Prediction models of incontinence and sexual function one year after radical prostatectomy based on data from 20 164 prostate cancer patients.

BACKGROUND: Incontinence and sexual dysfunction are long-lasting side effects after surgical treatment (radical prostatectomy, RP) of prostate cancer (PC). For an informed treatment decision, physicians and patients should discuss expected impairments. Therefore, this paper firstly aims to develop and validate prognostic models that predict incontinence and sexual function of PC patients one year after RP and secondly to provide an online decision making tool. METHODS: Observational cohorts of PC patients treated between July 2016 and March 2021 in Germany were used. Models to predict functional outcomes one year after RP measured by the EPIC-26 questionnaire were developed using lasso regression, 80-20 splitting of the data set and 10-fold cross validation. To assess performance, R2, RMSE, analysis of residuals and calibration-in-the-large were applied. Final models were externally temporally validated. Additionally, percentages of functional impairment (pad use for incontinence and firmness of erection for sexual score) per score decile were calculated to be used together with the prediction models. RESULTS: For model development and internal as well as external validation, samples of 11 355 and 8 809 patients were analysed. Results from the internal validation (incontinence: R2 = 0.12, RMSE = 25.40, sexual function: R2 = 0.23, RMSE = 21.44) were comparable with those of the external validation. Residual analysis and calibration-in-the-large showed good results. The prediction tool is freely accessible: https://nora-tabea.shinyapps.io/EPIC-26-Prediction/. CONCLUSION: The final models showed appropriate predictive properties and can be used together with the calculated risks for specific functional impairments. Main strengths are the large study sample (> 20 000) and the inclusion of an external validation. The models incorporate meaningful and clinically available predictors ensuring an easy implementation. All predictions are displayed together with risks of frequent impairments such as pad use or erectile dysfunction such that the developed online tool provides a detailed and informative overview for clinicians as well as patients.

IL-17A )rs2275913; G197A) gene polymorphism as predictor for disease severity and its correlation with IL-17 serum levels in COVID-19 patients.

Severity of symptoms in COVID-19 has been shown to result from a cytokine storm. Interleukin (IL)-17 is one of these various cytokines, which results in a proinflammatory response, systemic inflammatory symptoms, inflammatory cell infiltration of lung tissue and thus leads to the massive lung pathology and multiorgan failure. Gene polymorphisms in the regulatory regions of cytokine-encoding genes affect the amounts of cytokines produced and possess a fundamental role in infectious diseases. This study aimed to investigate the role of IL-17A (rs2275913; G197A) gene polymorphism as predictor of disease severity and its correlation with IL-17 serum levels in COVID-19 patients. A group of 70 COVID-19 patients and 17 age and sex-matched control subjects were enrolled in the present work. Patients were classified into two groups moderate, severe and acute respiratory distress (ARDS) cases, defined according to the criteria established by the world health organization. Quantitative real time-polymerase chain reaction was done to detect IL-17A (rs2275913; G197A). Serum IL-17 levels were assessed by an enzyme-linked immunosorbent assay in both patients and controls. The distribution of different IL-17A G/A genotypes among COVID-19 patients were 44.3% for GG genotype, 44.3% for AG genotype and 11.4% for AA genotype. Genotypes among the control group were 43.8% for GG genotype, 50% for AG genotype and 6.3% for AA genotype. G allele distribution was 66.4%, 68.8% in patient and control group, respectively, and A allele was 33.6% and 31.3%, respectively. There was no association between the different genotypes, disease severity or IL-17 serum levels in the patient group. In conclusion, despite the possible role of IL-17 in the pathogenesis of inflammation, there was no association between IL-17 polymorphism and disease severity or IL-17 serum levels among Egyptian COVID-19 patients.

Variation across operating sites in urinary and sexual outcomes after radical prostatectomy in localized and locally advanced prostate cancer.

