Cited by 894Chronic Disease Management StrategiesHealth Systems, Economic Evaluations, Quality of LifeHealthcare Policy and Management

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The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients

Charlson, Mary E., Charlson, Robert E., Peterson, Janey C., Marinopoulos, Spyridon S., Briggs, William M., Hollenberg, James P.·2008·Journal of Clinical Epidemiology

DOI 10.1016/j.jclinepi.2008.01.006

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Abstract

Objective (1) To determine chronic illness costs for large cohort of primary care patients, (2) to develop prospective model predicting total costs over one year, using demographic and clinical information including widely used comorbidity index.Study design and setting Data including diagnostic, medication, and resource utilization were obtained for 5,861 patients from practice-based computer system over a 1-year period beginning December 1, 1993, for retrospective analysis. Hospital cost data were obtained from hospital cost accounting system.Results Average annual per patient cost was $2,655. Older patients and those with Medicare or Medicaid had higher costs. Hospital costs were $1,558, accounting for 58.7% of total costs. In the predictive model, individuals with higher comorbidity incurred exponentially higher annual costs, from $4,317 with comorbidity score of two, to $5,986 with score of three, to $13,326 with scores greater than seven. To use an adapted comorbidity index to predict total yearly costs, four conditions should be added to the index: hypertension, depression, and use of warfarin with a weight of one, skin ulcers/cellulitis, a weight of two.Conclusion The adapted comorbidity index can be used to predict resource utilization. Predictive models may help to identify targets for reducing high costs, by prospectively identifying those at high risk.

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R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
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
Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases
DEYO, R. (1992) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(92)90133-8 · Cited by 10,452
Economic Costs of Diabetes in the U.S. in 2002
American Diabetes Association (2003) · Diabetes Care · doi:10.2337/diacare.26.3.917 · Cited by 4,147
Prevalence, Expenditures, and Complications of Multiple Chronic Conditions in the Elderly
Wolff, J. L., Starfield, B. H., & Anderson, G. F. (2002) · Archives of Internal Medicine · doi:10.1001/archinte.162.20.2269 · Cited by 2,237
Reimbursing Health Plans and Health Providers: Efficiency in Production versus Selection
Newhouse, J. P. (1996) · RePEc: Research Papers in Economics · Cited by 565
Health care costs associated with depressive and anxiety disorders in primary care
(1995) · American Journal of Psychiatry · doi:10.1176/ajp.152.3.352 · Cited by 555
Increased Medical Costs of a Population-Based Sample of Depressed Elderly Patients
Katon, W. J., Lin, E. H. B., Russo, J. E., & Unützer, J. (2003) · Archives of General Psychiatry · doi:10.1001/archpsyc.60.9.897 · Cited by 500
The Growing Burden of Chronic Disease in America
Anderson, G. F., & Horvath, J. (2004) · Public Health Reports · doi:10.1016/j.phr.2004.04.005 · Cited by 494
Potentially avoidable hospitalizations: inequalities in rates between US socioeconomic groups.
Pappas, G., Hadden, W. C., Kozak, L. J., & Fisher, G. F. (1997) · American Journal of Public Health · doi:10.2105/ajph.87.5.811 · Cited by 399

