CT Body Composition of Sarcopenia and Sarcopenic Obesity: Predictors of Postoperative Complications and Survival in Patients with Locally Advanced Esophageal Adenocarcinoma

Assessment of sarcopenic obesity as a predictor of pneumonia in patients with stable schizophrenia-A prospective study

OBJECTIVE

The European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Association for the Study of Obesity (EASO) recently released the first international consensus on the diagnostic criteria for Sarcopenic obesity (SO). The present study aimed to explore the ability of SO to predict the risk of pneumonia in patients with stable schizophrenia.

METHODS

This was a prospective study involving hospitalized patients with schizophrenia aged ≥50 years from two mental health centers in western China. Baseline patient data were collected from September 1 to September 30, 2020. Follow-up data on pneumonia were collected from October 2020 to October 2022. The diagnosis of SO was based on the ESPEN/EASO criteria. Patients were assessed for handgrip strength (HGS), skeletal muscle mass/weight (SMM/W), and fat mass percentage (FM%). Logistic regression analysis was used to explore the effect of SO on the risk of pneumonia in patients with stable schizophrenia.

RESULTS

A total of 320 patients with stable schizophrenia were included. Of these, 74 (23.13%) were diagnosed with SO, while 117 (36.56%) developed pneumonia. Compared with patients in the non-low HGS, non-low HGS + non-low SMM/W (or non-low HGS + low SMM/W or low HGS + non-low SMM/W) and non-SO groups, the proportions of patients with pneumonia in the low HGS (42.3% vs. 25.9%, p = 0.004), low HGS + low SMM/W (45.3% vs. 33.3%, p = 0.048), and SO (47.3% vs. 33.3%, p = 0.029) groups, respectively, were higher. However, there was no difference in the proportion of patients with pneumonia in the low SMM/W group and the obese group compared with the non-low SMM/W and non-obese groups. Further logistic regression analysis after adjustment for potential influencing factors showed that compared with the non-low HGS group, patients in the low HGS group had a higher risk of pneumonia (OR = 1.892, 95%CI: 1.096-3.264).

CONCLUSION

SO defined according to the ESPEN/EASO criteria was not found to be significantly associated with the development of pneumonia in patients with stable schizophrenia. Further verification of these results is needed with larger sample sizes and the establishment of a cutoff value for this population.

Artificial intelligence-based analysis of body composition predicts outcome in patients receiving long-term mechanical circulatory support

BACKGROUND

Obesity is a known cardiovascular risk factor and associated with higher postoperative complication rates in patients undergoing cardiac surgery. In heart failure (HF), conflicting evidence in terms of survival has been reported, whereas sarcopenia is associated with poor prognosis. An increasing number of HF patients require left ventricular assist device (LVAD) implantations. The postoperative mortality has improved in recent years but is still relatively high. The impact of body composition on outcome in this population remains unclear. The aim of this investigation was to examine the preoperative computed tomography (CT) body composition as a predictor of the postoperative outcome in advanced HF patients, who receive LVAD implantations.

METHODS

Preoperative CT scans of 137 patients who received LVADs between 2015 and 2020 were retrospectively analysed using an artificial intelligence (AI)-powered automated software tool based on a convolutional neural network, U-net, developed for image segmentation (Visage Version 7.1, Visage Imaging GmbH, Berlin, Germany). Assessment of body composition included visceral and subcutaneous adipose tissue areas (VAT and SAT), psoas and total abdominal muscle areas and sarcopenia (defined by lumbar skeletal muscle indexes). The body composition parameters were correlated with postoperative major complication rates, survival and postoperative 6-min walk distance (6MWD) and quality of life (QoL).

RESULTS

The mean age of patients was 58.21 ± 11.9 years; 122 (89.1%) were male. Most patients had severe HF requiring inotropes (Interagency Registry for Mechanically Assisted Circulatory Support [INTERMACS] profile I-III, 71.9%) secondary to coronary artery diseases or dilated cardiomyopathy (96.4%). Forty-four (32.1%) patients were obese (body mass index ≥ 30 kg/m2 ), 96 (70.1%) were sarcopene and 19 (13.9%) were sarcopene obese. Adipose tissue was associated with a significantly higher risk of postoperative infections (VAT 172.23 cm2 [54.96, 288.32 cm2 ] vs. 124.04 cm2 [56.57, 186.25 cm2 ], P = 0.022) and in-hospital mortality (VAT 168.11 cm2 [134.19, 285.27 cm2 ] vs. 135.42 cm2 [49.44, 227.91 cm2 ], P = 0.033; SAT 227.28 cm2 [139.38, 304.35 cm2 ] vs. 173.81 cm2 [97.65, 254.16 cm2 ], P = 0.009). Obese patients showed no improvement of 6MWD and QoL within 6 months postoperatively (obese: +0.94 ± 161.44 months, P = 0.982; non-obese: +166.90 ± 139.00 months, P < 0.000; obese: +0.088 ± 0.421, P = 0.376; non-obese: +0.199 ± 0.324, P = 0.002, respectively). Sarcopenia did not influence the postoperative outcome and survival within 1 year after LVAD implantation.

CONCLUSIONS

Preoperative AI-based CT body composition identifies patients with poor outcome after LVAD implantation. Greater adipose tissue areas are associated with an increased risk for postoperative infections, in-hospital mortality and impaired 6MWD and QoL within 6 months postoperatively.

Correlation between sarcopenia and esophageal cancer: a narrative review

BACKGROUND

In recent years, the research on the relationship between sarcopenia before and after the treatment of esophageal cancer, as well as its impact on prognosis of esophageal cancer, has increased rapidly, which has aroused people's attention to the disease of patients with esophageal cancer complicated with sarcopenia. This review examines the prevalence of sarcopenia in patients with esophageal cancer, as well as the relationship between sarcopenia (before and after surgery or chemotherapy) and prognosis in patients with esophageal cancer. Moreover, we summarized the potential pathogenesis of sarcopenia and pharmacologic and non-pharmacologic therapies.

METHODS

A narrative review was performed in PubMed and Web of Science using the keywords ("esophageal cancer" or "esophageal neoplasm" or "neoplasm, esophageal" or "esophagus neoplasm" or "esophagus neoplasms" or "neoplasm, esophagus" or "neoplasms, esophagus" or "neoplasms, esophageal" or "cancer of esophagus" or "cancer of the esophagus" or "esophagus cancer" or "cancer, esophagus" or "cancers, esophagus" or "esophagus cancers" or "esophageal cancer" or "cancer, esophageal" or "cancers, esophageal" or "esophageal cancers") and ("sarcopenia" or "muscular atrophy" or "aging" or "senescence" or "biological aging" or "aging, biological" or "atrophies, muscular" or "atrophy, muscular" or "muscular atrophies" or "atrophy, muscle" or "atrophies, muscle" or "muscle atrophies"). Studies reporting relationship between sarcopenia and esophageal cancer were analyzed.

