Assessment of plasma endostatin to predict acute kidney injury in critically ill patients.

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Biomarkers of acute kidney injury - a mission impossible?Biomarkers for prediction of renal replacement therapy in acute kidney injury: a systematic review and meta-analysis.

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Assessment of plasma endostatin to predict acute kidney injury in critically ill patients.

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2017 nî lūn-bûn

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Assessment of plasma endostati ...... ry in critically ill patients.

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Assessment of plasma endostati ...... ry in critically ill patients.

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Assessment of plasma endostati ...... ry in critically ill patients.

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Assessment of plasma endostati ...... ry in critically ill patients.

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A Uusaro

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O Inkinen

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S Karlsson

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S T Vaara

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T Ala-Kokko

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V Pettilä

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P2860

Secretion of ERP57 is important for extracellular matrix accumulation and progression of renal fibrosis, and is an early sign of disease onset

2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference

Diagnosis, evaluation, and management of acute kidney injury: a KDIGO summary (Part 1).

Discovery and validation of cell cycle arrest biomarkers in human acute kidney injury

Epitope-defined monoclonal antibodies against multiplexin collagens demonstrate that type XV and XVIII collagens are expressed in specialized basement membranes.

Physiological role of collagen XVIII and endostatin.

Impact of ischemia-reperfusion on extracellular matrix processing and structure of the basement membrane of the heart

Elevated plasma levels of endostatin are associated with chronic kidney disease.

Long-term mortality and risk factors for development of end-stage renal disease in critically ill patients with and without chronic kidney disease.

Plasma endostatin may improve acute kidney injury risk prediction in critically ill patients.

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scholarly article

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10.1111/AAS.12988

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English

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Max Bell

Johan Mårtensson

Anders Larsson

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2017-08-31T00:00:00Z

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28857121

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Assessment of plasma endostatin to predict acute kidney injury in critically ill patients.

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P2860

P2860

Assessment of plasma endostatin to predict acute kidney injury in critically ill patients.

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P1476

P2093

P2860

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