Geriatric Index of Comorbidity: validation and comparison with other measures of comorbidity

Rozzini, Renzo

doi:10.1093/ageing/31.4.277

Cited by 189 publications

(117 citation statements)

References 34 publications

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“…Adjusted Clinical Groups (ACG) System version 25 Charlson index 18 Cumulative Index Illness Rating Scale (CIRS) 26,27 Disease count Duke Severity of Illness Checklist (DUSOI ) 28 Elixhauser index 31 Functional Comorbidity Index (FCI) [32][33][34] Geriatric Index of Comorbidity (GIC) 35 Hierarchical Coexisting Conditions (HCCs) 36 Index of Co-Existent Disease (ICED) 37 Seattle Index of Comorbidity (SIC) 38,39 Self-Administered Comorbidity Questionnaire (SCQ) 40 Disease Burden (Bayliss) 41,42 Chronic Disease Score (CDS) / Rx-Risk [15][16][17] Simple count of drug types prescribed 43 Morbidity Drug Burden Index (MDBI) 44,45 Nursing home multimorbidity matrix 46 Note: Only key references given in this table.…”

Section: Appendix Measures Of Multimorbidity Identifi Ed Diagnosis Bmentioning

confidence: 99%

Measures of Multimorbidity and Morbidity Burden for Use in Primary Care and Community Settings: A Systematic Review and Guide

Huntley¹,

Johnson²,

Purdy³

et al. 2012

The Annals of Family Medicine

500

469

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PURPOSE Many patients consulting in primary care have multiple conditions (multimorbidity). Aims of this review were to identify measures of multimorbidity and morbidity burden suitable for use in research in primary care and community populations, and to investigate their validity in relation to anticipated associations with patient characteristics, process measures, and health outcomes.METHODS Studies were identifi ed using searches in MEDLINE and EMBASE from inception to December 2009 and bibliographies.RESULTS Included were 194 articles describing 17 different measures. Commonly used measures included disease counts (n = 98), Chronic Disease Score (CDS) / RxRisk (n = 17), Adjusted Clinical Groups (ACG) System (n = 25), the Charlson index (n = 38), the Cumulative Index Illness Rating Scale (CIRS; n = 10) and the Duke Severity of Illness Checklist (DUSOI; n = 6). Studies that compared measures suggest their predictive validity for the same outcome differs only slightly. Evidence is strongest for the ACG System, Charlson index, or disease counts in relation to care utilization; for the ACG System in relation to costs; for Charlson index in relation to mortality; and for disease counts or Charlson index in relation to quality of life. Simple counts of diseases or medications perform almost as well as complex measures in predicting most outcomes. Combining measures can improve validity. CONCLUSIONSThe measures most commonly used in primary care and community settings are disease counts, Charlson index, ACG System, CIRS, CDS, and DUSOI. Different measures are most appropriate according to the outcome of interest. Choice of measure will also depend on the type of data available. More research is needed to directly compare performance of different measures.

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Section: Appendix Measures Of Multimorbidity Identifi Ed Diagnosis Bmentioning

confidence: 99%

Measures of Multimorbidity and Morbidity Burden for Use in Primary Care and Community Settings: A Systematic Review and Guide

Huntley¹,

Johnson²,

Purdy³

et al. 2012

The Annals of Family Medicine

500

469

View full text Add to dashboard Cite

show abstract

“…From our previous work on this cohort (18), the best prognostic predictor of 5-year mortality was the Geriatric Index of Comorbidity (GIC) (19), class 4 multiplying the risk of death by 4, so we used this comorbidity score in this study. The same geriatrician calculated the score for each patient, via an extensive review of the patient's medical records and administrative data for diagnoses, established at or before enrolment in this study and by standardized interviews with patients and/or surrogates.…”

Section: Comorbiditymentioning

confidence: 99%

Mild cognitive impairment, degenerative and vascular dementia as predictors of intra-hospital, short- and long-term mortality in the oldest old

Zekry

Herrmann

et al. 2011

Aging Clin Exp Res

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ABSTRACT. Background and aims: The relative weight of various etiologies of dementia and mild cognitive impairment (MCI) as predictors of intra-hospital, short-and long-term mortality in very old INTRODUCTIONDementia is a serious health problem with a significant economic impact. Previous studies of populationbased cohort type have evaluated survival in relation to dementia, most reporting that the risk of death is higher in the presence of dementia than in its absence (1-6). A recent Danish population-based cohort study (14 years of follow-up) involving 3065 non-demented (73.7±6.8 years) and 234 demented (83.3±7.0 years) subjects at baseline, showed that the hazard ratio (HR) of death increased from 1.82 for very mildly demented to 9.52 for severely demented subjects (7). However, most studies have analyzed mortality in patients with cognitive impairment as a global diagnosis (7) or only in patients with Alzheimer's disease (AD) (3,5). Only a few rare studies have considered mortality in other types of dementia, such as mixed dementia (AD plus vascular), which is very frequent in the very old, or in mild cognitive impairment (MCI) (8, 9). In addition, the non-demented subjects in these studies are often significantly younger (2, 3) and have significantly fewer comorbid conditions than the group of demented patients. Also, there are only a few studies examining short-term (1-year) mortality and rare ones examining long-term (5-year) mortality in acutely ill very old patients after discharge from hospital, and information on the same population remains scarce.

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“…the Charlson Comorbidity Index [10] and Cumulative Illness Rating Scale-CIRS [11] -or of their interactive effect -e.g. the Geriatric Index of Comorbidity [12]. The definition of multimorbidity-comorbidity represents an advance in the understanding of the somatic health of the patient: when placed in relation with the eventual co-existence of other diseases and their burden of disease, it enables to define with more accuracy the therapeutic spaces, the impact on disability, and the patient's prognosis.…”

Section: Evaluation Of Somatic Disordersmentioning

confidence: 99%

Goals of surgery and assessment tools for elderly patients referred for cardiac and noncardiac surgery

Coccia

Rozzini

2017

Monaldi Arch Chest Dis

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Geriatric Index of Comorbidity: validation and comparison with other measures of comorbidity

Abstract: the Geriatric Index of Comorbidity, a measure of comorbidity assuming that both number of diseases and occurrence of very severe diseases are determinants of health, has the greatest concurrent validity with disability and is the best predictor of mortality.

Cited by 189 publications

References 34 publications

Measures of Multimorbidity and Morbidity Burden for Use in Primary Care and Community Settings: A Systematic Review and Guide

Measures of Multimorbidity and Morbidity Burden for Use in Primary Care and Community Settings: A Systematic Review and Guide

Mild cognitive impairment, degenerative and vascular dementia as predictors of intra-hospital, short- and long-term mortality in the oldest old

Goals of surgery and assessment tools for elderly patients referred for cardiac and noncardiac surgery

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