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Background
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BackgroundInfluential
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Method
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Ling, L. C., Lin, M.-H., Tsai, Y.-C., Chen, P.-S., Shen, L.-S., Kuo, H., & Shih-Feng, L. (2019) · Preprints.org · doi:10.20944/preprints201909.0296.v1 · Cited by 1
“A higher CCI indicates a greater number and severity of comorbidity with higher medical needs which lead to a higher medical burden[4-7] .”
Background
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Wang, J., Yang, Q., Xu, Y., Chen, Y., Lian, Q., & Zhang, Y. (2020) · doi:10.21203/rs.3.rs-19331/v1 · Cited by 1
“There were 17 comorbid conditions assigned with specific point values, where higher score means more comorbidities [16, 27].”
Background
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Salimi, S., Vehtari, A., Salive, M. E., & Ferrucci, L. (2021) · medRxiv · doi:10.1101/2021.03.29.21254372 · Cited by 1
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Sabatini, S., Martyr, A., Hunt, A., Gamble, L. D., Matthews, F. E., Thom, J. M., Jones, R. W., Allan, L. M., Knapp, M. R. J., Quinn, C., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3218224/v1 · Cited by 1
Integrated environmental and clinical surveillance for the prevention of acute respiratory infections (ARIs) in indoor environments and vulnerable communities (Stell-ARI)Preprint
Carducci, A., Arzilli, G., Atomsa, N. T., Lauretani, G., Verani, M., Pistelli, F., Tavoschi, L., Federigi, I., Fornili, M., Petri, D., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3687565/v1 · Cited by 1
Medication use patterns of antiepileptics and epileptic events
Shcherbakova, N. (2012) · Texas ScholarWorks (Texas Digital Library)
Characterizing downstream healthcare resource utilization and costs based on prior utilization patterns of immediate-release hydrocodone
Ben-Joseph, R. H., Bell, J. A., Chitnis, A. S., Kansal, A., Holly, P., Paramore, C., & Wild, H. (2015) · Journal of Medical Economics · doi:10.3111/13696998.2015.1105810
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Cheng, L. I., Rascati, K. L., Trice, S., Lawson, K. A., & Barner, J. C. (2011) · Value in Health · doi:10.1016/j.jval.2011.02.056
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Bailey, J. G. (2013) · Library and Archives Canada (Government of Canada)
Influence de la multi-morbidité sur l'application des recommandations de prise en charge de la BPCO
Olyve, F. (2015) · HAL
Voraussetzungen für ein neues Versorgungsmodell für ältere Menschen mit Multimorbidität
Bochum, R.-U. (2011)
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Brown, J. D. (2016) · UKnowledge (University of Kentucky) · doi:10.13023/etd.2016.435
“2% Follow-up time Mean (SD) 202 (144) 202 (143) 202 (145) 200 (144) Median (IQR) 186 (56-365) 188 (58-365) 187 (54-365) 176 (56-365) Time to retrieval Mean (SD) 93 (78) 101 (81) 91 (79) 83 (73) Median (IQR) 71 (35-130) 81 (38-143) 68 (33-132) 61 (32-113) Time to death Mean (SD) 96 (91) 94 (91) 97 (91) 100 (90) Median…”
Intracranial Meningiomas in the Elderly
Schul, D. B., Nikos, C., & Lumenta, C. B. (2017) · Springer eBooks · doi:10.1007/978-3-319-40232-1_7
Physician Agency, Patients' Trust and Institutions Within Physician Groups
Li, M. (2016) · Digital Access to Scholarship at Harvard (DASH) (Harvard University)
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Mahar, A. L. (2012) · QSpace (Queen's University Library)
Economic Implications of Alternative Sites of Death and Sites of Care in Ontario Palliative Care Recipients
Yu, M. (2013) · TSpace (University of Toronto)
Influencia de la colonización de vía aérea por Candida spp. en pacientes con Enfermedad Pulmonar Obstructiva Crónica en una unidad de cuidado intensivo de Colombia, durante el periodo 2010 a 2015.
Fandiño, Y. R. M., Ochoa, E. Y. C., Gómez, J. A. U., Palacios, J. M. R., Puerto, N. E. R., Medina, D. F. B., Rojas, M. Y. R., & Pulido, A. E. C. (2017) · Revista Cuarzo · doi:10.26752/cuarzo.v23.n1.141
Real-World Treatment Patterns in Men with Castration-Resistant Prostate Cancer Receiving Docetaxel
Davis, K. L., Gutiérrez, B., Zyczynski, T. M., & Kaye, J. A. (2015) · Journal of health economics and outcomes research · doi:10.36469/9894
Effects of Lower Gastrointestinal Tract Surgery on Survival in Elderly and Octogenarian Patients
Aydın, H. O., Avcı, T., Tezcaner, T., Karagülle, E., & Yıldırım, S. (2018) · The Turkish Journal of Geriatrics · doi:10.31086/tjgeri.2018137969
The relationship between a cirrhosis‐specific comorbidity scoring system and healthcare utilization patterns
Dashputre, A. A., Nemecek, B. D., Kamal, K. M., & Covvey, J. R. (2018) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.14531
