Objective To explore the dietary nutrition status and nutritional intervention strategy of patients with Alzheimer’s disease (AD). Methods Among the 1 332 patients with AD diagnosed at Xijing Hospital from January 2021 to December 2023 were enrolled as the study subjects. The dietary intake data of patients were collected through questionnaire surveys and dietary reviews. During the study period, 30 patients did not complete the intervention due to withdrawal or loss of follow-up. Based on the actual number of people who completed the intervention, AD patients were randomly divided into intervention group (n=651, individualized nutritional intervention strategy) and control group (n=651, routine nutritional intervention), and both groups were intervened for 3 months. The cognitive function (MMSE score and MoCA score), nutritional status (MNA scale, NRS-2002 scale), and quality of life (GQOL-74) of the two groups of AD patients were compared to evaluate the effectiveness of the intervention strategies. Results A total of 1 332 questionnaires were distributed, and 1 302 valid questionnaires were finally recovered, with an effective recovery rate of 97.75% (1 302/1 332). The survey results showed that there were no statistical differences in baseline characteristics and dietary nutrition status between the two groups of AD patients before intervention (P>0.05). After nutritional intervention, the cognitive function, quality of life, and nutritional status of patients in the intervention group were significantly improved. The MMSE score, MoCA score, MNA score, and GQOL-74 score of the intervention group were significantly higher than those of the control group, while the NRS-2002 score was lower than that of the control group (P<0.05). Conclusion Nutritional intervention strategy has a significant effect on improving nutritional status, cognitive function, and quality of life of AD patients.

Standardized reporting is a crucial factor affecting the use of patient guidelines （PGs）， particularly in the reporting and presentation of recommendations. This paper introduced the current status of PG reporting， including the research on PG content and presentation formats， and provided comprehensive recommendations for PG reporting from aspects such as overall framework， recommendations， presentation format， and readability. First， the presentation of PG recommendations should include clearly defined clinical questions， recommendations and their rationale， and guidance on how patients should implement the interventions； for specific content in the PG， such as level of evidence， level of recommendation， it is recommended to explain in text the reasons for giving different levels of recommendation， i.e.， to present the logic behind giving the level of recommendation to the patient； additional information needed in the recommendation framework should be supplemented by tracing references or authoritative textbooks and literature that support the recommendations. Subsequently， the PG text should be written based on the Reporting Checklist for Public Versions of Guidelines （RIGHT-PVG） reporting framework. Finally， to enhance readability and comprehension， it is recommended to refer to the Patient Education Materials Assessment Tool （PEMAT） for translating PG content. To enhance the readability of PGs， it is suggested to present the PG content in a persona-lized and layered manner.

Since the concept of patient versions of guidelines （PVGs） was introduced into China， several PVGs have been published in China， but we found that there is a big difference between the concept of PVG at home and abroad， and the reason for this difference has not been reasonably explained， which has led to ambiguity and even misapplication of the PVG concept by guideline developers. By analyzing the background and purpose of PVGs， and the understanding of the PVG concept by domestic scholars， we proposed the term patient guidelines （PGs）. This refers to guidelines developed under the principles of evidence-based medicine， centered on health issues that concern patients， and based on the best available evidence， intended for patient use. Except for the general attribute of providing information or education， which is typical of common health education materials， PGs also provide recommendations and assist in decision-making， so PGs include both the patient versions of guidelines （PVG） as defined by the Guidelines International Network （GIN） and "patient-directed guidelines"， i.e. clinical practice guidelines resulting from the adaptation or reformulation of recommendations through clinical practice guidelines.

At present， the process and methodology of patient guidelines （PGs） development varies greatly and lacks systematic and standardised guidance. In addition to the interviews with PG developers， we have sorted out the relevant methodology for the adaptation and development of existing clinical practice guideline recommendations and facilitated expert deliberations to achieve a consensus， so as to finally put forward a proposal for guidance on the process and methodology for the development of PGs. The development of PGs can be divided into the preparation stage， the construction stage， and the completion stage in general， but the specific steps vary according to the different modes of development of PGs. The development process of Model 1 is basically the same as the patient version of the guideline development process provided by the International Guidelines Network， i.e.， team formation， screening of recommendations， guideline drafing， user testing and feedback， approval and dissemination. The developer should also first determine the need for and scope of translating the clinical practice guideline into a patient version during the preparation phase. Model 2 adds user experience and feedback to the conventional clinical practice guideline development process （forming a team， determining the scope of the PG， searching， evaluating and integrating evidence， forming recommendations， writing the guideline， and expert review）. Based on the different models， we sort out the process and methods of PG development and introduce the specific methods of PG development， including how to identify the clinical problem and how to form recommendations based on the existing clinical practice guidelines， with a view to providing reference for guideline developers and related researchers.

