作者: Joanne Lynn , Joan M. Teno , Frank E. Harrell
DOI:
关键词: Advance care planning 、 Statistical model 、 Prognostic variable 、 Survival rate 、 Critical illness 、 Patient care 、 End-of-life care 、 Medical emergency 、 Medicine 、 Relevance (information retrieval)
摘要: Abstract Linking survival time to an array of prognostic variables through a powerful statistical model can provide reliable, valid and potentially useful information for patient care. We present summary the recently developed SUPPORT [Study Understand Prognoses Preferences Outcomes Risks Treatment] estimating seriously ill adult inpatients illustrate possible clinical use such model. This is then translated into counseling. Clinicians are positioned evaluate relevance validity any understand their persistent shortcomings.