Evaluating Cobas <sup>®</sup> b101 for lipid profile and SCORE2 risk assessment from capillary blood in population screening

Abstract Objectives Cardiovascular disease (CVD) is a leading cause of mortality worldwide. Emerging lung cancer screening in smokers may offer an opportunity for simultaneous cardiovascular risk evaluation. We developed a mobile CT screening unit and assessed the feasibility of integrating dyslipidemia screening and non-HDL cholesterol-based SCORE2 estimation using the Cobas ® b101 point-of-care testing (POCT) analyzer on capillary blood samples. Methods Following a preliminary evaluation of two POCT analyzers, the Cobas ® b101 was selected for capillary lipid profiling. Lipid results obtained from capillary samples analyzed in the mobile unit were compared with venous samples analyzed in the central laboratory in 84 screened participants. Results For total cholesterol and HDL-C, the Passing–Bablok regression were strong, with clinically acceptable differences of −0.81 % and +5.23 %, respectively. Triglycerides showed a clinically unacceptable difference of +29.4 %, but strong agreement with clinical categories was observed (kappa 95 % CI [0.55; 0.82]); this may reflect both matrix effects and the non-fasting status of almost all participants (∼91 % were non-fasting). Calculated LDL-C misclassification rates were 47 %, 37 %, and 32 % using the Friedewald, Sampson, and Martin–Hopkins equations, respectively. Non-HDL-C showed a clinically acceptable bias of −2.83 %, supporting its use for prevention goals and familial hypercholesterolemia screening. Concordance analysis of SCORE2 based on non-HDL-C categories revealed high reliability (95 % CI [0.72; 0.92]). Conclusions These findings support the use of Cobas ® b101 with capillary sampling for population-level screening and preliminary CVD risk assessment using SCORE2, despite reduced analytical performance for TG. Abnormal results should be confirmed by a fasting lipid profile.

Authors

Institutions

Publication Details

Journal
Clinical Chemistry and Laboratory Medicine (CCLM)
Published
2026-07-27
DOI
https://doi.org/10.1515/cclm-2026-0570
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating Cobas ® b101 for lipid profile and SCORE2 risk assessment from capillary blood in population screening

Julie de Bermont, P Moulin, Oriane Marmontel, Mathilde Di Filippo et al.
Clinical Chemistry and Laboratory Medicine (CCLM)
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Evaluating Cobas ® b101 for lipid profile and SCORE2 risk assessment from capillary blood in population screening

Julie de Bermont, P Moulin, Oriane Marmontel, Mathilde Di Filippo, Carole Neugnot, Emilie Blond, Sabine Zaepfel, Ihsane Benlyamani, S. Couraud, Marina Pesenti, Pierre Yves Courand, S Charriere, Emmanuel Grolleau, Antoine Villemin
article en

Abstract

Abstract Objectives Cardiovascular disease (CVD) is a leading cause of mortality worldwide. Emerging lung cancer screening in smokers may offer an opportunity for simultaneous cardiovascular risk evaluation. We developed a mobile CT screening unit and assessed the feasibility of integrating dyslipidemia screening and non-HDL cholesterol-based SCORE2 estimation using the Cobas ® b101 point-of-care testing (POCT) analyzer on capillary blood samples. Methods Following a preliminary evaluation of two POCT analyzers, the Cobas ® b101 was selected for capillary lipid profiling. Lipid results obtained from capillary samples analyzed in the mobile unit were compared with venous samples analyzed in the central laboratory in 84 screened participants. Results For total cholesterol and HDL-C, the Passing–Bablok regression were strong, with clinically acceptable differences of −0.81 % and +5.23 %, respectively. Triglycerides showed a clinically unacceptable difference of +29.4 %, but strong agreement with clinical categories was observed (kappa 95 % CI [0.55; 0.82]); this may reflect both matrix effects and the non-fasting status of almost all participants (∼91 % were non-fasting). Calculated LDL-C misclassification rates were 47 %, 37 %, and 32 % using the Friedewald, Sampson, and Martin–Hopkins equations, respectively. Non-HDL-C showed a clinically acceptable bias of −2.83 %, supporting its use for prevention goals and familial hypercholesterolemia screening. Concordance analysis of SCORE2 based on non-HDL-C categories revealed high reliability (95 % CI [0.72; 0.92]). Conclusions These findings support the use of Cobas ® b101 with capillary sampling for population-level screening and preliminary CVD risk assessment using SCORE2, despite reduced analytical performance for TG. Abnormal results should be confirmed by a fasting lipid profile.

Clinical Chemistry and Laboratory Medicine (CCLM)
Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Inserm (FR), Lyon College (US), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Hôpital de la Croix-Rousse (FR), Hospices Civils de Lyon (FR), Laboratoire de Biologie et Modélisation de la Cellule (FR), Hôpital Lyon Sud (FR), Centre de Recherche en Cancérologie de Lyon (FR), Laboratoire de recherche en cardiovasculaire, métabolisme, diabétologie et nutrition (FR), Hôpital Louis Pradel (FR)
Good health and well-being
Openalex Percentile: Top 9%
Diabetes, Cardiovascular Risks, and Lipoproteins
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.