Objective:To explore the influencing factors and related countermeasures of malnutrition in patients with chronic liver failure (CLF) .Methods:The convenient sampling method was used to select 80 CLF patients admitted to Hangzhou First People's Hospital from March 2019 to March 2021. The clinical data of CLF patients were collected and patients were divided into the malnutrition group (57 cases) and the non-malnutrition group (23 cases) according to the presence or absence of malnutrition. Logistic regression analysis was used to explore the influencing factors of malnutrition in CLF patients, and to propose corresponding nursing strategies.Results:The incidence of malnutrition in 80 CLF patients was 71.25%. Between malnutrition group and non-malnutritrion group, there were statistical differences in age, smoking, body mass index (BMI) , disease course, etiological composition, Child-Push classification, number of adverse events, triceps skin fold thickness (TSF) , arm muscle circumference (AMC) , gastrocnemius muscle circumference (GC) , prealbumin (PA) and albumin (ALB) ( P<0.05) . Multivariate Logistic regression analysis showed that age, smoking, etiology, Child-Push classification and number of adverse events were the influencing factors of malnutrition in CLF patients ( P<0.05) . Conclusions:There are many influencing factors of malnutrition in CLF patients, and medical staff should warn the relevant factors and give targeted predictive nursing interventions to reduce the risk of malnutrition in patients.

Objective: Progressive supranuclear palsy (PSP) involves a variety of visual symptoms that are thought to be partially caused by structural abnormalities of the retina. However, the relationship between retinal structural changes, disease severity, and intracranial alterations remains unknown. We investigated distinct retinal thinning patterns and their relationship with clinical severity and intracranial alterations in a PSP cohort. Methods: We enrolled 19 patients with PSP (38 eyes) and 20 age-matched healthy controls (40 eyes). All of the participants underwent peripapillary and macular optical coherence tomography. Brain 11C-2β-carbomethoxy-3β-(4-fluorophenyl) tropane (11C-CFT) and 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography imaging were also performed in patients with PSP. We investigated the association between retinal thickness changes and clinical features, striatal dopamine transporter availability, and cerebral glucose metabolism. Results: The peripapillary retinal nerve fiber layer (pRNFL) and macula were significantly thinner in patients with PSP than in controls. The thickness of the superior sector of the pRNFL demonstrated a significant negative relationship with the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale part III and Hoehn and Yahr staging scale scores. A significant negative correlation was found between outer inferior macular thickness and disease duration. Outer temporal macular thickness was positively correlated with Montreal Cognitive Assessment scores. In PSP, lower outer temporal macular thickness was also positively correlated with decreased dopamine transporter binding in the caudate. Conclusion The pRNFL and macular thinning may be candidate markers for monitoring disease severity. Additionally, macular thinning may be an in vivo indicator of nigrostriatal dopaminergic cell degeneration in PSP patients.