Background: Acute Kidney Injury (AKI) is a common and serious clinical syndrome. There is increasing recognition of heterogeneity in observed AKI across different clinical settings. In this analysis we have utilised a large national dataset to outline, for the first time, differences in burden of hospital acquired AKI (H-AKI) and mortality risk across different treatment specialities in the English National Health Service (NHS).
View Article and Find Full Text PDFBackground: Incidence of acute kidney injury (AKI) is known to peak in winter months. This is likely influenced by seasonality of commonly associated acute illnesses. We set out to assess seasonal mortality trends for patients who develop AKI across the English National Health Service (NHS) and to better understand associations with patient 'case-mix'.
View Article and Find Full Text PDFAims: To determine differences in the management of diabetic kidney disease (DKD) relevant to patient sex, ethnicity and socio-economic group in UK primary care.
Methods: A cross-sectional analysis as of January 1, 2019 was undertaken using the IQVIA Medical Research Data dataset, to determine the proportion of people with DKD managed in accordance with national guidelines, stratified by demographics. Robust Poisson regression models were used to calculate adjusted risk ratios (aRR) adjusting for age, sex, ethnicity and social deprivation.
Creatinine-based estimated glomerular filtration rate equations (eGFRcreatinine) are used to measure excretory kidney function in clinical practice. Despite inter and intra-patient variability, eGFRcreatinine has excellent clinical utility and provides the basis for the classification system for chronic kidney disease (CKD), for kidney function monitoring, treatment interventions and referral pathways. The 4-variable modification of diet in renal disease (MDRD) eGFRcreatinine equation was introduced in 2000 and recommended by the National Institute for Health and Care Excellence (NICE) in 2008.
View Article and Find Full Text PDFObjectives: To investigate the survival benefit of transplantation versus dialysis for waitlisted kidney failure patients with a priori stratification.
Design: Systematic review and meta-analysis.
Data Sources: Online databases MEDLINE, Ovid Embase, Web of Science, Cochrane Collection, and ClinicalTrials.
Background: Routine monitoring of outcomes for patients with acute kidney injury (AKI) is important to drive ongoing quality improvement in patient care. In this study we describe the development of a case mix-adjusted 30-day mortality indicator for patients with post-hospitalization AKI (PH-AKI) across England to facilitate identification of any unwarranted centre variation in outcomes.
Methods: We utilized a routinely collected national dataset of biochemically detected AKI cases linked with national hospitals administrative and mortality data.
Post-transplant diabetes mellitus (PTDM) is common after solid organ transplantation (SOT) and associated with increased morbidity and mortality for allograft recipients. Despite the significant burden of disease, there is a paucity of literature with regards to detection, prevention and management. Evidence from the general population with diabetes may not be translatable to the unique context of SOT.
View Article and Find Full Text PDFSouth Asians have increased risk for type 2 diabetes mellitus compared with Caucasians in the general population, but data for the development of post-transplantation diabetes mellitus (PTDM) is scarce. In this retrospective analysis, data was extracted from electronic patient records at a single centre (2004-2014). Caucasians were more likely to be male, with higher age and BMI than South Asians.
View Article and Find Full Text PDFExp Clin Transplant
April 2016
Objectives: We have limited data on gender disparities between living kidney transplant donors and recipients across ethnic groups.
Materials And Methods: This was a retrospective cohort study of all living-donor kidney transplants performed at a single center in an ethnically diverse region of England. Data were extracted from the United Kingdom National Transplant Database and University Hospitals Birmingham electronic medical records.