Objective: To explore the influencing factors of recurrence in postoperative patients with renal cell carcinoma，construct machine learning prediction models and evaluate their performance. Methods: Clinical data of 915 patients with renal cell carcinoma treated in our hospital during 2013 and 2021 were retrospectively collected.The data were randomly divided into a training set (n=510) and a validation set (n=218) in a 7∶3 ratio.In the training set，LASSO regression algorithm was used to screen important variables，and machine learning prediction models were constructed to predict the recurrence risk.In the validation set，the effectiveness of the models was compared combined with the area under receiver operating characteristic curve (AUC)，accuracy rate，F1 value and other indicators. Results: LASSO regression screened out the risk factors，including smoking history，tumor size，N stage，Fuhrman grade，thrombin time and fibrinogen，based on which，the logistic model，decision tree model，random forest model，and Bayes model were constructed.In the validation set，the AUC of the above 4 models was 0.862，0.792，0.843 and 0.861，respectively; the accuracy was 0.917，0.908，0.904 and 0.927，respectively; F1 value was 0.357，0.286，0.323 and 0.600，respectively.The Bayes model had the most stable performance and best differentiation. Conclusion: In this data set，the prediction model based on Bayes algorithm has a good performance and can provide reference for clinical decision making.

OBJECTIVE: This study aimed to evaluate the relationships of white blood cell (WBC) count, platelet (PLT) count, and PLT-to-WBC ratio (PWR) with muscle mass in Chinese older adults. METHODS: This cross-sectional analysis involved 4,033 Chinese older adults aged ≥ 65 years from the Healthy Ageing and Biomarkers Cohort Study. Muscle mass and total skeletal muscle mass index (TSMI) were measured by bioelectric impedance analysis. WBC, PLT, and PWR were measured using standard methods. Multivariate linear regression was used to examine the associations of WBC count, PLT count, and PWR with TSMI. RESULTS: High WBC count, PLT count, and PWR were associated with low TSMI, with coefficients of -0.0091 (95% confidence interval [ CI]: -0.0142 to -0.0041), -0.0119 (95% CI: -0.0170 to -0.0068), and -0.0051 (95% CI: -0.0102 to -0.0001). The associations between the three inflammatory indices and TSMI were linear. Stratified analyses indicated that the relationship between inflammatory markers and TSMI was more evident in male participants and in individuals aged < 80 years than in their counterparts. CONCLUSION Elevated WBC count, PLT count, and PWR correlated with muscle mass loss. This study highlights the importance of regular monitoring of inflammatory markers as a potential strategy for the screening and management of sarcopenia in older adults.
Humans ; Aged ; Male ; Female ; China ; Leukocyte Count ; Cross-Sectional Studies ; Platelet Count ; Aged, 80 and over ; Muscle, Skeletal/anatomy & histology* ; Independent Living ; Blood Platelets ; Leukocytes ; Sarcopenia

Cushing's disease is a severe endocrine disorder caused by excess secretion of adrenocorticotropic hormone from pituitary.Due to its subtle early clinical manifestations,the diagnosis of Cushing's disease is often delayed,and differentiating it from ectopic adrenocorticotropic hormone syndrome is a challenge.Combined functional tests can improve the diagnostic accuracy of Cushing's disease.The primary treatment for Cushing's disease is surgical removal of pituitary adenoma.However,about 1/3 of patients do not respond or experience recurrence after surgery,necessitating second-line treatments including medication.The development of novel drugs has enhanced the role of pharmacotherapy in the management of Cushing's disease.The review discusses the classic and emerging diagnostic methods and treatment strategies of Cushing's disease to deepen clinicians'understanding of its current treatment status and prospects.