PURPOSE: The extent of variation in urinary and sexual functional outcomes after radical prostatectomy (RPE) between prostate cancer (PC) operating sites remains unknown. Therefore, this analysis aims to compare casemix-adjusted functional outcomes (EPIC-26 scores incontinence, irritative/obstructive function and sexual function) between operating sites 12 months after RPE. MATERIALS AND METHODS: Analysis of a cohort of 7065 men treated with RPE at 88 operating sites (prostate cancer centers, "PCCs") between 2016 and 2019. Patients completed EPIC-26 and sociodemographic information surveys at baseline and 12 months after RPE. Survey data were linked to clinical data. EPIC-26 domain scores at 12 months after RPE were adjusted for relevant confounders (including baseline domain score, clinical and sociodemographic information) using regression analysis. Differences between sites were described using minimal important differences (MIDs) and interquartile ranges (IQR). The effects of casemix adjustment on the score results were described using Cohen's d and MIDs. RESULTS: Adjusted domain scores at 12 months varied between sites, with IQRs of 66-78 (incontinence), 89-92 (irritative/obstructive function), and 20-29 (sexual function). Changes in domain scores after casemix adjustment for sites ≥ 1 MID were noted for the incontinence domain (six sites). Cohen's d ranged between - 0.07 (incontinence) and - 0.2 (sexual function), indicating a small to medium effect of casemix adjustment. CONCLUSIONS: Variation between sites was greatest in the incontinence and sexual function domains for RPE patients. Future research will need to identify the factors contributing to this variation. TRIAL REGISTRY: The study is registered at the German Clinical Trial Registry ( https://www.drks.de/drks_web/ ) with the following ID: DRKS00010774.

Association between single nucleotide polymorphism of human angiotensin-converting enzyme 2 gene locus and clinical severity of COVID-19.

Background: Coronavirus disease 2019 (COVID-19) is a devastating pandemic-causing disease with a variable severity among populations. Genetic studies have pinpointed angiotensin-converting enzyme 2 (ACE2), a key enzyme for viral entry, for its possible linkage to the disease progression. The present study aimed to investigate the potential association between single nucleotide polymorphisms (SNPs) of human ACE2 gene with the severity and outcomes of COVID-19 for better patient management. Methods: In this observational cross-sectional study, COVID-19 confirmed patients were classified into moderate and severe cases according to the "Ain Shams University Hospitals Pocket Guide for COVID-19 Diagnosis." Genetic analysis of ACE2 SNP rs2048683 was carried out using a TaqMan assay with the real-time polymerase chain reaction (PCR) technique. Results: Among 90 confirmed COVID-19 patients, 78.9% (71/90) were classified as severe, and 21.1% (19/90) were classified as moderate. Laboratory biomarkers were significantly (P = 0.000) higher in the severe group than in the moderate group. Similarly, associated comorbidities such as hypertension were significant (P = 0.000) in the severe group, whereas asthma and deep venous thrombosis were significant in the moderate group (P = 0.007 and 0.006, respectively). Elevated serum ferritin level (odds ratio (OR) 162.589, 95% confidence interval (CI) 8.108-3260.293) and ACE2 rs2048683 genotype GG/G (OR 5.852, 95% CI 1.586-21.591) were both considered independent risk factors for severe disease. Conclusion: The findings of the present study provide preliminary evidence of an association between ACE2 rs2048683 SNPs and COVID-19 severity in the Egyptian population, which may inform the need for targeted management. Supplementary Information: The online version contains supplementary material available at 10.1186/s43042-022-00331-8.

Predictors for the utilization of social service counseling by prostate cancer patients.

PURPOSE: Social service counseling (SSC) is an important instrument to support cancer patients, for example, regarding legal support, or rehabilitation. Several countries have established on-site SSC in routine care. Previous analyses have shown that SSC utilization varies across cancer centers. This analysis investigates patient and center-level predictors that explain variations in SSC utilization between centers. METHODS: Logistic multilevel analysis was performed with data from 19,865 prostate cancer patients from 102 prostate cancer centers in Germany and Switzerland. Data was collected within an observational study between July 2016 and June 2020 using survey (online and paper) and tumor documentation. RESULTS: The intraclass correlation coefficient for the null model implies that 51% of variance in SSC utilization is attributable to the center a patient is treated in. Patients aged 80 years and older, with higher education, private insurance, without comorbidities, localized intermediate risk, and undergoing androgen deprivation therapy before study inclusion were less likely to utilize SSC. Undergoing primary radiotherapy, active surveillance, or watchful waiting as compared to prostatectomy was associated with a lower likelihood of SSC utilization. Significant negative predictors at the center level were university hospital, center's location in Switzerland, and a short period of certification. CONCLUSION: The results show that patient and center characteristics contribute to explaining the variance in SSC utilization in prostate cancer centers to a large extent. The findings may indicate different organizational processes in the countries included and barriers in the sectoral structure of the healthcare system. In-depth analyses of processes within cancer centers may provide further insights into the reasons for variance in SSC utilization.