RESULTS

The results of the review suggest that the average prevalence of sarcopenia in esophageal cancer was 46.3% ± 19.6% ranging from 14.4 to 81% and sarcopenia can be an important predictor of poor prognosis in patients with esophageal cancer. Patients with esophageal cancer can suffer from sarcopenia due to their nutritional deficiencies, reduced physical activity, chemotherapy, and the effects of certain inflammatory factors and pathways. When classic diagnostic values for sarcopenia such as skeletal muscle index (SMI) are not available clinically, it is also feasible to predict esophageal cancer prognosis using simpler metrics, such as calf circumference (CC), five-count sit-up test (5-CST), and six-minute walk distance (6MWD).

CONCLUSIONS

Identifying the potential mechanism of sarcopenia in patients with esophageal cancer and implementing appropriate interventions may hold the key to improving the prognosis of these patients.

Impact of sarcopenia on outcomes in surgical patients: a systematic review and meta-analysis

BACKGROUND

Surgeons have historically used age as a preoperative predictor of postoperative outcomes. Sarcopenia, the loss of skeletal muscle mass due to disease or biological age, has been proposed as a more accurate risk predictor. The prognostic value of sarcopenia assessment in surgical patients remains poorly understood. Therefore, the authors aimed to synthesize the available literature and investigate the impact of sarcopenia on perioperative and postoperative outcomes across all surgical specialties.

METHODS

The authors systematically assessed the prognostic value of sarcopenia on postoperative outcomes by conducting a systematic review and meta-analysis according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, searching the PubMed/MEDLINE and EMBASE databases from inception to 1st October 2022. Their primary outcomes were complication occurrence, mortality, length of operation and hospital stay, discharge to home, and postdischarge survival rate at 1, 3, and 5 years. Subgroup analysis was performed by stratifying complications according to the Clavien-Dindo classification system. Sensitivity analysis was performed by focusing on studies with an oncological, cardiovascular, emergency, or transplant surgery population and on those of higher quality or prospective study design.

RESULTS

A total of 294 studies comprising 97 643 patients, of which 33 070 had sarcopenia, were included in our analysis. Sarcopenia was associated with significantly poorer postoperative outcomes, including greater mortality, complication occurrence, length of hospital stay, and lower rates of discharge to home (all P <0.00001). A significantly lower survival rate in patients with sarcopenia was noted at 1, 3, and 5 years (all P <0.00001) after surgery. Subgroup analysis confirmed higher rates of complications and mortality in oncological (both P <0.00001), cardiovascular (both P <0.00001), and emergency ( P =0.03 and P =0.04, respectively) patients with sarcopenia. In the transplant surgery cohort, mortality was significantly higher in patients with sarcopenia ( P <0.00001). Among all patients undergoing surgery for inflammatory bowel disease, the frequency of complications was significantly increased among sarcopenic patients ( P =0.007). Sensitivity analysis based on higher quality studies and prospective studies showed that sarcopenia remained a significant predictor of mortality and complication occurrence (all P <0.00001).

CONCLUSION

Sarcopenia is a significant predictor of poorer outcomes in surgical patients. Preoperative assessment of sarcopenia can help surgeons identify patients at risk, critically balance eligibility, and refine perioperative management. Large-scale studies are required to further validate the importance of sarcopenia as a prognostic indicator of perioperative risk, especially in surgical subspecialties.

Computed Tomography-Defined Body Composition as Prognostic Parameter in Acute Mesenteric Ischemia

INTRODUCTION

Body composition comprising low-skeletal muscle mass (LSMM) and subcutaneous and visceral adipose tissue (SAT and VAT) can be assessed by using cross-sectional imaging modalities. Previous analyses suggest that these parameters harbor prognostic relevance in various diseases. Aim of this study was to analyze possible associations of body composition parameters on mortality in patients with clinically suspected acute mesenteric ischemia (AMI).

METHODS

All patients with clinically suspected AMI were retrospectively assessed between 2016 and 2020. Overall, 137 patients (52 female patients, 37.9%) with a median age of 71 years were included in the present analysis. For all patients, the preoperative abdominal computed tomography (CT) was used to calculate LSMM, VAT, and SAT.

RESULTS

Overall, 94 patients (68.6%) of the patient cohort died within 30 days within a median of 2 days, range 1-39 days. Of these, 27 patients (19.7%) died within 24 h. According to the CT, 101 patients (73.7%) were classified as being visceral obese, 102 patients (74.5%) as being sarcopenic, and 69 patients (50.4%) as being sarcopenic obese. Skeletal muscle index (SMI) was lower in non-survivors compared to survivors (37.5 ± 12.4 cm2/m2 vs. 44.1 ± 13.9 cm2/m2, p = 0.01). There were no associations between body composition parameters with mortality in days (SMI r = 0.07, p = 0.48, SAT r = -0.03, p = 0.77, and VAT r = 0.04, p = 0.68, respectively). In Cox regression analysis, a nonsignificant trend for visceral obesity was observed (HR: 0.62, 95% CI: 0.36-1.05, p = 0.07).

CONCLUSION

SMI might be a valuable CT-based parameter, which could help discriminate between survivors and non-survivors. Further studies are needed to elucidate the associations between body composition and survival in patients with AMI.

Is the measurement of sarcopenia associated with oncological disease in patients undergoing cytoreductive surgery and hyperthermic intraperitoneal chemotherapy?

BACKGROUND

Peritoneal malignancies are challenging cancers to manage. While cytoreductive surgery and hyperthermic intraperitoneal chemotherapy (CRS and HIPEC), may offer a cure, it is a radical procedure associated with significant morbidity. Pre-emptive identification of deconditioned patients for optimization may mitigate surgical risk. However, the difficulty lies in identifying a cost-effective predictive tool. Recently, there has been interest in sarcopenia, which may occur due to malignancy. The purpose of this study was to assess the utility of sarcopenia at predicting post-operative outcomes.

METHODS

A quaternary-centre retrospective study of CRS and HIPEC patients (2017-2020), were conducted to determine the association between pre-operative sarcopenia on oncological (peritoneal carcinomatosis index (PCI)) and surgical outcomes (complications). Sarcopenia from lumbar CT-images were measured using Slice-o-matic™. Statistical differences were analysed using Mann-Whitney U and Chi-squared test.

