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Background: This study explores regional variations in COVID-19 hospitalization rates, in-hospital mortality, and acute kidney injury (AKI) in England. We investigated the influence of population demographic characteristics, viral strain changes, and therapeutic advances on clinical outcomes., Methods: Using hospital episode statistics, we conducted a retrospective cohort study with 749,844 admissions in 337,029 adult patients with laboratory-confirmed COVID-19 infection (March 1, 2020, to March 31, 2021). Multivariable logistic regression identified factors predicting AKI and mortality in COVID-19 hospitalized patients., Results: London had the highest number of COVID-19 admissions (131,338, 18%), followed by the North-west region (122,683, 16%). The North-west had the highest population incidence of COVID-19 hospital admissions (21,167 per million population, pmp), while the South-west had the lowest (9,292 admissions pmp). Patients in London were relatively younger (67.0 ± 17.7 years) than those in the East of England (72.2 ± 16.8 years). The shortest length of stay was in the North-east (12.2 ± 14.9 days), while the longest was in the North-west (15.2 ± 17.9 days). All eight regions had higher odds of death compared to London, ranging from OR 1.04 (95% CI 1.00, 1.07) in the South-west to OR 1.24 (95% CI 1.21, 1.28) in the North-west. Older age, Asian ethnicity, emergency admission, transfers from other hospitals, AKI presence, ITU admission, social deprivation, and comorbidity were associated with higher odds of death. AKI incidence was 30.3%, and all regions had lower odds of developing AKI compared to London. Increasing age, mixed and black ethnicity, emergency admission, transfers from other providers, ITU care, and different levels of comorbidity were associated with higher odds of developing AKI., Conclusions: London exhibited higher hospital admission numbers and AKI incidence, but lower odds of death compared to other regions in England., Trial Registration: Registered on National Library of Medicine website ( www., Clinicaltrials: gov ) with registration number NCT04579562 on 8/10/2020., (© 2024. The Author(s).)

Introduction: Drug-induced acute kidney injury (DI-AKI) is a frequent adverse event. The identification of DI-AKI is challenged by competing etiologies, clinical heterogeneity among patients, and a lack of accurate diagnostic tools. Our research aims to describe the clinical characteristics and predictive variables of DI-AKI., Methods: We analyzed data from the Drug-Induced Renal Injury Consortium (DIRECT) study (NCT02159209), an international, multicenter, observational cohort study of enriched clinically adjudicated DI-AKI cases. Cases met the primary inclusion criteria if the patient was exposed to at least 1 nephrotoxic drug for a minimum of 24 hours prior to AKI onset. Cases were clinically adjudicated, and inter-rater reliability (IRR) was measured using Krippendorff's alpha. Variables associated with DI-AKI were identified using L1 regularized multivariable logistic regression. Model performance was assessed using the area under the receiver operating characteristic curve (ROC AUC)., Results: A total of 314 AKI cases met the eligibility criteria for this analysis, and 271 (86%) cases were adjudicated as DI-AKI. The majority of the AKI cases were recruited from the United States (68%). The most frequent causal nephrotoxic drugs were vancomycin (48.7%), nonsteroidal antiinflammatory drugs (18.2%), and piperacillin/tazobactam (17.8%). The IRR for DI-AKI adjudication was 0.309. The multivariable model identified age, vascular capacity, hyperglycemia, infections, pyuria, serum creatinine (SCr) trends, and contrast media as significant predictors of DI-AKI with good performance (ROC AUC 0.86)., Conclusion: The identification of DI-AKI is challenging even with comprehensive adjudication by experienced nephrologists. Our analysis identified key clinical characteristics and outcomes of DI-AKI compared to other AKI etiologies., (© 2023 International Society of Nephrology. Published by Elsevier Inc.)

