L3 SMI Research Articles

Association Between Two Muscle-Related Parameters and Postoperative Complications in Patients Undergoing Colorectal Tumor Resection Surgery.

This study aimed to investigate the associations of 2 preoperative muscle-related parameters, the third lumbar vertebra skeletal muscle index (L3 SMI) for muscle mass and the Hounsfield unit average calculation (HUAC) for muscle density, with the occurrence of postoperative complications among patients undergoing colorectal tumor resection surgery under general anesthesia. We hypothesized that muscle-related parameters are associated with the occurrence of postoperative complications. This was a single-center, retrospective observational study. Adult patients who underwent colorectal tumor resection surgery under general anesthesia between 2018.09.01 and 2021.09.01 were enrolled. The last abdominal computed tomography (CT) scan images obtained within 3 months before surgery were used to calculate the L3 SMI and HUAC. The primary outcome was defined as the occurrence of any postoperative complications corresponding to Clavien-Dindo classification before discharge. The secondary outcome was defined as the occurrence of any severe postoperative complications (Clavien-Dindo grade ≥3) before discharge. Multivariable logistic regression analyses were used to estimate the association between muscle-related parameters and incidence of postoperative complications. Patients' baseline demographics, past medical history and intraoperative parameters were adjusted in the multivariable logistic regression analysis. A total of 317 patients with a median age of 66 (58-72) years were included. Sarcopenia (muscle mass reduction) patients in our cohort and myosteatosis (muscle density decline) were present in 254 (80.1 %) and 79 (24.9%) patients, respectively. A total of 135 patients (42.6 %) developed postoperative complications. According to the multivariable logistic regression, myosteatosis (odds ratio [OR], 1.8, 95% confidence interval [CI], 1.0-3.3, P = .039) was significantly associated with postoperative complications. A significant association was observed between myosteatosis and postoperative complications (corresponding to Clavien-Dindo classification before discharge), especially severe postoperative complications (Clavien-Dindo grade ≥3) in patients undergoing colorectal tumor resection. Screening for myosteatosis with HUAC using the CT before surgery may help clinicians identify high-risk perioperative patients early.

CT-based muscle and adipose measurements predict prognosis in patients with digestive system malignancy

The role of skeletal muscle and adipose tissue in the progression of cancer has been gradually discussed, but it needs further exploration. The objective of this study was to provide an in-depth analysis of skeletal muscle and fat in digestive malignancies and to construct novel predictors for clinical management. This is a retrospective study that includes data from Cancer Center, the First Hospital of Jilin University. Basic characteristic information was analyzed by T tests. Correlation matrices were drawn to explore the relationship between CT-related indicators and other indicators. Cox risk regression analyses were performed to analyze the association between the overall survivals (OS) and various types of indicators. A new indicator body composition score (BCS) was then created and a time-dependent receiver operating characteristic curve was plotted to analyze the efficacy of the BCS. Finally, a nomogram was produced to develop a scored-CT system based on BCS and other indicators. C-index and calibration curve analyses were performed to validate the predictive accuracy of the scored-CT system. A total of 575 participants were enrolled in the study. Cox risk regression model revealed that VFD, L3 SMI and VFA/SFA were associated with prognosis of cancer patients. After adjustment, BCS index based on CT was significantly associated with prognosis, both in all study population and in subgroup analysis according to tumor types (all study population: HR 2.036, P < 0.001; colorectal cancer: HR 2.693, P < 0.001; hepatocellular carcinoma: HR 4.863, P < 0.001; esophageal cancer: HR 4.431, P = 0.008; pancreatic cancer: HR 1.905, P = 0.016; biliary system malignancies: HR 23.829, P = 0.035). The scored-CT system was constructed according to tumor type, stage, KPS, PG-SGA and BCS index, and it was of great predictive validity. This study identified VFD, L3 SMI and VFA/SFA associated with digestive malignancies outcomes. BCS was created and the scored-CT system was established to predict the OS of cancer patients.

Prognostic value of 18F-FDG PET radiomics and sarcopenia in patients with oral squamous cell carcinoma.