RESULTS

Cohort analysis (n = 94) found 40% had sarcopenia, majority were female (53.2%), and average age of 55 years. The major pathologies was colorectal cancer (n = 39, 41.5%), appendix adenocarcinoma (n = 21, 22.3%), and pseudomyxoma peritonei (PMP) (n = 19, 20.2%). Sarcopenia was associated with decreased weight, 72.7 versus 82.2 kg (P = 0.014) and shorter survival, 1.4 versus 2.1 years (95% CI, 1.09-3.05, P = 0.032). Median PCI (excluding PMP) was 11 (6-18) and median PCI (only PMP) was 25 (11-32). Post-operatively, sarcopenia patients experienced more complications (72.5% vs. 64.8%, P = 0.001).

CONCLUSION

Pre-emptive identification of sarcopenia may be a useful prognostic indicator and predictor of post-operative outcomes in CRS and HIPEC. For oncological patients, sarcopenia may be an indicator of patients requiring targeted pre-operative rehabilitation, or advanced disease requiring further treatment.

The impact of sarcopenia on esophagectomy for cancer: a systematic review and meta-analysis

BACKGROUND

Esophagectomy is the gold-standard treatment for locally advanced esophageal cancer but has high morbimortality rates. Sarcopenia is a common comorbidity in cancer patients. The exact burden of sarcopenia in esophagectomy outcomes remains unclear. Therefore, this systematic review and meta-analysis were performed to establish the impact of sarcopenia on postoperative outcomes of esophagectomy for cancer.

METHODS

We performed a systematic review and meta-analysis comparing sarcopenic with non-sarcopenic patients before esophagectomy for cancer (Registration number: CRD42021270332). An electronic search was conducted on Embase, PubMed, Cochrane, and LILACS, alongside a manual search of the references. The inclusion criteria were cohorts, case series, and clinical trials; adult patients; studies evaluating patients with sarcopenia undergoing esophagectomy or gastroesophagectomy for cancer; and studies that analyze relevant outcomes. The exclusion criteria were letters, editorials, congress abstracts, case reports, reviews, cross-sectional studies, patients undergoing surgery for benign conditions, and animal studies. The meta-analysis was synthesized with forest plots.

RESULTS

The meta-analysis included 40 studies. Sarcopenia was significantly associated with increased postoperative complications (RD: 0.08; 95% CI: 0.02 to 0.14), severe complications (RD: 0.11; 95% CI: 0.04 to 0.19), and pneumonia (RD: 0.13; 95% CI: 0.09 to 0.18). Patients with sarcopenia had a lower probability of survival at a 3-year follow-up (RD: -0.16; 95% CI: -0.23 to -0.10).

CONCLUSION

Preoperative sarcopenia imposes a higher risk for overall complications and severe complications. Besides, patients with sarcopenia had a lower chance of long-term survival.

Intermittent body composition analysis as monitoring tool for muscle wasting in critically ill COVID-19 patients

OBJECTIVES

SARS-CoV-2 virus infection can lead to acute respiratory distress syndrome (ARDS), which can be complicated by severe muscle wasting. Until now, data on muscle loss of critically ill COVID-19 patients are limited, while computed tomography (CT) scans for clinical follow-up are available. We sought to investigate the parameters of muscle wasting in these patients by being the first to test the clinical application of body composition analysis (BCA) as an intermittent monitoring tool.

MATERIALS

BCA was conducted on 54 patients, with a minimum of three measurements taken during hospitalization, totaling 239 assessments. Changes in psoas- (PMA) and total abdominal muscle area (TAMA) were assessed by linear mixed model analysis. PMA was calculated as relative muscle loss per day for the entire monitoring period, as well as for the interval between each consecutive scan. Cox regression was applied to analyze associations with survival. Receiver operating characteristic (ROC) analysis and Youden index were used to define a decay cut-off.

RESULTS

Intermittent BCA revealed significantly higher long-term PMA loss rates of 2.62% (vs. 1.16%, p < 0.001) and maximum muscle decay of 5.48% (vs. 3.66%, p = 0.039) per day in non-survivors. The first available decay rate did not significantly differ between survival groups but showed significant associations with survival in Cox regression (p = 0.011). In ROC analysis, PMA loss averaged over the stay had the greatest discriminatory power (AUC = 0.777) for survival. A long-term PMA decline per day of 1.84% was defined as a threshold; muscle loss beyond this cut-off proved to be a significant BCA-derived predictor of mortality.

CONCLUSION

Muscle wasting in critically ill COVID-19 patients is severe and correlates with survival. Intermittent BCA derived from clinically indicated CT scans proved to be a valuable monitoring tool, which allows identification of individuals at risk for adverse outcomes and has great potential to support critical care decision-making.

Cutoff Value of Psoas Muscle Area as Reduced Muscle Mass and Its Association with Acute Pancreatitis in China

Objective

The Global Leadership Initiative on Malnutrition (GLIM) has proposed criteria for the diagnosis of malnutrition, one of which is reduced muscle mass. Computed tomography (CT) assessment of psoas muscle area (PMA) has been used to estimate muscle mass in patients, including those with acute pancreatitis (AP). The present study aimed to define the cutoff value of PMA indicative of reduced muscle mass in patients with AP and to assess the impact of reduced muscle mass on the severity and early complications of AP.

Methods

Clinical data of 269 patients with AP were analyzed retrospectively. The severity of AP was determined according to the revised Atlanta classification. PMA was evaluated by CT and used to calculate the psoas muscle index (PMI). Cutoff values for reduced muscle mass were calculated and validated. Logistic regression analysis was performed to assess the relationship between PMA and the severity of AP.

Results

PMA was a better indicator of reduced muscle mass than PMI, with cutoff values of 11.50 cm² for men and 8.22 cm² for women. Rates of local complications, splenic vein thrombosis, and organ failure were significantly higher in AP patients with low than high PMA (all p < 0.05). PMA showed good ability to predict splenic vein thrombosis in women, with an area under the receiver operating characteristic curve of 0.848 (95% confidence interval 0.768-0.909, sensitivity 100%, specificity 83.64%). Multivariate logistic regression revealed that PMA was an independent risk factor for moderately severe plus severe AP (odds ratio 5.639, p = 0.001) and severe AP (odds ratio 3.995, p = 0.038).

Conclusion

PMA is a good predictor of the severity and complications of AP. The PMA cutoff value is a good indicator of reduced muscle mass.

