Background: To determine the benefit of pelvic floor muscle exercise with visual biofeedback on promoting patient recovery from incontinence, we investigated variables associated with the early restoration of continence for patients who underwent robot-assisted radical prostatectomy. Methods: Of the 83 patients enrolled, 41 consecutive patients completed pelvic floor muscle exercise (the exercise group), and the other 42 consecutive patients just before the pelvic floor muscle exercise program commenced (the control group). The primary outcome was whether pelvic floor muscle exercise engagement was associated with zero pad continence restoration within 3 months of surgery. Results: Continence restoration percentages (defined as zero pads used per day) at 1, 3, and 6 months after surgery were 49.4%, 77.1%, and 94.0%, respectively. The exercise group achieved significantly higher recovery rates at 1 month (p=0.037), 3 months (p<0.001), and 6 months (p=0.023). Cox regression analysis demonstrated that a lower Gleason score (<8; hazard ratio, 2.167), lower prostate specific antigen (<20 ng/dL; hazard ratio, 2.909), and engagement in pelvic floor muscle exercise (hazard ratio, 3.731) were independent predictors of early recovery from postprostatectomy incontinence. Stratification by age showed that those younger than 65 years did not benefit significantly from exercise (log-rank test, p=0.08), but that their elderly counterparts, aged 65–70 years (p=0.007) and >70 years old (p=0.002) benefited significantly. Conclusion This study suggests that postoperative engagement in pelvic floor muscle exercise with biofeedback speeds up the recovery of continence in elderly patients (≥65 years old) that undergo robot-assisted radical prostatectomy.

Background: We aimed to analyze the risk factors for sudden death after diagnosis of coronavirus disease 2019 (COVID-19) in South Korea and to provide evidence for informing prevention and control interventions for patients at risk of sudden death. Methods: We included 30,302 COVID-19 related deaths registered in the patient management information system (Central Disease Control Headquarters) between January 1, 2021, and December 15, 2022. We collected their epidemiological data recorded by the reporting city, province, or country. We performed multivariate logistic regression analysis to identify risk factors for sudden death after diagnosis of COVID-19. Results: Among the 30,302 deaths, there were 7,258 (24.0%) and 23,044 (76.0%) sudden and non-sudden deaths, respectively. Sudden death means a person who died within 2 days of diagnosis and who did not receive inpatient treatment. Underlying condition, vaccination status, and place of death were significantly associated with the survival period in all age groups. Moreover, region, sex, and prescription were significantly associated with the survival period only in certain age groups. However, reinfection was not significantly associated with the survival period in any age group. Conclusion To our knowledge, this is the first study on the risk factors for sudden death after a diagnosis of COVID-19, which included age, underlying condition, vaccination status, and place of death. Additionally, individuals aged < 60 years without an underlying condition were at high risk for sudden death. However, this group has relatively low interest in health, as can be seen from the high non-vaccination rate (16.1% of the general population vs. 61.6% of the corresponding group). Therefore, there is a possibility for the presence of an uncontrolled underlying disease in this population. In addition, many sudden deaths occurred due to delayed hospital visits to continue economic activities even after the onset of COVID-19 symptoms (7 days overall vs. 10 days average for the group). In conclusion, ‘continued interest in health’ is a key factor in avoiding sudden death in the economically active group (under 60 years of age).