Metabolic syndrome including both elevated blood pressure and elevated fasting plasma glucose is associated with higher mortality risk: a prospective study

被引:1
作者
Li, Shu [1 ,2 ,3 ,4 ]
Wen, Chi Pang [5 ]
Tu, Huakang [1 ,2 ]
Wang, Sicong [1 ,2 ]
Li, Xue [1 ,2 ]
Xu, Andi [1 ,2 ]
Li, Wenyuan [1 ,2 ]
Wu, Xifeng [1 ,2 ,5 ,6 ]
机构
[1] Zhejiang Univ, Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Univ, Sch Publ Hlth, Sch Med, Hangzhou, Zhejiang, Peoples R China
[3] Alibaba Zhejiang Univ, Joint Res Ctr Future Digital Healthcare, Hangzhou, Zhejiang, Peoples R China
[4] Zhejiang Key Lab Intelligent Prevent Med, Hangzhou, Zhejiang, Peoples R China
[5] Zhejiang Univ, Natl Inst Data Sci Hlth & Med, Hangzhou, Zhejiang, Peoples R China
[6] George Washington Univ, Sch Med & Hlth Sci, Washington, DC 20052 USA
关键词
Metabolic syndrome; Mortality; Mendelian randomization; CORONARY-HEART-DISEASE; ALL-CAUSE MORTALITY; CARDIOVASCULAR-DISEASE; METAANALYSIS; HYPERTENSION; COHORT;
D O I
10.1186/s13098-025-01628-5
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundMetabolic syndrome (MetS) encompasses a collection of metabolic abnormalities. This study aims to determine which combination of MetS components has the highest mortality risk, and to investigate the causal relationships between MetS components and longevity.MethodsProspective analyses were conducted on 340,196 participants from the MJ cohort at baseline, and 121,936 participants had follow-up MetS information. We defined MetS according to the NCEP ATP III criteria. The study's outcomes included mortality from cardiovascular disease (CVD), cancer, and all causes combined. We employed Cox proportional hazard models to calculate hazard ratios (HRs) and 95% confidence intervals. Multivariable Mendelian randomization (MVMR) was employed to infer causality using the genetic data of MetS components and longevity.ResultsElevated blood pressure (BP) was the initial split for all-cause mortality, cancer mortality, and CVD mortality. Participants with MetS, especially those with elevated BP and elevated fasting plasma glucose (FPG), had higher mortality risks than those with other types of MetS. In the MJ cohort, participants with elevated BP and FPG (BG-type MetS) had a 44% (HR = 1.44, 95% CI = 1.37-1.51), 73% (HR = 1.73, 95% CI = 1.62-1.84), and 34% (HR = 1.34, 95% CI = 1.27-1.42) increased risk of all-cause mortality, cancer mortality, and CVD mortality, respectively, compared with non-BG-type MetS (12%, 24%, 5%). The highest mortality rate and mortality risk were observed in participants with BG-type MetS at baseline and follow-up (mortality rate/1000 person years = 9.73, 95% CI = 8.81-10.74; HR = 1.52, 95% CI = 1.35-1.72). SBP and FPG increases that were genetically proxied to a 1-standard deviation higher level decreased the probabilities of living to the 90th percentile age by 41% (OR = 0.59, 95% CI = 0.40-0.86) and 32% (OR = 0.68, 95% CI = 0.48-0.98) in MVMR, respectively.ConclusionsIndividuals with BG-type MetS are at a higher risk of death than those with other types of MetS. Therefore, these individuals should be targeted to improve MetS outcomes.
引用
收藏
页数:12
相关论文
共 41 条
[1]   Application of Latent Class Analysis to Identify Metabolic Syndrome Components Patterns in adults: Tehran Lipid and Glucose study [J].
Ahanchi, Noushin Sadat ;
Hadaegh, Farzad ;
Alipour, Abbas ;
Ghanbarian, Arash ;
Azizi, Fereidoun ;
Khalili, Davood .
SCIENTIFIC REPORTS, 2019, 9 (1)
[2]   Estimating causality between smoking and abdominal obesity by Mendelian randomization [J].
Carrasquilla, German D. ;
Garcia-Urena, Mario ;
Romero-Lado, Maria J. ;
Kilpelainen, Tuomas O. .
