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Clinical Predictors and Prediction Models for rFVIII-Fc Half Life in Real-World People with Severe Hemophilia A

The half life of recombinant factor VIII-Fc (rFVIII-Fc) for people with hemophilia A (PwHA) varies greatly. Understanding the factors influencing the variation and assessment of rFVIII-Fc half life is important for personalized treatment. Eighty-five severe-type PwHA with rFVIII-Fc treatment receivi...

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Published in:Journal of clinical medicine 2023-03, Vol.12 (6), p.2207
Main Authors: Chang, Chia-Yau, Chiou, Shyh-Shin, Weng, Te-Fu, Lin, Pei-Chin, Lai, Shiue-Wei, Tsai, Chen-Hua, Liu, Yen-Lin, Ku, Jung-Tzu, Liao, Yu-Mei, Tsai, Jia-Ruey, Hu, Shu-Hsia, Cheng, Chao-Neng, Chen, Yeu-Chin
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creator Chang, Chia-Yau
Chiou, Shyh-Shin
Weng, Te-Fu
Lin, Pei-Chin
Lai, Shiue-Wei
Tsai, Chen-Hua
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Ku, Jung-Tzu
Liao, Yu-Mei
Tsai, Jia-Ruey
Hu, Shu-Hsia
Cheng, Chao-Neng
Chen, Yeu-Chin
description The half life of recombinant factor VIII-Fc (rFVIII-Fc) for people with hemophilia A (PwHA) varies greatly. Understanding the factors influencing the variation and assessment of rFVIII-Fc half life is important for personalized treatment. Eighty-five severe-type PwHA with rFVIII-Fc treatment receiving an evaluation of half life by the Web-Accessible Population Pharmacokinetic (PK) Service-Hemophilia during 2019-2021 were retrospectively enrolled. The 50-patient PK profiles before 2021 were used for analysis and developing prediction models of half life, and the 35-patient PK profiles in 2021 were used for external validation. The patients in the development cohort were aged 8-64, with a median rFVIII-Fc half life of 20.75 h (range, 8.25-41.5 h). By multivariate linear regression analysis, we found two, four, and five predictors of rFVIII-Fc half life for the blood groups non-O, O patients, and overall patients, respectively, including baseline VWF:Ag, BMI, VWF:activity/VWF:Ag ratio, body weight, O blood group, inhibitor history, HCV infection, and hematocrit. The three prediction equations of rFVIII-Fc half life (T) were respectively developed as T for non-O group patients = -0.81 + 0.63 × (BMI, kg/m ) + 6.07 × (baseline VWF:Ag, IU/mL), T for O group patients = -0.68 + 13.30 × (baseline VWF:Ag, IU/mL) + 0.27 × (BW, kg) - 1.17 × (BMI, kg/m ) + 16.02 × (VWF:activity/VWF:Ag ratio), and T for overall patients = -1.76 + 7.24 × (baseline VWF:Ag, IU/mL) - 3.84 × (Inhibitor history) + 2.99 × (HCV infection) - 2.83 × (O blood group) + 0.30 × (Hct, %), which explained 51.97%, 75.17%, and 66.38% of the half life variability, respectively. For external validation, there was a significant correlation between the predicted and observed half lives in the validation cohort. The median half life deviation was +1.53 h, +1.28 h, and +1.79 h for the equations of non-O group, O group, and overall group patients, respectively. In total, eight predictors influencing rFVIII-Fc half life were identified. Prediction equations of rFVIII-Fc half life were developed for the non-O and O blood groups and overall PwHA with a good degree of external validation. The equations could be applied to patients aged 8-64 without the need for PK blood sampling and clinically valuable for personalized therapy.
