Decision tree algorithm to predict mortality in incurable cancer: a new prognostic model.

OBJECTIVES: To develop and validate a new prognostic model to predict 90-day mortality in patients with incurable cancer. METHODS: In this prospective cohort study, patients with incurable cancer receiving palliative care (n = 1322) were randomly divided into two groups: development (n = 926, 70%) and validation (n = 396, 30%). A decision tree algorithm was used to develop a prognostic model with clinical variables. The accuracy and applicability of the proposed model were assessed by the C-statistic, calibration and receiver operating characteristic (ROC) curve. RESULTS: Albumin (75.2%), C reactive protein (CRP) (47.7%) and Karnofsky Performance Status (KPS) ≥50% (26.5%) were the variables that most contributed to the classification power of the prognostic model, named Simple decision Tree algorithm for predicting mortality in patients with Incurable Cancer (acromion STIC). This was used to identify three groups of increasing risk of 90-day mortality: STIC-1 - low risk (probability of death: 0.30): albumin ≥3.6 g/dL, CRP <7.8 mg/dL and KPS ≥50%; STIC-2 - medium risk (probability of death: 0.66 to 0.69): albumin ≥3.6 g/dL, CRP <7.8 mg/dL and KPS <50%, or albumin ≥3.6 g/dL and CRP ≥7.8 mg/dL; STIC-3 - high risk (probability of death: 0.79): albumin <3.6 g/dL. In the validation dataset, good accuracy (C-statistic ≥0.71), Hosmer-Lemeshow p=0.12 and area under the ROC curve=0.707 were found. CONCLUSIONS: STIC is a valid, practical tool for stratifying patients with incurable cancer into three risk groups for 90-day mortality.

Association of the muscle mass phenotype as assessed by a grading system with the quality of life of patients with incurable cancer in palliative care.

BACKGROUND: Loss of muscle mass (MM) is common in advanced stages of cancer, with an impact on worsening quality of life (QoL). In the current study the relationship of a previously proposed simple grade system to assess MM phenotypes with QoL was investigated to strengthen its clinical significance. AIM: To verify whether the MM phenotypes, which were evaluated by using a grading system, are associated with the quality of life (QoL) of patients with incurable cancer. METHODS: Secondary data from a cohort of patients with incurable cancer in palliative care were analyzed. The grade system considers measurements of the muscle area arm and handgrip strength. Based on these measurements, patients are classified as probably non-sarcopenic (NSarc), probably sarcopenic (PSarc), and sarcopenic (Sarc). The outcome measure was QoL domains assessed by the EORTC QoL Questionnaire Core-15. Logistic regression models were used to verify the association of the domains of QoL with the MM phenotypes. RESULTS: A total of 770 patients were included, median age of 62 years and 56.6% females. The PSarc group had significantly worse scores in the QoL domains when compared to the NSarc group (physical p = 0.001, emotional p = 0.018, fatigue p < 0.001, nausea p = 0.017, insomnia p = 0.001, appetite loss p = 0.002, and global health p = 0.043). Adjusted logistic regression analysis showed an increased risk of worse QoL in the PSarc and Sarc, when compared to NSarc, respectively (odds ratio [OR], 95% confidence interval [CI]): physical (OR: 2.54, CI: 1.78-3.62 and OR: 7.18, CI: 4.24-12.17), emotional (OR: 1.61, CI: 1.15-2.24 and OR: 1.49, CI: 1.01-2.20), fatigue (OR: 1.89, CI: 1.35-2.64 and OR: 1.83, CI: 1.23-2.71), insomnia (OR: 2.01, CI: 1.43-2.83 and OR: 3.11, CI: 2.04-4.75), while appetite loss domain was associated with the PSarc (OR: 1.40, CI: 1.02-1.96), together with global health in the Sarc group (OR: 1.56, CI: 1.06-2.29). CONCLUSION: The severity of the MM phenotype was associated with a worse QoL domains. Our results highlight the importance of MM preserving to affecting QoL status. The grading system can be useful for predicting the QoL in those patients, and its usefulness can potentially impact clinical and therapeutic decision-making.

Factors associated with variability in skeletal muscle radiodensity in patients with metastatic cancer.

OBJECTIVES: This study aimed to explore factors associated with skeletal muscle radiodensity (SMD) variability in patients with metastatic cancer. METHODS: This study included 393 patients (median age 61 y, 70% women) who had computed tomography (CT) scans within 30 days of inclusion in the study. SMD was evaluated from CT by averaging the Hounsfield unit value of the total muscle area. Skeletal muscle index (SMI), visceral adipose tissue index (VATI), subcutaneous adipose tissue index (SATI), and total adipose tissue index (TATI) were also assessed by CT. Additionally, age, sex, race/skin color, disease characteristics, comorbidities, inflammatory markers, handgrip strength (HGS), and body mass index (BMI) were recorded and evaluated in the linear regression analysis to identify factors associated with SMD variability. RESULTS: Multivariate explanatory models having SMD as an independent variable were performed and included BMI (model 1, r2 = 0.699), TATI (model 2, r2 = 0.712) or VATI and SATI (model 3, r2 = 0.706) in addition to age, race/skin color, tumor site, kidney disease, serum albumin, HGS, and SMI as dependent variables. For all models, lower SMD was associated with higher age, BMI, and adiposity measurements, kidney disease, White race/skin color, and lower serum albumin, HGS, and SMI. The primary tumor site also contributed to changes in SMD in all models, specifically those located in the gastrointestinal tract, gynecologic, and bone and connective tissue. CONCLUSION: In this group of patients with metastatic cancer, lower SMD was associated with older age, White race/skin color, and an overall worse clinical condition.

Prognostic risk stratification using C-reactive protein, albumin, and associated inflammatory biomarkers in patients with advanced cancer in palliative care.

PURPOSE: To evaluate the prognostic value of C-reactive protein (CRP), albumin, CRP/albumin ratio (CAR), and modified Glasgow Prognostic Score (mGPS) at different thresholds in patients with advanced cancer in palliative care. METHODS: Prospective cohort study with patients evaluated at a palliative care unit in Brazil between July 2016 and March 2020. We included patients ≥ 20 years old, both sexes, able to provide the necessary information or accompanied by someone able to do so, and Karnofsky Performance Status ≥ 30 %. The exclusion criteria were the absence of laboratory data and previous diagnosis of autoimmune and infectious diseases. The thresholds analyzed were: CRP < 5 vs. 5-10 vs. > 10 mg/L, albumin < 2.4 vs. 2.4-2.9 vs. 3.0-3.5 vs. > 3.5 g/dL; CAR <1.2 vs. 1.2-2.0 vs. > 2.0, and mGPS equal to 0 vs. 1 vs. 2. Kaplan-Meier curves and Cox regression models (with hazard ratios [HR] and 95% confidence interval [CI]) were used to evaluate prognostic value, and the concordance statistic (C-statistic) was used to evaluate the predictive accuracy of these thresholds to predict death within 90 days. RESULTS: A total of 1,877 patients were included. Median overall survival was 51 (19;124) days and decreased in line with the deterioration of the inflammatory biomarkers. According to the Cox regression models, HR increased as the thresholds worsened (CRP: 1.74 [95% CI, 1.50-2.02] to 2.30 [95% CI, 2.00-2.64]; albumin: 1.77 [95% CI, 1.52-2.07] to 2.60 [95% CI, 2.15-3.14]; CAR: 1.47 [95% CI, 1.21-1.77] to 2.35 [95% CI, 2.05-2.69]; mGPS: 1.78 [95% CI, 1.40-2.23] to 1.89 [95% CI, 1.65-2.15]). All the inflammatory biomarkers evaluated showed discriminatory accuracy for predicting death (C-statistic >0.70), with CAR as the best parameter (C-statistic: 0.80). CONCLUSION: Our results suggest that CRP, albumin, CAR, and mGPS can be used as clinically meaningful biomarkers to stratify patients with advanced cancer in palliative care according to the severity of these indicators.

