OBJECTIVE To investigate the monitoring of tacrolimus blood concentration in patients with nephrotic syndrome （NS），and to establish a prediction model for tacrolimus blood concentration. METHODS Data from 509 concentration monitoring sessions of 166 NS patients using tacrolimus were collected from January 1， 2020 to August 31， 2023 in Zhongshan Hospital Affiliated to Xiamen University. The relationship of efficacy and adverse drug reaction（ADR） with blood concentration was analyzed. A multilayer perceptron （MLP） prediction model was established by using the blood concentration monitoring data of 302 times from 109 NS patients with genetic information， and then verified. RESULTS In terms of efficacy， the median blood concentration of tacrolimus in the non-remission group was 2.20 ng/mL， which was significantly lower than that in the partial remission group （4.00 ng/mL， P＜0.001） and the complete remission group （3.60 ng/mL， P＝0.002）. In terms of ADR， the median blood concentration of tacrolimus in the ADR group was 5.01 ng/mL， which was significantly higher than that in the non-ADR group （3.37 ng/mL） （P＝0.001）. According to the subgroup analysis of the receiver operating characteristic curve， when the blood concentration of tacrolimus was ≥6.65 ng/mL， patients were more likely to develop elevated blood creatinine [area under the curve （AUC） was 0.764， P＜0.001）； when the blood concentration of tacrolimus was ≥6.55 ng/mL， patients were more likely to develop blood glucose （AUC＝0.615， P＝ 0.005）. The established MLP prediction model has a loss function of 0.9， with an average absolute error of 0.279 5 ng/mL between the predicted and measured values. The determination coefficient of the validation scatter plot was 0.984， indicating an excellent predictive performance of the model. CONCLUSION Tacrolimus blood concentration has an impact on both efficacy and ADR in NS patients. The use of the MLP model for predicting blood concentration exhibits high accuracy with minimal error between predicted and measured values. The model can be used as an important tool in clinical individualized medication regimens.

Objective     To evaluate the risk factors for postoperative in-hospital mortality in elderly patients receiving cardiac valvular surgery, and develop a new prediction models using the least absolute shrinkage and selection operator (LASSO)-logistic regression. Methods     The patients≥65 years who underwent cardiac valvular surgery from 2016 to 2018 were collected from the Chinese Cardiac Surgery Registry (CCSR). The patients who received the surgery from January 2016 to June 2018 were allocated to a training set, and the patients who received the surgery from July to December 2018 were allocated to a testing set. The risk factors for postoperative mortality were analyzed and a LASSO-logistic regression prediction model was developed and compared with the EuroSCOREⅡ. Results     A total of 7 163 patients were collected in this study, including 3 939 males and 3 224 females, with a mean age of 69.8±4.5 years. There were 5 774 patients in the training set and 1 389 patients in the testing set. Overall, the in-hospital mortality was 4.0% (290/7 163). The final LASSO-logistic regression model included 7 risk factors: age, preoperative left ventricular ejection fraction, combined coronary artery bypass grafting, creatinine clearance rate, cardiopulmonary bypass time, New York Heart Association cardiac classification. LASSO-logistic regression had a satisfying discrimination and calibration in both training [area under the curve (AUC)=0.785, 0.627] and testing cohorts (AUC=0.739, 0.642), which was superior to EuroSCOREⅡ. Conclusion     The mortality rate for elderly patients undergoing cardiac valvular surgery is relatively high. LASSO-logistic regression model can predict the risk of in-hospital mortality in elderly patients receiving cardiac valvular surgery.

Objectives:To evaluate and predict the risk for in-hospital mortality in elderly patients receiving cardiac valvular surgery preferably,we developed a new prediction model using machine learning. Methods:Clinical data including baseline characteristics,peri-operative data and primary endpoint of 7 163 elderly patients aged 65 years or older undergoing cardiac valvular surgery from January 2016 to December 2018 from 87 hospitals were collected from the Chinese Cardiac Surgery Registry(CCSR).Patients from January 2016 to June 2018 were assigened to the training cohort(n=5 774)and patients from July to December 2018 were assigened to the validation cohort(n=1 389).The primary endpoint was in-hospital mortality.Machine learning algorithms were used to analyze risk factors and develop prediction model. Results:Overall in-hospital mortality was 4.1%.Linear discriminant analysis(LDA),support vector classification(SVC)and logistic regression(LR)models in the training cohort all have high AUCs and low Brier scores,with good discrimination and calibration.In validation cohort,the AUC of LDA,SVC and LR were 0.744,0.744 and 0.746 respectively,which were significantly better than that of 0.642 using the European System for Cardiac Operative Risk Evaluation II(EuroSCORE II)model(P<0.05). Conclusions:The mortality rate for elderly patients undergoing cardiac valvular surgery is relatively high.LDA,SVC and LR can predict the risk for in-hospital mortality in elderly patients receiving cardiac valvular surgery with high accuracy.

