ASSESSMENT OF PERFORMANCE OF ROUTINECLINICAL BIOCHEMISTRY TESTS BASED ON TOTAL ALLOWABLE ERROR CRITERIA IN A TERTIARY CARE HOSPITAL Zeenath Latheef , Jyothi D N Department of Biochemistry ,St. John’s Medical College and Hospital, Bengaluru Introduction Total allowable error (TEa) is the analytical quality specification that determines the acceptable limits for a test result. Physicians request laboratory tests for approximately 80% of patients presenting to the hospital. Considering this, it is very important to prevent errors by improving the quality of each testing procedure. Total Allowable Error can be used to benchmark test performance. The laboratory results are important to diagnose and manage the disease. To produce reliable results, laboratories are aimed to adopt the best quality assurance program. Besides maintain a good compliance for required standards, errors are not uncommon within the laboratory process system. Aims and Objectives Aim: To assess the performance of routine clinical biochemistry tests based on total allowable error criteria in a tertiary care hospital Total occurrence of TEobs >TEa from Jan21-Dec 21 12 • A retrospective study performed at Clinical Biochemistry Laboratory of St. John’s Medical College Hospital, Bengaluru, India. • A Total of 88 analytes internal quality control data of all the levels that are accepted for analytical runs was obtained from Unity Real Time (URT) software, Bio-Rad Laboratories, Inc. and was analysed retrospectively over a period of 1 year from January 2021- December 2021. • Using these data, for each Quality Control Material (QCM) and each analyte Mean, SD and CV, Peer mean and bias was obtained. Observed total error (TEobs) was calculated using measured CV and measured bias, according to the formula: TE (obs) = 1.65×CV + Bias%. • An independent t test was performed to compare the analytes which were done common in both instruments(Abbott Architect ci8200 Ⅰ and Abbott Architect ci8200 Ⅱ) If TEobs is higher than TEa, then the quality requirement is not met, and thus corrective actions is suggested. STATISTICAL ANALYSIS: done using SPSS.20 Descriptive statistical analysis Independent sample t test Significance is assessed at 5 % level of significance. Results Independent sample t test In about 20 analytes which were commonly done in both instruments, difference in TEobs was significant in parameters such as Glucose, creatinine(level-2), LDL, Total protein(level-2), albumin(level-1), AST, ALT, GGT, Sodium, Potassium and TSH. There were no significant differences in Total error observed in other analytes 8 6 4 2 0 Creatinine Cholesterol, HDL LDH Ethanol T3, Total T4, Total Ferritin T3, Free T4, Free Homocysteine Cholesterol, HDL(A2) ALT LH Prolactin PTH Phenobarbital Phenytoin Carbamazepine Ceruloplasmin Metanephrines Serum Lithium HbA1c pco2 po2 ionized Calcium Osmolality-urine Serum Osmolality Methods 10 No of Months Objectives: 1.To determine the observed Total error of routine clinical biochemistry analytes in the laboratory 2.To compare the observed total error with the total allowable error for analytes as established by standard guidelines. 3.To validate quality of analytical phase by evaluating the total allowable error of biochemistry analytes for our laboratory method and instruments at a hospital laboratory. Conclusion From the study it is evident that TEobs was acceptable for most of the analytes in our laboratory. Also, the analytical performance was acceptable. 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