ObjectiveTo provide recommendations for the management of intensive care unit patients without novel coronavirus disease 2019 (COVID-19).MethodsWe set up a focus group urgently and identified five key clinical issues through discussion. Total 23 databases or websites including PubMed, National Guideline Clearing-House, Chinese Center for Disease Control and Prevention and so on were searched from construction of the library until February 28, 2020. After group discussion and collecting information, we used GRADE system to classify the evidence and give recommendations. Then we apply the recommendations to manage pediatric intensive care unit in the department of critical care medicine in our hospital. ResultsWe searched 13 321 articles and finally identified 21 liteteratures. We discussed twice, and five recommendations were proposed: (1) Patients should wear medical surgical masks; (2) Family members are not allowed to visit the ward and video visitation are used; (3) It doesn’t need to increase the frequency of environmental disinfection; (4) We should provide proper health education about the disease to non-medical staff (workers, cleaners); (5) Medical staff do not need wear protective clothing. We used these recommendations in intensive care unit management for 35 days and there was no novel coronavirus infection in patients, medical staff or non-medical staff. ConclusionThe use of evidence-based medicine for emergency recommendation is helpful for the scientific and efficient management of wards, and is also suitable for the management of general intensive care units in emergent public health events.
Surgical innovation is an important part of surgical research and practice. The evaluation of surgical innovation through the stages is similar to those for drug development, but with important differences. The Idea, Development, Exploration, Assessment, and Long-term follow-up (IDEAL) Framework and Recommendations represent a new paradigm for the evaluation of surgical intervention and devices which was developed in 2009. The IDEAL is a five-stage framework involving the nature stages of surgical innovation, together with recommendations for surgical research pathway. The Framework and Recommendations were updated and published in 2019, which added a pre-IDEAL stage if necessary. The updated IDEAL also underlines the purpose, key question and ethical issues for each stage. In the first paper of IDEAL Framework and Recommendations series, we conducted a comprehensive introduction of IDEAL (e.g. the development, updates and application of IDEAL) to promote the dissemination and application of IDEAL in China.
The pre-market approval and clinical application of innovative medical devices should be based on high-quality evidence, proving their reliability, safety and effectiveness. In 2016, the IDEAL (Idea, Development, Exploration, Assessment and Long-term follow-up) collaboration modified the original IDEAL framework and recommendation to the IDEAL-D methodological framework for the entire life cycle evaluation of innovative medical devices. The framework included five stages, namely the preclinical development stage, idea stage, exploration stage, assessment stage and long-term follow-up stage. This paper aims to interpret the study purpose, content and design at each step of the IDEAL-D framework based on IDEAL framework and recommendation (2019) to provide practical methodological guidance for the design and conduct of clinical research on innovative medical devices.
Objective To explore the methodological characteristics of Chinese clinical practice guidelines/expert consensus based on usage of GRADE. MethodsCNKI, PubMed, WanFang Data databases, and Medlive.cn were electronically searched to collect Chinese clinical practice guidelines/expert consensus over the past 11 years from January 1st 2010 to December 31st 2020. Four reviewers independently extracted data according to the content of appraisal of guidelines quality evaluation tool AGREE Ⅱ. The clinical practice guidelines/expert consensus were divided into two groups based on whether GRADE was used or not. The changes and development of methodological quality in the past 11 years were explored between the two groups. ResultsIn recent years, the number of clinical practice guidelines/expert consensus which used the GRADE in China had increased annually. The practice guidelines/expert consensus which did not use GRADE had lower methodology quality (P<0.01). ConclusionsThe use of GRADE in clinical practice guidelines/expert consensus requires improvement, and mastering GRADE methodology can effectively improve the methodological quality of the clinical practice guidelines/expert consensus.
China is facing the serious situation of 2019-novel coronavirus (2019-nCoV) infection. The health care institutions have actively participated in the prevention, diagnosis, and treatment of the disease. Proper regulation of in-hospital policy may help control virus spreading. We developed seven key clinical questions about the prevention and control of 2019-novel coronavirus infection in hospital, and provided recommendations based on the best available evidence and expert experience. We interpreted the recommendations for better feasibility in Chinese hospital. The current recommendations provide evidence and reference for the domestic medical institutions to reasonably adjust the hospital workflow during 2019-nCoV infection period..
Evidence grading and recommendation strength assessment are key steps in the development of evidence-based guidelines, and have made significant progress in recent years. This article systematically reviews the development and evolution of evidence grading and recommendation strength in the past 30 years, and introduces the main representative standards. At the same time, a brief introduction is given to the guidelines and consensus evaluation results published in the field of neurological diseases in China, and future improvements are proposed. This article aims to help readers understand the development patterns of evidence grading and recommendation strength, in order to better understand the guidelines, and to develop more standardized guidelines.
IDEAL framework and recommendations provide a scientific and integrated evaluation pathway for surgical innovations and other complex therapeutic interventions, and underline that the preliminary studies are needed to prepare for a successful randomized controlled trial. IDEAL framework provides a series of recommendations in terms of nature stages of surgical innovation. We have reported the introduction and reporting guidelines of the IDEAL framework and recommendations in our IDEAL series paper. This paper aimed to provide some empirical evidence, focusing specifically on stages 2a and 2b, to help surgeons and researchers to understand how to imply IDEAL framework and recommendations into their clinical practice.
Given the severe situation of coronavirus disease (COVID-19), the elderly, especially elderly patients with chronic diseases are the key populations for prevention and control. We developed recommendations of daily diets for elderly and the elderly patients with chronic diseases during the COVID-19 epidemic, based on the best available evidence and expert experiences. Levels of evidence and recommendations were determined by the method of the Oxford Centre for EBM Levels of Evidence (2001). These urgent recommendations aim to guide staffs in medical institutions to assist the elderly make sensible meal arrangements during this particular period.
Mitral valve replacement is one of the most common heart valve surgeries in China. In recent years, with the increase in degenerative valve diseases, older patients, and the progress of anti-calcification technology of biological valves, the proportion of mitral valve biological valve replacement has been increasing year by year. After the damage of traditional mitral valve biological valves, re-operation of valve replacement with thoracotomy is required. However, the adhesion between the heart and sternum, as well as the damage caused by cardiopulmonary bypass and cardiac arrest, can cause significant trauma to elderly patients and those with multiple organ dysfunction, leading to increased mortality and complication rates. In recent years, interventional valve surgery, especially transcatheter valve-in-valve surgery, has developed rapidly. This procedure can correct the damaged mitral valve function without stopping the heart, but there are still many differences between its technical process and conventional aortic valve replacement surgery. Therefore, organizing and writing multicenter expert recommendations on the technical process of transcatheter valve-in-valve surgery for damaged mitral valve biological valves is of great significance for the training and promotion of this technology.
In order to monitor the emotional state changes of audience on real-time and to adjust the music playlist, we proposed an algorithm framework of an electroencephalogram (EEG) driven personalized affective music recommendation system based on the portable dry electrode shown in this paper. We also further finished a preliminary implementation on the Android platform. We used a two-dimensional emotional model of arousal and valence as the reference, and mapped the EEG data and the corresponding seed songs to the emotional coordinate quadrant in order to establish the matching relationship. Then, Mel frequency cepstrum coefficients were applied to evaluate the similarity between the seed songs and the songs in music library. In the end, during the music playing state, we used the EEG data to identify the audience’s emotional state, and played and adjusted the corresponding song playlist based on the established matching relationship.