Objective To develop a multidisciplinary nursing program for Prader-Willi syndrome with spinal deformity and evaluate its effectiveness in clinical practice. Methods In July 2016, a multidisciplinary collaborative team was established before the treatment of children with Prader-Willi syndrome complicated with spinal deformity. For the nursing difficulties in the perioperative period, relevant literature was consulted, and a multidisciplinary collaborative nursing plan was formulated, which included nutrition management and blood glucose control, management of obstructive sleep apnea hypopnea syndrome, behavioral intervention related to mental change, and early identification and management of complications. The developed multidisciplinary collaborative nursing program was applied to three children with Prader-Willi syndrome complicated with spinal deformity in Peking Union Medical College Hospital from July 2016 to October 2018, and their postoperative recovery was evaluated. Results One child had inguinal skin ulceration when admitted to hospital, which was significantly improved after active treatment. The perioperative blood glucose level control of the three children was satisfactory, and there was no postoperative gastrointestinal dysfunction, deep wound infection, respiratory complications, internal fixation failure or other complications, and no asphyxia, fall, loss, or other adverse events. The follow-up compliance after discharge was 100%. Conclusions Multidisciplinary collaboration programs can escort patient’ safety and promote their recovery, improve the professional level of nursing staff, and reflect the nursing value. As a working mode, it can be further popularized and used for reference in the nursing of other difficult diseases.
Objective To investigate the compliance status of intermittent pneumatic compression device (IPCD) in patients after lumbar surgery, and to analyze the reasons and influencing factors affecting compliance. Methods The continuous enrollment method was used to select patients who underwent posterior decompression for lumbar degenerative diseases in the orthopedic department of Peking Union Medical College Hospital between December 2022 and June 2023. The general information of patients and their compliance with IPCD were collected, and the reasons that affected compliance were analyzed. ResultsA total of 46 patients were included. The overall proportion of patients with good compliance was relatively low, and their compliance was poor. On the first and second day after surgery, the daytime compliance was relatively good (the proportion range of excellent compliance was 39%-52%); the compliance at night was significantly lower than that during the daytime (the proportion range of excellent compliance was 21%-26%); after 3 days of surgery, the patients’ compliance significantly decreased. A total of 460 time periods were observed and 195 reasons for not using IPCD were collected. The main reasons were physical discomfort caused by the device, inconvenience during bedside activities, and little significance to the patient. The compliance of female patients was better than that of males (P<0.05). Patients with education level of primary school and below had the highest compliance, while patients with high school and above had the lowest compliance (P<0.05). There was no statistically significant difference in compliance among patients of different age groups (P>0.05). Conclusions The overall compliance of patients with IPCD after lumbar surgery is poor, which is an urgent clinical problem, and the adaptability and cognitive level of patients to the device are the main factors affecting compliance. In clinical nursing work, men and patients with higher education level should be strengthened.
As precision medicine continues to gain momentum, the number of predictive model studies is increasing. However, the quality of the methodology and reporting varies greatly, which limits the promotion and application of these models in clinical practice. Systematic reviews of prediction models draw conclusions by summarizing and evaluating the performance of such models in different settings and populations, thus promoting their application in practice. Although the number of systematic reviews of predictive model studies has increased in recent years, the methods used are still not standardized and the quality varies greatly. In this paper, we combine the latest advances in methodologies both domestically and abroad, and summarize the production methods and processes of a systematic review of prediction models. The aim of this study is to provide references for domestic scholars to produce systematic reviews of prediction models.
The use of clinical predictive modeling to guide clinical decision-making and thus provide accurate diagnosis and treatment services for patients has become a clinical consensus and trend. However, the models available for clinical use are more limited due to unstandardised research methods and poor quality of evidence. This paper introduces the development process of clinical prediction models from six aspects, data collection, model development, performance evaluation, model validation, model presentation and model updating, as well as the clinical prediction model research report statement and risk of bias assessment tools in order to provide methodological references for domestic researchers.