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Fandiño, Y. R. M., Ochoa, E. Y. C., Amaya, N. A., Gómez, J. A. U., & Ayala, A. S. (2018) · Revista Colombiana de Neumología · doi:10.30789/rcneumologia.v30.n1.2018.297
Fatores prognósticos e estratégias de gerenciamento de fluxo para o manejo da sepse
Pires, H. H. G. (2018) · doi:10.11606/t.17.2018.tde-17042018-153309
The Impact of Comorbidities on Diabetes and Hypertension Co-Management and Healthcare Expenditures
Goyat, R. (2018) · The Research Repository @ WVU (West Virginia University) · doi:10.33915/etd.3752
The Relationship among a Palliative Care Service, Patient’s Factors, and Quality of Life of Post Treatment Cervical Cancer Patients: a Causal Model Approach
Utriyaprasit, K. (2019) · Siriraj Medical Journal/San Sirirat · doi:10.33192/smj.2019.41
Predicting population health focused outcomes using machine learning
Arnold, D. (2019) · doi:10.7282/t3-9ck3-9485
Assessing the Economic Burden and Health Care Utilizations of U.S. Veteran Patients with Schizophrenia
Xie, L., Kariburyo, M. F., Du, J., & Wang, Y. (2013) · Journal of health economics and outcomes research · doi:10.36469/9864
Traumatic brain injury probability of survival assessment in adults using iterative random comparison classification
Salah, M., Saatchi, R., Lecky, F. E., & Burke, D. P. (2020) · Healthcare Technology Letters · doi:10.1049/htl.2019.0029
“In 2014, Ps14 model was introduced by incorporating the Charlson Comorbidity Index (CCI) [25] to assess pre-existing medical conditions (PMCs).”
Method
RE: Concurrent Opioid and Benzodiazepine Prescriptions Among Older Women Diagnosed With Breast Cancer
Strassels, S. A., & Durham, D. D. (2020) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djaa145
Health economics of rheumatoid arthritis
Scott, D. L., & Wailoo, A. (2020) · doi:10.1093/med/9780198831433.003.0022
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Fried, D. A., Rajan, M., Tseng, C., & Helmer, D. A. (2019) · PubMed
Attitudes Toward Own Aging and Cognition among Individuals Living with and without Dementia: Findings from the IDEAL Programme and the PROTECT StudyPreprint
Sabatini, S., Martyr, A., Ukoumunne, O. C., Ballard, C. G., Collins, R., Pentecost, C., Rusted, J. M., Quinn, C., Anstey, K. J., Kim, S., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-151894/v1
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Wang, S.-C., Chien, W., Chung, C., Tzeng, N., & Liu, Y. (2021) · Research Square · doi:10.21203/rs.3.rs-370664/v1
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Wieck, M. R. (2021) · IRL - University of Missouri, St. Louis (University of Missouri–St. Louis)
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Menéndez-González, L. (2021) · doi:10.6035/14103.2021.473005
O4‐08‐04: A COMPREHENSIVE MODEL OF FACTORS ASSOCIATED WITH SUBJECTIVE PERCEPTIONS OF LIVING WELL WITH DEMENTIA: FINDINGS FROM THE IDEAL STUDY
Clare, L., Wu, Y.-T., Jones, I. R., Victor, C. R., Nelis, S. M., Martyr, A., Quinn, C., Litherland, R., Pickett, J., Hindle, J. V., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.06.2954
Relación entre traqueostomización y supervivencia en pacientes sometidos a ventilación mecánica con sintomatología respiratoria sugestiva de COVID-19 en Cartagena, Colombia
Gómez-Cardona, E. A., Díaz-Hernández, D., Borré-Naranjo, D., Castell, C. R. D., Lozada-Martínez, I. D., Picón‐Jaimes, Y. A., & Muñoz-Murillo, K. L. (2022) · Medunab · doi:10.29375/01237047.4227
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Gutowski, C. J., & Amin, S. J. (2021) · Progress in Orthopedic Science · doi:10.47363/pos/2021(7)150
Coaching older adults discharged home from the emergency department: The role of competence and emotion in following up with outpatient clinicians
Mi, R. Z., Jacobsohn, G. C., Wu, J., Shah, M. N., Jones, C. M. C., Caprio, T. V., Cushman, J. T., Lohmeier, M., Kind, A., & Shah, D. V. (2022) · Patient Education and Counseling · doi:10.1016/j.pec.2022.08.013
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Osakwe, Z. T., Obioha, C. U., Muller, K., & Calixte, R. (2022) · Journal of Hospice and Palliative Nursing · doi:10.1097/njh.0000000000000904
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Ramos, D. G., Montenegro, J. D. Z., Restrepo, D., Vergara, J. C., & León-Giraldo, H. (2022) · Revista Colombiana de Medicina Física y Rehabilitación · doi:10.28957/rcmfr.344
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Zimbro, K. S., Maduro, R. S., Schneider, P. V., Hahn, D. S., Paulson, J., & Morgan, M. K. (2023) · Journal for Healthcare Quality · doi:10.1097/jhq.0000000000000349
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Fung, K. W., Baye, F. M., Baik, S. H., Zheng, Z., & McDonald, C. J. (2023) · medRxiv · doi:10.1101/2023.02.09.23285742

