Development of a dried blood spot sampling method towards therapeutic monitoring of radotinib in the treatment of chronic myeloid leukaemia

What is known and objective Dried blood spot (DBS) sampling is a minimally invasive method of blood sampling that enables monitoring of drug concentrations to be more convenient. This study aimed at developing a DBS sampling method for an accurate and precise prediction of radotinib plasma concentra...

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Veröffentlicht in:Journal of clinical pharmacy and therapeutics 2020-10, Vol.45 (5), p.1006-1013
Hauptverfasser: Lee, Jihyun, Jung, Su Young, Choi, Mi‐Yeon, Park, Ji‐su, Park, Su‐kyoung, Lim, Seon‐Ah, Cho, Kyung Hee, Oh, Soo Yeon, Ha, Jungeun, Kim, Dong‐Wook, Lee, Jangik
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container_end_page 1013
container_issue 5
container_start_page 1006
container_title Journal of clinical pharmacy and therapeutics
container_volume 45
creator Lee, Jihyun
Jung, Su Young
Choi, Mi‐Yeon
Park, Ji‐su
Park, Su‐kyoung
Lim, Seon‐Ah
Cho, Kyung Hee
Oh, Soo Yeon
Ha, Jungeun
Kim, Dong‐Wook
Lee, Jangik
description What is known and objective Dried blood spot (DBS) sampling is a minimally invasive method of blood sampling that enables monitoring of drug concentrations to be more convenient. This study aimed at developing a DBS sampling method for an accurate and precise prediction of radotinib plasma concentrations (Cp) in patients with chronic myeloid leukaemia (CML). Methods Dried blood spot and venous blood samples were simultaneously collected from fifty CML patients who had been receiving radotinib for at least a week. Radotinib concentrations were measured using a high‐performance liquid chromatographic method with tandem mass spectrometric detection. Unmeasured Cp was predicted directly based on a Deming regression between DBS concentrations (CDBS) and Cp. Unmeasured Cp was also predicted from CDBS corrected by each patient's haematocrit (Hct). Both prediction methods were evaluated for their accuracy and precision using Deming regression and Bland‐Altman analysis. Results and discussion The Deming regression equation between CDBS and Cp was obtained as follows: Cp = 1.34∙CDBS + 4.26 (r2 = .97). Cp was directly predictable using Cp,pred1 = 1.34∙CDBS + 4.26. With Hct correction, Cp was alternatively predictable using Cp,pred2 = CDBS/ (1–Hct + Hct2). The slopes of Deming regression line between predicted and measured Cp were 0.99 and 1.02 for the direct and Hct‐corrected method, respectively. The mean biases (accuracy) were −0.44% and 1.6% with the 95% limits of agreement (precision) of −22.4% to 21.5% and −20.5% to 23.7%, respectively. More than 93% of predicted and measured Cp pairs had their differences within 20% of the mean of each pair in both methods. What is new and conclusions Radotinib CDBS are highly correlated with radotinib Cp. Radotinib Cp can be accurately and precisely predicted from CDBS using direct or Hct‐corrected prediction methods. Both appear to be appropriate for the therapeutic monitoring of radotinib in patients with CML. Dried blood spot sampling (DBS) method was developed to measure the blood concentrations of radotinib in patients with chronic myeloid leukemia. Plasma concentrations were accurately and preicisely predicted from DBS concentrations using two methods, both of which appear to be appropriate for the therapeutic monitoring of radotinib.