Comparison of GLIM and PG-SGA for predicting clinical outcomes of patients with esophageal squamous carcinoma resection

OBJECTIVE

to determine the validity of the Global Leadership Initiative on Malnutrition (GLIM) against the Patient Generated-Subjective Global Assessment (PG-SGA) as a gold standard tool in malnutrition diagnosis, and to assess the impact of malnutrition diagnosed using GLIM and PG-SGA on the clinical outcomes of patients with esophageal squamous carcinoma (ESCC) resection.

METHODS

we prospectively analyzed 182 patients with ESCC who underwent radical esophagectomy. Preoperative malnutrition was diagnosed using GLIM and PG-SGA, and the postoperative clinical outcomes, including postoperative complications, postoperative chest tube indwelling time, length of stay and total hospitalization cost, were recorded. The association between the prevalence of malnutrition defined by the two tools and postoperative clinical outcomes was evaluated.

RESULTS

among the 182 ESCC patients, the incidence of malnutrition before surgery was 58.2 % and 48.4 % defined by PG-SGA and GLIM, respectively. GLIM and PG-SGA had good consistency in nutritional assessment of ESCC patients (k = 0.628, p < 0.001). Malnourished patients had higher TNM stages and older ages (all p < 0.05). Patients with malnutrition as assessed by PG-SGA and GLIM had a higher incidence of postoperative complications, a longer indwelling time of chest tube after esophagectomy, longer hospital length of stay, and higher hospitalization costs than patients with good nutrition (p < 0.001). Comparing the predictive efficiency of postoperative complications, the sensitivity of PG-SGA- and GLIM-defined malnutrition were 81.6 % and 79.6 %, the specificity were 50.4 % and 63.2 %, the Youden index were 0.320 and 0.428, and the Kappa value were 0.110 and 0.130, respectively. The areas under ROC curve of PG-SGA- and GLIM-defined malnutrition and postoperative complications were 0.660 and 0.714, respectively.

CONCLUSIONS

this study indicates the effectiveness of malnutrition diagnosed according to GLIM and PG-SGA in predicting postoperative clinical outcomes among patients with ESCC. Compared with PG-SGA, GLIM criteria can better predict postoperative complications of ESCC. Follow-up analysis of postoperative long-term survival is needed to explore the association between different assessment tools and postoperative long-term clinical outcomes.

Low Muscle Mass and Radiodensity Associate with Impaired Pulmonary Function and Respiratory Complications in Patients with Esophageal Cancer

BACKGROUND

Sixty percent of patients with esophageal cancer display signs of cachexia at diagnosis. Changes in body composition are common, and muscle mass and quality are measurable through imaging studies. Cachexia leads to functional impairments that complicate treatments, including surgery. We hypothesize that low muscle mass and quality associate with pulmonary function testing parameters, highlighting ventilatory deficits, and postoperative complications in patients receiving esophagectomy.

STUDY DESIGN

We performed a retrospective review of patients receiving esophagectomy between 2012 and 2021 at our facility. PET/CT scans were used to quantify skeletal muscle at the L3 and T4 levels. Patient characteristics were recorded, including pulmonary function testing parameters. Regression models were created to characterize predictive associations.

RESULTS

One hundred eight patients were identified. All were included in the final analysis. In linear regression adjusted for sex, age, and COPD status, low L3 muscle mass independently associated with low forced vital capacity (p < 0.005, β 0.354) and forced expiratory volume in 1 second (p < 0.001, β 0.392). Similarly, T4 muscle mass independently predicted forced vital capacity (p < 0.005, β 0.524) and forced expiratory volume in 1 second (p < 0.01, β 0.480). L3 muscle quality correlated with total lung capacity ( R 0.2463, p < 0.05). Twenty-six patients had pleural effusions postoperatively, associated with low muscle quality on L3 images (p < 0.05). Similarly, patients with hospitalization more than 2 weeks presented with lower muscle quality (p < 0.005).

CONCLUSIONS

Cachexia and low muscle mass are common. Reduced muscle mass and quality independently associate with impaired forced vital capacity, forced expiratory volume in 1 second, and total lung capacity. We propose that respiratory muscle atrophy occurs with weight loss. Body composition analyses may aid in stratifying patients. Pulmonary function testing may also serve as a functional endpoint for clinical trials. These findings highlight the need to study mechanisms that lead to respiratory muscle pathology and dysfunction in tumor-bearing hosts.

Weight loss during neoadjuvant therapy and short-term outcomes after esophagectomy: a retrospective cohort study

BACKGROUND

Neoadjuvant therapy (NAT) has become common worldwide for resectable advanced esophageal cancer and frequently involves weight loss. Although failure to rescue (death after major complications) is known as an emerging surgical quality measure, little is known about the impact of weight loss during NAT on failure to rescue. This retrospective study aimed to investigate the association of weight loss during NAT and short-term outcomes, including failure to rescue after esophagectomy.

MATERIALS AND METHODS

Patients who underwent esophagectomy after NAT between July 2010 and March 2019 were identified from a Japanese nationwide inpatient database. Based on quartiles of percent weight change during NAT, patients were grouped into four categories of gain, stable, small loss, and loss (>4.5%). The primary outcomes were failure to rescue and in-hospital mortality. The secondary outcomes were major complications, respiratory complications, anastomotic leakage, and total hospitalization costs. Multivariable regression analyses were used to compare outcomes between the groups, adjusting for potential confounders, including baseline BMI.

RESULTS

Among 15 159 eligible patients, in-hospital mortality and failure to rescue occurred in 302 (2.0%) and 302/5698 (5.3%) patients, respectively. Weight loss (>4.5%) compared to gain was associated with increased failure to rescue and in-hospital mortality [odds ratios 1.55 (95% CI: 1.10-2.20) and 1.53 (1.10-2.12), respectively]. Weight loss was also associated with increased total hospitalizations costs, but not with major complications, respiratory complications, and anastomotic leakage. In subgroup analyses, regardless of baseline BMI, weight loss (>4.8% in nonunderweight or >3.1% in underweight) was a risk factor for failure to rescue and in-hospital mortality.

CONCLUSION

Weight loss during NAT was associated with failure to rescue and in-hospital mortality after esophagectomy, independent of baseline BMI. This emphasizes the importance of weight loss measurement during NAT to assess the risk for a subsequent esophagectomy.

The differential effects of sarcopenia and cachexia on overall survival for pancreatic ductal adenocarcinoma patients following pancreatectomy: A retrospective study based on a large population

OBJECTIVES

Both cachexia and sarcopenia have been considered adverse predictors for prognosis in patients with pancreatic cancer; although sarcopenia and cachexia share some similarities, they are still defined as distinct nutritional conditions. We aimed to explore the differential impacts of sarcopenia and cachexia on prognosis for pancreatic ductal adenocarcinoma (PDAC) patients following radical excision.

