Assessment of sarcopenia in patients with upper gastrointestinal tumors: Prevalence and agreement between computed tomography and dual-energy x-ray absorptiometry

Sarcopenia and sarcopenic obesity among older adults in the nordic countries: a scoping review

BACKGROUND

Sarcopenia and sarcopenic obesity (SO) are age-related syndromes that may compromise physical and mental health among older adults. The Nordic countries differ from other regions on prevalence of disease, life-style behavior, and life expectancy, which may impact prevalence of sarcopenia and SO. Therefore, the aim of this study is to review the available evidence and gaps within this field in the Nordic countries.

METHODS

PubMed, Embase, and Web of science (WOS) were searched up to February 2023. In addition, grey literature and reference lists of included studies were searched. Two independent researcher assessed papers and extracted data.

RESULTS

Thirty-three studies out of 6,363 searched studies were included in this scoping review. Overall prevalence of sarcopenia varied from 0.9 to 58.5%. A wide prevalence range was still present for community-dwelling older adults when definition criteria and setting were considered. The prevalence of SO ranged from 4 to 11%, according to the only study on this field. Based on the included studies, potential risk factors for sarcopenia include malnutrition, low physical activity, specific diseases (e.g., diabetes), inflammation, polypharmacy, and aging, whereas increased levels of physical activity and improved dietary intake may reduce the risk of sarcopenia. The few available interventions for sarcopenia were mainly focused on resistance training with/without nutritional supplements (e.g., protein, vitamin D).

CONCLUSION

The findings of our study revealed inadequate research on SO but an increasing trend in the number of studies on sarcopenia. However, most of the included studies had descriptive cross-sectional design, small sample size, and applied different diagnostic criteria. Therefore, larger well-designed cohort studies that adhere to uniform recent guidelines are required to capture a full picture of these two age-related medical conditions in Nordic countries, and plan for prevention/treatment accordingly.

Applicability of the CT Radiomics of Skeletal Muscle and Machine Learning for the Detection of Sarcopenia and Prognostic Assessment of Disease Progression in Patients with Gastric and Esophageal Tumors

PURPOSE

Sarcopenia is considered a negative prognostic factor in patients with malignant tumors. Among other diagnostic options, computed tomography (CT), which is repeatedly performed on tumor patients, can be of further benefit. The present study aims to establish a framework for classifying the impact of sarcopenia on the prognosis of patients diagnosed with esophageal or gastric cancer. Additionally, it explores the significance of CT radiomics in both diagnostic and prognostic methodologies.

MATERIALS AND METHODS

CT scans of 83 patients with esophageal or gastric cancer taken at the time of diagnosis and during a follow-up period of one year were evaluated retrospectively. A total of 330 CT scans were analyzed. Seventy three of these patients received operative tumor resection after neoadjuvant chemotherapy, and 74% of the patients were male. The mean age was 64 years (31-83 years). Three time points (t) were defined as a basis for the statistical analysis in order to structure the course of the disease: t1 = initial diagnosis, t2 = following (neoadjuvant) chemotherapy and t3 = end of the first year after surgery in the "surgery" group or end of the first year after chemotherapy. Sarcopenia was determined using the psoas muscle index (PMI). The additional analysis included the analysis of selected radiomic features of the psoas major, quadratus lumborum, and erector spinae muscles at the L3 level. Disease progression was monitored according to the response evaluation criteria in solid tumors (RECIST 1.1). CT scans and radiomics were used to assess the likelihood of tumor progression and their correlation to sarcopenia. For machine learning, the established algorithms decision tree (DT), K-nearest neighbor (KNN), and random forest (RF) were applied. To evaluate the performance of each model, a 10-fold cross-validation as well as a calculation of Accuracy and Area Under the Curve (AUC) was used.

RESULTS

During the observation period of the study, there was a significant decrease in PMI. This was most evident in patients with surgical therapy in the comparison between diagnosis and after both neoadjuvant therapy and surgery (each p < 0.001). Tumor progression (PD) was not observed significantly more often in the patients with sarcopenia compared to those without sarcopenia at any time point (p = 0.277 to p = 0.465). On average, PD occurred after 271.69 ± 104.20 days. The time from initial diagnosis to PD in patients "with sarcopenia" was not significantly shorter than in patients "without sarcopenia" at any of the time points (p = 0.521 to p = 0.817). The CT radiomics of skeletal muscle could predict both sarcopenia and tumor progression, with the best results for the psoas major muscle using the RF algorithm. For the detection of sarcopenia, the Accuracy was 0.90 ± 0.03 and AUC was 0.96 ± 0.02. For the prediction of PD, the Accuracy was 0.88 ± 0.04 and the AUC was 0.93 ± 0.04.

