UK Biobank study of the association between circadian syndrome and cardio-kidney events or all-cause mortality
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Le résumé fourni par la source
Circadian syndrome (CircS) has demonstrated a strong association with the occurrence of cardiovascular disease (CVD), as well as chronic kidney disease (CKD). However, the association of CircS with cardiac-kidney events (CKE) or even mortality is unknown. This study was to evaluate whether CircS was related with CKE or all-cause mortality. This prospective study analyzed data from 295,378 participants in the UK Biobank (UKB) cohort. CircS was characterized by the components of metabolic syndrome (MetS), along with short sleep and depression. We applied Cox regression analyses to examine the associations between CircS and composite outcome of CKE or all-cause mortality. Among the 295,378 included participants (median age, 58 years; 55.7% female), we find that 28,027 primary outcome events are recorded during a median follow-up of 13.6 years. Findings reveal that CircS (hazard ratio [HR] 1.379; 95% confidence interval [CI] 1.319–1.441) demonstrates a significant positive association with the primary outcome. With the increase in CircS score, the risk of the primary outcome also increases. Among the seven components, depression (HR 1.518; 95% CI 1.426–1.616) emerges as the strongest contributing factor. Furthermore, we also find that CircS is a significant risk factor for CKE (HR 1.143; 95% CI 1.044–1.251) and has a greater impact on CKE with CVD-first and CKE with renal failure. CircS is strongly linked to increased CKE and all-cause mortality risk, highlighting the need for greater clinical focus on this syndrome. This correlation also provides theoretical support for the cardiovascular-kidney-metabolic syndrome concept. Yang, Shu, Chen et al. explore the association between circadian syndrome and composite outcome of incident cardiac-kidney events and all-cause mortality in the UK Biobank. Circadian syndrome is related to an increased risk of cardiac-kidney events or all-cause mortality. Circadian Syndrome (CircS) is characterised by a person having disruptions to their sleep as well as an increase in the risk factors for cardiovascular disease and diabetes, such as high waist circumference, hypertension, high levels of lipids in the blood and depression. We looked at the relationship between CircS and chronic kidney disease, cardiovascular diseases and death. CircS was most associated with depression and was also a risk factor for kidney and cardiovascular diseases. Our research results suggest that CircS should be further studied as it may impact clinical outcome.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- UK Biobank study of the association between circadian syndrome and cardio-kidney events or all-cause mortality
- Date Crossref
- 24/09/2025
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Soochow University pays non établi dans la noticeUniversité ou école supérieure
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Capital Medical University pays non établi dans la noticeUniversité ou école supérieure
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Beijing Friendship Hospital pays non établi dans la noticeÉtablissement de santé
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Chinese Academy of Medical Sciences & Peking Union Medical College pays non établi dans la noticeUniversité ou école supérieure
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Peking Union Medical College Hospital pays non établi dans la noticeÉtablissement de santé
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Fu Wai Hospital pays non établi dans la noticeÉtablissement de santé
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Fuwai hospital Cardiometabolic center pays non établi dans la noticeÉtablissement de santé
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National Center for Cardiovascular Diseases pays non établi dans la noticeInstitution
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State Key Laboratory of Cardiovascular Diseases pays non établi dans la noticeStructure de recherche
Soochow University, Capital Medical University et Beijing Friendship Hospital, avec 6 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.