Zhang et al reported 2 models for identifying a hospitalized cancer patient at risk for malnutrition. The models used different cutoffs for the Patient Generated Subjective Global Assessment (PG-SGA). The authors are from Shanxi Medical University, Changzhi Medical College and affiliated hospitals in China.
Patient selection: hospitalized cancer patient
Outcome: patient generated subjective global assessment >= 9 (needs for urgent nutritional intervention)
Parameters:
(1) left arm phase angle in degrees
(2) body mass index (BMI) in kg per square meter
(3) age in years
Parameter
Finding
Points
left arm phase angle
0.25 * (phase angle)
BMI
0.14 * (BMI)
age
-0.04 * (age)
logit(P) =
= SUM(points for all of the parameters)
risk of PG-SGA GTE 9 = risk of needing an urgent nutritional intervention =
= 1 / (1 + EXP((-1) * X))
Performance:
• The area under the ROC curve is 0.81.
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