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%2F61389030%3A_____%2F19%3A00512143" target="_blank" >RIV/61389030:_____/19:00512143 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11130/19:10400195 RIV/00098892:_____/19:N0000093 RIV/00064203:_____/19:10400195 RIV/61989592:15110/19:73599084 RIV/61989592:15310/19:73599084
Result on the web
<a href="http://dx.doi.org/10.1097/MPG.0000000000002436" target="_blank" >http://dx.doi.org/10.1097/MPG.0000000000002436</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 <125 pmol/8 × 108 erythrocytes and 6-methylmercaptopurine levels <5700 pmol/8 × 108 erythrocytes. Nonadherence was defined as undetectable levels of 6-thioguanine and 6-methylmercaptopurine <240 pmol/8 × 108 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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30402 - Technologies involving the manipulation of cells, tissues, organs or the whole organism (assisted reproduction)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000868" target="_blank" >EF16_019/0000868: Molecular, cellular and clinical approach to healthy ageing</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
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
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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