METHODS

From January 2015 to May 2022, 614 patients undergoing surgery for PDAC were retrospectively included. Sarcopenia was defined as the L3 total skeletal muscle index below 52.4 cm² /m² (men) and 38.5 cm² /m² (women). Cachexia was classified according to the following criteria: involuntary weight loss >5% over the past 6 months, or weight loss >2% and BMI <20 kg/m² , or weight loss >2% and sarcopenia.

RESULTS

Of the 614 patients included in the analysis, 62% and 48% were diagnosed with sarcopenia and cachexia, respectively. Kaplan-Meier analysis showed that sarcopenia and/or cachexia were significantly associated with worse overall survival (OS) rather than worse recurrence-free survival (RFS). Moreover, Cox regression analysis revealed that cachexia rather than sarcopenia was an adverse factor for OS in all PDAC patients. For poorly differentiated PDAC, both cachexia and sarcopenia were significantly associated with shorter OS. However, for moderately/well-differentiated PADC, cachexia was an independent factor for adverse OS, but not sarcopenia.

CONCLUSIONS

Sarcopenia and cachexia have different effects on OS for PDAC patients undergoing radical excision. This difference may provide some important information for preoperative management.

Sarcopenia and Patient's Body Composition: New Morphometric Tools to Predict Clinical Outcome After Ivor Lewis Esophagectomy: a Multicenter Study

BACKGROUND

The impact of preoperative body composition as independent predictor of prognosis for esophageal cancer patients after esophagectomy is still unclear. The aim of the study was to explore such a relationship.

METHODS

This is a multicenter retrospective study from a prospectively maintained database. We enrolled consecutive patients who underwent Ivor-Lewis esophagectomy in four Italian high-volume centers from May 2014. Body composition parameters including total abdominal muscle area (TAMA), visceral fat area (VFA), and subcutaneous fat area (SFA) were determined based on CT images. Perioperative variables were systematically collected.

RESULTS

After exclusions, 223 patients were enrolled and 24.2% had anastomotic leak (AL). Sixty-eight percent of patients were sarcopenic and were found to be more vulnerable in terms of postoperative 90-day mortality (p = 0.028). VFA/TAMA and VFA/SFA ratios demonstrated a linear correlation with the Clavien-Dindo classification (R = 0.311 and 0.239, respectively); patients with anastomotic leak (AL) had significantly higher VFA/TAMA (3.56 ± 1.86 vs. 2.75 ± 1.83, p = 0.003) and VFA/SFA (1.18 ± 0.68 vs. 0.87 ± 0.54, p = 0.002) ratios. No significant correlation was found between preoperative BMI and subsequent AL development (p = 0.159). Charlson comorbidity index correlated significantly with AL (p = 0.008): these patients had a significantly higher index (≥ 5).

CONCLUSION

Analytical morphometric assessment represents a useful non-invasive tool for preoperative risk stratification. The concurrent association of sarcopenia and visceral obesity seems to be the best predictor of AL, far better than simple BMI evaluation, and potentially modifiable if targeted with prehabilitation programs.

CT-measured body composition radiomics predict lymph node metastasis in localized pancreatic ductal adenocarcinoma

BACKGROUND

To explored the value of CT-measured body composition radiomics in preoperative evaluation of lymph node metastasis (LNM) in localized pancreatic ductal adenocarcinoma (LPDAC).

METHODS

We retrospectively collected patients with LPDAC who underwent surgical resection from January 2016 to June 2022. According to whether there was LNM after operation, the patients were divided into LNM group and non-LNM group in both male and female patients. The patient's body composition was measured by CT images at the level of the L3 vertebral body before surgery, and the radiomics features of adipose tissue and muscle were extracted. Multivariate logistic regression (forward LR) analyses were used to determine the predictors of LNM from male and female patient, respectively. Sexual dimorphism prediction signature using adipose tissue radiomics features, muscle tissue radiomics features and combined signature of both were developed and compared. The model performance is evaluated on discrimination and validated through a leave-one-out cross-validation method.

RESULTS

A total of 196 patients (mean age, 60 years ± 9 [SD]; 117 men) were enrolled, including 59 LNM in male and 36 LNM in female. Both male and female CT-measured body composition radiomics signatures have a certain predictive power on LNM of LPDAC. Among them, the female adipose tissue signature showed the highest performance (area under the ROC curve (AUC), 0.895), and leave one out cross validation (LOOCV) indicated that the signature could accurately classify 83.5% of cases; The prediction efficiency of the signature can be further improved after adding the muscle radiomics features (AUC, 0.924, and the accuracy of the LOOCV was 87.3%); The abilities of male adipose tissue and muscle tissue radiomics signatures in predicting LNM of LPDAC was similar, AUC was 0.735 and 0.773, respectively, and the accuracy of LOOCV was 62.4% and 68.4%, respectively.

CONCLUSIONS

CT-measured body composition Radiomics strategy showed good performance for predicting LNM in LPDAC, and has sexual dimorphism. It may provide a reference for individual treatment of LPDAC and related research about body composition in the future.

Impact of Sarcopenic Obesity on Long-Term Cancer Outcomes and Postoperative Complications After Gastrectomy for Gastric Cancer

BACKGROUND

The prevalence of sarcopenia in gastric cancer (GC), although varying among the reported studies, is around 60%. In the last few years, it has been recognised that sarcopenia can also occur not only in patients with weight loss and low body weight, but also in patients with normal or increased body mass index. Therefore, the term sarcopenic obesity (SO) is a new definition that further expands the implications of altered body composition. The aim of this study was to assess the impact of SO on the perioperative morbidity and the survival of GC patients undergoing gastrectomy by evaluating body composition on CT images.

METHODS

Preoperative CT scans were obtained from all patients with a diagnosis of GC undergoing gastrectomy with curative intent between January 2012 and December 2019. Skeletal muscle mass index (SMMI) and visceral adipose tissue (VAT) cross-sectional area at the level of the transverse processes of the third lumbar vertebra (L3) were measured. Sarcopenia and obesity were defined according to sex-specific cut-off points.

RESULTS

After analysing 190 patients, the prevalence of SO was 21.1% (40 patients) and sarcopenia was 14.7% (28 patients). Multivariate analysis showed that corporal composition was an independent factor of overall survival (p = 0.049). Logistic regression was performed to identify risk factors associated with postoperative complications. SO was identified as a risk factor for serious Clavien-Dindo complications > IIIb/IV [OR 2.82 (1.1-7.1); p = 0.028].

CONCLUSION

SO was a risk factor for severe postoperative complications as well as worse long-term oncological after a gastrectomy for GC.

