Decreased risk of renal cell carcinoma in patients with type 2 diabetes treated with sodium glucose cotransporter-2 inhibitors.

Patients with type 2 diabetes (T2D) are at a higher risk of developing renal cell carcinoma (RCC) than the general population. In vitro and in vivo investigations of the effects of sodium glucose cotransporter-2 inhibitors (SGLT2I) have shown a significantly reduced risk of RCC. However, the impact of these drugs on the incidence of RCC in the human population is unclear. This study aimed to examine the association between SGLT2I use and RCC risk in patients with T2D. We undertook a nationwide retrospective cohort study using the Health and Welfare Data Science Center database (2016-2020). The primary outcome was the risk of incident RCC by estimating hazard ratios (HRs) and 95% confidence intervals (CIs). Multiple Cox regression modeling was applied to analyze the association between SGLT2I use and RCC risk in patients with T2D. In a cohort of 241,772 patients with T2D who were using SGLT2Is and 483,544 participants who were not, 220 and 609 RCC cases, respectively, were recorded. The mean follow-up period of the study subjects was 2 years. There was a decreased risk of RCC for SGLT2I users after adjusting for the index year, sex, age, comorbidities, and concurrent medication (adjusted HR 0.68; 95% CI, 0.58-0.81). The sensitivity test for the propensity score 1:1-matched analyses showed similar results (adjusted HR 0.67; 95% CI, 0.55-0.81). The subgroup analysis revealed consistent results for sex, age (<70 years), and comorbidity with chronic kidney disease. The present study indicates that SGLT2I therapy significantly decreases RCC risk in patients with T2D. This finding was also consistent among the sensitivity test and subgroup analysis for those with or without chronic kidney disease/hypertension.

Modified three-layer vesicourethral reconstruction in robot-assisted radical prostatectomy can change cystography pattern and improve early recovery of continence.

BACKGROUND AND OBJECTIVES: To determine early continence outcomes after three-layer vesicourethral reconstruction during robot-assisted radical prostatectomy (RARP) and the role of postoperative cystography pattern. METHODS: Between May 2015 and January 2019, a total of 170 consecutive patients with localized prostate cancer who underwent RARP, were divided into one- and three-layer groups based on the method of vesicourethral reconstruction. Continent status, preoperative, intraoperative, postoperative, clinicopathological variables, and cystography parameters were analyzed. The patients were followed up for at least 12 months. RESULTS: Of the 170 consecutive patients, 85 with one-layer vesicourethral anastomosis, and 85 with three-layer reconstruction. The continence rates immediately after catheter removal, 4, 12, and 24 weeks after RARP were 47.1%, 75.3%, 92.9%, and 98.8% in the three-layer group; compared to 15.3%, 60%, 78.8%, and 90.6% in the one-layer group, respectively. In the multivariate analysis, three-layer reconstruction was the only independent variable with a 42% risk reduction of postprostatectomy incontinence (hazard ratio (HR): 0.58, 95% confidence interval (CI) = 0.42-0.80, p = 0.001). Cystography in the three-layer group revealed less anastomotic leakage, less sharp bladder neck angle, and higher bladder neck level category. CONCLUSIONS: Three-layer anatomical reconstruction demonstrated promising early continence outcomes, and postoperative cystography revealed a specific pattern more associated with continence.

Effect of Clinical Complete Remission Following Neoadjuvant Pembrolizumab or Chemotherapy in Bladder-Preservation Strategy in Patients with Muscle-Invasive Bladder Cancer Declining Definitive Local Therapy.

This study aimed to evaluate the outcomes and identify the predictive factors of a bladder-preservation approach incorporating maximal transurethral resection of bladder tumor (TURBT) coupled with either pembrolizumab or chemotherapy for patients diagnosed with muscle-invasive bladder cancer (MIBC) who opted against definitive local therapy. We conducted a retrospective analysis on 53 MIBC (cT2-T3N0M0) patients who initially planned for neoadjuvant pembrolizumab or chemotherapy after maximal TURBT but later declined radical cystectomy and radiotherapy. Post-therapy clinical restaging and conservative bladder-preservation measures were employed. Clinical complete remission was defined as negative findings on cystoscopy with biopsy confirming the absence of malignancy if performed, negative urine cytology, and unremarkable cross-sectional imaging (either CT scan or MRI) following neoadjuvant therapy. Twenty-three patients received pembrolizumab, while thirty received chemotherapy. Our findings revealed that twenty-three (43.4%) patients achieved clinical complete response after neoadjuvant therapy. The complete remission rate was marginally higher in pembrolizumab group in comparison to chemotherapy group (52.1% vs. 36.7%, p = 0.26). After a median follow-up of 37.6 months, patients in the pembrolizumab group demonstrated a longer PFS (median, not reached vs. 20.2 months, p = 0.078) and OS (median, not reached vs. 26.8 months, p = 0.027) relative to those in chemotherapy group. Those achieving clinical complete remission post-neoadjuvant therapy also exhibited prolonged PFS (median, not reached vs. 10.2 months, p < 0.001) and OS (median, not reached vs. 24.4 months, p = 0.004). In the multivariate analysis, clinical complete remission subsequent to neoadjuvant therapy was independently associated with superior PFS and OS. In conclusion, bladder preservation emerges as a viable therapeutic strategy for a carefully selected cohort of MIBC patients without definitive local therapy, especially those achieving clinical complete remission following neoadjuvant treatment. For patients unfit for chemotherapy, pembrolizumab offers a promising alternative treatment option.

