Objective:To examine the prevalence of malnutrition and evaluate the impact of nutritional support on clinical outcomes in elderly patients diagnosed with gastric and colorectal cancer.Methods:A retrospective cohort study was conducted, analyzing elderly patients with gastrointestinal tumors who underwent surgical treatment in the general surgery department from January 2019 to June 2020.The Global Leadership Initiative on Malnutrition(GLIM)criteria were utilized to diagnose malnutrition, and the effects of malnutrition and nutritional support on clinical prognosis were investigated.Results:A total of 426 elderly hospitalized patients with gastric and colorectal tumors who underwent surgical treatment were included in this study.This cohort comprised 199 cases of gastric cancer and 227 cases of colorectal cancer, with ages ranging from 65 to 91 years(mean age: 72.05±5.99).According to the GLIM criteria, 43.7%(186/426)of the patients were diagnosed with malnutrition, of which 25.6%(109/426)were moderately malnourished and 18.1%(77/426)were severely malnourished.Among the gastric cancer patients, 73.4%(146/199)were identified as having nutritional risk, with 48.7%(97/199)being malnourished and 22.6%(45/199)experiencing severe malnutrition.In the colorectal cancer group, 63.9%(145/227)were at nutritional risk, 39.2%(89/227)were malnourished, and 14.1%(32/227)had severe malnutrition.Additionally, 60.3%(257/426)of the patients received nutritional support therapy: 25.4%(108/426)received parenteral nutrition(PN), 11.3%(48/426)received enteral nutrition(EN), 23.7%(101/426)received a combination of EN and PN, while 39.7%(169/426)did not receive any nutritional support.Regardless of the presence or degree of malnutrition, patients who received nutritional support had significantly shorter total hospital stays compared to those who did not receive nutritional support, and this difference was statistically significant( t=5.58, 3.69, 2.21, 3.03, all P<0.05). Conclusions:Providing nutritional support to malnourished patients can reduce the length of hospital stay and improve clinical outcomes.

A 20-year old female patient diagnosed with right distal tibial giant cell tumor underwent a surgery of resection of distal tibial giant cell tumor, residual cavity liquid nitrogen and electrocauterization inactivation and local arthroplasty on March 17, 2023. Preoperatively a life-size distal tibia model was 3D printed using polylactic acid (PLA) material based on the CT data of patient's distal tibia. Tumor resection was simulated on the model, preserving the surrounding normal bone and articular cartilage unaffected by the tumor. The residual cavity was filled with bone cement and the distal tibial articular surface was shaped using the talar articular surface as a template. The 3D CT data of bone cement was collected and reconstructed. The irregular bone and cartilage defect data were trimmed to form a regular arc shape, which was used as the data for fabricating local arthroplasty prosthesis. The local arthroplasty prosthesis composed of a titanium base and a VE polyethylene liner was 3D printed. During the operation, the test models of titanium alloy base and VE polyethylene liner were used to test the matching degree with the bone and cartilage defect. Minor adjustments were made by removing a portion of the lateral wall of the residual cavity and modifying the base height to achieve proper alignment of the distal tibial articular surface with the talar surface. After confirming a satisfactory fit, the local arthroplasty prosthesis was implanted. Intraoperative fluoroscopic confirmed accurate placement of the prosthesis, good anatomical match with the defect, and restoration of the joint line. The postoperative follow-up was conducted at 2, 4, 12, 20, 48, 72 and 92 weeks. Wound healing was closely monitored, along with radiologic assessment for prosthesis bone ingrowth and local tumor recurrence. Functional evaluations were performed using the AOFAS and Kofoed scoring systems. Postoperatively, the patient experienced plantar numbness and sensory disturbance, which gradually resolved after three weeks. Assisted ambulation began at two weeks postoperatively, and the patient resumed a normal gait by 12 weeks. The Mayo ankle arthroplasty evaluation criteria at postoperative at 48 weeks were excellent. The AOFAS score and Kofoed score were 97 points and 94 points respectively, indicating excellent functional outcomes. Postoperative X-ray indicated that no bone ingrowth was observed at 2 weeks and 4 weeks after the operation, minor ingrowth at 12 weeks postoperatively, significant bone ingrowth at 20 weeks, and complete osseointegration by 48 to 64 weeks. Postoperative CT imaging at 92 weeks confirmed full prosthesis osseointegration, while MRI at 72 weeks showed no evidence of tumor recurrence.

