New Model can Predict Dialysis Patients' Likelihood of Survival

by VR Sreeraman on  December 5, 2009 at 1:31 PM Organ Donation News
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A new model can help physicians determine if a kidney disease patient on dialysis is likely to die within the next few months, according to a study appearing in an upcoming issue of the Clinical Journal of the American Society Nephrology (CJASN). This clinical tool could help medical professionals initiate discussions with patients and their families about end-of-life care such as hospice.
 New Model can Predict Dialysis Patients' Likelihood of Survival
New Model can Predict Dialysis Patients' Likelihood of Survival

Some kidney disease patients on dialysis are very ill and long-term survival is not anticipated. Because dialysis can be tedious and cause medical complications, patients who know that they likely have only a short time to live may wish to consider alternatives such as stopping dialysis. Unfortunately, doctors have not had accurate ways to predict dialysis patients' likelihood of long-term survival.

Michael Germain, MD; Lewis Cohen, MD (Baystate Medical Center); and their colleagues designed a model to help physicians assess the likelihood of long-term survival for these very ill patients. The investigators derived their model after studying 512 kidney disease patients on dialysis. One major component of the model is a doctor's estimate of prognosis, called the "surprise question." (Would you be surprised if your patient died in the next six months?) The model also takes into consideration a patient's nutritional status, age, and additional illnesses or conditions.

Source: Eurekalert
SRM

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