Purpose: A laboratory-based acute kidney injury (AKI) electronic-alert (e-alert) system, with e-alerts sent to the UK Renal Registry (UKRR) and collated in a master patient index (MPI), has recently been implemented in England. The aim of this study was to determine the degree of correspondence between the UKRR-MPI and AKI International Classification Disease-10 (ICD-10) N17 coding in Hospital Episode Statistics (HES) and whether hospital N17 coding correlated with 30-day mortality and emergency re-admission after AKI., Methods: AKI e-alerts in people aged ≥18 years, collated in the UKRR-MPI during 2017, were linked to HES data to identify a hospitalised AKI population. Multivariable logistic regression was used to analyse associations between absence/presence of N17 codes and clinicodemographic features. Correlation of the percentage coded with N17 and 30-day mortality and emergency re-admission after AKI were calculated at hospital level., Results: In 2017, there were 301 540 adult episodes of hospitalised AKI in England. AKI severity was positively associated with coding in HES, with a high degree of inter-hospital variability-AKI stage 1 mean of 48.2% [SD 14.0], versus AKI stage 3 mean of 83.3% [SD 7.3]. N17 coding in HES depended on demographic features, especially age (18-29 years vs. ≥85 years OR 0.22, 95% CI 0.21-0.23), as well as sex and ethnicity. There was no evidence of association between the proportion of episodes coded for AKI with short-term AKI outcomes., Conclusion: Coding of AKI in HES is influenced by many factors that result in an underestimation of AKI. Using e-alerts to triangulate the true incidence of AKI could provide a better understanding of the factors that affect hospital coding, potentially leading to improved coding, patient care and pharmacoepidemiologic research., (© 2021 John Wiley & Sons Ltd.)

Introduction: Acute kidney injury (AKI) is associated with increased health care utilization and higher costs. The Tackling AKI study was a multicenter, pragmatic, stepped-wedge cluster randomized trial that demonstrated a reduced hospital length of stay after implementation of a multifaceted AKI intervention (e-alerts, care bundle, and an education program). We tested whether this would result in cost savings., Methods: A decision-analytic tree model from the payer perspective (National Health Service in the United Kingdom) was generated on which cost-effectiveness analyses were performed using a probabilistic sensitivity analysis, accounting only for direct medical costs. Clinical data from the Tackling AKI study were used as inputs and economic and utility data derived from relevant published literature., Results: A total of 24,059 AKI episodes occurred during the study period, and in 18,887 admissions the patient was discharged alive. When all AKI stages were considered together, the cost per AKI admission was £5065 in the control arm and £4333 in the intervention arm, representing an incremental cost saving of £732 per admission with the intervention. Similar results were obtained when AKI stages were included as separate variables. Costs per quality-adjusted life year were £61,194 in the control group and £51,161 in the intervention group. At a willingness to pay threshold of £20,000 per quality-adjusted life year, the probability of the intervention being cost-effective compared with standard care was 90%., Conclusion: An organizational level approach to improve standards of AKI care reduces the cost of hospital admissions and is cost effective within the National Health Service in the United Kingdom., (© 2020 International Society of Nephrology. Published by Elsevier Inc.)

Background: Initial reports indicate a high incidence of acute kidney injury (AKI) in Coronavirus Disease 2019 (COVID-19), but more data are required to clarify if COVID-19 is an independent risk factor for AKI and how COVID-19-associated AKI may differ from AKI due to other causes. We therefore sought to study the relationship between COVID-19, AKI, and outcomes in a retrospective cohort of patients admitted to 2 acute hospitals in Derby, United Kingdom., Methods and Findings: We extracted electronic data from 4,759 hospitalised patients who were tested for COVID-19 between 5 March 2020 and 12 May 2020. The data were linked to electronic patient records and laboratory information management systems. The primary outcome was AKI, and secondary outcomes included in-hospital mortality, need for ventilatory support, intensive care unit (ICU) admission, and length of stay. As compared to the COVID-19-negative group (n = 3,374), COVID-19 patients (n = 1,161) were older (72.1 ± 16.1 versus 65.3 ± 20.4 years, p < 0.001), had a greater proportion of men (56.6% versus 44.9%, p < 0.001), greater proportion of Asian ethnicity (8.3% versus 4.0%, p < 0.001), and lower proportion of white ethnicity (75.5% versus 82.5%, p < 0.001). AKI developed in 304 (26.2%) COVID-19-positive patients (COVID-19 AKI) and 420 (12.4%) COVID-19-negative patients (AKI controls). COVID-19 patients aged 65 to 84 years (odds ratio [OR] 1.67, 95% confidence interval [CI] 1.11 to 2.50), needing mechanical ventilation (OR 8.74, 95% CI 5.27 to 14.77), having congestive cardiac failure (OR 1.72, 95% CI 1.18 to 2.50), chronic liver disease (OR 3.43, 95% CI 1.17 to 10.00), and chronic kidney disease (CKD) (OR 2.81, 95% CI 1.97 to 4.01) had higher odds for developing AKI. Mortality was higher in COVID-19 AKI versus COVID-19 patients without AKI (60.5% versus 27.4%, p < 0.001), and AKI was an independent predictor of mortality (OR 3.27, 95% CI 2.39 to 4.48). Compared with AKI controls, COVID-19 AKI was observed in a higher proportion of men (58.9% versus 51%, p = 0.04) and lower proportion with white ethnicity (74.7% versus 86.9%, p = 0.003); was more frequently associated with cerebrovascular disease (11.8% versus 6.0%, p = 0.006), chronic lung disease (28.0% versus 19.3%, p = 0.007), diabetes (24.7% versus 17.9%, p = 0.03), and CKD (34.2% versus 20.0%, p < 0.001); and was more likely to be hospital acquired (61.2% versus 46.4%, p < 0.001). Mortality was higher in the COVID-19 AKI as compared to the control AKI group (60.5% versus 27.6%, p < 0.001). In multivariable analysis, AKI patients aged 65 to 84 years, (OR 3.08, 95% CI 1.77 to 5.35) and ≥85 years of age (OR 3.54, 95% CI 1.87 to 6.70), peak AKI stage 2 (OR 1.74, 95% CI 1.05 to 2.90), AKI stage 3 (OR 2.01, 95% CI 1.13 to 3.57), and COVID-19 (OR 3.80, 95% CI 2.62 to 5.51) had higher odds of death. Limitations of the study include retrospective design, lack of urinalysis data, and low ethnic diversity of the region., Conclusions: We observed a high incidence of AKI in patients with COVID-19 that was associated with a 3-fold higher odds of death than COVID-19 without AKI and a 4-fold higher odds of death than AKI due to other causes. These data indicate that patients with COVID-19 should be monitored for the development of AKI and measures taken to prevent this., Trial Registration: ClinicalTrials.gov NCT04407156., Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: MWT is a member of the Editorial Board of PLOS Medicine NVK, RJF & NMS have declared that no competing interests exist.