Objective:To investigate the relationship between dynamic alterations in serum albumin (ALB) concentrations and clinical outcomes in hospitalized surgical patients, thus providing a basis for optimizing clinical management strategies.Methods:This study utilized data from a prospective observational cohort study on nutritional status among 7 122 elderly hospitalized patients across 34 tertiary hospitals in 18 Chinese cities. A total of 1 714 surgical patients hospitalized for 7-30 days with complete data were included. Standardized protocols were used to collect demographic data, clinical outcomes, and a range of laboratory results, including nutritional and hematological parameters. Heterogeneous effects of ALB on clinical outcomes were explored. Receiver operating characteristic (ROC) curves were used to determine cutoff values for infection-related complications. Correlation analyses and multiple linear regression models were used to identify independent predictors of the absolute change in ALB (?ALB).Results:Among the surgical patients, 69.7% (1 195/1 714) experienced a decline in ALB levels during their hospital stay, which was significantly associated with the occurrence of both infection- and non-infection-related complications. Simultaneously, a marked decrease in ALB was also significantly correlated with changes in nutritional and inflammatory status during hospitalization, worsening of gastrointestinal symptoms at discharge, and functional activity abnormalities (all P<0.05). ?ALB exhibited a close association with outcome variables such as infection-related complications. Based on the incidence of infection-related complications, a cutoff value for ALB was calculated, dividing patients into a high-risk group ( n=179) and a low-risk group ( n=1 535), and a statistically significant difference in the incidence of infection-related complications was found between these two groups ( P<0.05). Correlation analysis and multiple linear regression modeling revealed that female gender, a higher baseline ALB level, a poorer baseline inflammatory status, an exacerbation of inflammatory status, larger alterations in platelet-to-lymphocyte ratio, and the presence of infection-related complications were predictive factors for a decline in ALB levels among surgical patients during their hospital stay. Conclusions:?ALB serves as a critical indicator of the inflammatory-nutritional interplay, with its magnitude of decline effectively predicting clinical outcomes and nutritional status changes and guiding multidisciplinary interventions in surgical patients.

Objective:To investigate the relationship between dynamic alterations in serum albumin (ALB) concentrations and clinical outcomes in hospitalized surgical patients, thus providing a basis for optimizing clinical management strategies.Methods:This study utilized data from a prospective observational cohort study on nutritional status among 7 122 elderly hospitalized patients across 34 tertiary hospitals in 18 Chinese cities. A total of 1 714 surgical patients hospitalized for 7-30 days with complete data were included. Standardized protocols were used to collect demographic data, clinical outcomes, and a range of laboratory results, including nutritional and hematological parameters. Heterogeneous effects of ALB on clinical outcomes were explored. Receiver operating characteristic (ROC) curves were used to determine cutoff values for infection-related complications. Correlation analyses and multiple linear regression models were used to identify independent predictors of the absolute change in ALB (?ALB).Results:Among the surgical patients, 69.7% (1 195/1 714) experienced a decline in ALB levels during their hospital stay, which was significantly associated with the occurrence of both infection- and non-infection-related complications. Simultaneously, a marked decrease in ALB was also significantly correlated with changes in nutritional and inflammatory status during hospitalization, worsening of gastrointestinal symptoms at discharge, and functional activity abnormalities (all P<0.05). ?ALB exhibited a close association with outcome variables such as infection-related complications. Based on the incidence of infection-related complications, a cutoff value for ALB was calculated, dividing patients into a high-risk group ( n=179) and a low-risk group ( n=1 535), and a statistically significant difference in the incidence of infection-related complications was found between these two groups ( P<0.05). Correlation analysis and multiple linear regression modeling revealed that female gender, a higher baseline ALB level, a poorer baseline inflammatory status, an exacerbation of inflammatory status, larger alterations in platelet-to-lymphocyte ratio, and the presence of infection-related complications were predictive factors for a decline in ALB levels among surgical patients during their hospital stay. Conclusions:?ALB serves as a critical indicator of the inflammatory-nutritional interplay, with its magnitude of decline effectively predicting clinical outcomes and nutritional status changes and guiding multidisciplinary interventions in surgical patients.

