The incidence and prognostic significance of acute kidney injury

Waikar, Sushrut S.; Liu, Kathleen D.; Chertow, Glenn M.

doi:10.1097/mnh.0b013e3280dd8c35

Cited by 101 publications

(63 citation statements)

References 74 publications

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“…Numerous studies have demonstrated that respiratory failure requiring mechanical ventilation is a key risk factor for mortality in patients with AKI. 6,11,[26][27][28] Of the four studies that have specifically compared outcomes in AKI versus ESRD, [22][23][24][25] only two 24,25 found statistically meaningful factors that were associated with increased mortality in patients with AKI. Remarkably, both reports found that the need for mechanical ventilation was higher in patients with AKI, and that the need for mechanical ventilation was an independent risk factor for mortality.…”

Section: Discussionmentioning

confidence: 99%

In Critically Ill Patients Requiring CRRT, AKI Is Associated with Increased Respiratory Failure and Death Versus ESRD

et al. 2011

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Background/aims: To compare outcomes of critically ill patients with acute kidney injury (AKI) requiring continuous renal replacement therapy (CRRT) versus those with pre-existing end-stage renal disease (ESRD) requiring CRRT to identify factors that contribute to the increased mortality seen in AKI patients. Methods: Retrospective cohort of 257 intensive care unit (ICU) patients who received CRRT. AKI is defined as requiring CRRT with an admission serum creatinine ≤1 mg/dL; ESRD is defined as chronic dialysis dependence. Primary outcome was hospital mortality. Multivariate logistic regression was performed to determine the impact of APACHE II score, intubation, vasopressors, infection, diabetes, hypertension, gender, and race on mortality. Results: Of 257 patients requiring CRRT, 28 had ESRD and 108 had AKI. Hospital mortality was higher in patients with AKI versus ESRD (69% vs. 39%, p = 0.0032). Severity of illness using APACHE II was similar in AKI and ESRD. Patients with AKI were more likely to require mechanical ventilation (89% vs. 57%, p = 0.0003). After multivariate analysis, the requirement for mechanical ventilation was the single factor associated with increased hospital mortality [odds ratio (OR): 3.1]. Conclusions: In ICU patients requiring CRRT, patients with AKI have a higher mortality than patients with ESRD due to an increased need for mechanical ventilation.

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Section: Discussionmentioning

confidence: 99%

In Critically Ill Patients Requiring CRRT, AKI Is Associated with Increased Respiratory Failure and Death Versus ESRD

et al. 2011

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“…In other words, a slight kidney injury or the presence of fewer associated complications may cause ARF in patients with underlying CKD. [26] In a population-based surveillance study of ARF, 63% of all patients with ARF who required dialysis one year following admission had preexisting CKD. [27] Hospital-acquired acute renal failure (HA-ARF) is considered an iatrogenic disorder.…”

Section: Discussionmentioning

confidence: 99%

Acute Renal Failure in Hospitalized Patients in China: A Prospective Study

Wang

et al. 2009

Renal Failure

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Acute renal failure (ARF) is a common complication in hospitalized patients, but little is known about the epidemiology of ARF in China. In this study, we performed a prospective examination of the cause, prognosis, and risk factors associated with ARF at a hospital in Shanghai, China. We considered all ARF patients who were admitted to our hospital from December 2003 to December 2006. Among the 320 ARF patients, 135 (42.2%) were over the age of 60. Sepsis, heart failure, and nephrotoxic drug use were the leading causes of ARF. The overall mortality rate was 31.9%, and mortality rate was significantly higher among the elderly. Logistic regression indicated that heart failure, respiratory failure, and malignant cancer were risk factors independently associated with poor prognosis. In this Shanghai hospital, there was a high incidence and mortality rate of patients hospitalized with ARF. The prognosis of patients who underwent renal replacement therapy was better than those who were treated more conservatively.