Background: Tissue advanced glycation end product (AGE) accumulation has been proposed as a marker of cumulative metabolic stress that can be assessed noninvasively by measurement of skin autofluorescence (SAF). In persons on haemodialysis, SAF is an independent risk factor for cardiovascular events (CVEs) and all-cause mortality (ACM), but data at earlier stages of chronic kidney disease (CKD) are inconclusive. We investigated SAF as a risk factor for CVEs and ACM in a prospective study of persons with CKD stage 3., Methods and Findings: Participants with estimated glomerular filtration rate (eGFR) 59 to 30 mL/min/1.73 m2 on two consecutive previous blood tests were recruited from 32 primary care practices across Derbyshire, United Kingdom between 2008 and 2010. SAF was measured in participants with CKD stage 3 at baseline, 1, and 5 years using an AGE reader (DiagnOptics). Data on hospital admissions with CVEs (based on international classification of diseases [ICD]-10 coding) and deaths were obtained from NHS Digital. Cox proportional hazards models were used to investigate baseline variables associated with CVEs and ACM. A total of 1,707 of 1,741 participants with SAF readings at baseline were included in this analysis: The mean (± SD) age was 72.9 ± 9.0 years; 1,036 (60.7%) were female, 1,681 (98.5%) were of white ethnicity, and mean (±SD) eGFR was 53.5 ± 11.9 mL/min/1.73 m2. We observed 319 deaths and 590 CVEs during a mean of 6.0 ± 1.5 and 5.1 ± 2.2 years of observation, respectively. Higher baseline SAF was an independent risk factor for CVEs (hazard ratio [HR] 1.12 per SD, 95% CI 1.03-1.22, p = 0.01) and ACM (HR 1.16, 95% CI 1.03-1.30, p = 0.01). Additionally, increase in SAF over 1 year was independently associated with subsequent CVEs (HR 1.11 per SD, 95% CI 1.00-1.22; p = 0.04) and ACM (HR 1.24, 95% CI 1.09-1.41, p = 0.001). We relied on ICD-10 codes to identify hospital admissions with CVEs, and there may therefore have been some misclassification., Conclusions: We have identified SAF as an independent risk factor for CVE and ACM in persons with early CKD. These findings suggest that interventions to reduce AGE accumulation, such as dietary AGE restriction, may reduce cardiovascular risk in CKD, but this requires testing in prospective randomised trials. Our findings may not be applicable to more ethnically diverse or younger populations., Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: MWT is an Academic Editor for PLOS Medicine.