Purpose/Significance Based on the real data of the pediatric prescription circulation platform,a comparative study on us-er characteristics is carried out in order to improve the pediatric prescription circulation service and related platform construction in Chi-na,and to provide references for improving the service capability of the prescription circulation platform.Method/Process Information of children who purchase drugs through the prescription circulation platform of Beijing Children's Hospital from September 10,2019 to July 31,2023 is collected and divided into online drug purchasing group and offline drug purchasing group according to drug access.JMP 17.0(SAS)statistical analysis is used,and Pearson x2 test is used for comparison between groups.Result/Conclusion There are statis-tically significant differences in social demographic characteristics,medical behavior characteristics and single prescription characteristics between the two groups.The pediatric prescription circulation platform has great potential in medical alliance,and online mode is a good application scenario to realize cross-hospital drug circulation.Measures such as building multi-center online drug logistics centers and offline pharmacies according to different user groups can effectively improve the service capability of the platform.

Objective:To investigate the current situation of the use of transjugular intrahepatic portosystemic shunt (TIPS) for portal hypertension, which should aid the development of TIPS in China.Methods:The China Portal Hypertension Alliance (CHESS) initiated this study that comprehensively investigated the basic situation of TIPS for portal hypertension in China through network research. The survey included the following: the number of surgical cases, main indications, the development of Early-TIPS, TIPS for portal vein cavernous transformation, collateral circulation embolization, intraoperative portal pressure gradient measurement, commonly used stent types, conventional anticoagulation and time, postoperative follow-up, obstacles, and the application of domestic instruments.Results:According to the survey, a total of 13 527 TIPS operations were carried out in 545 hospitals participating in the survey in 2021, and 94.1% of the hospital had the habit of routine follow-up after TIPS. Most hospitals believed that the main indications of TIPS were the control of acute bleeding (42.6%) and the prevention of rebleeding (40.7%). 48.1% of the teams carried out early or priority TIPS, 53.0% of the teams carried out TIPS for the cavernous transformation of the portal vein, and 81.0% chose routine embolization of collateral circulation during operation. Most of them used coils and biological glue as embolic materials, and 78.5% of the team routinely performed intraoperative portal pressure gradient measurements. In selecting TIPS stents, 57.1% of the hospitals woulel choose Viator-specific stents, 57.2% woulel choose conventional anticoagulation after TIPS, and the duration of anticoagulation was between 3-6 months (55.4%). The limitation of TIPS surgery was mainly due to cost (72.3%) and insufficient understanding of doctors in related departments (77.4%). Most teams accepted the domestic instruments used in TIPS (92.7%).Conclusions:This survey shows that TIPS treatment is an essential part of treating portal hypertension in China. The total number of TIPS cases is far from that of patients with portal hypertension. In the future, it is still necessary to popularize TIPS technology and further standardize surgical indications, routine operations, and instrument application.

Cerebrospinal fluid morphology examination is an important method of diagnosing central nervous system diseases, but manual microscopy has shortcomings such as low efficiency, long staff training period, and poor homogeneity of test results. In recent years, the application of artificial intelligence in the medical field has developed rapidly, providing new technical means for cerebrospinal fluid morphology examination. In the future, AI-assisted morphological examination of cerebrospinal fluid will not only realize digitalization and networking, but also improve the level and efficiency of intelligent diagnosis of cerebrospinal fluid morphology, which has a broad application prospect in the intelligent assisted diagnosis of cerebrospinal fluid.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

A middle-aged man was presented with poor appetite, polyuria, polydrpsia, and headache. A sellar mass was found, along with total pituitary hypofunction and visual field defect. A biopsy of the lesion via the trans-sphenoidal approach showed inflammatory changes and granuloma formation. However, repeated cerebrospinal fluid and pathogenic examination of the pathological tissue showed no positive indications. The initial diagnosis considered autoimmune hypophysitis, and treatment of glucocorticoids combined with immunosuppressants was administered, which led to a temporary shrinkage of the lesion, but it gradually enlarged subsequently. After multidisciplinary discussion, a high possibility of pituitary tuberculosis infection was decided upon. After standardized anti-tuberculosis treatment was initiated, the lesion reduced noticeably and the patient′s condition improved. Pituitary tuberculosis infection is incredibly rare and extremely easy to misdiagnose. This case was diagnosed and treated in a timely and effective manner through a multidisciplinary approach, highlighting the importance of such an approach in dealing with rare diseases.