doi_str_mv 10.1111/jcpt.13124
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This study aimed at developing a DBS sampling method for an accurate and precise prediction of radotinib plasma concentrations (Cp) in patients with chronic myeloid leukaemia (CML). Methods Dried blood spot and venous blood samples were simultaneously collected from fifty CML patients who had been receiving radotinib for at least a week. Radotinib concentrations were measured using a high‐performance liquid chromatographic method with tandem mass spectrometric detection. Unmeasured Cp was predicted directly based on a Deming regression between DBS concentrations (CDBS) and Cp. Unmeasured Cp was also predicted from CDBS corrected by each patient's haematocrit (Hct). Both prediction methods were evaluated for their accuracy and precision using Deming regression and Bland‐Altman analysis. Results and discussion The Deming regression equation between CDBS and Cp was obtained as follows: Cp = 1.34∙CDBS + 4.26 (r2 = .97). Cp was directly predictable using Cp,pred1 = 1.34∙CDBS + 4.26. With Hct correction, Cp was alternatively predictable using Cp,pred2 = CDBS/ (1–Hct + Hct2). The slopes of Deming regression line between predicted and measured Cp were 0.99 and 1.02 for the direct and Hct‐corrected method, respectively. The mean biases (accuracy) were −0.44% and 1.6% with the 95% limits of agreement (precision) of −22.4% to 21.5% and −20.5% to 23.7%, respectively. More than 93% of predicted and measured Cp pairs had their differences within 20% of the mean of each pair in both methods. What is new and conclusions Radotinib CDBS are highly correlated with radotinib Cp. Radotinib Cp can be accurately and precisely predicted from CDBS using direct or Hct‐corrected prediction methods. Both appear to be appropriate for the therapeutic monitoring of radotinib in patients with CML. Dried blood spot sampling (DBS) method was developed to measure the blood concentrations of radotinib in patients with chronic myeloid leukemia. Plasma concentrations were accurately and preicisely predicted from DBS concentrations using two methods, both of which appear to be appropriate for the therapeutic monitoring of radotinib.</description><identifier>ISSN: 0269-4727</identifier><identifier>EISSN: 1365-2710</identifier><identifier>DOI: 10.1111/jcpt.13124</identifier><identifier>PMID: 32022312</identifier><language>eng</language><publisher>England: Hindawi Limited</publisher><subject>blood‐to‐plasma ratio ; chronic myeloid leukaemia ; Chronic myeloid leukemia ; dried blood spot sampling ; haematocrit ; Hematocrit ; Leukemia ; Methods ; Predictions ; radotinib ; Sampling</subject><ispartof>Journal of clinical pharmacy and therapeutics, 2020-10, Vol.45 (5), p.1006-1013</ispartof><rights>2020 John Wiley &amp; Sons Ltd</rights><rights>2020 John Wiley &amp; Sons Ltd.</rights><rights>Copyright © 2020 John Wiley &amp; Sons Ltd</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3934-3f16f1fe1edc3a5b4951fe6b79cc07bfc04e49255b0c5bd5987bd1c9846be9ab3</citedby><cites>FETCH-LOGICAL-c3934-3f16f1fe1edc3a5b4951fe6b79cc07bfc04e49255b0c5bd5987bd1c9846be9ab3</cites><orcidid>0000-0002-5565-8323</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjcpt.13124$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjcpt.13124$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32022312$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Jihyun</creatorcontrib><creatorcontrib>Jung, Su Young</creatorcontrib><creatorcontrib>Choi, Mi‐Yeon</creatorcontrib><creatorcontrib>Park, Ji‐su</creatorcontrib><creatorcontrib>Park, Su‐kyoung</creatorcontrib><creatorcontrib>Lim, Seon‐Ah</creatorcontrib><creatorcontrib>Cho, Kyung Hee</creatorcontrib><creatorcontrib>Oh, Soo Yeon</creatorcontrib><creatorcontrib>Ha, Jungeun</creatorcontrib><creatorcontrib>Kim, Dong‐Wook</creatorcontrib><creatorcontrib>Lee, Jangik</creatorcontrib><title>Development of a dried blood spot sampling method towards therapeutic monitoring of radotinib in the treatment of chronic myeloid leukaemia</title><title>Journal of clinical pharmacy and therapeutics</title><addtitle>J Clin Pharm Ther</addtitle><description>What is known and objective Dried blood spot (DBS) sampling is a minimally invasive method of blood sampling that enables monitoring of drug concentrations to be more convenient. This study aimed at developing a DBS sampling method for an accurate and