Algorithmic Approach to Benign Prostatic Hyperplasia: An Indian Perspective.

Abstract

Benign prostatic hyperplasia (BPH) is a prevalent condition affecting aging men, necessitating a comprehensive and evidence-based approach to diagnosis and management. This manuscript, through the summarization of the latest evidence, aims to establish a consensus among clinicians regarding optimal strategies for diagnosing and managing BPH, to improve patient care and outcomes in clinical practice. A panel of urologists conducted a comprehensive review of the literature by searching various databases and search engines (PubMed, Google Scholar, and Cochrane databases). They identified relevant studies on the diagnosis and management of BPH. The literature was summarized and analyzed to develop 14 statements. The panel utilized a Delphi methodology over two rounds (R1 and R2) to reach a consensus on the statements, considering both the literature evidence and expert opinions. The expert panel reached a consensus on 14 statements addressing diverse aspects of BPH, including tailored therapies for different patient profiles and the necessity for a unified diagnosis and management algorithm to enhance patient outcomes. In conclusion, a unified approach to diagnosing and managing BPH promotes consistent and effective patient care. Proper drug selection, considering factors like efficacy and patient-specific characteristics, is crucial for managing BPH. This approach optimizes treatment outcomes and improves the quality of life for BPH patients.