Objective:To explore the characteristics and typology of self-care behavior among patients with chronic heart failure (CHF), and analyze their influencing factors.Methods:A cross-sectional study was used. A total of 318 patients with CHF who were hospitalized in the Heart Center of Zhongshan Hospital, Fudan University from November 2022 to July 2023 were selected by continuous enrollment method. The General Information Questionnaire, Heart Failure Self-care Index Scale, Brief Illness Perception Questionnaire, Self-efficacy for Managing Chronic Disease 6-item Scale, Perceived Social Support Scale, Atlanta Heart Failure Knowledge Test-V2 and Self-Care Confidence Scale were used to investigate. Latent profile analysis was utilized to delineate the characteristics and subtypes of self-care behaviors in CHF patients and examine the influencing factors.Results:A total of 291 patients were included in this study, including 190 males and 101 females, aged 67 (61, 74) years old. The analysis identified three latent categories of self-care behaviors among CHF patients: 26 cases in high self-care group, 131 cases in moderate self-care with deficiencies in maintenance and symptom perception group, and 134 cases in low self-care group.Ordered multicategorical Logistic regression analysis revealed that age ( OR=1.023, 95% CI 1.001-1.046, P<0.05), self-care confidence ( OR=0.859, 95% CI 0.817-0.904, P<0.01), and social support ( OR=0.966, 95% CI 0.940-0.993, P<0.05) were the factors influencing the potential categories of self-care behavior in CHF patients. Conclusions:The study identifies distinct categorical characteristics of self-care behaviors in patients with CHF. Healthcare professionals can leverage these findings to identify the self-care behavior characteristics and influencing factors for each patient category at an early stage, thereby providing personalized and precise support strategies to help patients enhance self-care behaviors.

Biochemistry/history* ; China ; Exercise/physiology* ; History, 20th Century ; History, 21st Century ; Humans ; Sports Medicine/history*

OBJECTIVE: To investigate the serum microRNA (miRNA) expression and examine the impact of miRNA expression profiles on T helper type 17 (Th17)/regulatory T cells (Treg) imbalance among patients with cystic echinococcosis, so as to provide insights into the illustration of the mechanisms underlying chronic Echinococcus granulosus infections, and long-term pathogenesis. METHODS: Total RNA was extracted from the sera of cystic echinococcosis patients and healthy controls, and subjected to high-throughput sequencing with the Illumina sequencing platform. Known miRNAs were annotated and new miRNAs were predicted using the miRBase database and the miRDeep2 tool, and differentially expressed miRNAs were identified. The target genes of differentially expressed miRNAs were predicted using the software miRanda and TargetScan, and the intersection was selected for Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Among the differentially expressed miRNAs with the 20 highest fold changes, miRNAs that targeted genes relating to key transcription factors RORC and FOXP3 that determine the production of Th17 and Treg cells or their important regulatory pathways (PI3K-Akt and mTOR pathways) were matched. RESULTS: A total of 53 differentially expressed miRNAs were screened in sera of cystic echinococcosis patients and healthy controls, including 47 up-regulated miRNAs and 6 down-regulated miRNAs. GO enrichment analysis showed that these differentially expressed miRNA were involved DNA transcription and translation, cell components, cell morphology, neurodevelopment and metabolic decomposition, and KEGG pathway analysis showed that the differentially expressed miRNA were mainly involved in MAPK, PI3K-Akt and mTOR signaling pathways. Among the differentially expressed miRNAs with the 20 highest fold changes, there were 3 miRNAs that had a potential for target regulation of RORC, and 15 miRNAs that had a potential to target the PI3K-Akt and mTOR signaling pathways. CONCLUSIONS Significant changes are found in serum miRNA expression profiles among patients with E. granulosus infections, and differentially expressed miRNAs may lead to Th17/Treg imbalance through targeting the key transcription factors of Th17/Treg or PI3K-Akt and mTOR pathways, which facilitates the long-term parasitism of E. granulosus in hosts and causes a chronic disease.
Echinococcosis/genetics* ; Gene Expression Profiling ; Humans ; MicroRNAs/metabolism* ; Phosphatidylinositol 3-Kinases/genetics* ; Proto-Oncogene Proteins c-akt/genetics* ; T-Lymphocytes, Regulatory ; TOR Serine-Threonine Kinases/genetics* ; Th17 Cells ; Transcription Factors/genetics*