Non-interventional Observational Study With Viramune® in HIV to Evaluate Gender Specific Data

January 9, 2015 updated by: Boehringer Ingelheim

Non-interventional Observational Study With Viramune® Plus Antiretroviral Backbone Combination in HIV-infected Women and Male Patients. Gender Specific Evaluation of Data.

The question that prompted this study is the extent to which results from clinical trials can be translated into everyday practice (external validity). First and foremost are questions about tolerability and the efficacy of an antiretroviral combination treatment with Viramune and other antiretroviral partners. In particular, adverse events will be recorded depending on gender and the therapeutic effect will be monitored via the course of viral load and improvement of the immune system, based on the CD4 cell count.

Study Overview

Status

Completed

Conditions

Detailed Description

Time Perspective:

retro- and prospective

Study Type

Observational

Enrollment (Actual)

265

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Aachen, Germany
        • Boehringer Ingelheim Investigational Site 23
      • Berlin, Germany
        • Boehringer Ingelheim Investigational Site 10
      • Berlin, Germany
        • Boehringer Ingelheim Investigational Site 11
      • Berlin, Germany
        • Boehringer Ingelheim Investigational Site 14
      • Berlin, Germany
        • Boehringer Ingelheim Investigational Site 19
      • Berlin, Germany
        • Boehringer Ingelheim Investigational Site 26
      • Berlin, Germany
        • Boehringer Ingelheim Investigational Site 28
      • Berlin, Germany
        • Boehringer Ingelheim Investigational Site 33
      • Berlin, Germany
        • Boehringer Ingelheim Investigational Site 4
      • Berlin, Germany
        • Boehringer Ingelheim Investigational Site 5
      • Berlin, Germany
        • Boehringer Ingelheim Investigational Site 8
      • Berlin, Germany
        • Boehringer Ingelheim Investigational Site 9
      • Chemnitz, Germany
        • Boehringer Ingelheim Investigational Site 31
      • Dortmund, Germany
        • Boehringer Ingelheim Investigational Site 29
      • Düsseldorf, Germany
        • Boehringer Ingelheim Investigational Site 27
      • Frankfurt, Germany
        • Boehringer Ingelheim Investigational Site 17
      • Frankfurt, Germany
        • Boehringer Ingelheim Investigational Site 1
      • Freiburg, Germany
        • Boehringer Ingelheim Investigational Site 2
      • Giessen, Germany
        • Boehringer Ingelheim Investigational Site 34
      • Hamburg, Germany
        • Boehringer Ingelheim Investigational Site 22
      • Hamburg, Germany
        • Boehringer Ingelheim Investigational Site 6
      • Hannover, Germany
        • Boehringer Ingelheim Investigational Site 12
      • Hannover, Germany
        • Boehringer Ingelheim Investigational Site 16
      • Karlsruhe, Germany
        • Boehringer Ingelheim Investigational Site 32
      • Koblenz, Germany
        • Boehringer Ingelheim Investigational Site 15
      • Köln, Germany
        • Boehringer Ingelheim Investigational Site 25
      • Leipzig, Germany
        • Boehringer Ingelheim Investigational Site 21
      • München, Germany
        • Boehringer Ingelheim Investigational Site 20
      • München, Germany
        • Boehringer Ingelheim Investigational Site 24
      • München, Germany
        • Boehringer Ingelheim Investigational Site 3
      • München, Germany
        • Boehringer Ingelheim Investigational Site 7
      • Münster, Germany
        • Boehringer Ingelheim Investigational Site 13
      • Osnabrück, Germany
        • Boehringer Ingelheim Investigational Site 18
      • Stuttgart, Germany
        • Boehringer Ingelheim Investigational Site 30

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

patients

Description

Inclusion criteria:

The inclusion criteria for treatment with Viramune plus other antiretroviral combination drugs are to be based on the current Information for Healthcare Professionals/SPC

Exclusion criteria:

The inclusion criteria for treatment with Viramune plus other antiretroviral combination drugs are to be based on the current Information for Healthcare Professionals/SPC

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort

Cohorts and Interventions

Group / Cohort
HIV-infected women and men

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Number of Patients With Virologic Response (VR) After 36 Months
Time Frame: 36 months

VR is defined as HIV viral load of < 50 copies/mL before month 36 and without subsequent rebound or change of ARV therapy. A rebound is defined by two consecutive measurements of VL ≥ 50 copies/ml, at least two weeks apart.

A change of ARV therapy is defined as a permanent discontinuation of Viramune®. A change in the background therapy due to toxicity or intolerance is not considered failure for the analysis. Therefore, a patient remains a treatment responder in this case if all other criteria are fulfilled. A rebound is defined by two consecutive measurements of VL ≥ 50 copies/ml, at least two weeks apart, after two consecutive measurements of VL< 50 copies/ml.

