Deep Learning-Based Postoperative Recovery and Nursing of Total Hip Arthroplasty.

Objective: To develop a deep learning-assisted recovery and nursing system after total hip arthroplasty and to conduct clinical trials in order to verify its accuracy. Methods: In our study, based on manual labeling, the human hip X-ray image library was established, and the deep neural network based on Mask R-CNN was built. The labeled medical images were used to train the model, providing reference for nursing decision after hip replacement. A total of 80 patients with hip injury from 2016 to 2019 were selected for the study. In our paper, the patients were divided into experimental group and control group. The pertinence and effectiveness of the model for postoperative care were evaluated by comparing the hip pain (VAS index), recovery (Harris score), self-care ability (Barthel index), and postoperative complication rate between the two groups. Results: The pain and complications in the experimental group were significantly lower than those in the control group, the difference being statistically significant (P < 0.05); the recovery of hip joint and self-care ability were higher than those in the control group, the difference being statistically significant (P < 0.05); the other differences were not statistically significant (P > 0.05). Conclusion: The application of deep learning method in the rapid nursing after total hip replacement can significantly improve the nursing ability. Compared with the traditional method, it has stronger pertinence, faster postoperative recovery, lower incidence of complications, and greatly improves the postoperative quality of life of patients with hip injury.

Perceptions of Reducing Tube Feeding for Persons with Advanced Dementia among Various Professions in a Teaching Hospital.

BACKGROUND: Even though no evidence suggests tube feeding is beneficial for individuals with advanced dementia, many are still tube fed. OBJECTIVE: To assess perceptions of hospital staff regarding reducing tube feeding (RTF) of patients with advanced dementia. DESIGN: Cross-sectional survey. SETTING: A regional teaching hospital in Taipei, Taiwan. SUBJECTS: Hospital staff (n = 624), including physicians, nurses, dieticians, paramedical personnel, social workers, volunteers, attendants, and administrators. MEASUREMENTS: Anonymous questionnaires. RESULTS: The overall awareness of RTF for advanced dementia patients averaged 10.2 ± 3.74 points (maximum, 19 points) among all respondents. Among the different hospital professions, dieticians scored the highest, whereas nurses and attendants/volunteers had relatively low scores. Over half of respondents (57%) agreed tube feeding is the best choice for advanced dementia with dysphagia. Physicians of different specialties had significantly different responses toward RTF with regard to the belief that tube feeding reduces the risk of aspiration pneumonia, referring patients who refuse tube feeding to other health care team members, and the belief that family members would be able to accept the patient's death along with insufficient food/fluid intake. Only 35.1% of respondents believed they were able to implement comfort feeding. CONCLUSIONS: The present survey shows a persistent knowledge gap among various health care professions regarding tube feeding of patients with advanced dementia. Also, there is insufficient awareness about this subject, indicating that promotion of comfort feeding by enhanced training and communication within medical teams is essential to achieving better person-centered care and preventing unnecessary suffering.

Associations between Respiratory Diseases and Dietary Patterns Derived by Factor Analysis and Reduced Rank Regression.

BACKGROUND/AIMS: The study aims to identify children's dietary patterns and explore the relationship between dietary patterns and respiratory diseases. METHODS: Subjects were 2,397 fourth graders in 14 Taiwanese communities who participated in the Taiwan Children Health Study. This study is based on an evaluation of dietary patterns, performed from April until June 2011. Information pertaining to respiratory disease was obtained by The International Study of Asthma and Allergies in Childhood questionnaire, and dietary intake data obtained by food frequency questionnaire. Factor analysis and reduced rank regression (RRR) were both used to analyze dietary patterns. RESULTS: Using factor analysis, it was found that children on a high-protein, high-fat, Western diet had a significantly higher risk of allergic rhinitis (OR 1.10, 95% CI 1.01-1.20). Lower ORs were noted for current wheezing, ever asthma and bronchitis in children eating a healthy diet than those on a high-protein, high-fat, Western diet. Using RRR, it was found that children on a high-protein, high-fat diet had significantly higher risks of allergic rhinitis (OR 1.17, 95% CI 1.07-1.27), current wheezing (OR 1.23, 95% CI 1.04-1.45) and bronchitis (OR 1.26, 95% CI 1.09-1.46). CONCLUSIONS: A diet rich in fat and protein may increase the risk of respiratory disease in children.