Background: Primary care has a significant role in AKI management: two-thirds of AKI originates in the community. Through academic detailing (an evidence-based educational approach) we aimed to implement and measure the effect of a primary care-based education programme based around academic detailing and peer-reviewed audit., Methods: The education programme took place across a large clinical commissioning group (CCG) consisting of 55 primary care practices. All 55 practices participated in large group teaching sessions, 25 practices participated in academic detailing and 28 of the remaining 30 practices performed internal AKI audit. Over a 12 month period, an educational programme was delivered consisting of large group teaching sessions followed by either academic detailing sessions or self-directed AKI audit activity. Academic detailing sessions consisted of a short presentation by a consultant nephrologist followed by discussion of cases. Qualitative feedback was collected from all participants at peer review sessions. Web-based, CCG-wide questionnaires assessed baseline and post-intervention knowledge levels., Results: Nine hundred ninety-six individuals completed the questionnaires (556 at baseline, 440 at 1 yr., 288 participated in both). Exposure to AKI teaching, self-reported awareness and confidence levels were higher in the second questionnaire. There was a significant increase in the percentage of correct answers before and after the intervention (55.6 ± 21% versus 87.5 ± 20%, p < 0.001). Improvements were also seen in practices that did not participate in academic detailing. 92.9% of participants in the academic detailing sessions ranked their usefulness as high, but half of participants expressed some anxiety about discussion of cases in front of peers., Conclusion: Primary care education can improve knowledge and awareness of AKI. Small group teaching with involvement of a nephrologist was popular, although there were mixed responses to group discussion of real cases. Academic detailing did not appear more effective than other educational formats.

Background: Female sex has been included as a risk factor in models developed to predict the risk of acute kidney injury (AKI) associated with cardiac surgery, aminoglycoside nephrotoxicity and contrast-induced nephropathy. The commentary acompanying the Kidney Disease Improving Global Outcomes Clinical Practice Guideline for Acute Kidney Injury concludes that female sex is a shared susceptibility factor for acute kidney injury based on observations that female sex is associated with the development of hospital-acquired acute kidney injury. In contrast, female sex is reno-protective in animal models. In this context, we sought to examine the role of sex in hospital-associated acute kidney injury in greater detail., Methods: We utilized the Hospital Episode Statistics database to calculate the sex-stratified incidence of AKI requiring renal replacement therapy (AKI-D) among 194,157,726 hospital discharges reported for the years 1998-2013. In addition, we conducted a systematic review of the English literature to evaluate dialysis practices among men versus women with AKI., Results: Hospitalized men were more likely to develop AKI-D than hospitalized women (OR 2.19 (2.15, 2.22) p < 0.0001). We found no evidence in the published literature that dialysis practices differ between men and women with AKI., Conclusions: Based on a population of hospitalized patients which is more than 3 times larger than all previously published cohorts reporting sex-stratified AKI data combined, we conclude that male sex is associated with an increased incidence of hospital-associated AKI-D. Our study is among the first reports to highlight the protective role of female gender in AKI.

Background: Increased in-hospital mortality associated with weekend admission has been reported for many acute conditions, but no study has investigated "weekend effect" for acute kidney injury requiring dialysis (AKI-D)., Methods: In this large, propensity score matched cohort of AKI-D, we examined the impact of weekend admission and in-centre nephrology services in 53,170 AKI-D admissions between 1st April 2003 and 31st March 2015 using a hospital episode statistic dataset. Propensity score matching (PSM) was performed to match 4284 weekend admissions with AKI-D with 14,788 admissions on weekdays., Results: Of the 53,170 admissions with AKI-D in the whole dataset, 12,357 (23%) were at weekends. The unadjusted mortality for weekend admissions was significantly higher compared to admissions on weekdays (40·6% versus 39·6%, p 0·046). However, in multivariable analysis of the PSM cohort, the odds of death for weekend admissions with AKI-D was 1·01 (95%CI 0·93,1·09). Mortality was higher for weekend admissions in West Midlands (odds ratio (OR) 1·32, 95% confidence interval (CI) 1·05, 1·66) and lower in East of England (OR 0·77, 95%CI 0·59, 1·00) but was not different to weekday admissions in all other regions. In 2003-04, weekend admissions had lower odds of death (OR 0·45, 95%CI 0·21, 0·96) and in 2010-11 higher odds of death (OR 1·28, 95%CI 1·00, 1·63) but in the other ten years observed, there was no significant difference in mortality between weekday and weekend admissions. Provision of in-centre nephrology services was associated with lower odds of death at 0·57 (95%CI 0·54, 0·62)., Conclusions: Weekend admissions in patients with AKI-D had no effect on mortality. Further research is warranted to elucidate the reasons for the lower mortality in hospitals with in-centre nephrology services.

