Objective:To investigate the predictive value of serum cholinesterase(CHE)and soluble growth stimula-tion gene 2 protein(sST2)for short-term death in patients with myocardial infarction and heart failure.Methods:A total of 100 patients with myocardial infarction and heart failure admitted in Nanjing Benq Hospital between March 2021 and March 2023 were screened.After 6-month follow-up,patients were grouped according to pres-ence of death.Multivariate Cox regression was used to analyze the factors associated with death during 6-month follow-up in patients with myocardial infarction and heart failure.The predictive value of CHE,sST2 and their combined detection for short-term death in patients with myocardial infarction and heart failure was analyzed by receiver operating characteristic(ROC)curve.Kaplan-Meier survival curve was used to compare short-term sur-vival rate between myocardial infarction and heart failure patients with different CHE and sST2 levels.Results:During 6-month follow-up,46 cases died.Compared to those in survival group,patients in death group had sig-nificant higher heart rate(HR)[(82.20±8.09)beats/min vs.(71.54±6.97)beats/min],mean arterial pressure(MAP)[(126.58±5.38)mmHg vs.(104.79±4.94)mmHg]and sST2[(76.48±4.82)ng/ml vs.(40.62±4.96)ng/ml],and significant lower CHE[(3.47±0.26)IU/L vs.(5.07±0.80)IU/L](P＜0.001 all).Multivariate Cox regression showed that HR(HR 1.046,95％CI 1.002～1.092,P=0.040),MAP(HR 1.988,95％CI 1.298～2.455,P＜0.001),and sST2(HR 1.068,95％CI 1.014～1.125,P=0.013)were independent risk factors for short-term death in patients with myocardial infarction and heart failure,while CHE was its independent protec-tive factor(HR=0.252,95％CI 0.145～0.561,P=0.023).ROC curve analysis indicated that the area under the curve(AUC)of CHE,sST2 and their combination for diagnosing short-term death in patients with myocardial in-farction and heart failure was 0.609(95％0.504～0.707),0.630(95％0.525～0.726)and 0.939(95％0.871～0.977)respectively,and the diagnostic efficacy of combined detection was significantly higher than CHE and sST2 alone(Z=5.814,5.524,P＜0.001 all).Kaplan-Meier survival curve showed that the survival rate of patients with low CHE level was significantly lower than that of patients with high CHE level,and the survival rate of pa-tients with high sST2 level was significantly lower than that of patients with low sST2 level(Log-rank x2=2.415,2.354,P＜0.001 all).Conclusion:CHE and sST2 were independent influencing factors for death during 6-month follow-up in patients with myocardial infarction and heart failure;their combined detection had good predictive value for short-term death in these patients.

Objective:Near-infrared(NIR)spectroscopy technology faces the problem of insufficient model generalization due to individual differences in non-invasive blood glucose testing,in order to solve this problem,to improve data utilization,and to build predictive models with stronger generalization ability,this study introduces a transfer learning method to study the NIR spectroscopy non-invasive glucose testing.Methods:Migration learning is a machine learning technique that aims to improve task performance in the target domain by transferring knowledge from the source domain to the target domain.In this study,we used community population data as the source domain and student population data as the target domain to improve the performance of the noninvasive glucose detection model on the target domain.In order to verify the effectiveness of migration learning,this study compares the performance of the model before and after migration learning.Results:the model's performance on the noninvasive glucose detection task is significantly improved by the migration learning strategy,and the MAPE and MAE of the migrated model decreases by 52.5460％and 6.0805％,respectively,and the RMSE and MSE decreases by 10.7215％and 12.1135％.Conclusions:This study demonstrates the promising application of transfer learning in the field of non-invasive blood glucose detection,which is expected to realize portable and continuous blood glucose monitoring in the future by migrating the features that are difficult to access in the source domain but are related to blood glucose values to the target domain,which will greatly improve the quality of life of diabetic patients.Advances in noninvasive glucose testing technology will not only reduce patients' pain,but also provide a more convenient means of glucose monitoring,which will provide strong support for diabetes management.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Background: s/Aims: Sarcomatoid hepatocellular carcinoma (HCC) is a rare histological subtype of HCC characterized by extremely poor prognosis; however, its molecular characterization has not been elucidated. Methods: In this study, we conducted an integrated multiomics study of whole-exome sequencing, RNA-seq, spatial transcriptome, and immunohistochemical analyses of 28 paired sarcomatoid tumor components and conventional HCC components from 10 patients with sarcomatoid HCC, in order to identify frequently altered genes, infer the tumor subclonal architectures, track the genomic evolution, and delineate the transcriptional characteristics of sarcomatoid HCCs. Results: Our results showed that the sarcomatoid HCCs had poor prognosis. The sarcomatoid tumor components and the conventional HCC components were derived from common ancestors, mostly accessing similar mutational processes. Clonal phylogenies demonstrated branched tumor evolution during sarcomatoid HCC development and progression. TP53 mutation commonly occurred at tumor initiation, whereas ARID2 mutation often occurred later. Transcriptome analyses revealed the epithelial–mesenchymal transition (EMT) and hypoxic phenotype in sarcomatoid tumor components, which were confirmed by immunohistochemical staining. Moreover, we identified ARID2 mutations in 70% (7/10) of patients with sarcomatoid HCC but only 1–5% of patients with non-sarcomatoid HCC. Biofunctional investigations revealed that inactivating mutation of ARID2 contributes to HCC growth and metastasis and induces EMT in a hypoxic microenvironment. Conclusions We offer a comprehensive description of the molecular basis for sarcomatoid HCC, and identify genomic alteration (ARID2 mutation) together with the tumor microenvironment (hypoxic microenvironment), that may contribute to the formation of the sarcomatoid tumor component through EMT, leading to sarcomatoid HCC development and progression.

