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      Androgens by immunoassay and mass spectrometry in children with 46,XY disorder of sex development

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          Abstract

          Objective

          Steroid measurement is a challenge in pediatric endocrinology. Currently, liquid chromatography with tandem mass spectrometry (LC-MS/MS) is considered a gold standard for this purpose. The aim of this study was to compare both LC-MS/MS and immunoassay (IA) for androgens before and after human recombinant chorionic gonadotropin (rhCG) stimulus in children with 46,XY disorders of sex development (DSD).

          Methods

          Nineteen patients with 46,XY DSD were evaluated; all of them were prepubertal and non-gonadectomized. Testosterone, dihydrotestosterone (DHT), DHEA and androstenedione were measured by IA and LC-MS/MS before and 7 days after rhCG injection. The correlation between IA and LC-MS/MS was analyzed by the intraclass correlation coefficient (ICC) and Spearman’s rank correlation coefficient (SCC). For concordance analysis the Passing and Bablok (PB) regression and the Bland and Altman (BA) method were used.

          Results

          Testosterone showed excellent correlation (ICC = 0.960 and SCC = 0.964); DHT showed insignificant and moderate correlations as indicated by ICC (0.222) and SCC (0.631), respectively; DHEA showed moderate correlation (ICC = 0.585 and SCC = 0.716); and androstenedione had poor and moderate correlations in ICC (0.363) and SCC (0.735), respectively. Using the PB method, all hormones showed a linear correlation, but proportional and systematic concordance errors were detected for androstenedione, systematic errors for testosterone and no errors for DHEA and DHT. By the BA method, there was a trend of IA to overestimate testosterone and androstenedione and underestimate DHEA and DHT when compared to LC-MS/MS.

          Conclusion

          Traditional IA should be replaced by LC-MS/MS for the androgens measurement in prepubertal children whenever is possible.

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          Most cited references35

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          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
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            Statistics corner: A guide to appropriate use of correlation coefficient in medical research.

            M M Mukaka (2012)
            Correlation is a statistical method used to assess a possible linear association between two continuous variables. It is simple both to calculate and to interpret. However, misuse of correlation is so common among researchers that some statisticians have wished that the method had never been devised at all. The aim of this article is to provide a guide to appropriate use of correlation in medical research and to highlight some misuse. Examples of the applications of the correlation coefficient have been provided using data from statistical simulations as well as real data. Rule of thumb for interpreting size of a correlation coefficient has been provided.
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              Understanding Bland Altman analysis

              In a contemporary clinical laboratory it is very common to have to assess the agreement between two quantitative methods of measurement. The correct statistical approach to assess this degree of agreement is not obvious. Correlation and regression studies are frequently proposed. However, correlation studies the relationship between one variable and another, not the differences, and it is not recommended as a method for assessing the comparability between methods.
In 1983 Altman and Bland (B&A) proposed an alternative analysis, based on the quantification of the agreement between two quantitative measurements by studying the mean difference and constructing limits of agreement.
The B&A plot analysis is a simple way to evaluate a bias between the mean differences, and to estimate an agreement interval, within which 95% of the differences of the second method, compared to the first one, fall. Data can be analyzed both as unit differences plot and as percentage differences plot.
The B&A plot method only defines the intervals of agreements, it does not say whether those limits are acceptable or not. Acceptable limits must be defined a priori, based on clinical necessity, biological considerations or other goals.
The aim of this article is to provide guidance on the use and interpretation of Bland Altman analysis in method comparison studies.

                Author and article information

                Journal
                Endocr Connect
                Endocr Connect
                EC
                Endocrine Connections
                Bioscientifica Ltd (Bristol )
                2049-3614
                November 2020
                07 October 2020
                : 9
                : 11
                : 1085-1094
                Affiliations
                [1 ]Interdisciplinary Group for Studies of Sex Determination and Differentiation (GIEDDS) , School of Medical Sciences (FCM), State University of Campinas (UNICAMP), Campinas, Sao Paulo, Brazil
                [2 ]Department of Pediatrics , Federal University of Uberlandia (UFU), Uberlandia, Minas Gerais, Brazil
                [3 ]Pediatric Endocrinology Unit , School of Medical Sciences, Irmandade da Santa Casa de Misericordia de Sao Paulo, Sao Paulo, Brazil
                [4 ]Department of Pediatrics , Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil
                [5 ]School of Pharmaceutical Sciences , UNICAMP, Campinas, Sao Paulo, Brazil
                [6 ]Poison Control Center , FCM, UNICAMP, Campinas, Sao Paulo, Brazil
                [7 ]Laboratory of Physiology , Division of Clinical Pathology, Clinical Hospital, UNICAMP, Campinas, Sao Paulo, Brazil
                [8 ]Fleury Group , Sao Paulo, Brazil
                [9 ]Laboratory of Human Molecular Genetics , Center for Molecular Biology and Genetics Engineering (CBMEG), UNICAMP, Campinas, Sao Paulo, Brazil
                [10 ]Department of Pediatrics , FCM, UNICAMP, Campinas, Sao Paulo, Brazil
                [11 ]Department of Medical Genetics and Genomic Medicine , FCM, UNICAMP, Campinas, Sao Paulo, Brazil
                Author notes
                Correspondence should be addressed to G Guerra-Junior: gilguer@ 123456unicamp.br
                Article
                EC-20-0454
                10.1530/EC-20-0454
                7774763
                33112837
                de7c30ef-4433-4f5b-89a8-6856d4042236
                © 2020 The authors

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 15 September 2020
                : 07 October 2020
                Categories
                Research

                testosterone,testicles,androstenedione,androgen insensitivity syndrome,5α-reductase

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