Ketosis is an energy metabolism disorder occurring frequently in periparturient dairy cows,primarily attributed to elevated non-esterified fatty acid(NEFA)levels resulting from nega-tive energy balance(NEB).Excessive NEFA will be incompletely oxidated into large amounts of ketone bodies or be re-esterified and deposit in the liver as a consequence of hepatic limited oxida-tive capacity,ultimately leading to ketosis and fatty liver.Hypoxic microenvironments are com-monly found during the progression of various liver diseases.Hypoxia inducible factor-2 alpha(HIF-2 alpha)has been identified as a crucial regulator of lipid metabolism.However,it is still un-clear the association between HIF-2α and disrupted lipid metabolism in the livers of in ketotic cows.This study aims to investigate the effect of high concentrations of NEFA on HIF-2α expres-sion and cellular oxygen homeostasis through bovine liver tissue and primary hepatocytes.In vivo,hepatic triglyceride(TAG)content was assessed to determine the extent of hepatic lipid accumula-tion,and HIF-2α protein and mRNA levels were analyzed by immunohistochemistry staining,Western blot and qRT-PCR assay in liver tissue samples from dairy cows;in vitro,bovine primary hepatocytes were treated with different concentrations of NEFA.Oil Red O staining and TAG con-tent assay were performed to determine hepatocellular steatosis extent,and immunofluorescence staining.Western blot,and qRT-PCR were performed to analyze HIF-2α expression,in addition,lu-minescent oxygen sensor[Ru(dpp)3]Cl2 was added to indicate intracellular oxygen levels.These results showed a significant increase in TAG content and elevated HIF-2α expression in the liver tissue of ketotic cows,and high concentrations of NEFA induced lipid accumulation,upregulation of HIF-2α expression,and intracellular hypoxia in bovine primary hepatocytes.These findings sug-gested that HIF-2α was significantly"activated"in the liver of ketotic cows and high concentration of NEFA-induced bovine primary hepatocytes,and that high concentrations of NEFA induced in-tracellular hypoxia in vitro.This study provides a potential molecular target for further investiga-tion of the mechanism underlying hepatic lipid metabolism disorders in ketotic cows.

From the perspective of new quality productivity,it is a new direction and opportunity to train innovative talents with modern technology and professional knowledge.This paper introduces the practice of"Topic-based"experimental teaching in the course of Clinical Immunology Laboratory Technology,and explores the possible ways to train new qualified personnel of medical labo-ratory technology.

From the perspective of new quality productivity,it is a new direction and opportunity to train innovative talents with modern technology and professional knowledge.This paper introduces the practice of"Topic-based"experimental teaching in the course of Clinical Immunology Laboratory Technology,and explores the possible ways to train new qualified personnel of medical labo-ratory technology.

Objective:To screen risk factors for ICU-acquired weakness in patients with mechanical ventilation and construct a predictive model, so as to provide a basis for the health management of patients with mechanical ventilation.Methods:Convenience sampling was used to select 312 ICU patients with mechanical ventilation admitted to the Tenth People's Hospital of Tongji University from October 2019 to August 2020 for the study. Patients were divided into training set ( n=220) and test set ( n=92) in a 7∶3 ratio. Based on machine learning algorithms, decision random forest (DRF), extremely-randomized trees (XRT) and generalized linear model (GLM) were used to construct three ICU-acquired weakness risk prediction models for patients with mechanical ventilation, respectively. The performance of the prediction model was evaluated using the area under the receiver operating characteristic curve ( AUC), the area under the precision-recall curve ( AUPRC), and the root mean square error ( RMSE) . Results:There were 7 predictors of risk of ICU-acquired weakness in patients with mechanical ventilation, including age, gender, braking, duration of mechanical ventilation, blood glucose, lactic acid, and parenteral nutrition. Test set and training set validation showed that AUC and AUPRC of GLM prediction model were greater than those of DRF, XRT prediction model. Test set validation indicated that the RMSE, logarithmic loss of GLM prediction model was less than those of DRF, XRT prediction model. Conclusions:Machine learning algorithm based GLM prediction model has good prediction performance. Healthcare professionals can construct evidence-based decisions for interventions in areas such as braking, duration of mechanical ventilation, and blood glucose management.