Noninvasive cardiac radioablation for ventricular tachycardia: dosimetric comparison between linear accelerator- and robotic CyberKnife-based radiosurgery systems.

BACKGROUND: Few dosimetric comparisons have been published between linear accelerator (LA)-based systems and CyberKnife (CK)-based robotic radiosurgery systems for cardiac radio-ablation in ventricular tachycardia. This study aimed to compare the dosimetry of noninvasive cardiac radio-ablation deliverable on LA with that on CK. METHODS: Thirteen patients who underwent noninvasive cardiac radio-ablation by LA were included. The prescribed dose was 25 Gy in 1 fraction, and the average planning target volume was 49.8 ± 31.0 cm3 (range, 14.4-93.7 cm3). CK plans were generated for comparison. RESULTS: Both the CK and LA plans accomplished appropriate dose coverage and normal tissue sparing. Compared with the LA plans, the CK plans achieved significantly lower gradient indices (3.12 ± 0.71 vs. 3.48 ± 0.55, p = 0.031) and gradient measures (1.00 ± 0.29 cm vs. 1.17 ± 0.29 cm, p < 0.001). They had similar equivalent conformity indices (CK vs. LA: 0.84 ± 0.08 vs. 0.87 ± 0.07, p = 0.093) and maximum doses 2 cm from the planning target volume (PTV) in any direction (CK vs. LA: 50.8 ± 9.9% vs. 53.1 ± 5.3%, p = 0.423). The dosimetric advantages of CK were more prominent in patients with a PTV of ≤ 50 cm3 or a spherical PTV. In patients with a PTV of > 50 cm3 or a non-spherical PTV, the LA and CK plans were similar regarding dosimetric parameters. CK plans involved more beams (232.2 ± 110.8 beams vs. 10.0 ± 1.7 arcs) and longer treatment times (119.2 ± 43.3 min vs. 22.4 ± 1.6 min, p = 0.007). CONCLUSIONS: Both CK and LA are ideal modalities for noninvasive cardiac radio-ablation. Upfront treatment should be considered based on clinical intent.

Risk of systemic autoimmune diseases with antiarrhythmic drugs in arrhythmia patients: A retrospective cohort study.

AIM: The risk factors for systemic autoimmune disease (SAD)s with antiarrhythmic drug(AAD)s in arrhythmia patients are still unclear. This study was discussed this risk factors for SADs with AADs in arrhythmia patients. METHODS: This study was a retrospective cohort design and analyzed this relationship in an Asian population. Patients without a prior diagnosis of SADs were identified from Taiwan's National Health Insurance Research Database from January 1, 2000 to December 31, 2013. Cox regression models were estimated the hazard ratio (HR) with 95% confidence interval [CI] of SAD. RESULTS: We estimated the data of participants aged ≧ 20 or ≦ 100 years old and free of SADs at baseline. AAD users (n = 138376) had a significantly increased risk of SADs over non-AAD users. There was a significant higher risk of developing SADs in all age and sex categories. The patients who received AADs, the autoimmune disease with the significantly higher risk was systemic lupus erythematous (SLE) (adjusted HR [aHR] 1.53, 95%CI, 1.04-2.26), Sjögren syndrome (SjS) (adjusted HR [aHR] 2.06, 95%CI, 1.59-2.66) and rheumatoid arthritis (RA) (aHR, 1.57, 95%CI, 1.26-1.94). CONCLUSION: We concluded that there were statistical associations between AADs and SADs, and the higher incidence was SLE, SjS and RA in arrhythmia patients.

Recognition of Postoperative Cystography Features by Artificial Intelligence to Predict Recovery from Postprostatectomy Urinary Incontinence: A Rapid and Easy Way to Predict Functional Outcome.

Purpose: Post-operative cystography has been used to predict the recovery of postprostatectomy urinary incontinence (PPI) in patients with localized prostate cancer. This study aimed to validate the predictive value of cystography for PPI and utilize a deep learning model to identify favorable and unfavorable features. Methods: Medical records and cystography images of patients who underwent robotic-assisted radical prostatectomy for localized prostate cancer were retrospectively reviewed. Specific cystography features, including anastomosis leakage, a downward bladder neck (BN), and the bladder neck angle, were analyzed for the prediction of PPI recovery. Favorable and unfavorable patterns were categorized based on the three cystography features. The deep learning model used for transfer learning was ResNet 50 and weights were trained on ImageNet. We used 5-fold cross-validation to reduce bias. After each fold, we used a test set to confirm the model's performance. Result: A total of 170 consecutive patients were included; 31.2% experienced immediate urinary continence after surgery, while 93.5% achieved a pad-free status and 6.5% were still incontinent in the 24 weeks after surgery. We divided patients into a fast recovery group (≤4 weeks) and a slow recovery group (>4 weeks). Compared with the slow recovery group, the fast recovery group had a significantly lower anastomosis leakage rate, less of a downward bladder neck, and a larger bladder neck angle. Test data used to evaluate the model's performance demonstrated an average 5-fold accuracy, sensitivity, and specificity of 93.75%, 87.5%, and 100%, respectively. Conclusions: Postoperative cystography features can predict PPI recovery in patients with localized prostate cancer. A deep-learning model can facilitate the identification process. Further validation and exploration are required for the future development of artificial intelligence (AI) in this field.

