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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
[Target population for hypertensive therapy]
1Unité pharmacoclinique, hôpital neurocardiologique, Lyon.
Insights
Identifying individual patient responders to antihypertensive treatment is crucial for effective therapy. The INDANA project aims to create a comprehensive database for meta-analyses to personalize hypertension treatment by considering both benefits and risks.
Area of Science:
- Clinical Pharmacology and Therapeutics
- Cardiovascular Medicine
- Biostatistics and Epidemiology
Context:
- Current clinical trial data often fails to identify specific patient subgroups who benefit from antihypertensive treatments.
- Undesirable secondary effects can make treatments inappropriate or harmful for certain individuals.
- Personalized medicine approaches are needed to optimize therapeutic outcomes in hypertension management.
Purpose:
- To develop a methodology for identifying responders to antihypertensive therapy using individual patient data.
- To establish a comprehensive database integrating results from published preventive trials of antihypertensive therapy.
- To conduct meta-analyses on individual patient parameters to understand factors influencing treatment response.
Summary:
- The INDANA project aims to pool individual patient data from antihypertensive therapy trials.
- Advanced meta-analysis techniques will be employed to identify demographic, sociological, and genetic factors influencing treatment efficacy.
- This approach seeks to differentiate between patients who benefit from and those who do not respond to treatment, or may experience harm.
Impact:
- Improved identification of patient responders to antihypertensive treatments.
- Facilitation of individualized treatment strategies for hypertension based on predicted benefits and risks.
- Potential to reduce adverse events and enhance the overall effectiveness of hypertension management.
Abstract:
The efficacy of treatment may be demonstrated globally but, in some patients, treatment can be either inappropriate or harmful because of undesirable secondary effects. Ideally, treatment should be limited to patients who respond, but this is impossible with the published data from clinical trials. This could become possible by creating a data base containing all published results and carrying out meta analyses on individual parameters. Using the most powerful methods of analysis this could allow identification of patients responding to treatment by taking into account not only the benefits but also the risks of a given treatment (the principle is to identify and estimate factors--demographical, sociological, generic, which interfere with the size of the effect). In order to identify responders to antihypertensive treatment, a meta analysis of individual data was started, the INDANA project. With a common data base of all the preventive trials of antihypertensive therapy, this study should contribute to improved identification of responders and therefore to individualization of treatment of hypertension.
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Hypertension and Regulation of Blood Pressure
Hypertension I: Introduction
Hypertension II: Pathophysiology
Hypertension III: Clinical Manifestations and Diagnostic Studies
Hypertension IV: Drug Therapy and Lifestyle Modifications
Hypertension V: Nursing Management