Authors: Charlson, M. E., Charlson, R. E., Peterson, J. C., Marinopoulos, S. S., Briggs, W. M., & Hollenberg, J. P.
Affiliations: Weill Cornell Medicine (US)
Yale New Haven Hospital (US)
Johns Hopkins University (US)
Central Michigan University (US)
Corresponding author: Charlson, Mary E.
ORCID: Charlson, Mary E.
Marinopoulos, Spyridon S.
Briggs, William M.
Venue: Journal of Clinical Epidemiology
Publisher: Elsevier BV
Published: 2008-12
Volume: 61
Issue: 12
Pages: 1234-1240
ISSN: 0895-4356 (ISSN-L)
DOI: 10.1016/j.jclinepi.2008.01.006
OpenAlex: W2110548428
Cited by: 894
References: 38
Citations by year: 2026: 35 · 2025: 52 · 2024: 79 · 2023: 74 · 2022: 80 · 2021: 77 · 2020: 81 · 2019: 66 · 2018: 83 · 2017: 56 · 2016: 42 · 2015: 51 · 2014: 37 · 2013: 21 · 2012: 22
FWCI: 9.15
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Journal of Clinical Epidemiology (publishedVersion)
PubMed (publishedVersion)
Topics: Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
Keywords: Charlson Comorbidity Index, chronic disease costs, health care costs, primary care patients, cost prediction model, hospital costs, resource utilization (health care), hypertension, depression, warfarin, skin ulcers, cellulitis, Medicare and Medicaid, elderly patients
MeSH terms: Adolescent, Adult, Aged, Aged, 80 and over, Chronic Disease, Epidemiologic Methods, Female, Health Resources, Health Services Research, Hospitalization, Humans, Male, Middle Aged, New York City, Primary Health Care, Prognosis, Drug Costs, Health Care Costs, Hospital Costs, Young Adult

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The Charlson comorbidity index is adapted to predict costs of chronic disease in primary care patients

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