Clinical impact of sarcopenia for overweight or obese patients with colorectal cancer.

BACKGROUND: Sarcopenia, overweight and obesity are all dynamic changes in body composition, which may have a negative effect on the prognosis for patients with colorectal cancer. The aim of this study was to investigate the predictive role of sarcopenia on overweight or obese patients with colorectal cancer. METHODS: We conducted an observative study on the population of overweight or obese patients with colorectal cancer who underwent curative surgeries in two centers between 2015 and 2021. They were grouped by the presence of sarcopenia. Propensity score match analysis was used to balance the baseline of clinicopathologic characteristics of the two groups. Then, the postoperative outcomes between the two groups were compared. Independent risk factors were evaluated for complications using univariate and multivariate analysis. RESULTS: Of 827 patients enrolled, 126 patients were matched for analysis. Patients with sarcopenia had a higher incidence of total complication and medical complications, a higher rate of laparoscopic surgery performed and higher hospitalization costs. Old age (≥65 years, P = 0.012), ASA grade (III, P = 0.008) and sarcopenia (P = 0.036) were independent risk factors for total complications. ASA grade (III, P = 0.002) and sarcopenia (P = 0.017) were independent risk factors for medical complications. CONCLUSIONS: Sarcopenia was prevalent among overweight or obese patients with colorectal cancer and was associated with negative postoperative outcomes. Early recognition of changes in body composition could help surgeons be well prepared for surgical treatment for overweight or obese patients.

Establishment and validation of novel nomograms to predict muscle quality in colorectal cancer patients.

OBJECTIVES: The skeletal muscle mass index and skeletal muscle radiodensity have promise as specific diagnostic indicators for muscle quality. However, the difficulties in measuring low skeletal muscle mass index and low skeletal muscle radiodensity limit their use in routine clinical practice, impeding early screening and diagnosis. The objective of this study is to develop a nomogram that incorporates preoperative factors for predicting low skeletal muscle mass index and low skeletal muscle radiodensity. METHODS: A total of 1692 colorectal cancer patients between 2015 and 2021 were included. The patients were randomly divided into a training cohort (n = 1353) and a validation cohort (n = 339). Nomogram models were calibrated using the area under the curve, calibration curves, and the Hosmer-Lemeshow test to assess their predictive ability. Finally, a decision curve was applied to assess the clinical usefulness. RESULTS: In a prediction model for low skeletal muscle mass index, age, body mass index, and grip strength were incorporated as variables. For low skeletal muscle radiodensity, age, sex, body mass index, serum hemoglobin level, and grip strength were included as predictors. In the training cohort, the area under the curve value for low skeletal muscle mass index was 0.750 (95% CI, 0.726-0.773), whereas for low skeletal muscle radiodensity, it was 0.763 (95% CI, 0.739-0.785). The Hosmer-Lemeshow test confirmed that both models fit well in both cohorts. Decision curve analysis was applied to assess the clinical usefulness of the model. CONCLUSIONS: The incorporation of preoperative factors into the nomogram-based prediction model represents a significant advancement in the muscle quality assessment. Its implementation has the potential to early screen patients at risk of low skeletal muscle mass index and low skeletal muscle radiodensity.

A novel insight into the key gene signature associated with the immune landscape in the progression of sarcopenia.

Sarcopenia is an age-related skeletal muscle disorder that causes falls, disability and death in the elderly, but its exact mechanism remains unknown. In this study, we merged three GEO datasets into the expression profiles of 118 samples and screened 22 differentially expressed genes (DEGs) as candidate genes. Pathway analysis demonstrated that the functional enrichment of DEGs is mainly in the cellular response to insulin stimulus, PPAR signaling pathway and other metabolism-related pathways. Then, we identified six key genes by machine learning, which were confirmed to be closely associated with sarcopenia by bioinformatics analysis. It was experimentally verified that SCD1 exhibits the most substantial alterations in the progression of sarcopenia with disturbed lipid metabolism and myosteatosis. In addition, the immune microenvironment of sarcopenia was found to be affected by these key genes, with Th17 cells down-regulated and NK cells up-regulated. Sarcopenic patients consequently presented a more significant systemic inflammatory state with higher CAR (p = 0.028) and PAR (p = 0.018). For the first time, we identified key genes in sarcopenia with high-throughput data and demonstrated that key genes can regulate the progression of sarcopenia by affecting the immune microenvironment. Among them, SCD1 may influence lipid metabolism and myosteatosis process. Screening of key genes and analyzing of immune microenvironment provide a more accurate target for treating sarcopenia.

Thoracic sarcopenia predicts clinical outcomes in patients undergoing coronary artery bypass grafting: A 6-year cohort study.

