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Updated: Jun 13, 2025

Ultrasonography of the Adult Male Urinary Tract for Urinary Functional Testing
Published on: August 14, 2019
Association of Prostate-Specific Antigen With Age, Digital Rectal Examination, and Lower Urinary Tract Symptoms in
Yehya Tlaiss1, Marc Jreij1, Mohamad Tlais1
1Biostatistics and Epidemiology, Saint George Hospital University Medical Center, Beirut, LBN.
Background:
Prostate cancer (PCa) is a leading cause of mortality in men worldwide. Prostate-specific antigen (PSA) testing is a standard method for PCa detection, yet its association with age, digital rectal examination (DRE) results, and lower urinary tract symptoms (LUTS) remains understudied, particularly in the Lebanese population.
Objective:
This study aimed to investigate the association of PSA levels with age, DRE results, and LUTS severity among Lebanese men.
Methods:
A total of 725 men aged 55-70 years were recruited from a men's health campaign at Saint George Hospital University Medical Center in Lebanon. PSA levels, DRE results, and International Prostate Symptom Score (IPSS) were assessed. Statistical analysis included Kruskal-Wallis tests and Spearman's rho correlation coefficient.
Results:
Participants exhibited a significant correlation between age and PSA levels (r = 0.138, p < 0.01). PSA levels varied significantly across age groups (p = 0.029), with higher mean PSA levels observed in older age groups. IPSS status correlated positively with PSA levels (r = 0.23, p < 0.001), indicating higher PSA levels associated with increased LUTS severity. Abnormal DRE findings were significantly associated with elevated PSA levels (p < 0.00), suggesting their potential as an indicator of prostate abnormalities.
Conclusion:
This study highlights the importance of age-specific reference ranges for PSA levels in the Lebanese population. Elevated PSA levels were associated with older age, increased LUTS severity, and abnormal DRE findings. These findings highlight the significance of integrating PSA testing with clinical assessments for PCa detection and risk stratification in Lebanon.
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