Tibial plateau fracture is a fracture involving the proximal articular surface of the tibia, and its injury mechanism is complex, the fracture morphology is different, and it is often accompanied by different degrees of soft tissue injury, which is difficult to diagnose and treat. In recent years, the research hotspot has focused on solving the reduction and fixation of the posterior lateral column of the tibial plateau, because it has been clinically found that the residual sagittal plane after tibial plateau fracture is insufficient reduction or loss of reduction leads to knee joint dysfunction. The posterior inclination angle of the tibial plateau is an important parameter to describe the sagittal alignment of the tibia. In the natural state, the posterior tibial slope(PTS) is altered to involve the soft tissues around the knee joint such as anterior cruciate ligament(ACL) and posterior cruciate ligament(PCL), which affects the stability of the knee joint. In total knee arthroplasty(TKA), choosing the appropriate PTS can effectively increase the prosthesis survival rate, improve the flexion and extension knee efficacy, which is beneficial to knee joint stability. In the field of orthopedic trauma, correction of sagittal deformity is equally important, following the principle of "reverse mechanism of injury". Quantitative evaluation of postoperative sagittal realignment of tibial plateau fractures and investigation of the effect of sagittal realignment on long-term outcomes and complications are still poorly understood and require further clinical and biomechanical studies.
Humans ; Tibial Fractures/physiopathology* ; Fracture Fixation, Internal/methods* ; Tibial Plateau Fractures

Objective To analyze the effect of graded exercise rehabilitation in patients with acute exacerbation of chronic obstructive pulmonary disease,and to provide references for clinical nursing practice.Methods A total of 70 patients with acute exacerbation of chronic obstructive pulmonary disease who met the criteria in the Department of Respiratory Medicine of a tertiary hospital in Zunyi City from September to December 2023 were randomly divided into an experimental group and a control group(with 35 cases in each group).The experimental group implemented graded exercise rehabilitation based on the Global Chronic Obstructive Pulmonary Initiative guidelines,and the control group implemented routine exercise rehabilitation.After intervention,the lung function,blood gas analysis,oxygenation index,6 min walking test and the incidence of complications related to non-invasive mechanical ventilation were compared between the 2 groups.Results Finally,34 cases were included in the experimental group and 35 cases in the control group.After intervention,the forced expiratory volume in the first second of the experimental group was improved compared with the control group(P＜0.05).The 6-minute walking test of the experimental group was higher than that of the control group(P＜0.05).The total incidence of non-invasive mechanical ventilation-related complications in the experimental group was lower than that in the control group(P＜0.05).There was no significant difference in blood gas analysis and oxygenation index between the 2 groups(P＜0.05).Conclusion The implementation of graded exercise rehabilitation based on the Global Chronic Obstructive Pulmonary Initiative guidelines can help patients with acute exacerbation of chronic obstructive pulmonary disease improve their respiratory function,improve their exercise endurance,and reduce non-invasive mechanical ventilation-related complications.

