ArticleBiochemia medica2026
Moving percentage of failed delta checks: a novel patient-based quality control model.
Article in Biochemia medica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: For measurands with a low index of individuality (II), delta check is crucial. If delta percentage change (DPC) values in different patients consecutively exceed the reference change value (RCV), it may indicate an analytical problem. Similarly to moving sum (MovSuM), percentage of DPCs exceeding RCV can be used as a quality control model by comparing it with a certain threshold. This study aimed to develop a novel patient-based quality control (PBQC) model using delta checks and evaluate its performance. Materials and methods: The study was performed at Gazi University Biochemistry Laboratory. The model was tested on creatinine (measured on Advia Chemistry Systems using the alkaline picrate method), with pooled-CV Results: After applying positive and negative errors of 15%, median number of patients affected before error detection (MNPed) was 34 and 29, respectively. Median time until error detection was 18 minutes. Sensitivity and specificity were 96% and 86%, respectively. Conclusions: Moving percentage of failed delta checks, a novel RCV-based PBQC model, has high sensitivity and rapid error detection, suitable for measurands with low II.
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