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“…[5][6][7][8][9] Acute kidney injury is increasingly well recognised as a public health issue and is both a consequence and a predictor of CKD. [10][11][12] Its prevalence (4.9% among hospitalised patients in the USA) is increasing, 13 owing to an ageing population and the growing burden of the same risk factors contributing to the rise in CKD (including obesity, diabetes and hypertension), and also to better recognition.…”

Section: Chapter 1 Introductionmentioning

confidence: 99%

Development of risk models for the prediction of new or worsening acute kidney injury on or during hospital admission: a cohort and nested study

Bedford

Stevens

Coulton

et al. 2016

Health Serv Deliv Res

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BackgroundAcute kidney injury (AKI) is a common clinical problem with significant morbidity and mortality. All hospitalised patients are at risk. AKI is often preventable and reversible; however, the 2009 National Confidential Enquiry into Patient Outcome and Death highlighted systematic failings of identification and management, and recommended risk assessment of all emergency admissions.ObjectivesTo develop three predictive models to stratify the risk of (1) AKI on arrival in hospital; (2) developing AKI during admission; and (3) worsening AKI if already present; and also to (4) develop a clinical algorithm for patients admitted to hospital and explore effective methods of delivery of this information at the point of care.Study designQuantitative methodology (1) to formulate predictive risk models and (2) to validate the models in both our population and a second population. Qualitative methodology to plan clinical decision support system (CDSS) development and effective integration into clinical care.Settings and participantsQuantitative analysis – the study population comprised hospital admissions to three acute hospitals of East Kent Hospitals University NHS Foundation Trust in 2011, excluding maternity and elective admissions. For validation in a second population the study included hospital admissions to Medway NHS Foundation Trust. Qualitative analysis – the sample consisted of six renal consultants (interviews) and six outreach nurses (focus group), with representation from all sites.Data collectionData (comprising age, sex, comorbidities, hospital admission and outpatient history, relevant pathology tests, drug history, baseline creatinine and chronic kidney disease stage, proteinuria, operative procedures and microbiology) were collected from the hospital data warehouse and the pathology and surgical procedure databases.Data analysisQuantitative – both traditional and Bayesian regression methods were used. Traditional methods were performed using ordinal logistic regression with univariable analyses to inform the development of multivariable analyses. Backwards selection was used to retain only statistically significant variables in the final models. The models were validated using actual and predicted probabilities, an area under the receiver operating characteristic (AUROC) curve analysis and the Hosmer–Lemeshow test. Qualitative – content analysis was employed.Main outcome measures(1) A clinical pratice algorithm to guide clinical alerting and risk modeling for AKI in emergency hospital admissions; (2) identification of the key variables that are associated with the risk of AKI; (3) validated risk models for AKI in acute hospital admissions; and (4) a qualitative analysis providing guidance as to the best approach to the implementation of clinical alerting to highlight patients at risk of AKI in hospitals.FindingsQuantitative – we have defined a clinical practice algorithm for risk assessment within the first 24 hours of hospital admission. Bayesian methodology enabled prediction of low risk but could not reliably identify high-risk patients. Traditional methods identified key variables, which predict AKI both on admission and at 72 hours post admission. Validation demonstrated an AUROC curve of 0.75 and 0.68, respectively. Predicting worsening AKI during admission was unsuccessful. Qualitative – analysis of AKI alerting gave valuable insights in terms of user friendliness, information availability, clinical communication and clinical responsibility, and has informed CDSS development.ConclusionsThis study provides valuable evidence of relationships between key variables and AKI. We have developed a clinical algorithm and risk models for risk assessment within the first 24 hours of hospital admission. However, the study has its limitations, and further analysis and testing, including continuous modelling, non-linear modelling and interaction exploration, may further refine the models. The qualitative study has highlighted the complexity regarding the implementation and delivery of alerting systems in clinical practice.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

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The incidence and prognostic significance of acute kidney injury

Cited by 101 publications

References 74 publications

In Critically Ill Patients Requiring CRRT, AKI Is Associated with Increased Respiratory Failure and Death Versus ESRD

In Critically Ill Patients Requiring CRRT, AKI Is Associated with Increased Respiratory Failure and Death Versus ESRD

Acute Renal Failure in Hospitalized Patients in China: A Prospective Study

Development of risk models for the prediction of new or worsening acute kidney injury on or during hospital admission: a cohort and nested study

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