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Predictivity of the comorbidity indices for geriatric syndromes
BACKGROUND: The aging population and increasing chronic diseases make a tremendous burden on the health care system. The study evaluated the relationship between comorbidity indices and common geriatric syndromes. METHODS: A total of 366 patients who were hospitalized in a university geriatric inpat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118684/ https://www.ncbi.nlm.nih.gov/pubmed/35590276 http://dx.doi.org/10.1186/s12877-022-03066-8 |
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author | Canaslan, Kubra Ates Bulut, Esra Kocyigit, Suleyman Emre Aydin, Ali Ekrem Isik, Ahmet Turan |
author_facet | Canaslan, Kubra Ates Bulut, Esra Kocyigit, Suleyman Emre Aydin, Ali Ekrem Isik, Ahmet Turan |
author_sort | Canaslan, Kubra |
collection | PubMed |
description | BACKGROUND: The aging population and increasing chronic diseases make a tremendous burden on the health care system. The study evaluated the relationship between comorbidity indices and common geriatric syndromes. METHODS: A total of 366 patients who were hospitalized in a university geriatric inpatient service were included in the study. Sociodemographic characteristics, laboratory findings, and comprehensive geriatric assessment(CGA) parameters were recorded. Malnutrition, urinary incontinence, frailty, polypharmacy, falls, orthostatic hypotension, depression, and cognitive performance were evaluated. Comorbidities were ranked using the Charlson Comorbidity Index(CCI), Elixhauser Comorbidity Index(ECM), Geriatric Index of Comorbidity(GIC), and Medicine Comorbidity Index(MCI). Because, the CCI is a valid and reliable tool used in different clinical settings and diseases, patients with CCI score higher than four was accepted as multimorbid. Additionally, the relationship between geriatric syndromes and comorbidity indices was assessed with regression analysis. RESULTS: Patients’ mean age was 76.2 ± 7.25 years(67.8% female). The age and sex of multimorbid patients according to the CCI were not different compared to others. The multimorbid group had a higher rate of dementia and polypharmacy among geriatric syndromes. All four indices were associated with frailty and polypharmacy(p < 0.05). CCI and ECM scores were related to dementia, polypharmacy, and frailty. Moreover, CCI was also associated with separately slow walking speed and low muscle strength. On the other hand, unlike CCI, ECM was associated with malnutrition. CONCLUSIONS: In the study comparing the four comorbidity indices, it is revealed that none of the indices is sufficient to use alone in geriatric practice. New indices should be developed considering the complexity of the geriatric cases and the limitations of the existing indices. |
format | Online Article Text |
id | pubmed-9118684 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-91186842022-05-20 Predictivity of the comorbidity indices for geriatric syndromes Canaslan, Kubra Ates Bulut, Esra Kocyigit, Suleyman Emre Aydin, Ali Ekrem Isik, Ahmet Turan BMC Geriatr Research BACKGROUND: The aging population and increasing chronic diseases make a tremendous burden on the health care system. The study evaluated the relationship between comorbidity indices and common geriatric syndromes. METHODS: A total of 366 patients who were hospitalized in a university geriatric inpatient service were included in the study. Sociodemographic characteristics, laboratory findings, and comprehensive geriatric assessment(CGA) parameters were recorded. Malnutrition, urinary incontinence, frailty, polypharmacy, falls, orthostatic hypotension, depression, and cognitive performance were evaluated. Comorbidities were ranked using the Charlson Comorbidity Index(CCI), Elixhauser Comorbidity Index(ECM), Geriatric Index of Comorbidity(GIC), and Medicine Comorbidity Index(MCI). Because, the CCI is a valid and reliable tool used in different clinical settings and diseases, patients with CCI score higher than four was accepted as multimorbid. Additionally, the relationship between geriatric syndromes and comorbidity indices was assessed with regression analysis. RESULTS: Patients’ mean age was 76.2 ± 7.25 years(67.8% female). The age and sex of multimorbid patients according to the CCI were not different compared to others. The multimorbid group had a higher rate of dementia and polypharmacy among geriatric syndromes. All four indices were associated with frailty and polypharmacy(p < 0.05). CCI and ECM scores were related to dementia, polypharmacy, and frailty. Moreover, CCI was also associated with separately slow walking speed and low muscle strength. On the other hand, unlike CCI, ECM was associated with malnutrition. CONCLUSIONS: In the study comparing the four comorbidity indices, it is revealed that none of the indices is sufficient to use alone in geriatric practice. New indices should be developed considering the complexity of the geriatric cases and the limitations of the existing indices. BioMed Central 2022-05-19 /pmc/articles/PMC9118684/ /pubmed/35590276 http://dx.doi.org/10.1186/s12877-022-03066-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Canaslan, Kubra Ates Bulut, Esra Kocyigit, Suleyman Emre Aydin, Ali Ekrem Isik, Ahmet Turan Predictivity of the comorbidity indices for geriatric syndromes |
title | Predictivity of the comorbidity indices for geriatric syndromes |
title_full | Predictivity of the comorbidity indices for geriatric syndromes |
title_fullStr | Predictivity of the comorbidity indices for geriatric syndromes |
title_full_unstemmed | Predictivity of the comorbidity indices for geriatric syndromes |
title_short | Predictivity of the comorbidity indices for geriatric syndromes |
title_sort | predictivity of the comorbidity indices for geriatric syndromes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9118684/ https://www.ncbi.nlm.nih.gov/pubmed/35590276 http://dx.doi.org/10.1186/s12877-022-03066-8 |
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