National Taiwan University Hospital Yun_Lin Branch
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 600
- 主要终点
- use population pharmacokinetics model to find out the risk factors
研究概览
简要总结
Model Informed Precision Dosing (MIPD) integrates clinical data to optimize dosing for patients with unstable pharmacokinetics, like those with hematologic malignancies or critical illnesses. This study aims to create a pharmacokinetic model for teicoplanin, addressing complex dosing challenges and improving therapeutic outcomes through MIPD-driven recommendations.
详细描述
In recent years, there has been a trend towards not only monitoring drug concentrations but also incorporating clinically significant data into mathematical models to provide recommended dosages with improvement of clinical treatment outcomes, known as Model Informed Precision Dosing (MIPD). The purpose of MIPD is to address the challenges faced by patients with unstable pharmacokinetics, such as those with hematologic malignancies or critical illnesses. These patients often struggle to achieve stable drug concentrations due to various factors, leading to suboptimal therapeutic effects. Both hematologic malignancy and critically ill patients are prone to infections. Since pathogens are difficult to diagnose early, the primary strategy is to administer broad-spectrum antibiotics that cover Gram-positive bacterial infections. Teicoplanin, a glycopeptide antibiotic, is used to treat infections caused by Gram-positive bacteria, including Staphylococcus aureus. However, due to its long elimination half-life (83~182 hours), It has been a clinical challenge to determine the appropriate dosage. Additionally, these two patient groups often exhibit hypoalbuminemia and unstable renal function. Since teicoplanin is highly protein-bound (90-95% bound) and primarily excreted by the kidneys (97% excretion), optimal dosing recommendations require therapeutic monitoring to achieve better treatment outcomes.
Recommended target of therapeutic drug monitoring was established by the Japanese Society of Infectious Diseases in 2022. The targeted pharmacokinetic pharmacodynamic parameter is the 24 hours area under the curve to minimum inhibitory concentration (AUC24/MIC). Since MIPD software to estimate AUC of teicoplanin is not available in many institutions, achieving the trough level target is recommended. Our previous study found that, following a loading dose regimen of 12 mg/kg/dose every 12 hours for three doses, followed by a fourth dose at the 24th hour, hematologic malignancy patients achieved the best therapeutic effect if the trough level reached ≥18.85 mcg/ml at 48 hours.
This research aims to retrospectively construct a population pharmacokinetic model by using data from hematologic malignancy patients. Moreover, it will prospectively apply MIPD concept to provide optimal clinical dosage recommendations for hematologic malignancy or critically ill patients and subsequently analyzing the outcomes.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Prospective
入排标准
- 年龄范围
- 20 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adult patients aged over 20 diagnosed with hematologic malignancy or critical illness.
- •Clinically require teicoplanin for treating fever with suspected Gram-positive bacterial infection for more than 48 hours.
排除标准
- •Adult patients without hematologic malignancy or critical illness.
- •Patients not using teicoplanin for fever with suspected Gram-positive bacterial infection.
- •patients receiving renal dialysis within 48 hours of starting teicoplanin.
- •Patients treated with teicoplanin for less than 48 hours.
- •Pregnant women.
结局指标
主要结局
use population pharmacokinetics model to find out the risk factors
时间窗: From enrollment to the end of treatment at last 2 weeks
次要结局
未报告次要终点
