icd9_map_quan_deyo

icd10_map_quan_deyo

icd9_map_charlson

icd10_map_charlson

<p>Derived automatically from the SAS code used in the original
publication. According to the referenced study, this provides the
best predictor of in-patient to &lt;30d mortality. Of note, Deyo drops
the distinction between leukemia, lymphoma and non-metastatic cancer.
As far as I have looked into this, in the rare cases where someone
had two or three of leukemia, lymphoma and non-metastatic cancer, the
Quan adaptation would give a lower Charlson score than the original
scheme. The original Deyo Charlson to ICD-9-CM groups does include
distinct categories for these things.</p>

datasets

Calculate comorbidities, medical risk scores, and
work very quickly and precisely with ICD-9 and ICD-10 codes. This
package enables a work flow from raw tables of ICD codes in hospital
databases to comorbidities. ICD-9 and ICD-10 comorbidity mappings from
Quan (Deyo and Elixhauser versions), Elixhauser and AHRQ included.
Common ambiguities and code formats are handled. Comorbidity
computation includes Hierarchical Condition Codes, and an
implementation of AHRQ Clinical Classifications. Risk scores include
those of Charlson and van Walraven.  US Clinical Modification, Word
Health Organization, Belgian and French ICD-10 codes are supported,
most of which are downloaded on demand.

Jack O Wasey

Comorbidity Calculations and Tools for ICD-9 and ICD-10 Codes

Jack O. Wasey

William Murphy

Anobel Odisho

Vitaly Druker

Ed Lee

Patrick McCormick

Alessandro Gasparini

Michel Lang

R Core Team 

icd9_map_quan_deyo function

<p>list of character vectors, each named by co-morbidity</p>

Format

Quan adaptation of Deyo/Charlson comorbidities — icd9_map_quan_deyo

Quan adaptation of Deyo/Charlson comorbidities

icd9_map_quan_deyo: Quan adaptation of Deyo/Charlson comorbidities

Description

Arguments

Format

References

See Also