Integrated modeling of labile and glycated hemoglobin with glucose for enhanced diabetes detection and short-term monitoring
José Antonio Romero-Rosales,
David G. Aragones,
José Escribano-Serrano,
Marisa González Borrachero,
Alfredo Michán Doña,
Francisco J. Macías López,
María Angeles Santos Mata,
Inmaculada Naranjo Jiménez,
María Jesús Casamitjana Zamora,
Hélia Serrano,
Juan Belmonte-Beitia,
María Rosa Durán,
Gabriel F. Calvo
Affiliations
José Antonio Romero-Rosales
Department of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, Spain
David G. Aragones
Department of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, Spain
José Escribano-Serrano
UGC Primary Care San Roque, Campo de Gibraltar, Cádiz, Spain
Marisa González Borrachero
Department of Biochemistry, University Hospital of Jerez, Jerez, Cádiz, Spain
Alfredo Michán Doña
UGC Internal Medicine, University Hospital of Jerez and Department of Medicine, University of Cádiz, Cádiz, Spain; Biomedical Research and Innovation Institute of Cadiz (INiBICA), Hospital Universitario Puerta del Mar, Cádiz, Spain
Francisco J. Macías López
UGC Pediatric, University Hospital of Jerez, Jerez, Cádiz, Spain
María Angeles Santos Mata
UGC Pediatric, University Hospital of Jerez, Jerez, Cádiz, Spain
Inmaculada Naranjo Jiménez
UGC Pediatric, University Hospital of Jerez, Jerez, Cádiz, Spain
María Jesús Casamitjana Zamora
UGC Pediatric, University Hospital of Jerez, Jerez, Cádiz, Spain
Hélia Serrano
Department of Mathematics, Faculty of Chemical Sciences and Technologies, University of Castilla-La Mancha, Ciudad Real, Spain
Juan Belmonte-Beitia
Department of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, Spain
María Rosa Durán
Biomedical Research and Innovation Institute of Cadiz (INiBICA), Hospital Universitario Puerta del Mar, Cádiz, Spain; Department of Mathematics, University of Cádiz, Puerto Real, Cádiz, Spain
Gabriel F. Calvo
Department of Mathematics, Mathematical Oncology Laboratory (MOLAB), University of Castilla-La Mancha, Ciudad Real, Spain; Corresponding author
Summary: Metabolic biomarkers, particularly glycated hemoglobin and fasting plasma glucose, are pivotal in the diagnosis and control of diabetes mellitus. Despite their importance, they exhibit limitations in assessing short-term glucose variations. In this study, we propose labile hemoglobin as an additional biomarker, providing insightful perspectives into these fluctuations. By utilizing datasets from 40,652 retrospective general participants and conducting glucose tolerance tests on 60 prospective pediatric subjects, we explored the relationship between plasma glucose and labile hemoglobin. A mathematical model was developed to encapsulate short-term glucose kinetics in the pediatric group. Applying dimensionality reduction techniques, we successfully identified participant subclusters, facilitating the differentiation between diabetic and non-diabetic individuals. Intriguingly, by integrating labile hemoglobin measurements with plasma glucose values, we were able to predict the likelihood of diabetes in pediatric subjects, underscoring the potential of labile hemoglobin as a significant glycemic biomarker for diabetes research.