Agreement between i-STAT and YSI 2300 devices to determine lactate concentrations in dogs undergoing exercise

Berkman, Carolina; Pereira, M. C.; Nardi, Kamirro Bacciotti; Pereira, Gener Tadeu; Soares, Otávio Augusto Brioschi; Restán, Wilmer Alejandro Zamora; Queiroz-Neto, A.; Ferraz, Guilherme de Camargo

doi:10.3920/cep160002

Cited by 10 publications

(10 citation statements)

References 21 publications

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“…It assumes error is only introduced by the method that is being compared to the ‘gold standard’ methodology. The use of OLP to compare two methodologies avoids these two limitations, allowing precise determination of any fixed or proportional bias [23,24,26].…”

Section: Discussionmentioning

confidence: 99%

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Intrabladder pressure as predictor of intra-abdominal pressure in horses

et al. 2019

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ObjectivesTo investigate effects of postural changes and bladder distention on intrabladder pressure whilst estimating intra-abdominal pressure in horses.DesignTwo-year cohort study. Patients admitted for elective surgical procedures unrelated to gastrointestinal or genitourinary tract.SettingSchool of Agricultural and Veterinarian Sciences, Jaboticabal, SP, Brazil.Animals20 adult horses, 11 males (stallions and geldings) and 9 females; between 3.5 and 12 years, weighing 350 to 500 kg.InterventionsIntra-abdominal pressure was directly-recorded through abdominocentesis at the ventral midline with a fluid-filled system. Intrabladder pressure was obtained from a bladder catheter with the fluid-filled system zeroed at the level of the tuber ischia with patients in dorsal recumbency or pubic symphysis if in lateral recumbency.Measurements and main resultsBody position directly influenced intra-abdominal pressure. In dorsal recumbency, intra-abdominal pressure differed (p < 0.05) from intrabladder pressure at end-inspiration and end-expiration regardless of whether the bladder was empty or distended. There was no correlation nor association between the two pressures in this body position. In lateral recumbency a difference (p <0.05) between intra-abdominal pressure and intrabladder pressure was recorded at end-inspiration with the bladder distended with 25 ml, and at end-expiration for distension volumes of 25 ml and 50 ml. There was a strong correlation between both pressures for left and right lateral recumbency, regardless of the distension volume. Ordinary least product (OLP) regression analysis showed no fixed or proportional bias between both pressures for distension volume of 50 ml, at both end-inspiration and end-expiration.ConclusionsIndirect assessment of equine intra-abdominal pressure cannot be made in dorsal recumbency. For that purpose, patients should be in left lateral recumbency with the bladder distended with 50 ml. Values can be recorded at end-inspiration or end-expiration.RestrictionOcclusion of the catheter tip by the bladder wall when minimally distended.

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Section: Discussionmentioning

confidence: 99%

“…The proportional bias was determined from the 95% CI for slope. In this case, if the CI includes the value of 1.0 there is no proportional bias [23,24]. The R program (version 3.2.5)–Free Software Foundation Inc. was used to assess this.…”

Section: Methodsmentioning

confidence: 99%

Intrabladder pressure as predictor of intra-abdominal pressure in horses

et al. 2019

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“…The divergence between OLP regression and Bland-Altman method can also be seen in a real sample (with high correlation and low variability) 19,28 . A potential explanation for this finding is attributable to the presence of a large amount proportional bias 26 .…”

Section: Fixed and Proportional Bias Assessmentsmentioning

confidence: 91%

“…Where E(Y) is the predicted value of y as a function of x, in this sense, the OLP regression coefficients and their CIs can calculate several ways 5 . Here, we used one way to assess OLP coefficients and two ways to evaluate their 95% CIs that seem to be less sophisticated approaches 1,4,19 . Initially, it is necessary to find values of b (slope) in the ordinary least square (OLS) models where they are estimated by OLS regression of y on x and x on y, respectively.…”

Section: Fixed and Proportional Bias Assessmentmentioning

confidence: 99%

“…where t is the value of Student's t-distribution corresponding to two-sided α = 0.05 at n-1 and n is the sample size, and SE is the standard error of the mean for difference 27 assessed by ( ̅ ) = √ (18) and the SD is the sample standard deviation for differences 26 . = √ ∑( − ̅ ) 2 − 1 (19) Besides, to examine proportional bias, the correlation between average and difference should be checked 27 . The (Pearson product-moment) correlation coefficient can be obtained via 20…”

Section: Fixed and Proportional Bias Assessmentmentioning

confidence: 99%

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Ordinary Least Products Regression: A Robust Statistical Tool for Assessing Agreement Between Measures Attended by High Variability

Nascimento-Ferreira¹,

Moraes²,

Carvalho³

2020

Preprint

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Background: Agreement (and disagreement) assessments are essential steps in the evaluation of new and existing methods. We aimed to provide a statistical approach to assess systematic disagreement between two measures/methods when both are attended by random error and high variability. Methods: We applied ordinary least products (OLP) regression and the Bland-Altman method in six simulated pairs of samples. In OLP regression, fixed bias defined if 95% confidence intervals (CIs) of the intercept did not include 0. Proportional bias was defined if 95% CIs of the slope did not include 1. As a comparator, we assessed fixed and proportional bias by the Bland-Altman method. Results: We found divergence between studied statistical method outcomes only for measures with low variability (coefficient of variation, CV < 25,0%). Conclusion: OLP regression is a simple and powerful tool for detecting systematic disagreement when the measures are attended by high variability, as well as behavioral variables.

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