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High-throughput Fluorometric Measurement of Potential Soil Extracellular Enzyme Activities
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[Not Available].

W H Schilling1, K Oberdisse, K A Hüter

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|November 1, 2013
PubMed
Summary
This summary is machine-generated.

The intravenous glucose tolerance test (i.v. GTT) is more sensitive than the oral glucose tolerance test (o.GTT) for detecting reduced carbohydrate tolerance, especially in older individuals and those with obesity or a family history of diabetes.

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Area of Science:

  • Endocrinology
  • Metabolic Disorders
  • Clinical Diagnostics

Context:

  • Assessing carbohydrate metabolism is crucial for diagnosing pre-diabetic and diabetic conditions.
  • Glucose tolerance testing, both oral and intravenous, are established methods for evaluating metabolic function.
  • Factors like age, obesity, and family history can influence glucose metabolism and test results.

Purpose:

  • To compare the diagnostic efficacy of oral glucose tolerance tests (o.GTT) and intravenous glucose tolerance tests (i.v. GTT) in a diverse patient population.
  • To investigate the influence of age, obesity, and family history of diabetes on glucose tolerance test outcomes.
  • To determine which glucose tolerance testing method is more sensitive in identifying impaired carbohydrate metabolism.

Summary:

  • A study involving 492 patients compared o.GTT and i.v. GTT, analyzing results based on age, weight, and family history of diabetes.
  • While age alone did not significantly alter test results in healthy individuals, i.v. GTT revealed significant differences in patients with obesity, a family history of diabetes, or pregnancy complications, particularly when these factors were combined or present in older individuals.
  • The i.v. GTT demonstrated higher sensitivity in detecting reduced glucose tolerance compared to the o.GTT, especially in individuals with multiple risk factors.

Impact:

  • The findings suggest that i.v. GTT may be a more reliable diagnostic tool for impaired glucose tolerance than o.GTT in specific patient groups.
  • This research aids in refining diagnostic strategies for metabolic disorders, potentially leading to earlier detection and intervention.
  • Understanding the differential sensitivity of these tests can optimize clinical decision-making for patients at risk of diabetes.