Background: Consensus guidelines for acute kidney injury (AKI) have recommended prompt treatment including attention to fluid balance, drug dosing and avoidance of nephrotoxins. These simple measures can be incorporated in a care bundle to facilitate early implementation. The objective of this study was to assess the effect of compliance with the AKI care bundle (AKI-CB) on in-hospital case-fatality and AKI progression., Methods: In this larger, propensity score-matched cohort of multifactorial AKI, we examined the impact of compliance with an AKI-CB in 3717 consecutive episodes of AKI in 3518 patients between 1 August 2013 and 31 January 2015. Propensity score matching was performed to match 939 AKI events where the AKI-CB was completed with 1823 AKI events where AKI-CB was not completed., Results: The AKI-CB was completed in 25.6% of patients within 24 h. The unadjusted case-fatality was higher when the AKI-CB was not completed versus when the AKI-CB was completed (24.4 versus 20.4%, P = 0.017). In multivariable analysis, AKI-CB completion within 24 h was associated with lower odds for in-hospital death [odds ratio (OR): 0.76; 95% confidence interval (95% CI): 0.62-0.92]. Increasing age (OR: 1.04; 95% CI: 1.03-1.05), hospital-acquired AKI (OR: 1.28; 95% CI: 1.04-1.58), AKI stage 2 (OR: 1.91; 95% CI: 1.53-2.39) and increasing Charlson's comorbidity index (CCI) [OR: 3.31 (95% CI: 2.37-4.64) for CCI of more than 5 compared with zero] had higher odds for death, whereas AKI during elective admission was associated with lower odds for death (OR: 0.29; 95% CI: 0.16-0.52). Progression to higher AKI stages was lower when the AKI-CB was completed (4.2 versus 6.7%, P = 0.02)., Conclusions: Compliance with an AKI-CB was associated with lower mortality and reduced progression of AKI to higher stages. The AKI-CB is simple and inexpensive, and could therefore be applied in all healthcare settings to improve outcomes., (© The Author 2016. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.)

Background: The absence of effective interventions in presence of increasing national incidence and case-fatality in acute kidney injury requiring dialysis (AKI-D) warrants a study of regional variation to explore any potential for improvement. We therefore studied regional variation in the epidemiology of AKI-D in English National Health Service over a period of 15 years., Method: We analysed Hospital Episode Statistics data for all patients with a diagnosis of AKI-D, using ICD-10-CM codes, in English regions between 2000 and 2015 to study temporal changes in regional incidence and case-fatality., Results: Of 203,758,879 completed discharges between 1st April 2000 and 31st March 2015, we identified 54,252 patients who had AKI-D in the nine regions of England. The population incidence of AKI-D increased variably in all regions over 15 years; however, the regional variation decreased from 3·3-fold to 1·3-fold (p<0·01). In a multivariable adjusted model, using London as the reference, in the period of 2000-2005, the North East (odd ratio (OR) 1·38; 95%CI 1·01, 1·90), East Midlands (OR 1·38; 95%CI 1·01, 1·90) and West Midlands (OR 1·38; 95%CI 1·01, 1·90) had higher odds for death, while East of England had lower odds for death (OR 0·66; 95% CI 0·49, 0·90). The North East had higher OR in all three five-year periods as compared to the other eight regions. Adjusted case-fatality showed significant variability with temporary improvement in some regions but overall there was no significant improvement in any region over 15 years., Conclusions: We observed considerable regional variation in the epidemiology of AKI-D that was not entirely attributable to variations in demographic or other identifiable clinical factors. These observations make a compelling case for further research to elucidate the reasons and identify interventions to reduce the incidence and case-fatality in all regions., Competing Interests: The authors have declared that no competing interests exist.

Nicholas Selby and colleagues describe how the definition of acute kidney injury brings opportunities and challenges in identifying patients at higher risk of adverse outcomes., Competing Interests: MWT is a member of the Editorial Board of PLOS Medicine. NVK is Chair of AKI Measurement work-stream, NHS England’s AKI Programme. In addition, NVK received £1200 from NxStage for Health Economics study in 2015, £1000 from Baxter as a member of UK Home Hemodialysis Advisory Board Member in 2011–2013, and a Travel Grant for ASN 2013 from Janssen. All other authors declare no competing interests.

Acute kidney injury (AKI) is common and is associated with poor patient outcomes, which in some cases appear associated with deficiencies in the provision of care. Care bundles (CBs) are a structured set of practices designed to improve the processes of care delivery and ultimately patient outcomes, and there have been some demonstrations of their utility in areas such as ventilator-associated pneumonia and in sepsis management. While there is a strong rationale for their use, the evidence base around AKI CBs is small but growing. Here, we review the existing data on the effectiveness of AKI CB and discuss optimal approaches to their future study. © 2016 S. Karger AG, Basel.