Nutritional support in palliative cancer care: quality of life in oral versus tube feeding.

BACKGROUND: Nutritional support (NS) offered through oral nutritional supplements (ONS) or enteral nutrition (EN) and its impact on quality of life (QoL) is a controversial topic in patients with cancer receiving palliative care (PC). AIMS: To compare the QoL of patients without and with use of NS, including ONS or EN in patients with incurable cancer receiving PC. METHODS: Cross-sectional analysis with patients that were evaluated at PC Unit between June 2021 and February 2023. QoL was assessed using the Quality of Life Questionnaire Core 15. Patients were classified into three groups according to the NS: ONS (n=72; 33%), EN (n=61; 28%) and control group (CG) (n=87; 39%), the last one being formed by patients not using NS. Adjusted logistic regression models were used to verify the association of the domains of QoL with the type of NS. RESULTS: A total of 220 patients were included, with a median age of 64 (58-70) years, predominantly male (54.1%). The EN group had worse scores in physical function when compared with the ONS group (p=0.037) and appetite loss when compared with the CG (p=0.013). The ONS (OR: 2.70; 95% CI 1.32 to 5.49) and EN groups (OR: 2.61; 95% CI 1.24 to 5.49) were independently associated with a higher chance of presenting appetite loss in relation to the CG. CONCLUSION: In general, there was no difference in the QoL of patients using NS when compared with patients not using NS. However, patients using NS have more chance of having appetite loss.

The association between low skeletal muscle mass and low skeletal muscle radiodensity with functional impairment, systemic inflammation, and reduced survival in patients with incurable cancer.

BACKGROUND AND AIMS: Factors associated with the concomitant occurrence of low muscle mass and low muscle radiodensity are unclear. This study investigated whether different skeletal muscle phenotypes are associated with functional impairment, serum inflammatory markers, and survival in patients with incurable cancer. METHODS: Three hundred and twenty-six patients (median age, 60 years; 67.5% female) who had abdominal or pelvic computed tomography (CT) scans up to 30 days before the initial assessment were enrolled in the study. CT images were used for the assessment of skeletal muscle index (SMI) and skeletal muscle radiodensity (SMD). Optimal stratification analysis was used to derive cohort-specific cutoff points to define SMI and SMD groups with a higher risk for mortality (SMI, males <45.0 cm2 /m2 and females <44.0 cm2 /m2 ; SMD, males <34 Hounsfield units [HU] and females <30 HU). Based on these cutoffs, participants were classified into four phenotypes: low-risk SMI + low-risk SMD, high-risk SMI + low-risk SMD, low-risk SMI + high-risk SMD, and high-risk SMI + high-risk SMD. RESULTS: Phenotypes with high-risk SMI or high-risk SMD, especially when combined, were associated with low handgrip strength, poor performance status, higher C-reactive protein, and lower serum albumin levels. The phenotypes with high-risk SMD, regardless of low-risk SMI (hazard ratio [HR], 1.74; 95% CI, 1.05-2.88) or high-risk SMI (HR, 1.99; 95% CI, 1.29-3.05) were associated with higher 90 days' mortality risk. CONCLUSION: In patients with incurable cancer, phenotype groups with high-risk SMI and high-risk SMD, particularly when combined, were associated with worse functional impairment and inflammation. Moreover, high-risk SMD was associated with increased mortality risk.

Validation of the scored Patient-Generated Subjective Global Assessment Short Form as a prognostic tool for incurable cancer patients.

BACKGROUND: The Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF) is a standardized tool for assessing nutrition risk in patients with cancer. The aim of this study was to propose and validate a cutoff point for the PG-SGA SF related to the prognosis of patients with incurable cancer in exclusive palliative care. METHODS: This is a prospective cohort study of patients with incurable cancer at the National Cancer Institute in Brazil. A total sample (n = 2,144) was randomly divided into groups: (1) training (n = 1,072), to determine the most accurate PG-SGA SF cutoff, and (2) validation (n = 1,072), to test the predictive accuracy of this cutoff point. The receiver operating characteristic curve was plotted to determine the best cutoff point of the PG-SGA SF related to death. Concordance statistics (C statistic) were used to test the predictive accuracy of the models. Kaplan-Meier curve and the Cox hazard model were used to verify a prognostic value of the cutoff point. RESULTS: PG-SGA SF score ≥15 was found to be the best cutoff based on 90-day mortality with good accuracy discrimination (C statistic ≥ 0.74). Patients whose PG-SGA SF score was ≥15 had a shorter survival of 32 (interquartile range [IQR], 12-75) vs 83 days (IQR, 31-90) (p-value < .001) and higher risk of death (hazard ratio: 2.20; 95% CI, 1.64-2.95). CONCLUSIONS: The proposed PG-SGA SF cutoff score is valid and, alongside its usefulness in nutrition triage, could provide prognostic value for patients with incurable cancer.

Reference values for handgrip strength and their association with survival in patients with incurable cancer.

BACKGROUND/OBJECTIVES: Handgrip strength (HGS) is a potential predictor of outcomes in cancer setting. However, reference values for this population are lacking. The study aimed to describe reference values and cutoff point for HGS in adults with incurable cancer in Brazil and to verify the association of reference values with prognostic. METHODS: Secondary analysis of a prospective cohort, conducted with 1,868 patients at the National Cancer Institute in Brazil were analyzed. HGS (kg) data were obtained with a Jamar® hydraulic dynamometer. Description of percentile values of HGS was stratified by sex and age groups. Receiver operating characteristic curve was performed to determine the optimal HGS cutoff point by sex and age according to performance status. Kaplan-Meier curves was used to analyze the probability of survival and Cox's proportional model used to identify whether HGS predict 180-d mortality. RESULTS: HGS value was significantly higher in male than in female and decreased with increasing age. Sex-specific HGS cutoff values ranged from 32.5 to 24.5 kg in males and 20.5 to 18.5 kg in females (with younger adults stronger than the older ones). When compared to HGS ≥50th, patients with HGS ≤10th percentile had significantly lower survival, as well as patients classified below the HGS cutoff point. In addition, patients with lower HGS percentiles showed increased risk of mortality regardless of sex and age. CONCLUSION: Reference values can inform the clinical assessment of HGS, which is recognized as an important part of the identification of patients with incurable cancer with reduced physical function and short survival.

Development and validation of a grading system for assessing muscle mass phenotype using mid-upper arm muscle area and handgrip strength in patients with incurable cancer.

BACKGROUND: This study aimed to develop and validate a distinct method to evaluate muscle mass phenotype in patients with incurable cancer based on a combination of mid-upper arm muscle area (MUAMA) and handgrip strength (HGS). METHODS: This prospective cohort study was conducted with patients with incurable cancer who were enrolled at the palliative care unit of a cancer institute. The 1,660 patients were randomized into two data sets: training (70%; n = 1162), used to determine the muscle mass phenotype groups, derived from a combination of MUAMA and HGS cutoff points related to 180-days mortality; and validation (30%; n = 498), used to evaluate the relationship of the proposed muscle phenotype grading system with performance status, body composition, nutrition status, and mortality. RESULTS: The training data set resulted in three distinct groups formed by combining the cutoff points of MUAMA and HGS, with the best muscle mass phenotype being group 1, the group with any impairment of muscle mass being the 2, and the worst muscle mass phenotype being group 3. In the validation data set, lower performance status (both sexes p < 0.001), worse skeletal muscle index (both sexes p < 0.001), muscle radiodensity (men, p = 0.001; women, p = 0.008), and nutritional status (men, p = 0.003; women, p < 0.001) were observed as MUAMA and HGS values diminished. Patients in group 3 presented significantly higher risk of 180-day mortality (both sexes p < 0.001). CONCLUSION: The muscle mass phenotype grading system proved to be able to identify patients with lower performance status, worse body composition measurements and nutritional status, and higher risk of death in 180 days.

