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Survivors of severe acute kidney injury remain at high risk of death well after apparent recovery from the initial insult. Here we determine whether early nephrology follow-up after a hospitalization complicated by severe acute kidney injury associates with patient survival. This consisted of a cohort study of all hospitalized adults in Ontario from 1996 to 2008 with acute kidney injury who received temporary inpatient dialysis and survived for 90 days following discharge independent from dialysis. Propensity scores were used to match individuals with early nephrology follow-up, defined as a visit with a nephrologist within 90 days of discharge, to those without. The outcome was time to all-cause mortality of 3877 patients who met the eligibility criteria within a maximum follow-up of 2 years. A total of 1583 patients had early nephrology follow-up of whom 1184 were successfully matched 1:1 to those not receiving early follow-up. The incidence of all-cause mortality was lower in those patients with early nephrology follow-up compared with those without (8.4 compared with 10.6 per 100-patient years, hazard ratio 0.76 (95% CI: 0.62-0.93)). Thus, early nephrology follow-up after hospitalization with acute kidney injury and temporary dialysis was associated with improved survival. This finding requires definitive testing in a randomized controlled trial.

Objectives To look at the available literature on validated prediction models for contrast induced nephropathy and describe their characteristics.Design Systematic review.Data sources Medline, Embase, and CINAHL (cumulative index to nursing and allied health literature) databases.Review methods Databases searched from inception to 2015, and the retrieved reference lists hand searched. Dual reviews were conducted to identify studies published in the English language of prediction models tested with patients that included derivation and validation cohorts. Data were extracted on baseline patient characteristics, procedural characteristics, modelling methods, metrics of model performance, risk of bias, and clinical usefulness. Eligible studies evaluated characteristics of predictive models that identified patients at risk of contrast induced nephropathy among adults undergoing a diagnostic or interventional procedure using conventional radiocontrast media (media used for computed tomography or angiography, and not gadolinium based contrast).Results 16 studies were identified, describing 12 prediction models. Substantial interstudy heterogeneity was identified, as a result of different clinical settings, cointerventions, and the timing of creatinine measurement to define contrast induced nephropathy. Ten models were validated internally and six were validated externally. Discrimination varied in studies that were validated internally (C statistic 0.61-0.95) and externally (0.57-0.86). Only one study presented reclassification indices. The majority of higher performing models included measures of pre-existing chronic kidney disease, age, diabetes, heart failure or impaired ejection fraction, and hypotension or shock. No prediction model evaluated its effect on clinical decision making or patient outcomes.Conclusions Most predictive models for contrast induced nephropathy in clinical use have modest ability, and are only relevant to patients receiving contrast for coronary angiography. Further research is needed to develop models that can better inform patient centred decision making, as well as improve the use of prevention strategies for contrast induced nephropathy.