title: Point-of-care devices for physiological measurements in field conditions. A smorgasbord of instruments and validation procedures.
abstract: Point-of-care (POC) devices provide quick diagnostic results that increase the efficiency of patient care. Many POC devices are currently available to measure metabolites, blood gases, hormones, disease biomarkers or pathogens in samples as diverse as blood, urine, feces or exhaled breath. This diversity is potentially very useful for the comparative physiologist in field studies if proper validation studies are carried out to justify the accuracy of the devices in non-human species under different conditions. Our review presents an account of physiological parameters that can be monitored with POC devices and surveys the literature for suitable quantitative and statistical procedures for comparing POC measurements with reference "gold standard" procedures. We provide a set of quantitative tools and report on different correlation coefficients (Lin's Concordance Correlation Coefficient or the more widespread Pearson correlation coefficient), describe the graphical assessment of variation using Bland-Altman plots and discuss the difference between Model I and Model II regression procedures. We also report on three validation datasets for lactate, glucose and hemoglobin measurements in birds using the newly proposed procedures. We conclude the review with a haphazard account of future developments in the field, emphasizing the interest in lab-on-a-chip devices to carry out more complex experimental measurements than the ones currently available in POC devices.
authors.affiliation: Avian Behavioral Genomics and Physiology group, Division of Biology, Department of Physics, Chemistry and Biology (IFM), Linköping Univ., SE-58183 Linköping, Sweden.
authors.forename: Caroline
authors.initials: C
authors.lastname: Lindholm
authors.affiliation: Avian Behavioral Genomics and Physiology group, Division of Biology, Department of Physics, Chemistry and Biology (IFM), Linköping Univ., SE-58183 Linköping, Sweden. Electronic address: jordi.altimiras@liu.se.
authors.forename: Jordi
authors.initials: J
authors.lastname: Altimiras
mesh_terms: D000818:Animals; D030161:Avian Proteins / Q000032:analysis; D015415:Biomarkers / Q000032:analysis; D001717:Birds / Q000097:blood; D001786:Blood Glucose / Q000032:analysis; D002645:Chickens / Q000097:blood; D006454:Hemoglobins / Q000032:analysis; D056656:Lab-On-A-Chip Devices / Q000662:veterinary; D019095:Point-of-Care Systems / Q000592:standards / Q000706:statistics & numerical data / Q000639:trends
chemical_list: D030161:Avian Proteins; D015415:Biomarkers; D001786:Blood Glucose; D006454:Hemoglobins