Oral cancer is one of the most common malignancies in the head and neck region. Approximately 90%of oral cancers are oral squamous cell carcinomas (OSCC). 18F-FDG PET/CT has been used in OSCC patients for its high value in detecting metastatic lymph nodes and distant metastases. PET radiomics and sarcopenia can be measured on the PET and CT components of 18F-FDG PET/CT. This study aimed to investigate the prognostic value of radiomics and sarcopenia measured on the PET and CT components of pre-operation 18F-FDG PET/CT in OSCC. A total of 116 patients eventually enrolled in our study were randomly divided into two cohorts: training cohort (n=58) and validation cohort (n=58). The Cox model combined with the least absolute shrinkage and selection operator (LASSO) algorithm was applied to construct the radiomics score (Rad_score). The third lumber skeletal muscle index (L3 SMI) was calculated to identify sarcopenia. Univariate and multivariate Cox regression analyses were performed to identify the independent prognostic factors. Based on the clinical factors, the clinical model was constructed, and the combined model was developed through the combination of the clinical model and Rad_score. C index, time-dependent C-index curves, receiver operating characteristic (ROC) curve, calibration curves, and decision curve analysis were used to evaluate the performance of prediction models. Three radiomics features constitute the Rad_score for overall survival (OS) and progression-free survival (PFS), respectively. Multivariate Cox regression analysis revealed that Rad_score was an independent prognostic factor, whereas sarcopenia was not. The combined models showed satisfactory performance in both the training cohort (C-index: OS:0.836, PFS:0.776) and the validation cohort (C-index: OS:0.744, PFS:0.712). The combined models were visualized as nomograms. Nomogram scores can realize the risk stratification of OSCC patients. Lower nomogram score is significantly related to the poorer OS (training cohort: p<0.0001, validation cohort: p<0.0001, overall cohort: p<0.0001) and PFS (training cohort: p<0.0001, validation cohort: p=0.00017, overall cohort: p<0.0001). Rad_score, but not sarcopenia, was an independent prognostic factor for patients with OSCC. The nomograms had a satisfactory performance, which might be helpful for OSCC patients and clinicians in personalized prognostic prediction and treatment decision-making.

Sarcopenia Does Not Impact the Outcome of Patients with Multiple Myeloma Consolidated with Autologous Hematopoietic Stem Cell Transplantation

Introduction: Sarcopenia has been associated with chronic diseases and cancer. The aim of this study was to evaluate sarcopenia in multiple myeloma patients undergoing autologous stem cell transplantation. Methods: In 68 eligible patients, measurement of skeletal muscle area (cm2) on computed tomography scans at the level of the L3 vertebra (L3 SMI) was performed. Results: 37 (54%) patients were categorized as sarcopenic: 26 males with L3 SMI values <52.4 cm2/m2, and 11 women with L3 SMI values <38.9 cm2/m2. The majority of sarcopenic patients included were older than 60 years (69%, p = 0.0005), with BMI <25 (75%; p = 0.0000). A significant association was found between sarcopenia and Sorror score value >1 (p = 0.02). Conclusions: The Kaplan-Meier curve showed a median OS of 73.5 months for non-sarcopenic patients versus 86.5 months for sarcopenic patients, suggesting that sarcopenia is not an independent prognostic factor in this cohort of patients. Further prospective studies are needed to confirm these data.

Feasibility of using chest computed tomography (CT) imaging at the first lumbar vertebra (L1) level to assess skeletal muscle mass: a retrospective study

Background Skeletal muscle mass is an essential parameter for diagnosing sarcopenia. The gold standard for assessing skeletal muscle mass is using computed tomography (CT) to measure skeletal muscle area at the third lumbar vertebra (L3) level. This study aims to investigate whether skeletal muscle mass could be evaluated at the first lumbar vertebra (L1) level using images obtained from routine chest CT scans. Methods Skeletal muscle index (SMI, cm2/m2) and skeletal muscle density (SMD, HU) are commonly used to measure relative muscle mass and the degree of fat infiltration. This study used CT images at the L1 level to measure the skeletal muscle area (SMA, cm2) in 815 subjects from the health examination center. Linear regression analysis was used to explore the association between L1 and L3 measurements. The receiver operating characteristic (ROC) analysis was used to assess the predictive performance of L1 SMI for sarcopenia. The sex-specific cut-off values for low skeletal muscle mass in patients under the age of 60 were determined using the following formula: “mean − 1.28 × standard deviation.” A multivariate linear regression model was established. Results A significantly higher SMI at the L1 level was found in males than in females (43.88 ± 6.33 cm2/m2 vs 33.68 ± 5.03 cm2/m2; P &lt; 0.001). There were strong correlations between measures at the L1 and L3 levels in both the total subject and sex-specific analyses. A negative association was found between age and L3 SMI in males (r = −0.231, P = 0.038). Both body mass index (BMI) and body surface area (BSA) were positively associated with L1 SMI in both males and females. A multivariate analysis was used to establish a prediction rule to predict SMI at the L3 level. The assessment of consistency and interchangeability between predicted and actual SMI at the L3 level yielded moderately good results. Considering the significant differences observed between male and female participants, the sex-specific cut-off values of the L1 SMI for defining low skeletal muscle mass were 36.52 cm2/m2 in males and 27.29 cm2/m2 in females. Conclusions Based on a population from central China, the correlated indicators obtained at the L1 level from routine chest CT scans may serve as effective surrogate markers for those at the L3 level in assessing overall skeletal muscle mass.

