Objective To analyze adverse drug event(ADE)signals associated with exenatide based on data from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS),and to provide insights for rational medication use in clinical settings.Methods ADE reports of exenatide as the primary suspected drug were obtained by collecting the data of FAERS database from the first quarter 2014 to the second quarter 2024.ADE signals were analyzed by joint reporting odds ratio(ROR)method,proportional reporting odds ratio(PRR)method,Bayesian confidence interval progressive neural network(BCPNN)method and multi-item gamma Poisson shrinker(MGPS)method.Results After data cleaning,118 745 reports of exenatide-related ADEs were collected.These ADEs spanned 14 system-organ classes and involved 185 preferred terms.Commonly reported ADEs included reactions at the injection site,hypoglycemia,reduced appetite,and cholelithiasis.Severe ADEs were primarily cases of acute pancreatitis,in consistent with the drug's labeling.Moreover,the instructions did not record ADE signals of pancreatic cancer,thyroiditis,and reduced frustration tolerance.Conclusion Prescription of the exenatide should be vigilant about the signals not listed on the product labeling,such as pancreatic cancer,thyroid cancer,and decreased frustration tolerance,to improve the safety of medication use in patients.

Objective To mine adverse drug event(ADE)signals of pioglitazone,and to provide references for the safe clinical use of the medication.Methods The reporting odds ratio(ROR)method and the Bayesian confidence propagation neural network(BCPNN)method were utilized to analyze pioglitazone ADE reports from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database,spanning from the first quarter of 2013 to the second quarter of 2024.Results After data cleaning,a total of 16 904 pioglitazone ADE reports were retrieved.The ADE reports primarily involved individuals over the age of 45,with a male predominance,and were mainly reported from the United States.After screening,180 ADE signals were identified,affecting 27 system-organ classes(SOC).Out of these,34 ADE signals were classified as medium to high risk,with 9 ADE signals not mentioned in the product labeling,including ureteral cancer,urethral cancer,gallbladder tumors,malignant tumors of the renal pelvis,pericardial tamponade,left ventricular dysfunction,pulmonary edema,cystitis,and somniloquy.Conclusion In addition to closely monitoring weight gain,systemic edema,and heart failure,clinical attention should be given to left ventricular dysfunction,pulmonary edema,cystitis,and pericardial tamponade ADEs that are not mentioned in the instructions,to ensure the safety of pioglitazone use in clinical practice.

Objective To investigate post-marketing adverse drug event(ADE)signals associated with lixisenatide,and to provide guidance for safe clinical use.Methods The ADE reporting data of lixisenatide ADE were mined and the signals were detected from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database from the first quarter 2013 to the second quarter 2024 using the reporting odds ratio(ROR)method and Bayesian confidence propagation neural network(BCPNN)method.Results After data cleaning,a total of 5 162 ADE reports with lixisenatide as the primary suspected drug were collected.The 85 ADE signals identified by the two statistical analysis methods,affected 14 system-organ classes(SOC).They were primarily concentrated in injuries,poisonings,and procedural complications(25.88％),various examinations(14.12％),systemic diseases and reactions at administration sites(14.12％),gastrointestinal diseases(9.41％),and various neurological diseases(5.88％).There were 28 ADE signals such as pancreatitis,visual impairment,and color blindness,that were not included in the drug instructions.Conclusion In addition to monitoring for common ADE associated with GLP-1 receptor agonists such as hypoglycemia,gastrointestinal,and neurological effects,clinicians should also be vigilant for underlying ADE like pancreatic-related diseases,eye toxicity reaction when using lixisenatide to ensure safe and rational medication use.

bjective To mine signals of post-marketing adverse drug events(ADEs)associated with dapagliflozin,and to provide insights for safe medication in clinical settings.Methods Data on ADEs related to dapagliflozin from U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)were collected from the first quarter of 2013 to the third quarter of 2024.The analyses involved data mining and signal monitoring using disproportionality analysis techniques including the reporting odds ratio(ROR)method,Medicines and Healthcare Products Regulatory Agency(MHRA)method,Bayesian confidence propagation neural network(BCPNN)method,and multi-item gamma Poisson shrinker(MGPS)method.Results After data cleaning,a total of 55 832 qualified dapagliflozin case reports were obtained,involving 25 090 patients,with a slightly higher percentage of males(44.99％)than females(41.18％).The predominant age group was 45 to 64 years(20.78％).A total of 379 ADE signals were detected across 22 system-organ classes(SOC).The ADEs of dapagliflozin were mainly concentrated in the SOC such as infections and infestations,general disorders and administration sites conditions,and metabolism and nutrition disorders,aligning with information provided in the drug instructions.Additionally,the ADE signals were not documented in drug inserts such as scrotal gangrene,periperineal cellulitis,scrotal abscess,hyperglycemia,ketonuria,and pancreatitis.Conclusion When clinically using dapagliflozin,it is essential to conduct a thorough medication assessment.In addition to closely monitoring diabetes ketoacidosis,fungal infection,and acute renal injury.The latent ADEs that are not mentioned in the instructions to should be noticed ensure safe medication.

Objective To mine the real-world risk signals associated with saxagliptin-related adverse drug event(ADE),and to provide insights for evidence-based use of the drug in clinical practice.Methods Data on ADE related to saxagliptin from U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)were collected from the first quarter of 2013 to the third quarter of 2024,and analyzed using the reporting odds ratio(ROR)and Bayesian confidence propagation neural network(BCPNN)techniques.Results After data cleaning,the study analyzed 2 036 qualified case reports from patients who were using saxagliptin,uncovering 4 497 adverse events and identifying 131 adverse event signals across 19 system-organ classes(SOCs),including cardiac organ system diseases(20.61％),various types of investigations(10.69％),and gastrointestinal tract diseases(13.74％).Among them,heart failure,pancreatitis,pancreatic cancer,and hypoglycaemic coma were high-intensity signals.Conclusion In clinical practice,the indications for saxagliptin should be strictly managed.It is advisable to avoid using saxagliptin as monotherapy in patients with a history of heart failure or in patients at elevated risk for arteriosclerotic cardiovascular disease.Continuous monitoring of essential organ functions,especially cardiac and pancreatic,is essential throughout the course of treatment to ensure the safety of the medication.

Objective To investigate post-marketing adverse drug event(ADE)signals associated with lixisenatide,and to provide guidance for safe clinical use.Methods The ADE reporting data of lixisenatide ADE were mined and the signals were detected from the U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)database from the first quarter 2013 to the second quarter 2024 using the reporting odds ratio(ROR)method and Bayesian confidence propagation neural network(BCPNN)method.Results After data cleaning,a total of 5 162 ADE reports with lixisenatide as the primary suspected drug were collected.The 85 ADE signals identified by the two statistical analysis methods,affected 14 system-organ classes(SOC).They were primarily concentrated in injuries,poisonings,and procedural complications(25.88％),various examinations(14.12％),systemic diseases and reactions at administration sites(14.12％),gastrointestinal diseases(9.41％),and various neurological diseases(5.88％).There were 28 ADE signals such as pancreatitis,visual impairment,and color blindness,that were not included in the drug instructions.Conclusion In addition to monitoring for common ADE associated with GLP-1 receptor agonists such as hypoglycemia,gastrointestinal,and neurological effects,clinicians should also be vigilant for underlying ADE like pancreatic-related diseases,eye toxicity reaction when using lixisenatide to ensure safe and rational medication use.

bjective To mine signals of post-marketing adverse drug events(ADEs)associated with dapagliflozin,and to provide insights for safe medication in clinical settings.Methods Data on ADEs related to dapagliflozin from U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)were collected from the first quarter of 2013 to the third quarter of 2024.The analyses involved data mining and signal monitoring using disproportionality analysis techniques including the reporting odds ratio(ROR)method,Medicines and Healthcare Products Regulatory Agency(MHRA)method,Bayesian confidence propagation neural network(BCPNN)method,and multi-item gamma Poisson shrinker(MGPS)method.Results After data cleaning,a total of 55 832 qualified dapagliflozin case reports were obtained,involving 25 090 patients,with a slightly higher percentage of males(44.99％)than females(41.18％).The predominant age group was 45 to 64 years(20.78％).A total of 379 ADE signals were detected across 22 system-organ classes(SOC).The ADEs of dapagliflozin were mainly concentrated in the SOC such as infections and infestations,general disorders and administration sites conditions,and metabolism and nutrition disorders,aligning with information provided in the drug instructions.Additionally,the ADE signals were not documented in drug inserts such as scrotal gangrene,periperineal cellulitis,scrotal abscess,hyperglycemia,ketonuria,and pancreatitis.Conclusion When clinically using dapagliflozin,it is essential to conduct a thorough medication assessment.In addition to closely monitoring diabetes ketoacidosis,fungal infection,and acute renal injury.The latent ADEs that are not mentioned in the instructions to should be noticed ensure safe medication.