Prognostic value of the modified advanced lung cancer inflammation index in overweight or obese patients with lung cancer: Results from a multicenter study

BACKGROUND

This study aimed to explore the relationship between the modified advanced lung cancer inflammation index (mALI) and the survival of overweight or obese patients with lung cancer (LC).

METHODS

The mALI was defined as the appendix skeletal muscle index multiplied by the serum albumin level/neutrophil-to-lymphocyte ratio. The cutoff values for males and females were assessed separately. Survival curves were estimated using the Kaplan-Meier method, and statistical differences were determined using the log-rank test. Univariate and multivariate Cox proportional hazards models were used for the survival analysis. The area under the receiver operating characteristic curve was used to compare the prognostic value of mALI with other nutrition assessment indicators.

RESULTS

The mALI cut-offs for males and females were 8.59 and 8.26, respectively. Malnutrition, high systemic inflammation, and advanced stage for overweight or obese LC patients were found to be correlated with a low mALI. The median survival of patients with a low mALI was significantly lower than patients with a high mALI by approximately 25 months. In addition, the mALI can be used as an effective supplement to the traditional pathological stage. Multivariable analysis found that mALI was an independent prognostic factor of overall survival (hazard ratio = 0.531; 95% CI, 0.402-0.700; P < 0.001). The prognostic predictive performance of mALI was superior to that of other nutrition assessment indicators.

CONCLUSIONS

The mALI was an independent risk factor for the prognosis of overweight or obese LC patients, and a useful supplement to the pathological stage.

Association of visceral adipose tissue with postoperative outcome in upper gastrointestinal cancer: a systematic review and meta-analysis

BACKGROUND

There is no consensus on the relation between visceral fat mass and long-term postoperative prognosis in patients with upper gastrointestinal (GI) cancer.

OBJECTIVES

The purpose of this study was to investigate the association of preoperative visceral fat mass with postoperative complications and overall survival (OS) in patients with upper GI cancer.

METHODS

We searched MEDLINE, the Cochrane Central Register of Controlled Trials, EMBASE (Dialog), the WHO International Clinical Trials Platform Search Portal, and ClinicalTrials.gov and identified observational studies published from inception through 20 July 2022. We conducted a systematic review and random-effects meta-analysis of studies including patients who were surgically treated for upper GI cancer and whose visceral fat mass was assessed on the basis of body composition. We independently assessed the risk of bias and quality of evidence using the Quality In Prognosis Studies and the Grading of Recommendations, Assessment, Development, and Evaluation approach, respectively. The primary outcome was OS. HRs and 95% CIs for OS were pooled.

RESULTS

Ninety-one studies (n = 20,583) were included. All studies used computed tomography (CT) to assess the body composition of patients. Twenty-four studies reported the relation between high visceral fat and postoperative outcomes, and their results were synthesized. Compared with low visceral adipose tissue, high visceral adipose tissue assessed by CT may improve OS (HR: 0.69; 95% CI: 0.55, 0.87; I2 = 65%; n = 3407). The risk of bias for OS in each study was moderate or high. The certainty of evidence for OS was very low because of inconsistency in the forest plot, the moderate or high risk of bias, and publication bias.

CONCLUSIONS

High visceral fat may be associated with improved OS after radical resection in patients with upper GI cancer. Further studies are needed to confirm these findings and mitigate the risk.

Prognostic value of cachexia index in patients with colorectal cancer: A retrospective study

Background

Current diagnostic criteria for cancer cachexia are inconsistent, and arguments still exist about the impact of cachexia on the survival of patients with colorectal cancer. In this study, we aim to investigate the prognostic value of a novel cachexia indicator, the cachexia index (CXI), in patients with colorectal cancer.

Methods

The CXI was calculated as skeletal muscle index (SMI) × serum albumin/neutrophil-lymphocyte ratio. The cut-off value of CXI was determined by the receiver operating characteristic (ROC) curves and Youden’s index. The major outcomes were major complications, overall survival (OS), and recurrence-free survival (RFS).

Results

A total of 379 patients (234 men and 145 women) were included. The ROC curves indicated that CXI had a significantly diagnostic capacity for the detection of major complications. Based on Youden’s index, there were 231 and 148 patients in the low and high CXI groups, respectively. Patients in the low CXI group had significantly older age, lower BMI, and a higher percentage of cachexia and TNM stage II+III. Besides, Patients in low CXI group were associated with a significantly higher rate of major complications, blood transfusion, and longer length of stay. Logistic regression analysis indicated that low CXI, cachexia, and coronary heart disease were independent risk factors for the major complications. Kaplan Meier survival curves indicated that patients with high CXI had a significantly more favorable OS than those with low CXI, while no significant difference was found in RFS between the two groups. Besides, there were no significant differences in OS or RFS between patients with and without cachexia. The univariate and multivariate Cox regression analysis indicated that older age, low CXI, and coronary heart disease instead of cachexia were associated with a decreased OS.

Conclusion

CXI was better than cachexia in predicting OS and could be a useful prognostic indicator in patients with colorectal cancer, and greater attention should be paid to patients with low CXI.

Association between malnutrition and leucopenia in patients with osteosarcoma

Background and aim

Leucopenia (LP) greatly limits the efficacy of chemotherapy in osteosarcoma patients. This study aimed to evaluate the nutritional status of osteosarcoma patients before chemotherapy, assess the risk of LP during the perichemotherapy period, and explore the association between malnutrition and LP.

Materials and methods

This study retrospectively analyzed osteosarcoma patients treated in the Tianjin Medical University Cancer Institute and Hospital, China, between January 2009 and December 2020 according to the inclusion and exclusion criteria. Malnutrition in adolescents (5 to 19 years old) and adults (≥20 years old) was diagnosed using WHO AnthroPlus software (version 1.0.4) and Global Leadership initiative on Malnutrition (GLIM), respectively. According to the diagnostic criteria of LP in CTCAE 5.0, patients were divided into the LP group and the non-LP group.

Results

A total of 245 osteosarcoma patients were included. The incidence of malnutrition was 49.0%, and the incidence of LP was 51.8%. The incidence of malnutrition in adolescent patients was 53.1%, and their incidence of LP was 55.2%; the incidence of malnutrition in adult patients was 43.1%, and their incidence of LP was 47.1%. Logistic regression analysis showed that malnutrition before chemotherapy was an independent risk factor for the occurrence of LP after chemotherapy (OR = 6.85, 95% CI = 2.16-25.43; and OR = 35.03, 95% CI = 6.98-238.46 in mildly and severely malnourished young patients; OR = 6.06; 95% CI = 1.43-30.16; and OR = 38.09, 95% CI = 7.23-285.78 in mildly and severely malnourished adult patients, respectively). The results showed that age and nutritional status had a joint effect on the occurrence of LP.

