Experience with Uroflowmetry in Evaluation of Lower Urinary Tract Symptoms in Patients with Benign
Prostatic Hyperplasia
Published: April 1, 2014 | DOI: https://doi.org/10.7860/JCDR/2014/.4271
Sanjeev Singla, Ramneesh Garg, Ankit Singla, Sandeep Sharma, Jasdeep Singh, Pulkit Sethi
1. Associate Professor, Department of General Surgery, Dayanand Medical College & Hospital, Ludhiana, Punjab, India.
2. Assistant Professor, Department of Plastic Surgery, Dayanand Medical College & Hospital, Ludhiana, Punjab, India.
3. Resident, Department of General Surgery, Dayanand Medical College & Hospital, Ludhiana, Punjab, India.
4. Professor & Head, Department of Urology, Dayanand Medical College & Hospital, Ludhiana, Punjab, India.
5. Ex-Professor, Department of General Surgery, Dayanand Medical College & Hospital, Ludhiana, Punjab, India.
6. Resident, Department of General Surgery, Dayanand Medical College & Hospital, Ludhiana, Punjab, India.
Correspondence
Dr. Ramneesh Garg,
127 – E, Kitchlu Nagar, Ludhiana – 141001, Punjab, India.
Phone: 919501035555, E-mail: ramneeshgarg@yahoo.com
Introduction: Uroflowmetry is a non- invasive urodynamic tool which is widely used for most of the patients with suspected lower urinary tract dysfunction. The severity of lower urinary tract symptoms (LUTS) can be measured reliably by using a number of validated questionnaires, like International Prostate Symptom Score (IPSS). This study was designed to determine the relationship between the parameters of uroflowmetry and symptom severity.
Materials and Methods: Fifty patients with LUTS caused bybenign prostatic hyperplasia were evaluated by using uroflowmetry, IPSS, prostate volume estimation. The correlations between these parameters were quantified by means of Spearman correlation co-efficients.
Results: Statistically significant correlations were found between the IPSS and results of uroflowmetry (peak flow rate and average flow rate) and post-void residual urine. No correlation was found between the IPSS and results of prostate volume measurements.
Conclusion: There was a positive correlation between peak flow rate, as was measured by uroflowmetry and lower urinary tract symptom severity.
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