Objective:To investigate the predictive value of serum cholinesterase(CHE)and soluble growth stimula-tion gene 2 protein(sST2)for short-term death in patients with myocardial infarction and heart failure.Methods:A total of 100 patients with myocardial infarction and heart failure admitted in Nanjing Benq Hospital between March 2021 and March 2023 were screened.After 6-month follow-up,patients were grouped according to pres-ence of death.Multivariate Cox regression was used to analyze the factors associated with death during 6-month follow-up in patients with myocardial infarction and heart failure.The predictive value of CHE,sST2 and their combined detection for short-term death in patients with myocardial infarction and heart failure was analyzed by receiver operating characteristic(ROC)curve.Kaplan-Meier survival curve was used to compare short-term sur-vival rate between myocardial infarction and heart failure patients with different CHE and sST2 levels.Results:During 6-month follow-up,46 cases died.Compared to those in survival group,patients in death group had sig-nificant higher heart rate(HR)[(82.20±8.09)beats/min vs.(71.54±6.97)beats/min],mean arterial pressure(MAP)[(126.58±5.38)mmHg vs.(104.79±4.94)mmHg]and sST2[(76.48±4.82)ng/ml vs.(40.62±4.96)ng/ml],and significant lower CHE[(3.47±0.26)IU/L vs.(5.07±0.80)IU/L](P＜0.001 all).Multivariate Cox regression showed that HR(HR 1.046,95％CI 1.002～1.092,P=0.040),MAP(HR 1.988,95％CI 1.298～2.455,P＜0.001),and sST2(HR 1.068,95％CI 1.014～1.125,P=0.013)were independent risk factors for short-term death in patients with myocardial infarction and heart failure,while CHE was its independent protec-tive factor(HR=0.252,95％CI 0.145～0.561,P=0.023).ROC curve analysis indicated that the area under the curve(AUC)of CHE,sST2 and their combination for diagnosing short-term death in patients with myocardial in-farction and heart failure was 0.609(95％0.504～0.707),0.630(95％0.525～0.726)and 0.939(95％0.871～0.977)respectively,and the diagnostic efficacy of combined detection was significantly higher than CHE and sST2 alone(Z=5.814,5.524,P＜0.001 all).Kaplan-Meier survival curve showed that the survival rate of patients with low CHE level was significantly lower than that of patients with high CHE level,and the survival rate of pa-tients with high sST2 level was significantly lower than that of patients with low sST2 level(Log-rank x2=2.415,2.354,P＜0.001 all).Conclusion:CHE and sST2 were independent influencing factors for death during 6-month follow-up in patients with myocardial infarction and heart failure;their combined detection had good predictive value for short-term death in these patients.

Objective:Near-infrared(NIR)spectroscopy technology faces the problem of insufficient model generalization due to individual differences in non-invasive blood glucose testing,in order to solve this problem,to improve data utilization,and to build predictive models with stronger generalization ability,this study introduces a transfer learning method to study the NIR spectroscopy non-invasive glucose testing.Methods:Migration learning is a machine learning technique that aims to improve task performance in the target domain by transferring knowledge from the source domain to the target domain.In this study,we used community population data as the source domain and student population data as the target domain to improve the performance of the noninvasive glucose detection model on the target domain.In order to verify the effectiveness of migration learning,this study compares the performance of the model before and after migration learning.Results:the model's performance on the noninvasive glucose detection task is significantly improved by the migration learning strategy,and the MAPE and MAE of the migrated model decreases by 52.5460％and 6.0805％,respectively,and the RMSE and MSE decreases by 10.7215％and 12.1135％.Conclusions:This study demonstrates the promising application of transfer learning in the field of non-invasive blood glucose detection,which is expected to realize portable and continuous blood glucose monitoring in the future by migrating the features that are difficult to access in the source domain but are related to blood glucose values to the target domain,which will greatly improve the quality of life of diabetic patients.Advances in noninvasive glucose testing technology will not only reduce patients' pain,but also provide a more convenient means of glucose monitoring,which will provide strong support for diabetes management.

Objective To analyze the effect of graded exercise rehabilitation in patients with acute exacerbation of chronic obstructive pulmonary disease,and to provide references for clinical nursing practice.Methods A total of 70 patients with acute exacerbation of chronic obstructive pulmonary disease who met the criteria in the Department of Respiratory Medicine of a tertiary hospital in Zunyi City from September to December 2023 were randomly divided into an experimental group and a control group(with 35 cases in each group).The experimental group implemented graded exercise rehabilitation based on the Global Chronic Obstructive Pulmonary Initiative guidelines,and the control group implemented routine exercise rehabilitation.After intervention,the lung function,blood gas analysis,oxygenation index,6 min walking test and the incidence of complications related to non-invasive mechanical ventilation were compared between the 2 groups.Results Finally,34 cases were included in the experimental group and 35 cases in the control group.After intervention,the forced expiratory volume in the first second of the experimental group was improved compared with the control group(P＜0.05).The 6-minute walking test of the experimental group was higher than that of the control group(P＜0.05).The total incidence of non-invasive mechanical ventilation-related complications in the experimental group was lower than that in the control group(P＜0.05).There was no significant difference in blood gas analysis and oxygenation index between the 2 groups(P＜0.05).Conclusion The implementation of graded exercise rehabilitation based on the Global Chronic Obstructive Pulmonary Initiative guidelines can help patients with acute exacerbation of chronic obstructive pulmonary disease improve their respiratory function,improve their exercise endurance,and reduce non-invasive mechanical ventilation-related complications.