Literature DB >> 25780011

Validation of hemolysis index thresholds optimizes detection of clinically significant hemolysis.

Tanu Goyal1, Christine L Schmotzer2.   

Abstract

OBJECTIVES: Automated hemolysis index (HI) measurement has standardized the identification and gradation of sample hemolysis.
METHODS: This study evaluates whether clinically significant changes in the concentration of intracellular analytes occur at manufacturer-recommended automated HI thresholds (HI ≥3, >25 mg/dL hemoglobin).
RESULTS: Adult outpatient results for serum potassium (K+), magnesium (Mg), lactate dehydrogenase (LDH), and aspartate aminotransferase (AST) were analyzed. Mean ± SD analyte concentration and distribution within the reference interval (RI) were calculated for each HI group (1-7). Potassium results with an HI of 4 or more demonstrated clinically significant differences (≥0.5 mmol/L) in mean K+ concentration and RI classification compared with non-hemolyzed samples (HI = 1). LDH and AST showed clinically significant differences (+20%) for an HI of 3 or more. For Mg, only the group with an HI of 7 demonstrated a clinically significant difference (>25%); however, the number was low.
CONCLUSIONS: Mean measured potassium concentrations are not clinically significantly affected by hemolysis at the manufacturer-recommended HI threshold, while AST and LDH are. Aligning reporting of sample hemolysis with clinically significant changes provides clinically meaningful alerts regarding this common pre-analytic error. Copyright© by the American Society for Clinical Pathology.

Entities:  

Keywords:  Automated chemistry; Hemolysis; Preanalytic error; Specimen integrity

Mesh:

Substances:

Year:  2015        PMID: 25780011     DOI: 10.1309/AJCPDUDE1HRA0YMR

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  8 in total

1.  Spectral Analysis Methods Based on Background Subtraction and Curvature Calculation Used in the Detection or Quantification of Hemolysis and Icterus in Blood-derived Clinical Samples.

Authors:  Toan Huynh; Michael J Lai; Yang L Liu; Linda Ly; Xinwei Gong; Kathryn R Rommel; Daniel L Young
Journal:  Cureus       Date:  2017-12-19

2.  The Impact of Hemolysis-Index Thresholds on Plasma and Serum Potassium Measurements.

Authors:  Tiffany Yin; Adrianna Z Herskovits
Journal:  J Appl Lab Med       Date:  2022-05-04

Review 3.  Hemolyzed Specimens: Major Challenge for Identifying and Rejecting Specimens in Clinical Laboratories.

Authors:  Wan Norlina Wan Azman; Julia Omar; Tan Say Koon; Tuan Salwani Tuan Ismail
Journal:  Oman Med J       Date:  2019-03

4.  Determination of hemolysis index thresholds for biochemical tests on Siemens Advia 2400 chemistry analyzer.

Authors:  Zhenhua Du; JiQin Liu; Hua Zhang; BuHe Bao; RuiQi Zhao; Ying Jin
Journal:  J Clin Lab Anal       Date:  2019-02-19       Impact factor: 2.352

5.  Impact of Individualized Hemolysis Management Based on Biological Variation Cut-offs in a Clinical Laboratory.

Authors:  Fernando Marques-Garcia; David Hansoe Heredero Jung; Sandra Elena Pérez
Journal:  Ann Lab Med       Date:  2022-03-01       Impact factor: 3.464

6.  Severe Hyperkalemia Immediately After Birth.

Authors:  Alja Kavčič; Simona Avčin; Štefan Grosek
Journal:  Am J Case Rep       Date:  2019-10-06

7.  Sparsomycin Exhibits Potent Antiplasmodial Activity In Vitro and In Vivo.

Authors:  Nanang Rudianto Ariefta; Baldorj Pagmadulam; Coh-Ichi Nihei; Yoshifumi Nishikawa
Journal:  Pharmaceutics       Date:  2022-02-28       Impact factor: 6.321

8.  The automated processing algorithm to correct the test result of serum neuron-specific enolase affected by specimen hemolysis.

Authors:  Xiao-Min Liu; Xiao-Hua Liu; Min-Jie Mao; Yi-Jun Liu; Jun-Ye Wang; Shu-Qin Dai
Journal:  J Clin Lab Anal       Date:  2021-07-07       Impact factor: 2.352

  8 in total

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