Background: The severity of the metabolic syndrome (MetS) predicts future coronary heart disease (CHD) and diabetes independent of the individual MetS components. Our aim was to evaluate whether MetS severity conferred additional discrimination to existing scoring systems for cardiovascular disease (CVD) and diabetes risk.
Methods: We assessed Cox proportional hazard models of CHD- and diabetes risk among 13,141 participants of the Atherosclerosis Risk in Communities Study and the Jackson Heart Study, using the Framingham Risk Calculator, the American Heart Association's Atherosclerotic CVD calculator, the American Diabetes Association diabetes risk score and an additional diabetes risk score derived from ARIC data. We then added a MetS-severity Z-score to these models and assessed for added risk discrimination by assessing Akaike information criterion, c-statistic, integrated discrimination improvement (IDI) and continuous net reclassification improvement (NRI).
Results: The MetS severity score appears to add to the predictive ability of individual CHD and diabetes risk scores. Using the IDI, MetS improved risk prediction for diabetes but not CHD risk. In all 4 scoring systems, MetS severity had a significant non-event NRI, improving the ability to exclude individuals without events. Assessing interactions between risk scores and MetS severity revealed that MetS severity was more highly associated with disease risk among those in the lowest quintiles of risk score, suggesting that MetS was particularly able to identify risk among individuals judged to be of low risk by existing algorithms.
Conclusions: Mets severity improved prediction of diabetes more so than CHD. Incorporation of multiple risk predictors into electronic health records may help in better identifying those at high disease risk, who can then be placed earlier on preventative therapy.
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http://dx.doi.org/10.1186/s13098-018-0344-3 | DOI Listing |
Arch Biochem Biophys
January 2025
Department of Urology, Affiliated Haikou Hospital of Central South University Xiangya Medical School, Central South University, Changsha, Hunan, 410011, China; Department of Urology, the Third People's Hospital of Haikou, Hainan, 570100, China. Electronic address:
Benign prostatic hyperplasia (BPH) is a prevalent condition associated with male lower urinary tract symptoms (LUTS) and is influenced by metabolic syndrome (MetS) and gut microbiota. Akkermansia muciniphila (AKK) is a gut commensal that has emerged as a potential modulator of metabolic health and inflammatory conditions. This study investigated the correlation between Akkermansia abundance and BPH severity and metabolic indices in fecal and serum samples from BPH patients and healthy donors using 16S rRNA sequencing and metabolic profiling.
View Article and Find Full Text PDFJ Clin Transl Endocrinol
March 2025
Section on Growth and Obesity, Division of Intramural Research (DIR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA.
Background: Identifying and treating metabolic syndrome (MetS) early is of great importance, as MetS portends numerous negative health outcomes. Identifying an inexpensive, readily available inflammatory biomarker that accurately predicts MetS could be of use to clinicians.
Methods: The aim of this study was to evaluate the relationship between the neutrophil-to-lymphocyte ratio (NLR) and MetS in U.
Genes Immun
January 2025
School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Recent studies have highlighted the critical role of lipid metabolism in macrophages concerning lung inflammation. However, it remains unclear whether lipid metabolism is involved in macrophage extracellular traps (METs). We analyzed the GSE40885 dataset from the GEO database using weighted correlation network analysis (WGCNA) and further selection using the least absolute shrinkage and selection operator (LASSO) regression.
View Article and Find Full Text PDFArch Dermatol Res
January 2025
Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, No.1 Shuai Fu Yuan Street, Dong Cheng District, Beijing, 100730, China.
In Vivo
December 2024
Second Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Japan;
Background/aim: To elucidate the relationship between metabolic syndrome (Mets) and somatic composition [fat mass, fat-free (FF) mass, and fat to fat-free (F-FF) ratio] among health checkup recipients (7,776 males and 10,121 females).
Patients And Methods: We classified study subjects into four types considering Japanese criteria for Mets; Type A is for males with waist circumference (WC) <85 cm and females with WC <90 cm, Type B is for males with WC ≥85 cm and females with WC ≥90 cm, but without any metabolic abnormalities, Type C is for males with WC ≥85 cm and females with WC ≥90 cm and one metabolic disorder (pre-Mets), and Type D is Mets. We compared baseline characteristics among types of A, B, C, and D.
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