Comparing Comorbidity Adjustment Scores for Predicting in-Hospital Mortality Using Administrative Data

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Freitas A (Author) FMUP; Santos, JV (Author) FMUP; Lobo, M (Author) FMUP; Cristina Costa Santos (Author) FMUP

Conference proceedings International

Title: RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 3

Pages: 324-331

World Conference on Information Systems and Technologies (WorldCIST)

Madeira, PORTUGAL, APR 11-13, 2017

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 2 Citations

Other information

Authenticus ID: P-00M-QB8

DOI: 10.1007/978-3-319-56541-5_33

Abstract (EN): The Charlson Comorbidity Index (CCI) is a method for classifying comorbidities as a single measure on a scale, based on ICD-9-CM codes over administrative databases. This study aims to compare different variants of the CCI and their relation with in-hospital mortality, using different weights associated to each comorbidity. Within the 9,613,563 hospitalizations in the 15-year studied period, the area under the ROC curve was higher considering the original Charlson weights, when compared to other more recent proposals. Also, all the indexes had an increased association with in-hospital mortality throughout time. For recent years this association is stronger, demonstrating an increased applicability of the Charlson index in administrative databases. The validity of the coding algorithms strongly depends on the completeness and accuracy of diagnostic coding, particularly considering secondary diagnoses. The Charlson index can be a valuable tool for longitudinal studies, but important differences among weights, through years, and for different main diagnoses, should be considered and discussed.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8