CT-quantified sarcopenic visceral obesity is associated with poor transplant waitlist mortality in patients with cirrhosis.
Nghiem B HaBo FanAmy M ShuiChiung-Yu HuangDanielle BrandmanJennifer C LaiPublished in: Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society (2023)
Sarcopenic obesity is associated with higher rates of morbidity and mortality than seen with either sarcopenia or obesity alone. We aimed to define sarcopenic visceral obesity (SVO) using CT-quantified skeletal muscle index and visceral-to-subcutaneous adipose tissue ratio and to examine its association with waitlist mortality in patients with cirrhosis. Included were 326 adults with cirrhosis awaiting liver transplantation in the ambulatory setting with available abdominal CT within 6 months from enrollment between February 2015 and January 2018. SVO was defined as patients with sarcopenia (skeletal muscle index <50 cm2/m2 in men and <39 cm2/m2 in women) and visceral obesity (visceral-to-subcutaneous adipose tissue ratio ≥1.21 in men and ≥0.48 in women). The percentage who met criteria for sarcopenia, visceral obesity, and SVO were 44%, 29%, and 13%, respectively. Cumulative incidence of waitlist mortality was higher in patients with SVO compared to patients with sarcopenia without visceral obesity or visceral obesity without sarcopenia at 12 months (40% vs. 21% vs. 12%) (overall logrank p=0.003). In univariable Cox regression, SVO was associated with waitlist mortality (HR: 3.42, 95% CI: 1.58-7.39), which remained significant after adjusting for age, sex, diabetes, ascites, encephalopathy, MELDNa, liver frailty index, and different body compositions (HR: 2.64, 95% CI: 1.11-6.30). SVO was associated with increase waitlist mortality in patients with cirrhosis in the ambulatory setting awaiting liver transplantation. Concurrent loss of skeletal muscle and gain of adipose tissue seen in SVO quantified by CT may be a useful and objective measurement to identify patients at risk for suboptimal pretransplant outcomes.
Keyphrases
- insulin resistance
- skeletal muscle
- adipose tissue
- polycystic ovary syndrome
- high fat diet induced
- high fat diet
- metabolic syndrome
- type diabetes
- glycemic control
- cardiovascular events
- computed tomography
- weight loss
- risk factors
- image quality
- magnetic resonance imaging
- cardiovascular disease
- contrast enhanced
- squamous cell carcinoma
- end stage renal disease
- newly diagnosed
- dual energy
- healthcare
- radiation therapy
- body mass index
- chronic kidney disease
- magnetic resonance
- tyrosine kinase
- cell free