precise prediction of radotinib plasma concentrations (Cp) in patients with chronic myeloid leukaemia (CML). Methods Dried blood spot and venous blood samples were simultaneously collected from fifty CML patients who had been receiving radotinib for at least a week. Radotinib concentrations were measured using a high‐performance liquid chromatographic method with tandem mass spectrometric detection. Unmeasured Cp was predicted directly based on a Deming regression between DBS concentrations (CDBS) and Cp. Unmeasured Cp was also predicted from CDBS corrected by each patient's haematocrit (Hct). Both prediction methods were evaluated for their accuracy and precision using Deming regression and Bland‐Altman analysis. Results and discussion The Deming regression equation between CDBS and Cp was obtained as follows: Cp = 1.34∙CDBS + 4.26 (r2 = .97). Cp was directly predictable using Cp,pred1 = 1.34∙CDBS + 4.26. With Hct correction, Cp was alternatively predictable using Cp,pred2 = CDBS/ (1–Hct + Hct2). The slopes of Deming regression line between predicted and measured Cp were 0.99 and 1.02 for the direct and Hct‐corrected method, respectively. The mean biases (accuracy) were −0.44% and 1.6% with the 95% limits of agreement (precision) of −22.4% to 21.5% and −20.5% to 23.7%, respectively. More than 93% of predicted and measured Cp pairs had their differences within 20% of the mean of each pair in both methods. What is new and conclusions Radotinib CDBS are highly correlated with radotinib Cp. Radotinib Cp can be accurately and precisely predicted from CDBS using direct or Hct‐corrected prediction methods. Both appear to be appropriate for the therapeutic monitoring of radotinib in patients with CML. Dried blood spot sampling (DBS) method was developed to measure the blood concentrations of radotinib in patients with chronic myeloid leukemia. Plasma concentrations were accurately and preicisely predicted from DBS concentrations using two methods, both of which appear to be appropriate for the therapeutic monitoring of radotinib.</description><subject>blood‐to‐plasma ratio</subject><subject>chronic myeloid leukaemia</subject><subject>Chronic myeloid leukemia</subject><subject>dried blood spot sampling</subject><subject>haematocrit</subject><subject>Hematocrit</subject><subject>Leukemia</subject><subject>Methods</subject><subject>Predictions</subject><subject>radotinib</subject><subject>Sampling</subject><issn>0269-4727</issn><issn>1365-2710</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp90ctu1DAUBmALgei0sOEBkCU2qFKKr8l4iYaWiyrBoqwtX04YD0kcbIdqnqEvjYdpWXSBN5atz_-x9CP0ipILWte7nZvLBeWUiSdoRXkrG9ZR8hStCGtVIzrWnaDTnHeEkLZj_Dk64YwwVh-s0N0H-A1DnEeYCo49NtinAB7bIUaP8xwLzmachzD9wCOUbb0s8dYkn3HZQjIzLCU4PMYplJgOqoYk42MJU7A4TAeGSwJTHka4baq6vtnXwcHjAZafBsZgXqBnvRkyvLzfz9D3q8ubzafm-uvHz5v3143jiouG97TtaQ8UvONGWqFkPbW2U86RzvaOCBCKSWmJk9ZLte6sp06tRWtBGcvP0Ntj7pzirwVy0WPIDobBTBCXrBmXVKxpK1Wlbx7RXVzSVH-nmRCkJWvKZFXnR-VSzDlBr-cURpP2mhJ9qEgfKtJ_K6r49X3kYkfw_-hDJxXQI7gNA-z_E6W_bL7dHEP_AG54nr0</recordid><startdate>202010</startdate><enddate>202010</enddate><creator>Lee, Jihyun</creator><creator>Jung, Su Young</creator><creator>Choi, Mi‐Yeon</creator><creator>Park, Ji‐su</creator><creator>Park, Su‐kyoung</creator><creator>Lim, Seon‐Ah</creator><creator>Cho, Kyung Hee</creator><creator>Oh, Soo Yeon</creator><creator>Ha, Jungeun</creator><creator>Kim, Dong‐Wook</creator><creator>Lee, Jangik</creator><general>Hindawi Limited</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7TM</scope><scope>7TO</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5565-8323</orcidid></search><sort><creationdate>202010</creationdate><title>Development of a dried blood spot sampling method towards therapeutic monitoring of radotinib in the treatment of chronic myeloid leukaemia</title><author>Lee, Jihyun ; Jung, Su Young ; Choi, Mi‐Yeon ; Park, Ji‐su ; Park, Su‐kyoung ; Lim, Seon‐Ah ; Cho, Kyung Hee ; Oh, Soo Yeon ; Ha, Jungeun ; Kim, Dong‐Wook ; Lee, Jangik</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3934-3f16f1fe1edc3a5b4951fe6b79cc07bfc04e49255b0c5bd5987bd1c9846be9ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>blood‐to‐plasma ratio</topic><topic>chronic myeloid leukaemia</topic><topic>Chronic myeloid leukemia</topic><topic>dried blood spot