Point-of-Care Testing in Chronic Kidney Disease of Non-Traditional Origin: Considerations for Clinical, Epidemiological, and Health Surveillance Research and Practice

Purpose: As the prevalence of chronic kidney disease of non-traditional origin (CKDnt) rises in low-resource settings, there is a need for reliable point-of-care creatinine testing. The purpose of this analysis was to assess the accuracy of two commonly used point-of-care creatinine devices, the i-S...

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Main Authors: Miranda Dally, Juan José Amador, Jaime Butler-Dawson, Damaris Lopez-Pilarte, Alexandra Gero, Lyndsay Krisher, Alex Cruz, Daniel Pilloni, Joseph Kupferman, David J. Friedman, Benjamin R. Griffin, Lee S. Newman, Daniel R. Brooks
Format: Article
Language:English
Published: Ubiquity Press 2023-02-01
Series:Annals of Global Health
Subjects:
Online Access:https://annalsofglobalhealth.org/articles/3884
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author Miranda Dally
Juan José Amador
Jaime Butler-Dawson
Damaris Lopez-Pilarte
Alexandra Gero
Lyndsay Krisher
Alex Cruz
Daniel Pilloni
Joseph Kupferman
David J. Friedman
Benjamin R. Griffin
Lee S. Newman
Daniel R. Brooks
author_facet Miranda Dally
Juan José Amador
Jaime Butler-Dawson
Damaris Lopez-Pilarte
Alexandra Gero
Lyndsay Krisher
Alex Cruz
Daniel Pilloni
Joseph Kupferman
David J. Friedman
Benjamin R. Griffin
Lee S. Newman
Daniel R. Brooks
author_sort Miranda Dally
collection DOAJ
description Purpose: As the prevalence of chronic kidney disease of non-traditional origin (CKDnt) rises in low-resource settings, there is a need for reliable point-of-care creatinine testing. The purpose of this analysis was to assess the accuracy of two commonly used point-of-care creatinine devices, the i-STAT handheld (Abbott, Princeton, NJ, USA) and the StatSensor Creatinine (Nova Biomedical, Waltham, MA, USA) in comparison to venipuncture serum creatinine measures. The affordability, sensitivity, specificity, ease of use, and other considerations for each device are also presented. Methods: Three paired data sets were compared. We collected 213 paired i-STAT and venipuncture samples from a community study in Nicaragua in 2015–2016. We also collected 267 paired StatSensor Creatinine and venipuncture samples, including 158 from a community setting in Nicaragua in 2014–2015 and 109 from a Guatemala sugarcane worker cohort in 2017–2018. Pearson correlation coefficients, Bland-Altman plots, and no intercept linear regression models were used to assess agreement between point-of-care devices and blood samples. Results: The i-STAT performed the most accurately, overestimating creatinine by 0.07 mg/dL (95% CI: 0.02, 0.12) with no evidence of proportional bias. The StatSensor Creatinine performed well at low levels of creatinine (Mean (SD): 0.87 (0.19)). Due to proportional bias, the StatSensor Creatinine performed worse in the Nicaragua community setting where creatinine values ranged from 0.31 to 7.04 mg/dL. Discussion: Both devices provide acceptable sensitivity and specificity. Although adequate for routine surveillance, StatSensor Creatinine is less accurate as the values of measured creatinine increase, a consideration when using the point-of-care device for screening individuals at risk for CKDnt. Research, clinical, and screening objectives, cost, ease of use, and background prevalence of disease must all be carefully considered when selecting a point-of-care creatinine device. Conclusion: POC testing can be more accessible in resource-limited settings. The selection of the appropriate device will depend on the use-case.
