Background: Declines in nutrition status and adverse body composition changes frequently occur in the critically ill. The objective of this cross‐sectional study was to examine the prevalence of sarcopenia and its occurrence in patients classified as normal nourished using subjective global assessment (SGA). Methods: Exploiting diagnostic CT images, skeletal muscle mass at the L3 region was quantified and used to determine sarcopenia and its association with normal nutrition status in 56 patients with respiratory failure. Sarcopenia was defined as an L3 skeletal muscle index of ≤38.5 cm2/m2 for women and ≤52.4 cm2/m2 for men. CT imaging and SGA classifications completed within 14, 10 and 7 days of each other were analyzed to assess sarcopenia and the influence of time between scans on misclassification (ie, normal nourished and sarcopenic). Descriptive statistics were conducted. Results: The average patient was 59.2 (± 15.6) years old, admitted with sepsis/infection, an APACHE II score of 26 (± 8.0), and BMI of 28.3 (± 5.8). Sarcopenia and sarcopenic obesity were prevalent in a minimum of 56% and 24% of patients, respectively, depending on the number of days between CT imaging and SGA assessment. Misclassified individuals were predominantly male, minority and overweight or obese. Controlling for age, no significant differences were noted for patients classified as normal nourished vs malnourished by SGA for lumbar muscle cross‐sectional, whole‐body lean mass, or skeletal muscle index. Conclusions: Sarcopenia is highly prevalent among patients with respiratory failure requiring mechanical ventilation (MV) and not readily detected in patients classified as normal nourished using SGA.

Background Assessment of nutritional status in intensive care unit (ICU) patients is limited. Computed tomography (CT) scans that include the first to fifth lumbar region completed for diagnostic purposes measures fat and lean body mass (LBM) depots and are frequently done in ICU populations and can be used to quantify fat and LBM depots. The purpose of this study was to assess if these scans could measure change in skeletal muscle (SKT), visceral adipose (VAT), and intermuscular adipose (IMAT) tissue and to examine the association between the amount of energy and protein received and changes in these depots. Methods Cross-sectional area of SKT, VAT, and IMAT from CT scans at the third lumbar region was quantified at 2 time points (CT1 and CT2). Change scores between CT1 and CT2 for each of these depots and the percentage of estimated energy/protein needs received were determined in 33 adults that with acute respiratory failure. Descriptive statistics and multiple regression was used to evaluate the influence of baseline characteristics and the percentage energy/protein needs received between CT1 and CT2 on percentage change/day between CT1 and CT2 on SKM, IMAT, and VAT. Results Participants were on average (SD) 59.7 (16) years old, received 41% of energy and 57% of protein needs. The average time between CT1 and CT2 was 10 (5) days. SKM declined 0.49%/day (men P = .07, women P = .09) and percentage of energy needs received reduced loss (β = 0.024, P = .03). No change in VAT or IMAT occurred. Conclusions CT scans can be exploited to assess change in body composition in ICU patients and may assist in detecting the causal link between nutritional support and outcomes in future clinical trials.

No abstract

Pancreatic lipomas are rare benign lesions, with only 15 examples documented in the current literature. We describe five cases of intrapancreatic lipomas from a single institution, all incidentally found using computed tomography within a 14-month period. Computed tomography depicted lipomas as homogeneous, nonenhancing, well-marginated lesions with a density coefficient consistent with adipose tissue.

Background: Pancreatic ductal adenocarcinoma (PDAC) has a poor survival rate, partly due to delayed diagnosis. Identifying high-risk individuals could lead to early detection and improve survival. A number of risk factors such as alcohol consumption and metabolic syndrome are associated with fatty infiltration of the pancreas. Experimental models show that a fatty pancreas promotes tissue inflammation and fibrosis, which could promote PDAC. Methods: We conducted a case-control study in a single-university tertiary hospital. Sixty-eight PDAC cases with recent non-contrast computed tomography (CT) and 235 controls were studied. The controls had no history of malignancy and underwent CT colonography for cancer screening in the same period. Pancreatic fat was estimated by calculating pancreatic (P) attenuation, corrected to splenic (S) attenuation, measured in three 1.0-cm² regions of the pancreas. The P.S100 value calculated was used to estimate fatty infiltration of the pancreas (FIP), with a lower P.S100 representing a higher FIP. Results: The PDAC patients had a lower BMI and a higher rate of type 2 diabetes mellitus. The P.S100 was lower in cases than in controls (86.452 vs. 92.414, p = 4.016e-06), suggesting that FIP is higher with PDAC. The risk of developing PDAC steadily increased significantly for the quartiles with a higher FIP compared to the low FIP quartile. No correlation between BMI and FIP (r = –0.1031179; 95% confidence interval [CI] –0.22267106 to 0.01949092) was found. Adjusting for confounders (age, sex, BMI, and DM), the risk of developing PDAC according to the FIP was estimated to be 3.75 (95% CI 1.9234408–7.993337; p = 0.000171). FIP was stable before and after the diagnosis of PDAC in 9 cases with prior CT scans when no pancreatic tumor was identifiable. Conclusion: Fatty pancreas is associated with an increased risk of pancreatic cancer. Once confirmed in larger-scale studies, these findings could help to identify at-risk individuals, particularly in high-risk groups such as chronic alcohol consumers