CONCLUSIONS

In the present study, the CT radiomics of skeletal muscle together with machine learning correlated with the presence of sarcopenia, and this can additionally assist in predicting disease progression. These features can be classified as promising alternatives to conventional methods, with great potential for further research and future clinical application. However, when sarcopenia was diagnosed with PMI, no significant correlation between sarcopenia and PD could be observed.

The impact of sarcopenia on nutritional status in elderly patients with gastrointestinal tumors

This study aimed to analyze the impact of sarcopenia on nutritional status in elderly patients with gastrointestinal tumors. We conducted a study of 146 elderly patients with gastrointestinal tumors in our hospital from January 2020 to June 2022. Patients enrolled were divided into normal nutritional status group (80 patients) and high nutritional risk group (66 patients) according to their nutritional status. The clinical information and nutritional status of the two groups were compared and analyzed. Multivariate logistic regression was done to analyze the risk factors of nutritional status in elderly patients with gastrointestinal tumors; and receiver operating characteristic (ROC) curve was used to evaluate the predictive value of sarcopenia on nutritional status in elderly patients with gastrointestinal tumors. Malnutrition was present in 66 (45.21%) of 146 elderly patients with gastrointestinal cancer. There was no significant difference in gender, age, and tumor location between the two groups (P > 0.05). However, statistically significant difference was observed between the two groups in terms of BMI, tumor staging, calf circumference, the third lumbar vertebra skeletal muscle index (L3-SMI), muscle strength, 6 m walking speed, short physical performance battery (SPPB) score, PG-SGA score, and sarcopenia (p < 0.05). The independent variables were set as BMI (≤ 21.27 kg/cm²), tumor staging (stage II to III), calf circumference (male: ≤ 30.01 cm, female: ≤ 29.37 cm), L3-SMI (male: ≤ 41.29 cm²/m², female: ≤ 34.29 cm²/m²), muscle strength (male: ≤ 22.32 kg, female: ≤ 16.39 kg), 6 m walking speed (≤ 0.89 m/s), SPPB score (≤ 8.67 points), PG-SGA score (> 3 points), and sarcopenia. The dependent variable was malnutrition in elderly patients with gastrointestinal tumors. A univariate logistic regression analysis was conducted, showing that the influencing factors for malnutrition in elderly patients with gastrointestinal tumors were L3-SMI (male: ≤ 41.29 cm²/m²; female: ≤ 34.29 cm²/m²), muscle strength (male: ≤ 22.32 kg; female: ≤ 16.39 kg), BMI (≤ 21.27 kg/cm²), SPPB score (≤ 8.67 points), PG-SGA score (> 3 points) and sarcopenia. Moreover, the independent variables were set as L3-SMI (male: ≤ 41.29 cm²/m²; female: ≤ 34.29 cm²/m²), muscle strength (male: ≤ 22.32 kg; female: ≤ 16.39 kg), BMI (≤ 21.27 kg/cm²), SPPB score (≤ 8.67 points), PG-SGA score (> 3 points), and sarcopenia. The dependent variable was malnutrition in elderly patients with gastrointestinal tumors. The multivariate logistic regression analysis revealed that the influencing factors of malnutrition in elderly patients with gastrointestinal tumors were BMI (≤ 21.27 kg/cm²) and sarcopenia. The ROC curve of BMI (≤ 21.27 kg/cm²) and sarcopenia, and the area under the curve (AUC) of BMI (≤ 21.27 kg/cm²) and sarcopenia predicting malnutrition in elderly gastrointestinal cancer patients were 0.681 and 0.881, respectively. The influencing factors of malnutrition in elderly patients with gastrointestinal tumors were BMI (≤ 21.27 kg/cm²) and sarcopenia, and the two factors may exert predictive value in terms of the occurrence of malnutrition in such patients.

Sarcopenia of kidney transplant recipients as a predictive marker for reduced graft function and graft survival after kidney transplantation

PURPOSE

The association between sarcopenia of kidney transplant recipients and outcome after kidney transplantation (KT) has not yet been fully understood and is still considered controversial. The aim of our study was to analyze the impact of pre-transplant sarcopenia on graft function, postoperative complication rates, and survival of the patients after renal transplantation.

METHODS

In this retrospective single-center study, all patients who underwent KT (01/2013-12/2017) were included. Demographic data, rejection rates, delayed graft function, and graft and patient survival rates were analyzed. Sarcopenia was measured in computed tomography images by the sex-adjusted Hounsfield unit average calculation (HUAC).

