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Related Experiment Video

Updated: Feb 5, 2026

Optimization of Radiochemical Reactions using Droplet Arrays
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Optimization of

Tsachi Tsadok Perets1,2, Rachel Gingold-Belfer2,3, Haim Leibovitzh2,3

  • 1Gastroenterology Laboratory, Rabin Medical Center, Petah Tikva, Israel.

Journal of Clinical Laboratory Analysis
|September 18, 2018
PubMed
Summary
This summary is machine-generated.

Optimizing the 13C-urea breath test (13C-UBT) cutoff is crucial for accurate H. pylori detection. This study identified an optimized 13C-UBT threshold of 2.74 DOB, improving positivity rates and highlighting the need for sex-specific cutoffs.

Keywords:
Helicobacter pylori13C-urea breath testclustercutoffthreshold

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Area of Science:

  • Gastroenterology
  • Medical Diagnostics
  • Microbiology

Background:

  • 13C-urea breath test (13C-UBT) positivity thresholds can vary due to multiple factors.
  • Manufacturer-recommended cutoffs may not be universally applicable.
  • Optimizing 13C-UBT cutoffs has significant public health implications.

Purpose of the Study:

  • To determine the optimal threshold for 13C-UBT positivity in a specific patient population.
  • To evaluate the impact of optimizing cutoffs on H. pylori detection rates.

Main Methods:

  • Analysis of 13C-UBT results (delta over baseline, DOB) from 234,831 patients.
  • Utilized cluster analysis to identify the optimal cutoff point with minimal interclass variance.
  • Compared manufacturer-recommended cutoffs with optimized thresholds.

Main Results:

  • Cluster analysis identified an optimized cutoff of 2.74 DOB, compared to the manufacturer's 3.5 DOB.
  • This optimized cutoff reclassified an additional 0.93% of subjects as positive.
  • Sex-specific optimal cutoffs were determined: 2.23 DOB for males and 3.05 DOB for females.

Conclusions:

  • Major laboratories should optimize 13C-UBT positivity thresholds for their specific populations.
  • Implementing distinct cutoff values for male and female subjects is recommended for improved accuracy.