Research in cellular mechanics has rapidly advanced in recent years,uncovering how cells regulate their functions and behaviors by sensing and responding to mechanical cues from their environment.In 2023,significant breakthroughs were made in understanding the mechanical properties of cells,their mechanosensing of solid and fluid environments,and their adaptability under dynamic mechanical conditions.Meanwhile,advanced measurement techniques and mechanical models have provided new tools for investigation.These achievements have deepened the understanding of physiological and pathological processes,offering new approaches for disease diagnosis,prevention,and intervention.This review summarizes the research progress by Chinese scholars in cellular mechanics and explores the mechanical mechanisms exhibited in various biological processes in the year 2023.

Most hospitalized patients infected with coronavirus disease 2019 (COVID-19) are in severe or critical condition, and malnutrition is a key factor contributing to adverse outcomes. The basic principles of medical nutrition therapy have been determined in the recently released tenth edition of the National Diagnosis and Treatment Protocol. The principles have promoted nutritional risk assessment, emphasized the preferred method of enteral nutrition, and recommended the daily intake of calories at 25 to 30 kcal/kg and protein at > 1.2g/kg. Parenteral nutrition should be also added when necessary. Based on the above principles, Beijing Hospital has refined the medical nutrition therapy measures to facilitate the implementation in clinical practice, in order to improve healthcare quality and decrease the mortality in COVID-19 patients.

Sarcopenia is an age-related syndrome with progressive, generalized loss of muscle mass, strength, and physiological function. Low muscle mass is an important diagnostic criterion for sarcopenia. Ultrasound is safe, convenient and cost-effective, with extensive availability. It's a promising diagnostic tool for muscle mass assessment and sarcopenia screening in the elderly population. This review focuses on the specific methods and latest research progress on ultrasound assessment of sarcopenia.

Objective:To reconstruct the dose of nasopharyngeal carcinoma and verify the results of the whole-process radiotherapy plan based on log files and cone beam CT (CBCT).Methods:A total of 15 patients with nasopharyngeal carcinoma who received volumetric modulated arc therapy (VMAT) with Halcyon accelerator in the Cancer Center of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from February to September 2022 were retrospectively selected. Log files and CBCT for all fractionated radiotherapy were recorded. The errors of monitor unit (MU), gantry angle, and multi-leaf collimator (MLC) leaf position per control point were analyzed. The adaptive CT (aCT) were generated according to CBCT and planned CT (pCT) using a commercial software Velocity TM, and the similarities among aCT, pCT and CBCT were analyzed. The original plan was modified from the log files and imported into the treatment planning system to calculate the delivered dose on the corresponding fractionated aCT to reconstruct the fractionated dose. And all the reconstructed doses were mapped back to pCT to obtain the cumulative dose. Theγpass ratios with criteria of 2 mm/2% and 2 mm/3% and the dose differences between the planned dose and the cumulative dose in the planning target volume (PTV) and organs at risk (OAR) were compared. Results:The root mean square (RMS) and the 95th percentile of the errors of MU, gantry angle and MLC leaf position errors were within an acceptable range. The aCT generated by Velocity TM had the anatomical structure of CBCT and the resolution, contrast, noise characteristics of pCT, which could be directly used for dose calculation. Compared with the planned dose, the changes of V 70 Gy of nasopharyngeal primary tumor (PTV nx), V 68 Gy of cervical glands (PTV nd) and V 60 Gy of planning target volume (PTV1) were -0.88%±1.91%, -2.99%±2.99% and -0.63%±0.93%, respectively, and V 40 Gy of parotid gland was increased to 2.65%±2.63%. Cumulative dose showed different degrees of PTV dose decrease ( P<0.05) and parotid dose was increased ( P<0.05). The γ pass ratio (2 mm/3%) between the cumulative dose and planned dose was 97.3%±2.7% and >95.0% in 86.7% of patients. Conclusions:Based on the log files and CBCT, the whole-process dose reconstruction of nasopharyngeal carcinoma patients can be carried out. According to the results of dose reconstruction, the radiotherapy effect of the target area and OAR can be quantitatively evaluated. In the case of high dose coverage and conformity of the original plan, the reconstruction results show that the cumulative dose coverage of the target area is decreased, whereas that of the parotid gland is increased.

