Hongjiang Wu , Haobin Zhou , Chuiguo Huang , Aimin Yang , Eric S.H. Lau , Xinge Zhang , Juliana N.M. Lui , Baoqi Fan , Mai Shi , Ronald C.W. Ma , Alice P.S. Kong , Elaine Chow , Wing-Yee So , Juliana C.N. Chan , Andrea O.Y. Luk
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We derived the temporal trajectories of hospitalisations based on pairs of disease associations and identified trajectory clusters using Markov Cluster Algorithm.</div></div><div><h3>Findings</h3><div>During a median follow-up of 7.8 (IQR: 4–12) years, 57.6% of people experienced a hospitalisation for any of the 72 selected diseases and 22.6% of people died. Among the 5184 directional disease pairs, 95 were identified as having a significant and directional association. The three most common disease pairs were hospitalisations for urinary tract infection followed by pneumonia, ischemic heart disease followed by heart failure, and ischemic stroke followed by pneumonia. Cardiovascular and kidney diseases were predominant in the hospitalisation trajectories. However, these traditional complications had complex associations both among themselves and with various non-traditional complications across multiple systems. Three distinct trajectory clusters were identified, with heart failure/chronic kidney disease, pneumonia, and urinary tract infection as central diseases.</div></div><div><h3>Interpretation</h3><div>Cardiovascular and kidney diseases interacted with a broad set of non-traditional complications to influence the overall patterns of hospitalisation progression in people with diabetes, highlighting the need to broaden diabetes care to consider complications beyond the traditional focus.</div></div><div><h3>Funding</h3><div>Direct Grant for Research from <span>The Chinese University of Hong Kong</span>.</div></div>","PeriodicalId":22792,"journal":{"name":"The Lancet Regional Health: Western Pacific","volume":"57 ","pages":"Article 101532"},"PeriodicalIF":7.6000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identifying and visualising temporal trajectories of hospitalisations for traditional and non-traditional complications in people with type 2 diabetes: a population-based study\",\"authors\":\"Hongjiang Wu , Haobin Zhou , Chuiguo Huang , Aimin Yang , Eric S.H. 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We derived the temporal trajectories of hospitalisations based on pairs of disease associations and identified trajectory clusters using Markov Cluster Algorithm.</div></div><div><h3>Findings</h3><div>During a median follow-up of 7.8 (IQR: 4–12) years, 57.6% of people experienced a hospitalisation for any of the 72 selected diseases and 22.6% of people died. Among the 5184 directional disease pairs, 95 were identified as having a significant and directional association. The three most common disease pairs were hospitalisations for urinary tract infection followed by pneumonia, ischemic heart disease followed by heart failure, and ischemic stroke followed by pneumonia. Cardiovascular and kidney diseases were predominant in the hospitalisation trajectories. However, these traditional complications had complex associations both among themselves and with various non-traditional complications across multiple systems. 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Identifying and visualising temporal trajectories of hospitalisations for traditional and non-traditional complications in people with type 2 diabetes: a population-based study
Background
People with type 2 diabetes are increasingly susceptible to complications that are not specific to diabetes. We aimed to examine the temporal trajectories of hospitalisations for traditional and non-traditional complications in people with type 2 diabetes.
Methods
We included 758,254 people with incident type 2 diabetes between 2002 and 2018 in Hong Kong, followed up until 2019. We included hospitalisations for 72 selected diseases and all-cause deaths. We derived the temporal trajectories of hospitalisations based on pairs of disease associations and identified trajectory clusters using Markov Cluster Algorithm.
Findings
During a median follow-up of 7.8 (IQR: 4–12) years, 57.6% of people experienced a hospitalisation for any of the 72 selected diseases and 22.6% of people died. Among the 5184 directional disease pairs, 95 were identified as having a significant and directional association. The three most common disease pairs were hospitalisations for urinary tract infection followed by pneumonia, ischemic heart disease followed by heart failure, and ischemic stroke followed by pneumonia. Cardiovascular and kidney diseases were predominant in the hospitalisation trajectories. However, these traditional complications had complex associations both among themselves and with various non-traditional complications across multiple systems. Three distinct trajectory clusters were identified, with heart failure/chronic kidney disease, pneumonia, and urinary tract infection as central diseases.
Interpretation
Cardiovascular and kidney diseases interacted with a broad set of non-traditional complications to influence the overall patterns of hospitalisation progression in people with diabetes, highlighting the need to broaden diabetes care to consider complications beyond the traditional focus.
Funding
Direct Grant for Research from The Chinese University of Hong Kong.
期刊介绍:
The Lancet Regional Health – Western Pacific, a gold open access journal, is an integral part of The Lancet's global initiative advocating for healthcare quality and access worldwide. It aims to advance clinical practice and health policy in the Western Pacific region, contributing to enhanced health outcomes. The journal publishes high-quality original research shedding light on clinical practice and health policy in the region. It also includes reviews, commentaries, and opinion pieces covering diverse regional health topics, such as infectious diseases, non-communicable diseases, child and adolescent health, maternal and reproductive health, aging health, mental health, the health workforce and systems, and health policy.