Best Albuminuria Measurement to Predict Cardiovascular and Renal Events | Zendy

Lucie Bauer | Zendy; Insa E. Emrich | Zendy; John W. Pickering | Zendy; Kathrin Untersteller | Zendy; F. Sandermann | Zendy; Kyrill S. Rogacev | Zendy; Sarah Seiler-Mußler | Zendy; Danilo Fliser | Zendy; Gunnar H. Heine | Zendy

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Best Albuminuria Measurement to Predict Cardiovascular and Renal Events

Author(s) -

Lucie Bauer,

Insa E. Emrich,

John W. Pickering,

Kathrin Untersteller,

F. Sandermann,

Kyrill S. Rogacev,

Sarah Seiler-Mußler,

Danilo Fliser,

Gunnar H. Heine

Publication year - 2016

Publication title -

american journal of nephrology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.394

H-Index - 85

eISSN - 1421-9670

pISSN - 0250-8095

DOI - 10.1159/000446483

Subject(s) - albuminuria , medicine , kidney disease , creatinine , renal function , excretion , endocrinology , urology

Kidney Disease Improving Global Outcomes (KDIGO) guidelines encourage clinicians to estimate 24-hour albuminuria as albumin to creatinine ratio (ACR) from spot urine samples. However, ACR underestimates 24-hour albumin excretion in muscular individuals. Equations that adjust ACR for surrogates of muscle mass to yield an estimated albumin excretion rate (eAER) were developed. We hypothesised that eAER is a better predictor of cardiovascular and renal outcomes than ACR.

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