ADDICTION, 2024, 119 (06) :1024-1034
[3]   A meta-analysis of genome-wide association studies identifies multiple longevity genes [J].
Deelen, Joris ;
Evans, Daniel S. ;
Arking, Dan E. ;
Tesi, Niccola ;
Nygaard, Marianne ;
Liu, Xiaomin ;
Wojczynski, Mary K. ;
Biggs, Mary L. ;
van Der Spek, Ashley ;
Atzmon, Gil ;
Ware, Erin B. ;
Sarnowski, Chloe ;
Smith, Albert, V ;
Seppala, Ilkka ;
Cordell, Heather J. ;
Dose, Janina ;
Amin, Najaf ;
Arnold, Alice M. ;
Ayers, Kristin L. ;
Barzilai, Nir ;
Becker, Elizabeth J. ;
Beekman, Marian ;
Blanche, Helene ;
Christensen, Kaare ;
Christiansen, Lene ;
Collerton, Joanna C. ;
Cubaynes, Sarah ;
Cummings, Steven R. ;
Davies, Karen ;
Debrabant, Birgit ;
Deleuze, Jean-Francois ;
Duncan, Rachel ;
Faul, Jessica D. ;
Franceschi, Claudio ;
Galan, Pilar ;
Gudnaso, Vilmundur ;
Harris, Tamara B. ;
Huisman, Martijn ;
Hurme, Mikko A. ;
Jagger, Carol ;
Jansen, Iris ;
Jylha, Marja ;
Kahonen, Mika ;
Karasik, David ;
Kardia, Sharon L. R. ;
Kingston, Andrew ;
Kirkwood, Thomas B. L. ;
Launer, Lenore J. ;
Lehtimaki, Terho ;
Lieb, Wolfgang .
NATURE COMMUNICATIONS, 2019, 10 (1)
[4]  
Dickman PW, 2008, Biostatistics III. Survival analysis for epidemiologists Computing notes for SAS users
[5]   Metabolic Syndrome and Risk of Cancer A systematic review and meta-analysis [J].
Esposito, Katherine ;
Chiodini, Paolo ;
Colao, Annamaria ;
Lenzi, Andrea ;
Giugliano, Dario .
DIABETES CARE, 2012, 35 (11) :2402-2411
[6]   Metabolic syndrome and risk of incident cardiovascular events and death - A systematic review and meta-analysis of longitudinal studies [J].
Gami, Apoor S. ;
Witt, Brandi J. ;
Howard, Daniel E. ;
Erwin, Patricia J. ;
Gami, Lisa A. ;
Somers, Virend K. ;
Montori, Victor M. .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2007, 49 (04) :403-414
[7]  
group LGr, 2023, Longevity Genomics cited, P11
[8]   Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report [J].
Grundy, SM ;
Becker, D ;
Clark, LT ;
Cooper, RS ;
Denke, MA ;
Howard, WJ ;
Hunninghake, DB ;
Illingworth, R ;
Luepker, RV ;
McBride, P ;
McKenney, JM ;
Pasternak, RC ;
Stone, NJ ;
Van Horn, L ;
Brewer, HB ;
Cleeman, JI ;
Ernst, ND ;
Gordon, D ;
Levy, D ;
Rifkind, B ;
Rossouw, JE ;
Savage, P ;
Haffner, SM ;
Orloff, DG ;
Proschan, MA ;
Schwartz, JS ;
Sempos, CT ;
Shero, ST ;
Murray, EZ ;
Keller, SA ;
Jehle, AJ .
CIRCULATION, 2002, 106 (25) :3143-3421
[9]   Risk for cardiovascular disease associated with metabolic syndrome and its components: a 13-year prospective study in the RIVANA cohort [J].
Guembe, Maria J. ;
Fernandez-Lazaro, Cesar I. ;
Sayon-Orea, Carmen ;
Toledo, Estefania ;
Moreno-Iribas, Conchi .
CARDIOVASCULAR DIABETOLOGY, 2020, 19 (01)
[10]   All-cause mortality associated with specific combinations of the metabolic syndrome according to recent definitions [J].
Guize, Louis ;
Thomas, Frederique ;
Pannier, Bruno ;
Bean, Kathy ;
Jego, Bertrand ;
Benetos, Athanase .
DIABETES CARE, 2007, 30 (09) :2381-2387