File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Unveiling unique clinical phenotypes of hip fracture patients and the temporal association with cardiovascular events

TitleUnveiling unique clinical phenotypes of hip fracture patients and the temporal association with cardiovascular events
Authors
Issue Date22-May-2024
PublisherNature Research
Citation
Nature Communications, 2024, v. 15, n. 1 How to Cite?
Abstract

Cardiovascular events are the leading cause of death among hip fracture patients. This study aims to identify subphenotypes of hip fracture patients and investigate their association with incident cardiovascular events, all-cause mortality, and health service utilisation in Hong Kong and the United Kingdom populations. By the latent class analysis, we show three distinct clusters in the Hong Kong cohort (n = 78,417): Cluster 1 has cerebrovascular and hypertensive diseases, hyperlipidemia, and diabetes; Cluster 2 has congestive heart failure; Cluster 3 consists of relatively healthy patients. Compared to Cluster 3, higher risks of major adverse cardiovascular events are observed in Cluster 1 (hazard ratio 1.97, 95% CI 1.83 to 2.12) and Cluster 2 (hazard ratio 4.06, 95% CI 3.78 to 4.35). Clusters 1 and 2 are also associated with a higher risk of mortality, more unplanned accident and emergency visits and longer hospital stays. Self-controlled case series analysis shows a significantly elevated risk of major adverse cardiovascular events within 60 days post-hip fracture. Similar associations are observed in the United Kingdom cohort (n = 27,948). Pre-existing heart failure is identified as a unique subphenotype associated with poor prognosis after hip fractures.


Persistent Identifierhttp://hdl.handle.net/10722/345768

 

DC FieldValueLanguage
dc.contributor.authorHsu, Warrington WQ-
dc.contributor.authorZhang, Xiaowen-
dc.contributor.authorSing, Chor Wing-
dc.contributor.authorTan, Kathryn CB-
dc.contributor.authorWong, Ian Chi Kei-
dc.contributor.authorLau, Wallis CY-
dc.contributor.authorCheung, Ching Lung-
dc.date.accessioned2024-08-28T07:40:35Z-
dc.date.available2024-08-28T07:40:35Z-
dc.date.issued2024-05-22-
dc.identifier.citationNature Communications, 2024, v. 15, n. 1-
dc.identifier.urihttp://hdl.handle.net/10722/345768-
dc.description.abstract<p>Cardiovascular events are the leading cause of death among hip fracture patients. This study aims to identify subphenotypes of hip fracture patients and investigate their association with incident cardiovascular events, all-cause mortality, and health service utilisation in Hong Kong and the United Kingdom populations. By the latent class analysis, we show three distinct clusters in the Hong Kong cohort (n = 78,417): Cluster 1 has cerebrovascular and hypertensive diseases, hyperlipidemia, and diabetes; Cluster 2 has congestive heart failure; Cluster 3 consists of relatively healthy patients. Compared to Cluster 3, higher risks of major adverse cardiovascular events are observed in Cluster 1 (hazard ratio 1.97, 95% CI 1.83 to 2.12) and Cluster 2 (hazard ratio 4.06, 95% CI 3.78 to 4.35). Clusters 1 and 2 are also associated with a higher risk of mortality, more unplanned accident and emergency visits and longer hospital stays. Self-controlled case series analysis shows a significantly elevated risk of major adverse cardiovascular events within 60 days post-hip fracture. Similar associations are observed in the United Kingdom cohort (n = 27,948). Pre-existing heart failure is identified as a unique subphenotype associated with poor prognosis after hip fractures.</p>-
dc.languageeng-
dc.publisherNature Research-
dc.relation.ispartofNature Communications-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleUnveiling unique clinical phenotypes of hip fracture patients and the temporal association with cardiovascular events-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1038/s41467-024-48713-3-
dc.identifier.pmid38777819-
dc.identifier.scopuseid_2-s2.0-85194023596-
dc.identifier.volume15-
dc.identifier.issue1-
dc.identifier.eissn2041-1723-
dc.identifier.issnl2041-1723-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats