An observational study to correlate the findings of Taila bindu Pariksha with TAUS IPSSCORE and PSA levels to assess the prognostic aspects of Benign Prostatic Hyperplasia

An observational study to correlate the findings of Taila bindu Pariksha with TAUS, IPSSCORE and PSA levels to assess the prognostic aspects of Benign Prostatic Hyperplasia.

Introduction

Taila Bindu Pariksha, an Ayurvedic diagnostic method, evaluates urine to assess the prognosis, severity, and treatment planning for Benign Prostatic Hyperplasia (BPH). It addresses symptoms like urinary flow restriction and Lower Urinary Tract Symptoms (LUTS). Integrating Ayurvedic urine analysis with modern tools such as TAUS (Trans Abdominal Ultrasonography), IPSS (International Prostate Symptom Score), and PSA (Prostate Specific Antigen) offers insights into BPH management.

Need of Study

BPH, a common condition in aging men, increases morbidity and LUTS, impairing quality of life. While prognosis remains a challenge, Taila Bindu Pariksha offers a cost-effective approach. This study correlates its findings with modern diagnostic tools and revalidates Acharya Yogratnakar’s ancient Ayurvedic method.

Aim and Objectives

Aim: To Assess Taila Bindu Pariksha’s utility in BPH prognosis by correlating it with TAUS, IPSS, and PSA levels.

Primary Objective: TO Correlate Taila Bindu Pariksha results with TAUS, IPSS, and PSA levels.

Secondary Objectives: To Examine oil dispersion patterns, spread rates, Doshic predominance, and Dasavidha Rogi Pariksha in BPH patients.

Material and Methods

An observational study will include 250 patients from IPD and OPD of Shri Dhanwantry Ayurvedic College and Hospital, Chandigarh. Patients meeting diagnostic and inclusion criteria will be screened based on laboratory findings, Transabdominal ultrasonography, and IPSS questionnaires.

Taila Bindu Pariksha involves urine sample collection from BPH patients and recording oil dispersion patterns via videography. Diagnosis is supported by TAUS, PSA, and IPSS scores.

The study employs a double-blind design to ensure unbiased results. Patients are unaware of the purpose of the analysis, and the investigator remains blinded to patient identities. Urine samples are coded by the lab technician, who securely maintains confidentiality. The statistician will analyze the combined dataset, interpret results, and prepare the final report based on integrated data.

For data analysis, two groups will be compared: Group A (BPH patients on medication) and Group B (BPH patients without medication), focusing on correlations between Taila Bindu Pariksha findings and clinical parameters.

Statistical Analysis

Data will be recorded using Case Report Forms (CRFs) integrating Ayurvedic and modern parameters. Descriptive and inferential statistics will be employed, using tools like Z-test, t-test, Spearman’s rank, and Mann-Whitney U test. Analysis will be performed via SPSS, Python, and R, with significance set at p < 0.05.