Serum KL-6 and Monocyte Count Evaluation

As biomarkers, serum KL-6 and monocyte count were evaluated in this study. The serum KL-6 concentration was measured using a Nanopia KL-6 assay (SEKISUI MEDICAL, Tokyo) using a latex-enhanced immunoturbidimetric assay method. The monocyte count was calculated using white blood cell differential on CBC. Serum KL-6 ≥ 1000 U/mL is well known to predict poor prognosis in IPF, and, as such, was set as the cut-off value in this study^{15 (link),17 (link),26 (link)}. However, the optimal cut-off value of monocytes has not yet been validated. Therefore, we arbitrarily set monocytes ≥ 600/μL as a cut-off value based on recent studies^{20 (link),21 (link)}. Moreover, to determine whether the interval change in KL-6 level is related to DP, we divided patients into two groups according to the KL-6 level at the 3rd month from the baseline. Patients who had increased KL-6 levels at the 3rd month compared to baseline level were classified as the increased KL-6 group, and other patients were classified as the non-increased KL-6 group.

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Chung C., Kim J., Cho H.S, & Kim H.C. (2022). Baseline serum Krebs von den Lungen-6 as a biomarker for the disease progression in idiopathic pulmonary fibrosis. Scientific Reports, 12, 8564.

Publication 2022

Nanopia KL-6 assay

Assay Biomarkers Immunoturbidimetric assay Latex Monocytes Patients Prognosis Serum White blood cell

Corresponding Organization :

Other organizations : Asan Medical Center, Ulsan College, University of Ulsan

Top 5 similar protocols

Variable analysis

independent variables

Serum KL-6 level
Monocyte count

dependent variables

Prediction of poor prognosis in IPF

control variables

Serum KL-6 concentration measured using a Nanopia KL-6 assay (SEKISUI MEDICAL, Tokyo) using a latex-enhanced immunoturbidimetric assay method
Monocyte count calculated using white blood cell differential on CBC

positive controls

Serum KL-6 ≥ 1000 U/mL as a cut-off value to predict poor prognosis in IPF

negative controls

Monocytes ≥ 600/μL set as a cut-off value based on recent studies

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