Laboratory interference in the thyroid function test

Paczkowska, Katarzyna; Otlewska, Anna; Loska, Olga; Kolačkov, Katarzyna; Bolanowski, Marek; Daroszewski, Jacek

doi:10.5603/ep.a2020.0079

Cited by 14 publications

(6 citation statements)

References 77 publications

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“…10,3 In our study, thyroid diseases were found to be more prevalent (56%) in females compared to males. Similar findings are reported locally by Naz et al and Shah et al 11,12 and internationally by Paczkowska et al 13 In our study, 169 subjects gave same results by both methods with highly significant difference in hypothyroid and Euthyroid subjects. Statistically, all the data was analyzed for coefficient of correlation and it displayed a significant coefficient of correlation (R 2 =0.8598) as documented locally by Naz et al and foreign researcher Hamed et al 11,14 In present study two methods, ELISA and CLIA were compared for determination of TSH.…”

Section: Discussionsupporting

confidence: 93%

Comparison of Enzyme-Linked Immunosorbent Assay and Chemiluminescence Immunoassay for Thyroid Stimulating Hormone Analysis in Tertiary Care Hospital Lahore

Alavi¹,

Khawaja²,

Asif³

et al. 2021

JAFMDC

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Objective: To compare enzyme-linked immunosorbent assay and Chemiluminescence immunoassay for thyroid stimulating hormone analysis in human serum. Methodology: This cross-sectional study conducted from 17th March till 13th June. In Punjab Rangers Teaching Hospital, Lahore after approval from Institutional Review Board. Random samples from both genders, between 18-70 years of age were included. Haemolysed, lipemic or icteric specimens were excluded. The sera were assayed for thyroid stimulating hormone (TSH) by enzyme-linked immunosorbent assay (ELISA) and Chemiluminescence immunoassay (CLIA). Data was analyzed by SPSS 24. Results: A total of one hundred and ninety-eight serum samples were processed by ELISA and CLIA in all the samples, with more females as compared to males (1:1.3). ELISA technique identified 134 subjects as Euthyroid, 40 Hypothyroid and 24 Hyperthyroid, while 122 Euthyroid, 48 hypothyroid and 28 hyperthyroid subjects by CLIA. Thyroid stimulating hormone (TSH) levels reference range was taken 0.4-4.5mU/L according to American Thyroid Association. Mean ± SD of TSH was 1.45 ± 0.79; 12.27 ± 11.03 and 0.23 ± 0.17 mU/L respectively by ELISA whereas CLIA indicated Mean ± SD to be 1.93 ± 0.936, 16.04 ± 14.68 and 0.393 ± 0.375 mU/L respectively for Euthyroid, hypothyroid and hyperthyroid. Correlation of coefficient (R2 =0.89) was found significantly positive between both methods. There was a significant difference in hypothyroid and Euthyroid groups. Conclusion: TSH assay by CLIA has shown a wider range of functionality, throughout and borderline cases were identified better as compared to ELISA. Turn-around-time (TAT) decreased, physician satisfaction increased and indirectly benefitting patient treatment and prognosis.

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Section: Discussionsupporting

confidence: 93%

Comparison of Enzyme-Linked Immunosorbent Assay and Chemiluminescence Immunoassay for Thyroid Stimulating Hormone Analysis in Tertiary Care Hospital Lahore

Alavi¹,

Khawaja²,

Asif³

et al. 2021

JAFMDC

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“…Thyroid conditions are difficult to detect in test results ( Paczkowska et al, 2020 ), and only trained professionals can do so. However, reading such extensive reports and predicting future results is difficult.…”

Section: Related Studymentioning

confidence: 99%

Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study

Islam

Haque

Miah

et al. 2022

PeerJ Computer Science

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Thyroid disease is the general concept for a medical problem that prevents one’s thyroid from producing enough hormones. Thyroid disease can affect everyone—men, women, children, adolescents, and the elderly. Thyroid disorders are detected by blood tests, which are notoriously difficult to interpret due to the enormous amount of data necessary to forecast results. For this reason, this study compares eleven machine learning algorithms to determine which one produces the best accuracy for predicting thyroid risk accurately. This study utilizes the Sick-euthyroid dataset, acquired from the University of California, Irvine’s machine learning repository, for this purpose. Since the target variable classes in this dataset are mostly one, the accuracy score does not accurately indicate the prediction outcome. Thus, the evaluation metric contains accuracy and recall ratings. Additionally, the F1-score produces a single value that balances the precision and recall when an uneven distribution class exists. Finally, the F1-score is utilized to evaluate the performance of the employed machine learning algorithms as it is one of the most effective output measurements for unbalanced classification problems. The experiment shows that the ANN Classifier with an F1-score of 0.957 outperforms the other nine algorithms in terms of accuracy.

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“…Since NIBSC reference reagent 66/387 stocks are now exhausted, WHO Expert Committee on Biological Standardization has developed the first candidate international standard for TPOAb (NIBSC 19/260) as replacement 126. Heterophile antibodies, anti-streptavidin antibodies and high-dose biotin may interfere with TPOAb and other thyroid antibody assays depending on assay method 127…”

Section: Introductionmentioning

confidence: 99%

Thyroid autoantibodies

2022

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Thyroid-stimulating hormone (TSH) receptor antibody (TSH-R-Ab or TRAb) testing plays a pivotal role in arriving at the aetiological diagnosis in patients with thyrotoxicosis. A positive test establishes the diagnosis of Graves’ disease (GD) while a negative result in conjunction with imaging studies supports other possible aetiologies. In patients with GD, TRAb levels at diagnosis and at the time of withdrawal of antithyroid drugs can identify patients who are unlikely to achieve remission and guide clinical management decisions. We provide an algorithm that incorporates TRAb in the decision-making process for the management of thyrotoxicosis. The utility of TRAb in predicting the risk of fetal and neonatal thyroid dysfunction is established and widely accepted in guidelines. TRAb may also help in the diagnosis of Graves’ orbitopathy, especially in euthyroid or hypothyroid patients and its role in guiding its management is evolving as a useful adjunct to the clinical parameters used in making therapeutic decisions.Anti-thyroid peroxidase antibodies (TPOAb) and anti-thyroglobulin antibodies (TgAb) indicate thyroid autoimmunity. The most common use of TPOAb is to identify patients at a higher risk of progression to treatment-requiring hypothyroidism. They also aid the diagnosis of immune thyroiditis and Hashimoto’s encephalopathy. Thyroglobulin measurement is used to help guide differentiated thyroid cancer treatment. TgAb is used as an accompanying test with thyroglobulin measurement as its presence can interfere with the thyroglobulin assay. A negative TgAb result reduces the likelihood of, but does not exclude, interference with thyroglobulin assay.

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Laboratory interference in the thyroid function test

Cited by 14 publications

References 77 publications

Comparison of Enzyme-Linked Immunosorbent Assay and Chemiluminescence Immunoassay for Thyroid Stimulating Hormone Analysis in Tertiary Care Hospital Lahore

Comparison of Enzyme-Linked Immunosorbent Assay and Chemiluminescence Immunoassay for Thyroid Stimulating Hormone Analysis in Tertiary Care Hospital Lahore

Application of machine learning algorithms to predict the thyroid disease risk: an experimental comparative study

Thyroid autoantibodies

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