT1,Galectin-3,and MCP-1 were positively correlated with cardiac function(r=0.794,r=0.523,r=0.709,P＜0.01).ROC curve analysis revealed that the combined detec-tion of serum lncRNA NEAT1,Galectin-3,and MCP-1 had the highest predictive value for PI in CHF patients than each indicator alone,and the AUC value,sensitivity,and specificity of the com-bined detection was 0.926,84.54％,and 92.78％,respectively(P＜0.01).Conclusion Gram-negative bacteria are predominant type of pathogenic bacteria in CHF patients with PI.Serum levels of lncRNA NEAT1,Galectin-3,and MCP-1 are increasing with the occurrence of infection and worsening of cardiac function.Combined detection of these indicators provides higher predic-tive value for PI in CHF patients.
Keywords：heart failurelung diseasesGram-negative bacteriagalectin 3heart function tests
Publication Date：2025-06-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 747-751 )