BACKGROUND: The relationship between thoracic sarcopenia and clinical outcomes in patients underwent coronary artery bypass grafting (CABG) is unclear. This study aims to evaluate whether thoracic sarcopenia has a satisfactory prognostic effect on adverse outcomes after CABG. METHODS: From December 2015 to May 2021, 338 patients who underwent isolated CABG at our institution were recruited in this study. Skeletal muscle area at T12 level acquired by chest computed tomography (CT) was normalized to assess thoracic sarcopenia. Univariate and multivariate analyses were performed to evaluate the risk factors of postoperative complications and overall survival (OS). RESULTS: The prevalence of thoracic sarcopenia in patients underwent CABG was 13.02%. The incidence of total major complication was significantly higher in thoracic sarcopenia group (81.8% vs 61.9%, p = 0.010). Thoracic sarcopenic patients also had longer postoperative hospital stays (p = 0.047), intensive care unit (ICU) stays (p = 0.001), higher costs (p = 0.001) and readmission rates within 30 days of discharge (18.2% vs 4.4%, p = 0.001). Patients without thoracic sarcopenia showed significantly higher OS at the 2-year follow-up period (93.9% vs 72.7%, p<0.001). Multivariate analyses demonstrated that thoracic sarcopenia was significantly and independently associated with postoperative complications and long-term OS after CABG. CONCLUSION: Thoracic sarcopenia is an effective clinical predictor of adverse postoperative complications and long-term OS in patients underwent CABG. Thoracic sarcopenia based on chest CT should be included in preoperative risk assessment of CABG.

Prognostic significance of postoperative loss of skeletal muscle mass in patients underwent coronary artery bypass grafting.

Background: Increasing life expectancy of coronary artery bypass grafting (CABG) remains to be the major concern of cardiac surgeons. However, few studies have investigated the effect of postoperative skeletal muscle index (SMI) loss on prognosis. This study aims to evaluate the prognostic role of postoperative SMI loss ≥ 5% after CABG, in order to develop a novel nomogram to predict overall survival (OS). Methods: Patients underwent CABG via midline sternotomy from December 2015 to March 2021 were recruited in this study. Preoperative and postoperative 3 months chest computed tomography (CT) images were compared to assess changes in SMI at T12 level. Based on this, patients were classified into the presence or absence of SMI loss ≥ 5%. The association between postoperative SMI loss ≥ 5% and OS was then analyzed by the Kaplan-Meier curves and Cox model. A novel nomogram incorporating independent clinical prognostic variables was also developed. Results: The study enrolled 506 patients receiving CABG, of whom 98 patients experienced T12 SMI loss ≥ 5% and had a significantly worse OS (P < 0.0001). Multivariate regression analysis showed that T12 SMI per cent change (%T12 SMI-change) was an independent prognostic factor for OS (HR = 0.809, 95% CI = 0.749-0.874). The nomogram incorporating %T12 SMI-change with other variables was accurate for predicting OS. Besides, we also found that postoperative oral nutritional supplement (ONS) can rescue T12 SMI loss. Conclusion: Postoperative SMI loss can predict survival outcome after CABG. The nomogram incorporating changes in SMI provides a superior performance than existing systems.

Prognostic value of myosteatosis and sarcopenia for elderly patients with colorectal cancer: A large-scale double-center study.

BACKGROUND: Myosteatosis and sarcopenia are forms of muscle depletion that impair the normal physiological function of elderly patients, resulting in a worse prognosis. This study aimed to evaluate the prognostic value of sarcopenia and myosteatosis on postoperative outcomes in elderly patients with colorectal cancer. METHODS: From February 2015 to March 2021, a total of 921 elderly patients who underwent curative surgeries for colorectal cancer at 2 centers were enrolled and grouped by the presence of either myosteatosis or sarcopenia. Clinicopathological characteristics and postoperative outcomes were compared between the 2 groups. The independent risk factors for complications and overall survival were evaluated. RESULTS: Patients with myosteatosis had higher incidences of total and surgical complications, longer surgical duration, lower numbers of lymph nodes harvested, and longer postoperative hospital stays. Patients with sarcopenia had higher incidences of total complications, medical complications, and shorter surgical durations. Both conditions had adverse effects on overall survival and disease-free survival. Overweight status (P = .004), hypoalbuminemia (P < .001), myosteatosis, (P = .029) and sarcopenia (P = .017) were independent risk factors for total complications. Hypoalbuminemia (P = .035), myosteatosis (P = .003), sarcopenia (P = .027), and tumor-nodes-metastasis stage (≥Ⅲ; P < .001) were independent negative prognostic factors for overall survival. CONCLUSION: Myosteatosis and sarcopenia have different characteristics and are associated with poor prognoses in elderly patients with colorectal cancer. Myosteatosis occurs more frequently. Early diagnosis and intervention for myosteatosis should be included in preoperative management, which may improve prognosis in elderly patients.

Comparisons and Impacts of the Basic Components of Sarcopenia Definition and Their Pairwise Combinations in Gastric Cancer: A Large-Scale Study in a Chinese Population.

