elixhauser: Classcodes for Elixhauser based on ICD-codes

Description Usage Format Details References See Also

Description

Solid tumors are subordinate to metastatic cancer. A patient with both conditions will still be classified as such but a possible (weighted) index value will only account for metastatic cancer. The same is true for "diabetes uncomplicated", which is subordinate of "diabetes complicated". See Elixhauser et al. (1998).

Usage

1

Format

A data frame with 31 rows and 8 variables:

group

comorbidity groups

icd10

regular expressions identifying ICD-10 codes of each group. Corresponds to column 'ICD-10' in table 2 of Quan et al. (2005).

icd10_short

regular expressions identifying only the first three characters of ICD-10 codes of each group. This alternative version was added only to use in emergency when only the first three digits are available. It is not an official version and we do not recommend to use it!

icd9cm

Corresponds to column 'Elixhauser's Original ICD-9-CM' in table 2 of Quan et al. (2005).

icd9cm_ahrqweb

Corresponds to column 'Elixhauser AHRQ-Web ICD-9-CM' in table 2 of Quan et al. (2005).

icd9cm_enhanced

Corresponds to column 'Enhanced ICD-9-CM' in table 2 of Quan et al. (2005).

sum_all

all weights = 1 (thus no weights)

sum_all_ahrq

as sum_all excluding "cardiac arrhythmia. Compare to icd9cm_ahrqweb which does not consider this condition.

walraven

weights suggested by Walraven et al. (2009)

sid29

weights suggested by Thompson et al. (2015) based on all conditions except cardiac arrhythmia

sid30

weights suggested by Thompson et al. (2015) based on all conditions

ahrq_mort

weights for in-hospital mortality suggested by Moore et al. (2017)

ahrq_readm

weights for readmissions suggested by Moore et al. (2017)

Details

Note that "DRG screen" as proposed in table 1 of Elixhauser et al. (1998) is not handled by the coder package. This should instead be considered as an additional pre- or post-processing step!

References

Elixhauser A, Steiner C, Harris DR, Coffey RM (1998). Comorbidity Measures for Use with Administrative Data. Med Care. 1998;36(1):8–27.

Moore, B. J., White, S., Washington, R., Coenen, N., & Elixhauser, A. (2017). Identifying Increased Risk of Readmission and In-hospital Mortality Using Hospital Administrative Data. Medical Care, 55(7), 698–705. doi: 10.1097/MLR.0000000000000735

Quan Hude et al. (2005). Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Medical care, 1130-1139. https://www.jstor.org/stable/3768193

Thompson, N. R., Fan, Y., Dalton, J. E., Jehi, L., Rosenbaum, B. P., Vadera, S., & Griffith, S. D. (2015). A new Elixhauser-based comorbidity summary measure to predict in-hospital mortality. Med Care, 53(4), 374–379. doi: 10.1097/MLR.0000000000000326

Walraven, C. Van, Austin, P. C., Jennings, A., Quan, H., Alan, J., Walraven, C. Van, … Jennings, A. (2009). A Modification of the Elixhauser Comorbidity Measures Into a Point System for Hospital Death Using Administrative Data. Medical Care, 47(6), 626–633.

See Also

Other default classcodes: ae, charlson, cps, hip_ae_hailer, rxriskv


coder documentation built on Jan. 18, 2021, 5:07 p.m.