Combination of factors helps to estimate prognosis for patients with advanced dementia
A model has been created that can help determine
the risk of death within six months for patients with advanced dementia,
according to a study in the June 9th issue of The Journal of the
American Medical Association.
Accurately estimating the life expectancy
of persons with advanced dementia is difficult and hinders palliative
care, according to background information in the article. Prognostic
information is important in guiding end-of-life decision-making,
yet accurate prognostic tools have not been developed.
Susan L. Mitchell, MD, MPH, and colleagues
identified factors associated with the risk of death in six months
in newly admitted nursing home residents with advanced dementia
and created a practical risk score to predict survival in this population.
The study included patients with advanced
dementia admitted to nursing homes in two US states (6,799 patients
and 4,631 patients). The risk score was derived in one population
and validated in the other population. The patient characteristics
that were evaluated are routinely collected in nursing homes in
the United States and some other countries as part of the Minimum
Data Set.
The variables that were found to have prognostic
value and were included in the final model were: Activities of Daily
Living score of 28, male sex, cancer, the need for oxygen therapy,
congestive heart failure, shortness of breath, no more than 25 percent
of food eaten at most meals, an unstable condition, bowel incontinence,
bedfast, older than 83 years, and not awake most of the day. Patients
that had more of these variables (higher risk score) had a higher
risk of death within six months.
". the risk score derived in this study
offers a practical approach for estimating with reasonable accuracy
the six-month prognosis of older nursing home residents with advanced
dementia," the authors wrote. "Our risk score offers an
improvement over existing prognostic guidelines used in this population
because it is based on empiric data, has greater predictive power,
and uses standardized, readily available Minimum Data Set assessments."
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