Meropenem Dosage Strategy Based on PPK Model

NCT ID: NCT01944319

Last Updated: 2016-02-25

Study Results

Results available

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

PHASE4

Total Enrollment

79 participants

Study Classification

INTERVENTIONAL

Study Start Date

2013-07-31

Study Completion Date

2015-10-31

Brief Summary

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To evaluate the clinical and economical benefits of a meropenem dosage strategy based on a population pharmacokinetic(PPK)-pharmacodynamic(PD) model in lower respiratory tract infection patients.

Detailed Description

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* Subjects:lower respiratory tract infection patients
* Study design:randomized control study.The patients in study group will accept meropenem therapy with the regimen decided by a software developed from a PPK-PD model. The patients in control group will accept meropenem therapy with the regimen decided by attending physician.
* Primary endpoint: clinical successful rate of meropenem therapy. The clinical efficiency of meropenem therapy will be evaluated one week later from stop of meropenem therapy.
* Second endpoint: amount of used antibiotics and bacteriological successful rate.

Conditions

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Lower Respiratory Tract Infection

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Control group

The participants in control group will accept routine meropenem therapy

Group Type ACTIVE_COMPARATOR

Routine meropenem therapy

Intervention Type DRUG

Participants in control group will accept meropenem therapy with regimen routinely decided by attending physician

Study group

The participants in study group will accept meropenem therapy based on a PPK and PD model.

Group Type EXPERIMENTAL

Meropenem therapy based on a PPK and PD model

Intervention Type DRUG

Participants in study group will accept meropenem therapy based on a software developed from a PPK and PD model

Interventions

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Routine meropenem therapy

Participants in control group will accept meropenem therapy with regimen routinely decided by attending physician

Intervention Type DRUG

Meropenem therapy based on a PPK and PD model

Participants in study group will accept meropenem therapy based on a software developed from a PPK and PD model

Intervention Type DRUG

Other Intervention Names

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Standard care Experimental meropenem therapy

Eligibility Criteria

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Inclusion Criteria

* Sixty years and older patients hospitalized at the Peking University Third Hospital with community-acquired or hospital-acquired lower respiratory tract infection.
* Bacilli was idolated from lower respiratory tract specimens within 48 hours prior to study enrollment.
* The pathogen was sensitive to meropenem.
* Received broad-spectrum antibiotic therapy less than 24 hours, or no improvement after antibiotic therapy and pathogen was resistant to the used antibiotics.

Exclusion Criteria

* Had documented hypersensitivity to carbapenems.
* More than one pathogenic Gram-negative bacillus was isolated lower respiratory tract specimens.
* Positive HIV antibody titre.
* Had known or suspected tuberculosis or other infections caused by Gram-positive cocci, viruses or fungi at baseline.
Minimum Eligible Age

60 Years

Maximum Eligible Age

95 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Qingtao Zhou

OTHER

Sponsor Role lead

Responsible Party

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Qingtao Zhou

Associate professor

Responsibility Role SPONSOR_INVESTIGATOR

Principal Investigators

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Qingtao Zhou, M.D.

Role: PRINCIPAL_INVESTIGATOR

Peking University Third Hospital

Locations

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Peking University Third Hospita

Haidian District, Beijing Municipality, China

Site Status

Countries

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China

References

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Zhou QT, He B, Shen N, Liang Y, Sun LN. Meropenem Dosing Based on a Population Pharmacokinetic-Pharmacodynamic Model in Elderly Patients with Infection of the Lower Respiratory Tract. Drugs Aging. 2017 Feb;34(2):115-121. doi: 10.1007/s40266-016-0431-9.

Reference Type DERIVED
PMID: 28097633 (View on PubMed)

Other Identifiers

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75505-01

Identifier Type: -

Identifier Source: org_study_id

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