Evidence map›Paper›PMID 40589010›Full record

ArticleDiagnosis (Berlin, Germany)2026

The use of the hemolysis index as an indirect indicator of whole blood sample quality.

Stefano Pastori, Vincenzo Roccaforte, Rossella Panella, Erika Jani, Alberto Ponzoni, Marta Spreafico, Giuseppe Lippi, Ruggero Buonocore, Massimo Daves

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Article in Diagnosis (Berlin, Germany), 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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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Stefano Pastori159114 S.C. Analisi Chimico Cliniche e Microbiologiche, ASST Nord Milano , Cinisello Balsamo, Italy.
Vincenzo Roccaforte159114 S.C. Analisi Chimico Cliniche e Microbiologiche, ASST Nord Milano , Cinisello Balsamo, Italy.ORCID https://orcid.org/0000-0002-7113-4263
Rossella Panella159114 S.C. Analisi Chimico Cliniche e Microbiologiche, ASST Nord Milano , Cinisello Balsamo, Italy.
Erika JaniLaboratory of Clinical Biochemistry (SABES-ASDAA), Hospital of Bolzano, Bolzano, Italy.
Alberto Ponzoni159114 S.C. Analisi Chimico Cliniche e Microbiologiche, ASST Nord Milano , Cinisello Balsamo, Italy.
Marta SpreaficoDepartment of Transfusion Medicine and Hematology, ASST-Lecco, Lecco, Italy.
Giuseppe LippiSection of Clinical Biochemistry, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0001-9523-9054
Ruggero BuonocoreDepartment of Laboratory Medicine, U.O. Biochimica, Guglielmo da Saliceto Hospital of Piacenza, Piacenza, Italy.
Massimo DavesLaboratory of Clinical Biochemistry (SABES-ASDAA), Hospital of Bolzano, Bolzano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study is to assess the discrepancies between potassium values obtained from point-of-care testing and laboratory analyzers, and to propose a straightforward method to indirectly assess the likelihood of hemolysis in whole blood samples.

methodsThe data were collected from 409 hospitalized patients (199 males, 210 females; median age 78 years, interquartile range 55-87) in whom were simultaneously requested the blood gas profile, including electrolytes (Na, K, Cl and Ca

resultsThe Wilcoxon test showed a significant difference (p<0.0001) for K measurements, with a number of positive differences between Cobas and GEM Premier 5,000 of 110 and negative differences of 293. The median value of the hemolysis index was 7 (95 % CI for the median 6 to 8). The differences between the two K measurements obtained from plasma and whole blood samples showed a lowest and highest differences of -1.7 and 4.6 mmol/L. The median difference was 0.63 (95 % CI for the median: 0.54-0.73) and the interquartile range (IQR) was 0.48-0.9. Overall, 89 samples (21 %) displayed a difference larger than the relative change value.

conclusionsThe presence of hemolysis in plasma samples should alert laboratory professionals to carefully evaluate the corresponding whole blood results. Concordant values indicate the presence of hemolysis in the whole blood sample, while discordant values suggest that hemolysis only affects one of the two samples.

Indexed as

HemolysisPotassiumAgedAged, 80 and overBlood Gas AnalysisFemaleHumansMaleMiddle AgedPoint-of-Care TestingPotassiumblood gas analyzerhemolysis indexPOCTpotassiumpre-analytical errors

Identifiers

PMID40589010

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.