Objective To investigate the situation and related factors of influenza vaccination among healthcare workers in Sichuan, and provide a basis for the formulation of the strategy of influenza vaccination. Methods From August 1st to August 6th, 2022, healthcare workers from 21 prefectures and cities in Sichuan province were selected by the hospital infection quality control centers to conduct an online questionnaire survey for status and related factors of influenza vaccination. Single factor analysis of vaccination rate was carried out by χ2 test, and the related factors of influenza vaccination were analyzed by binary multiple logistic regression model. Results A total of 3264 copies of questionnaires were distributed, and 3244 valid copies were recovered, with an effective recovery rate of 99.4%. The vaccination rate of influenza vaccine in the surveyed healthcare workers was 56.9% (1846/3244). The gender, age, professional title, position, department, hospital type, hospital nature, hospital level, influenza awareness, and influenza vaccination willingness were the factors resulting in statistically significant differences in influenza vaccination rate among healthcare workers (P<0.05). Binary multiple logistic regression indicated that age≥35 years old [odds ratio (OR)=0.799, 95% confidence interval (CI) (0.681, 0.937), P=0.006], the educational background being bachelor degree or above [OR=1.221, 95%CI (1.036, 1.439), P=0.017], position [nurses vs. doctors: OR=1.339, 95%CI (1.112, 1.612), P=0.002; technicians vs. doctors: OR=1.849, 95%CI (1.278, 2.676), P=0.001], the hospital type being specialized hospital [OR=1.804, 95%CI (1.446, 2.251), P<0.001], hospital level [secondary vs. primary hospitals: OR=0.344, 95%CI (0.271, 0.437), P<0.001; tertiary vs. primary hospitals: OR=0.526, 95%CI (0.413, 0.671), P<0.001], influenza awareness [fair vs. poor: OR=1.262, 95%CI (1.057, 1.508), P=0.010; good vs. poor: OR=1.489, 95%CI (1.142, 1.940), P=0.003], vaccination willingness [OR=4.725, 95%CI (4.009, 5.569), P<0.001] were related factors of influenza vaccination in healthcare workers. The influenza awareness was good in 416 healthcare workers (12.8%), fair in 1989 (61.3%), and poor in 839 (25.9%). The correct rate of influenza vaccination frequency was the highest (82.7%), while the correct rate of influenza contraindication was the lowest (3.2%). Among the healthcare workers, 2206 (68.0%) were willing to be vaccinated, of whom 1548 (70.2%) believed that they could protect people with weak immune function around them after vaccination; 1038 were unwilling to be vaccinated with influenza vaccine in the near future, of whom 335 (32.3%) believed that they had strong immunity and did not need to be vaccinated. Conclusions The influenza vaccination rate of medical staff is related to a variety of factors. Strengthening the publicity and education, and encouraging hospitals to provide free influenza vaccination, especially the correct understanding of contraindications, may be helpful to improve the vaccination rate.
ObjectiveTo analyze the causal relationship between obstructive sleep apnea (OSA) with its typical symptoms (daytime sleepiness and snoring) and cardiovascular diseases (hypertension, coronary heart disease, myocardial infarction, heart failure) by using Mendelian randomization. MethodsWe used the instrumental variables (IV) in the FINNGen database and the UK Biobank to perform two-sample Mendelian randomization (TSMR) analysis. The results of random-effects inverse variance weighting method (IVW) were the main results. MR-Egger method was used for pleiotropic analysis and sensitivity analysis was performed by the leave-one-out method to verify the reliability of the data. ResultsOSA could lead to hypertension (IVW β=0.043, 95%CI 0.012 to 0.074, P=0.006) and heart failure (IVW β=0.234, 95%CI 0.015 to 0.452, P=0.036). Daytime sleepiness also had a pathogenic effect on heart failure (IVW β=1.139, 95%CI 0.271 to 2.006, P=0.010). There was no causal association between OSA and CHD or MI, snoring and the four CVDs. There was no causal association between daytime sleepiness and hypertension, CHD or MI.ConclusionOSA and daytime sleepiness have pathogenic effects on hypertension and heart failure, with heart failure being the most affected.
Diabetic panvasculopathy refers to a clinical syndrome in which a wide range of blood vessels (including heart, brain, kidney, eye, peripheral and other large vessels and microvessels) in diabetic patients have atherosclerosis as the common pathological feature, cardiovascular and cerebrovascular events as the main outcome, and active intervention of metabolic abnormalities is helpful to improve the prognosis. Early diagnosis, early prevention and active exploration of clear therapeutic targets are very important to prevent and delay the occurrence and development of diabetic panvasculopathy, but they are also challenges at present. The cardiorenal benefit of new hypoglycemic drugs is independent of blood glucose control, which has attracted increasing academic attention. The concept of panvasculopathy in diabetes plays an important role in improving the comprehensive management of the disease and multidisciplinary collaborative diagnosis and treatment, which is helpful to promote the vigorous development of the subspecialty of panvasculopathy and the continuous improvement of the comprehensive prevention and treatment level.
Objective To investigate the feasibility of diagnosis of potential chronic obstructive pulmonary disease (COPD) patients who cannot finish the pulmonary function test via biphasic CT scan. Methods Sixty-seven male individuals aged 43 to 74 (57.0±5.9) years were divided into a COPD group (n=26) and a control group (n=41). All individuals underwent biphasic quantitative CT scan for calculating the proportion of emphysema, functional small airway disease, and normal component of the whole lung and each lobe. Results Based on principle component analysis, two principal components “imaging feature function 1 and imaging feature function 2” were calculated and analyzed by logistic regression, which found that imaging feature function 1 was an independent risk factor of COPD (odds ratio=8.749, P<0.001), and imaging features function 1 could be used to assist the diagnosis of COPD (area under receiver operating characteristic curve=0.843, P<0.001). Conclusion Imaging features function 1 is an independent risk factor for COPD and can assist the diagnosis of COPD.