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Understanding the factors influencing the variation and assessment of rFVIII-Fc half life is important for personalized treatment. Eighty-five severe-type PwHA with rFVIII-Fc treatment receiving an evaluation of half life by the Web-Accessible Population Pharmacokinetic (PK) Service-Hemophilia during 2019-2021 were retrospectively enrolled. The 50-patient PK profiles before 2021 were used for analysis and developing prediction models of half life, and the 35-patient PK profiles in 2021 were used for external validation. The patients in the development cohort were aged 8-64, with a median rFVIII-Fc half life of 20.75 h (range, 8.25-41.5 h). By multivariate linear regression analysis, we found two, four, and five predictors of rFVIII-Fc half life for the blood groups non-O, O patients, and overall patients, respectively, including baseline VWF:Ag, BMI, VWF:activity/VWF:Ag ratio, body weight, O blood group, inhibitor history, HCV infection, and hematocrit. The three prediction equations of rFVIII-Fc half life (T) were respectively developed as T for non-O group patients = -0.81 + 0.63 × (BMI, kg/m ) + 6.07 × (baseline VWF:Ag, IU/mL), T for O group patients = -0.68 + 13.30 × (baseline VWF:Ag, IU/mL) + 0.27 × (BW, kg) - 1.17 × (BMI, kg/m ) + 16.02 × (VWF:activity/VWF:Ag ratio), and T for overall patients = -1.76 + 7.24 × (baseline VWF:Ag, IU/mL) - 3.84 × (Inhibitor history) + 2.99 × (HCV infection) - 2.83 × (O blood group) + 0.30 × (Hct, %), which explained 51.97%, 75.17%, and 66.38% of the half life variability, respectively. For external validation, there was a significant correlation between the predicted and observed half lives in the validation cohort. The median half life deviation was +1.53 h, +1.28 h, and +1.79 h for the equations of non-O group, O group, and overall group patients, respectively. In total, eight predictors influencing rFVIII-Fc half life were identified. Prediction equations of rFVIII-Fc half life were developed for the non-O and O blood groups and overall PwHA with a good degree of external validation. The equations could be applied to patients aged 8-64 without the need for PK blood sampling and clinically valuable for personalized therapy.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm12062207</identifier><identifier>PMID: 36983209</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Blood ; Blood coagulation factor VIII ; Blood groups ; Care and treatment ; Chemical properties ; Clinical medicine ; Disease prevention ; Half-life (Nuclear physics) ; Hemophilia ; HIV ; Human immunodeficiency virus ; Medical examination ; Patients ; Pharmacology, Experimental ; Recombinant proteins ; Regression analysis</subject><ispartof>Journal of clinical medicine, 2023-03, Vol.12 (6), p.2207</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c435t-ea905ac8cee49cc5a0b6ba5a0cc666172ee206e8f61e7486ad32fdba45b6c33f3</cites><orcidid>0000-0001-7639-9116 ; 0000-0003-3487-9511 ; 0000-0002-0408-2993 ; 0000-0002-7571-3123</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2791651435/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2791651435?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36983209$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chang, Chia-Yau</creatorcontrib><creatorcontrib>Chiou, Shyh-Shin</creatorcontrib><creatorcontrib>Weng, Te-Fu</creatorcontrib><creatorcontrib>Lin, Pei-Chin</creatorcontrib><creatorcontrib>Lai, Shiue-Wei</creatorcontrib><creatorcontrib>Tsai, Chen-Hua</creatorcontrib><creatorcontrib>Liu, Yen-Lin</creatorcontrib><creatorcontrib>Ku, Jung-Tzu</creatorcontrib><creatorcontrib>Liao, Yu-Mei</creatorcontrib><creatorcontrib>Tsai, Jia-Ruey</creatorcontrib><creatorcontrib>Hu, Shu-Hsia</creatorcontrib><creatorcontrib>Cheng, Chao-Neng</creatorcontrib><creatorcontrib>Chen, Yeu-Chin</creatorcontrib><title>Clinical Predictors and Prediction Models for rFVIII-Fc Half Life in Real-World People with Severe Hemophilia A</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>The half life of recombinant factor VIII-Fc (rFVIII-Fc) for people with hemophilia A (PwHA) varies greatly. Understanding the factors influencing the variation and assessment of rFVIII-Fc half life is important for personalized treatment. Eighty-five severe-type PwHA with rFVIII-Fc treatment receiving an evaluation of half life by the Web-Accessible Population Pharmacokinetic (PK) Service-Hemophilia during 2019-2021 were retrospectively enrolled. The 50-patient PK profiles before 2021 were used for analysis and developing prediction models of half life, and the 35-patient PK profiles in 2021 were used for external validation. The patients in the development cohort were aged 8-64, with a median rFVIII-Fc half life of 20.75 h (range, 8.25-41.5 h). By multivariate linear regression analysis, we found two, four, and five predictors of rFVIII-Fc half life for the blood groups non-O, O patients, and overall patients, respectively, including baseline VWF:Ag, BMI, VWF:activity/VWF:Ag ratio, body weight, O blood group, inhibitor history, HCV infection, and hematocrit. The three prediction equations of rFVIII-Fc half life (T) were respectively developed as T for non-O group patients = -0.81 + 0.63 × (BMI, kg/m ) + 6.07 × (baseline VWF:Ag, IU/mL), T for O group patients = -0.68 + 13.30 × (baseline VWF:Ag, IU/mL) + 0.27 × (BW, kg) - 1.17 × (BMI, kg/m ) + 16.02 × (VWF:activity/VWF:Ag ratio), and T for overall patients = -1.76 + 7.24 × (baseline VWF:Ag, IU/mL) - 3.84 × (Inhibitor history) + 2.99 × (HCV infection) - 2.83 × (O blood group) + 0.30 × (Hct, %), which explained 51.97%, 75.17%, and 66.38% of the half life variability, respectively. For external validation, there was a significant correlation between the predicted and observed half lives in the validation cohort. The median half life deviation was +1.53 h, +1.28 h, and +1.79 h for the equations of non-O group, O group, and overall group patients, respectively. In total, eight predictors influencing rFVIII-Fc half life were identified. 