Predictive models for kidney disease: Improving global outcomes (KDIGO) defined acute kidney injury in UK cardiac surgery

Critical Care

Volumn 18, Issue 6, 2014, Pages

  Birnie, Kate ^a   Verheyden, Veerle ^b   Pagano, Domenico ^c   Bhabra, Moninder ^d   Tilling, Kate ^a   Sterne, Jonathan A ^a   Murphy, Gavin J ^b  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b UNIVERSITY OF LEICESTER   (United Kingdom)

^c UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^d UNIVERSITY HOSPITALS BIRMINGHAM NHS FOUNDATION TRUST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CREATININE;

ACUTE KIDNEY FAILURE; ADULT; AGED; ARTICLE; CONFIDENCE INTERVAL; CONTROLLED STUDY; DIAGNOSTIC VALUE; FEMALE; HEART SURGERY; HUMAN; KIDNEY DISEASE: IMPROVING GLOBAL OUTCOMES; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; PRACTICE GUIDELINE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; UNITED KINGDOM; ACUTE KIDNEY INJURY; ADVERSE EFFECTS; BLOOD; MIDDLE AGED; POSTOPERATIVE PERIOD; PROGNOSIS; RETROSPECTIVE STUDY; RISK FACTOR; STATISTICAL MODEL;

ACUTE KIDNEY INJURY; AGED; CARDIAC SURGICAL PROCEDURES; CREATININE; FEMALE; GREAT BRITAIN; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; POSTOPERATIVE PERIOD; PROGNOSIS; RETROSPECTIVE STUDIES; RISK FACTORS; ROC CURVE;

EID: 84927742026     PISSN: 13648535     EISSN: 1466609X     Source Type: Journal    
DOI: 10.1186/s13054-014-0606-x     Document Type: Article

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