Physiological amino acid data management: quantitation, assessment, reporting and storage.

Area of Science:

• Biochemistry
• Medical Informatics
• Clinical Diagnostics

Background:

• Inherited metabolic disorders require precise physiological amino acid analysis for diagnosis and management.
• Current data handling processes can be complex and time-consuming.

Purpose of the Study:

• To develop and present a suite of BASIC routines for efficient analysis, reporting, and storage of physiological amino acid data.
• To enhance the diagnostic and management capabilities for inherited metabolic disorders through improved data processing.

Main Methods:

• Development of BASIC programming routines for physiological amino acid data analysis.
• Implementation of features for data editing, patient/sample information merging, and abnormal result flagging.
• Generation of hard copy reports and creation of database-compatible files.

Main Results:

• A series of routines capable of analyzing concentrations of 44 compounds in plasma, urine, and cerebral spinal fluid.
• Facilitation of data management, including editing, merging patient information, flagging abnormalities, and adding interpretive comments.
• Creation of structured data files suitable for further manipulation with database programs.

Conclusions:

• The developed BASIC routines provide a robust system for managing physiological amino acid data in clinical settings.
• These tools significantly aid in the diagnosis and management of inherited metabolic disorders by improving data analysis and reporting efficiency.
• The system supports comprehensive record-keeping and facilitates advanced data analysis through database integration.