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The equations could be applied to patients aged 8-64 without the need for PK blood sampling and clinically valuable for personalized therapy.</description><subject>Blood</subject><subject>Blood coagulation factor VIII</subject><subject>Blood groups</subject><subject>Care and treatment</subject><subject>Chemical properties</subject><subject>Clinical medicine</subject><subject>Disease prevention</subject><subject>Half-life (Nuclear physics)</subject><subject>Hemophilia</subject><subject>HIV</subject><subject>Human immunodeficiency virus</subject><subject>Medical examination</subject><subject>Patients</subject><subject>Pharmacology, Experimental</subject><subject>Recombinant proteins</subject><subject>Regression analysis</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNptkttrHCEUxqW0NCHJU9-DkJdCmcTLjDPzFJalm13Y0NLrozjOMevi6FZnU_LfxyWXbkIVPOr5nU8-OQh9oOSc85ZcrPVAGRGMkfoNOsxrXRDe8Ld7-wN0ktKa5NE0JaP1e3TARdtwRtpDFKbOequVw18j9FaPISasfP90tMHj69CDS9iEiOPs12KxKGYaz5UzeGkNYOvxN1Cu-B2iy3UQNg7wXzuu8He4hQh4DkPYrKyzCk-O0TujXIKTx3iEfs4-_5jOi-WXq8V0six0yauxANWSSulGA5St1pUinehUDloLIWjNALJraIygUJeNUD1npu9UWXVCc274Ebp80N1suwF6DX6MyslNtIOKdzIoK19mvF3Jm3ArKSEVZ6zNCh8fFWL4s4U0ysEmDc4pD2GbJKtbVhFOW5HRs1foOmyjz_52FBUVzab-UTfKgbTehPyw3onKSZ2VCK1pk6nz_1B59jBYHTwYm-9fFHx6KNAxpBTBPJukRO56RO71SKZP9__lmX3qCH4PueC1ag</recordid><startdate>20230313</startdate><enddate>20230313</enddate><creator>Chang, Chia-Yau</creator><creator>Chiou, Shyh-Shin</creator><creator>Weng, Te-Fu</creator><creator>Lin, Pei-Chin</creator><creator>Lai, Shiue-Wei</creator><creator>Tsai, Chen-Hua</creator><creator>Liu, Yen-Lin</creator><creator>Ku, Jung-Tzu</creator><creator>Liao, Yu-Mei</creator><creator>Tsai, Jia-Ruey</creator><creator>Hu, Shu-Hsia</creator><creator>Cheng, Chao-Neng</creator><creator>Chen, Yeu-Chin</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7639-9116</orcidid><orcidid>https://orcid.org/0000-0003-3487-9511</orcidid><orcidid>https://orcid.org/0000-0002-0408-2993</orcidid><orcidid>https://orcid.org/0000-0002-7571-3123</orcidid></search><sort><creationdate>20230313</creationdate><title>Clinical Predictors and Prediction Models for rFVIII-Fc Half Life in Real-World People with Severe Hemophilia A</title><author>Chang, Chia-Yau ; 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Understanding the factors influencing the variation and assessment of rFVIII-Fc half life is important for personalized treatment. Eighty-five severe-type PwHA with rFVIII-Fc treatment receiving an evaluation of half life by the Web-Accessible Population Pharmacokinetic (PK) Service-Hemophilia during 2019-2021 were retrospectively enrolled. The 50-patient PK profiles before 2021 were used for analysis and developing prediction models of half life, and the 35-patient PK profiles in 2021 were used for external validation. The patients in the development cohort were aged 8-64, with a median rFVIII-Fc half life of 20.75 h (range, 8.25-41.5 h). By multivariate linear regression analysis, we found two, four, and five predictors of rFVIII-Fc half life for the blood groups non-O, O patients, and overall patients, respectively, including baseline VWF:Ag, BMI, VWF:activity/VWF:Ag ratio, body weight, O blood group, inhibitor history, HCV infection, and hematocrit. The three prediction equations of rFVIII-Fc half life (T) were respectively developed as T for non-O group patients = -0.81 + 0.63 × (BMI, kg/m ) + 6.07 × (baseline VWF:Ag, IU/mL), T for O group patients = -0.68 + 13.30 × (baseline VWF:Ag, IU/mL) + 0.27 × (BW, kg) - 1.17 × (BMI, kg/m ) + 16.02 × (VWF:activity/VWF:Ag ratio), and T for overall patients = -1.76 + 7.24 × (baseline VWF:Ag, IU/mL) - 3.84 × (Inhibitor history) + 2.99 × (HCV infection) - 2.83 × (O blood group) + 0.30 × (Hct, %), which explained 51.97%, 75.17%, and 66.38% of the half life variability, respectively. For external validation, there was a significant correlation between the predicted and observed half lives in the validation cohort. The median half life deviation was +1.53 h, +1.28 h, and +1.79 h for the equations of non-O group, O group, and overall group patients, respectively. In total, eight predictors influencing rFVIII-Fc half life were identified. 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subjects Blood
Blood coagulation factor VIII
Blood groups
Care and treatment
Chemical properties
Clinical medicine
Disease prevention
Half-life (Nuclear physics)
Hemophilia
HIV
Human immunodeficiency virus
Medical examination
Patients
Pharmacology, Experimental
Recombinant proteins
Regression analysis
title Clinical Predictors and Prediction Models for rFVIII-Fc Half Life in Real-World People with Severe Hemophilia A
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