Optimizing Human Papillomavirus (HPV) Screening: Urine Sample Analysis and Associated Factors in Uzbekistan.

Objective This study assessed the accuracy of detecting Human Papillomavirus (HPV) DNA in urine samples compared to cervical samples and identified factors associated with HPV DNA positivity in Uzbekistan. Methods A total of 218 paired urine and cervical samples were collected from women in Uzbekistan. HPV DNA was detected using polymerase chain reaction (PCR) with genotyping. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and Cohen's Kappa coefficient were calculated. Univariate and multivariate analyses were conducted to identify factors associated with HPV DNA positivity. Results The study included 32.6% (71/218) positive HPV DNA by cervical samples, which demonstrated 19.7% (43/218) HPV DNA presence by urine samples. Urine HPV testing had a sensitivity of 57.7%, specificity of 98.6%, PPV of 95.3%, NPV of 82.9%, and Kappa coefficient of 60.1. To reveal factors associated with HPV DNA positivity, we set the positive 71 cases as the main group, and 147 negative samples as the control group. The results of the multivariate analysis found the association between HPV DNA positivity and included age 31-40 years (AOR=8.2), working as medical staff (AOR=7.51), condom use (AOR=0.12), having foamy (AOR=7.26) or purulent (AOR=6.84) vaginal discharge. Conclusion Urine HPV testing showed good agreement with cervical samples, although sensitivity was lower than some previous reports. Several sociodemographic and clinical factors were associated with HPV DNA positivity. Further optimization of urine collection, storage, and testing methods may improve sensitivity. Targeted screening of high-risk groups could enhance HPV prevention strategies in Uzbekistan.