Bidirectional association between serum carcinoembryonic antigen and metabolic syndrome among the Chinese male population: two cohort studies.

Bidirectional association Carcinoembryonic antigen Cohort study Cox proportional hazards model Hazard ratio Metabolic syndrome Smoking

Journal

Lipids in health and disease
ISSN: 1476-511X
Titre abrégé: Lipids Health Dis
Pays: England
ID NLM: 101147696

Informations de publication

Date de publication:
04 Nov 2020
Historique:
received: 03 08 2020
accepted: 20 10 2020
entrez: 5 11 2020
pubmed: 6 11 2020
medline: 13 8 2021
Statut: epublish

Résumé

Previous studies have shown that serum carcinoembryonic antigen (CEA) is independently associated with metabolic syndrome (MetS). However, these studies were mainly cross-sectional analyses, and cause was not clarified. In the present study, two bidirectional cohort studies were conducted to investigate the bidirectional associations between CEA and MetS using a Chinese male sample cohort. The initial longitudinal cohort included 9629 Chinese males enrolled from January 2010 to December 2015. Two bidirectional cohorts were conducted in the study: subcohort A (from CEA to MetS, n = 6439) included participants without MetS at baseline to estimate the risk of developing incident MetS; subcohort B (from MetS to CEA, n = 8533) included participants without an elevated CEA level (Hyper-CEA) at baseline to examine the risk of developing incident Hyper-CEA. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models. In subcohort A, the incidence densities of MetS among participants with and without Hyper-CEA were 84.56 and 99.28 per 1000 person-years, respectively. No significant effects of Hyper-CEA on incident MetS were observed in subcohort A (HR, 0.89; 95% CI, 0.71 to 1.12; P = 0.326). In subcohort B, a higher incidence density of Hyper-CEA was found among participants with MetS (33.42 and 29.13 per 1000 person-years for those with and without MetS, respectively). For nonsmoking participants aged > 65 years, MetS increased the risk of incident Hyper-CEA (HR, 1.87; 95% CI, 1.09 to 3.20; P = 0.022). For the direction of CEA on incident MetS, no significant association was observed. For the direction of MetS on incident Hyper-CEA, MetS in nonsmoking elderly men could increase the risk of incident Hyper-CEA, while this association was not found in other stratified participants. The clinical implications of the association between CEA and MetS should be interpreted with caution.

Identifiants

pubmed: 33148263
doi: 10.1186/s12944-020-01411-7
pii: 10.1186/s12944-020-01411-7
pmc: PMC7643476
doi:

Substances chimiques

Carcinoembryonic Antigen 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

233

Subventions

Organisme : National Natural Science Foundation of China
ID : 71804093
Organisme : Shandong Provincial Medical and Health Science and Technology Development Project
ID : 2016WS0478
Organisme : Natural Science Foundation of Shandong Province
ID : ZR2015HL102
Organisme : Key Technology Research and Development Program of Shandong
ID : 2016GSF201075
Organisme : Academic Promotion Programme of Shandong First Medical University
ID : 2019LJ005
Organisme : Academic Promotion Programme of Shandong First Medical University
ID : 2019QL013

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Auteurs

Yafei Liu (Y)

Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.
Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.

Zhaohui Du (Z)

Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.

Jiadong Ji (J)

Department of Data Science, School of Statistics, Shandong University of Finance and Economics, Jinan, China.

Jingru Li (J)

School of Public Health, Weifang Medical University, Weifang, China.

Deming Bi (D)

Department of Surgery, Zhangqiu District Hospital of Traditional Chinese Medicine, Jinan, China. iambdm@126.com.

Fang Tang (F)

Center for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China. tangfangsdu@gmail.com.
Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China. tangfangsdu@gmail.com.

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