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Multicenter Study
. 2016 Dec;109(12):777-783.
doi: 10.1093/qjmed/hcw072. Epub 2016 Jun 3.

Incidence, care quality and outcomes of patients with acute kidney injury in admitted hospital care

Affiliations
Multicenter Study

Incidence, care quality and outcomes of patients with acute kidney injury in admitted hospital care

J F Medcalf et al. QJM. 2016 Dec.

Abstract

Background/introduction: Acute kidney injury (AKI) is common in acute hospital admission and associated with worse patient outcomes.

Aim: To measure incidence, care quality and outcome of AKI in admitted hospital care.

Design: Forty-six of 168 acute NHS healthcare trusts in UK caring for 2 million acute hospital admissions per annum collected information on adults identified with AKI stage 3 (3-fold rise in serum creatinine or creatinine >354 µmol/l) through routine biochemical testing over a 5-month period in 2012.

Methods: Information was collected on patient and care characteristics. Primary outcomes were survival and recovery of kidney function at 1 month.

Results: A total of 15 647 patients were identified with biochemical AKI stage 3. Case note reviews were available for 7726 patients. In 80%, biochemical AKI stage 3 was confirmed clinically. Among this group, median age was 75 years, median length of stay was 12 days and the overall mortality within 1 month was 38%. Significant factors in a multivariable model predicting survival included age and some causes of AKI. Dipstick urinalysis, medication review, discussion with a nephrologist and acceptance for transfer to a renal unit were also associated with higher survival, but not early review by a senior doctor, acceptance for transfer to critical care or requirement for renal replacement therapy. Eighteen percent of people did not have their kidney function checked 1 month after the episode had resolved.

Discussion/conclusions: This large study of in-hospital AKI supports the efficacy of biochemical detection of AKI in common usage. AKI mortality remains substantial, length of stay comparable with single-centre studies, and much of the variation is poorly explained (model Cox and Snell R2 = 0.131) from current predictors.

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