Objective:To investigate the effect of dexmedetomidine(DEX)on the polarization of alveolar macrophages in-duced by lipopolysaccharide(LPS)and to explore the related mechanisms.Methods:Rat alveolar macrophages NR8383 were cul-tured in vitro.Experiment one was divided into control group,model group(1 μg/ml LPS),DEX low,medium and high dose groups(1,5,10 mg/kg DEX+10 mg/kg LPS).Experiment two was divided into DEX high dose group(10 mg/kg)and DEX high dose+Colive-lin(JAK2/STAT3 signaling pathway activator)group(10 mg/kg DEX+0.5 μmol/L Colivelin).The morphological changes of rat alveo-lar macrophages NR8383 were observed by inverted microscope;RT-PCR method was used to detect the expression levels of iNOS and Arg1 mRNA in NR8383 cells,and flow cytometry was used to detect the expression levels of CD86 and CD163 proteins in NR8383 cells;Western blot was used to detect the expression levels of surface marker proteins TNF-α,iNOS,SOCS,Arg1,TGF-β and JAK2/STAT3 signaling pathway related proteins in NR8383 cells.Results:Compared with control group,there were a lot of cell debris in the intercellular space of NR8383 in the model group,the proportions of iNOS mRNA,CD86 positive cells,and the expression levels of TNF-α,p-JAK2/JAK2,p-STAT3/STAT3 were significantly increased,the proportions of Arg1 mRNA,CD163 positive cells,and the expression levels of SOCS and TGF-β were significantly reduced(P<0.05);compared with the model group,the NR8383 intercellular cell debris in the DEX low,medium,and high dose groups were decreased,the proportions of iNOS mRNA,CD86 positive cells,and the expression levels of TNF-α,p-JAK2/JAK2,p-STAT3/STAT3 were significantly reduced,the proportions of Arg1 mRNA,CD163 positive cells,and the expression levels of SOCS and TGF-β were significantly increased(P<0.05).The reactivation of the JAK2/STAT3 signal pathway by Colivelin could weaken the role of DEX in LPS induced NR8383 cell polarization.Conclusion:DEX can inhibit the M1 polarization of NR8383 cells induced by LPS,which may be achieved by inhibiting the JAK2/STAT3 signaling pathway.

Behçet’s syndrome is a kind of chronic systemic vasculitis with involvement of multiple organs. Intestinal involvement of Behçet’s syndrome is presently named as intestinal Behçet’s syndrome (disease). Recently, there is considering another kind of disease type with only typical intestinal ulcers. Since it is difficult to differentiate intestinal Behçet’s syndrome from Crohn’s disease, intestinal tuberculosis, intestinal lymphoma, as well as intestinal manifestations of many other autoimmune diseases, and there is limited evidence for the therapy of intestinal Behçet’s syndrome, proposing diagnosis and treatment recommendations for intestinal Behçet’s syndrome through evidence-based judgment will be of great significance for clinical practice.

Beh?et′s syndrome is a kind of chronic systemic vasculitis with involvement of multiple organs. Intestinal involvement of Beh?et′s syndrome is presently named as intestinal Beh?et′s syndrome. Recently, there is considering another kind of disease type with only typical intestinal ulcers. Since it is difficult to differentiate intestinal Beh?et′s syndrome from Crohn′s disease, intestinal tuberculosis, intestinal lymphoma, and intestinal manifestations of many other autoimmune diseases, and there is limited evidence for the therapy of intestinal Beh?et′s syndrome, proposing diagnosis and treatment recommendations for intestinal Beh?et′s syndrome through evidence-based judgment will be of great significance for clinical practice.

