Biomaterial Database

Comparison of the accuracy of glucose reflectance meters in pregnant insulin-dependent diabetics. 1991

L J Harkness, and E R Ashwood, and S Parsons, and R R Lenke

Medical College of Ohio, Toledo.

Home monitoring of blood glucose by reflectance meters has been shown to be accurate in the nonpregnant diabetic and is currently used for outpatient glucose control in the pregnant diabetic as well. Beckman ASTRA glucose results from samples collected into sodium fluoride were used as the standard for this study. Comparisons were then made to four glucose reflectance meters: Accu-Check II, One Touch, DiaScan S, and ExacTech. Although the reflectance meters appeared to be useful for assessing blood glucose trends in the pregnant diabetic, the results obtained from these meters would be unacceptable in the laboratory setting. Unfortunately, because of the erratic combination of proportional and constant bias, correction factors are not easily ascertained. Laboratories and physicians should reconsider the use of these reflectance meters for inpatient evaluation and general population screening of pregnant women.

UI	MeSH Term	Description	Entries
D011247	Pregnancy	The status during which female mammals carry their developing young (EMBRYOS or FETUSES) in utero before birth, beginning from FERTILIZATION to BIRTH.	Gestation,Pregnancies
D011254	Pregnancy in Diabetics	The state of PREGNANCY in women with DIABETES MELLITUS. This does not include either symptomatic diabetes or GLUCOSE INTOLERANCE induced by pregnancy (DIABETES, GESTATIONAL) which resolves at the end of pregnancy.	Pregnancy in Diabetes,Pregnancy in Diabete,Pregnancy in Diabetic
D012044	Regression Analysis	Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.	Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003922	Diabetes Mellitus, Type 1	A subtype of DIABETES MELLITUS that is characterized by INSULIN deficiency. It is manifested by the sudden onset of severe HYPERGLYCEMIA, rapid progression to DIABETIC KETOACIDOSIS, and DEATH unless treated with insulin. The disease may occur at any age, but is most common in childhood or adolescence.	Diabetes Mellitus, Brittle,Diabetes Mellitus, Insulin-Dependent,Diabetes Mellitus, Juvenile-Onset,Diabetes Mellitus, Ketosis-Prone,Diabetes Mellitus, Sudden-Onset,Diabetes, Autoimmune,IDDM,Autoimmune Diabetes,Diabetes Mellitus, Insulin-Dependent, 1,Diabetes Mellitus, Type I,Insulin-Dependent Diabetes Mellitus 1,Juvenile-Onset Diabetes,Type 1 Diabetes,Type 1 Diabetes Mellitus,Brittle Diabetes Mellitus,Diabetes Mellitus, Insulin Dependent,Diabetes Mellitus, Juvenile Onset,Diabetes Mellitus, Ketosis Prone,Diabetes Mellitus, Sudden Onset,Diabetes, Juvenile-Onset,Diabetes, Type 1,Insulin Dependent Diabetes Mellitus 1,Insulin-Dependent Diabetes Mellitus,Juvenile Onset Diabetes,Juvenile-Onset Diabetes Mellitus,Ketosis-Prone Diabetes Mellitus,Sudden-Onset Diabetes Mellitus
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D015190	Blood Glucose Self-Monitoring	Self evaluation of whole blood glucose levels outside the clinical laboratory. A digital or battery-operated reflectance meter may be used. It has wide application in controlling unstable insulin-dependent diabetes.	Blood Sugar Self-Monitoring,Home Blood Glucose Monitoring,Monitoring, Home Blood Glucose,Self-Monitoring, Blood Glucose,Glucose, Blood, Self Monitoring,Glucose, Blood, Self-Monitoring,Blood Glucose Self Monitoring,Blood Glucose Self-Monitorings,Blood Sugar Self Monitoring,Blood Sugar Self-Monitorings,Glucose Self-Monitoring, Blood,Glucose Self-Monitorings, Blood,Self Monitoring, Blood Glucose,Self-Monitoring, Blood Sugar,Self-Monitorings, Blood Glucose,Self-Monitorings, Blood Sugar,Sugar Self-Monitoring, Blood,Sugar Self-Monitorings, Blood
D015588	Observer Variation	The failure by the observer to measure or identify a phenomenon accurately, which results in an error. Sources for this may be due to the observer's missing an abnormality, or to faulty technique resulting in incorrect test measurement, or to misinterpretation of the data. Two varieties are inter-observer variation (the amount observers vary from one another when reporting on the same material) and intra-observer variation (the amount one observer varies between observations when reporting more than once on the same material).	Bias, Observer,Interobserver Variation,Intraobserver Variation,Observer Bias,Inter-Observer Variability,Inter-Observer Variation,Interobserver Variability,Intra-Observer Variability,Intra-Observer Variation,Intraobserver Variability,Inter Observer Variability,Inter Observer Variation,Inter-Observer Variabilities,Inter-Observer Variations,Interobserver Variabilities,Interobserver Variations,Intra Observer Variability,Intra Observer Variation,Intra-Observer Variabilities,Intra-Observer Variations,Intraobserver Variabilities,Intraobserver Variations,Observer Variations,Variabilities, Inter-Observer,Variabilities, Interobserver,Variabilities, Intra-Observer,Variabilities, Intraobserver,Variability, Inter-Observer,Variability, Interobserver,Variability, Intra-Observer,Variability, Intraobserver,Variation, Inter-Observer,Variation, Interobserver,Variation, Intra-Observer,Variation, Intraobserver,Variation, Observer,Variations, Inter-Observer,Variations, Interobserver,Variations, Intra-Observer,Variations, Intraobserver,Variations, Observer