GUY'S STONE SCORE IN THE EVALUATION AND OUTCOME OF PERCUTANEOUS NEPHROLITHOTOMY.
Main Article Content
Keywords
Guy's stone score, percutaneous nephrolithotomy, PCNL, Quality of Life
Abstract
Aim
This study aimed to ascertain the relevance of Guy's stone score with respect to Gender and Stone size in the evaluation and outcome of percutaneous nephrolithotomy.
Materials and methods
This hospital-based, prospective clinical study enrolled 100 patients who were indicated for percutaneous nephrolithotomy. All patients were allocated into groups according to Guy's stone score and were compared for factors associated with stone-free rate and complication risk. Data was entered into Microsoft Excel 2010, checked for accuracy, and then analysed using SPSS version 20.
Results
A total number of patients eligible for final analysis in our study was 100. The male: female ratio is 2.44 with 71 men and 29 women. Most of the patients belonged to the age group of 21-40 with over 52 patients and least incidence was found in age group 61-72 with just 9 patients, an indicator of a median age 35.5+- 15.5. The association between age and GSS in our study were found to be statistically significant (p=0.12). Table 3 shows the characteristics of the renal calculi. A majority of the stones were solitary out of which 49% were left and 51% were right.
Majority of the patients (45%) have been found to have a GSS grading 1, followed by the GSS Grading 2 by 32% and 16% & 7% of the patients were found to have GSS grading 3 & 4 Respectively. The findings were found to be statistically significant with age ( p= 0.39 ) and gender (p= 0.32) indicating that the null hypothesis is rejected with 95% Confidence Interval.
Conclusions
Based on the study findings, Guy's stone score was found to be significantly associated with gender as well as age and was efficient in predicting percutaneous nephrolithotomy outcomes.
References
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Sami Ur Rahman
Consultant Urologist Swat Medical Complex Saidu Swat Pakistan
Falak Naz
Consultant Urologist Swat Medical Complex Saidu Swat Pakistan
Saifullah Khan
Senior Registrar Bakhtawar Amin Medical and Dental College Multan Pakistan
Akash Chandani
Akash Chandani, North Middlesex University Hospital
Hassan Mumtaz
MBBS, MSPH, MSc Data Analytics Health Services Academy Pakistan