Low Testosterone Levels Predict Sarcopenia Showing an Effect on Prognosis in Patients with Cirrhosis: A Retrospective Study

Background: Sarcopenia and low serum testosterone levels are both associated with increased mortality in patients with advanced liver disease. Sarcopenia is a major stumbling block of liver cirrhosis and adversely affects other outcome variables. Objective: The aim of this study is to compare testosterone levels between sarcopenia and non-sarcopenia cirrhosis patients, to compare serum testosterone levels with cirrhosis severity (Child-Pugh Score), evaluate the correlation between serum testosterone levels and L3 SMI Index (Sarcopenia), the correlation between serum testosterone levels with other prognostic markers of cirrhosis (MELD score). Method: An observational study of 131 prospectively collected liver cirrhosis patients, who met the inclusion and exclusion criteria, was conducted in the Department of Gastroenterology, National Institute of Medical Sciences and Research, NIMS University, Jaipur, Rajasthan, India, be-tween August 2019 and July 2021. Spearman’s correlation coefficient was used to evaluate the correlation between testosterone levels and L3 SMI. Results: The mean testosterone level in sarcopenia patients was significantly lowered compared to non-sarcopenia patients (152.05 ± 90.48 vs. 364.28 ± 73.55; p = 0.05). The mean testosterone level was highest in Child A than in Child B and lowest in Child C, which was statistically significant (383.50 ± 54.41 vs. 225.06 ± 58.43 vs. 83.38 ± 25.49, p = 0.05). There was a significantly positive correlation between serum testosterone levels and L3 SMI index by MRI (r = 0.619 and p-value &lt;0.000). There was a significant negative correlation between the MELD score and serum testosterone levels. Conclusion: Serum testosterone levels were significantly lower in sarcopenic as compared to non-sarcopenic patients. Serum testosterone levels progressively decreased as liver disease severity increased. There was a significant positive correlation between serum testosterone levels and L3-SMI Index (Sarcopenia).

Computed tomography-determined skeletal muscle density predicts 3-year mortality in initial-dialysis patients in China.

Skeletal muscle mass and quality assessed by computed tomography (CT) images of the third lumbar vertebra (L3) level have been established as risk factors for poor clinical outcomes in several illnesses, but the relevance for dialysis patients is unclear. A few studies have suggested a correlation between CT-determined skeletal muscle mass and quality at the first lumbar vertebra (L1) level and adverse outcomes. Generally, chest CT does not reach beyond L1. We aimed to determine whether opportunistic CT scan (chest CT)-determined skeletal muscle mass and quality at L1 are associated with mortality in initial-dialysis patients. This 3-year multicentric retrospective study included initial-dialysis patients from four centres between 2014 and 2017 in China. Unenhanced CT images of the L1 and L3 levels were obtained to assess skeletal muscle mass [by skeletal muscle index, (SMI), cm2 /m2 ] and quality [by skeletal muscle density (SMD), HU]. Skeletal muscle measures at L1 were compared with those at L3. The sex-specific optimal cutoff values of L1 SMI and L1 SMD were determined in relation to all-cause mortality. The outcomes were all-cause death and cardiac death. Cox regression models were applied to investigate the risk factors for death. A total of 485 patients were enrolled, of whom 257 had both L1 and L3 images. Pearson's correlation coefficient between L1 and L3 SMI was 0.84 (P<0.001), and that between L1 and L3 SMD was 0.90 (P<0.001). No significant association between L1 SMI and mortality was observed (P>0.05). Low L1 SMD (n=280, 57.73%) was diagnosed based on the optimal cutoff value (<39.56 HU for males and <33.06 HU for females). Multivariate regression analysis revealed that the low L1 SMD group had higher risks of all-cause death (hazard ratio 1.80; 95% confidence interval 1.05-3.11, P=0.034) and cardiac death (hazard ratio 3.74; 95% confidence interval 1.43-9.79, P=0.007). In initial-dialysis patients, there is high agreement between the L1 and L3 measures for SMI and SMD. Low SMD measured at L1, but not low SMI, is an independent predictor of both all-cause death and cardiac death.