Background and Aims: Sarcopenia is negatively associated with clinical outcomes. However, the definitions of sarcopenia are inconsistent across international consensuses. Thus, the purpose of this study is to compare the impact of the basic definition components of sarcopenia and their combinations in post-operative complications and overall survival, aiming to find the best sarcopenia definition to stratify the prognosis in an Asian population. Methods: A total of 1,307 patients who underwent curative surgery for gastric cancer from July 2014 to May 2019 were prospectively included. The basic sarcopenia components were measured pre-operatively, including low skeletal muscle mass index (LSMI), low skeletal muscle radiodensity (LSMD), low handgrip strength (LHGS), and low gait speed (LGS). Among them, LSMI and LSMD were measured using a CT post-processing software, LHGS was measured using an electronic hand dynamometer, and LGS was represented by a 6-m walk speed. Results: For the single basic component, the muscle function parameters (LHGS or LGS) but not the muscle composition parameters (LSMI or LSMD) showed associations with post-operative complications and mortality. For the combination of the basic combinations, all statistically significant combinations included at least one muscle function parameter. The combination of muscle composition (LSMI or LSMD) and muscle function (LHGS or LGS) had a significantly higher area under the curve in the prediction of post-operative complications compared with the combinations of two muscle function parameters (LSMI plus LSMD) or two muscle composition parameters (LHGS plus LGS). Conclusions: Compared with muscle composition parameters (LSMI and LSMD), muscle function parameters (LHGS and LGS) are better predictors of post-operative complications and overall survival, which should be considered as the principal determinant in the sarcopenia definition. The definition of sarcopenia consists of muscle function (LHGS or LGS) and muscle composition (LSMI or LSMD) separately, which is better than the combination of the two muscle function parameters (LHGS plus LGS) or two muscle composition parameters (LSMI plus LSMD).

Sarcopenia is a predictive factor of poor quality of life and prognosis in patients after radical gastrectomy.

BACKGROUND: Patients with gastric cancer often suffer from generalized and progressive reduction of skeletal muscle mass and strength, which negatively affects the quality of life (QOL). In this study, we explored the impact of sarcopenia on QOL and overall survival (OS). METHODS: From December 2015 to June 2017, 135 patients underwent radical gastrectomy at the First Affiliated Hospital of Wenzhou Medical University. Based on the diagnostic criteria of the Asian Working Group for Sarcopenia (AWGS), data including handgrip strength, 6-m gait speed and muscle mass were collected and analyzed. EORTC QLQ-C30 and EORTC QLQ-STO22 were used to evaluate the QOL before surgery, 1, 3 and 6 months after surgery. RESULTS: A total of 27 out of the 135 patients (20.00%) were diagnosed with sarcopenia. Compared with non-sarcopenia group, patients in sarcopenia group had a higher incidence of postoperative complications (14.80% vs. 40.70%, p = 0.003), and more hospitalization costs (p = 0.029). The scores of eating restriction (p = 0.026), anxiety (p = 0.045) and body image (p = 0.046) were significantly higher in sarcopenia group at postoperative 6 months. Besides, sarcopenia was an independent risk factor for global health status at 6 months after operation (OR: 2.881, 95% CI: 1.110-7.475, p = 0.030) and OS (HR: 3.140, 95% CI: 1.255-7.855, p = 0.014). Other factors, including tumor stage III and the postoperative complications, had negative influences on OS. CONCLUSION: Sarcopenia is a predictive factor of poor QOL and prognosis in patients with gastric cancer.

Feasibility of substituting handgrip strength for muscle mass as a constituent standard in the Global Leadership Initiative on Malnutrition for diagnosing malnutrition in patients with gastrointestinal cancers.

OBJECTIVES: The aim of this study was to determine the feasibility of substituting handgrip strength (HGS) for muscle mass as a constituent in the Global Leadership Initiative on Malnutrition (GLIM) to diagnose malnourished patients with gastrointestinal (GI) cancer. METHODS: The study included 2209 patients diagnosed with GI cancer from two centers. All patients were evaluated for nutritional risk using Nutritional Risk Screening 2002 within 24 h of admission. The GLIM consensus was then used to diagnose malnourished patients. The evaluation of muscle mass as one of the constituents contained in the GLIM consensus was measured by computed tomography presented as skeletal muscle mass index (SMI) and HGS, respectively. Consistency test was carried out to evaluate the diagnostic value of SMI and HGS. RESULTS: There were 1042 (47.2%) cases of gastric cancer and 1167 (52.8%) cases of colorectal cancer. Among these cases were 768 patients (34.8%) at nutritional risk. Furthermore, 603 (27.3%) and 593 patients (26.8%) were diagnosed with malnutrition in the GLIM (SMI) group and the GLIM (HGS) group, respectively, and 544 (24.6%) patients in the two groups overlapped. The consistency test results showed that the κ value in the GLIM (HGS) group compared with the GLIM (SMI) group was 0.881 (P < 0.001) in patients with gastric cancer and 0.872 (P < 0.001) in those with colorectal cancer. CONCLUSION: HGS can be a substitute for muscle mass as a constituent in the diagnostic criteria of GLIM in patients with GI cancer.