Objective: To explore the application effectiveness of multidisciplinary team (MDT) in the diagnosis and treatment of chronic refractory wounds, and to provide new ideas for optimizing the clinical diagnosis and treatment of such diseases.
Methods: A retrospective analysis was performed on the clinical data of patients with chronic refractory wounds who underwent surgery at Peking University Third Hospital from January 2015 to October 2023, and a total of 456 patients, including 290 males and 166 females, with an average age of (49.4±16.9) years. According to whether preoperative MDT discussion was conducted, the patients were divided into MDT discussion group and non-MDT discussion group. The overall implementation process of MDT included: Starting and recording with the medical office, collecting data and discussing the initial MDT, informing the patient of the treatment plan and strictly implementing it, and the change of the condition needs to be discussed again by MDT. The general clinical data, anesthesia risk grade, complications (hypertension, diabetes, coronary heart disease), and the etiology and location of chronic refractory wounds between the two groups were compared. The main observational measurements and outcome indicators of treatment effectiveness included the number of surgeries required to achieve wound healing after admission, the recurrence rate after wound healing, the incidence of perioperative complications (pulmonary infection, severe cardiovascular event, vein thrombus embo-lism, cerebral stroke and delirium, .), and patient satisfaction score.
Results: There were 189 patients in the MDT discussion group and 267 patients in the non-MDT discussion group. There was no significant statistical difference in the clinical data, such as age, gender, body mass index, American Society of Anesthesiologists, comorbidities, etiology, and location of chronic refractory wounds between the two groups (>0.05). The average number of surgeries required for wound healing in MDT discussion group and non-MDT discussion group was 2.1±1.1 and 2.8±1.6, respectively, with a statistically significant difference ( < 0.001). This difference was also significant in chronic refractory wounds caused by three etiologies: Diabetic ulcer, infection after trauma or surgery, and non-union after radiotherapy ( < 0.05). The recurrence rate of the patients in the non-MDT discussion group after wound healing was 18.0%, slightly higher than that in the MDT discussion group of 14.3% (>0.05). In terms of perioperative complications, the non-MDT discussion group also had a higher incidence (3.7% . 2.6%), but the difference was not statistically significant (>0.05). In terms of patient satisfaction, the MDT discussion group scored significantly higher (96.5 . 91.1, =0.028).
Conclusion: The MDT mode can significantly reduce the number of surgeries for patients with chronic refractory wounds, improve the effectiveness of therapy and increase patient satisfaction. It is a recommended model for optimizing the clinical diagnosis and treatment effectiveness of chronic refractory wounds.
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Acc Chem Res
January 2025
Helmholtz Institute Ulm (HIU) Electrochemical Energy Storage, Helmholtzstrasse 11, 89081 Ulm, Germany.
ConspectusLithium-ion batteries (LIBs) based on graphite anodes are a widely used state-of-the-art battery technology, but their energy density is approaching theoretical limits, prompting interest in lithium-metal batteries (LMBs) that can achieve higher energy density. In addition, the limited availability of lithium reserves raises supply concerns; therefore, research on postlithium metal batteries is underway. A major issue with these metal anodes, including lithium, is dendritic formation and insufficient reversibility, which leads to safety risks due to short circuits and the use of flammable electrolytes.
View Article and Find Full Text PDFBMC Public Health
January 2025
Research Institute for Healthcare Policy, Korean Medical Association, Yongsan-gu, Seoul, South Korea.
Background: In 2024, the Korean Ministry of Health and Welfare enforced a policy to increase the number of medical school students by 2,000 over the next 5 years, despite opposition from doctors. This study aims to predict the trend of excess or shortage of medical personnel in Korea due to the policy of increasing the number of medical school students by 2035.
Methods: Data from multiple sources, including the Ministry of Health and Welfare, National Health Insurance Corporation, and the Korean Medical Association, were used to estimate supply and demand.
BMC Nurs
January 2025
Nursing Department, Hamad Medical Corporation, Doha, P.O. Box 3050, Qatar.
Background: Artificial Intelligence (AI) is increasingly applied in healthcare to boost productivity, reduce administrative workloads, and improve patient outcomes. In nursing, AI offers both opportunities and challenges. This study explores nurses' perspectives on implementing AI in nursing practice within the context of Jordan, focusing on the perceived benefits and concerns related to its integration.
View Article and Find Full Text PDFSci Rep
January 2025
Ministry of Higher Education, Mataria Technical College, Cairo, 11718, Egypt.
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. The method entails several steps with CNN models: ADa-22 and AD-22, transformer networks, and an SVM classifier, all inbuilt.
View Article and Find Full Text PDFZhonghua Nei Ke Za Zhi
February 2025
Department of Rheumatology, the First Affiliated Hospital of Harbin Medical University, Harbin150001, China.
Using the Global Burden of Disease Study 2019 (GBD 2019) database, the Joinpoint regression model was used to analyze the trend of rheumatoid arthritis (RA) incidence and the standardized disability-adjusted life years (DALY) rate in China. The age, period, and cohort effects were discussed based on the age-period-cohort model. The grey prediction model GM (1, 1) was used to fit the trend of incidence and the standardized DALY rate of RA and predict the incidence and standardized DALY rate of RA in China from 2020 to 2034.
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