Lindholm Caroline, Altimiras Jordi
Avian Behavioral Genomics and Physiology group, Division of Biology, Department of Physics, Chemistry and Biology (IFM), Linköping Univ., SE-58183 Linköping, Sweden.
Avian Behavioral Genomics and Physiology group, Division of Biology, Department of Physics, Chemistry and Biology (IFM), Linköping Univ., SE-58183 Linköping, Sweden.
Comp Biochem Physiol A Mol Integr Physiol. 2016 Dec;202:99-111. doi: 10.1016/j.cbpa.2016.04.009. Epub 2016 Apr 12.
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.
即时检测(POC)设备可提供快速诊断结果,提高患者护理效率。目前有许多POC设备可用于测量血液、尿液、粪便或呼出气体等多种样本中的代谢物、血气、激素、疾病生物标志物或病原体。如果进行适当的验证研究以证明这些设备在不同条件下对非人类物种测量的准确性,这种多样性对野外研究中的比较生理学家可能非常有用。我们的综述介绍了可用POC设备监测的生理参数,并查阅文献寻找将POC测量结果与参考“金标准”程序进行比较的合适定量和统计程序。我们提供了一套定量工具,并报告了不同的相关系数(林氏一致性相关系数或更广泛使用的皮尔逊相关系数),描述了使用布兰德-奥特曼图对变异进行的图形评估,并讨论了I型和II型回归程序之间的差异。我们还报告了使用新提出的程序对鸟类乳酸、葡萄糖和血红蛋白测量的三个验证数据集。我们以对该领域未来发展的随意描述结束综述,强调了对芯片实验室设备的兴趣,这种设备能够进行比目前POC设备更复杂的实验测量。