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Both obesity and being underweight are risk factors for adverse outcomes in chronic kidney disease (CKD) patients. However, the effects of longitudinal weight changes on patients with predialysis CKD have not yet been studied. In this study, we analyzed the effects of weight change over time on the adverse outcomes in predialysis CKD population.

Longitudinal data from a multicenter prospective cohort study (KNOW-CKD) were analyzed. In a total of 2,022 patients, the percent weight change per year were calculated using regression analysis and the study subjects were classified into five categories group 1, ≤ -5%/year; group 2, -5< to≤ -2.5%/year; group 3, -2.5< to <2.5%/year; group 4, 2.5≤ < 5%/year; and group 5, ≥5%/year. The incidences of end-stage renal disease (ESRD) and the composite outcome of cardiovascular disease (CVD) and death were calculated in each group and compared to group 3 as reference.

During a median 4.4years of follow-up, 414 ESRD, and 188 composite of CVD and mortality events occurred. Both weight gain and loss were independent risk factors for adverse outcomes. There was a U-shaped correlation between the degree of longitudinal weight change and ESRD (hazard ratio 3.61, 2.15, 1.86 and 3.66, for group 1, 2, 4 and 5, respectively) and composite of CVD and death (hazard ratio 2.92, 2.15, 1.73 and 2.54, respectively), when compared to the reference group 3. The U-shape correlation was most prominent in the subgroup of estimated glomerular filtration rate <45mL/min/1.73m

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Both rapid weight gain and weight loss are associated with high risk of adverse outcomes, particularly in the advanced CKD.

Both rapid weight gain and weight loss are associated with high risk of adverse outcomes, particularly in the advanced CKD.

The risk of bladder cancer (BCa) diagnosis and recurrence necessitates cystoscopy. Improved risk stratification may inform personalized triage and surveillance strategies. We aim to develop a urinary mRNA biomarker panel for risk stratification in patients undergoing BCa screening and surveillance.

Urine samples were collected from patients undergoing cystoscopy for BCa screening or surveillance. In patients who underwent transurethral resection of bladder tumor, urine samples were categorized based on tumor histopathology, size, and focality. Subjects with intermediate and high-risk BCa based on American Urological Association (AUA) guideline for non-muscle invasive bladder cancer were classified as "increased-risk"; those with no cancer and AUA low-risk BCa were classified as "low-risk". Urine was evaluated for ROBO1, WNT5A, CDC42BPB, ABL1, CRH, IGF2, ANXA10, and UPK1B expression. A diagnostic model to detect "increased-risk" BCa was created using forward logistic regression analysis of cycle threshold ts.

Current guidelines support active surveillance (AS) for select patients with favorable intermediate risk (FIR) prostate cancer (CaP). A significant proportion of FIR CaP patients undergoing surgical treatment are found to have evidence of adverse pathology. Our objective was to determine the incidence and predictors of pathologic upgrading in FIR AS patients undergoing radical prostatectomy.

The Surveillance, Epidemiology, and End Results Prostate with Watchful Waiting (WW) database was used to identify men younger than 80 years with National Comprehensive Cancer Network FIR CaP initially opting for AS and/or WW between 2010 and 2015 and subsequently underwent radical prostatectomy at least one year following diagnosis. this website Patients were assigned into one of three subgroups based on their intermediate risk factor Gleason Score 7(3 + 4) (Group 1), prostate specific antigen level of 10-20 ng/ml (Group 2), and cT2b-c (Group 3). Pathologic upgrading was present in Group 1 if pathologic GS was 7 (4 + 3) or worse. . Additional risk factors for upgrading included uninsured or Medicaid status, diagnosis in a Western region (Group 2), African American ethnicity and higher socioeconomic status (Group 3) CONCLUSIONS FIR CaP is a clinically heterogeneous risk group with incidence of pathologic upgrading ranging from 13.3% in those with GS 7 (3 + 4) to 45.8% in those with cT2b-c disease. Risk of pathologic upgrading in FIR CaP patients initially managed with AS and/or WW is significantly associated with multiple patient-level oncologic and sociodemographic variables.

Multiple single-arm clinical trials showed promising pathologic complete response rates with neoadjuvant immune checkpoint inhibitors (ICIs) in muscle-invasive bladder cancer. We conducted a cost-effectiveness analysis comparing neoadjuvant ICIs with cisplatin-based chemotherapy (CBC).

We applied a decision analytic simulation model with a health care payer perspective to compare neoadjuvant ICIs vs. CBC. For the primary analysis we compared pembrolizumab with ddMVAC. We performed a secondary analysis with gemcitabine/cisplatin as CBC and exploratory analyses with atezolizumab or nivolumab/ipilimumab as ICI. We input pathologic complete response rates from trials or meta-analysis and costs from average sales price. Outcomes of interest included costs, 2-year recurrence-free survival (RFS), and incremental cost-effectiveness ratio (ICER) of cost per 2-year RFS. A threshold analysis estimated a price reduction for ICI to be cost-effective and one-way and probabilistic sensitivity analyses were performed.

The incremental cost of pembrolizumab compared with ddMVAC was $8,041 resulting in an incremental improvement of 1.5% in 2-year RFS for an ICER of $522,143 per 2-year RFS. A 21% reduction in cost of pembrolizumab would render it more cost-effective with an ICER of $100,000 per 2-year RFS. GC required an 89% pembrolizumab cost reduction to achieve an ICER of $100,000 per 2-year RFS. Atezolizumab appeared to be more cost-effective than ddMVAC.

ICIs were not cost-effective as neoadjuvant therapies, except when atezolizumab was compared with ddMVAC. Randomized clinical trials, larger sample sizes and longer follow-up are required to better understand the value of ICIs as neoadjuvant treatments.

ICIs were not cost-effective as neoadjuvant therapies, except when atezolizumab was compared with ddMVAC. Randomized clinical trials, larger sample sizes and longer follow-up are required to better understand the value of ICIs as neoadjuvant treatments.