Poster Presentation 50th International Society for the Study of the Lumbar Spine Annual Meeting 2024

Is metabolic syndrome related to sarcopenia? Analysis of correlation between 3D volumetric measurements of abdominal muscles and fat using abdominal CT scan based AI deep learning algorithm for 980 health checkup patients. (#108)

Sung-Ryul Choi 1 , Kyung-Soo Suk 1 , Hak-Sun Kim 2 , Seong-Hwan Moon 2 , Si-Young Park 2 , Byung Ho Lee 1 , Sub-Ri Park 1 , Jin-Oh Park 3 , Ji-Won Kwon 1
  1. Department of Orthopedic Surgery, Spine and Spinal Cord Institute, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of korea
  2. Department of Orthopedic Surgery, Yonsei University College of Medicine, Seoul, Republic of korea
  3. Department of Orthopedic Surgery, Yongin Severance Hospital, Yonsei University College of Medicine, Gyeonggi-do , Republic of korea

654c3bdd886c1-sarcopenia.png

Sarcopenia, characterized by the progressive loss of skeletal muscle mass and function, has emerged as a significant public health concern, particularly in aging populations. Additionally, there is no study about the relation between sarcopenia and metabolic syndrome. Metabolic syndrome is a cluster of conditions, including obesity, high blood pressure, high blood sugar, and abnormal cholesterol levels. It increases the risk of heart disease, stroke, and type 2 diabetes. A principal contributor to the development of Metabolic Syndrome is an elevation in Insulin Resistance (IR). 

The included patients underwent APCT during their health check-up, and were asked to conduct questionnaires, as well as their past history and several blood tests. A total of 980 patients were selected. To determine an appropriate cut-off value, we established a reference group comprising 125 men and 107 women aged 19-50. Muscle volume was calculated by summing the measurements of the skeletal muscle, psoas muscle, erector spinae muscle, and multifidus muscle using 3D volumetric in abdominal CT scan based AI deep learning algorithm. At this point, the mean muscle volume in the reference group was measured to be 84.47 ± 13.48 cm3 for males and 51.75 ± 7.09 cm3 for females. Values falling one standard deviation below the reference group's mean were defined as sarcopenia. We assessed age and obtained the blood test, surveys, Bioelectrical Impedance Analysis (BIA) to confirm whether the patients have metabolic syndrome. 

In the case of men, there is a significant association between sarcopenia and metabolic syndrome, and the risk of sarcopenia increases in patients with metabolic syndrome. However, in women, no significant association was observed.

The reason for the lack of a significant correlation between sarcopenia and metabolic syndrome in women may be attributed to various factors. The most prominent one is the drastic hormonal changes that occur during menopause in females. Menopause is associated with a decline in estrogen levels, which could lead to an increase in visceral adiposity as well as a decrease in bone density, muscle mass and muscle strength