Objective To understand the epidemiological characteristics and trends of postoperative pneumonia(POP)in tertiary general hospitals in Jiangsu Province,and provide theoretical basis for carrying out targeted pre-vention and control measures.Methods Surgery patients from 22 tertiary general hospitals in 12 cities in north,central,and south of Jiangsu Province from January 1,2022 to December 31,2023 were chosen as studied subjects,occurrence of POP was analyzed and compared.Results A total of 848 274 surgical procedures were performed in 22 hospitals,and 3 606 cases of POP occurred,with an incidence of 0.43％.The incidence in 2023 was 0.37％,which was lower than that in 2022(0.49％),with statistically significant difference(P＜0.001).The top three de-partments with high incidence of POP were neurosurgery(6.71％),cardiothoracic surgery(2.91％),and general surgery(0.77％).Among hospitals of different grades,the incidence of POP in tertiary first-class hospitals was 0.44％,which was higher than that in other tertiary hospitals(0.37％).There was no statistically significant difference in the incidence of POP between municipal and district/county hospitals(P＞0.05).The incidence of POP in hospitals with a bed:infection control full-time staff ratio＜200∶1 was lower than that in hospitals with the ratio ≥200∶1(0.39％vs 0.47％,P＜0.001),while the incidence of POP in hospitals with a proportion ≥30％of full-time staff being doctors was higher than that in hospitals with a proportion＜30％(0.45％vs 0.36％,P＜0.001).The incidence of POP in male patients was higher than that in female patients(0.62％vs 0.26％,P＜0.001).The incidence of POP in elderly patients aged≥65 was higher than that in patients aged＜65(0.73％vs 0.26％,P＜0.001).A total of 2 667 strains of infectious pathogens were detected,with the top three being Acine-tobacter baumannii,Klebsiella pneumoniae,and Pseudomonas aeruginosa,accounting for 28.95％,22.72％,and 15.45％,respectively.The detection rates of carbapenem-resistant Acinetobacter baumannii(CRAB),carba-penem-resistant Klebsiella pneumoniae(CRKP),and carbapenem-resistant Pseudomonas aeruginosa(CRPA)were 60.75％,21.45％,and 32.28％,respectively.The detection rate of CRKP decreased in 2023 compared with 2022,with statistically significant difference(P＜0.05).Conclusion The overall incidence of POP in tertiary general hos-pitals in Jiangsu Province is relatively low,but there are significant differences among different hospitals.There-fore,perioperative prevention and control measures should be carried out based on the epidemiological characteristics of patients.

Objective To understand the epidemiological characteristics and trends of postoperative pneumonia(POP)in tertiary general hospitals in Jiangsu Province,and provide theoretical basis for carrying out targeted pre-vention and control measures.Methods Surgery patients from 22 tertiary general hospitals in 12 cities in north,central,and south of Jiangsu Province from January 1,2022 to December 31,2023 were chosen as studied subjects,occurrence of POP was analyzed and compared.Results A total of 848 274 surgical procedures were performed in 22 hospitals,and 3 606 cases of POP occurred,with an incidence of 0.43％.The incidence in 2023 was 0.37％,which was lower than that in 2022(0.49％),with statistically significant difference(P＜0.001).The top three de-partments with high incidence of POP were neurosurgery(6.71％),cardiothoracic surgery(2.91％),and general surgery(0.77％).Among hospitals of different grades,the incidence of POP in tertiary first-class hospitals was 0.44％,which was higher than that in other tertiary hospitals(0.37％).There was no statistically significant difference in the incidence of POP between municipal and district/county hospitals(P＞0.05).The incidence of POP in hospitals with a bed:infection control full-time staff ratio＜200∶1 was lower than that in hospitals with the ratio ≥200∶1(0.39％vs 0.47％,P＜0.001),while the incidence of POP in hospitals with a proportion ≥30％of full-time staff being doctors was higher than that in hospitals with a proportion＜30％(0.45％vs 0.36％,P＜0.001).The incidence of POP in male patients was higher than that in female patients(0.62％vs 0.26％,P＜0.001).The incidence of POP in elderly patients aged≥65 was higher than that in patients aged＜65(0.73％vs 0.26％,P＜0.001).A total of 2 667 strains of infectious pathogens were detected,with the top three being Acine-tobacter baumannii,Klebsiella pneumoniae,and Pseudomonas aeruginosa,accounting for 28.95％,22.72％,and 15.45％,respectively.The detection rates of carbapenem-resistant Acinetobacter baumannii(CRAB),carba-penem-resistant Klebsiella pneumoniae(CRKP),and carbapenem-resistant Pseudomonas aeruginosa(CRPA)were 60.75％,21.45％,and 32.28％,respectively.The detection rate of CRKP decreased in 2023 compared with 2022,with statistically significant difference(P＜0.05).Conclusion The overall incidence of POP in tertiary general hos-pitals in Jiangsu Province is relatively low,but there are significant differences among different hospitals.There-fore,perioperative prevention and control measures should be carried out based on the epidemiological characteristics of patients.

