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Bedside tool for predicting the risk of postoperative dialysis in patients undergoing cardiac surgery
Rajendra H Mehta1, Joshua D Grab, Sean M O'Brien
1Duke Clinical Research Institute, Durham, NC 27715, USA. mehta007@dcri.duke.edu
Insights
A new risk score identifies patients needing dialysis after cardiac surgery. This tool aids clinicians in discussing postoperative dialysis risks with patients, improving decision-making.
Area of Science:
- Cardiology
- Nephrology
- Health Services Research
Background:
- Postoperative dialysis risk estimation is crucial for clinical decision-making and patient counseling.
- Cardiac surgery patients face risks of requiring dialysis post-procedure.
Purpose of the Study:
- To develop a simple, accurate bedside risk algorithm for predicting the need for dialysis after cardiac surgery.
- To identify key predictors of postoperative dialysis in patients undergoing coronary artery bypass grafting and/or valve surgery.
Main Methods:
- Evaluated data from 449,524 patients undergoing cardiac surgery (2002-2004) from the Society of Thoracic Surgeons National Database.
- Utilized logistic regression to identify major predictors of postoperative dialysis.
- Validated the developed risk score in an independent cohort of 86,009 patients.
Main Results:
- Postoperative dialysis was required by 1.4% of cardiac surgery patients.
- Key predictors identified include preoperative serum creatinine, age, race, surgery type, diabetes, shock, NYHA class, lung disease, recent myocardial infarction, and prior cardiovascular surgery.
- The risk score demonstrated strong predictive accuracy (c-statistic=0.83) across various cardiac surgery types.
Conclusions:
- Identified major patient risk factors for postoperative dialysis following cardiac surgery.
- Developed a simple and accurate bedside risk tool based on these factors.
- The tool is expected to enhance clinician-patient discussions regarding postoperative dialysis risks.
Background:
Estimation of an individual patient's risk for postoperative dialysis can support informed clinical decision making and patient counseling.
Methods And Results:
To develop a simple bedside risk algorithm for estimating patients' probability for dialysis after cardiac surgery, we evaluated data of 449,524 patients undergoing coronary artery bypass grafting (CABG) and/or valve surgery and enrolled in >600 hospitals participating in the Society of Thoracic Surgeons National Database (2002-2004). Logistic regression was used to identify major predictors of postoperative dialysis. Model coefficients were then converted into an additive risk score and internally validated. The model also was validated in a second sample of 86,009 patients undergoing cardiac surgery from January to June 2005. Postoperative dialysis was needed in 6451 patients after cardiac surgery (1.4%), ranging from 1.1% for isolated CABG procedures to 5.1% for CABG plus mitral valve surgery. Multivariable analysis identified preoperative serum creatinine, age, race, type of surgery (CABG plus valve or valve only versus CABG only), diabetes, shock, New York Heart Association class, lung disease, recent myocardial infarction, and prior cardiovascular surgery to be associated with need for postoperative dialysis (c statistic=0.83). The risk score accurately differentiated patients' need for postoperative dialysis across a broad risk spectrum and performed well in patients undergoing isolated CABG, off-pump CABG, isolated aortic valve surgery, aortic valve surgery plus CABG, isolated mitral valve surgery, and mitral valve surgery plus CABG (c statistic=0.83, 0.85, 0.81, 0.75, 0.80, and 0.75, respectively).
Conclusions:
Our study identifies the major patient risk factors for postoperative dialysis after cardiac surgery. These risk factors have been converted into a simple, accurate bedside risk tool. This tool should facilitate improved clinician-patient discussions about risks of postoperative dialysis.
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