Cited by 6,587Cardiac, Anesthesia and Surgical OutcomesChronic Disease Management StrategiesFrailty in Older Adults

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Validation of a combined comorbidity index

Charlson, Mary, Szatrowski, Ted P., Peterson, Janey, Gold, Jeffrey·1994·Journal of Clinical Epidemiology

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Abstract

The basic objective of this paper is to evaluate an age-comorbidity index in a cohort of patients who were originally enrolled in a prospective study to identify risk factors for peri-operative complications. Two-hundred and twenty-six patients were enrolled in the study. The participants were patients with hypertension or diabetes who underwent elective surgery between 1982 and 1985 and who survived to discharge. Two-hundred and eighteen patients survived until discharge. These patients were followed for at least five years post-operatively. The estimated relative risk of death for each comorbidity rank was 1.4 and for each decade of age was 1.4. When age and comorbidity were modelled as a combined age-comorbidity score, the estimated relative risk for each combined age-comorbidity unit was 1.45. Thus, the estimated relative risk of death from an increase of one in the comorbidity score proved approximately equal to that from an additional decade of age. The combined age-comorbidity score may be useful in some longitudinal studies to estimate relative risk of death from prognostic clinical covariates.

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A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90171-8 · Cited by 49,742
Self-citation
Multifactorial Index of Cardiac Risk in Noncardiac Surgical Procedures
Goldman, L., Caldera, D. L., Nussbaum, S. R., Southwick, F. S., Krogstad, D. J., Murray, B. E., Burke, D. S., O’Malley, T. A., Goroll, A. H., Caplan, C. H., et al. (1977) · New England Journal of Medicine · doi:10.1056/nejm197710202971601 · Cited by 2,738
The importance of classifying initial co-morbidity in evaluating the outcome of diabetes mellitus
Kaplan, M. H., & Feinstein, A. R. (1974) · Journal of Chronic Diseases · doi:10.1016/0021-9681(74)90017-4 · Cited by 668
Predicting Survival in Adults with End-Stage Renal Disease: An Age Equivalence Index
Hutchinson, T. A., THOMAS, D. C., & MACGIBBON, B. (1982) · Annals of Internal Medicine · doi:10.7326/0003-4819-96-4-417 · Cited by 164
The Preoperative and Intraoperative Hemodynamic Predictors of Postoperative Myocardial Infarction or Ischemia in Patients Undergoing Noncardiac Surgery
Charlson, M. E., MacKenzie, C. R., Gold, J. P., Aleš, K. L., Topkins, M. J., Fairclough, G. F., & Shires, G. T. (1989) · Annals of Surgery · doi:10.1097/00000658-198911000-00012 · Cited by 113
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Rose, 1968, Cardiovascular Survey Methods World Health Organization Monograph, 172

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Orthostatic hypotension in very old individuals living in nursing homes: the PARTAGE study
Valbusa, F., Labat, C., Salvi, P., Vivian, M. E., Hanon, O., & Benetos, A. (2012) · Journal of Hypertension · doi:10.1097/hjh.0b013e32834d3d73 · Cited by 91
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McIsaac, D. I., Gershon, A. S., Wijeysundera, D. N., Bryson, G. L., Badner, N. H., & van Walraven, C. (2015) · Anesthesiology · doi:10.1097/aln.0000000000000692 · Cited by 91
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Point-of-use water filtration reduces endemic Pseudomonas aeruginosa infections on a surgical intensive care unit
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“Mini Nutritional Assessment Short Form (MNA-SF) [20] were assessed, and comorbidity was determined with the Charlson index [21].”
Method
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“The Charlson comorbidity index provided data on physical comorbidities.(37) The Charlson, originally designed for cancer patients, assigns weights to 19 medical conditions with higher scores representing more physical comorbidities.”
Method
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Method
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Effect of chronic urticaria on US patients: analysis of the National Health and Wellness Survey
Vietri, J., Turner, S. J., Tian, H., Isherwood, G., Balp, M., & Gabriel, S. (2015) · Annals of Allergy Asthma & Immunology · doi:10.1016/j.anai.2015.06.030 · Cited by 87
Treatment patterns and low-density lipoprotein cholesterol (LDL-C) goal attainment among patients receiving high- or moderate-intensity statins
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Implementation of Transcatheter Aortic Valve Replacement in France
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Risk Factors Associated With Medication Errors Among Patients Suffering From Chronic Disorders
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“The comorbidities were scored using the CCI scale (31).”
Method

Authors: Charlson, M., Szatrowski, T. P., Peterson, J., & Gold, J.
Affiliations: Hospital for Special Surgery (US)
Cornell University (US)
ORCID: Charlson, Mary
Venue: Journal of Clinical Epidemiology
Publisher: Elsevier BV
Published: 1994-11
Volume: 47
Issue: 11
Pages: 1245-1251
ISSN: 0895-4356 (ISSN-L)
DOI: 10.1016/0895-4356(94)90129-5
OpenAlex: W2154692607
Cited by: 6,587
References: 5
Citations by year: 2026: 263 · 2025: 344 · 2024: 417 · 2023: 468 · 2022: 569 · 2021: 671 · 2020: 593 · 2019: 477 · 2018: 448 · 2017: 365 · 2016: 303 · 2015: 288 · 2014: 255 · 2013: 212 · 2012: 166
FWCI: 3.14
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Journal of Clinical Epidemiology (publishedVersion)
PubMed (publishedVersion)
Funders: National Heart, Lung, and Blood Institute (R23 HL27613)
National Institute of Arthritis and Musculoskeletal and Skin Diseases (IP60AR38520-01A1)
Topics: Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac, Anesthesia and Surgical Outcomes
Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
Keywords: comorbidity index, mortality risk, hypertension, diabetes mellitus, elective surgery, perioperative complications, relative risk, prognostic score validation, postoperative survival
MeSH terms: Age Factors, Humans, Models, Theoretical, Mortality, Prognosis, Risk, Reproducibility of Results, Cohort Studies, Comorbidity, Proportional Hazards Models, Survival Analysis

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