1. Using Laboratory Test Results at Hospital Admission to Predict Short-term Survival in Critically Ill Patients With Metastatic or Advanced Cancer 
Lee Cheng, MD, PhD, Alma Y. DeJesus, MSN, Maria A. Rodriguez, MD 
Journal of Pain and Symptom Management 
Volume 53, Issue 4, Pages (April 2017)
DOI: /j.jpainsymman
Copyright © 2017 American Academy of Hospice and Palliative Medicine Terms and Conditions

2. Fig. 1
Model discrimination in the development and validation cohorts. The area under the receiver operating characteristic curve values in both the development cohort (0.74; 95% CI 0.71–0.77) and the validation cohort (0.70; 95% CI 0.65–0.75) indicate that the multivariable model has a good capacity to predict the risk of 14-day mortality.
Journal of Pain and Symptom Management  , DOI: ( /j.jpainsymman )
Copyright © 2017 American Academy of Hospice and Palliative Medicine Terms and Conditions

3. Fig. 2
Kaplan-Meier analysis of overall survival in the development cohort (n = 901) using laboratory test results stratified into quartiles. These survival curves indicated shorter overall survival with increasing age, lactate dehydrogenase levels, and white blood cell counts and decreasing albumin levels and platelet counts, which coincided with the findings of the multivariable analysis. In addition, higher blood urea nitrogen and creatinine levels and lower hematocrit levels were associated with shorter overall survival.
Journal of Pain and Symptom Management  , DOI: ( /j.jpainsymman )
Copyright © 2017 American Academy of Hospice and Palliative Medicine Terms and Conditions