ArticleJournal of medical Internet research2022
Age- and Sex-Specific Differences in Multimorbidity Patterns and Temporal Trends on Assessing Hospital Discharge Records in Southwest China: Network-Based Study.
Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- A systematic review and meta-analysis of disease clusters in multimorbidity.Nature communications · 2025Pooled it
- A digital marker for stratifying cardiovascular metabolic comorbidities among the middle-aged and elderly adults.PLOS digital health · 2026Article
- Observational
- Disease spectrum and comorbidity patterns of malignant neoplasms: a multi-center hospital-based retrospective analysis of inpatient insurance claims data.Frontiers in oncology · 2026Article
- The impact of digital literacy on health behaviors among middle-aged and older adults: the mediating roles of proactive health awareness and social capital.Frontiers in public health · 2026Article
- Sex and age-specific multimorbidity profiles among working-age inpatients in China: a comparative network analysis.BMC public health · 2025Article
- Network-based machine learning reveals cardiometabolic multimorbidity patterns and modifiable lifestyle factors: a community-focused analysis of NHANES 2015-2018.BMC public health · 2025Article
- Network Analyses to Explore Comorbidities Among Older Adults Living With Dementia.Journal of the American Geriatrics Society · 2025Article
- Global, regional, and national epidemiology of congenital heart disease in children from 1990 to 2021.Frontiers in cardiovascular medicine · 2025Article
- Sex- and age-specific multimorbidity networks in middle-aged inpatients: a network-based comparative study between China and the United Kingdom.Innovation in aging · 2025Article
- Article
- Population and Co-Occurrence Characteristics of Diagnoses and Comorbidities in Coronary Artery Disease Patients: A Case Study from a Hospital in Guangxi, China.Bioengineering (Basel, Switzerland) · 2024Article
- Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network.Health information science and systems · 2024Article
- Population-Based Trends in Complexity of Hospital Inpatients.JAMA internal medicine · 2024Article
- Knowledge level and health information-seeking behavior of people with diabetes in rural areas: a multicenter cross-sectional study.Frontiers in public health · 2024Article
- Exploring multimorbidity profiles in middle-aged inpatients: a network-based comparative study of China and the United Kingdom.BMC medicine · 2023Article
- A network-based study reveals multimorbidity patterns in people with type 2 diabetes.iScience · 2023Article
- Comorbidity Patterns in Patients Newly Diagnosed With Colorectal Cancer: Network-Based Study.JMIR public health and surveillance · 2023Observational
- Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning.BMC medical informatics and decision making · 2023Article
- Disease Burden and the Accumulation of Multimorbidity of Noncommunicable Diseases in a Rural Population in Henan, China: Cross-sectional Study.JMIR public health and surveillance · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultimorbidity represents a global health challenge, which requires a more global understanding of multimorbidity patterns and trends. However, the majority of studies completed to date have often relied on self-reported conditions, and a simultaneous assessment of the entire spectrum of chronic disease co-occurrence, especially in developing regions, has not yet been performed.
objectiveWe attempted to provide a multidimensional approach to understand the full spectrum of chronic disease co-occurrence among general inpatients in southwest China, in order to investigate multimorbidity patterns and temporal trends, and assess their age and sex differences.
methodsWe conducted a retrospective cohort analysis based on 8.8 million hospital discharge records of about 5.0 million individuals of all ages from 2015 to 2019 in a megacity in southwest China. We examined all chronic diagnoses using the ICD-10 (International Classification of Diseases, 10th revision) codes at 3 digits and focused on chronic diseases with ≥1% prevalence for each of the age and sex strata, which resulted in a total of 149 and 145 chronic diseases in males and females, respectively. We constructed multimorbidity networks in the general population based on sex and age, and used the cosine index to measure the co-occurrence of chronic diseases. Then, we divided the networks into communities and assessed their temporal trends.
resultsThe results showed complex interactions among chronic diseases, with more intensive connections among males and inpatients ≥40 years old. A total of 9 chronic diseases were simultaneously classified as central diseases, hubs, and bursts in the multimorbidity networks. Among them, 5 diseases were common to both males and females, including hypertension, chronic ischemic heart disease, cerebral infarction, other cerebrovascular diseases, and atherosclerosis. The earliest leaps (degree leaps ≥6) appeared at a disorder of glycoprotein metabolism that happened at 25-29 years in males, about 15 years earlier than in females. The number of chronic diseases in the community increased over time, but the new entrants did not replace the root of the community.
conclusionsOur multimorbidity network analysis identified specific differences in the co-occurrence of chronic diagnoses by sex and age, which could help in the design of clinical interventions for inpatient multimorbidity.
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