An analysis of nutritional risk factors in older adults with gastrointestinal tumours

IntroductionThe aim of this study was to investigate risk factors for nutritional risk in older adults with gastrointestinal tumours. Materials and MethodsA total of 170 eligible hospitalised older adults with gastrointestinal tumours were included. Their clinical characteristics were collected, their nutritional risk was screened by NRS 2002, and then patients were divided into a nutritional risk group and a non-nutritional risk group. The observation indicators included body mass index (BMI), muscle mass, muscle strength, and calf circumference. The third lumbar skeletal muscle index (L3 SMI) was calculated using abdominal computed tomography (CT) scan results, and grip strength/muscle strength, 6-m walking speed and calf circumference were measured. Sarcopenia was diagnosed according to the criteria of the Asian Sarcopenia Working Group (AWGS). Finally, we analysed the relationship between nutritional risk and sarcopenia and other related factors (BMI, calf circumference, L3 SMI, grip strength/muscle strength, 6-m walking speed) in older adults with gastrointestinal tumours by multivariate logistic regression analysis. ResultsOlder adults with gastrointestinal tumours who were at nutritional risk accounted for 51.8% of patients in this study. The differences between sex, tumour stage, age, BMI, calf circumference, L3 SMI, grip strength/muscle strength, 6-m walking speed, and prevalence of sarcopenia were statistically significant in two groups (all P < 0.05). Multivariate logistic regression analysis showed that age, BMI, grip strength/muscle strength, and sarcopenia were risk factors of nutritional risk in older adults with gastrointestinal tumours (all P < 0.05). DiscussionOlder adults with gastrointestinal cancer had a higher proportion of nutritional risk, and L3 SMI, grip strength/muscle strength were independent risk factors for nutritional risk. In clinical practice, attention to nutritional risk screening and sarcopenia development in older adults with gastrointestinal cancer is warranted.

A review of radiological definitions of sarcopenia in cancer

AbstractBackgroundSarcopenia in cancer impacts overall survival, surgical complications, and side effects of oncological treatments. Cancer patients frequently receive cross‐sectional imaging, allowing incidental capture of radiological sarcopenia biomarkers. These biomarkers vary by imaging modality, tumour group, patient demographics, and anatomy but lack a consensus with regard to clinical application. In this article, we provide an overview of radiology‐based sarcopenia biomarkers by anatomy and their prevalence in the literature.MethodsIn accordance with previously published scoping review protocol, we searched PubMed/MEDLINE, Embase, Scopus, and Cochrane between 2007 and June 2021. Studies were independently reviewed by two authors with Cohen's kappa 0.81 and reported using descriptive statistics.ResultsThere were 5649 titles and abstracts reviewed, including 459 full‐text articles. There were 23 additions found through references, resulting in 482 total studies. There is a consistent year‐on‐year increase of new radiological sarcopenia landmarks since 2015, with 49.8% studies reporting novel definitions of sarcopenia. The majority of studies ranged between 50 and 300 participants and featured an abdominal sarcopenia marker (94.4%), of which 75.2% used the skeletal muscle index at L3 (L3SMI). Sarcopenia prevalence ranged from 8.33% to 89.66%. Biomarkers are often applied across genders and ethnicities, regardless of the original population the definition originated from, despite the emergence and availability of ethnic‐specific alternatives.ConclusionThere remains a need to incorporate demographics and age into predictive models derived from sarcopenia biomarkers obtained through routine clinical imaging. Use of individual biomarkers needs to be made with careful consideration of the population in which the biomarkers were generated.

Impact of sarcopenia on postoperative pulmonary complications after gastric cancer surgery: A retrospective cohort study.

Few studies have investigated the relationship between sarcopenia and postoperative pulmonary complications (PPCs) after gastric cancer surgery. This study aimed to explore the impact of sarcopenia on PPCs in patients who had undergone gastric cancer surgery. We included patients who underwent a transabdominal radical gastrectomy between June 2016 and October 2020. Patients were divided into two groups according to the median prevalence rate of lumbar triplane skeletal muscle index (L3 SMI): sarcopenia group (≤37.5% percentile in male and female group) and non-sarcopenia group (>37.5% percentile in male and female group). Baseline characteristics, intraoperative and postoperative conditions, pulmonary complications, and overall complications were compared between the two groups. The primary outcome was the incidence of PPCs. The secondary outcomes were overall postoperative complications and length of stay (LOS). Among the 143 patients included, 50 had sarcopenia and 93 had not. Compared to the non-sarcopenia group, the sarcopenia group had a higher the incidence of PPCs (22.0% vs. 8.6%, P = 0.024). The incidence of overall postoperative complications in the sarcopenia group was higher than that in the non-sarcopenia group (36.00% vs. 20.43%, P = 0.043). There was no significant difference in the LOS between the two groups. Our research indicates that sarcopenia, preoperative comorbidities, and longer duration of intraoperative oxygen saturation <95% were risk factors for PPCs. Sarcopenia is an independent risk factor for postoperative complications. Given that our results provided a correlation rather than causation, future prospective randomized trials are needed to confirm the relationship between sarcopenia and prognosis.