Objective:To investigate the application value of establishing the differential diagnosis model of pulmonary tuberculosis using routine laboratory data.Methods:The retrospective study was conducted. The routine laboratory data of newly diagnosed patients with pulmonary tuberculosis and other pulmonary diseases in Beijng Jishuitan Hospital and Beijing Hepingli Hospital from May 2015 to November 2021were collected. According to the random numbers showed in the computer, all the 11516 patients were divided into training dataset and test dataset with a ratio of 9∶1. Four machine learning algorithms, Support Vector Machine, Random Forest, K-Nearest Neighbor and Logistic Regression, were used to build models and select features. The diagnostic accuracy of each model was verified by using the 10-fold cross-validation method and the performance of each model was evaluated by using the receptor operator of characteristic (ROC) curve.Results:Random Forest was selected as the optimal machine learning algorithm to build the best feature model in the study. According to importance scale of factors, the differential diagnosis model of pulmonary tuberculosis consisting of 37 non-specific test indexes. In the validation set and test set the accuracy and area under curve (AUC) of the models were 0.747 and 0.736, the sensitivity, specificity and accuracy were 68.03% and 68.75%, 70.91% and 67.90%, 70.30% and 68.12%, respectively.Conclusion:A key tool in the differential diagnosis model of pulmonary tuberculosis was established by routine laboratory data in combination with machine learning. The results of this study need to be further verified by more data from medical institutions.

Objective:To establish and evaluate a new real-time quality control method that can identify the random errors by using the backpropagation neural network (BPNN) algorithm and taking blood glucose test as an example.Methods:A total of 219 000 blood glucose results measured by Siemens advia 2 400 analytical system from January 2019 to July 2020 and derived from Laboratory Information System of Beijing Chaoyang Hospital Laboratory Department was regarded as the unbiased data of our study. Six deviations with different sizes were introduced to generate the corresponding biased data. With each biased data, BPNN and MovSD algorithms were used and tested, and then evaluated by traceability method and clinical method.Results:For BPNN algorithm, the block size was pre-set to 10 and the false-positive rate in all biases was within 0.1%. For MovSD, however, the optimal block size and exclusive limit were 150 and 10% separately and its false-positive rate in all biases was 0.38%, which was 0.28% higher than BPNN. Especially, for the least two error factors of 0.5 and 1, all the random errors were not detected by MovSD; for the error factor larger than 1, random errors could be detected by MovSD but the MNPed was higher than that of BPNN under all deviations. The difference was up to 91.67 times. 460 000 reference data were produced by traceability procedure. The uncertainty of BPNN algorithm evaluated by these reference data was only 0.078%.Conclusion:A real-time quality control method based on BPNN algorithm was successfully established to identify random errors in analytical phase, which was more efficient than MovSD method and provided a new idea and method for the identification of random errors in clinical practice.

Background: Cardiopulmonary resuscitation (CPR) strategies in COVID-19 patients differ from those in patients suffering from cardiogenic cardiac arrest. During CPR, both healthcare and non-healthcare workers who provide resuscitation are at risk of infection. The Working Group for Expert Consensus on Prevention and Cardiopulmonary Resuscitation for Cardiac Arrest in COVID-19 has developed this Chinese Expert Consensus to guide clinical practice of CPR in COVID-19 patients. Main recommendations: 1) A medical team should be assigned to evaluate severe and critical COVID-19 for early monitoring of cardiac-arrest warning signs. 2) Psychological counseling and treatment are highly recommended, since sympathetic and vagal abnormalities induced by psychological stress from the COVID-19 pandemic can induce cardiac arrest. 3) Healthcare workers should wear personal protective equipment (PPE). 4) Mouth-to-mouth ventilation should be avoided on patients suspected of having or diagnosed with COVID-19. 5) Hands-only chest compression and mechanical chest compression are recommended. 6) Tracheal-intubation procedures should be optimized and tracheal-intubation strategies should be implemented early. 7) CPR should be provided for 20-30 min. 8) Various factors should be taken into consideration such as the interests of patients and family members, ethics, transmission risks, and laws and regulations governing infectious disease control. Changes in management: The following changes or modifications to CPR strategy in COVID-19 patients are proposed: 1) Healthcare workers should wear PPE. 2) Hands-only chest compression and mechanical chest compression can be implemented to reduce or avoid the spread of viruses by aerosols. 3) Both the benefits to patients and the risk of infection should be considered. 4) Hhealthcare workers should be fully aware of and trained in CPR strategies and procedures specifically for patients with COVID-19.