Prediction of acute kidney injury within 30 days of cardiac surgery
Objective To predict acute kidney injury after cardiac surgery. Methods The study included 28,422 cardiac surgery patients who had had no preoperative renal dialysis from June 2001 to June 2009 in 18 hospitals. Logistic regression analyses were undertaken to identify the best combination of risk fac...
| Main Authors: | Ng, S., Sanagou, M., Wolfe, R., Cochrane, A., Smith, J., Reid, Christopher |
|---|---|
| Format: | Journal Article |
| Published: |
Mosby Inc.
2014
|
| Online Access: | http://hdl.handle.net/20.500.11937/39989 |
Similar Items
Machine Learning Algorithms for Predicting and Risk Profiling of Cardiac Surgery-Associated Acute Kidney Injury
by: Penny-Dimri, J.C., et al.
Published: (2021)
by: Penny-Dimri, J.C., et al.
Published: (2021)
Hospital-level associations with 30-day patient mortality after cardiac surgery: A tutorial on the application and interpretation of marginal and multilevel logistic regression
by: Sanagou, M., et al.
Published: (2012)
by: Sanagou, M., et al.
Published: (2012)
A preoperative risk prediction model for 30-day mortality following cardiac surgery in an Australian cohort
by: Billah, B., et al.
Published: (2010)
by: Billah, B., et al.
Published: (2010)
Procedure-specific Cardiac Surgeon Volume associated with Patient outcome following Valve Surgery, but not Isolated CABG Surgery
by: Ch'ng, S., et al.
Published: (2015)
by: Ch'ng, S., et al.
Published: (2015)
The application of cardiac and renal imaging in the assessment of acute kidney injury and chronic kidney disease
by: Mahmoud, Huda S.
Published: (2022)
by: Mahmoud, Huda S.
Published: (2022)
Associations of hospital characteristics with nosocomial pneumonia after cardiac surgery can impact on standardized infection rates
by: Sanagou, M., et al.
Published: (2015)
by: Sanagou, M., et al.
Published: (2015)
Variable selection methods for multiple regressions influence the parsimony of risk prediction models for cardiac surgery
by: Karim, M., et al.
Published: (2017)
by: Karim, M., et al.
Published: (2017)
External validation and updating of a prediction model for nosocomial pneumonia after coronary artery bypass graft surgery
by: Sanagou, M., et al.
Published: (2014)
by: Sanagou, M., et al.
Published: (2014)
Missing Value Imputation Improves Mortality Risk Prediction Following Cardiac Surgery: An Investigation of an Australian Patient Cohort
by: Karim, M., et al.
Published: (2015)
by: Karim, M., et al.
Published: (2015)
Impact of early postbariatric surgery acute kidney injury on long-term renal function
by: Nor Hanipah, Zubaidah, et al.
Published: (2018)
by: Nor Hanipah, Zubaidah, et al.
Published: (2018)
Is type of injury on
Presentation at the emergency department of a traumatic
Motorcyclist predicting
Mortality within 30 days?
by: Suleman, Aehtoosham
Published: (2012)
by: Suleman, Aehtoosham
Published: (2012)
Urine output in diagnosing acute kidney injury and predicting mortality
by: Md Ralib, Azrina, et al.
Published: (2015)
by: Md Ralib, Azrina, et al.
Published: (2015)
Combining creatinine and volume kinetics identifies missed cases of acute kidney injury following cardiac arrest
by: Pickering, John W., et al.
Published: (2013)
by: Pickering, John W., et al.
Published: (2013)
Early prediction of acute kidney injury using machine learning algorithms
by: Ismail, Amelia Ritahani, et al.
Published: (2018)
by: Ismail, Amelia Ritahani, et al.
Published: (2018)
Acute kidney injury and the critically ill patient
by: Davies, Hugh, et al.
Published: (2012)
by: Davies, Hugh, et al.
Published: (2012)
Prior Coronary Artery Bypass Graft Surgery Impacts 30-day Quality of Life after Percutaneous Coronary Intervention: Evidence from the Victorian Cardiac Outcomes Registry (VCOR): 30-day QoL after PCI in patients with prior CABG
by: Ho, C.L.B., et al.
Published: (2022)
by: Ho, C.L.B., et al.
Published: (2022)
Isolated renal sarcoidosis with acute kidney injury - a rare entity
by: Ng, Tze Jian, et al.
Published: (2020)
by: Ng, Tze Jian, et al.
Published: (2020)
The association between peri-operative acute risk change (ARC) and long-term survival after cardiac surgery
by: Coulson, T., et al.
Published: (2017)
by: Coulson, T., et al.
Published: (2017)
When is 'Urgent' Really Urgent and Does it Matter? Misclassification of Procedural Status and Implications for Risk Assessment in Cardiac Surgery
by: Karim, M., et al.
Published: (2015)
by: Karim, M., et al.
Published: (2015)
Transient Acute Kidney Injury (AKI) is common following significant kidney hypoperfusion
by: Md Ralib, Azrina, et al.
