An unusual case of ureteric stricture post robotic partial nephrectomy of a renal mass managed by Memokath insertion.

Robotic assisted partial nephrectomy is the gold standard treatment for small renal masses. Ureteric stricture is a rare but serious complication that significantly increase the morbidity and worsens the quality of life for cancer patients. Definitive treatment such as surgical reconstruction or ureteroureterostomy is not always feasible as in patients with significant morbidity or high-risk patients. Other options include ureteric double J stent or nephrostomy tube placement with regular exchange. We present a case of iatrogenic upper ureteric stricture post robotic assisted partial nephrectomy for right renal mass that was discovered on postoperative follow up imaging treated with metallic ureteral stent (Memokath) as reconstructive surgery was difficult due to proximity to the tumor bed. We found that if reconstructive surgery is not feasible, metallic ureteral stents has good durability, better quality of life than ureteric double stents for the management of ureteric stricture.

Time to Move Beyond a Binary Criterion for Gestational Diabetes?

Over the years, several international guidelines have been developed by specialist organizations for the diagnosis of gestational diabetes mellitus (GDM). However, these guidelines vary and lack consensus on what level of glycemia defines GDM and worryingly, there is now evidence of over- or- under-diagnosis of women with GDM by current criteria. Towards this end, the National Priorities Research Program (NPRP) funded a program of research aimed at elucidating the problem with GDM diagnosis. It was determined, on completion of the project, that the solution required diagnosis of graded levels of dysglycemia in pregnancy and not just a diagnosis of presence or absence of GDM. A new diagnostic criterion (called the NPRP criterion) was created based on a single numerical summary of the three readings from the oral glucose tolerance test (GTT) that diagnosed women in pregnancy into four levels: normal, impaired, GDM and high risk GDM. This paper now examines existing GDM criteria vis-à-vis the NPRP criterion. It is noted that no significant change has happened over the years for existing criteria except for a gradual reduction in the threshold values of individual time-points or the number of time points, bringing us towards over-diagnosis of GDM in pregnancy. The new criterion unifies all readings from the GTT into one numerical value and, because it results in four levels of glycemia, represents a new way forwards for GDM diagnosis and can potentially reduce the rates of under diagnosis and over diagnosis of GDM.

Use of conditional estimates of effect in cancer epidemiology: An application to lung cancer treatment.

BACKGROUND: In oncology clinical trials, there is the assumption that randomization sufficiently balances confounding covariates and therefore average treatment effects are usually reported. This paper explores the wider benefits provided by conditioning on covariates for reasons other than mitigation of confounding. METHODS: We reanalyzed the data from primary randomized controlled trials listed in two meta-analyses to explore the significance of conditioning on smoking status in terms of the effect magnitude of treatment on progression free survival in non-small cell lung cancer. RESULTS: The reanalysis revealed that conditioning on smoking status using sub-group analyses provided the closest empiric estimate of individual treatment effect based on smoking status and significantly reduced the heterogeneity of treatment effect observed across studies. In addition, smoking status was determined to be a modifier of the effect of treatment. CONCLUSION: Conditioning on prognostic covariates in randomized trials in oncology helps generate the closest empiric estimates of individual treatment benefit, addresses heterogeneity due to varying covariate distributions across trials and facilitates future decision making as well as evidence synthesis. Conditioning using sub-group analyses also allows examination for effect modification in meta-analysis.

What is Polypharmacy in Patients with Chronic Kidney Disease? A Systematic Review.

