Objective To evaluate the current situation of disease control in middle-aged and elderly patients with chronic obstructive pulmonary disease (COPD) and analyze the relationship with disease cognition. Methods Among the 360 middle-aged and elderly COPD patients diagnosed and treated in our hospital from January 2022 to June 2024 were retrospectively selected as research subjects, and the COPD Assessment Test Questionnaire (CAT), COPD Patient Knowledge Questionnaire (BCKQ) and the hampion Health Belief Model Scale were used to evaluate disease control, disease cognition and health beliefs in COPD patients. The Pearson chi-square test was used to analyze the relationship between disease control level and disease cognition and health beliefs in older patients with COPD. Results A total of 360 middle-aged and elderly COPD patients, 112 were in the complete control group, 189 were in the partial control group, and 59 were in the uncontrolled group, the disease control rate was 83.61%. The differences in disease cognitive scores, severity cognition, susceptibility cognition, disorder cognition, benefit cognition, health motivation, self-efficacy score and total health belief scores in middle-aged and elderly COPD patients with different disease control conditions are statistically significant. The scores of the complete control group were higher than those of partial control group and uncontrolled group, and the scores of partial control group were higher than those of the uncontrolled group (P <0.05). The disease control level of middle-aged and elderly patients with COPD is positively correlated with disease cognitive level and health belief in all dimensions. The higher the disease control level, the higher the disease cognitive level and health belief in the patient . Conclusions Middle-aged and elderly COPD patients still have insufficient awareness of the disease, and the level of disease control needs to be improved. There is a significant correlation between disease cognition, health beliefs and the level of disease control, and the improved cognitive level may help to improve the disease management and control effect. For middle-aged and elderly COPD patients, the community can provide health education courses, personalized health guidance and self-management training to enhance their awareness of diseases, so as to improve the long-term management of COPD and the quality of life of patients.

Objective:To construct a novel clinical prognosis signature for hepatocellular carcinoma (HCC) patients using T cell-related ubiquitination genes.Methods:Transcriptome and clinical data of 371 liver cancer and 50 normal samples were obtained from the TCGA database, and microarray sequencing data of 221 liver cancer samples were selected from the GSE14520 dataset. Single-cell RNA sequencing (scRNA-seq) data of HCC patients were analyzed to identify T cell-related marker genes. These were combined with ubiquitination-related genes. Weighted gene co-expression network analysis (WGCNA) was performed on TCGA transcriptome data to select key genes, resulting in the identification of T cell-related ubiquitination genes. A prognostic model was then constructed using LASSO-Cox regression. Finally, a nomogram was created by combining risk scores and clinical parameters. Count data were expressed by examples and percentages(%). Spearman correlation test was used for correlation analysis. Kaplan-Meier method and Log-rank test were used for survival analysis.Results:Initially, 1 458 T cell-related marker genes were identified. Intersection with 797 ubiquitination-related genes led to the identification of 94 common genes. WGCNA analysis revealed the prognosis-related module MEturquoise. After performing differential gene analysis, Kaplan-Meier analysis, and COX regression, 16 candidate genes were confirmed. LASSO-COX algorithm accurately selected five key genes- UBE2S, PSMD1, FBXL5, UBE2E1, and PSMA7—to construct the prognostic model. Kaplan-Meier analysis indicated that the risk score of the prognostic model was significantly associated with the prognosis of HCC patients (Log-rank test=0.001). Both univariate and multivariate COX regression analysed demonstrated that the risk score was an independent prognostic factor for HCC patients( P<0.05). Finally, a nomogram was constructed by combining the risk score and clinical parameters, providing a more accurate prediction of patient prognosis. Conclusion:The T cell-related ubiquitination gene prognostic model can effectively predict the prognosis of patients with liver cancer.

Objective To detect the association between subclinical hyperthyroidism and early neurological deterioration (END) in patients with acute cerebral infarction.Methods Totally 139 patients diagnosed with acute ischemic stroke were prospectively enrolled between March 2015 and September 2016.The early neurological deterioration was defined as 7-day in-hospital increase (vs.that at admission) in the NIHSS score of ≥2 points without any systemic cause.Multivariable Logistic regression analysis was conducted to evaluate the relationship between subclinical hyperthyroidism and END.Subclinical hyperthyroidism is defined as TSH ＜ 0.44 mU/L,with normal FT3 and FT4.Multivariable Logistic regression analysis was conducted to evaluate the relationship between subclinical hyperthyroidism and END.Results 42 (30.2％) patients with END among 139 with subclinical hyperthyroidism were observed.As compared with patients without END,patients with END showed older age[(71.2±5.7) years vs.(68.1±6.3) years,t=2.695,P=0.008],higher prevalence of subclinical hyperthyroidism (28.6％ vs.9.3％,x2 =8.506,P=0.006),and higher levels of C-reactive protein[5.6 (1.0,11.0) mg/L vs.2.5 (1.0,5.0) mg/L,Z=2.125,P=0.034],homocysteine[(15.3±5.8) mmol/L vs.(13.0±4.8) mmol/L,t=2.395,P=0.018]and fasting bloodglucose[(8.1 ± 2.2) mmol/L vs.(6.3 ± 2.6) mmol/L,t =4.108,P =0.001].Logistic regression analysis indicated that subclinical hyperthyroidism was associated with END after adjustment for potential confounders (OR =3.415,95 ％ CI:1.148-10.167,P =0.027).Conclusions Subclinical hyperthyroidism is a significant and independent predictor for END in patients with acute cerebral infarction.