Evaluating the Lower Urinary Tract Syndrome with a Telemedicine Application: An Exploration of the Electronic Audiovisual Prostate Symptom Score

Background The Visual Prostate Symptom Score (VPSS) is used for the assessment of lower urinary tract symptoms (LUTS). It is usually administered by general practitioners (GPs), but in these cases, outcomes do not seem to be reflecting the real conditions of a patient well, with consequent risks of misestimations and misinterpretations. We developed an electronic audiovisual version of VPSS (EPSS), a new symptom scale based on a telemedicine mobile light-based app. The aim of this study is to test and evaluate its reliability. Methods We enrolled male patients aged between 50 and 80 years across 24 community-based healthcare facilities in Guangzhou, China. Patients were asked to complete the Chinese version of VPSS and EPSS before consultation with the urology specialists. Patients were divided into two groups based on age. First, we analyzed the rate of full understanding of EPSS using a chi-square test. Then, we analyzed the difference between each score of EPSS, VPSS, and outcomes measured by specialists, used as the reference score (RS). Finally, the outcomes were analyzed with the Spearman test and Bartlett test separately. Results Seventy-nine male patients were included (mean age 70.42 years). Patients were divided into two groups: group 1 (>70 years, n = 40) and group 2 (<70 years, n = 39). The full-understanding rates in groups 1 and 2 were 50% and 64.1%, respectively. No significant differences were noted between groups (p = 0.206). A t-test was presented between each question of VPSS, EPSS, and RS. All questions did not display significant differences (p > 0.05);total scores from the three scales had no significant differences in the evaluation of LUTS. We further explored the variations of choices made by patients in different scales. Spearman’s test among VPSS, EPSS, and RS showed positive correlations, and coefficients of the total score were 0.92, 0.91, and 0.93 (p < 0.05). Conclusion EPSS can be easily used in a significant number of patients and showed correlation with the VPSS and RS. Moreover, certain items resulted in better performance than VPSS. The results showed that EPSS could be a valuable option for both patients and GPs monitoring LUTS and particularly helpful when teleconsultations are considered, especially during the COVID-19 pandemic.

A Deep Learning Model for Accurate Diagnosis of Infection Using Antibody Repertoires.

The adaptive immune receptor repertoire consists of the entire set of an individual's BCRs and TCRs and is believed to contain a record of prior immune responses and the potential for future immunity. Analyses of TCR repertoires via deep learning (DL) methods have successfully diagnosed cancers and infectious diseases, including coronavirus disease 2019. However, few studies have used DL to analyze BCR repertoires. In this study, we collected IgG H chain Ab repertoires from 276 healthy control subjects and 326 patients with various infections. We then extracted a comprehensive feature set consisting of 10 subsets of repertoire-level features and 160 sequence-level features and tested whether these features can distinguish between infected individuals and healthy control subjects. Finally, we developed an ensemble DL model, namely, DL method for infection diagnosis (https://github.com/chenyuan0510/DeepID), and used this model to differentiate between the infected and healthy individuals. Four subsets of repertoire-level features and four sequence-level features were selected because of their excellent predictive performance. The DL method for infection diagnosis outperformed traditional machine learning methods in distinguishing between healthy and infected samples (area under the curve = 0.9883) and achieved a multiclassification accuracy of 0.9104. We also observed differences between the healthy and infected groups in V genes usage, clonal expansion, the complexity of reads within clone, the physical properties in the α region, and the local flexibility of the CDR3 amino acid sequence. Our results suggest that the Ab repertoire is a promising biomarker for the diagnosis of various infections.

Evaluating the Lower Urinary Tract Syndrome with a Telemedicine Application: An Exploration of the Electronic Audiovisual Prostate Symptom Score.

Background: The Visual Prostate Symptom Score (VPSS) is used for the assessment of lower urinary tract symptoms (LUTS). It is usually administered by general practitioners (GPs), but in these cases, outcomes do not seem to be reflecting the real conditions of a patient well, with consequent risks of misestimations and misinterpretations. We developed an electronic audiovisual version of VPSS (EPSS), a new symptom scale based on a telemedicine mobile light-based app. The aim of this study is to test and evaluate its reliability. Methods: We enrolled male patients aged between 50 and 80 years across 24 community-based healthcare facilities in Guangzhou, China. Patients were asked to complete the Chinese version of VPSS and EPSS before consultation with the urology specialists. Patients were divided into two groups based on age. First, we analyzed the rate of full understanding of EPSS using a chi-square test. Then, we analyzed the difference between each score of EPSS, VPSS, and outcomes measured by specialists, used as the reference score (RS). Finally, the outcomes were analyzed with the Spearman test and Bartlett test separately. Results: Seventy-nine male patients were included (mean age 70.42 years). Patients were divided into two groups: group 1 (>70 years, n = 40) and group 2 (<70 years, n = 39). The full-understanding rates in groups 1 and 2 were 50% and 64.1%, respectively. No significant differences were noted between groups (p = 0.206). A t-test was presented between each question of VPSS, EPSS, and RS. All questions did not display significant differences (p > 0.05); total scores from the three scales had no significant differences in the evaluation of LUTS. We further explored the variations of choices made by patients in different scales. Spearman's test among VPSS, EPSS, and RS showed positive correlations, and coefficients of the total score were 0.92, 0.91, and 0.93 (p < 0.05). Conclusion: EPSS can be easily used in a significant number of patients and showed correlation with the VPSS and RS. Moreover, certain items resulted in better performance than VPSS. The results showed that EPSS could be a valuable option for both patients and GPs monitoring LUTS and particularly helpful when teleconsultations are considered, especially during the COVID-19 pandemic.