부산대학교 도서관

In a biochemistry laboratory, there are many determinants responsible for sample rejection, the majority of them falling into pre-analytical error. 1 With advances in Laboratory & Clinical Medicine, clinical diagnosis is largely based upon biochemical investigations. Collecting & analysing data consistently are necessary tasks for assessing quality, monitoring standardized processes, improving performance and patient safety in clinical laboratories. This study was based upon retrospective data analysis of all the biochemistry laboratory samples received and total number of samples rejected in 1 year from two hospitals, JSS Hospital, (JSS) and Kasturba Hospital, Mangalore (KMC), based upon the analysis of different rejection rate, types of unintelligible approach and level of inappropriateness. We have used predefined criteria for sample rejection to assess the level of appropriateness, namely haemolysis, insufficient volume, clotted, wrong vacutainer, mismatch, venous blood & test raised by mistake. Annual sample rejection rate was 0.997% (JSS) and 1.695% (KMC). From JSS clinical biochemistry laboratory, total tests done were 697908 from 162079 vacutainers. From KMC total 1022188 tests were done from 157259 vacutainers. Haemolysis (50%) was the most common reason and mismatch (0.61%) was the least common reason. Among the inpatient departments, medicine had the highest percentage (31%) and paediatrics had the lowest percentage (0.86%). Beside common criteria, other causes like venous sample for arterial blood gas analysis with a rejection rate of 12% was the second most common cause. We need a median rejection rate to compare various rejection rates. Variation in rejection rates is dependent upon different criteria adopted by different laboratories. Clinical diagnosis pertaining to the services rendered by laboratories cannot afford to increase the Turn around Time and compromise on Total Testing Process. Further comparative studies involving multiple laboratories should be done to design a manifesto to detect and correct varied determinants of sample rejection.
P-165 Vivek Anand Ojha (1), Akila Prashant (1), Parveen Doddamani (1), Amit Ranjan (2), Poornima A M (2) (1) Department of Biochemistry, JSS Medical College, JSS Academy of Higher Education [...]