Objective To explore adverse event(AE)signals of sunitinib and to provide a reference for rational drug monitoring based on the Food and Drug Administration Adverse Event Reporting System(FAERS)database.Methods Report odds ratio method(ROR),proportional report ratio method(PRR),polynomial gamma Poisson distribution reduction method(MGPS),and Bayesian confidence interval progressive neural network method(BCPNN)were used to detect the data risk signal strength of sunitinib from the first quarter of 2006 to the third quarter of 2023.Results A total of 35 720 AE reports of sunitinib were retrieved,with 310 positive signals.Most AEs occurred in the first 30 days after treatment(39.71％).Serious AE accounted for 76.37％;27 system organ classifications(SOCs)were involved in positive signals,and the top three were systemic diseases,various reactions at the administration site,gastrointestinal system diseases,and various examinations.High frequency of death,diarrhea,disease progression,and fatigue;65％of the top 20 AEs were new adverse reactions,such as tumor rupture and diffuse proliferation of uveal melanocytes.Conclusion The evaluation of sunitinib should be improved,and medication monitoring should be strengthened to ensure the safety of patients.

Objective To explore adverse event(AE)signals of sunitinib and to provide a reference for rational drug monitoring based on the Food and Drug Administration Adverse Event Reporting System(FAERS)database.Methods Report odds ratio method(ROR),proportional report ratio method(PRR),polynomial gamma Poisson distribution reduction method(MGPS),and Bayesian confidence interval progressive neural network method(BCPNN)were used to detect the data risk signal strength of sunitinib from the first quarter of 2006 to the third quarter of 2023.Results A total of 35 720 AE reports of sunitinib were retrieved,with 310 positive signals.Most AEs occurred in the first 30 days after treatment(39.71％).Serious AE accounted for 76.37％;27 system organ classifications(SOCs)were involved in positive signals,and the top three were systemic diseases,various reactions at the administration site,gastrointestinal system diseases,and various examinations.High frequency of death,diarrhea,disease progression,and fatigue;65％of the top 20 AEs were new adverse reactions,such as tumor rupture and diffuse proliferation of uveal melanocytes.Conclusion The evaluation of sunitinib should be improved,and medication monitoring should be strengthened to ensure the safety of patients.

Objective To study the prevalence trends and etiology of hand,foot,and mouth disease (HFMD) in hospitalized children.Methods The clinical data of 11 510 cases of children hospitalized with HFMD from 2008 to 2017 in Department of Infection Diseases of Kunming Children's Hospital were collected,and to retrospectively analyze the characteristics,time distribution and pathogen distribution of the cases.Results Of the 11 510 children with HFMD,6 100 were male and 5 410 were female.There were 9 814 cases under 3 years old,1 696 over 3 years old.HFMD occurred throughout the year.The peak months of the disease were April to July,with the time distribution of single peak.There were 4 690 severe cases and 3 452 critical cases,accounting for 70.34％.The main pathogens detected were enteroviruses A71 (EV-A71),coxsackievirus A16 (CV-A16) and other enteroviruses (EV),with 3 803 cases (36.02％),1 122 cases (10.63％) and 3 401 cases (32.21％) respectively.EV-A71 and CV-A16 infections dominated from 2008 to 2013,while EV-A71 and other EV infection dominated from 2014 to 2017.Conclusions EV-A71,CV-A16 and other EV are the main pathogens of HFMD in Kunming.Critical HFMD cases are mainly caused by EV-A71 infection.