Prediction of Thiopurine Metabolite Levels Based on Haematological and Biochemical Parameters

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Prediction of Thiopurine Metabolite Levels Based on Haematological and Biochemical Parameters

Popis výsledku v původním jazyce

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/).

Název v anglickém jazyce

Prediction of Thiopurine Metabolite Levels Based on Haematological and Biochemical Parameters

Popis výsledku anglicky

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/).

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

30104 - Pharmacology and pharmacy

Projekt

—

Návaznosti

—

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

JOURNAL OF PEDIATRIC GASTROENTEROLOGY AND NUTRITION

ISSN

0277-2116

e-ISSN

—

Svazek periodika

69

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

6

Strana od-do

"E105"-"E110"

Kód UT WoS článku

000506845100003

EID výsledku v databázi Scopus

2-s2.0-85072193210