Chemotherapy-induced neutropenia(CIN)is a potentially fatal and common complication in myelosuppressive chemotherapy.The timing and grade of CIN may play prognostic and predictive roles in cancer therapy.CIN is associ...Chemotherapy-induced neutropenia(CIN)is a potentially fatal and common complication in myelosuppressive chemotherapy.The timing and grade of CIN may play prognostic and predictive roles in cancer therapy.CIN is associated with older age,poor functional and nutritional status,the presence of significant comorbidities,the type of cancer,previous chemotherapy cycles,the stage of the disease,specific chemotherapy regimens,and combined therapies.There are many key points and new challenges in the management of CIN in adults including:(1)Genetic risk factors to evaluate the patient’s risk for CIN remain unclear.However,these risk factors urgently need to be identified.(2)Febrile neutropenia(FN)remains one of the most common reasons for oncological emergency.No consensus nomogram for FN risk assessment has been established.(3)Different assessment tools[e.g.,Multinational Association for Supportive Care in Cancer(MASCC),the Clinical Index of Stable Febrile Neutropenia(CISNE)score model,and other tools]have been suggested to help stratify the risk of complications in patients with FN.However,current tools have limitations.The CISNE score model is useful to support decision-making,especially for patients with stable FN.(4)There are still some challenges,including the benefits of granulocyte colony stimulating factor treatment and the optimal antibiotic regimen in emergency management of FN.In view of the current reports,our group discusses the key points,new challenges,and management of CIN.展开更多
To the Editor:Severe acute pancreatitis(SAP)is a common critical disease in gastroenterology,and 69.3%of patients have acute kidney injury(AKI).^([1])Early diagnosis and treatment are very important in improving the p...To the Editor:Severe acute pancreatitis(SAP)is a common critical disease in gastroenterology,and 69.3%of patients have acute kidney injury(AKI).^([1])Early diagnosis and treatment are very important in improving the prognosis of these patients.In recent years,machine learning models have been widely used in the medical field due to their excellent prediction performance.Some scholars have developed machine learning models that can solve the AKI prediction problem in specific populations and achieved good results.^([2])However,considering that the occurrence of AKI in patients with pancreatitis is also closely related to factors such as amylase and inflammatory markers,it is necessary to construct an AKI prediction model for the pancreatitis population.展开更多
基金supported by grants from the Demonstrative Research Platform of Clinical Evaluation Technology for New Anticancer Drugs(Grant Nos.18ZX09201-015 and 2017ZX09304015)the Innovation Fund for Medical Sciences of the Chinese Academy of Medical Sciences(Grant No.CIFMS,2016-I2M-1-001)。
文摘Chemotherapy-induced neutropenia(CIN)is a potentially fatal and common complication in myelosuppressive chemotherapy.The timing and grade of CIN may play prognostic and predictive roles in cancer therapy.CIN is associated with older age,poor functional and nutritional status,the presence of significant comorbidities,the type of cancer,previous chemotherapy cycles,the stage of the disease,specific chemotherapy regimens,and combined therapies.There are many key points and new challenges in the management of CIN in adults including:(1)Genetic risk factors to evaluate the patient’s risk for CIN remain unclear.However,these risk factors urgently need to be identified.(2)Febrile neutropenia(FN)remains one of the most common reasons for oncological emergency.No consensus nomogram for FN risk assessment has been established.(3)Different assessment tools[e.g.,Multinational Association for Supportive Care in Cancer(MASCC),the Clinical Index of Stable Febrile Neutropenia(CISNE)score model,and other tools]have been suggested to help stratify the risk of complications in patients with FN.However,current tools have limitations.The CISNE score model is useful to support decision-making,especially for patients with stable FN.(4)There are still some challenges,including the benefits of granulocyte colony stimulating factor treatment and the optimal antibiotic regimen in emergency management of FN.In view of the current reports,our group discusses the key points,new challenges,and management of CIN.
文摘To the Editor:Severe acute pancreatitis(SAP)is a common critical disease in gastroenterology,and 69.3%of patients have acute kidney injury(AKI).^([1])Early diagnosis and treatment are very important in improving the prognosis of these patients.In recent years,machine learning models have been widely used in the medical field due to their excellent prediction performance.Some scholars have developed machine learning models that can solve the AKI prediction problem in specific populations and achieved good results.^([2])However,considering that the occurrence of AKI in patients with pancreatitis is also closely related to factors such as amylase and inflammatory markers,it is necessary to construct an AKI prediction model for the pancreatitis population.