Preoperative computed tomography-determined sarcopenia is a reliable prognostic factor in patients with gastric cancer after radical gastrectomy: A sex-specific analysis.

The predictive role of sarcopenia in cancer prognosis is an area of increasing concern. However, the influence of sex difference on the predictive role of sarcopenia in cancer prognosis has not been clearly defined. This retrospective cohort study investigated the effect of preoperative sarcopenia on the long-term outcomes of patients with gastric cancer (GC) based on sexual dimorphism. Preoperative abdominal computed tomography (CT) scans from 379 GC patients who underwent radical gastrectomy were carefully analyzed. The patients were categorized into sarcopenia and non-sarcopenia groups according to the L3 skeletal muscle index (L3 SMI) measured on CT scans. Moreover, other indexes which can be used to evaluate the muscle area or the muscle quality, including skeletal muscle area (SMA), visceral fat area (VFA), subcutaneous fat area (SFA), skeletal muscle radiation attenuation (SM-RA), visceral fat index (VFI), subcutaneous fat index (SFI), and subcutaneous and visceral ratio (SV), were obtained from CT scans. There were 254 men and 125 women included in our study. After calculation, we defined sex-specific SMI-related mortality cutoff as 39.73 and 32.97 cm2/m2 for men and women. Univariable analysis showed that pathological tumor-node-metastasis (pTNM), depth of invasion, lymph node metastasis, differentiation degree, preoperative sarcopenia (for men), SMA (for men), L3 SMI, SFA (for women), SFI (for women), SV (for women), and SM-RA (especially for men) were significant independent predictors of overall survival (OS). Multivariable analysis showed that pTNM, depth of invasion, poor differentiation, and SM-RA were significantly associated with 5-year OS in GC patients. However, CT-determined sarcopenia was associated with significantly worse OS only in men, and SFA was significantly associated with 5-year OS only in women. SM-RA is a reliable prognostic factor in patients with GC after radical gastrectomy. The impact of indexes mentioned above on survival outcomes is dependent on sex. CT-determined preoperative sarcopenia, a muscle-related indicator, was associated with outcomes in men. Adipose-related indicator (SFA), instead, was associated with outcomes in women.

Association between visceral fat and osteoporotic vertebral compression refractures

ObjectivesThe aims of this study were to examine the association between osteoporotic vertebral compression refractures (OVCRFs) and visceral fat and to identify other risk factors for OVCRFs. MethodsWe included 311 patients with OVCRs who underwent percutaneous kyphoplasties (PKPs) at our hospital between May 2016 and December 2017. The visceral fat area (VFA) at the plane of the third lumbar vertebra was assessed using preoperative computed tomography (CT) scans. The patients were divided into two groups: OVCRFs and non-OVCRFs. The perioperative variables were compared between the two groups. Univariate and multivariate analyses were used to determine independent risk factors for OVCRFs. Correlation analysis was performed to investigate the association between bone mineral density (BMD) and visceral fat. ResultsDuring the 1-y follow-up, 311 patients were included in the analysis. OVCRFs occurred in 69 patients (22.19%). High VFA was present in 163 patients (52.41%), including 52 OVCRFs and 111 non-OVCRF patients. In all the patients, high VFA (P < 0.001), older age (P = 0.022), female sex (P = 0.020), lower body mass index (BMI; P = 0.028), lower albumin levels (P < 0.001), lower hemoglobin levels (P = 0.045), lower BMD (P < 0.001), lower L3 skeletal muscle index (L3 SMI; P < 0.001), lower subcutaneous fat area (SFA; P = 0.003), higher VFA/SFA ratio (V/S ratio; P < 0.001), higher visceral fat area/muscle area (V/M) ratio (P < 0.001), and higher visceral fat index (VFI; P = 0.001) were associated with OVCRFs. Multivariate analysis revealed that patients of female sex (P < 0.001) and high VFA (P < 0.001) were independent risk predictors for OVCRFs. Higher BMD (P = 0.014) was a protective predictor of OVCRFs. Among all the overweight and obese patients (BMI ≥24 kg/m2), high VFA(P = 0.002), female sex (P = 0.044), lower albumin levels (P = 0.003), lower hemoglobin levels (P = 0.010), lower vitamin D levels (P = 0.037), lower BMD (P < 0.001), lower L3 SMI (P = 0.015), higher V/S ratios (P = 0.003), higher V/M ratios (P < 0.001), and higher VFIs (P = 0.005) were associated with OVCRFs. Multivariate analysis revealed that higher VFAs (P = 0.004) remained an independent predictor of OVCRFs in overweight and obese patients. Higher BMD (P = 0.011) was a protective predictor of OVCRFs. In the correlation analysis, a negative correlation was observed between the BMD and both the visceral fat area and V/M ratio. ConclusionsHigh VFA is a highly independent risk factor for OVCRFs. Other factors affecting OVCRFs include belonging to the female sex and low BMD. In overweight and obese patients, high VFA and low BMD are independent risk factors for OVCRFs.

