Updated treatment algorithm of pulmonary arterial hypertension

Area of Science:

• Cardiology
• Pulmonology
• Pharmacology

Background:

• Pulmonary arterial hypertension (PAH) treatment algorithms face conflicting demands for comprehensiveness and simplicity.
• Algorithms integrate diverse recommendations (clinical, hemodynamic, pharmacological) with varying evidence levels.
• Multiple stakeholders with different needs utilize PAH treatment algorithms.

Purpose of the Study:

• To update the current evidence-based PAH treatment algorithm.
• To address challenges in algorithm development and stakeholder needs.
• To propose revisions based on new scientific information.

Main Methods:

• Revisiting three main areas of the current PAH treatment algorithm: general measures, initial therapy, and response to therapy.
• Highlighting new information from the past five years.
• Adopting European Society of Cardiology (ESC) grades of recommendation and levels of evidence.

Main Results:

• New information from the last five years will be integrated into the algorithm.
• Proposed updates will be presented for each section of the algorithm.
• Treatments will be ranked using ESC guidelines for recommendations and evidence levels.

Conclusions:

• The updated algorithm aims to be comprehensive, informative, simple, and straightforward.
• Proposed revisions will enhance the evidence-based management of PAH.
• The updated algorithm will better serve diverse stakeholder needs in PAH treatment.