PURPOSE: Polypharmacy presents an increasing therapeutic challenge for physicians managing patients with chronic kidney disease (CKD). However, there is a lack of consensus regarding the specific medication count threshold that defines polypharmacy in this population. The objective of this review is to establish a unified definition of polypharmacy in the CKD population by examining the diverse definitions used in previously published studies. METHODS: A comprehensive search was conducted in relevant databases (PubMed, SCOPUS, Cochrane, and disease-specific databases) from 2000 to May 2022 to identify studies with polypharmacy threshold definitions in patients with CKD. Studies meeting the inclusion criteria were included in this review, and their methodologic quality was assessed. FINDINGS: Following the screening of the search results, duplicate records and studies that did not meet the inclusion criteria were removed, resulting in a total of 18 studies included in this review. Among these, 61.1% specified the polypharmacy definition to be a threshold of ≥5 medications. In addition, 22.2% specified a high polypharmacy definition at a threshold of ≥10 medications. However, none of the studies reported on the dichotomy between kidney-related and non-kidney-related polypharmacy. IMPLICATIONS: This review indicates that a numerical threshold of ≥5 medications is commonly used to define polypharmacy in patients with CKD. Nevertheless, it remains uncertain whether a kidney-related polypharmacy definition or a high polypharmacy definition would better identify patients with CKD at risk for polypharmacy-related complications.

Prevalence and global trends of polypharmacy in patients with chronic kidney disease: A systematic review and meta-analysis.

Background and objectives: Polypharmacy and chronic kidney disease (CKD) are becoming increasingly common due to an ageing population and the rise of multimorbidity. In line with the therapeutic guidelines, managing CKD and its complications necessitates prescribing multiple medications, which predisposes patients to polypharmacy. The aim of this systematic review and meta-analysis is to describe the prevalence of polypharmacy in patients with CKD and to explore the global trends of factors driving any apparent variability in prevalence estimates. Methods: PubMed, Scopus, the Cochrane Database of Systematic Reviews (CDSR), and Google Scholar were searched from 1999 to November 2021. Study selection, data extraction, and critical appraisal were conducted by two independent reviewers. The pooled prevalence of polypharmacy was estimated utilizing the random effects model using the default double arcsine transformation. Results: This review involved 14 studies comprising of 17 201 participants, a significant proportion of which were males (56.12%). The mean age of the review population was 61.96 (SD ± 11.51) years. The overall pooled prevalence of polypharmacy amongst patients with CKD was 69% (95% CI: 49%-86%) (I2 = 100%, p < 0.0001), with a proportionately higher prevalence in North America and Europe as compared to Asia. Conclusion: The results from this meta-analysis showed a high pooled prevalence estimates of polypharmacy amongst patient cohorts with CKD. The exact interventions that are likely to significantly mitigate its effect remain uncertain and will need exploration by future prospective and systematic studies. Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/], identifier [CRD42022306572].

Identification of Prognostic Metabolomic Biomarkers at the Interface of Mortality and Morbidity in Pre-Existing TB Cases Infected With SARS-CoV-2.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection currently remains one of the biggest global challenges that can lead to acute respiratory distress syndrome (CARDS) in severe cases. In line with this, prior pulmonary tuberculosis (TB) is a risk factor for long-term respiratory impairment. Post-TB lung dysfunction often goes unrecognized, despite its relatively high prevalence and its association with reduced quality of life. In this study, we used a metabolomics analysis to identify potential biomarkers that aid in the prognosis of COVID-19 morbidity and mortality in post-TB infected patients. This analysis involved blood samples from 155 SARS-CoV-2 infected adults, of which 23 had a previous diagnosis of TB (post-TB), while 132 did not have a prior or current TB infection. Our analysis indicated that the vast majority (~92%) of post-TB individuals showed severe SARS-CoV-2 infection, required intensive oxygen support with a significantly high mortality rate (52.2%). Amongst individuals with severe COVID-19 symptoms, we report a significant decline in the levels of amino acids, notably the branched chains amino acids (BCAAs), more so in the post-TB cohort (FDR <= 0.05) in comparison to mild and asymptomatic cases. Indeed, we identified betaine and BCAAs as potential prognostic metabolic biomarkers of severity and mortality, respectively, in COVID-19 patients who have been exposed to TB. Moreover, we identified serum alanine as an important metabolite at the interface of severity and mortality. Hence, our data associated COVID-19 mortality and morbidity with a long-term metabolically driven consequence of TB infection. In summary, our study provides evidence for a higher mortality rate among COVID-19 infection patients who have history of prior TB infection diagnosis, which mandates validation in larger population cohorts.