The validity of ASMI, RASM, and L3 SMI in assessing skeletal muscle mass in patients with lung cancer.

Both bioelectrical impedance analysis (BIA) and electron computed tomography (CT) can be used as tools for assessing skeletal muscle mass. In order to find a more suitable method for assessing skeletal muscle mass in lung cancer patients, this study conducted a comprehensive comparative analysis of the two methods. We collected baseline data from patients admitted to the oncology department of the First Hospital of Hebei Medical University from October 2017 to December 2021, and collected data through physical examination, body composition analysis measurements and CT examinations. Then we calculated skeletal muscle mass index (ASMI), relative skeletal muscle index (RASM), and third lumbar spine skeletal muscle index (L3 SMI), respectively. Finally we analyzed the correlation between the three methods and body composition and biochemical indicators and the validity of the three methods. A total of 63 patients, 41 males and 22 females, were screened and eligible for enrollment, and the validity of RASM and ASMI was analyzed using L3 SMI as the diagnostic criteria: the sensitivity of RASM and ASMI were 66.67% and 13.33%, respectively, and the specificity was 70.83% and 39.58%, respectively, and the AUC of ROC was 0.736 (p<0.05), 0.264 (p<0.05). In this study, L3 SMI was used as the diagnostic criterion and after calculating and comparing the valid parameters of RASM and ASMI, RASM was recommended as the assessment criterion for skeletal muscle mass in Chinese lung cancer patients.

Evaluating the prognosis of oral squamous cell carcinoma patients via L3 skeletal muscle index.

This study aimed to construct a formula to predict L3skeletal muscle cross-sectional area (CSA) from C3 CSA and to select the cutoff values to evaluate the nutritional status in OSCC. A total of 220 OSCC patients in Nanfang Hospital were divided into two groups: the training set (n=100) and the validation set (n=120). Patients in the training set were performed the preoperative whole-body positron emission tomography-computed tomography (PET/CT) scans, and patients in the validation set received preoperative head-and-neck computed tomography (CT) scans. C3 CSA and L3 CSA were delineated. The predictive formula was established, and the gender-specific thresholds of malnutrition were obtained by X-tile software in training set. Finally, the formula and cutoff values were validated. The predictive formula was successfully established. The gender-specific cutoff values for L3 SMI were 55.0cm2 /m2 for men and 36.6cm2 /m2 for women. There were no differences between the overall survival (OS) of patients diagnosed with malnutrition and that of patients who are not malnutrition. Our studies reveal that the L3 CSA could be calculated by C3 CSA conveniently with our formula in OSCC, which allowed us to assess malnutrition with head-and-neck CT image. However, there is no direct connection found between malnutrition and OS in OSCC. Hence, further studies with a larger sample size may be required.

Utility of multidetector computed tomography quantitative measurements in identifying sarcopenia: a propensity score matched study.

To evaluate the utility of multidetector computed tomography MDCT quantitative measurements in identifying sarcopenia. The clinical data and MDCT images of 64 patients of sarcopenia and 184 non-sarcopenic participants between October 2020 and January 2021were retrospectively analyzed. Propensity score matching was used to match the sarcopenic patients with the non-sarcopenic participants. Two radiologists independently measured the cross-sectional area (CSA) of skeletal muscle and intramuscular fat tissue and CT density of skeletal muscle at the middle L3 vertebral level on CT images of all participants. Intra-observer agreement was evaluated via intraclass correlation coefficients (ICC). A receiver operating characteristic (ROC) curve was built for each variable. Correlations between CT parameters and clinical data were assessed via Pearson or Spearman correlation coefficient. A total of 74 participants (mean age 72 ± 4years, range 66-85years; 38 men and 36 women) were included, comprising 37 sarcopenic patients and 37 non-sarcopenic participants. There were no significant intergroup differences regarding age, sex ratio, and body mass index (BMI) (P < 0.05). The CSA and density of skeletal muscle measured by two radiologists were reliable (ICC ≥ 0.75, P < 0.001). Compared with the sarcopenic group, the non-sarcopenic group had a significantly greater CSA and CT density of the total skeletal muscle (TSM) and paraspinal skeletal muscle (PSM) and skeletal muscle index at L3 level (L3 SMI) (P < 0.05). The fat infiltration ratio (FIR) of TSM, PSM, and psoas muscle was significantly higher in the sarcopenic group than that in non-sarcopenic participants (P < 0.05). ROC curve analysis showed the PSM FIR + PSM CT density (PSM D) had the best predictive value for sarcopenia (AUC = 0.836). The PSM FIR and age were moderately positively correlated (r = 0.410, P < 0.001). Fat infiltration of skeletal muscle had better predictive value than L3 SMI in the diagnosis of sarcopenic. The PSM FIR + PSMD had the best predictive value for sarcopenia, which was moderately positively correlated with age.

