Chung Wei Nah1,2, Lian Kah Ti3,2, Weiling Liu3, Roderica Rui Ge Ng3,4, Liang Shen3, Sophia Tsong Huey Chew3,5. 1. Yong Loo Lin School of Medicine, National University of Singapore, Singapore rnsctlk@gmail.com. 2. Department of Anesthesia, National University Health System, Singapore. 3. Yong Loo Lin School of Medicine, National University of Singapore, Singapore. 4. Department of Anesthesiology, Singapore General Hospital, Singapore. 5. Department of Cardiovascular and Metabolic Disorders, Duke-National University of Singapore Graduate Medical School, Singapore.
Abstract
OBJECTIVES: Acute kidney injury (AKI) post-cardiac surgery is associated with significant in-hospital and long-term morbidity. This study aimed to develop a risk score for postoperative AKI in a Southeast-Asian population. METHODS: A total of 2508 patients underwent cardiac surgery at the two main heart centres in Singapore between July 2008 and November 2011, of which 2385 met the inclusion criteria. The primary outcome was AKI, defined using the Acute Kidney Injury Network (AKIN) criteria. The scoring model was developed on the test cohort of 2385 and validated with another 500 prospectively recruited patients. Logistic regression analysis was used to identify independent predictors of AKI. RESULTS: The risk factors in this model are age ≥65 years, hypertension, estimate glomerular filtration rate (eGFR) ≤60 ml/min, use of intra-aortic balloon pump and cardiopulmonary bypass (CPB) time ≥120 min, which were similar to previous AKI risk models. Other risk factors in our model include preoperative anaemia, intraoperative red blood cell transfusion and lowest haematocrit during CPB, which have not been described previously. The clinical score ranged from 0 to 14 points with three major risk categories. The AKI frequencies are as follows: 0-4 points (18%), 5-8 points (39%) and 9-14 points (64%). The area under the receiver operating curve (ROC) for the test cohort was 0.70 (95% CI 0.68-0.72), similar to the validation cohort (0.75; 95% CI 0.70-0.80). CONCLUSIONS: In conclusion, the risk model is valid in predicting AKI post-cardiac surgery and can be used for the early diagnosis and treatment of AKI.
OBJECTIVES:Acute kidney injury (AKI) post-cardiac surgery is associated with significant in-hospital and long-term morbidity. This study aimed to develop a risk score for postoperative AKI in a Southeast-Asian population. METHODS: A total of 2508 patients underwent cardiac surgery at the two main heart centres in Singapore between July 2008 and November 2011, of which 2385 met the inclusion criteria. The primary outcome was AKI, defined using the Acute Kidney Injury Network (AKIN) criteria. The scoring model was developed on the test cohort of 2385 and validated with another 500 prospectively recruited patients. Logistic regression analysis was used to identify independent predictors of AKI. RESULTS: The risk factors in this model are age ≥65 years, hypertension, estimate glomerular filtration rate (eGFR) ≤60 ml/min, use of intra-aortic balloon pump and cardiopulmonary bypass (CPB) time ≥120 min, which were similar to previous AKI risk models. Other risk factors in our model include preoperative anaemia, intraoperative red blood cell transfusion and lowest haematocrit during CPB, which have not been described previously. The clinical score ranged from 0 to 14 points with three major risk categories. The AKI frequencies are as follows: 0-4 points (18%), 5-8 points (39%) and 9-14 points (64%). The area under the receiver operating curve (ROC) for the test cohort was 0.70 (95% CI 0.68-0.72), similar to the validation cohort (0.75; 95% CI 0.70-0.80). CONCLUSIONS: In conclusion, the risk model is valid in predicting AKI post-cardiac surgery and can be used for the early diagnosis and treatment of AKI.
Authors: Osama Y Safder; Khalid A Alhasan; Mohamed A Shalaby; Norah Khathlan; Suleman A Al Rezgan; Amr S Albanna; Jameela A Kari Journal: BMC Nephrol Date: 2019-03-12 Impact factor: 2.388