Performance evaluation of presepsin using a Sysmex HISCL-5000 analyzer and determination of reference interval

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Abstract

Background: Analytical evaluation of newly developed presepsin by a Sysmex HISCL-5000 (Sysmex, Japan) automated immune analyzer was performed. Methods: For evaluation, sepsis patient samples were collected before treatment in an emergency department. Precision, linearity, limit of blank/limit of detection, method comparisons, and reference intervals were evaluated. Method comparisons were performed using a PATHFAST immune analyzer (LSI Medience Corporation, Japan). Results: Precision using a 20x2x2 protocol for low (306 pg/mL) and high (1031 pg/mL) levels resulted in within-laboratory standard deviation (95% confidence interval [CI]) and coefficient of variation (CV) %, which were as follows: 15.3 (13.1–18.7), 5.5% and 47.7, (40.5–58.1), 6.4%, respectively. Linearity using patient samples and calibrators were measured from 201 to 16,177 and 188 to 30,000 pg/mL, respectively. The regression equation was y = −23.2 + 1.008x (SE = 162.4) for low levels and y = 779.9 + 1.006x (SE = 668) for high levels. Method comparison by Passing–Bablock analysis was as follows: y = −209.77 + 1.047x (Syx = 335.3). The correlation coefficient (95% CI) was 0.869 (0.772–0.927) with statistical significance (p < 0.001). Reference intervals from 120 normal healthy subjects showed that 300 pg/mL was the cut off. Presepsin tended to show a higher value at higher ages and in males. Presepsin showed correlation with some parameters, and the correlation coefficient (p value) were as follows: hematocrit, 0.198 (0.03); eGFR (CKD-EPI), −0.240 (0.0129); MDRD-eGFR, −0.194 (0.048), respectively. Conclusion: Presepsin measurement by HISCL-5000 showed reliable performance. Further clinical studies are required for the diagnosis and prognosis of sepsis.

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Kang, T., Yoo, J., Choi, H., Lee, S., Jekarl, D. W., & Kim, Y. (2022). Performance evaluation of presepsin using a Sysmex HISCL-5000 analyzer and determination of reference interval. Journal of Clinical Laboratory Analysis, 36(9). https://doi.org/10.1002/jcla.24618

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