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Objectives: To investigate the frailty status of inpatients with chronic heart failure (CHF) and analyse its influencing factors, so as to provide evidence for the early identification of high‐risk groups and frailty management. Background: Early identification of frailty can guide the development and implementation of holistic and individualized treatment plans. However, at present, the frailty of patients with CHF has not attracted enough attention. Design: A cross‐sectional study. Methods: From June 2022 to June 2023, a convenience sample of 256 participants were recruited at a hospital in China. Multivariate logistic regression analysis was used to explore the influencing factors of frailty in patients with CHF, and an ROC curve was drawn to determine the cut‐off values for each influencing factor. STROBE checklist guides the reporting of the manuscript. Results: A total of 270 questionnaires were sent out during the survey, and 256 valid questionnaires were ultimately recovered, resulting in an effective recovery rate of 94.8%. The incidence of frailty in hospitalized patients with CHF was 68.75%. Multivariable logistic regression analysis showed that age, self‐care ability, nutritional risk, Kinesiophobia and NT‐proBNP were risk factors for frailty, while albumin and LVEF were protective factors. Conclusion: Multidimensional frailty was prevalent in hospitalized patients with CHF. Medical staff should take measures as early as possible from the aspects of exercise, nutrition, psychology and disease to delay the occurrence and development of frailty and reduce the occurrence of clinical adverse events caused by frailty. Relevance to Clinical Practice: This study emphasizes the importance of the early identification of multidimensional frailty and measures can be taken to delay the occurrence and development of frailty through exercise, nutrition, psychology and disease treatment. Patient or Public Contribution: Patients contributed through sharing their information required for the case report form and filling out questionnaires. [ABSTRACT FROM AUTHOR]

In order to solve the problem of deviation in quality grading of Angora rabbit (long-haired rabbit) hair in production, sales, trading and transaction, the national standards GSB 16-3743--2020 "Grading standard sample of Angora rabbit hair-white raw hair" was developed according to GB/T 13832--2009 "Angora rabbit hair". The standard sample complements and perfects GB/T 13832--2009 "Angora rabbit hair", through uniformity analysis, stability analysis, fixed value test and uncertainty analysis and so on, which can be used in the quality classification and grading quality of the rabbit trading of rabbit. The standard sample fills the gaps of Angora rabbit hair standard sample in China for a long time, and provides an important basis for the production, processing, trading and inspection of Angora rabbit hair. [ABSTRACT FROM AUTHOR]