Epidemiology of AKI: Utilizing Large Databases to Determine the Burden of AKI

Advances in Chronic Kidney Disease

Volumn 24, Issue 4, 2017, Pages 194-204

  Sawhney, Simon ^a   Fraser, Simon D ^a  

^a UNIVERSITY OF ABERDEEN   (United Kingdom)

Author keywords

Acute kidney injury; Big data; Incidence; Prognosis; Quality improvement

Indexed keywords

ACUTE KIDNEY FAILURE; CLINICAL PRACTICE; DATA BASE; DIALYSIS; DISEASE SEVERITY; FOLLOW UP; HEALTH CARE; HEALTH CARE QUALITY; HUMAN; ICD-10; MONITORING; MORBIDITY; MORTALITY; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROGNOSIS; REVIEW; BLOOD; FACTUAL DATABASE; GLOMERULUS FILTRATION RATE; INCIDENCE; INTERNATIONAL CLASSIFICATION OF DISEASES; PATHOPHYSIOLOGY; TIME FACTOR; TREATMENT OUTCOME;

CREATININE;

ACUTE KIDNEY INJURY; CREATININE; DATABASES, FACTUAL; GLOMERULAR FILTRATION RATE; HUMANS; INCIDENCE; INTERNATIONAL CLASSIFICATION OF DISEASES; PROGNOSIS; TIME FACTORS; TREATMENT OUTCOME;

EID: 85026524259     PISSN: 15485595     EISSN: 15485609     Source Type: Journal    
DOI: 10.1053/j.ackd.2017.05.001     Document Type: Review

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