Acute kidney injury (AKI) severe enough to require dialysis is increasing and associated with high mortality, yet robust information about temporal epidemiology of AKI requiring dialysis in England is lacking. In this retrospective observational study of the Hospital Episode Statistics (HES) data set covering the entire English National Health Service, we identified all patients with a diagnosis of AKI requiring dialysis between 1998 and 2013. This incidence increased from 774 cases (15.9 per million people) in 1998-1999 to 11,164 cases (208.7 per million people) in 2012-2013. The unadjusted in-hospital case-fatality was 30.3% in 1998-2003 and 30.2% in 2003-2008, but significantly increased to 41.1% in 2008-2013. Compared with 2003-2008, the multivariable adjusted odds ratio for death was higher in 1998-2003 at 1.20 (95% CI: 1.10-1.30) and in 2008-2013 at 1.13 (1.07-1.18). Charlson comorbidity scores of more than five (odds ratio 2.35; 95% CI: 2.20-2.51) and emergency admissions (2.46 (2.32-2.61) had higher odds for death. The odds for death decreased in patients over 85 years from 4.83 (3.04-7.67) in 1998-2003 to 2.19 (1.99-2.41) in 2008-2013. AKI in secondary diagnosis and in other diagnoses codes had higher odds for death compared with AKI in primary diagnosis code in all three periods. Thus, the incidence of AKI requiring dialysis has increased progressively over 15 years in England. Improvement in case-fatality in 2003-2008 has not been sustained in the last 5 years.

Background: A recent report has highlighted suboptimal standards of care for acute kidney injury (AKI) patients in England. The objective of this study was to ascertain if improvement in basic standard of care by implementing a care bundle (CB) with interruptive alert improved outcomes in patients with AKI., Methods: An AKI CB linked to electronic recognition of AKI, coupled with an interruptive alert, was introduced to improve basic care delivered to patients with AKI. Outcomes were compared in patients who had the CB completed within 24 hours (early CB group) versus those who didn't have the CB completed or had it completed after 24 hours., Results: In the 11-month period, 2297 patients had 2500 AKI episodes, with 1209 and 1291 episodes occurring before and after implementation of the AKI CB with interruptive alert, respectively. The CB was completed within 24 hours in 306 (12.2%) of AKI episodes. In-hospital case-fatality was significantly lower in the early CB group (18% versus 23.1%, p 0.046). Progression to higher AKI stages was lower in the early CB group (3.9% vs. 8.1%, p 0.01). In multivariate analysis, patients in the early CB group had lower odds of death at discharge (0.641; 95% CI 0.46, 0.891), 30 days (0.707; 95% CI 0.527, 0.950), 60 days (0.704; 95% CI 0.526, 0.941) and after a median of 134 days (0.771; 95% CI 0.62, 0.958)., Conclusions: Compliance with AKI CB was associated with a decrease in case-fatality and reduced progression to higher AKI stage. Further interventions are required to improve utilization of the CB.

We describe a case of a 54-year-old man with a 2-month history of biliary colic associated with a common bile duct stone. He underwent laparoscopic cholecystectomy and developed postoperative acute kidney injury stage 3. A renal biopsy was performed and demonstrated myoglobin in the renal tubules. Retrospective creatine kinase analysis was suggestive of rhabdomyolysis. It is thought this was precipitated by simvastatin accumulation in the context of a period of hepatic impairment and elevated liver enzymes., (2014 BMJ Publishing Group Ltd.)

Hemolyitic uremic syndrome (HUS), characterized by triad of acute kidney injury, thrombocytopenia, and hemolytic anemia, has considerable morbidity and mortality and is known to be associated with diarrheal illness. It usually occurs after a diarrheal illness due to Shiga-toxin-producing Escherichia coli. Streptococcus pneumoniae is a rare but well recognized trigger for non-diarrhea associated HUS in children, but has not been reported in adults. We report a case of an adult presenting with pneumococcal pneumonia complicated by HUS and required renal replacement therapy.

