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Model for Predicting 30-Day Mortality for Cancer Patient in the Hospital

Purpose:

To determine the 30-day mortality rate for a patient with cancer admitted to the hospital based on the model of Ramchandran et al.

Specialty:

Hematology Oncology
General Surgery

Objective:

severity, prognosis, stage

ICD-10:

C00-C14, C15-C26, C30-C39, C40-C41, C43-C44, C45-C49, C50-C50, C51-C58, C60-C63, C64-C68, C69-C72, C73-C75, C76-C80, C81-C96, C97-C97

Description:

Ramchandran et al developed a model for predicting the 30-day mortality rate for a cancer patient in the hospital. These can help to identify a patient who may benefit from more aggressive management. The authors are from Stanford University, University of Chicago, Northwestern Memorial Hospital (Chicago), and Northwestern University.

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