sampling</topic><topic>haematocrit</topic><topic>Hematocrit</topic><topic>Leukemia</topic><topic>Methods</topic><topic>Predictions</topic><topic>radotinib</topic><topic>Sampling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Jihyun</creatorcontrib><creatorcontrib>Jung, Su Young</creatorcontrib><creatorcontrib>Choi, Mi‐Yeon</creatorcontrib><creatorcontrib>Park, Ji‐su</creatorcontrib><creatorcontrib>Park, Su‐kyoung</creatorcontrib><creatorcontrib>Lim, Seon‐Ah</creatorcontrib><creatorcontrib>Cho, Kyung Hee</creatorcontrib><creatorcontrib>Oh, Soo Yeon</creatorcontrib><creatorcontrib>Ha, Jungeun</creatorcontrib><creatorcontrib>Kim, Dong‐Wook</creatorcontrib><creatorcontrib>Lee, Jangik</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical pharmacy and therapeutics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Jihyun</au><au>Jung, Su Young</au><au>Choi, Mi‐Yeon</au><au>Park, Ji‐su</au><au>Park, Su‐kyoung</au><au>Lim, Seon‐Ah</au><au>Cho, Kyung Hee</au><au>Oh, Soo Yeon</au><au>Ha, Jungeun</au><au>Kim, Dong‐Wook</au><au>Lee, Jangik</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of a dried blood spot sampling method towards therapeutic monitoring of radotinib in the treatment of chronic myeloid leukaemia</atitle><jtitle>Journal of clinical pharmacy and therapeutics</jtitle><addtitle>J Clin Pharm Ther</addtitle><date>2020-10</date><risdate>2020</risdate><volume>45</volume><issue>5</issue><spage>1006</spage><epage>1013</epage><pages>1006-1013</pages><issn>0269-4727</issn><eissn>1365-2710</eissn><abstract>What is known and objective Dried blood spot (DBS) sampling is a minimally invasive method of blood sampling that enables monitoring of drug concentrations to be more convenient. This study aimed at developing a DBS sampling method for an accurate and precise prediction of radotinib plasma concentrations (Cp) in patients with chronic myeloid leukaemia (CML). Methods Dried blood spot and venous blood samples were simultaneously collected from fifty CML patients who had been receiving radotinib for at least a week. Radotinib concentrations were measured using a high‐performance liquid chromatographic method with tandem mass spectrometric detection. Unmeasured Cp was predicted directly based on a Deming regression between DBS concentrations (CDBS) and Cp. Unmeasured Cp was also predicted from CDBS corrected by each patient's haematocrit (Hct). Both prediction methods were evaluated for their accuracy and precision using Deming regression and Bland‐Altman analysis. Results and discussion The Deming regression equation between CDBS and Cp was obtained as follows: Cp = 1.34∙CDBS + 4.26 (r2 = .97). Cp was directly predictable using Cp,pred1 = 1.34∙CDBS + 4.26. With Hct correction, Cp was alternatively predictable using Cp,pred2 = CDBS/ (1–Hct + Hct2). The slopes of Deming regression line between predicted and measured Cp were 0.99 and 1.02 for the direct and Hct‐corrected method, respectively. The mean biases (accuracy) were −0.44% and 1.6% with the 95% limits of agreement (precision) of −22.4% to 21.5% and −20.5% to 23.7%, respectively. More than 93% of predicted and measured Cp pairs had their differences within 20% of the mean of each pair in both methods. What is new and conclusions Radotinib CDBS are highly correlated with radotinib Cp. Radotinib Cp can be accurately and precisely predicted from CDBS using direct or Hct‐corrected prediction methods. Both appear to be appropriate for the therapeutic monitoring of radotinib in patients with CML. Dried blood spot sampling (DBS) method was developed to measure the blood concentrations of radotinib in patients with chronic myeloid leukemia. Plasma concentrations were accurately and preicisely predicted from DBS concentrations using two methods, both of which appear to be appropriate for the therapeutic monitoring of radotinib.</abstract><cop>England</cop><pub>Hindawi Limited</pub><pmid>32022312</pmid><doi>10.1111/jcpt.13124</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-5565-8323</orcidid><oa>free_for_read</oa></addata></record>
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source Wiley Online Library Journals Frontfile Complete
subjects blood‐to‐plasma ratio
chronic myeloid leukaemia
Chronic myeloid leukemia
dried blood spot sampling
haematocrit
Hematocrit
Leukemia
Methods
Predictions
radotinib
Sampling
title Development of a dried blood spot sampling method towards therapeutic monitoring of radotinib in the treatment of chronic myeloid leukaemia
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