TY - JOUR
T1 - Predicting Cardiometabolic Risk From Visceral Abdominal Adiposity in Persons With Chronic Spinal Cord Injury
AU - Cirnigliaro, Christopher M.
AU - La Fountaine, Michael F.
AU - Hobson, Joshua C.
AU - Kirshblum, Steven C.
AU - Dengel, Donald R.
AU - Spungen, Ann M.
AU - Bauman, William A.
N1 - Funding Information:
The authors wish to thank the James J Peters VA Medical Center, Bronx, NY, the Department of Veterans Affairs Rehabilitation Research & Development Service, The Kessler Institute for Rehabilitation and the Kessler Foundation, West Orange, NJ, for their support. This material is from work supported by the Department of Veterans Affairs, Veterans Health Administration, Rehabilitation Research and Development Service National Center for the Medical Consequences of Spinal Cord Injury (# B9212-C and B2020-C ). This work does not represent the views of the US Department of Veterans Affairs or the US government.
Funding Information:
The authors wish to thank the James J Peters VA Medical Center, Bronx, NY, the Department of Veterans Affairs Rehabilitation Research & Development Service, The Kessler Institute for Rehabilitation and the Kessler Foundation, West Orange, NJ, for their support. This material is from work supported by the Department of Veterans Affairs, Veterans Health Administration, Rehabilitation Research and Development Service National Center for the Medical Consequences of Spinal Cord Injury (#B9212-C and B2020-C). This work does not represent the views of the US Department of Veterans Affairs or the US government. C. Cirnigliaro, M. Fountaine, J. Hobson, S. Kirshblum, D. Dengel, A. Spungen, and W. Bauman declare that they have no conflict of interest or financial disclosure with regard to the information presented.
Publisher Copyright:
© 2021
PY - 2021/7/1
Y1 - 2021/7/1
N2 - Persons with spinal cord injury (SCI) have increased adiposity that may predispose to cardiovascular disease compared to those who are able-bodied (AB). The purpose of this study was to determine the relationships between dual energy X-ray absorptiometry (DXA)-derived visceral adipose tissue (VAT) and biomarkers of lipid metabolism and insulin resistance in persons with chronic SCI. A prospective observational study in participants with chronic SCI and age- and gender-matched AB controls. The study was conducted at a Department of Veterans Affairs Medical Center and Private Rehabilitation Hospital. The quantification of DXA-derived VAT volume (VATvol) and blood-derived markers of lipid and carbohydrate metabolism were determined in 100 SCI and 51 AB men. The VATvol was acquired from a total body DXA scan and analyzed using iDXA enCore CoreScan software (GE Lunar). Blood samples were collected for the serum lipid profile and plasma and glucose concentrations, with the latter two values used to calculate a measure of insulin resistance. In the SCI and AB groups, VAT% was significantly correlated with most cardiometabolic biomarkers. The results of the binary logistic regression analysis revealed that participants who had a VATvol above the cutoff value of 1630 cm3 were 3.1-, 4.8-, 5.6-, 19.2-, and 16.7-times more likely to have high serum triglycerides (R2N= 0.09, p = 0.014), low serum high density lipoprotein cholesterol (R2N = 0.16, p < 0.001), HOMA2-IR (R2N = 0.18, p < 0.001), metabolic syndrome (R2N = 0.25, p < 0.001), and a 10-yr Framingham Risk Score ≥ 10% (R2N = 0.16, p = 0.001), respectively, when compared to participants below this VATvol cutoff value. Our findings reveal that persons with chronic SCI have a higher VATvol than that of AB controls, and VATvol correlates directly with biomarkers of lipid and carbohydrate metabolism that are strong predictors of cardiometabolic disorders.
AB - Persons with spinal cord injury (SCI) have increased adiposity that may predispose to cardiovascular disease compared to those who are able-bodied (AB). The purpose of this study was to determine the relationships between dual energy X-ray absorptiometry (DXA)-derived visceral adipose tissue (VAT) and biomarkers of lipid metabolism and insulin resistance in persons with chronic SCI. A prospective observational study in participants with chronic SCI and age- and gender-matched AB controls. The study was conducted at a Department of Veterans Affairs Medical Center and Private Rehabilitation Hospital. The quantification of DXA-derived VAT volume (VATvol) and blood-derived markers of lipid and carbohydrate metabolism were determined in 100 SCI and 51 AB men. The VATvol was acquired from a total body DXA scan and analyzed using iDXA enCore CoreScan software (GE Lunar). Blood samples were collected for the serum lipid profile and plasma and glucose concentrations, with the latter two values used to calculate a measure of insulin resistance. In the SCI and AB groups, VAT% was significantly correlated with most cardiometabolic biomarkers. The results of the binary logistic regression analysis revealed that participants who had a VATvol above the cutoff value of 1630 cm3 were 3.1-, 4.8-, 5.6-, 19.2-, and 16.7-times more likely to have high serum triglycerides (R2N= 0.09, p = 0.014), low serum high density lipoprotein cholesterol (R2N = 0.16, p < 0.001), HOMA2-IR (R2N = 0.18, p < 0.001), metabolic syndrome (R2N = 0.25, p < 0.001), and a 10-yr Framingham Risk Score ≥ 10% (R2N = 0.16, p = 0.001), respectively, when compared to participants below this VATvol cutoff value. Our findings reveal that persons with chronic SCI have a higher VATvol than that of AB controls, and VATvol correlates directly with biomarkers of lipid and carbohydrate metabolism that are strong predictors of cardiometabolic disorders.
KW - Biomarkers
KW - Dual energy X-ray absorptiometry
KW - Spinal cord injury
KW - Subcutaneous adipose tissue
KW - Visceral adipose tissue
UR - http://www.scopus.com/inward/record.url?scp=85106289672&partnerID=8YFLogxK
U2 - 10.1016/j.jocd.2021.03.010
DO - 10.1016/j.jocd.2021.03.010
M3 - Article
C2 - 34001430
AN - SCOPUS:85106289672
VL - 24
SP - 442
EP - 452
JO - Journal of Clinical Densitometry
JF - Journal of Clinical Densitometry
SN - 1094-6950
IS - 3
ER -