Objective:To evaluate the clinical effectiveness of the standardized peripherally inserted central catheter (PICC) implantation procedure in the management of parenteral nutrition infusion routes.Methods:Patients were enrolled from January 2018 to January 2020 and were divided into the study and control groups, receiving standard operating procedures of PICC or insertion through below elbow with or without ultrasonic guidance. The differences in the success rate of PICC insertion, catheter indwelling time, incidence rate of complications, and patient satisfaction were compared.Results:A total of 943 subjects were included. The study group and the control group were comparable in terms of baseline characteristics such as disease type, body mass index and prevalence of nutritional risk. The overall success rate was 100% in both groups. The first-attempt success rate in the study group was higher compared with the control group (92.6% vs 72.2%, χ 2 = 66.229, P < 0.001), and the catheter indwelling time was longer ([25.4 ± 2.3] d vs [21.6 ± 3.1] d, t = 21.271, P < 0.001). The incidence rate of short-term complications in the study group was significantly lower than that in the control group (3.50% vs 11.52%, χ 2 = 21.490, P <0.001), while there was no significant difference in the incidence rate of long-term complications between the two groups (6.78% vs 8.85%, χ 2 = 1.388, P = 0.239). Conclusion:Establishing and implementing the standardized operating procedure of PICC is an effective method to improve the management of parenteral nutrition infusion routes.

Objective:To investigate the prevalence of malnutrition in hospitalized patients with lung cancer in China using the global leadership initiative on malnutrition (GLIM) criteria.Methods:A retrospective analysis was performed with 623 lung cancer patients selected from the national multi-center prospective investigation database in 2014. The diagnosis of malnutrition was according to GLIM criteria with muscle mass reduction not included. The prevalence of malnutrition in patients with lung cancer was investigated and the correlation between malnutrition diagnosis per GLIM criteria and anthropometry as well as laboratory indexes was explored.Results:Among the 623 lung cancer patients, 33.5% (209) were at nutritional risk as per Nutritional Risk Screening 2002, 17.8% (111) were malnourished as per GLIM criteria. There were significant differences in age, body weight, body mass index, arm circumference, leg circumference, grip strength, hemoglobin, albumin, total protein and prealbumin between malnutrition and non-malnutrition groups as diagnosed with GLIM criteria ( P<0.05). Conclusions:The nutritional risk and malnutrition prevalence in lung cancer patients are relatively high. The nutritional risk screening of lung cancer patients should be standardized and the GLIM criteria can be used for the diagnosis of malnutrition.

ObjectiveTo analyze the epidemic characteristics of foodborne disease outbreaks in Mengla County， Yunnan Province， so as to provide basis for formulating corresponding prevention and control measures. MethodsThe data of foodborne disease outbreaks in Mengla County， Yunnan Province from 2017 to 2021 in the national "foodborne disease outbreak monitoring system" were collected. The time， population， region， place， pathogenic factors and inducing links of the events were statistically analyzed. ResultsFrom 2017 to 2021， a total of 68 incidents were reported， including 526 cases and 5 deaths. The total incidence rate was 23.40% and the case fatality rate was 0.95%. The peak period was from May to July， with the largest number of reported events in July. The reporting areas were mainly Mengla Town （35.29%）， Guanlei Town （11.76%） and Mengpeng Town （10.29%）. The main place of the incident was family （76.47%）. The main pathogenic factors were plant toxins （79.41%）， mainly through the ingestion of wild mushrooms （68.52%）， improper processing of green beans （12.96%） and aconitum （9.26%）. ConclusionAccording to the epidemiological characteristics of Mengla County， we should focus on the public education of health knowledge in key areas and places， especially on the identification of wild mushrooms， to prevent accidental eating. At the same time， we should strengthen the monitoring and risk assessment of foodborne diseases， find potential risks as soon as possible， issue early warning and forecast in time， and constantly improve the clinical treatment ability of poisoned patients.