Effect of low skeletal muscle mass combined with low muscle strength to predict survival in patients with incurable cancer.

BACKGROUND & AIMS: The study aimed to evaluate the effect of muscle mass, alone and combined with muscle strength, in predicting survival in patients with incurable cancer. Muscle mass was assessed by computed tomography (CT). METHOD: Low muscle mass and low muscle strength was defined, respectively, by skeletal muscle index (SMI) assessed by CT and handgrip strength (HGS) below the first tertile of the studied sample, as follow: SMI < 41.3 or < 34.9 cm2/m2 (male/female) and HGS < 20 or < 13 kg (male/female). Kaplan Meier curves, and Cox-regression models were applied to analyze overall survival (OS) outcomes. RESULTS: A total of 386 patients were included, and the median OS was 43 [interquartile range (IQR): 15-96] days. Considering the appropriate SMI and HGS as the reference group, a significantly lower OS was observed in the group with low SMI + low HGS [54 (IQR: 38-69) versus 22 (IQR: 10-33) days; p < 0.001]. Patients with low HGS alone presented lower OS than those of the appropriate group [52 (IQR: 42-61) versus 24 (IQR: 17-30) days; p < 0.001], but no differences were observed in the groups with low SMI alone versus appropriate [46 (IQR: 35-56) versus 40 (IQR: 30-49) days; p = 0.365]. The adjusted Cox regression demonstrated that low HGS alone [hazard ratio (HR): 1.51; 95% confidence interval (CI): 1.20-1.91] and low SMI + low HGS group (HR: 1.77; 95% IC: 1.28-2.44) had higher risk of 180-day mortality. Muscle mass combined with muscle strength improved OS prediction compared to these measurements alone in patients with incurable cancer.

Effects of specialised nutritional interventions in patients with incurable cancer: a systematic review.

OBJECTIVE: To evaluate current evidence of the effect of specialised nutritional interventions on nutritional status, survival, quality of life and measures of functionality in patients with incurable cancer. METHODS: Systematic literature review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines using PubMed/MEDLINE, EMBASE, Scopus, LILACS and Cochrane Library databases. Clinical studies that evaluated different specialised nutritional interventions, such as nutritional counselling, oral nutritional supplementation (ONS), enteral nutrition (EN) and parenteral nutrition (PN), were eligible. Only studies classified as being of high methodological quality (ie, low or moderate risk of bias) were included. RESULTS: A total of 22 studies reporting on 2448 patients were deemed eligible. Five types of specialised nutrition were observed: mixed (multimodal nature, ie, dietary counseling, ONS, physical activity and/or drugs) (n=12), ONS (n=5), PN (n=3), EN (n=1) and multidisciplinary team counselling (n=1). Benefits of any kind from the interventions were reported in 14 (63.6%) studies, mainly resulting from mixed intervention. Nutritional status improved in 12 (60.0%) of 20 studies and quality of life improved in eight (50.0%) of 16 studies. Few studies have evaluated the influence of nutritional interventions on survival and measure of functionality, and have not shown improvement in these outcomes. CONCLUSION: Despite the limited evidence, specialised nutritional interventions can yield positive effects for patients with incurable cancer, mainly in their nutritional status and quality of life.

Nutritional status and primary tumour site in incurable cancer.

