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Factors Predicting Treatment Failure in Patients Treated with Iodine-131 for Graves’ Disease

Treatment of Graves' disease with iodine-131 ((131)I) is well-known; however, all patients do not respond to a single dose of (131)I and may require higher and repeated doses. This study was carried out to identify the factors, which can predict treatment failure to a single dose of (131)I trea...

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Autores principales: Manohar, Kuruva, Mittal, Bhagwant Rai, Bhoil, Amit, Bhattacharya, Anish, Dutta, Pinaki, Bhansali, Anil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4131390/
https://www.ncbi.nlm.nih.gov/pubmed/25125996
http://dx.doi.org/10.4103/1450-1147.136693
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author Manohar, Kuruva
Mittal, Bhagwant Rai
Bhoil, Amit
Bhattacharya, Anish
Dutta, Pinaki
Bhansali, Anil
author_facet Manohar, Kuruva
Mittal, Bhagwant Rai
Bhoil, Amit
Bhattacharya, Anish
Dutta, Pinaki
Bhansali, Anil
author_sort Manohar, Kuruva
collection PubMed
description Treatment of Graves' disease with iodine-131 ((131)I) is well-known; however, all patients do not respond to a single dose of (131)I and may require higher and repeated doses. This study was carried out to identify the factors, which can predict treatment failure to a single dose of (131)I treatment in these patients. Data of 150 patients with Graves' disease treated with 259-370 MBq of (131)I followed-up for at least 1-year were retrospectively analyzed. Logistic regression analysis was used to predict factors which can predict treatment failure, such as age, sex, duration of disease, grade of goiter, duration of treatment with anti-thyroid drugs, mean dosage of anti-thyroid drugs used, (99m)Tc-pertechnetate ((99m)TcO(4)(-)) uptake at 20 min, dose of (131)I administered, total triiodothyronine and thyroxine levels. Of the 150 patients, 25 patients required retreatment within 1 year of initial treatment with (131)I. Logistic regression analysis revealed that male sex and (99m)TcO(4)(-) uptake were associated with treatment failure. On receiver operating characteristic (ROC) curve analysis, area under the curve (AUC) was significant for (99m)TcO(4)(-) uptake predicting treatment failure (AUC = 0.623; P = 0.039). Optimum cutoff for (99m)TcO(4)(-) uptake was 17.75 with a sensitivity of 68% and specificity of 66% to predict treatment failure. Patients with >17.75% (99m)TcO(4)(-) uptake had odds ratio of 3.14 (P = 0.014) for treatment failure and male patients had odds ratio of 1.783 for treatment failure. Our results suggest that male patients and patients with high pre-treatment (99m)TcO(4)(-) uptake are more likely to require repeated doses of (131)I to achieve complete remission.
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spelling pubmed-41313902014-08-14 Factors Predicting Treatment Failure in Patients Treated with Iodine-131 for Graves’ Disease Manohar, Kuruva Mittal, Bhagwant Rai Bhoil, Amit Bhattacharya, Anish Dutta, Pinaki Bhansali, Anil World J Nucl Med Original Article Treatment of Graves' disease with iodine-131 ((131)I) is well-known; however, all patients do not respond to a single dose of (131)I and may require higher and repeated doses. This study was carried out to identify the factors, which can predict treatment failure to a single dose of (131)I treatment in these patients. Data of 150 patients with Graves' disease treated with 259-370 MBq of (131)I followed-up for at least 1-year were retrospectively analyzed. Logistic regression analysis was used to predict factors which can predict treatment failure, such as age, sex, duration of disease, grade of goiter, duration of treatment with anti-thyroid drugs, mean dosage of anti-thyroid drugs used, (99m)Tc-pertechnetate ((99m)TcO(4)(-)) uptake at 20 min, dose of (131)I administered, total triiodothyronine and thyroxine levels. Of the 150 patients, 25 patients required retreatment within 1 year of initial treatment with (131)I. Logistic regression analysis revealed that male sex and (99m)TcO(4)(-) uptake were associated with treatment failure. On receiver operating characteristic (ROC) curve analysis, area under the curve (AUC) was significant for (99m)TcO(4)(-) uptake predicting treatment failure (AUC = 0.623; P = 0.039). Optimum cutoff for (99m)TcO(4)(-) uptake was 17.75 with a sensitivity of 68% and specificity of 66% to predict treatment failure. Patients with >17.75% (99m)TcO(4)(-) uptake had odds ratio of 3.14 (P = 0.014) for treatment failure and male patients had odds ratio of 1.783 for treatment failure. Our results suggest that male patients and patients with high pre-treatment (99m)TcO(4)(-) uptake are more likely to require repeated doses of (131)I to achieve complete remission. Medknow Publications & Media Pvt Ltd 2013 /pmc/articles/PMC4131390/ /pubmed/25125996 http://dx.doi.org/10.4103/1450-1147.136693 Text en Copyright: © World Journal of Nuclear Medicine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Manohar, Kuruva
Mittal, Bhagwant Rai
Bhoil, Amit
Bhattacharya, Anish
Dutta, Pinaki
Bhansali, Anil
Factors Predicting Treatment Failure in Patients Treated with Iodine-131 for Graves’ Disease
title Factors Predicting Treatment Failure in Patients Treated with Iodine-131 for Graves’ Disease
title_full Factors Predicting Treatment Failure in Patients Treated with Iodine-131 for Graves’ Disease
title_fullStr Factors Predicting Treatment Failure in Patients Treated with Iodine-131 for Graves’ Disease
title_full_unstemmed Factors Predicting Treatment Failure in Patients Treated with Iodine-131 for Graves’ Disease
title_short Factors Predicting Treatment Failure in Patients Treated with Iodine-131 for Graves’ Disease
title_sort factors predicting treatment failure in patients treated with iodine-131 for graves’ disease
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4131390/
https://www.ncbi.nlm.nih.gov/pubmed/25125996
http://dx.doi.org/10.4103/1450-1147.136693
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