Evaluation of the Value of Waist Circumference and Metabolomics in the Estimation of Visceral Adipose Tissue. Issue 5 (6th January 2022)

• Record Type: Journal Article
• Authors: Boone, Sebastiaan C; van Smeden, Maarten; Rosendaal, Frits R; le Cessie, Saskia; Groenwold, Rolf H H; Jukema, J Wouter; van Dijk, Ko Willems; Lamb, Hildo J; Greenland, Philip; Neeland, Ian J; Allison, Matthew A; Criqui, Michael H; Budoff, Matthew J; Lind, Lars L; Kullberg, Joel; Ahlström, Håkan; Mook-Kanamori, Dennis O; de Mutsert, Renée
• Is Part Of: American journal of epidemiology. Volume 191:Issue 5(2022)
• Page Start: 886
• Page End: 899
• Publication Date: 2022-01-06
• Subjects: added value -- development -- external validation -- metabolomics -- prediction -- visceral adipose tissue; Epidemiology -- Periodicals; Public health -- Periodicals; 614.4
• DOI: 10.1093/aje/kwab298
• Languages: English
• ISSNs: 0002-9262

Abstract

Abstract: Visceral adipose tissue (VAT) is a strong prognostic factor for cardiovascular disease and a potential target for cardiovascular risk stratification. Because VAT is difficult to measure in clinical practice, we estimated prediction models with predictors routinely measured in general practice and VAT as outcome using ridge regression in 2, 501 middle-aged participants from the Netherlands Epidemiology of Obesity study, 2008–2012. Adding waist circumference and other anthropometric measurements on top of the routinely measured variables improved the optimism-adjusted R 2 from 0.50 to 0.58 with a decrease in the root-mean-square error (RMSE) from 45.6 to 41.5 cm 2 and with overall good calibration. Further addition of predominantly lipoprotein-related metabolites from the Nightingale platform did not improve the optimism-corrected R 2 and RMSE. The models were externally validated in 370 participants from the Prospective Investigation of Vasculature in Uppsala Seniors (PIVUS, 2006–2009) and 1, 901 participants from the Multi-Ethnic Study of Atherosclerosis (MESA, 2000–2007). Performance was comparable to the development setting in PIVUS ( R 2 = 0.63, RMSE = 42.4 cm 2, calibration slope = 0.94) but lower in MESA ( R 2 = 0.44, RMSE = 60.7 cm 2, calibration slope = 0.75). Our findings indicate that the estimation of VAT with routine clinical measurements can be substantially improved by incorporating waist circumference but not by metabolite measurements.