OBJECTIVES: We aimed (1) to assess the nutritional status (NS) using different methods, according to the primary tumour site and (2) to evaluate the performance of these methods in patients with incurable cancer from a reference centre in Brazil. METHODS: Cross-sectional analysis of data from patients admitted to the palliative care unit of a reference cancer centre in Brazil, between July 2016 and March 2020. The primary tumour site was the independent variable and the NS using different methods were the dependent variables. Logistic regressions were performed. RESULTS: A total of 2,144 patients were included in the study. The most common primary tumour site was the upper gastrointestinal (GI) tract (18.0%), followed by gynaecological (17.6%) and head and neck (HN) (13.5%). Our results showed that patients with tumours of the upper GI tract followed by HN presented significantly higher risk of worse NS. In contrast, breast tumours, bone and connective tissues and melanoma presented inverse association. The gynaecological cancer was variably associated with nutritional impairment, according to the assessment method. CONCLUSIONS: Patients with incurable cancer present high prevalence of NS impairment, depending on the tumour site, shown to be elevated in patients with tumour in the upper GI tract.

New cancer cachexia staging system for use in clinical practice.

OBJECTIVES: Previous attempts to classify cancer cachexia (CC) have demonstrated limitations regarding stages and diagnostic criteria. This study aims to develop and validate a new staging system for CC in patients with incurable cancer. METHODS: This is an analysis of a database from a prospective cohort study of 1325 patients with advanced cancer referred for palliative care between 2016 and 2020. The cohort was randomly divided into two groups: Development (882 patients) and validation (443 patients) sets. A hierarchical cluster analysis was performed to distinguish different stages of CC in the development set. Next, the optimal cutoff points and ideal combinations of the most important factors associated with the CC groups (clusters) were ascertained. Finally, the relationship between the CC stages determined using the new system and body composition, quality of life, and overall survival was verified with the validation set. RESULTS: The new system classified CC into three stages: Precachexia (10.8%), cachexia (57.8%), and refractory cachexia (31.4%), based on a combination of percentage weight loss in the past 6 mo (<15 or ≥15), body mass index (<21.0, 21.0-26.4, >26.4 kg/m2), and mid-upper-arm muscle area (≥38.0/≥35.5 or <38.0/<35.5 cm2 in men/women, respectively). The new staging system enabled a clear classification of patients into three CC groups according to the outcomes analyzed. Outcomes of patients with refractory cachexia were significantly worse than those in the other groups. CONCLUSIONS: This study presents a useful, valid system for CC staging in the clinical setting, and is also capable of predicting outcomes, including quality of life and overall survival.

Clinical utility of the modified Glasgow Prognostic Score to classify cachexia in patients with advanced cancer in palliative care.

BACKGROUND & AIMS: It is a challenge in clinical practice to identify and classify cancer cachexia. Currently, it has been extensively discussed if the presence of alterations in inflammatory biomarkers implies the presence of cachexia. This study aimed to evaluate the clinical relevance of cachexia classification through modified Glasgow Prognostic Score (mGPS) in advanced cancer patients in palliative care. METHODS: Observational prospective cohort study conducted at a Palliative Care Unit in Brazil. Cachexia classification was performed according to mGPS (based on albumin and C-reactive protein) in four different stages: no cachexia (NCa), undernourished (Un), pre cachexia (PCa), and refractory cachexia (RCa). Logistic regression models were used to test the association between cachexia stages and clinical, nutritional and functional domains. Kaplan-Meier curve and Cox multivariate model were used to analyze overall survival (OS). RESULTS: A total of 1166 patients were included in the study. According to the cachexia framework 37.5% were NCa, 32.3% Un, 3.9% PCa and 26.4% RCa. Significant differences were observed among cachexia stages for most of the outcome measures. This classification was able to predict mortality in 90 days [Un (HR, 1.55; 95% CI, 1.25; 1.93); PCa (HR, 2.00; 95% CI, 1.34; 2.98); RCa (HR, 2.45; 95% CI, 1.34; 2.98)]. CONCLUSION: Cachexia stages were associated with significant differences in poor clinical outcomes and were also capable of predicting OS. This framework based on simple and objective criteria can be used as part of the routine to characterize the presence and stages of cachexia in advanced cancer patients.