Hypnotics Use Is Associated with Elevated Incident Atrial Fibrillation: A Propensity-Score Matched Analysis of Cohort Study.

We aimed to investigate the association between either or both of benzodiazepines (BZDs) and non-BZDs and the incidence of atrial fibrillation (AF) in the Taiwan National Health Insurance Database. The participants with at least two prescriptions of BZDs and/or non-BZDs were identified as hypnotics users, whereas those without any prescription of hypnotics were non-hypnotics users. The hypnotics and non-hypnotics cohorts were 1:1 matched on their propensity scores. A total of 109,704 AF-free individuals were included; 610 AF cases occurred in the 54,852 hypnotics users and 166 in the 54,852 non-hypnotics users during the 602,470 person-years of follow-up, with a higher risk of new-onset AF in the users than the non-users (hazard ratio (HR): 3.61, 95% confidence interval [CI]: 3.04−4.28). The users at the highest tertiles of the estimated defined daily doses per one year (DDD) had a greater risk for AF than the non-users, with the risk increasing by 7.13-fold (95% CI: 5.86−8.67) for >0.74-DDD BZDs, 10.68-fold (95% CI: 6.13−18.62) for >4.72-DDD non-BZDs, and 3.26-fold (95% CI: 2.38−4.47) for > 1.65-DDD combinations of BZDs with non-BZDs, respectively. In conclusion, hypnotics use was associated with elevated incidence of AF in the Taiwanese population, which highlighted that the high-dose usage of hypnotics needs more caution in clinical cardiological practice.

A Coronary Artery Disease Monitoring Model Built from Clinical Data and Alpha-1-Antichymotrypsin.

Coronary artery disease (CAD) is one of the most common subtypes of cardiovascular disease. The progression of CAD initiates from the plaque of atherosclerosis and coronary artery stenosis, and eventually turns into acute myocardial infarction (AMI) or stable CAD. Alpha-1-antichymotrypsin (AACT) has been highly associated with cardiac events. In this study, we proposed incorporating clinical data on AACT levels to establish a model for estimating the severity of CAD. Thirty-six healthy controls (HCs) and 162 CAD patients with stenosis rates of <30%, 30−70%, and >70% were included in this study. Plasma concentration of AACT was determined by enzyme-linked immunosorbent assay (ELISA). The receiver operating characteristic (ROC) curve analysis and associations were conducted. Further, five machine learning models, including decision tree, random forest, support vector machine, XGBoost, and lightGBM were implemented. The lightGBM model obtained a sensitivity of 81.4%, a specificity of 67.3%, and an area under the curve (AUC) of 0.822 for identifying CAD patients with a stenosis rate of <30% versus >30%. In this study, we provided a demonstration of a monitoring model with clinical data and AACT.

Situation-Background-Assessment-Recommendation Technique Improves Nurse-Physician Communication and Patient Satisfaction in Cataract Surgeries.

Background: Implementation of the Situation-Background-Assessment-Recommendation (SBAR) communication technique has been shown to increase nurse-physician communication and collaboration. However, data regarding its implementation in ophthalmology settings are limited. Objective: The purpose of this study was to evaluate the impact of implementing SBAR on nurse-physician communication and on the safety and satisfaction of patients undergoing cataract surgery. Materials and Methods: This cross-sectional study was conducted in the Ophthalmology Department of Zhongshan Hospital, Xiamen University, Xiamen, China, from April 2016 to December 2018. SBAR was implemented through a 1-h course that was repeated every 2 months for 2 years. All nurses and physicians completed the Physician-Nurse Communication Satisfaction Questionnaire before SBAR implementation and 1- and 2-year post-implementation. In addition, all patients who underwent cataract surgery during the defined pre-implementation and 1- and 2-year post-implementation periods were invited to complete a patient satisfaction questionnaire. Results: In total, 10 nurses and 6 physicians completed all three pre- and post-implementation surveys. In addition, 1215 patients undergoing cataract surgery participated: 358 in the pre-implementation phase, 425 in the 1-year post-implementation, and 432 in the 2-year post-implementation. Physician-nurse communication significantly improved in both 1- and 2-year post-implementation periods compared with the pre-implementation phase (P < 0.01). In addition, there was a significant increase in patient satisfaction scores (P < 0.01) and a decrease in medical complaints and malpractices (P < 0.01) between the pre- and post-implementation phases. Conclusion: SBAR is a useful tool for enhancing nurse-physician communication and for improving the safety and satisfaction of patients undergoing cataract surgery.