The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Updating and Validating the Charlson Comorbidity Index and Score for Risk Adjustment in Hospital Discharge Abstracts Using Data From 6 Countries
Abstract
With advances in the effectiveness of treatment and disease management, the contribution of chronic comorbid diseases (comorbidities) found within the Charlson comorbidity index to mortality is likely to have changed since development of the index in 1984. The authors reevaluated the Charlson index and reassigned weights to each condition by identifying and following patients to observe mortality within 1 year after hospital discharge. They applied the updated index and weights to hospital discharge data from 6 countries and tested for their ability to predict in-hospital mortality. Compared with the original Charlson weights, weights generated from the Calgary, Alberta, Canada, data (2004) were 0 for 5 comorbidities, decreased for 3 comorbidities, increased for 4 comorbidities, and did not change for 5 comorbidities. The C statistics for discriminating in-hospital mortality between the new score generated from the 12 comorbidities and the Charlson score were 0.825 (new) and 0.808 (old), respectively, in Australian data (2008), 0.828 and 0.825 in Canadian data (2008), 0.878 and 0.882 in French data (2004), 0.727 and 0.723 in Japanese data (2008), 0.831 and 0.836 in New Zealand data (2008), and 0.869 and 0.876 in Swiss data (2008). The updated index of 12 comorbidities showed good-to-excellent discrimination in predicting in-hospital mortality in data from 6 countries and may be more appropriate for use with more recent administrative data.
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Cites
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Validation of a case definition to define hypertension using administrative data
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Self-citationDeterminants of survival in behavioral variant frontotemporal dementia
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“The increase in weight for these comorbidities may be related to an aging population and the increasing severity of disease in hospitalized patients (20–23).”
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Greenberg, P. E., Fournier, A.-A., Sisitsky, T., Simes, M., Berman, R., Koenigsberg, S. H., & Kessler, R. C. (2021) · PharmacoEconomics · doi:10.1007/s40273-021-01019-4 · Cited by 838
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Association of Integrated Team-Based Care With Health Care Quality, Utilization, and Cost
Reiss-Brennan, B., Brunisholz, K. D., Dredge, C., Briot, P., Grazier, K., Wilcox, A., Savitz, L., & James, B. (2016) · JAMA · doi:10.1001/jama.2016.11232 · Cited by 303
Nutritional Status and Mortality in the Critically Ill*
Mogensen, K. M., Robinson, M. K., Casey, J. D., Gunasekera, N. S., Moromizato, T., Rawn, J. D., & Christopher, K. B. (2015) · Critical Care Medicine · doi:10.1097/ccm.0000000000001306 · Cited by 190
Brunisholz, K., Briot, P., Hamilton, S., Joy, E., Lomax, M., Barton, N., Cunningham, R., Cannon, W., & Savitz, L. (2014) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s69000 · Cited by 167
Metadata
- Authors
- Quan, H., Li, B., Couris, C. M., Fushimi, K., Graham, P., Hider, P., Januel, J.-M., & Sundararajan, V.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-02-17
- Volume
- 173
- Issue
- 6
- Pages
- 676-682
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2121656227
- Cited by
- 5,843
- References
- 7
- FWCI
- 35.01
- Type
- journal article
- Language
- en
- Open access
- closed
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