Cancer cachexia: Comparing diagnostic criteria in patients with incurable cancer.

OBJECTIVES: Cancer cachexia (CC) is a multifactorial syndrome that is associated with worse outcomes. Several criteria for its diagnosis have been suggested, but notable disparities exist. This study compared different diagnostic criteria for CC in patients with incurable cancer who are in palliative care. METHODS: A prospective cohort study was conducted at the National Cancer Institute in Brazil. Patients were classified by three CC diagnostic criteria, and comparisons between clinical, nutritional, and functional variables were verified according to the CC stage identified. Kaplan-Meier survival curves and Cox regression were used for the survival analysis. Concordance statistics were used to test the prognostic predictive accuracy of the criteria. RESULTS: The prevalence of cachexia in the 1384 patients included in the study varied from 13.8% to 53.9% according to the classification criteria used. All criteria distinguished noncachectic patients from other categories according to the majority of the domains studied. However, the results were inconsistent in distinguishing patients with intermediate cachexia (mainly precachexia) from noncachectic and cachectic patients. Patients with cachexia or refractory cachexia faced a higher risk of 90-d mortality. The criteria described by Vigano et al. were found to be better at distinguishing the stages of CC regarding overall survival (hazard ratio increases according to CC severity: 1.87 to 2.87; concordance statistic: 0.74). CONCLUSIONS: Our results demonstrate the disparities in existing CC diagnostic criteria and their inability to discriminate intermediate stages. Vigano et al.'s criteria is/was the most effective in predicting the prognosis. The development of new diagnostic criteria to improve CC classification requires future exploration.

Association between low muscle mass and survival in incurable cancer patients: A systematic review.

Current data suggest that low skeletal muscle mass provides prognostic information in patients with cancer and may even be considered a biomarker in research and clinical evaluations. The aim of this systematic review was to explore whether low muscle mass is associated with overall survival (OS) in patients with incurable cancer. A systematic search was conducted for published literature using PubMed/MEDLINE, Scopus, LILACS, and the Cochrane Library, with no restrictions on language or publication date, to examine whether low muscle mass is associated with OS in patients with incurable cancer. Eligible studies included low muscle mass evaluated using gold standard techniques (dual energy x-ray absorptiometry or computed tomography). The studies quality assessment was performed using the Newcastle-Ottawa Scale. Thirteen studies were included. The studies reported on 1959 patients between 54.3 (median) and 72.9 (mean) y of age; pancreatic cancer was the most common type of tumor. According to the survival curves and most of the multivariate analyses, there was no statistically significant association between loss of muscle mass and reduced OS. Four studies reported that overweight or obese patients with muscle mass depletion had significantly shorter OS. These results indicate that there is insufficient evidence to associate low muscle mass with OS in patients with incurable cancer. Further studies deploying other muscle measurement methods suggest that use of low muscle mass cutoff alone is still necessary in the pursuit of OS prediction in this population.

Different methods for diagnosis of sarcopenia and its association with nutritional status and survival in patients with advanced cancer in palliative care.

