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J Clin Lab Anal. 2016 Mar;30(2):155-60. doi: 10.1002/jcla.21829. Epub 2014 Dec 26.

Diagnostic Algorithm for the Diagnosis of Pediatric Parasitic Gastroenteritis.

Author information

1
Department of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas.
2
Department of Pathology, The University of Utah, Salt Lake City, Utah.
3
ARUP Laboratories, Salt Lake City, Utah.
4
Department of Pathology, Virginia Commonwealth University Medical Center, Richmond, Virginia.

Abstract

BACKGROUND:

Current practices for ordering stool studies in patients with abdominal and gastrointestinal symptoms are not standardized. We hypothesized that an algorithm involving first-line use of a Cryptosporidium/Giardia combination antigen test and stricter use of ova and parasite (O&P) examinations would be clinically and cost effective.

METHODS:

In this study, stool O&P test results for pediatric patients in Dallas, Texas, were reviewed. All results obtained between 2009 and 2012 were included. Patient charts were reviewed to determine test results, symptoms, treatment, travel, and past medical history. Using these data, a retrospective modeling study was done to evaluate the utility of a diagnostic algorithm that limits O&P testing to those patients who are immunocompromised or have travelled outside the United States.

RESULTS:

Over the 3-year period of this study, we found that the prevalence of gastrointestinal parasitic disease in children was 1.9%. Analysis of the diagnostic algorithm for the judicious use of stool O&P showed that as much as 65% of testing may be unnecessary and could be eliminated.

CONCLUSIONS:

Our findings show that the prevalence of pediatric gastrointestinal parasitic disease in Texas may be lower than expected. In addition, these data show that a diagnostic algorithm limiting O&P testing may be both clinically and cost effective in low-prevalence settings. However, such an algorithm would miss a significant number of infections due to Dientamoeba fragilis and Blastocystis hominis.

KEYWORDS:

Giardia; ova and parasite; parasites

PMID:
25545819
DOI:
10.1002/jcla.21829
[Indexed for MEDLINE]

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