RESULTS

During the study period, 111 single KTs (38 women and 73 men) were performed. Living donor kidney transplants were performed in 48.6%. In total, 32.4% patients had sarcopenia. Sarcopenic patients were significantly older (59.6 years vs. 49.8 years; p < 0.001), had a higher body mass index (BMI = 27.6 kg/m2 vs. 25.0 kg/m2; p = 0.002), and were more likely to receive deceased donor kidneys (72.2% vs. 41.3%; p = 0.002). Interestingly, 3 years after KT, the creatinine serum levels were significantly higher (2.0 mg/dl vs. 1.5 mg/dl; p = 0.001), whereas eGFR (39.9 ml/min vs. 53.4 ml/min; p = 0.001) and graft survival were significantly lower (p = 0.004) in sarcopenic transplant recipients. Sarcopenic patients stayed in hospital significantly longer postoperatively than those who were non-sarcopenic.

CONCLUSIONS

At the time of kidney transplantation, sarcopenia was found to predict reduced long-term graft function and diminished graft survival after KT. The early identification of sarcopenic patients can not only enable an optimized selection of recipients, but also the initiation of pre-habilitation programs during the waiting period.

Sarcopenia and loss of muscle mass in patients with lung cancer undergoing chemotherapy treatment: a systematic review and meta-analysis

BACKGROUND

In patients with cancer, sarcopenia is associated with treatment related complications, treatment cessation, poor quality of life and reduced overall survival. Despite this, there is limited knowledge about changes in skeletal muscle mass during chemotherapy. The aim of this systematic review and meta-analysis was to investigate the change of skeletal muscle mass and sarcopenia during chemotherapy treatment among patients with lung cancer.

METHODS

A systematic literature search was conducted in three databases, PubMed, EMBASE and Web of Science. Observational studies with patients with lung cancer were eligible for inclusion if skeletal muscle mass was measured before and after receiving chemotherapy treatment.

RESULTS

Ten cohort studies with a total of 867 participants met the inclusion criteria. During 5.2 ± 2.9 months of chemotherapy treatment, patients with lung cancer experienced a significant loss of skeletal muscle mass with a standardized mean difference (SMD) of: -0.25 (95% CI -0.47 to -0.03). The pretreatment prevalence of sarcopenia varied across studies from 35% to 74%. Only one study reported prevalence of sarcopenia both before and after chemotherapy treatment with an increase from 35% to 59%.

CONCLUSION

The present data demonstrate a marked loss of skeletal muscle mass in patients with lung cancer undergoing chemotherapy treatment, as well as a high prevalence of sarcopenia. As sarcopenia is associated with poor clinical outcomes, it seems important to include and use assessments of skeletal muscle mass in clinical practice to identify patients in need for interventions. Moreover, interventional studies to hinder development of sarcopenia are needed.

Considerations for designing trials targeting muscle dysfunction in exercise oncology

Individuals diagnosed with cancer commonly experience a significant decline in muscle mass and physical function collectively referred to as cancer related muscle dysfunction. This is concerning because impairments in functional capacity are associated with an increased risk for the development of disability and subsequent mortality. Notably, exercise offers a potential intervention to combat cancer related muscle dysfunction. Despite this, research is limited on the efficacy of exercise when implemented in such a population. Thus, the purpose of this mini review is to offer critical considerations for researchers seeking to design studies pertaining to cancer related muscle dysfunction. Namely, 1) defining the condition of interest, 2) determining the most appropriate outcome and methods of assessment, 3) establishing the best timepoint (along the cancer continuum) to intervene, and 4) understanding how exercise prescription can be configured to optimize outcomes.

Sarcopenia - Definition, Radiological Diagnosis, Clinical Significance

BACKGROUND

 Sarcopenia is an age-related syndrome characterized by a loss of muscle mass and strength. As a result, the independence of the elderly is reduced and the hospitalization rate and mortality increase. The onset of sarcopenia often begins in middle age due to an unbalanced diet or malnutrition in association with a lack of physical activity. This effect is intensified by concomitant diseases such as obesity or metabolic diseases including diabetes mellitus.