Published: (2012)
by: Md Ralib, Azrina, et al.
Published: (2012)
Acute and chronic kidney disease in elderly patients with hip fracture: prevalence, risk factors and outcome with development and validation of a risk prediction model for acute kidney injury
by: Porter, Christine J., et al.
Published: (2017)
by: Porter, Christine J., et al.
Published: (2017)
Acute Risk Change for Cardiothoracic Admissions to Intensive Care (ARCTIC index): A new measure of quality in cardiac surgery
by: Coulson, T., et al.
Published: (2014)
by: Coulson, T., et al.
Published: (2014)
Biomarkers of acute kidney injury in the intensive care unit
by: Md Ralib, Azrina
Published: (2014)
by: Md Ralib, Azrina
Published: (2014)
The impact of fluid overload on mortality and acute kidney injury
by: Md Ralib, Azrina, et al.
Published: (2013)
by: Md Ralib, Azrina, et al.
Published: (2013)
The utility of biomarker excretion rates in acute kidney injury
by: Md Ralib, Azrina, et al.
Published: (2011)
by: Md Ralib, Azrina, et al.
Published: (2011)
Preoperative identification of cardiac surgery patients at risk of receiving a platelet transfusion: The Australian Cardiac Surgery Platelet Transfusion (ACSePT) risk prediction tool
by: Flint, A.W.J., et al.
Published: (2020)
by: Flint, A.W.J., et al.
Published: (2020)
The mechanisms and consequences of haemodialysis induced acute cardiac injury
by: Burton, James O.
Published: (2009)
by: Burton, James O.
Published: (2009)
Measuring the quality of perioperative care in cardiac surgery.
by: Coulson, T., et al.
Published: (2017)
by: Coulson, T., et al.
Published: (2017)
Effect of Tualang honey in acute kidney injury animal model
by: Hamad Mohamed, Zenab, et al.
Published: (2017)
by: Hamad Mohamed, Zenab, et al.
Published: (2017)
Remote effects of acute kidney injury in a porcine model
by: Gardner, David S., et al.
Published: (2016)
by: Gardner, David S., et al.
Published: (2016)
International criteria for acute kidney injury: advantages and remaining challenges
by: Selby, Nicholas M., et al.
Published: (2016)
by: Selby, Nicholas M., et al.
Published: (2016)
Investigation of the role of nutrients for protection against acute kidney injury
by: Liu, Hui-Hsuan
Published: (2017)
by: Liu, Hui-Hsuan
Published: (2017)
The urine output definition of acute kidney injury is too liberal
by: Md Ralib, Azrina, et al.
Published: (2013)
by: Md Ralib, Azrina, et al.
Published: (2013)
New considerations in the design of clinical trials of acute
kidney injury
by: Md Ralib, Azrina, et al.
Published: (2011)
by: Md Ralib, Azrina, et al.
Published: (2011)
Predictor of early diagnosis, diagnosis, or progression of acute kidney injury
by: Md Ralib, Azrina, et al.
Published: (2011)
by: Md Ralib, Azrina, et al.
Published: (2011)
An investigation of urinary trace elements as biomarkers for acute kidney injury
by: Allen, Jennifer
Published: (2020)
by: Allen, Jennifer
Published: (2020)
The Effect of Transitional Care on 30-Day Outcomes in Patients Hospitalised With Acute Heart Failure
by: Driscoll, A., et al.
Published: (2020)
by: Driscoll, A., et al.
Published: (2020)
AntiPORT: adaptation of a transfusion prediction score to an Australian cardiac surgery population
by: Yeates, J., et al.
Published: (2022)
by: Yeates, J., et al.
Published: (2022)
Sex differences in outcomes following isolated coronary artery bypass graft surgery in Australian patients: Analysis of the Australasian Society of Cardiac and Thoracic Surgeons cardiac surgery database
by: Saxena, A., et al.
Published: (2012)
by: Saxena, A., et al.
Published: (2012)
The significance of tubular and glomerular proteinuria in critically ill patients with severe acute kidney injury
by: Lim, Christopher Thiam Seong, et al.
Published: (2014)
by: Lim, Christopher Thiam Seong, et al.
Published: (2014)
Similar Items
-
Machine Learning Algorithms for Predicting and Risk Profiling of Cardiac Surgery-Associated Acute Kidney Injury
by: Penny-Dimri, J.C., et al.
Published: (2021) -
Hospital-level associations with 30-day patient mortality after cardiac surgery: A tutorial on the application and interpretation of marginal and multilevel logistic regression
by: Sanagou, M., et al.
Published: (2012) -
A preoperative risk prediction model for 30-day mortality following cardiac surgery in an Australian cohort
by: Billah, B., et al.
Published: (2010) -
Procedure-specific Cardiac Surgeon Volume associated with Patient outcome following Valve Surgery, but not Isolated CABG Surgery
by: Ch'ng, S., et al.
Published: (2015) -
The application of cardiac and renal imaging in the assessment of acute kidney injury and chronic kidney disease
by: Mahmoud, Huda S.
Published: (2022)