Influence of haemolysis on blood biochemistry profiles in cattle

Larrán, Belén; López-Alonso, Marta; Miranda, Marta; Graña, Almudena; Rigueira, Lucas; Orjales, Inmaculada

doi:10.1016/j.rvsc.2024.105203

Cited by 1 publication

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The bias values obtained correspond to previous results in cattle and other animal species [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 ]. In addition to the above, numerous studies have established a linear correlation between the level of hemolysis/hemolysis indices and the concentration of the parameters studied [ 41 , 42 ].…”

Section: Discussionsupporting

confidence: 88%

“…Hemolysis led to a decrease in the values of GLU, TBIL, GGT, ALP, and hormones (INS, T3, T4, and CORT), while the other parameters examined showed an increase with increasing intensity of hemolysis. Similar results have been observed in a variety of studies, with some discrepancies possibly attributable to the specifics of the equipment and procedures used as well as the non-standardized presentation of the hemolysis level [ 26 , 27 , 28 , 29 ].…”

Section: Discussionsupporting

confidence: 84%

“…The same source found INS to be much more sensitive to hemolysis than other hormones, which is consistent with our results. When samples with visible hemolysis (cell-free Hb > 2 g/L) are encountered in daily work, it is important to handle them rationally because we can provide results for a wide range of parameters even under such circumstances [ 29 ]. In such situations, corrected linear formulas can be provided with a comment on the results to adjust the value obtained, presuming hemolysis has not resulted in a clinically significant bias.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Analytical and Clinical Interference of Sample Hemolysis in Evaluating Blood Biochemical and Endocrine Parameters in Cows

Kovačević,

Cincović,

Majkić

et al. 2024

Animals

View full text Add to dashboard Cite

Hemolysis is a common cause of errors in laboratory tests as it affects blood parameters and leads to a positive or negative bias. This study aims to examine the relationship between the level of hemolysis (expressed as cell-free hemoglobin concentration, g/L) and the variability of metabolic and endocrine parameters and to determine the threshold level of hemolysis that causes an analytically and clinically significant bias for the twenty most frequently examined blood parameters in cows. Paired blood samples of 10 mL each were obtained from 30 cows. One was subjected to mechanical trauma and plasma was extracted directly from the other. Hemolyzed and non-hemolyzed samples from the same animal were mixed to obtain final samples with cell-free hemoglobin concentrations of 0, 1, 2, 4, 6, 8, and 10 g/L. Metabolic and endocrine parameters were measured in the samples and their deviation and the linear equation between the level of hemolysis and the deviation were determined. The following threshold values of hemolysis were determined, which correspond to the acceptable analytical (lower value) and clinical (upper value) levels of parameter variability: BHB 0.96 and 4.81; NEFA 0.39 and 3.31; GLU 0.38 and 3.90; ALB 1.12 and 6.11; TPROT 1.40 and 6.80; UREA 6.62 and 20.1; TBIL 0.75 and 5.65; AST 0.11 and 2.18; GGT 1.71 and 8.90, LDH 0.01 and 0.11, ALP 0.97 and 2.95; TGC 1.56 and 15.5; CHOL 1.29 and 8.56; Ca 5.68 and 25.7; P 0.57 and 8.43; Mg 1.10 and 8.47; INS 1.15 and 3.89; T3 8.19 and 15.6; T4 8.97 and 18.5; and CORT 2.78 and 11.22 g/L cell-free hemoglobin. Three decision levels are available for each metabolic and endocrine parameter: if hemolysis is below the lower (analytical) threshold value, results can be reported without restriction; if hemolysis is between the lower and upper thresholds, the results can be issued with guidance in the form of corrective linear equations; and if hemolysis is above the upper (clinical) threshold, the results and sample must be discarded. This method contributes to an optimal approach to hemolysis interference with metabolic profile parameters in blood samples from cows.

show abstract