Perioperative Acute Kidney Injury Risk Factors and Predictive Strategies

被引：72

作者：

Hobson, Charles ^{[1
]}

Ruchi, Rupam ^{[2
]}

Bihorac, Azra ^{[2
]}

机构：

[1] Univ Florida, Dept Hlth Serv Res Management & Policy, 1225 Ctr Dr,HPNP 4151, Gainesville, FL 32611 USA

[2] Univ Florida, Dept Med, POB 100254, Gainesville, FL 32610 USA

来源：

CRITICAL CARE CLINICS | 2017年 / 33卷 / 02期

关键词：

Acute kidney injury; AKI; Prediction scores; CEUS; BOLD MRI; DWI MRI; Bio markers; RENAL RESISTIVE INDEX; CONTRAST-ENHANCED ULTRASOUND; CYCLE ARREST BIOMARKERS; QUALITY IMPROVEMENT PROGRAM; GLOMERULAR-FILTRATION-RATE; ABDOMINAL AORTIC-ANEURYSM; MEAN ARTERIAL-PRESSURE; ADULT CARDIAC-SURGERY; INTENSIVE-CARE-UNIT; NONCARDIAC SURGERY;

D O I：

10.1016/j.ccc.2016.12.008

中图分类号：

R4 [临床医学];

学科分类号：

1002 ; 100602 ;

摘要：

Acute kidney injury (AKI) is a common complication in surgical patients and is associated with increases in mortality, an increased risk for chronic kidney disease and hemodialysis after discharge, and increased cost. Better understanding of the risk factors that contribute to perioperative AKI has led to improved AKI prediction and will eventually lead to improved prevention of AKI, mitigation of injury when AKI occurs, and enhanced recovery in patients who sustain AKI. The development of advanced clinical prediction scores for AKI, new imaging techniques, and novel biomarkers for early detection of AKI provides new tools toward these ends.

引用

页码：379 / +

页数：19

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