Objective To mine the real-world risk signals associated with saxagliptin-related adverse drug event(ADE),and to provide insights for evidence-based use of the drug in clinical practice.Methods Data on ADE related to saxagliptin from U.S.Food and Drug Administration Adverse Event Reporting System(FAERS)were collected from the first quarter of 2013 to the third quarter of 2024,and analyzed using the reporting odds ratio(ROR)and Bayesian confidence propagation neural network(BCPNN)techniques.Results After data cleaning,the study analyzed 2 036 qualified case reports from patients who were using saxagliptin,uncovering 4 497 adverse events and identifying 131 adverse event signals across 19 system-organ classes(SOCs),including cardiac organ system diseases(20.61％),various types of investigations(10.69％),and gastrointestinal tract diseases(13.74％).Among them,heart failure,pancreatitis,pancreatic cancer,and hypoglycaemic coma were high-intensity signals.Conclusion In clinical practice,the indications for saxagliptin should be strictly managed.It is advisable to avoid using saxagliptin as monotherapy in patients with a history of heart failure or in patients at elevated risk for arteriosclerotic cardiovascular disease.Continuous monitoring of essential organ functions,especially cardiac and pancreatic,is essential throughout the course of treatment to ensure the safety of the medication.

Objective To investigate the changes in the structural parameters and mechanical properties of the necrotic femoral head and compare the effects of core decompression and hone grafting with those of bone cement filling on the mechanical properties and pre-vention of articular surface collapse of the necrotic femoral head.Methods Thirty-two fresh human femoral heads were collected from patients who underwent total hip arthroplasty at our hospital between June 2020 and January 2022.The femoral heads were divided into four groups:8 femoral neck fractures(TFF group),8 osteonecrosis of the femoral head(ONFH group),8 osteonecrosis of the femoral head treated with cement percutaneous injection(CPI group),and 8 osteonecrosis of the femoral head treated with core decompression and bone graft(CDBG group).Cement filling or core decompression was performed under radiographic guidance.All samples were scanned and three-dimensionally reconstructed using micro-CT.The spatial heterogeneity of the femoral head was observed,and the bone morphometric parameters of each region of interest were calculated.Mechanical analysis was performed to evaluate the femoral head parameters of dis-placement and stress in vitro.Results Bone microarchitecture and morphometry in necrotic femoral heads were markedly altered.The biomechanical properties of the necrotic zone in the femoral head were markedly weakened.After the necrotic area was filled with bone cement,the biomechanical properties of the necrotic zone of the femoral head increased significantly.In addition,after core decompres-sion and bone grafting in the necrotic area,the biomechanical properties increased significantly in the necrotic zone of the femoral head.Conclusion Bone cement filling or bone grafting in the necrotic area can change the biomechanical mechanism of the femoral head,improve the load-supporting ability,and prevent femoral head collapse.Cement filling may be a practical approach for the treatment of osteonecrosis of the femoral head that can be useful for practicing orthopedists.

Purpose: The prevalence of psychological distress is frequently observed among old adults with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). However, current researches are insufficient to clarify the correlation among these relevant factors. This study examined the effects of symptom burden, psychological resilience, coping styles, and social support on psychological distress. Methods: Two hundred fifty five elderly patients with AECOPD were conveniently selected in Taian, Shandong Province. The General Information Questionnaire, Distress Thermometer, The Revised Memorial Symptom Assessment Scale, Connor-Davidson Resilience Scale, Simplified Coping Style Questionnaire, Perceived Social Support Scale were used to investigate. The relationship among factors was estimated by using a structural equation model. Results: Psychological distress score of elderly patients with AECOPD was (5.25 ± 1.01); coping styles, psychological resilience, symptom burden, and social support directly affected psychological distress (thedirect effects were À.93, .17, .17, and À.09); coping styles had the largest total effect on psychological distress (the total effect was À.93); psychological resilience indirectly affected psychological distress through coping styles (the indirect effect was À.74); symptom burden indirectly affected psychologicaldistress through psychological resilience (the indirect effect was .25); social support indirectly affected psychological distress through symptom burden, psychological resilience, and coping styles (the indirecteffect was À.80). Conclusion The psychological distress of elderly patients with AECOPD is at a moderate level; coping styles, psychological resilience, and social support have positive effects on alleviating the psychological distress of elderly patients with AECOPD; symptom burden is negatively correlated with psychological distress.Healthcare professionals should pay more attention to elderly patients with AECOPD who are particularly prone to experience higher levels of psychological distress, especially in the presence of low coping style, limited psychological resilience, inadequate levels of social support, and high symptom burden.