title: Outcome measures for outpatient hypoglycemia prevention studies.
abstract: Systems are being developed that utilize algorithms to predict impending hypoglycemia using commercially available continuous glucose monitoring (CGM) devices and to discontinue insulin delivery if hypoglycemia is predicted. In outpatient studies designed to test such systems, CGM-measured glycemic indices will not only be important outcome measures of efficacy but, in certain cases, will be the only good outcome. This is especially true in short-term studies designed to reduce hypoglycemia since the event rate for severe hypoglycemic events is too low for it to be a good outcome, and milder hypoglycemia often will be variably detected. Continuous glucose monitoring inaccuracy can be accounted for in the study design by increasing sample size and/or study duration.
authors: Jaeb Center for Health Research, Tampa, Florida 33647, USA. rbeck@jaeb.org
authors: Roy W
authors: RW
authors: Beck
authors: Craig
authors: C
authors: Kollman
authors: Dongyuan
authors: D
authors: Xing
authors: Bruce A
authors: BA
authors: Buckingham
authors: H Peter
authors: HP
authors: Chase
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015190:Blood Glucose Self-Monitoring / Q000295:instrumentation / Q000379:methods / Q000592:standards; D002648:Child; D006801:Humans; D007003:Hypoglycemia / Q000453:epidemiology / Q000517:prevention & control*; D008875:Middle Aged; D017063:Outcome Assessment, Health Care / Q000379:methods* / Q000706:statistics & numerical data; D010045:Outpatients / Q000706:statistics & numerical data; D011315:Preventive Medicine / Q000379:methods* / Q000592:standards / Q000706:statistics & numerical data; D012107:Research Design; D018401:Sample Size; D016896:Treatment Outcome; D055815:Young Adult