METHOD

 With effective preventative diagnostic procedures and specific therapeutic treatment of sarcopenia, the negative effects on the individual can be reduced and the negative impact on health as well as socioeconomic effects can be prevented. Various diagnostic options are available for this purpose. In addition to basic clinical methods such as measuring muscle strength, sarcopenia can also be detected using imaging techniques like dual X-ray absorptiometry (DXA), computed tomography (CT), magnetic resonance imaging (MRI), and sonography. DXA, as a simple and cost-effective method, offers a low-dose option for assessing body composition. With cross-sectional imaging techniques such as CT and MRI, further diagnostic possibilities are available, including MR spectroscopy (MRS) for noninvasive molecular analysis of muscle tissue. CT can also be used in the context of examinations performed for other indications to acquire additional parameters of the skeletal muscles (opportunistic secondary use of CT data), such as abdominal muscle mass (total abdominal muscle area - TAMA) or the psoas as well as the pectoralis muscle index. The importance of sarcopenia is already well studied for patients with various tumor entities and also infections such as SARS-COV2.

RESULTS AND CONCLUSION

 Sarcopenia will become increasingly important, not least due to demographic changes in the population. In this review, the possibilities for the diagnosis of sarcopenia, the clinical significance, and therapeutic options are described. In particular, CT examinations, which are repeatedly performed on tumor patients, can be used for diagnostics. This opportunistic use can be supported by the use of artificial intelligence.

KEY POINTS

· Sarcopenia is an age-related syndrome with loss of muscle mass and strength.. · Early detection and therapy can prevent negative effects of sarcopenia.. · In addition to DEXA, cross-sectional imaging techniques (CT, MRI) are available for diagnostic purposes.. · The use of artificial intelligence (AI) offers further possibilities in sarcopenia diagnostics..

CITATION FORMAT

· Vogele D, Otto S, Sollmann N et al. Sarcopenia - Definition, Radiological Diagnosis, Clinical Significance. Fortschr Röntgenstr 2023; DOI: 10.1055/a-1990-0201.

The prevalence of sarcopenia and cachexia in older patients with localized colorectal cancer

INTRODUCTION

The incidence of colorectal cancer (CRC) increases with age. In combination with an ageing population, the number of older patients undergoing surgical treatment for CRC is therefore expected to increase. Sarcopenia and cachexia are potentially modifiable risk factors of a negative surgical outcome. Sarcopenia can be categorized into primary (age-related) and secondary where diseases, such as malignancy, are influential factors. We aimed to investigate the prevalence of preoperative sarcopenia and cachexia in older (≥65 years) vulnerable patients with localized CRC.

MATERIALS AND METHODS

Patients included in the randomized study "Geriatric assessment and intervention in older vulnerable patients undergoing resection for colorectal cancer," were screened for sarcopenia and cachexia prior to surgery. All patients in the present cohort were considered vulnerable with Geriatric 8 ≤ 14 points. Sarcopenia was defined according to European Guidelines (EWGSOP2), based on low muscle strength-low handgrip-strength and/or slow 5xChair-Stand-Test-and low appendicular lean mass assessed by dual-energy X-ray absorptiometry. Cachexia was defined as self-reported unintended weight loss >5% within three months or 2-5% with body mass index <20 kg/m².

RESULTS

Sixty-four patients (mean age 79.6 years ±6.4 years, 36 women) were assessed. Of these, 28% (n = 18, 11 women) had low muscle strength and 13% (n = 8, 4 women) fulfilled the criteria for sarcopenia, however, 33% (n = 21, 13 women) had low muscle mass. There was no correlation between low muscle strength and low muscle mass (r = 0.16, P = 0.22). The prevalence of cachexia was 36% (n = 23, 16 women). Low muscle mass was associated with cachexia (φ = 0.38, P = 0.005), but there was no association between sarcopenia and cachexia (φ = 0.01, P = 1.0).

DISCUSSION

Despite the included patients who fulfilled the criteria for vulnerability according to G8, relatively few (28%) had low muscle strength. Moreover, there was poor overlap between the prevalence of sarcopenia according to the EWGSOP2 guidelines (13%) and prevalence of low muscle mass (33%) in older patients with CRC. Of note also, there was no association between sarcopenia and cachexia, but an association between cachexia and low muscle mass, which highlights the importance of assessing muscle mass in patients with cancer.

TRIAL REGISTRATION

The GEPOC trial has been prospectively registered at http://clinicaltrials.gov (NCT03719573).

Muscle mass and physical function in patients with bladder cancer-Data from a prematurely terminated prospective cohort study

Background

Patients with bladder cancer (BC) have a high prevalence of comorbidity and low adherence to systemic anticancer treatment but it is unknown whether this is associated with sarcopenia.

