Clinical Chemistry and Laboratory Medicine

Influence of remnant cholesterol on direct LDL and HDL cholesterol measurement accuracySoon Sung Kwonon September 19, 2025 at 10:00 am

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Clin Chem Lab Med. 2025 Sep 22. doi: 10.1515/cclm-2025-0593. Online ahead of print. ABSTRACT OBJECTIVES: Identifying the potential sources of bias in the direct measurement of low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) is important. In this study, we aimed to investigate the effect of remnant cholesterol on LDL-C and HDL-C levels measured … Read more

Comparative analysis of monocyte distribution width alterations in Escherichia coli sepsis: insights from in vivo and ex vivo modelsDaniela Ligion September 18, 2025 at 10:00 am

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Clin Chem Lab Med. 2025 Sep 18. doi: 10.1515/cclm-2025-0487. Online ahead of print. ABSTRACT OBJECTIVES: Monocyte distribution width (MDW) is an early sepsis indicator measuring monocyte heterogeneity during massive infection. We compared MDW changes in Escherichia coli sepsis patients with the effects of living E. coli and lipopolysaccharide in an ex vivo sepsis model. We … Read more

CA-125 glycovariant assays enhance diagnostic sensitivity in the detection of epithelial ovarian cancerStefanos Moukason September 18, 2025 at 10:00 am

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Clin Chem Lab Med. 2025 Sep 18. doi: 10.1515/cclm-2025-0561. Online ahead of print. ABSTRACT OBJECTIVES: Ovarian cancer is the deadliest gynaecologic malignancy. Due to the lack of reliable biomarkers for the detection of the early disease, most patients are diagnosed at an advanced stage resulting in poor survival. We therefore aimed at establishing novel CA-125 … Read more

EFLM checklist for the assessment of AI/ML studies in laboratory medicine: enhancing general medical AI frameworks for laboratory-specific applicationsAnna Carobeneon September 18, 2025 at 10:00 am

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Clin Chem Lab Med. 2025 Sep 15. doi: 10.1515/cclm-2025-0841. Online ahead of print. ABSTRACT The integration of artificial intelligence (AI) and machine learning (ML) into laboratory medicine shows promise for advancing diagnostic, prognostic, and decision-support tools; however, routine clinical implementation remains limited and heterogeneous. Laboratory data presents unique methodological and semantic complexities – method dependency, … Read more

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