The correlation between skeletal muscle index of the L3 vertebral body and malnutrition in patients with advanced lung cancer

BackgroundStudies have shown that the skeletal muscle index at the third lumbar vertebra (L3 SMI) had reasonable specificity and sensitivity in nutritional assessment and prognostic prediction in digestive system cancers, but its performance in lung cancer needs further investigation.MethodsA retrospective study was performed on 110 patients with advanced lung cancer. The L3 SMI, the Patient-Generated Subjective Global Assessment score (PG-SGA score), body mass index (BMI), and serological indicators were analyzed. According to PG-SGA scores, patients were divided into severe malnutrition (≥9 points), mild to moderate malnutrition (≥3 points and ≤ 8 points), and no malnutrition (≤2 points) groups. Pearson correlation and logistic regression analysis were adopted to find factors related to malnutrition, and a forest plot was drawn. The receiver operating characteristic (ROC) curve was performed to compare the diagnostic values of malnutrition among factors, which were expressed by the area under curve (AUC).Results1. The age of patients in the severe malnutrition group, the mild to moderate malnutrition group, and the no malnutrition group significantly differed, with mean ages of 63.46 ± 10.01 years, 60.42 ± 8.76 years, and 55.03 ± 10.40 years, respectively (OR = 1.062, 95%CI: 1.008 ~ 1.118, P = 0.024; OR = 1.100, 95%CI: 1.034 ~ 1.170, P = 0.002). Furthermore, the neutrophil to lymphocyte ratio (NLR) of the severe malnutrition group was significantly higher than that of the no malnutrition group, with statistical significance. The difference between the mild to moderate malnutrition group and the no malnutrition group were not statistically significant, with NLR of 4.07 ± 3.34 and 2.47 ± 0.92, respectively (OR = 1.657,95%CI: 1.036 ~ 2.649, P = 0.035). The L3 SMI of patients in the severe malnutrition and mild to moderate malnutrition groups were significantly lower than that of the patients in the no malnutrition group, with statistical significance. The L3 SMI of patients in the severe malnutrition group, mild to moderate malnutrition group, and no malnutrition group were 27.40 ± 4.25 cm2/m2, 38.19 ± 6.17 cm2/m2, and 47.96 ± 5.02 cm2/m2, respectively (OR = 0.600, 95%CI: 0.462 ~ 0.777, P < 0.001; OR = 0.431, 95%CI: 0.320 ~ 0.581, P < 0.001).2. The Pearson correlation analysis showed that the PG-SGA score positively correlated with age (r = 0.296, P < 0.05) but negatively correlated with L3 SMI (r = − 0.857, P < 0.05). The L3 SMI was also negatively correlated with age (r = − 0.240, P < 0.05).3. The multivariate analysis showed that the L3 SMI was an independent risk factor for malnutrition (OR = 0.446, 95%CI: 0.258 ~ 0.773, P = 0.004; OR = 0.289, 95%CI: 0.159 ~ 0.524, P < 0.001).Conclusion1. The differences in the L3 SMI was statistically significant among advanced lung cancer patients with different nutritional statuses.2. In the nutritional assessment of patients with lung cancer, the L3 SMI was consistent with the PG-SGA.3. The L3 SMI is an independent predictor of malnutrition in patients with advanced lung cancer.

Radiologic Definition of Sarcopenia in Chronic Liver Disease

Sarcopenia is prevalent in patients with chronic liver disease, and affected patients tend to have worse clinical outcomes and higher mortality. However, relevant analyses are limited by heterogeneity in the definition of sarcopenia and in the methodological approaches in assessing it. We reviewed several radiologic methods for sarcopenia in patients with chronic liver disease. Dual energy X-ray absorptiometry (DXA) can measure muscle mass, but it is difficult to evaluate muscle quality using this technique. Computed tomography, known as the gold standard for diagnosing sarcopenia, enables the objective measurement of muscle quantity and quality. The third lumbar skeletal muscle index (L3 SMI) more accurately predicted the mortality of subjects than the psoas muscle index (PMI). Few studies have evaluated the sarcopenia of chronic liver disease using ultrasonography and magnetic resonance imaging, and more studies are needed. Unification of the measurement method and cut-off value would facilitate a more systematic and universal prognosis evaluation in patients with chronic liver disease.