36 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Changes in the Viral Load After 36 Months From Baseline
Time Frame: Baseline and 36 months
The change in the log10 viral load from baseline after 36 months was calculated by subtracting the baseline value from the value after 36 months. Therefore, a negative change represents a decrease in viral load.
Baseline and 36 months
Changes in the CD4+ Cell Count After 36 Months From Baseline
Time Frame: Baseline and 36 months
The change in the Cluster of differentiation 4 (CD4+) cell count from baseline after 36 months was calculated by subtracting the baseline value from the value after 36 months. Therefore, a positive change represents an increase in CD4+ cell count.
Baseline and 36 months
Changes in the Laboratory Data (Total Cholesterol) After 36 Months From Baseline
Time Frame: Baseline and 36 months
The changes in the laboratory data (Total Cholesterol) from baseline after 36 months were calculated by subtracting the baseline value from the value after 36 months. Therefore, a positive change represents an increase, a negative change represents a decrease in the data. .
Baseline and 36 months
Changes in the Laboratory Data (HDL Cholesterol) After 36 Months From Baseline
Time Frame: Baseline and 36 months
The changes in the laboratory data ( High density protein (HDL) Cholesterol) from baseline after 36 months were calculated by subtracting the baseline value from the value after 36 months. Therefore, a positive change represents an increase, a negative change represents a decrease in the data. .
Baseline and 36 months
Changes in the Laboratory Data (LDL Cholesterol) After 36 Months From Baseline
Time Frame: Baseline and 36 months
The changes in the laboratory data (Low density protein (LDL) Cholesterol) from baseline after 36 months were calculated by subtracting the baseline value from the value after 36 months. Therefore, a positive change represents an increase, a negative change represents a decrease in the data. .
Baseline and 36 months
Changes in the Laboratory Data (Triglycerides) After 36 Months From Baseline
Time Frame: Baseline and 36 months
The changes in the laboratory data (Triglycerides) from baseline after 36 months were calculated by subtracting the baseline value from the value after 36 months. Therefore, a positive change represents an increase, a negative change represents a decrease in the data. .
Baseline and 36 months
Changes in the Laboratory Data (Blood Glucose) After 36 Months From Baseline
Time Frame: Baseline and 36 months
The changes in the laboratory data (Blood Glucose) from baseline after 36 months were calculated by subtracting the baseline value from the value after 36 months. Therefore, a positive change represents an increase, a negative change represents a decrease in the data. .
Baseline and 36 months
Changes in the Laboratory Data ( ALT) After 36 Months From Baseline
Time Frame: Baseline and 36 months
The changes in the laboratory data (Alanine transaminase (ALT)) from baseline after 36 months were calculated by subtracting the baseline value from the value after 36 months. Therefore, a positive change represents an increase, a negative change represents a decrease in the data. .
Baseline and 36 months
Changes in the Laboratory Data (AST) After 36 Months From Baseline
Time Frame: Baseline and 36 months
The changes in the laboratory data (Aspartate transminase (AST)) from baseline after 36 months were calculated by subtracting the baseline value from the value after 36 months. Therefore, a positive change represents an increase, a negative change represents a decrease in the data. .
Baseline and 36 months
Changes in the Laboratory Data (Gamma-GT) After 36 Months From Baseline
Time Frame: Baseline and 36 months
The changes in the laboratory data (Gamma glutamyl transferase (Gamma GT)) from baseline after 36 months were calculated by subtracting the baseline value from the value after 36 months. Therefore, a positive change represents an increase, a negative change represents a decrease in the data. .
Baseline and 36 months
Changes in the Laboratory Data (Creatinine) After 36 Months From Baseline
Time Frame: Baseline and 36 months
The changes in the laboratory data (Creatinine) from baseline after 36 months were calculated by subtracting the baseline value from the value after 36 months. Therefore, a positive change represents an increase, a negative change represents a decrease in the data. .
Baseline and 36 months
Changes in the Laboratory Data (Haemoglobin) After 36 Months From Baseline
Time Frame: Baseline and 36 months
The changes in the laboratory data (Haemoglobin) from baseline after 36 months were calculated by subtracting the baseline value from the value after 36 months. Therefore, a positive change represents an increase, a negative change represents a decrease in the data. .
Baseline and 36 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Helpful Links

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

May 1, 2010

Primary Completion (Actual)

December 1, 2013

Study Completion (Actual)

December 1, 2013

Study Registration Dates

First Submitted

June 1, 2010

First Submitted That Met QC Criteria

June 1, 2010

First Posted (Estimate)

June 2, 2010

Study Record Updates

Last Update Posted (Estimate)

January 21, 2015

Last Update Submitted That Met QC Criteria

January 9, 2015

Last Verified

January 1, 2015

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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