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      Difference between pre-operative and cardiopulmonary bypass mean arterial pressure is independently associated with early cardiac surgery-associated acute kidney injury

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          Abstract

          Background

          Cardiac surgery-associated acute kidney injury (CSA-AKI) contributes to increased morbidity and mortality. However, its pathophysiology remains incompletely understood. We hypothesized that intra-operative mean arterial pressure (MAP) relative to pre-operative MAP would be an important predisposing factor for CSA-AKI.

          Methods

          We performed a prospective observational study of 157 consecutive high-risk patients undergoing cardiac surgery with cardiopulmonary bypass (CPB). The primary exposure was delta MAP, defined as the pre-operative MAP minus average MAP during CPB. Secondary exposure was CPB flow. The primary outcome was early CSA-AKI, defined by a minimum RIFLE class - RISK. Univariate and multivariate logistic regression were performed to explore for association between delta MAP and CSA-AKI.

          Results

          Mean (± SD) age was 65.9 ± 14.7 years, 70.1% were male, 47.8% had isolated coronary bypass graft (CABG) surgery, 24.2% had isolated valve surgery and 16.6% had combined procedures. Mean (± SD) pre-operative, intra-operative and delta MAP were 86.6 ± 13.2, 57.4 ± 5.0 and 29.4 ± 13.5 mmHg, respectively. Sixty-five patients (41%) developed CSA-AKI within in the first 24 hours post surgery. By multivariate logistic regression, a delta MAP≥26 mmHg (odds ratio [OR], 2.8; 95%CI, 1.3-6.1, p = 0.009) and CPB flow rate ≥54 mL/kg/min (OR, 0.2, 0.1-0.5, p < 0.001) were independently associated with CSA-AKI. Additional variables associated with CSA-AKI included use of a side-biting aortic clamp (OR, 3.0; 1.3-7.1, p = 0.012), and body mass index ≥25 (OR, 4.2; 1.6-11.2, p = 0.004).

          Conclusion

          A large delta MAP and lower CPB flow during cardiac surgery are independently associated with early post-operative CSA-AKI in high-risk patients. Delta MAP represents a potentially modifiable intra-operative factor for development of CSA-AKI that necessitates further inquiry.

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          Most cited references29

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          A clinical score to predict acute renal failure after cardiac surgery.

          The risk of mortality associated with acute renal failure (ARF) after open-heart surgery continues to be distressingly high. Accurate prediction of ARF provides an opportunity to develop strategies for early diagnosis and treatment. The aim of this study was to develop a clinical score to predict postoperative ARF by incorporating the effect of all of its major risk factors. A total of 33,217 patients underwent open-heart surgery at the Cleveland Clinic Foundation (1993 to 2002). The primary outcome was ARF that required dialysis. The scoring model was developed in a randomly selected test set (n = 15,838) and was validated on the remaining patients. Its predictive accuracy was compared by area under the receiver operating characteristic curve. The score ranges between 0 and 17 points. The ARF frequency at each score level in the validation set fell within the 95% confidence intervals (CI) of the corresponding frequency in the test set. Four risk categories of increasing severity (scores 0 to 2, 3 to 5, 6 to 8, and 9 to 13) were formed arbitrarily. The frequency of ARF across these categories in the test set ranged between 0.5 and 22.1%. The score was also valid in predicting ARF across all risk categories. The area under the receiver operating characteristic curve for the score in the test set was 0.81 (95% CI 0.78 to 0.83) and was similar to that in the validation set (0.82; 95% CI 0.80 to 0.85; P = 0.39). In conclusion, a score is valid and accurate in predicting ARF after open-heart surgery; along with increasing its clinical utility, the score can help in planning future clinical trials of ARF.
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            Epidemiology and outcomes of acute renal failure in hospitalized patients: a national survey.

            The aim of this study was to provide a broad characterization of the epidemiology of acute renal failure (ARF) in the United States using national administrative data and describe its impact on hospital length of stay (LOS), patient disposition, and adverse outcomes. Using the 2001 National Hospital Discharge Survey, a nationally representative sample of discharges from nonfederal acute care hospitals in the United States, new cases of ARF were obtained from hospital discharge records coded according to the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). Multivariate regression analyses were used to explore the relation of ARF to hospital LOS and mortality as well as discharge disposition. Review of discharge data on a projected total of 29,039,599 hospitalizations identified 558,032 cases of ARF, with a frequency of 19.2 per 1000 hospitalizations. ARF was more commonly coded for in older patients; men; black individuals; and the setting of chronic kidney disease, congestive heart failure, chronic lung disease, sepsis, and cardiac surgery. ARF was associated with an adjusted prolongation of hospital LOS by 2 d (P < 0.001) and an adjusted odds ratio of 4.1 for hospital mortality and of 2.0 for discharge to short- or long-term care facilities. In a US representative sample of hospitalized patients, the presence of an ICD-9-CM code for ARF in discharge records is associated with prolonged LOS, increased mortality, and, among survivors, a greater requirement for posthospitalization care. These findings suggest that in the United States, ARF is associated with increased in-hospital and post-hospitalization resource utilization.
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              Acute kidney injury prediction following elective cardiac surgery: AKICS Score.

              Acute kidney injury (AKI) following cardiac surgery (AKICS) is associated with increased postoperative (post-op) morbidity and mortality. A prognostic score system for AKI would help anticipate patient (pt) treatment. To develop a predictive score (AKICS) for AKI following cardiac surgery, we used a broad definition of AKI, which included perioperative variables. Six hundred three pts undergoing cardiac surgery were prospectively evaluated for AKI defined as serum creatinine above 2.0 mg/dl or an increase of 50% above baseline value. Univariate and multivariate analyses were used to evaluate pre-, intra-, and post-op parameters associated with AKI. The AKICS scoring system was prospectively validated in a new data set of 215 pts with an incidence of AKI of 14%. Variables included in the AKICS score were age greater than 65, pre-op creatinine above 1.2 mg/dl, pre-op capillary glucose above 140 mg/dl, heart failure, combined surgeries, cardiopulmonary bypass time above 2 h, low cardiac output, and low central venous pressure. The AKICS score presented good calibration and discrimination in both the study group and validation data set. The AKICS system that we developed, which incorporates five risk categories, accurately predicts AKI following cardiac surgery.
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                Author and article information

                Journal
                J Cardiothorac Surg
                Journal of Cardiothoracic Surgery
                BioMed Central
                1749-8090
                2010
                8 September 2010
                : 5
                : 71
                Affiliations
                [1 ]Department of Surgery, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
                [2 ]Mazankowski Alberta Heart Institute, University of Alberta, Edmonton, Canada
                [3 ]Epidemiology Coordinating and Research Centre (EPICORE), University of Alberta, Edmonton, Canada
                [4 ]Division of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
                Article
                1749-8090-5-71
                10.1186/1749-8090-5-71
                2941753
                20825657
                1da505c3-fb7f-4ad7-af77-b228a039be49
                Copyright ©2010 Kanji et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 7 May 2010
                : 8 September 2010
                Categories
                Research Article

                Surgery
                Surgery

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