OBJECTIVES: The aim of the present study was to evaluate the association between sarcopenia, diagnosed by different muscle mass measurement techniques, with nutritional status and overall survival in patients with advanced cancer under palliative care. AIM: To investigate the association of sarcopenia, according to distinct muscle mass measurement methods, with nutritional status and overall survival (OS). METHODS: This observational and prospective study, including 334 patients, defined sarcopenia as reduced muscle mass and strength. Muscle mass was evaluated adopting 3 different methods, mid-upper arm muscle area (MUAMA), calf circumference (CC) and appendicular skeletal muscle mass (ASMI) described by Baumgartner (1998) and adjusted for height. Strength was defined using a handgrip dynamometer and OS was established based on a 90 days follow-up after inclusion date. Kaplan-Meier curves were conducted for survival analyzes and the association between sarcopenia and OS was evaluated by Cox regression model RESULTS: Prevalence of sarcopenia varied from 27-65% according to the method used to evaluate muscle mass. Malnutrition assessed by different parameters was significantly higher in patients with sarcopenia. Patients considered sarcopenic by MUAMA (43 versus 67 days, p<0.001), CC (44 versus 77 days, p<0.001) and ASMI (48 versus 75 days, p<0.001) had significantly lower OS compared to non-sarcopenic patients. Sarcopenia evaluated by MUAMA (HR, 1.57; 95% CI, 1.12-2.18) and CC (HR, 2.00; 95% CI, 1.45-2.76) showed a higher risk of mortality. CONCLUSION: Sarcopenia diagnosed by MUAMA and CC could predict mortality and CC proved to be the best prognostic method for estimating OS in patients with advanced cancer in palliative care.

Relationship of nutritional status and inflammation with survival in patients with advanced cancer in palliative care.

OBJECTIVE: This study aimed to evaluate the prognostic value of nutritional and inflammatory status in patients with advanced cancer receiving palliative care. METHODS: The systemic inflammatory response was assessed using the modified Glasgow Prognostic Score (mGPS), and nutritional status was evaluated according to the Patient-Generated Subjective Global Assessment (PG-SGA) in 172 patients evaluated on their first visit in the Palliative Care Unit at the National Cancer Institute in Brazil. The receiver operating characteristic (ROC) curve was used to define the best cutoff point for the death-related PG-SGA score in 90 d. Kaplan-Meier curves were conducted for survival analyses, and logistic regression analyses were performed using the Cox proportional hazards model. RESULTS: According to the PG-SGA, 83.6% of the patients (n = 143) were malnourished (B + C) and 34.8% (n = 53) had mGPS ≥1. The best cutoff of the PG-SGA score for death was ≥19 points (area under the curve, 0.69; P = 0.041). Patients with scores ≥19, mGPS ≥1, albumin <3.5 g/dL, and C-reactive protein ≥10 mg/L had a significantly lower overall survival. According to the multivariate analysis, albumin <3.5 g/dL (hazard ratio [HR], 2.04; 95% confidence interval [CI], 1.16-3.58), mGPS ≥1 (HR, 1.46; 95% CI, 1.09-2.22), and PG-SGA score ≥19 (HR, 1.66; 95% CI, 1.08-2.55) were independent prognostic factors for overall survival. CONCLUSION: The severity of the systemic inflammation and the poor nutritional status predict survival and were considered independent prognostic factors. Thus they can be useful tools for nutritional evaluation in palliative care.

The Prognostic Role of Phase Angle in Advanced Cancer Patients: A Systematic Review.

Phase angle (PA) is a ratio between the reactance and resistance obtained by bioelectric impedance analysis and has been interpreted as a cell membrane integrity indicator and a predictor of total body cell mass. A low PA may suggest deterioration of the cell membrane, which in advanced cancer patients may result in a reduced overall survival (OS). This systematic review sought to investigate the current evidence regarding whether there is an association between PA and OS in patients with advanced cancer (ie, metastatic disease). The search was conducted on electronic databases in August 2017. A total of 34 articles were identified in the initial literature search. Nine studies reporting on 1496 patients were deemed eligible according to our inclusion criteria. PA data were analyzed as continuous variables or according to different cutoffs, under a frequency of 50 Khz. Low PA was associated with worse nutrition status evaluated by body mass index, serum albumin level, transferrin, and fat-free mass. The median OS of the included papers varied from 25.5-330 days, and all studies analyzed showed a significant association between PA and OS, in that patients with low PA had worse OS. Future studies are necessary to justify the use of PA in therapeutic decisions for this population and to evaluate whether nutrition status can influence the association between PA and survival.