Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records data
ObjectiveTo investigate the prevalence and common comorbidity patterns of chronic diseases among elderly inpatients in Shenzhen city, Guangdong province, from 2017 to 2022, and to provide scientific evidence for the development of comorbidity management and prevention strategies. MethodsData from th...
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Editorial Office of Chinese Journal of Public Health
2025-06-01
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| Series: | Zhongguo gonggong weisheng |
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| Online Access: | https://www.zgggws.com/article/doi/10.11847/zgggws1144537 |
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| author | Yanna LI Fang DU Liqun WU |
| author_facet | Yanna LI Fang DU Liqun WU |
| author_sort | Yanna LI |
| collection | DOAJ |
| description | ObjectiveTo investigate the prevalence and common comorbidity patterns of chronic diseases among elderly inpatients in Shenzhen city, Guangdong province, from 2017 to 2022, and to provide scientific evidence for the development of comorbidity management and prevention strategies. MethodsData from the discharge summaries of 410 814 inpatients aged 65 years and older from 142 primary and higher-level hospitals in Shenzhen city between January 1, 2017, and December 31, 2022, were collected. Frequency combination analysis was used to identify common chronic disease comorbidity combinations, and association rule analysis was used to identify common non-random disease combinations. ResultsAmong the 410 814 elderly inpatients in Shenzhen city from 2017 to 2022, 387 020 (94.21%) had chronic disease comorbidities. Hypertension was the most prevalent chronic disease (59.14%), accounting for 97.79% of the comorbidity composition. The most common two- and three-disease combinations were “hypertension + stroke” (106 005 cases, 25.80%) and “hypertension + peripheral artery disease + stroke” (55 343 cases, 13.47%), respectively. The top 20 two- and three-disease combinations mainly consisted of hypertension, stroke, ischemic heart disease, heart failure, peripheral artery disease, dyslipidemia, and type 2 diabetes, with cardiovascular diseases predominating, followed by metabolic diseases. Association rule analysis showed that among the top 20 rules, the rule “(refractive errors and accommodation disorders) => (cataract)” had the highest lift value of 6.128. The remaining association rules all involved cardiovascular and cerebrovascular diseases, with the rule “(chronic ischemic heart disease, hypertension, peripheral artery disease) => (heart failure)” having a lift value of 3.082. ConclusionsThe prevalence of chronic disease comorbidities among elderly inpatients in Shenzhen city is high. Cardiovascular diseases dominate the two- and three-disease combinations. Cataracts and cardiovascular and cerebrovascular diseases are the main non-random comorbidity association patterns. |
| format | Article |
| id | doaj-art-56202b1bca4640dd80f55eb5cd1e103d |
| institution | Kabale University |
| issn | 1001-0580 |
| language | zho |
| publishDate | 2025-06-01 |
| publisher | Editorial Office of Chinese Journal of Public Health |
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| series | Zhongguo gonggong weisheng |
| spelling | doaj-art-56202b1bca4640dd80f55eb5cd1e103d2025-08-20T03:30:01ZzhoEditorial Office of Chinese Journal of Public HealthZhongguo gonggong weisheng1001-05802025-06-0141671171510.11847/zgggws11445371144537Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records dataYanna LI0Fang DU1Liqun WU2Shenzhen Health Development Research and Data Management Center, Shenzhen 518028, ChinaShenzhen Health Development Research and Data Management Center, Shenzhen 518028, ChinaShenzhen Health Development Research and Data Management Center, Shenzhen 518028, ChinaObjectiveTo investigate the prevalence and common comorbidity patterns of chronic diseases among elderly inpatients in Shenzhen city, Guangdong province, from 2017 to 2022, and to provide scientific evidence for the development of comorbidity management and prevention strategies. MethodsData from the discharge summaries of 410 814 inpatients aged 65 years and older from 142 primary and higher-level hospitals in Shenzhen city between January 1, 2017, and December 31, 2022, were collected. Frequency combination analysis was used to identify common chronic disease comorbidity combinations, and association rule analysis was used to identify common non-random disease combinations. ResultsAmong the 410 814 elderly inpatients in Shenzhen city from 2017 to 2022, 387 020 (94.21%) had chronic disease comorbidities. Hypertension was the most prevalent chronic disease (59.14%), accounting for 97.79% of the comorbidity composition. The most common two- and three-disease combinations were “hypertension + stroke” (106 005 cases, 25.80%) and “hypertension + peripheral artery disease + stroke” (55 343 cases, 13.47%), respectively. The top 20 two- and three-disease combinations mainly consisted of hypertension, stroke, ischemic heart disease, heart failure, peripheral artery disease, dyslipidemia, and type 2 diabetes, with cardiovascular diseases predominating, followed by metabolic diseases. Association rule analysis showed that among the top 20 rules, the rule “(refractive errors and accommodation disorders) => (cataract)” had the highest lift value of 6.128. The remaining association rules all involved cardiovascular and cerebrovascular diseases, with the rule “(chronic ischemic heart disease, hypertension, peripheral artery disease) => (heart failure)” having a lift value of 3.082. ConclusionsThe prevalence of chronic disease comorbidities among elderly inpatients in Shenzhen city is high. Cardiovascular diseases dominate the two- and three-disease combinations. Cataracts and cardiovascular and cerebrovascular diseases are the main non-random comorbidity association patterns.https://www.zgggws.com/article/doi/10.11847/zgggws1144537chronic disease comorbiditydisease combinationsassociation analysiselderly inpatientsshenzhen city |
| spellingShingle | Yanna LI Fang DU Liqun WU Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records data Zhongguo gonggong weisheng chronic disease comorbidity disease combinations association analysis elderly inpatients shenzhen city |
| title | Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records data |
| title_full | Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records data |
| title_fullStr | Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records data |
| title_full_unstemmed | Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records data |
| title_short | Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records data |
| title_sort | association analysis of chronic disease comorbidity combinations in elderly inpatients in shenzhen city from 2017 to 2022 an analysis based on medical records data |
| topic | chronic disease comorbidity disease combinations association analysis elderly inpatients shenzhen city |
| url | https://www.zgggws.com/article/doi/10.11847/zgggws1144537 |
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