Using highly detailed administrative data to predict pneumonia mortality.

ABSTRACT:

Background

Mortality prediction models generally require clinical data or are derived from information coded at discharge, limiting adjustment for presenting severity of illness in observational studies using administrative data.

Objectives

To develop and validate a mortality prediction model using administrative data available in the first 2 hospital days.

Research design

After dividing the dataset into derivation and validation sets, we created a hierarchical generalized linear mortality model that included patient demographics, comorbidities, medications, therapies, and diagnostic tests administered in the first 2 hospital days. We then applied the model to the validation set.

Subjects

Patients aged ≥ 18 years admitted with pneumonia between July 2007 and Ju

SUBMITTER: Rothberg MB 

PROVIDER: S-EPMC3909106 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature