Prediabetes and diabetes are important disease processes which have several perioperative implications.About one third of the United States population is considered to have prediabetes.The prevalence in surgical patie...Prediabetes and diabetes are important disease processes which have several perioperative implications.About one third of the United States population is considered to have prediabetes.The prevalence in surgical patients is even higher.This is due to the associated micro and macrovascular complications of diabetes that result in the need for subsequent surgical procedures.A careful preoperative evaluation of diabetic patients and patients at risk for prediabetes is essential to reduce perioperative mortality and morbidity.This preoperative evaluation involves an optimization of preoperative comorbidities.It also includes optimization of antidiabetic medication regimens,as the avoidance of unintentional hypoglycemic and hyperglycemic episodes during the perioperative period is crucial.The focus of the perioperative management is to ensure euglycemia and thus improve postoperative outcomes.Therefore,prolonged preoperative fasting should be avoided and close monitoring of blood glucose should be initiated and continued throughout surgery.This can be accomplished with either analysis in blood gas samples,venous phlebotomy or point-of-care testing.Although capillary and arterial whole blood glucose do not meet standard guidelines for glucose testing,they can still be used to guide insulin dosing in the operating room.Intraoperative glycemic control goals may vary slightly in different protocols but overall the guidelines suggest a glucose range in the operating room should be between 140 mg/dL to 180 mg/dL.When hyperglycemia is detected in the operating room,blood glucose management may be initiated with subcutaneous rapid-acting insulin,with intravenous infusion or boluses of regular insulin.Fluid and electrolyte management are other perioperative challenges.Notably diabetic ketoacidosis and hyperglycemic hyperosmolar nonketotic state are the two most serious acute metabolic complications of diabetes that must be recognized early and treated.展开更多
When patients having major surgery reach the post-anaesthesia care unit,families naturally assume that they have survived the most dangerous part of the perioperative experience.Their assumption is wrong.Mortality in ...When patients having major surgery reach the post-anaesthesia care unit,families naturally assume that they have survived the most dangerous part of the perioperative experience.Their assumption is wrong.Mortality in the 30 days after surgery is 140 times higher than intraoperative mortality.^([1,2])In fact,if the month after surgery were considered a disease,it would be the world’s third leading cause of death.^([3])展开更多
BACKGROUND Cannabis use has increased among young individuals in recent years.Although dependent cannabis use disorder(CUD)has been associated with various cardiac events,its effects on young adults without concurrent...BACKGROUND Cannabis use has increased among young individuals in recent years.Although dependent cannabis use disorder(CUD)has been associated with various cardiac events,its effects on young adults without concurrent substance use remain understudied.AIM To examine trends in hospitalizations for major adverse cardiac and cerebrovascular events(MACCE)in this cohort.METHODSWe used the National Inpatient Sample(2016-2019)to identify hospitalized young individuals(18-44 years),excluding those with concurrent substance usage(tobacco,alcohol,and cocaine).They were divided into CUD+and CUD-.Using International Classification of Diseases-10 codes,we examined the trends in MACCE hospitalizations,including all-cause mortality(ACM),acute myocardial infarction(AMI),cardiac arrest(CA),and acuteischemic stroke(AIS).RESULTSOf 27.4 million hospitalizations among young adults without concurrent substance abuse,4.2%(1.1 million)hadco-existent CUD.In CUD+group,hospitalization rates for MACCE(1.71%vs 1.35%),AMI(0.86%vs 0.54%),CA(0.27%vs 0.24%),and AIS(0.49%vs 0.35%)were higher than in CUD-group(P<0.001).However,rate of ACMhospitalizations was lower in CUD+group(0.30%vs 0.44%).From 2016 to 2019,CUD+group experienced arelative rise of 5%in MACCE and 20%in AMI hospitalizations,compared to 22%and 36%increases in CUDgroup(P<0.05).The CUD+group had a 13%relative decrease in ACM hospitalizations,compared to a 10%relative rise in CUD-group(P<0.05).However,when adjusted for confounders,MACCE odds among CUD+cohort remain comparable between 2016 and 2019.CONCLUSIONThe CUD+group had higher rates of MACCE,but the rising trends were more apparent in the CUD-group overtime.Interestingly,the CUD+group had lower ACM rates than the CUD-group.展开更多
