NCT05437445

Utilizing Augmented Artificial Intelligence for Aminoacidopathies

Utilizing Augmented Artificial Intelligence for Aminoacidopathies: Experience of Collaborative Laboratory Integrated Reporting From Pakistan

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 2,081 (actual)
• Sponsor: Aga Khan University Hospital, Pakistan · Academic / Other
• Sex: All
• Age: 1 Year – 16 Years
• Healthy volunteers: —

Summary

The objective of the study was to interpret metabolic profiles of plasma amino acid (PAA) and compare reference intervals (RI) of PAA data from Pakistan with data from other countries using Clinical Laboratory Integrated Reports (CLIR). One-year data (reference and cases data) of twenty-two PAA, analyzed by ion exchange high performance chromatography at Biochemical Genetics Laboratory (BGL) of Aga Khan University Pakistan, was compiled in a comma-separated values (.csv) file and uploaded on CLIR Software using AAQP (Amino Acid in Plasma) application for statistical analysis. Among total of 2081 PAA profiles, 92% (n=1913) were completely normal with all PAA values falling within the age-specific reference range. A concordance of 98.8% was noted between the reporting done by the BGL at AKU and then after applying CLIR tools.

Conditions

• Inborn Errors of Metabolism

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Plasma amino acid assay	Plasma amino acid analysis was performed on all the blood samples received in biogenetics lab at Aga khan university, Karachi during one year period.

Timeline

• Start date: 2019-08-01
• Primary completion: 2020-08-30
• Completion: 2020-08-30
• First posted: 2022-06-29
• Last updated: 2022-07-05

Locations

1 site across 1 country: Pakistan