Conclusion

The nutrition status of osteosarcoma patients before chemotherapy is significantly correlated with the occurrence and severity of LP during peri-chemotherapy period. During osteosarcoma chemotherapy, necessary nutritional support should be given to patients of different ages to correct their malnutrition status in a timely manner, ultimately improving the efficacy of chemotherapy and the prognosis of patients.

Sarcopenic obesity and therapeutic outcomes in gastrointestinal surgical oncology: A meta-analysis

Background

Sarcopenic obesity (SO) has been indicated as a scientific and clinical priority in oncology. This meta-analysis aimed to investigate the impacts of preoperative SO on therapeutic outcomes in gastrointestinal surgical oncology.

Methods

We searched the PubMed, EMBASE, and Cochrane Library databases through March 4th 2022 to identify cohort studies. Endpoints included postoperative complications and survival outcomes. Newcastle Ottawa Scale was used for quality assessment. Heterogeneity and publication bias were assessed. Subgroup analyses and sensitivity analyses were performed.

Results

Twenty-six studies (8,729 participants) with moderate to good quality were included. The pooled average age was 65.6 [95% confidence interval (CI) 63.7–67.6] years. The significant heterogeneity in SO definition and diagnosis among studies was observed. Patients with SO showed increased incidences of total complications (odds ratio 1.30, 95% CI: 1.03–1.64, P = 0.030) and major complications (Clavien-Dindo grade ≥ IIIa, odds ratio 2.15, 95% CI: 1.39–3.32, P = 0.001). SO was particularly associated with the incidence of cardiac complications, leak complications, and organ/space infection. SO was also predictive of poor overall survival (hazard ratio 1.73, 95% CI: 1.46–2.06, P &lt; 0.001) and disease-free survival (hazard ratio 1.41, 95% CI: 1.20–1.66, P &lt; 0.001). SO defined as sarcopenia in combination with obesity showed greater association with adverse outcomes than that defined as an increased ratio of fat mass to muscle mass. A low prevalence rate of SO (&lt; 10%) was associated with increased significance for adverse outcomes compared to the high prevalence rate of SO (&gt; 20%).

Conclusion

The SO was associated with increased complications and poor survival in gastrointestinal surgical oncology. Interventions aiming at SO have potentials to promote surgery benefits for patients with gastrointestinal cancers. The heterogeneity in SO definition and diagnosis among studies should be considered when interpreting these findings.

Systematic Review Registration

[https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=255286], identifier [CRD42021255286].

CT-determined low skeletal muscle mass predicts worse overall survival of gastric cancer in patients with cachexia

BACKGROUND

There were controversies for the association between computed tomography (CT)-determined low skeletal muscle mass (SMM) and overall survival (OS) in gastric cancer (GC). In this study, we investigated whether cachexia could be a potential confounding variable for this issue.

METHODS

We retrospectively collected the patients of GC in our institution between July 2016 and January 2021. Preoperative SMM was determined by analyzing the skeletal muscle index of L3 with abdominal CT, and the cut-offs for low SMM were defined as <52.4 (men) and < 38.5 cm² /m² (women), respectively. Overall survival (OS) was the primary endpoint.

RESULTS

Of the 255 included GC patients, 117 (46%) were classified as having low SMM. Those with low SMM were associated with a higher level of circulating interleukin 6 and C reactive protein but a lower level of albumin than those of normal SMM. The univariate analysis showed that low SMM, tumor-node-metastasis (TNM) stage, body mass index (BMI), postoperative chemotherapy, and cachexia were significantly associated with OS, while in the multivariate analysis, only low SMM and TNM stage were significantly associated with OS. Kaplan-Meier survival curves with log-rank tests indicated that low SMM significantly predicted worse OS of GC. After grouping by cachexia, the low SMM significantly predicted worse OS in patients with cachexia instead of those without cachexia.

CONCLUSIONS

CT-determined low SMM predicts worse OS of GC in patients with cachexia instead of those without cachexia, and greater attention should be paid to such patients with synchronous low SMM and cachexia.

Prognostic Value of Pretreatment Skeletal Muscle Mass Index in Esophageal Cancer Patients: A Meta-Analysis

The prognostic role of pretreatment skeletal muscle mass index (SMI) has been verified in several types of cancers. However, it remains unclear whether pretreatment SMI is a valuable prognostic indicator in esophageal cancer. The aim of the present study was to identify the prognostic value of pretreatment SMI in esophageal cancer. PubMed, EMBASE and Web of Science databases were searched for relevant studies up to November 10, 2021. The hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to assess the association of pretreatment SMI with the overall survival (OS) and disease-free survival (DFS) of esophageal cancer patients. In total, 17 studies involving 2441 patients were included in this meta-analysis. The pooled results demonstrated that a lower SMI was significantly associated with poorer OS (HR = 1.18, 95% CI: 1.09-1.27, P < 0.001) and DFS (HR = 1.78, 95% CI: 1.10-2.88, P = 0.019). In addition, subgroup analysis based on treatment (surgery vs. nonsurgery), tumor type (squamous cell carcinoma vs. adenocarcinoma) and cutoff value of SMI showed similar results. The present findings demonstrated that pretreatment SMI is an independent prognostic indicator for esophageal cancer patients, and patients with a lower pretreatment SMI are more likely to have a worse prognosis. However, additional prospective high-quality studies are needed to verify the above findings.

CT-Derived Body Composition Assessment as a Prognostic Tool in Oncologic Patients: From Opportunistic Research to Artificial Intelligence-Based Clinical Implementation

CT-based body composition measures are well established in research settings as prognostic markers in oncologic patients. Numerous retrospective studies have shown the role of objective measurements extracted from abdominal CT images of skeletal muscle, abdominal fat, and bone mineral density in providing more accurate assessments of frailty and cancer cachexia in comparison with traditional clinical methods. Quantitative CT-based measurements of liver fat and aortic atherosclerotic calcification have received relatively less attention in cancer care but also provide prognostic information. Patients with cancer routinely undergo serial CT scans for staging, treatment response, and surveillance, providing the opportunity for performing quantitative body composition assessment as part of routine clinical care. The emergence of fully automated artificial intelligence-based segmentation and quantification tools to replace earlier time-consuming manual and semi-automated methods for body composition analysis will allow these opportunistic measures to transition from the research realm to clinical practice. With continued investigation, the measurements may ultimately be applied to achieve more precise risk stratification as a component of personalized oncologic care.