Background: Despite the great interest in acute kidney injury (AKI), there have been very few studies that examined the economic impact and costing methodologies of AKI. We aimed to examine the cost and income of AKI in hospitalised patients over a period of 1 year using the NHS costing system related to that year., Methods: A total of 627 patients discharged between January 2008 and December 2008 with AKI were identified by International Classification of Disease 10 codes (ICD-10). Basic demographic data were collected using the hospital electronic records, and the severity of AKI was classified according to the Acute Kidney Injury Network (AKIN) classification. We calculated the total income and isolated the AKI income related to AKI-specific finished consultant episodes. Then we conducted a patient level costing exercise using relative value units (RVU) to compare the cost of AKI to the actual income., Results: The total spell income for all patients was GBP 1,954,922.7; the mean total income per patient was GBP 3,752.3 (95% CI 3,594.6-3,903.9). AKIN stage 3 generated significantly higher total spell and AKI income. The estimated overall cost of treating AKI was higher than the AKI income to the Primary Care Trust (GBP 1,984,543.9 vs. 1,755,395)., Conclusion: AKIN stage 3 has a significant economic impact when compared with AKIN stages 1 and 2. The move towards a patient level costing using RVU could be a more efficient way to match cost and income., (© 2014 S. Karger AG, Basel.)

Background and Aims: Current creatine-based criteria for defining acute kidney injury (AKI) are validated in general hospitalised patients but their application to cirrhotics (who are younger and have reduced muscle mass) is less certain. We aimed to evaluate current definitions of AKI (acute kidney injury network (AKIN) criteria) in a population of cirrhotic patients and correlate this with outcomes., Methods: We prospectively identified patients with AKI and clinical, radiological or histological evidence of cirrhosis. We compared them with a control group with evidence of cirrhosis and no AKI., Results: 162 cirrhotic patients were studied with a mean age of 56.8±14 years. They were predominantly male (65.4%) with alcoholic liver disease (78.4%). 110 patients had AKI: 44 stage 1, 32 stage 2 and 34 stage 3. They were well matched in age, sex and liver disease severity with 52 cirrhotics without AKI. AKI was associated with increased mortality (31.8% vs 3.8%, p<0.001). Mortality increased with each AKI stage; 3.8% in cirrhotics without AKI, 13.5% stage 1, 37.8% stage 2 and 43.2% stage 3 (p<0.001 for trend). Worsening liver disease (Child-Pugh class) correlated with increased mortality: 3.1% class A, 23.6% class B and 32.8% class C (p=0.006 for trend). AKI was associated with increased length of stay: median 6.0 days (IQR 4.0-8.75) versus 16.0 days (IQR 6.0-27.5), p<0.001. Multivariate analysis identified AKI and Child-Pugh classes B and C as independent factors associated with mortality., Conclusions: The utility of AKIN criteria is maintained in cirrhotic patients. Decompensated liver disease and AKI appear to be independent variables predicting death in cirrhotics.

Background and Objectives: Many patients with AKI are cared for by non-nephrologists. This can result in variable standards of care that contribute to poor outcomes., Design, Setting, Participants, & Measurements: To improve AKI recognition, a real-time, hospital-wide, electronic reporting system was designed based on current Acute Kidney Injury Network criteria. This system allowed prospective data collection on AKI incidence and outcomes such as mortality rate, length of hospital stay, and renal recovery. The setting was a 1139-bed teaching hospital with a tertiary referral nephrology unit., Results: An electronic reporting system was successfully introduced into clinical practice (false positive rate, 1.7%; false negative rate, 0.2%). The results showed that there were 3202 AKI episodes in 2619 patients during the 9-month study period (5.4% of hospital admissions). The in-hospital mortality rate was 23.8% and increased with more severe AKI (16.1% for stage 1 AKI versus 36.1% for stage 3) (P<0.001). More severe AKI was associated with longer length of hospital stay for stage 1 (8 days; interquartile range, 13) versus 11 days for stage 3 (interquartile range, 16) (P<0.001) and reduced chance of renal recovery (80.0% in stage 1 AKI versus 58.8% in stage 3) (P<0.001). Utility of the Acute Kidney Injury Network criteria was reduced in those with pre-existing CKD., Conclusions: AKI is common in hospitalized patients and is associated with very poor outcomes. The successful implementation of electronic alert systems to aid early recognition of AKI across all acute specialties is one strategy that may help raise standards of care.

