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Impact of Body Mass Index on Gates Method of Glomerular Filtration Rate Estimation: A Comparative Study with Single Plasma Sample Method

PURPOSE OF THE STUDY: This study aims to compare glomerular filtration rate (GFR) estimated by Gates method using gamma camera (GC) with single plasma sample method (SPSM) in people with normal and abnormal body mass index (BMI) using SPSM as gold standard. MATERIALS AND METHODS: It was single-cente...

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Autores principales: Nautiyal, Amit, Mukherjee, Anirban, Mitra, Deepanjan, Chatterjee, Piyali, Roy, Anindya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352634/
https://www.ncbi.nlm.nih.gov/pubmed/30713373
http://dx.doi.org/10.4103/ijnm.IJNM_112_18
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author Nautiyal, Amit
Mukherjee, Anirban
Mitra, Deepanjan
Chatterjee, Piyali
Roy, Anindya
author_facet Nautiyal, Amit
Mukherjee, Anirban
Mitra, Deepanjan
Chatterjee, Piyali
Roy, Anindya
author_sort Nautiyal, Amit
collection PubMed
description PURPOSE OF THE STUDY: This study aims to compare glomerular filtration rate (GFR) estimated by Gates method using gamma camera (GC) with single plasma sample method (SPSM) in people with normal and abnormal body mass index (BMI) using SPSM as gold standard. MATERIALS AND METHODS: It was single-center prospective study including 60 voluntary kidney donors. Technetium-99m labeled Diethylene Triamine Pentaacetic Acid ((99m)Tc-DTPA) was administered intravenous under GC. GFR was calculated using Gates Method. After the scan, the subjects were called again after 180 min of injection of (99m)Tc-DTPA. Then, a 3 ml venous blood sample was obtained from the contralateral arm. Russell's formula was used to determine the GFR by SPSM. RESULTS: Mean GFR calculated by SPSM and Gates’ method, was 94.0 ± 15.2 ml/min/1.73 m(2) and 87.3 ± 16 ml/min/1.73 m(2) respectively. Moderate correlation noted between two methods (r = 0.71, P < 0.0001). Significant correlation noted between GFR calculated by SPSM and Gates method in people with normal BMI (r = 0.92) with no significant statistical difference (P = 0.8). However, only moderate correlation noted between GFR calculated by SPSM and Gates method in people with BMI outside normal range (r = 0.71) with a significant statistical difference (P = 0.0002). CONCLUSION: Gates method of GFR estimation using GC shows significant correlation with plasma sample technique in people with normal BMI. In people with BMI outside normal range, it significantly underestimates GFR.
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spelling pubmed-63526342019-02-01 Impact of Body Mass Index on Gates Method of Glomerular Filtration Rate Estimation: A Comparative Study with Single Plasma Sample Method Nautiyal, Amit Mukherjee, Anirban Mitra, Deepanjan Chatterjee, Piyali Roy, Anindya Indian J Nucl Med Original Article PURPOSE OF THE STUDY: This study aims to compare glomerular filtration rate (GFR) estimated by Gates method using gamma camera (GC) with single plasma sample method (SPSM) in people with normal and abnormal body mass index (BMI) using SPSM as gold standard. MATERIALS AND METHODS: It was single-center prospective study including 60 voluntary kidney donors. Technetium-99m labeled Diethylene Triamine Pentaacetic Acid ((99m)Tc-DTPA) was administered intravenous under GC. GFR was calculated using Gates Method. After the scan, the subjects were called again after 180 min of injection of (99m)Tc-DTPA. Then, a 3 ml venous blood sample was obtained from the contralateral arm. Russell's formula was used to determine the GFR by SPSM. RESULTS: Mean GFR calculated by SPSM and Gates’ method, was 94.0 ± 15.2 ml/min/1.73 m(2) and 87.3 ± 16 ml/min/1.73 m(2) respectively. Moderate correlation noted between two methods (r = 0.71, P < 0.0001). Significant correlation noted between GFR calculated by SPSM and Gates method in people with normal BMI (r = 0.92) with no significant statistical difference (P = 0.8). However, only moderate correlation noted between GFR calculated by SPSM and Gates method in people with BMI outside normal range (r = 0.71) with a significant statistical difference (P = 0.0002). CONCLUSION: Gates method of GFR estimation using GC shows significant correlation with plasma sample technique in people with normal BMI. In people with BMI outside normal range, it significantly underestimates GFR. Medknow Publications & Media Pvt Ltd 2019 /pmc/articles/PMC6352634/ /pubmed/30713373 http://dx.doi.org/10.4103/ijnm.IJNM_112_18 Text en Copyright: © 2019 Indian Journal of Nuclear Medicine http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Nautiyal, Amit
Mukherjee, Anirban
Mitra, Deepanjan
Chatterjee, Piyali
Roy, Anindya
Impact of Body Mass Index on Gates Method of Glomerular Filtration Rate Estimation: A Comparative Study with Single Plasma Sample Method
title Impact of Body Mass Index on Gates Method of Glomerular Filtration Rate Estimation: A Comparative Study with Single Plasma Sample Method
title_full Impact of Body Mass Index on Gates Method of Glomerular Filtration Rate Estimation: A Comparative Study with Single Plasma Sample Method
title_fullStr Impact of Body Mass Index on Gates Method of Glomerular Filtration Rate Estimation: A Comparative Study with Single Plasma Sample Method
title_full_unstemmed Impact of Body Mass Index on Gates Method of Glomerular Filtration Rate Estimation: A Comparative Study with Single Plasma Sample Method
title_short Impact of Body Mass Index on Gates Method of Glomerular Filtration Rate Estimation: A Comparative Study with Single Plasma Sample Method
title_sort impact of body mass index on gates method of glomerular filtration rate estimation: a comparative study with single plasma sample method
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352634/
https://www.ncbi.nlm.nih.gov/pubmed/30713373
http://dx.doi.org/10.4103/ijnm.IJNM_112_18
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