Lack of harmonization of red blood cell distribution width (RDW). Evaluation of four hematological analyzers.

OBJECTIVES: To assess analytical imprecision and comparability of red blood cell distribution width (RDW) on Abbott Sapphire, Mindray BC6800, Siemens Advia 2120 and Sysmex XE-5000. DESIGN AND METHODS: Within-run imprecision was assessed on three pools and comparability using 132 inpatient samples. RESULTS: The imprecision of RDW was comprised between 0.3 and 1.2%, but the values exhibited broad variation among different analyzers, with bias exceeding the desirable quality specifications. CONCLUSIONS: Harmonization of RDW is still an unmet need.

Studies on in vitro hemolysis and utility of corrective formulas for reporting results on hemolyzed specimens.

INTRODUCTION: Spuriously hemolyzed specimens are the most common preanalytical problems in clinical laboratories. Corrective formulas have been proposed to allow the laboratory to release test results on these specimens. This study aimed to assess the influence of spurious hemolysis and reliability of corrective formulas. MATERIALS AND METHODS: Blood collected into lithium heparin vacuum tubes was divided in aliquots and subjected to mechanical injury by aspiration with an insulin syringe equipped with a thin needle (30 gauge). Each aliquot (numbered from "#0" to "#5") was subjected to a growing number of passages through the needle, from 0 to 5 times. After hematological testing, plasma was separated by centrifugation and assayed for lactate dehydrogenase (LD), aspartate aminotransferase (AST), potassium and hemolysis index (HI). RESULTS: Cell-free hemoglobin concentration gradually increased from aliquot #0 (HI: 0) to #5 (HI: 76 +/- 22, cell-free hemoglobin approximately 37.0 g/L). A highly significant inverse correlation was observed between HI and red blood cell count (RBC), hematocrit, mean corpuscular volume (MCV), LD, AST, potassium, whereas the correlation was negative with mean corpuscular hemoglobin (MCH). No correlation was found with hemoglobin, platelet count and glucose. A trend towards decrease was also observed for white blood cells count. The ANCOVA comparison of analyte-specific regression lines from the five subjects studied revealed significant differences for all parameters except potassium. In all circumstances the sy,x of these equations however exceeded the allowable clinical bias. CONCLUSIONS: Mechanical injury of blood, as it might arise from preanalytical problems, occurs dishomogeneously, so that corrective formulas are unreliable and likely misleading.