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Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records data
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Yanna LI, Fang DU, Liqun WU
Chinese Journal of Public Health | 2025, 41(6) : 711 - 715
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Chinese Journal of Public Health | 2025, 41(6): 711-715
• Special Report – Promoting Older Adult Health Knowledge and Enhancing Health Literacy •
Association analysis of chronic disease comorbidity combinations in elderly inpatients in Shenzhen city from 2017 to 2022: an analysis based on medical records data
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Yanna LI, Fang DU, Liqun WU
Affiliations
  • Shenzhen Health Development Research and Data Management Center, Shenzhen 518028, China
Published: 2025-06-10 doi: 10.11847/zgggws1144537
Outline
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Objective

To 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.

Methods

Data 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.

Results

Among 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.

Conclusions

The 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.

chronic disease comorbidity  /  disease combinations  /  association analysis  /  elderly inpatients  /  Shenzhen city
黎艳娜, 杜芳, 伍丽群. 2017—2022年深圳市老年住院患者慢性病共病疾病组合关联分析. 中国公共卫生, 2025 , 41 (6) : 711 -715 . DOI: 10.11847/zgggws1144537
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[J]. Chinese Journal of Public Health, 2025 , 41 (6) : 711 -715 . DOI: 10.11847/zgggws1144537
Year 2025 volume 41 Issue 6
102
45
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Article Info
doi: 10.11847/zgggws1144537
  • Receive Date:2024-03-25
  • Online Date:2026-10-25
  • Published:2025-06-10
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History
  • Received:2024-03-25
  • Revised:2024-09-03
  • Accepted:2025-01-16
Affiliations
    Shenzhen Health Development Research and Data Management Center, Shenzhen 518028, China

Corresponding:

WU Liqun, E-mail:
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表12种不同金属材料的力学参数
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Family
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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