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Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records

BACKGROUND: Multimorbidity has become a new challenge for medical systems and public health policy. Understanding the patterns of and associations among multimorbid conditions should be given priority. It may assist with the early detection of multimorbidity and thus improve quality of life in older...

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Autores principales: Zhang, Yan, Chen, Chao, Huang, Lingfeng, Liu, Gang, Lian, Tingyu, Yin, Mingjuan, Zhao, Zhiguang, Xu, Jian, Chen, Ruoling, Fu, Yingbin, Liang, Dongmei, Zeng, Jinmei, Ni, Jindong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732753/
https://www.ncbi.nlm.nih.gov/pubmed/36422885
http://dx.doi.org/10.2196/38182
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author Zhang, Yan
Chen, Chao
Huang, Lingfeng
Liu, Gang
Lian, Tingyu
Yin, Mingjuan
Zhao, Zhiguang
Xu, Jian
Chen, Ruoling
Fu, Yingbin
Liang, Dongmei
Zeng, Jinmei
Ni, Jindong
author_facet Zhang, Yan
Chen, Chao
Huang, Lingfeng
Liu, Gang
Lian, Tingyu
Yin, Mingjuan
Zhao, Zhiguang
Xu, Jian
Chen, Ruoling
Fu, Yingbin
Liang, Dongmei
Zeng, Jinmei
Ni, Jindong
author_sort Zhang, Yan
collection PubMed
description BACKGROUND: Multimorbidity has become a new challenge for medical systems and public health policy. Understanding the patterns of and associations among multimorbid conditions should be given priority. It may assist with the early detection of multimorbidity and thus improve quality of life in older adults. OBJECTIVE: This study aims to comprehensively analyze and compare associations among multimorbid conditions by age and sex in a large number of middle-aged and older Chinese adults. METHODS: Data from the home pages of inpatient medical records in the Shenzhen National Health Information Platform were evaluated. From January 1, 2017, to December 31, 2018, inpatients aged 50 years and older who had been diagnosed with at least one of 40 conditions were included in this study. Their demographic characteristics (age and sex) and inpatient diagnoses were extracted. Association rule mining, Chi-square tests, and decision tree analyses were combined to identify associations between multiple chronic conditions. RESULTS: In total, 306,264 hospitalized cases with available information on related chronic conditions were included in this study. The prevalence of multimorbidity in the overall population was 76.46%. The combined results of the 3 analyses showed that, in patients aged 50 years to 64 years, lipoprotein metabolism disorder tended to be comorbid with multiple chronic conditions. Gout and lipoprotein metabolism disorder had the strongest association. Among patients aged 65 years or older, there were strong associations between cerebrovascular disease, heart disease, lipoprotein metabolism disorder, and peripheral vascular disease. The strongest associations were observed between senile cataract and glaucoma in men and women. In particular, the association between osteoporosis and malignant tumor was only observed in middle-aged and older men, while the association between anemia and chronic kidney disease was only observed in older women. CONCLUSIONS: Multimorbidity was prevalent among middle-aged and older Chinese individuals. The results of this comprehensive analysis of 4 age-sex subgroups suggested that associations between particular conditions within the sex and age groups occurred more frequently than expected by random chance. This provides evidence for further research on disease clusters and for health care providers to develop different strategies based on age and sex to improve the early identification and treatment of multimorbidity.
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spelling pubmed-97327532022-12-10 Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records Zhang, Yan Chen, Chao Huang, Lingfeng Liu, Gang Lian, Tingyu Yin, Mingjuan Zhao, Zhiguang Xu, Jian Chen, Ruoling Fu, Yingbin Liang, Dongmei Zeng, Jinmei Ni, Jindong JMIR Public Health Surveill Original Paper BACKGROUND: Multimorbidity has become a new challenge for medical systems and public health policy. Understanding the patterns of and associations among multimorbid conditions should be given priority. It may assist with the early detection of multimorbidity and thus improve quality of life in older adults. OBJECTIVE: This study aims to comprehensively analyze and compare associations among multimorbid conditions by age and sex in a large number of middle-aged and older Chinese adults. METHODS: Data from the home pages of inpatient medical records in the Shenzhen National Health Information Platform were evaluated. From January 1, 2017, to December 31, 2018, inpatients aged 50 years and older who had been diagnosed with at least one of 40 conditions were included in this study. Their demographic characteristics (age and sex) and inpatient diagnoses were extracted. Association rule mining, Chi-square tests, and decision tree analyses were combined to identify associations between multiple chronic conditions. RESULTS: In total, 306,264 hospitalized cases with available information on related chronic conditions were included in this study. The prevalence of multimorbidity in the overall population was 76.46%. The combined results of the 3 analyses showed that, in patients aged 50 years to 64 years, lipoprotein metabolism disorder tended to be comorbid with multiple chronic conditions. Gout and lipoprotein metabolism disorder had the strongest association. Among patients aged 65 years or older, there were strong associations between cerebrovascular disease, heart disease, lipoprotein metabolism disorder, and peripheral vascular disease. The strongest associations were observed between senile cataract and glaucoma in men and women. In particular, the association between osteoporosis and malignant tumor was only observed in middle-aged and older men, while the association between anemia and chronic kidney disease was only observed in older women. CONCLUSIONS: Multimorbidity was prevalent among middle-aged and older Chinese individuals. The results of this comprehensive analysis of 4 age-sex subgroups suggested that associations between particular conditions within the sex and age groups occurred more frequently than expected by random chance. This provides evidence for further research on disease clusters and for health care providers to develop different strategies based on age and sex to improve the early identification and treatment of multimorbidity. JMIR Publications 2022-11-24 /pmc/articles/PMC9732753/ /pubmed/36422885 http://dx.doi.org/10.2196/38182 Text en ©Yan Zhang, Chao Chen, Lingfeng Huang, Gang Liu, Tingyu Lian, Mingjuan Yin, Zhiguang Zhao, Jian Xu, Ruoling Chen, Yingbin Fu, Dongmei Liang, Jinmei Zeng, Jindong Ni. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 24.11.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Zhang, Yan
Chen, Chao
Huang, Lingfeng
Liu, Gang
Lian, Tingyu
Yin, Mingjuan
Zhao, Zhiguang
Xu, Jian
Chen, Ruoling
Fu, Yingbin
Liang, Dongmei
Zeng, Jinmei
Ni, Jindong
Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records
title Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records
title_full Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records
title_fullStr Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records
title_full_unstemmed Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records
title_short Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records
title_sort associations among multimorbid conditions in hospitalized middle-aged and older adults in china: statistical analysis of medical records
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9732753/
https://www.ncbi.nlm.nih.gov/pubmed/36422885
http://dx.doi.org/10.2196/38182
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