Efficiency of Galanti and Guisti Method of ADA Estimation in Comparison with the Gold Standard

Manasa Reddy Dubba, V. Ramyashree, S. S. Harshitha, Monalisa Biswas, Revathi P. Shenoy, Varashree Bolar Suryakanth

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Adenosine Deaminase, the key enzyme of purine metabolism catalyzing the irreversible hydrolytic deamination of adenosine to inosine is implicated in a varied spectrum of human diseases ranging from SCID to TB and pneumonia. Estimation of ADA offers an easy, relatively affordable and reliable diagnostic alternative and/ or adjunct (specially in a TB endemic nation) which emphasizes the necessity of a feasible and implementable alternative method to the Diazyme method of ADA estimation requiring high end autoanalyzer and infrastructural setup. Methods: Sixty body fluids samples (irrespective of gender, age, diagnosis or sample type) received by the Clinical Biochemistry Laboratory, Kasturba Medical College, Manipal for fluid ADA estimation by the Diazyme assay method (cobas 6000) was simultaneously processed by the Galanti and Guisti manual method to estimate the comparability and the aggregability of results obtained by the two analytical techniques. Results: The Galanti and Guisti manual method of ADA estimation showed aggregability with the Diazyme autoanalyzer method for 90% of the assayed study samples with the manual method uniformly showing higher values when compared to the analyzer method. A correction factor of 2.44 was arrived at which could effectively achieve comparability between the two assay methods. Conclusion: The Galanti and Guisti manual method of ADA estimation might be a feasible, rapid, reliable and cost-effective method for estimation of fluid ADA when compared to the cost and infrastructure intensive autoanalyzer.

Original languageEnglish
Pages (from-to)897-902
Number of pages6
JournalEthiopian journal of health sciences
Volume30
Issue number6
DOIs
Publication statusPublished - 01-11-2020

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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