Objective

We aimed to investigate if the sarcopenia-defining parameters (muscle strength, muscle mass and physical performance) were associated with reduced adherence to systemic anticancer treatment in patients with BC, and if these muscle domains changed during treatment.

Methods

Patients >18 years of age with BC referred for chemotherapy or immunotherapy at Department of Oncology, Rigshospitalet, Denmark were eligible for study inclusion. Measurements were performed before treatment initiation and within one week after treatment termination, and consisted of assessments of muscle strength, muscle mass, and physical performance. Data was compared with thresholds outlined by the European Working Group on Sarcopenia in Older Patient's (EWGSOP2) guidelines and a healthy, age-matched Danish cohort.

Results

Over a period of 29 months, we included 14 patients of whom two completed follow-up measurements. The recruitment rate was <50% of planned due to logistics and Covid-19 related limitations. Consequently, a decision to prematurely terminate the study was made. No patients fulfilled EWGSOP2 criteria for sarcopenia, but the majority had reduction in one or more muscle domains compared to healthy, age-matched individuals. The majority of patients had poor treatment tolerance, leading to dose reductions and postponed treatments.

Conclusions

In this prematurely terminated study, no patients fulfilled EWGSOP2 criteria for sarcopenia, yet, most patients were affected in one or more muscle domains and the majority had compromised treatment adherence.

Low skeletal muscle mass and post-operative complications after surgery for liver malignancies: a meta-analysis

Purpose

To assess the influence of low skeletal muscle mass (LSMM) on post-operative complications in patients with hepatic malignancies grade (Clavien Dindo ≥ 3) undergoing resection.

Methods

MEDLINE, Cochrane, and SCOPUS databases were screened for associations between sarcopenia and major post-operative complications (≥ grade 3 according to Clavien-Dindo classification) after resection of different malignant liver tumors. RevMan 5.3 software was used to perform the meta-analysis. The methodological quality of the included studies was assessed according to the QUIPS instrument.

Results

The analysis included 17 studies comprising 3157 patients. Subgroup analyses were performed for cholangiocarcinoma (CCC), colorectal cancer (CRC) liver metastases, and hepatocellular carcinoma (HCC). LSMM as identified on CT was present in 1260 patients (39.9%). Analysis of the overall sample showed that LSMM was associated with higher post-operative complications grade Clavien Dindo ≥ 3 (OR 1.56, 95% CI 1.25–1.95, p < 0.001). In the subgroup analysis, LSMM was associated with post-operative complications in CRC metastases (OR 1.60, 95% CI 1.11–2.32, p = 0.01). In HCC and CCC sub-analyses, LSMM was not associated with post-operative complications in simple regression analysis.

Conclusion

LSMM is associated with major post-operative complications in patients undergoing surgery for hepatic metastases and it does not influence major post-operative complications in patients with HCC and CCC.

Preoperative computed tomography-assessed sarcopenia as a predictor of complications and long-term prognosis in patients with colorectal cancer: a systematic review and meta-analysis

BACKGROUND

The relationship between computed tomography (CT)-assessed sarcopenia and colorectal cancer (CRC) prognosis varies in different studies. This systematic review aimed to examine the impact of preoperative CT-assessed sarcopenia on complications and long-term survival in CRC patients.

METHODS

The PubMed, Web of Science, Cochrane Library, and Embase databases were searched for relevant literature up to September 10, 2020. Data and characteristics for each study were extracted. Long-term outcomes were assessed using a comprehensive HR with a 95% CI. Complications were assessed using a comprehensive OR with 95% CI. The heterogeneity and publication bias were also investigated, and subgroup and sensitivity analyses were performed.

RESULTS

A total of 19 studies comprising 15,889 patients were included. The comprehensive results demonstrated that sarcopenia is significantly associated with overall survival of CRC patients (HR = 1.40, 95% CI = 1.25-1.58, p < 0.001). Patients with sarcopenia have a higher risk of complications compared to those without sarcopenia. In addition, sarcopenia is strongly associated with poor cancer-specific survival (HR = 1.49, 95% CI = 1.32-1.68, p < 0.001) and disease-free survival (HR = 1.59, 95% CI = 1.32-1.92, p < 0.001) in CRC patients. There is no significant relationship between sarcopenia and recurrence-free survival (HR = 1.32, 95% CI = 0.92-1.89, p = 0.126).

CONCLUSIONS

Preoperative CT-assessed sarcopenia can be employed as an effective predictor of complications and long-term prognosis in CRC patients. Standardization of CT-assessed sarcopenia requires comprehensive consideration of race, muscle mass index, body mass index, and gender.