Ketosis is an energy metabolism disorder occurring frequently in periparturient dairy cows,primarily attributed to elevated non-esterified fatty acid(NEFA)levels resulting from nega-tive energy balance(NEB).Excessive NEFA will be incompletely oxidated into large amounts of ketone bodies or be re-esterified and deposit in the liver as a consequence of hepatic limited oxida-tive capacity,ultimately leading to ketosis and fatty liver.Hypoxic microenvironments are com-monly found during the progression of various liver diseases.Hypoxia inducible factor-2 alpha(HIF-2 alpha)has been identified as a crucial regulator of lipid metabolism.However,it is still un-clear the association between HIF-2α and disrupted lipid metabolism in the livers of in ketotic cows.This study aims to investigate the effect of high concentrations of NEFA on HIF-2α expres-sion and cellular oxygen homeostasis through bovine liver tissue and primary hepatocytes.In vivo,hepatic triglyceride(TAG)content was assessed to determine the extent of hepatic lipid accumula-tion,and HIF-2α protein and mRNA levels were analyzed by immunohistochemistry staining,Western blot and qRT-PCR assay in liver tissue samples from dairy cows;in vitro,bovine primary hepatocytes were treated with different concentrations of NEFA.Oil Red O staining and TAG con-tent assay were performed to determine hepatocellular steatosis extent,and immunofluorescence staining.Western blot,and qRT-PCR were performed to analyze HIF-2α expression,in addition,lu-minescent oxygen sensor[Ru(dpp)3]Cl2 was added to indicate intracellular oxygen levels.These results showed a significant increase in TAG content and elevated HIF-2α expression in the liver tissue of ketotic cows,and high concentrations of NEFA induced lipid accumulation,upregulation of HIF-2α expression,and intracellular hypoxia in bovine primary hepatocytes.These findings sug-gested that HIF-2α was significantly"activated"in the liver of ketotic cows and high concentration of NEFA-induced bovine primary hepatocytes,and that high concentrations of NEFA induced in-tracellular hypoxia in vitro.This study provides a potential molecular target for further investiga-tion of the mechanism underlying hepatic lipid metabolism disorders in ketotic cows.

Objective:To detect adverse reaction risk signals of triazole antifungal agents and provide evidences for their safe use in clinic.Methods:Adverse reaction/event reports with fluconazole, itraconazole, voriconazole, posaconazole, or isavuconazonium as the primary suspect drug were collected from the data in National Adverse Drug Reaction Monitoring System of China reported by Shandong Province from January 2004 to June 2024 and the US Food and Drug Administration Adverse Event Reporting System (FAERS) database from the first quarter of 2004 to the second quarter of 2023. Adverse reaction/event terms were standardized using the preferred term (PT) and system organ class in Medical Dictionary for Regulatory Activities 24.0. Risk signals were detected using the reporting odds ratio (ROR) method and the Bayesian confidence propagation neural network (BCPNN) algorithm. A PT was defined as an adverse reaction risk signal if the number of reports was ≥3, the lower limit of the 95% confidence interval ( CI) for ROR was >2, and the lower limit of the 95% CI for the information component ( IC) was >0. Descriptive statistical analysis was performed. Results:A total of 3 988 reports with the above 5 antifungal drugs as the primary suspect drug were collected from data in National Adverse Drug Reaction Monitoring System of China reported by Shandong Province, 822 (20.6%) of which were serious cases. Voriconazole, fluconazole, itraconazole, posaconazole, and isavuconazonium was the primary suspect drug in 1 852, 1 395, 703, 27, and 11 cases among the 3 988 reports, and in 591 (31.9%), 149 (10.7%), 59 (8.4%), 18 (66.7%), and 5 (5/11) serious cases among the 822 serious case reports, respectively. A total of 20 066 reports with the above 5 drugs as the primary suspect drug were collected in FAERS database, 9 635 (48.0%) of which were serious cases. Voriconazole, fluconazole, itraconazole, posaconazole, and isavuconazonium was the primary suspect drug in 7 758, 6 180, 2 869, 1 796, and 1 463 cases among the 20 066 reports, and in 4 295 (55.4%), 2 806 (45.4%), 1 191 (41.5%), 828 (46.1%), and 515 (35.2%) serious cases among the 9 635 serious case reports, respectively. Based on the data reported by Shandong Province and in FAERS database, 18 and 207 risk signals of adverse reaction not mentioned in the labels were identified, respectively, and 5 of them were identified in both databases, including fluconazole-induced renal impairment and voriconazole-induced oliguria, delirium, psychiatric disorders, and rhabdomyolysis. In the data reported by Shandong Province and in FAERS database, 13 and 189 reports of muscle-related disorders (rhabdomyolysis, myopathy, and myositis) were identified respectively, involving voriconazole (in 8 and 62 cases), itraconazole (in 4 and 74 cases), and fluconazole (in 1 and 53 cases).Conclusions:Renal impairment induced by fluconazole and oliguria, delirium, psychiatric disorders, and rhabdomyolysis induced by voriconazole are risk signals of adverse reaction not mentioned in the labels for triazole antifungal agents. Voriconazole, itraconazole, and fluconazole may also cause muscle-related disorders, warranting vigilance in clinical practice.