A 20-year old female patient diagnosed with right distal tibial giant cell tumor underwent a surgery of resection of distal tibial giant cell tumor, residual cavity liquid nitrogen and electrocauterization inactivation and local arthroplasty on March 17, 2023. Preoperatively a life-size distal tibia model was 3D printed using polylactic acid (PLA) material based on the CT data of patient's distal tibia. Tumor resection was simulated on the model, preserving the surrounding normal bone and articular cartilage unaffected by the tumor. The residual cavity was filled with bone cement and the distal tibial articular surface was shaped using the talar articular surface as a template. The 3D CT data of bone cement was collected and reconstructed. The irregular bone and cartilage defect data were trimmed to form a regular arc shape, which was used as the data for fabricating local arthroplasty prosthesis. The local arthroplasty prosthesis composed of a titanium base and a VE polyethylene liner was 3D printed. During the operation, the test models of titanium alloy base and VE polyethylene liner were used to test the matching degree with the bone and cartilage defect. Minor adjustments were made by removing a portion of the lateral wall of the residual cavity and modifying the base height to achieve proper alignment of the distal tibial articular surface with the talar surface. After confirming a satisfactory fit, the local arthroplasty prosthesis was implanted. Intraoperative fluoroscopic confirmed accurate placement of the prosthesis, good anatomical match with the defect, and restoration of the joint line. The postoperative follow-up was conducted at 2, 4, 12, 20, 48, 72 and 92 weeks. Wound healing was closely monitored, along with radiologic assessment for prosthesis bone ingrowth and local tumor recurrence. Functional evaluations were performed using the AOFAS and Kofoed scoring systems. Postoperatively, the patient experienced plantar numbness and sensory disturbance, which gradually resolved after three weeks. Assisted ambulation began at two weeks postoperatively, and the patient resumed a normal gait by 12 weeks. The Mayo ankle arthroplasty evaluation criteria at postoperative at 48 weeks were excellent. The AOFAS score and Kofoed score were 97 points and 94 points respectively, indicating excellent functional outcomes. Postoperative X-ray indicated that no bone ingrowth was observed at 2 weeks and 4 weeks after the operation, minor ingrowth at 12 weeks postoperatively, significant bone ingrowth at 20 weeks, and complete osseointegration by 48 to 64 weeks. Postoperative CT imaging at 92 weeks confirmed full prosthesis osseointegration, while MRI at 72 weeks showed no evidence of tumor recurrence.

Objective:To examine the prevalence of malnutrition and evaluate the impact of nutritional support on clinical outcomes in elderly patients diagnosed with gastric and colorectal cancer.Methods:A retrospective cohort study was conducted, analyzing elderly patients with gastrointestinal tumors who underwent surgical treatment in the general surgery department from January 2019 to June 2020.The Global Leadership Initiative on Malnutrition(GLIM)criteria were utilized to diagnose malnutrition, and the effects of malnutrition and nutritional support on clinical prognosis were investigated.Results:A total of 426 elderly hospitalized patients with gastric and colorectal tumors who underwent surgical treatment were included in this study.This cohort comprised 199 cases of gastric cancer and 227 cases of colorectal cancer, with ages ranging from 65 to 91 years(mean age: 72.05±5.99).According to the GLIM criteria, 43.7%(186/426)of the patients were diagnosed with malnutrition, of which 25.6%(109/426)were moderately malnourished and 18.1%(77/426)were severely malnourished.Among the gastric cancer patients, 73.4%(146/199)were identified as having nutritional risk, with 48.7%(97/199)being malnourished and 22.6%(45/199)experiencing severe malnutrition.In the colorectal cancer group, 63.9%(145/227)were at nutritional risk, 39.2%(89/227)were malnourished, and 14.1%(32/227)had severe malnutrition.Additionally, 60.3%(257/426)of the patients received nutritional support therapy: 25.4%(108/426)received parenteral nutrition(PN), 11.3%(48/426)received enteral nutrition(EN), 23.7%(101/426)received a combination of EN and PN, while 39.7%(169/426)did not receive any nutritional support.Regardless of the presence or degree of malnutrition, patients who received nutritional support had significantly shorter total hospital stays compared to those who did not receive nutritional support, and this difference was statistically significant( t=5.58, 3.69, 2.21, 3.03, all P<0.05). Conclusions:Providing nutritional support to malnourished patients can reduce the length of hospital stay and improve clinical outcomes.

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.

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.

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.

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.