文摘Prediabetes and diabetes are important disease processes which have several perioperative implications.About one third of the United States population is considered to have prediabetes.The prevalence in surgical patients is even higher.This is due to the associated micro and macrovascular complications of diabetes that result in the need for subsequent surgical procedures.A careful preoperative evaluation of diabetic patients and patients at risk for prediabetes is essential to reduce perioperative mortality and morbidity.This preoperative evaluation involves an optimization of preoperative comorbidities.It also includes optimization of antidiabetic medication regimens,as the avoidance of unintentional hypoglycemic and hyperglycemic episodes during the perioperative period is crucial.The focus of the perioperative management is to ensure euglycemia and thus improve postoperative outcomes.Therefore,prolonged preoperative fasting should be avoided and close monitoring of blood glucose should be initiated and continued throughout surgery.This can be accomplished with either analysis in blood gas samples,venous phlebotomy or point-of-care testing.Although capillary and arterial whole blood glucose do not meet standard guidelines for glucose testing,they can still be used to guide insulin dosing in the operating room.Intraoperative glycemic control goals may vary slightly in different protocols but overall the guidelines suggest a glucose range in the operating room should be between 140 mg/dL to 180 mg/dL.When hyperglycemia is detected in the operating room,blood glucose management may be initiated with subcutaneous rapid-acting insulin,with intravenous infusion or boluses of regular insulin.Fluid and electrolyte management are other perioperative challenges.Notably diabetic ketoacidosis and hyperglycemic hyperosmolar nonketotic state are the two most serious acute metabolic complications of diabetes that must be recognized early and treated.
文摘When patients having major surgery reach the post-anaesthesia care unit,families naturally assume that they have survived the most dangerous part of the perioperative experience.Their assumption is wrong.Mortality in the 30 days after surgery is 140 times higher than intraoperative mortality.^([1,2])In fact,if the month after surgery were considered a disease,it would be the world’s third leading cause of death.^([3])
文摘BACKGROUND Cannabis use has increased among young individuals in recent years.Although dependent cannabis use disorder(CUD)has been associated with various cardiac events,its effects on young adults without concurrent substance use remain understudied.AIM To examine trends in hospitalizations for major adverse cardiac and cerebrovascular events(MACCE)in this cohort.METHODSWe used the National Inpatient Sample(2016-2019)to identify hospitalized young individuals(18-44 years),excluding those with concurrent substance usage(tobacco,alcohol,and cocaine).They were divided into CUD+and CUD-.Using International Classification of Diseases-10 codes,we examined the trends in MACCE hospitalizations,including all-cause mortality(ACM),acute myocardial infarction(AMI),cardiac arrest(CA),and acuteischemic stroke(AIS).RESULTSOf 27.4 million hospitalizations among young adults without concurrent substance abuse,4.2%(1.1 million)hadco-existent CUD.In CUD+group,hospitalization rates for MACCE(1.71%vs 1.35%),AMI(0.86%vs 0.54%),CA(0.27%vs 0.24%),and AIS(0.49%vs 0.35%)were higher than in CUD-group(P<0.001).However,rate of ACMhospitalizations was lower in CUD+group(0.30%vs 0.44%).From 2016 to 2019,CUD+group experienced arelative rise of 5%in MACCE and 20%in AMI hospitalizations,compared to 22%and 36%increases in CUDgroup(P<0.05).The CUD+group had a 13%relative decrease in ACM hospitalizations,compared to a 10%relative rise in CUD-group(P<0.05).However,when adjusted for confounders,MACCE odds among CUD+cohort remain comparable between 2016 and 2019.CONCLUSIONThe CUD+group had higher rates of MACCE,but the rising trends were more apparent in the CUD-group overtime.Interestingly,the CUD+group had lower ACM rates than the CUD-group.
