Although none of us would even argue that laboratory tests are pivotal in healthcare, now being an integral part of clinical reasoning and managed care , their real contribution to the clinical decision-making is contingent on safeguarding a high degree of quality throughout the testing process, from collecting samples to test result interpretation . Unlike widespread public perception , reliable evidence has accumulated over the past decades supporting the notion that the preanalytical phase is the most vulnerable part of in vitro diagnostics, whereby collection of unsuitable specimens – for either quantity or quality – would ultimately represent a substantial threat for data reliability .
When artifactual (i.e. spurious), sample hemolysis is certainly the most frequent source of delayed, missed or even wrong diagnoses. The mean frequency of hemolyzed samples received in clinical laboratories can be as high as 3%, accounting to or over 60–70% of unsuitable specimens. Such a paramount incidence, which has not apparently declined in recent times, engages the minds of laboratory professionals, clinicians and nurses, who still struggle for identifying reliable strategies for accurately identifying and appropriately managing spurious sample hemolysis . It is with this important drawback in mind that we have decided to assemble a series of interesting contributions on spurious hemolysis in this issue of Clinical Chemistry and Laboratory Medicine.
In the first of such articles, Salvagno et al. have explored the potential impact of hemolysis, hypertriglyceridemia and hyperbilirubinemia on thrombin generation in plasma . The authors demonstrate that hemolysis, either spurious or intravascular, generates a profound impact on blood coagulation, whereby the overall thrombin generation, expressed as endogenous thrombin potential (ETP), constantly increased in parallel with the degree of erythrocyte injury. A potentially clinically significant variation was already noted at cell-free hemoglobin concentrations exceeding 0.7 g/L, a value marginally higher than the conventional hemolysis threshold. These results have important clinical and analytical corollaries, confirming that in vivo hemolysis is a trigger of blood coagulation, thus not only enlightening the increased thrombotic burden in patients with hemolytic anemia, but also underlining that thrombin generation shall not be assayed in hemolyzed plasma samples, even when the hemolysis degree seems mild.
The second article, based on the experience of the Nordic cooperation of External Quality Assurance organizers (EQAnord) and involving over 140 Nordic medical biochemistry laboratories , provides updated information on the impact of hemolysis on clinical chemistry test results generated with different instrumentation and on how test results obtained on hemolyzed samples will then be reported. The most interesting aspects that emerged from this broad survey are that (a) although manufacturers’ hemolysis thresholds varied substantially, satisfactory agreement was observed in the mean hemoglobin value measured by different analytical platforms, that (b) the impact of hemolysis on test results of 15 different analytes, except alkaline phosphatase, total bilirubin and creatine kinase (CK), was overall comparable across various analyzers, and especially that (c) facilities using identical assays undertake rather different actions on equally hemolyzed specimens. This last information reiterates the concept that, although official recommendations for managing hemolyzed samples have been published by the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) , by the Clinical and Laboratory Standards Institute (CLSI)  and even by some national societies of laboratory medicine , , the lack of harmonization for managing hemolyzed samples remains a controversial and majorly unresolved issue across clinical laboratories worldwide , , .
The third and fourth articles in this series are logical sequels of this survey. In their original report, Lindhardt Sæderup et al. have explored the feasibility of using Staphylococcus aureus to develop an innovative approach based on hemoglobin binding capacity of iron-regulated surface determinant H (IsdH) protein bound to C Sepharose, for rapidly removing hemoglobin and hemoglobin-haptoglobin complexes from hemolyzed plasma, thus mitigating hemolysis interference and making hemolyzed samples potentially suitable for laboratory testing . Although this is indeed an intriguing and promising strategy for eliminating spectrophotometric interference from cell-free hemoglobin, and thus allowing performance of tests which may only be biased by this cause, we would all agree that hemoglobin removal is not effective to eliminate other sources of hemolysis-dependent bias. This especially refers to the well-known biological effects of hemolysis, which ultimately lead to enhancement of the plasma or serum concentration of intracellular components released after cell breakdown (e.g. potassium, lactate dehydrogenase), to produce a dilution effect for all other analytes, as well as to generate chemical interference for some tests (e.g. the inhibitory effect of adenylate kinase on CK). Therefore, this interesting method would first need to be externally validated and then only used for measuring those parameters for which the bias is limitedly and theoretically spectrophotometric. A different approach for reporting data on hemolyzed samples has then been proposed by Martínez-Morillo and Álvarez . The use of corrective formulas for adjusting results of potassium (and potentially of other analytes) in hemolyzed samples is a largely debated issue , , . In their original study, the authors have provided additional evidence on the reliability of this approach, showing that inclusion of informative commentaries encompassing corrected potassium results in the laboratory report is highly unadvisable when the hemolysis index is high (e.g. cell-free hemoglobin >5 g/L), as this would then lead to a substantial risk of misinterpretation. Even below such limit, however, the percentage of potential incorrect interpretation is dramatically high, comprised between 18 and 28%. This would actually mean that nearly one fourth of all potassium hemolysis-corrected data would then lead to potentially inappropriate patient management. Can we afford such risk? We will leave the final wisdom to our readers.
In conclusion, we are thankful to the authors who have provided these interesting contributions and we sincerely hope that our readers will appreciate this collection of articles on sample hemolysis.
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: None declared.
Employment or leadership: None declared.
Honorarium: None declared.
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