In Hwan Jeong, Sooyoon Ryu, Nayoung Han, Christine E Staatz, In-Hwan Baek
{"title":"替米沙坦在健康人群和高血压患者中的人群药代动力学。","authors":"In Hwan Jeong, Sooyoon Ryu, Nayoung Han, Christine E Staatz, In-Hwan Baek","doi":"10.1007/s40262-024-01471-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and objective: </strong>Telmisartan exhibits significant pharmacokinetic (PK) variability, but it remains unclear whether its PK profile is altered in hypertensive patients. This study aimed to characterize telmisartan PKs by conducting a meta-analysis and developing a pooled population PK model based on data from healthy subjects and hypertensive patients.</p><p><strong>Methods: </strong>Relevant literature was identified by a systematic approach. Eighteen studies were selected for analysis, which included 394 healthy subjects receiving single doses of telmisartan, 190 healthy subjects receiving repeated doses, along with 295 hypertensive patients receiving repeated doses. Pooled population PK analysis incorporated 20 mean concentration-time profiles from 14 studies. Meta-analyses were performed using OpenMeta-Analyst, and population PK modeling was performed using NONMEM<sup>®</sup>.</p><p><strong>Results: </strong>Repeated telmisartan doses increased peak plasma concentrations. However, other noncompartmental PK parameters remained consistent across healthy and hypertensive populations. Telmisartan PKs were best described using a two-compartment model with first-order absorption and elimination in pooled analysis. Typical PK parameter values for apparent clearance (CL/F), apparent central and peripheral volumes of distribution (V<sub>1</sub>/F and V<sub>2</sub>/F), absorption rate constant (k<sub>a</sub>), and absorption lag time were 18.3 L/h, 20.7 L, 360 L, 0.183 h<sup>-1</sup> and 0.228 h, respectively. Interindividual variabilities in CL/F, V<sub>1</sub>/F, and k<sub>a</sub> were 84%, 122%, and 106%, respectively. Covariate analysis revealed significantly lower CL/F (63.7%) and V<sub>1</sub>/F (90.3%) values in hypertensive patients than healthy subjects.</p><p><strong>Conclusion: </strong>These findings quantified the variability of telmisartan PK profile and highlighted the differences between healthy individuals and hypertensive patients, suggesting the need for optimized dosage strategies to improve therapeutic outcomes.</p>","PeriodicalId":10405,"journal":{"name":"Clinical Pharmacokinetics","volume":" ","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Population Pharmacokinetics of Telmisartan in Healthy Subjects and Hypertensive Patients.\",\"authors\":\"In Hwan Jeong, Sooyoon Ryu, Nayoung Han, Christine E Staatz, In-Hwan Baek\",\"doi\":\"10.1007/s40262-024-01471-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and objective: </strong>Telmisartan exhibits significant pharmacokinetic (PK) variability, but it remains unclear whether its PK profile is altered in hypertensive patients. This study aimed to characterize telmisartan PKs by conducting a meta-analysis and developing a pooled population PK model based on data from healthy subjects and hypertensive patients.</p><p><strong>Methods: </strong>Relevant literature was identified by a systematic approach. Eighteen studies were selected for analysis, which included 394 healthy subjects receiving single doses of telmisartan, 190 healthy subjects receiving repeated doses, along with 295 hypertensive patients receiving repeated doses. Pooled population PK analysis incorporated 20 mean concentration-time profiles from 14 studies. Meta-analyses were performed using OpenMeta-Analyst, and population PK modeling was performed using NONMEM<sup>®</sup>.</p><p><strong>Results: </strong>Repeated telmisartan doses increased peak plasma concentrations. However, other noncompartmental PK parameters remained consistent across healthy and hypertensive populations. Telmisartan PKs were best described using a two-compartment model with first-order absorption and elimination in pooled analysis. Typical PK parameter values for apparent clearance (CL/F), apparent central and peripheral volumes of distribution (V<sub>1</sub>/F and V<sub>2</sub>/F), absorption rate constant (k<sub>a</sub>), and absorption lag time were 18.3 L/h, 20.7 L, 360 L, 0.183 h<sup>-1</sup> and 0.228 h, respectively. Interindividual variabilities in CL/F, V<sub>1</sub>/F, and k<sub>a</sub> were 84%, 122%, and 106%, respectively. Covariate analysis revealed significantly lower CL/F (63.7%) and V<sub>1</sub>/F (90.3%) values in hypertensive patients than healthy subjects.</p><p><strong>Conclusion: </strong>These findings quantified the variability of telmisartan PK profile and highlighted the differences between healthy individuals and hypertensive patients, suggesting the need for optimized dosage strategies to improve therapeutic outcomes.</p>\",\"PeriodicalId\":10405,\"journal\":{\"name\":\"Clinical Pharmacokinetics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-01-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Pharmacokinetics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s40262-024-01471-3\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Pharmacokinetics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s40262-024-01471-3","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
Population Pharmacokinetics of Telmisartan in Healthy Subjects and Hypertensive Patients.
Background and objective: Telmisartan exhibits significant pharmacokinetic (PK) variability, but it remains unclear whether its PK profile is altered in hypertensive patients. This study aimed to characterize telmisartan PKs by conducting a meta-analysis and developing a pooled population PK model based on data from healthy subjects and hypertensive patients.
Methods: Relevant literature was identified by a systematic approach. Eighteen studies were selected for analysis, which included 394 healthy subjects receiving single doses of telmisartan, 190 healthy subjects receiving repeated doses, along with 295 hypertensive patients receiving repeated doses. Pooled population PK analysis incorporated 20 mean concentration-time profiles from 14 studies. Meta-analyses were performed using OpenMeta-Analyst, and population PK modeling was performed using NONMEM®.
Results: Repeated telmisartan doses increased peak plasma concentrations. However, other noncompartmental PK parameters remained consistent across healthy and hypertensive populations. Telmisartan PKs were best described using a two-compartment model with first-order absorption and elimination in pooled analysis. Typical PK parameter values for apparent clearance (CL/F), apparent central and peripheral volumes of distribution (V1/F and V2/F), absorption rate constant (ka), and absorption lag time were 18.3 L/h, 20.7 L, 360 L, 0.183 h-1 and 0.228 h, respectively. Interindividual variabilities in CL/F, V1/F, and ka were 84%, 122%, and 106%, respectively. Covariate analysis revealed significantly lower CL/F (63.7%) and V1/F (90.3%) values in hypertensive patients than healthy subjects.
Conclusion: These findings quantified the variability of telmisartan PK profile and highlighted the differences between healthy individuals and hypertensive patients, suggesting the need for optimized dosage strategies to improve therapeutic outcomes.
期刊介绍:
Clinical Pharmacokinetics promotes the continuing development of clinical pharmacokinetics and pharmacodynamics for the improvement of drug therapy, and for furthering postgraduate education in clinical pharmacology and therapeutics.
Pharmacokinetics, the study of drug disposition in the body, is an integral part of drug development and rational use. Knowledge and application of pharmacokinetic principles leads to accelerated drug development, cost effective drug use and a reduced frequency of adverse effects and drug interactions.