Comparison of Salivary and Serum Enzyme Immunoassays for the Diagnosis of Helicobacter pylori InfectionReportar como inadecuado

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Canadian Journal of Infectious Diseases - Volume 9 1998, Issue 5, Pages 277-280

Original Article

Department of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada

Cadham Provincial Laboratory, Winnipeg, Manitoba, Canada

Department of Pathology, University of Manitoba, Winnipeg, Manitoba, Canada

Received 13 May 1997; Accepted 7 October 1997

Copyright © 1998 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Infection with Helicobacter pylori has been established as an important risk factor for the development of peptic ulcer disease, gastritis and gastric cancer. The diagnosis of H pylori infection can be established by invasive or noninvasive techniques. Two noninvasive enzyme immunoassays EIAs for antibody detection – HeliSal and Pylori Stat – were compared with histology. Both assays detect immunoglobulin Ig G directed against purified H pylori antigen. The test populations consisted of 104 consecutive patients scheduled for upper gastrointestinal endoscopy. Of these patients, 97 93% had symptoms compatible with peptic ulcer disease. Saliva and serum were collected simultaneously at the time of endoscopy. Salivary EIA had a sensitivity of 66%, specificity of 67%, positive predictive value of 67% and negative predictive value of 66% compared with the serum EIA, where the results were 98%, 48%, 64% and 96%, respectively. Although the salivary EIA is an appealing noninvasive test, it was not a sensitive and specific assay. The serum EIA also lacked specificity, but was highly sensitive with a good negative predictive value. Although a negative serum EIA rules out H pylori infection, a positive result must be interpreted in the clinical context and confirmed with a more specific measure.

Autor: John M Embil, Shurjeel H Choudhri, Gerry Smart, Thomas Aldor, Norman M Pettigrew, Gordon R Grahame, Magdy R Dawood, and Charles N



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