4.5 Article

Determination of the erythrocyte sedimentation rate using the hematocrit-corrected aggregation index and mean corpuscular volume

Journal

JOURNAL OF CLINICAL LABORATORY ANALYSIS
Volume 37, Issue 6, Pages -

Publisher

WILEY
DOI: 10.1002/jcla.24877

Keywords

erythrocyte aggregation; erythrocyte sedimentation rate; hematocrit correction; mean corpuscular volume; syllectometry

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The determination of erythrocyte sedimentation rate (ESR) using erythrocyte aggregation measurement is an alternative to the Westergren method and can be performed quickly. However, the principle of this method is not clear, and the ESR values obtained may differ from those obtained using the Westergren method due to hematocrit. Additionally, particle size affects the Westergren ESR, but the effect of individual mean corpuscular volumes (MCVs) has not been studied.
BackgroundDetermination of the erythrocyte sedimentation rate (ESR) by measurement of erythrocyte aggregation is an alternative to the Westergren method and can be performed rapidly. However, its principle is opaque and the ESR values obtained can deviate from Westergren method values (WG ESR) due to hematocrit. Furthermore, WG ESR is affected by particle size, but no studies have examined the effect of individual mean corpuscular volumes (MCVs). MethodsSimultaneous measurement of the erythrocyte aggregation index (AI) over a 5-s interval and determination of the complete blood count in 80 mu L blood from 203 patients were performed (hematocrit, 21.4%-52.3%; MCV, 62.7-114.1 fL). ESR values were calculated with the hematocrit-corrected AI (HAI) for comparison with WG ESR. We improved the calculation formula by using MCV. ResultsThe sedimentation velocity of a single erythrocyte in the samples agreed well with an exponential function of HAI. ESR values calculated using HAI showed excellent correlation with WG ESR (r = 0.899, p < 0.001; Bland-Altman analysis: bias 2.76, limits of agreement (LOA) -24.5 to 30.0), but the difference between the calculated ESR and WG ESR increased with decreasing MCV. Calculation of ESR considering both HAI and MCV eliminated the MCV-dependent deviation and improved the correlation with WG ESR (r = 0.920, p < 0.001, bias -2.17, LOA -24.6 to 20.3). ConclusionCalculation using HAI and MCV can rapidly provide ESR values that are highly correlated with WG ESR in clinical specimens over a wide range of hematocrit and MCV values.

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