Skeletal Muscle Depletion: A Risk Factor for Pneumonia following Gastric Endoscopic Submucosal Dissection in Elderly Patients

Introduction: Endoscopic submucosal dissection (ESD) is an effective treatment for gastric neoplasms in elderly patients; however, it involves several adverse events, including pneumonia. This study aimed to investigate whether skeletal muscle depletion (SMD) was associated with the development of pneumonia in elderly patients who underwent gastric ESD. Methods: This retrospective observational cohort study included 157 patients (≥80 years) who had undergone gastric ESD. The skeletal muscle cross-sectional area was measured by CT, and the value of the third lumbar vertebra skeletal muscle index (L3 SMI) was evaluated. The SMD was defined as an L3 SMI value ≤38.0 cm2/m2 for women and ≤42.0 cm2/m2 for men. Pneumonia was also diagnosed using CT to identify all included patients. Results: Among 157 patients, 66 (42.0%) showed SMD. In the SMD group, the incidence of pneumonia was 21.2%, whereas it was 7.7% in the non-SMD group (p = 0.018). The longest hospitalization duration was 19 days. Antibiotics were administered in 61.9% of the patients. Procedure time was not significantly different between the groups (72 ± 54 min vs. 62 ± 44 min, p = 0.201). On multivariate analysis, SMD was an independent risk factor for the development of pneumonia (odds ratio = 3.16, 95% confidence interval, 1.18–8.50, p = 0.023). Conclusions: SMD was not a rare entity in patients aged ≥80 years with gastric neoplasms. SMD was a significant risk factor for pneumonia related to gastric ESD in elderly patients.

Alterations of intestinal microbiota in liver cirrhosis with muscle wasting.

The intestinal microbiota plays an important role in the nutritional status and energy metabolism of the host. Liver cirrhosis is accompanied by muscle wasting or sarcopenia. The aim of this study was to to explore the changes in intestinal microbiota in patients with liver cirrhosis and muscle wasting by using metagenomics. This was a cross-sectional study of patients with (n=30) and without (n=30) muscle wasting and age- and sex-matched healthy controls (n=30) to evaluate changes in intestinal microbiota by metagenomic gene sequencing. Muscle wasting was determined by the third lumbar vertebrae skeletal muscle index (L3 SMI). The Shannon index, which represents species diversity, of patients in the muscle-wasting group (2.11 ± 0.88) was lower than in the non-muscle-wasting group (2.64 ± 0.68; P = 0.039), which was significantly lower than in the healthy control group (2.70 ± 0.53; P = 0.023). There were 17 microbial species with significant differences in relative abundance between the two groups (linear discriminant analysis score >2; P < 0.05). The relative abundance of Escherichia coli, Peptostreptococcus stomatis, and Bacteroides uniformis showed the most significant association with L3 SMI. There were compositional alterations in intestinal microbiota in patients with liver cirrhosis and muscle wasting. L3 SMI is closely related to E. coli, P. stomatis, and B. uniformis in liver cirrhosis. Further interventional studies are needed to confirm whether improving intestinal microbiota can improve the nutritional status of patients with liver cirrhosis.

Association between serum irisin concentrations and sarcopenia in patients with liver cirrhosis: a cross-sectional study

Sarcopenia is an independent predictor of mortality in patients with liver cirrhosis. However, evidence has emerged that skeletal muscles mediate their protective effect against sarcopenia by secreting myokines. Therefore, we investigated whether irisin was associated with sarcopenia in patients with liver cirrhosis. This was an observational cross-sectional study of data collected from 187 cirrhotic patients. Sarcopenia was defined by computed tomography (CT) scans using specific cutoffs of the 3rd lumbar vertebra skeletal muscle index (L3 SMI). Morning irisin levels were obtained in all patients. Of the 187 patients, sarcopenia was noted in 73 (39%). Irisin concentrations were lower in sarcopenic patients (32.40 pg/ml [interquartile range (IQR): 18.70, 121.26], p < 0.001) than in nonsarcopenic patients. There was a weak correlation between L3 SMI and irisin levels (r = 0.516, p < 0.001). Multivariable regression analysis including L3 SMI, body mass index (BMI), very-low-density lipoprotein (VLDL)-cholesterol, aspartate aminotransferase (AST), adiponectin, and irisin levels showed that L3 SMI (odds ratio [OR] = 0.915, p = 0.023), adiponectin levels (OR = 1.074, p = 0.014), irisin levels (OR = 0.993, p < 0.001) and BMI (OR = 0.456, p = 0.004) were independently associated with sarcopenia. Irisin levels are associated with sarcopenia in patients with liver cirrhosis. This paper addresses a gap in the literature and facilitates the future transition into clinical treatment.