Literature DB >> 27083239

Point-of-care devices for physiological measurements in field conditions. A smorgasbord of instruments and validation procedures.

Caroline Lindholm1, Jordi Altimiras2.   

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.
Copyright © 2016. Published by Elsevier Inc.

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Year:  2016        PMID: 27083239     DOI: 10.1016/j.cbpa.2016.04.009

Source DB:  PubMed          Journal:  Comp Biochem Physiol A Mol Integr Physiol        ISSN: 1095-6433            Impact factor:   2.320


  6 in total

1.  Analysing tropical elasmobranch blood samples in the field: blood stability during storage and validation of the HemoCue® haemoglobin analyser.

Authors:  Gail D Schwieterman; Ian A Bouyoucos; Kristy Potgieter; Colin A Simpfendorfer; Richard W Brill; Jodie L Rummer
Journal:  Conserv Physiol       Date:  2019-11-29       Impact factor: 3.079

2.  Reference Intervals for Plasma Biochemical Variables by Point-of-Care Testing in Captive Black-tailed Prairie Dogs (Cynomys ludovicianus).

Authors:  David Eshar; Sara M Gardhouse; Diana Schwartz; Hugues Beaufrere
Journal:  J Am Assoc Lab Anim Sci       Date:  2018-09-12       Impact factor: 1.232

3.  Aerobic performance in tinamous is limited by their small heart. A novel hypothesis in the evolution of avian flight.

Authors:  Jordi Altimiras; Isa Lindgren; Lina María Giraldo-Deck; Alberto Matthei; Álvaro Garitano-Zavala
Journal:  Sci Rep       Date:  2017-11-21       Impact factor: 4.379

4.  Obtaining accurate glucose measurements from wild animals under field conditions: comparing a hand held glucometer with a standard laboratory technique in grey seals.

Authors:  Kimberley A Bennett; Lucy M Turner; Sebastian Millward; Simon E W Moss; Ailsa J Hall
Journal:  Conserv Physiol       Date:  2017-02-27       Impact factor: 3.079

Review 5.  Measuring Farm Animal Emotions-Sensor-Based Approaches.

Authors:  Suresh Neethirajan; Inonge Reimert; Bas Kemp
Journal:  Sensors (Basel)       Date:  2021-01-14       Impact factor: 3.576

6.  Point-of-care testing for measuring haemolymph glucose in invertebrates is not a valid method.

Authors:  Silas C Principe; Alessandra Augusto; Tânia M Costa
Journal:  Conserv Physiol       Date:  2019-11-28       Impact factor: 3.079

  6 in total

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