Abdullah Alsultan, Razan Almofada, Sufyan Alomair, Eric F Egelund, Ahmed A Albassam, Mohammed Ali, Charles A Peloquin, Khalid W Taher
{"title":"评估在线伏立康唑剂量计算器对儿童的预测性能。","authors":"Abdullah Alsultan, Razan Almofada, Sufyan Alomair, Eric F Egelund, Ahmed A Albassam, Mohammed Ali, Charles A Peloquin, Khalid W Taher","doi":"10.1007/s00228-024-03762-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The dosing of voriconazole is challenging in pediatrics. One approach to improve the dosing is through the use of Bayesian concentration-guided dosing software. Our study assessed the predictive performance of a freely available online voriconazole dose calculator in pediatric patients \"NextDose\" ( https://www.nextdose.org/ ).</p><p><strong>Methods: </strong>Per each dose calculator, we predicted voriconazole concentrations. We did both a priori and a posteriori Bayesian predictions.</p><p><strong>Results: </strong>A total of 51 patients were included in this study. For a priori predictions, bias was + 26% while imprecision was 70%. For a posteriori predictions, bias and imprecision were 0.01% and 46%.</p><p><strong>Discussion: </strong>In conclusion, the available online dose calculator was overpredicting the concentrations before voriconazole observations were available. However, with just one measured concentration, the predictions improved with minimal bias and an acceptable level of imprecision. There is a need for more prospective studies evaluating the use of voriconazole dosing calculators in the pediatric population to assess if they can improve the achievement of therapeutic target concentrations compared to standard of care.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of the predictive performance of an online voriconazole dose calculator in children.\",\"authors\":\"Abdullah Alsultan, Razan Almofada, Sufyan Alomair, Eric F Egelund, Ahmed A Albassam, Mohammed Ali, Charles A Peloquin, Khalid W Taher\",\"doi\":\"10.1007/s00228-024-03762-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The dosing of voriconazole is challenging in pediatrics. One approach to improve the dosing is through the use of Bayesian concentration-guided dosing software. Our study assessed the predictive performance of a freely available online voriconazole dose calculator in pediatric patients \\\"NextDose\\\" ( https://www.nextdose.org/ ).</p><p><strong>Methods: </strong>Per each dose calculator, we predicted voriconazole concentrations. We did both a priori and a posteriori Bayesian predictions.</p><p><strong>Results: </strong>A total of 51 patients were included in this study. For a priori predictions, bias was + 26% while imprecision was 70%. For a posteriori predictions, bias and imprecision were 0.01% and 46%.</p><p><strong>Discussion: </strong>In conclusion, the available online dose calculator was overpredicting the concentrations before voriconazole observations were available. However, with just one measured concentration, the predictions improved with minimal bias and an acceptable level of imprecision. There is a need for more prospective studies evaluating the use of voriconazole dosing calculators in the pediatric population to assess if they can improve the achievement of therapeutic target concentrations compared to standard of care.</p>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s00228-024-03762-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/26 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00228-024-03762-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/26 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Evaluation of the predictive performance of an online voriconazole dose calculator in children.
Background: The dosing of voriconazole is challenging in pediatrics. One approach to improve the dosing is through the use of Bayesian concentration-guided dosing software. Our study assessed the predictive performance of a freely available online voriconazole dose calculator in pediatric patients "NextDose" ( https://www.nextdose.org/ ).
Methods: Per each dose calculator, we predicted voriconazole concentrations. We did both a priori and a posteriori Bayesian predictions.
Results: A total of 51 patients were included in this study. For a priori predictions, bias was + 26% while imprecision was 70%. For a posteriori predictions, bias and imprecision were 0.01% and 46%.
Discussion: In conclusion, the available online dose calculator was overpredicting the concentrations before voriconazole observations were available. However, with just one measured concentration, the predictions improved with minimal bias and an acceptable level of imprecision. There is a need for more prospective studies evaluating the use of voriconazole dosing calculators in the pediatric population to assess if they can improve the achievement of therapeutic target concentrations compared to standard of care.