Background: The high mortality rates that follow the onset of acute kidney injury (AKI) are well recognised. However, the mode of death in patients with AKI remains relatively under-studied, particularly in general hospitalised populations who represent the majority of those affected. We sought to describe the primary cause of death in a large group of prospectively identified patients with AKI., Methods: All patients sustaining AKI at our centre between 1(st) October 2010 and 31(st) October 2011 were identified by real-time, hospital-wide, electronic AKI reporting based on the Acute Kidney Injury Network (AKIN) diagnostic criteria. Using this system we are able to generate a prospective database of all AKI cases that includes demographic, outcome and hospital coding data. For those patients that died during hospital admission, cause of death was derived from the Medical Certificate of Cause of Death., Results: During the study period there were 3,930 patients who sustained AKI; 62.0% had AKI stage 1, 20.6% had stage 2 and 17.4% stage 3. In-hospital mortality rate was 21.9% (859 patients). Cause of death could be identified in 93.4% of cases. There were three main disease categories accounting for three quarters of all mortality; sepsis (41.1%), cardiovascular disease (19.2%) and malignancy (12.9%). The major diagnosis leading to sepsis was pneumonia, whilst cardiovascular death was largely a result of heart failure and ischaemic heart disease. AKI was the primary cause of death in only 3% of cases., Conclusions: Mortality associated with AKI remains high, although cause of death is usually concurrent illness. Specific strategies to improve outcomes may therefore need to target not just the management of AKI but also the most relevant co-existing conditions.

Background: The incidence of gentamicin-associated acute kidney injury (AKI) as defined by the RIFLE criteria is unknown., Aim and Design: We performed a retrospective observational study to examine this and the predictive value of RIFLE stage on patient outcome in this setting., Methods: We included all patients who were treated with gentamicin at our centre over a 1-month period. Data on 228 patients across all specialities were collected by manual searching of hospital notes and electronic pathology reporting systems. Information collected included baseline and peak serum creatinine results, gentamicin dose and serum levels, the presence of additional renal insults and the Stoke co-morbidity index., Results: AKI occurred in 51 (24.4%) patients; 37 (17.7%) 'Risk', 9 (4.3%) 'Injury', 5 (2.4%) 'Failure'. Independent predictors of gentamicin associated AKI were number of gentamicin levels >2 mg/l (OR 1.845, 95% CI 1.22 to 2.79) and higher baseline serum creatinine (OR 1.014, 95% CI 1.001-1.028). There was a greatly increased risk of in-hospital mortality in the AKI group as compared to those without AKI (45.1% vs. 19.1%, OR 3.48, 95% CI 1.8-6.9, P = 0.0004). Risk of in hospital mortality increased with each RIFLE stage (P < 0.0001)., Conclusion: This study shows that gentamicin-associated AKI remains a common and potentially serious clinical problem. There is a strong correlation between RIFLE class and in-hospital mortality.

Introduction: This study pools data from the UK Intensive Care National Audit and Research Center (ICNARC) Case Mix Programme (CMP) to evaluate the case mix, outcome and activity for 17,326 patients with severe acute kidney injury (AKI) occurring during the first 24 hours of admission to intensive care units (ICU)., Methods: Severe AKI admissions (defined as serum creatinine >/=300 mumol/l and/or urea >/=40 mmol/l during the first 24 hours) were extracted from the ICNARC CMP database of 276,326 admissions to UK ICUs from 1995 to 2004. Subgroups of oliguric and nonoliguric AKI were identified by daily urine output. Data on surgical status, survival and length of stay were also collected. Severity of illness scores and mortality prediction models were compared (UK Acute Physiology and Chronic Health Evaluation [APACHE] II, Stuivenberg Hospital Acute Renal Failure [SHARF] T0, SHARF II0 and the Mehta model)., Results: Severe AKI occurred in 17,326 out of 276,731 admissions (6.3%). The source of admission was nonsurgical in 83.7%. Sepsis was present in 47.3% and AKI was nonoliguric in 63.9% of cases. Admission to ICU with severe AKI accounted for 9.3% of all ICU bed-days. Oliguric AKI was associated with longer length of stay for survivors and shorter length of stay for nonsurvivors compared with nonoliguric AKI. Oliguric AKI was associated with significantly greater ICU and hospital mortality (55.8% and 77.3%, respectively) compared with nonoliguric AKI (33.4% and 49.3%, respectively). Surgery during the 1 week before admission or during the first week in the CMP unit was associated with decreased odds of mortality. UK APACHE II and the Mehta scores under-predicted the number of deaths, whereas SHARF T0 and SHARF II0 over-predicted the number of deaths., Conclusions: Severe AKI accounts for over 9% of all bed-days in adult, general ICUs, representing a considerable drain on resources. Although nonoliguric AKI continues to confer a survival benefit, overall survival from AKI in the ICU and survival to leave hospital remains poor. The use of APACHE II score measured during the first 24 hours of ICU stay performs well as compared with SHARF T0, SHARF II0 and the Mehta score, but it lacks perfect calibration.