Influence of Baseline CT Body Composition Parameters on Survival in Patients with Pancreatic Adenocarcinoma

Pancreatic cancer is the seventh leading cause of cancer death in both sexes. The aim of this study is to analyze baseline CT body composition using artificial intelligence to identify possible imaging predictors of survival. We retrospectively included 103 patients. First, the presence of surgical treatment and cut-off values for sarcopenia and obesity served as independent variates. Second, the presence of surgery, subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and skeletal muscle index (SMI) served as independent variates. Cox regression analysis was performed for 1-year, 2-year, and 3-year survival. Possible differences between patients undergoing surgical versus nonsurgical treatment were analyzed. Presence of surgery significantly predicted 1-year, 2-year, and 3-year survival (p = 0.01, <0.001, and <0.001, respectively). Across the follow-up periods of 1-year, 2-year, and 3-year survival, the presence of sarcopenia became an equally important predictor of survival (p = 0.25, 0.07, and <0.001, respectively). Additionally, increased VAT predicted 2-year and 3-year survival (p = 0.02 and 0.04, respectively). The impact of sarcopenia on 3-year survival was higher in the surgical treatment group (p = 0.02 and odds ratio = 2.57) compared with the nonsurgical treatment group (p = 0.04 and odds ratio = 1.92). Fittingly, a lower SMI significantly affected 3-year survival only in patients who underwent surgery (p = 0.02). Especially if surgery is performed, AI-derived sarcopenia and reduced muscle mass are unfavorable imaging predictors.

Insulin and cancer: a tangled web

For a century, since the pioneering work of Otto Warburg, the interwoven relationship between metabolism and cancer has been appreciated. More recently, with obesity rates rising in the U.S. and worldwide, epidemiologic evidence has supported a link between obesity and cancer. A substantial body of work seeks to mechanistically unpack the association between obesity, altered metabolism, and cancer. Without question, these relationships are multifactorial and cannot be distilled to a single obesity- and metabolism-altering hormone, substrate, or factor. However, it is important to understand the hormone-specific associations between metabolism and cancer. Here, we review the links between obesity, metabolic dysregulation, insulin, and cancer, with an emphasis on current investigational metabolic adjuncts to standard-of-care cancer treatment.

Effects of Artificial Intelligence-Derived Body Composition on Kidney Graft and Patient Survival in the Eurotransplant Senior Program

The Eurotransplant Senior Program allocates kidneys to elderly transplant patients. The aim of this retrospective study is to investigate the use of computed tomography (CT) body composition using artificial intelligence (AI)-based tissue segmentation to predict patient and kidney transplant survival. Body composition at the third lumbar vertebra level was analyzed in 42 kidney transplant recipients. Cox regression analysis of 1-year, 3-year and 5-year patient survival, 1-year, 3-year and 5-year censored kidney transplant survival, and 1-year, 3-year and 5-year uncensored kidney transplant survival was performed. First, the body mass index (BMI), psoas muscle index (PMI), skeletal muscle index (SMI), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) served as independent variates. Second, the cut-off values for sarcopenia and obesity served as independent variates. The 1-year uncensored and censored kidney transplant survival was influenced by reduced PMI (p = 0.02 and p = 0.03, respectively) and reduced SMI (p = 0.01 and p = 0.03, respectively); 3-year uncensored kidney transplant survival was influenced by increased VAT (p = 0.04); and 3-year censored kidney transplant survival was influenced by reduced SMI (p = 0.05). Additionally, sarcopenia influenced 1-year uncensored kidney transplant survival (p = 0.05), whereas obesity influenced 3-year and 5-year uncensored kidney transplant survival. In summary, AI-based body composition analysis may aid in predicting short- and long-term kidney transplant survival.

Effect of Body Composition Change during Neoadjuvant Chemotherapy for Esophageal Squamous Cell Carcinoma

Effects of changes in body composition during neoadjuvant chemotherapy (NAC) on perioperative complications and prognosis are unknown in patients with esophageal squamous cell carcinoma (ESCC). A total of 175 patients who underwent surgery for ESCC in our hospital between 2016 and 2019 were examined. The psoas muscle index (PMI) was calculated from the total psoas muscle area, and the visceral fat mass (VFM) at the umbilical level was measured. We defined body composition change (BCC) group as those with increased VFM of ≥ 3% and decreased PMI of ≥ 3% during NAC. Sarcopenia (S) was defined as PMI < 5.89 (male) and <4.06 (female). Nutritional assessment using the Subjective Global Assessment tool was performed upon admission. The percentages of BCC group, pre-NAC S, and post-NAC S was 32.5%, 79.4%, and 80.0%, respectively. BCC group had significantly more postoperative complications (p < 0.01) and longer hospital stays (p = 0.03) than groups pre-NAC S and post-NAC S. Overall survival (OS) analysis using the Cox hazard model showed that stage III (p < 0.01) and post-NAC S (p = 0.03) were poor prognostic factors. Changes in body composition during NAC affected perioperative complications and prognosis of patients with ESCC.

Nomogram of Combining CT-Based Body Composition Analyses and Prognostic Inflammation Score: Prediction of Survival in Advanced Epithelial Ovarian Cancer Patients

PURPOSE

To investigate the value of body composition changes measured by quantitative computer tomography (QCT) in evaluating the prognosis of advanced epithelial ovarian cancer (AEOC) patients who underwent primary debulking surgery (PDS) and adjuvant platinum-based chemotherapy, and constructed a nomogram model for predicting survival in combination with prognostic inflammation score (PIS).

METHOD

Fifty-seven patients with AEOC between 2012 and 2016 were retrospectively enrolled. Pre- and post-treatment CT images were used to analyze the body composition biomarkers. The subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), cross-sectional area of paraspinal skeletal muscle area (PMA), skeletal muscle density (SMD), body mineral density (BMD) were measured from two sets of CT images.

RESULTS

In multivariate analyses, VFA gain, PMA loss, BMD loss, and PIS were independent risk factors of overall survival (OS) (HR = 3.7, 3.0, 2.8, 1.9, respectively, all p < 0.05). Receiver operating characteristic (ROC) curves showed that the prognostic model combining body composition changes (BCC) and PIS had the highest predictive performance (area under the curve = 0.890). The concordance index (C-index) of the prognostic nomogram was 0.779 (95% CI, 0.673-0.886). Decision curve analysis (DCA) demonstrated the prognostic nomogram had a great distinguishing performance.

CONCLUSION

CT-based body composition analyses and PIS were associated with poor OS for AEOC patients who underwent PDS and adjuvant platinum-based chemotherapy. The prognostic nomogram with a combination of BCC and PIS was dependable in predicting survival for AEOC patients during treatment.