A large, multi-centre prospective study demonstrating high prevalence of malnutrition associated with reduced survival in ambulatory systemic anti-cancer therapy patients.

BACKGROUND & AIMS: The nutritional status of cancer patients is highly variable, and known to impact on clinical outcomes. To date, no large study evaluating the nutritional status of Irish cancer patients has been reported. The aim of this study was to describe the nutritional status, using gold standard methods, of a large cohort of ambulatory oncology patients receiving Systemic Anti-Cancer Therapy and to assess the impact of abnormal body composition phenotypes on survival. METHODS: A prospective study in adults undergoing Systemic Anti-Cancer Therapy for solid tumours enrolled patients between 2012 and 2016. Baseline details were collected incorporating demographics, cancer pathology, lifestyle, body composition (by computed tomography (CT), and inflammatory status. Skeletal muscle index (SMI) and mean muscle attenuation (MA) were obtained from CT images and categorised to low muscle mass and low MA using previously published sex specific cut points. Survival was monitored for a median of 25 months [IQR:10-46 months]. Survival analyses were conducted using multivariate Cox Proportional Hazards Models. RESULTS: Of 1015 patients recruited, 940 patients with an evaluable CT were included in this analysis. Median age was 64 years [IQR 55-71] and 56% were male. Colorectal cancer (28%) and gastro-oesophageal (16%) were the most common diagnoses and 58% of patients had stage IV disease. Despite 56% being overweight or obese (BMI >25 kg/m2), 52% were weight losing and 17% had lost >10% body weight. Cancer Cachexia (CC) was present in 42%, 39% had low muscle mass (MM) (sarcopenia) and 45% had low MA. Overall, 73% of patients exhibited an abnormal body composition (BC) phenotype (≥1 of CC, low MM/MA). Overall survival was significantly lower in those with abnormal BC phenotype, independent of site, stage, sex, ECOG and mGPS (HR: 1.416 [95% CI: 1.069-1.875], p = 0.015). CONCLUSIONS: Malnutrition and abnormal body composition phenotypes are common in cancer, but are often masked by adiposity. Appropriate screening and diagnostic tools should consider this co-presentation of overweight and obesity, alongside muscle depletion. Given that abnormal body composition phenotypes detectable only via CT are associated with reduced survival, these should be more widely employed to identify patients at risk of poor prognosis, and allow potentially more effective, early intervention.

Loss of skeletal muscle during systemic chemotherapy is prognostic of poor survival in patients with foregut cancer.

BACKGROUND: Malnutrition, weight loss, and muscle wasting are common in patients with foregut cancers (oesophagus, stomach, pancreas, liver, and bile ducts) and are associated with adverse clinical outcomes. However, little is known about the changes in body composition that occur in these patients during chemotherapy and its impacts clinical outcomes. PATIENTS AND METHODS: A prospective study of adult foregut cancer patients undergoing chemotherapy between 2012 and 2016 was conducted. Computed tomography images were evaluated for cross-sectional skeletal muscle area (SMA) and adipose tissue area (ATA) at two time points [interval 118 days (IQR 92-58 days)]. Longitudinal changes in SMA and ATA were examined using paired t-tests. Sarcopenia and low muscle attenuation (MA) were defined using published cut-points. Cox proportional hazards models were used to estimate mortality hazard ratios for key predictors. RESULTS: A total of 225 foregut cancer patients were included (67% male, median age 66 years). At baseline, 40% were sarcopenic, 49% had low MA, and 62% had cancer cachexia. Longitudinal analysis (n = 163) revealed significant reductions in SMA [-6.1 cm2 (3.9%)/100 days, P < 0.001]. Patients treated with neoadjuvant chemotherapy experienced greater losses in SMA and skeletal muscle mass compared with patients receiving palliative chemotherapy [-6.6 cm2 (95%, confidence interval, CI: -10.2 to -3.1), P < 0.001 and -1.2 kg (95% CI: -1.8 to -0.5), P < 0.001, respectively]. Neither sarcopenia nor low MA at baseline was associated with reduced survival. A loss of SMA >6.0%/100 days (highest fourth) independently predicted overall survival in patients receiving palliative chemotherapy [hazard ratio: 2.66, (95% CI: 1.42 to 4.97), P = 0.002]. CONCLUSIONS: Patients with foregut cancers, particularly those treated with neoadjuvant chemotherapy, experience significant losses of muscle during chemotherapy. A high level of SMA loss is prognostic of reduced survival in patients treated with palliative chemotherapy. Multimodal interventions to stabilize or increase muscle mass and influence outcome warrant further investigation.

Computed tomography diagnosed cachexia and sarcopenia in 725 oncology patients: is nutritional screening capturing hidden malnutrition?

BACKGROUND: Nutrition screening on admission to hospital is mandated in many countries, but to date, there is no consensus on which tool is optimal in the oncology setting. Wasting conditions such as cancer cachexia (CC) and sarcopenia are common in cancer patients and negatively impact on outcomes; however, they are often masked by excessive adiposity. This study aimed to inform the application of screening in cancer populations by investigating whether commonly used nutritional screening tools are adequately capturing nutritionally vulnerable patients, including those with abnormal body composition phenotypes (CC, sarcopenia, and myosteatosis). METHODS: A prospective study of ambulatory oncology outpatients presenting for chemotherapy was performed. A detailed survey incorporating clinical, nutritional, biochemical, and quality of life data was administered. Participants were screened for malnutrition using the Malnutrition Universal Screening Tool (MUST), Malnutrition Screening Tool (MST), and the Nutritional Risk Index (NRI). Computed tomography (CT) assessment of body composition was performed to diagnose CC, sarcopenia, and myosteatosis according to consensus criteria. RESULTS: A total of 725 patients (60% male, median age 64 years) with solid tumours participated (45% metastatic disease). The majority were overweight/obese (57%). However, 67% were losing weight, and CT analysis revealed CC in 42%, sarcopenia in 41%, and myosteatosis in 46%. Among patients with CT-identified CC, the MUST, MST, and NRI tools categorized 27%, 35%, and 7% of them as 'low nutritional risk', respectively. The percentage of patients with CT-identified sarcopenia and myosteatosis that were categorised as 'low nutritional risk' by MUST, MST and NRI were 55%, 61%, and 14% and 52%, 50%, and 11%, respectively. Among these tools, the NRI was most sensitive, with scores <97.5 detecting 85.8%, 88.6%, and 92.9% of sarcopenia, myosteatosis, and CC cases, respectively. Using multivariate Cox proportional hazards models, NRI score < 97.5 predicted greater mortality risk (hazard ratio 1.8, confidence interval: 1.2-2.8, P = 0.007). CONCLUSIONS: High numbers of nutritionally vulnerable patients, with demonstrated abnormal body composition phenotypes on CT analysis, were misclassified by MUST and MST. Caution should be exercised when categorizing the nutritional risk of oncology patients using these tools. NRI detected the majority of abnormal body composition phenotypes and independently predicted survival. Of the tools examined, the NRI yielded the most valuable information from screening and demonstrated usefulness as an initial nutritional risk grading system in ambulatory oncology patients.