Objective:To detect adverse reaction risk signals of triazole antifungal agents and provide evidences for their safe use in clinic.Methods:Adverse reaction/event reports with fluconazole, itraconazole, voriconazole, posaconazole, or isavuconazonium as the primary suspect drug were collected from the data in National Adverse Drug Reaction Monitoring System of China reported by Shandong Province from January 2004 to June 2024 and the US Food and Drug Administration Adverse Event Reporting System (FAERS) database from the first quarter of 2004 to the second quarter of 2023. Adverse reaction/event terms were standardized using the preferred term (PT) and system organ class in Medical Dictionary for Regulatory Activities 24.0. Risk signals were detected using the reporting odds ratio (ROR) method and the Bayesian confidence propagation neural network (BCPNN) algorithm. A PT was defined as an adverse reaction risk signal if the number of reports was ≥3, the lower limit of the 95% confidence interval ( CI) for ROR was >2, and the lower limit of the 95% CI for the information component ( IC) was >0. Descriptive statistical analysis was performed. Results:A total of 3 988 reports with the above 5 antifungal drugs as the primary suspect drug were collected from data in National Adverse Drug Reaction Monitoring System of China reported by Shandong Province, 822 (20.6%) of which were serious cases. Voriconazole, fluconazole, itraconazole, posaconazole, and isavuconazonium was the primary suspect drug in 1 852, 1 395, 703, 27, and 11 cases among the 3 988 reports, and in 591 (31.9%), 149 (10.7%), 59 (8.4%), 18 (66.7%), and 5 (5/11) serious cases among the 822 serious case reports, respectively. A total of 20 066 reports with the above 5 drugs as the primary suspect drug were collected in FAERS database, 9 635 (48.0%) of which were serious cases. Voriconazole, fluconazole, itraconazole, posaconazole, and isavuconazonium was the primary suspect drug in 7 758, 6 180, 2 869, 1 796, and 1 463 cases among the 20 066 reports, and in 4 295 (55.4%), 2 806 (45.4%), 1 191 (41.5%), 828 (46.1%), and 515 (35.2%) serious cases among the 9 635 serious case reports, respectively. Based on the data reported by Shandong Province and in FAERS database, 18 and 207 risk signals of adverse reaction not mentioned in the labels were identified, respectively, and 5 of them were identified in both databases, including fluconazole-induced renal impairment and voriconazole-induced oliguria, delirium, psychiatric disorders, and rhabdomyolysis. In the data reported by Shandong Province and in FAERS database, 13 and 189 reports of muscle-related disorders (rhabdomyolysis, myopathy, and myositis) were identified respectively, involving voriconazole (in 8 and 62 cases), itraconazole (in 4 and 74 cases), and fluconazole (in 1 and 53 cases).Conclusions:Renal impairment induced by fluconazole and oliguria, delirium, psychiatric disorders, and rhabdomyolysis induced by voriconazole are risk signals of adverse reaction not mentioned in the labels for triazole antifungal agents. Voriconazole, itraconazole, and fluconazole may also cause muscle-related disorders, warranting vigilance in clinical practice.

Objective:To screen risk factors for ICU-acquired weakness in patients with mechanical ventilation and construct a predictive model, so as to provide a basis for the health management of patients with mechanical ventilation.Methods:Convenience sampling was used to select 312 ICU patients with mechanical ventilation admitted to the Tenth People's Hospital of Tongji University from October 2019 to August 2020 for the study. Patients were divided into training set ( n=220) and test set ( n=92) in a 7∶3 ratio. Based on machine learning algorithms, decision random forest (DRF), extremely-randomized trees (XRT) and generalized linear model (GLM) were used to construct three ICU-acquired weakness risk prediction models for patients with mechanical ventilation, respectively. The performance of the prediction model was evaluated using the area under the receiver operating characteristic curve ( AUC), the area under the precision-recall curve ( AUPRC), and the root mean square error ( RMSE) . Results:There were 7 predictors of risk of ICU-acquired weakness in patients with mechanical ventilation, including age, gender, braking, duration of mechanical ventilation, blood glucose, lactic acid, and parenteral nutrition. Test set and training set validation showed that AUC and AUPRC of GLM prediction model were greater than those of DRF, XRT prediction model. Test set validation indicated that the RMSE, logarithmic loss of GLM prediction model was less than those of DRF, XRT prediction model. Conclusions:Machine learning algorithm based GLM prediction model has good prediction performance. Healthcare professionals can construct evidence-based decisions for interventions in areas such as braking, duration of mechanical ventilation, and blood glucose management.