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Prediction of Thiopurine Metabolite Levels Based on Haematological and Biochemical Parameters

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F19%3A73599084" target="_blank" >RIV/61989592:15110/19:73599084 - isvavai.cz</a>

  • Alternative codes found

    RIV/61389030:_____/19:00512143 RIV/00216208:11130/19:10400195 RIV/00098892:_____/19:N0000093 RIV/00064203:_____/19:10400195 RIV/61989592:15310/19:73599084

  • Result on the web

    <a href="https://insights.ovid.com/crossref?an=00005176-201910000-00018" target="_blank" >https://insights.ovid.com/crossref?an=00005176-201910000-00018</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1097/MPG.0000000000002436" target="_blank" >10.1097/MPG.0000000000002436</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Prediction of Thiopurine Metabolite Levels Based on Haematological and Biochemical Parameters

  • Original language description

    Objectives: Therapeutic drug monitoring of thiopurine erythrocyte levels is not available in all centers and it usually requires quite a long time to obtain the results. The aims of this study were to build a model predicting low levels of 6-thioguanine and 6-methylmercaptopurine in pediatric inflammatory bowel disease (IBD) patients and to build a model to predict nonadherence in patients treated with azathioprine (AZA). Methods: The study consisted of 332 observations in 88 pediatric IBD patients. Low AZA dosing was defined as 6-thioguanine levels &lt;125 pmol/8 x 10(8) erythrocytes and 6-methylmercaptopurine levels &lt;5700 pmol/8 x 10(8) erythrocytes. Nonadherence was defined as undetectable levels of 6-thioguanine and 6-methylmercaptopurine &lt;240 pmol/8 x 10(8) erythrocytes. Data were divided into training and testing part. To construct the model predicting low 6-thioguanine levels, nonadherence, and the level of 6-thioguanine, the modification of random forest method with cross-validation and resampling was used. Results: The final models predicting low 6-thioguanine levels and nonadherence had area under the curve, 0.87 and 0.94; sensitivity, 0.81 and 0.82; specificity, 0.80 and 86; and distance, 0.31 and 0.21, respectively, when applied on the testing part of the dataset. When the final model for prediction of 6-thioguanine values was applied on testing dataset, a root-mean-square error of 110 was obtained. Conclusions: Using easily obtained laboratory parameters, we constructed a model with sufficient accuracy to predict patients with low 6-thioguanine levels and a model for prediction of AZA treatment nonadherence (web applications: https://hradskyo.shinyapps.io/6TG_prediction/ and https://hradskyo.shinyapps.io/Non_adherence/).

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    30104 - Pharmacology and pharmacy

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    JOURNAL OF PEDIATRIC GASTROENTEROLOGY AND NUTRITION

  • ISSN

    0277-2116

  • e-ISSN

  • Volume of the periodical

    69

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    6

  • Pages from-to

    "E105"-"E110"

  • UT code for WoS article

    000506845100003

  • EID of the result in the Scopus database

    2-s2.0-85072193210