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Evaluation of acute kidney injury network criteria in post-cardiosurgery elderly patients with acute kidney injury / 中华老年医学杂志
Chinese Journal of Geriatrics ; (12): 24-26, 2010.
Article in Chinese | WPRIM | ID: wpr-391783
ABSTRACT
Objective To evaluate the value of acute kidney injury network (AKIN) criteria for predicting hospital mortality in post-cardiosurgery elderly patients. Methods From October 2006 to January 2007, the elderly patients who underwent coronary artery bypass grafting or valve replacement operation were enrolled in this study. The medical data included gender, age, operation type, perioperative hemodynamic parameters, urine output, biochemical parameters and outcome. Renal function was assessed according to the AKIN criteria, and severity of illness was determined after surgery by calculating Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ ) score. Results A total of 225 patients underwent cardiac surgery during this period, 169 patients were male (75. 1%), while 56 were female (24. 9%), mean age was (66. 7±5. 0) years old. The overall hospital mortality rate was 5.8% (13/225). According to AKIN criteria, there were 125 patients with acute kidney injury (55.6%), and the hospital mortality of stage 1, 2 and 3 patients were 2. l%(2/96), 9. 1% (1/11) and 50. 0% (9/18) respectively. A significant increase was observed in mortality based on AKIN criteria (P<0. 01). By applying the area under the receiver operating characteristic curve, the AKIN criteria had a good discriminative power. Conclusions Both the incidence and mortality rate of acute kidney injury in the post-cardiosurgery elderly patients are high, the AKIN criteria is a simple and valuable method with a good prognostic capability for evaluating acute kidney injury.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Geriatrics Year: 2010 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: Chinese Journal of Geriatrics Year: 2010 Type: Article