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spelling doaj.art-81e0b8f976d74f84b61acca6514a03732023-03-17T12:33:44ZengUbiquity PressAnnals of Global Health2214-99962023-02-0189110.5334/aogh.38842824Point-of-Care Testing in Chronic Kidney Disease of Non-Traditional Origin: Considerations for Clinical, Epidemiological, and Health Surveillance Research and PracticeMiranda Dally0Juan José Amador1Jaime Butler-Dawson2Damaris Lopez-Pilarte3Alexandra Gero4Lyndsay Krisher5Alex Cruz6Daniel Pilloni7Joseph Kupferman8David J. Friedman9Benjamin R. Griffin10Lee S. Newman11Daniel R. Brooks12Center for Health, Work, & Environment, Colorado School of Public Health, University of Colorado, Aurora, CO; Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Aurora, CODepartment of Epidemiology, Boston University School of Public Health, Boston, MACenter for Health, Work, & Environment, Colorado School of Public Health, University of Colorado, Aurora, CO; Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Aurora, CODepartment of Epidemiology, Boston University School of Public Health, Boston, MADepartment of Epidemiology, Boston University School of Public Health, Boston, MACenter for Health, Work, & Environment, Colorado School of Public Health, University of Colorado, Aurora, CO; Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Aurora, COPantaleon, Guatemala CityPantaleon, Guatemala CityDivision of Nephrology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Center for Vascular Biology Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MADivision of Nephrology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA; Center for Vascular Biology Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MADivision of Nephrology, University of Iowa, Iowa City, IowaCenter for Health, Work, & Environment, Colorado School of Public Health, University of Colorado, Aurora, CO; Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Aurora, CO; Division of Pulmonary Sciences and Critical Care Medicine, Department of Medicine, School of Medicine, University of Colorado, Aurora, CO; Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CODepartment of Epidemiology, Boston University School of Public Health, Boston, MAPurpose: As the prevalence of chronic kidney disease of non-traditional origin (CKDnt) rises in low-resource settings, there is a need for reliable point-of-care creatinine testing. The purpose of this analysis was to assess the accuracy of two commonly used point-of-care creatinine devices, the i-STAT handheld (Abbott, Princeton, NJ, USA) and the StatSensor Creatinine (Nova Biomedical, Waltham, MA, USA) in comparison to venipuncture serum creatinine measures. The affordability, sensitivity, specificity, ease of use, and other considerations for each device are also presented. Methods: Three paired data sets were compared. We collected 213 paired i-STAT and venipuncture samples from a community study in Nicaragua in 2015–2016. We also collected 267 paired StatSensor Creatinine and venipuncture samples, including 158 from a community setting in Nicaragua in 2014–2015 and 109 from a Guatemala sugarcane worker cohort in 2017–2018. Pearson correlation coefficients, Bland-Altman plots, and no intercept linear regression models were used to assess agreement between point-of-care devices and blood samples. Results: The i-STAT performed the most accurately, overestimating creatinine by 0.07 mg/dL (95% CI: 0.02, 0.12) with no evidence of proportional bias. The StatSensor Creatinine performed well at low levels of creatinine (Mean (SD): 0.87 (0.19)). Due to proportional bias, the StatSensor Creatinine performed worse in the Nicaragua community setting where creatinine values ranged from 0.31 to 7.04 mg/dL. Discussion: Both devices provide acceptable sensitivity and specificity. Although adequate for routine surveillance, StatSensor Creatinine is less accurate as the values of measured creatinine increase, a consideration when using the point-of-care device for screening individuals at risk for CKDnt. Research, clinical, and screening objectives, cost, ease of use, and background prevalence of disease must all be carefully considered when selecting a point-of-care creatinine device. Conclusion: POC testing can be more accessible in resource-limited settings. The selection of the appropriate device will depend on the use-case.https://annalsofglobalhealth.org/articles/3884chronic kidney diseasepointof- carehealth surveillanceepidemiologyclinical services
spellingShingle Miranda Dally
Juan José Amador
Jaime Butler-Dawson
Damaris Lopez-Pilarte
Alexandra Gero
Lyndsay Krisher
Alex Cruz
Daniel Pilloni
Joseph Kupferman
David J. Friedman
Benjamin R. Griffin
Lee S. Newman
Daniel R. Brooks
Point-of-Care Testing in Chronic Kidney Disease of Non-Traditional Origin: Considerations for Clinical, Epidemiological, and Health Surveillance Research and Practice
Annals of Global Health
chronic kidney disease
pointof- care
health surveillance
epidemiology
clinical services
title Point-of-Care Testing in Chronic Kidney Disease of Non-Traditional Origin: Considerations for Clinical, Epidemiological, and Health Surveillance Research and Practice
title_full Point-of-Care Testing in Chronic Kidney Disease of Non-Traditional Origin: Considerations for Clinical, Epidemiological, and Health Surveillance Research and Practice
title_fullStr Point-of-Care Testing in Chronic Kidney Disease of Non-Traditional Origin: Considerations for Clinical, Epidemiological, and Health Surveillance Research and Practice
title_full_unstemmed Point-of-Care Testing in Chronic Kidney Disease of Non-Traditional Origin: Considerations for Clinical, Epidemiological, and Health Surveillance Research and Practice
title_short Point-of-Care Testing in Chronic Kidney Disease of Non-Traditional Origin: Considerations for Clinical, Epidemiological, and Health Surveillance Research and Practice
title_sort point of care testing in chronic kidney disease of non traditional origin considerations for clinical epidemiological and health surveillance research and practice
topic chronic kidney disease
pointof- care
health surveillance
epidemiology
clinical services
url https://annalsofglobalhealth.org/articles/3884
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