During the follow-up of patients with Alzheimer disease, risk factors for these 2 modes of weight loss should be sought to identify patients who would benefit from a nutritional intervention. Our findings lead us to advocate follow-up, which involves an assessment of functional, nutritional, and neuropsychologic status every 6 mo.

Purpose Older patients with colon cancer (CC) are vulnerable to chemotherapy toxicity and death. Establishing simple scores specific for patients with CC to predict severe chemotoxicity or early death is needed to select the best treatment strategy. Subjects, Materials, and Methods This prospective multicenter study included patients aged ≥70 years with CC receiving adjuvant or first‐line metastatic chemotherapy. Frailty markers (nutrition, physical activity, energy, mobility, strength), comprehensive geriatric assessment (functional status, comorbidities, falls, nutrition, cognition, and depression), and usual laboratory parameters were collected. Logistic or Cox regression was used to examine at 500 days the association between frailty markers, comprehensive geriatric assessment, laboratory parameters, and grade 3–4 toxicity or death. Results A total of 97 patients (median age, 79.0 years) received adjuvant (37.1%) or metastatic (62.9%) chemotherapy. During the first 500 days, grade 3–4 toxicity occurred in 49.5%, and 30% died. The predictive model for grade 3–4 toxicity combined (polychemotherapy × 3) + (hypoalbuminemia <32 g/L × 2) + (abnormal grip strength × 1.5) + C‐reactive protein >11 mg/L + Eastern Cooperative Oncology Group performance status (ECOG‐PS), cutoff score >3. The predictive model for death combined (metastasis × 5) + (age × 2) + alkaline phosphatase >100 IU/mL + sex (female) + abnormal grip strength + ECOG‐PS, cutoff score >6. For chemotoxicity prediction, sensitivity was 81.6% and specificity 71.4%. For death prediction, sensitivity was 89.7% and specificity was 83.6%. Conclusion These simple and efficient “ColonPrediscores” will help to better identify older patients with CC with increased risk of chemotherapy‐related toxicity and/or death. Implications for Practice The two scores assessed in this study, called “ColonPrediscores”, offer a major advantage in that they do not need a previous complete geriatric assessment, which makes them an easy‐to‐use tool in oncologic settings.

Background Nutritional impairment is common in cancer patients and is associated with poor outcomes. Only few studies focused on cachexia. We assessed the prevalence of cachexia in older cancer patients, identified associated risk factors, and evaluated its impact on 6 month overall mortality. Methods A French nationwide cross‐sectional survey (performed in 55 geriatric oncology clinics) of older cancer patients aged ≥70 referred for geriatric assessment prior to treatment choice and initiation. Demographic, clinical, and nutritional data were collected. The first outcome was cachexia, defined as loss of more than 5% of bodyweight over the previous 6 months, or a body mass index below 20 kg/m2 with weight loss of more than 2%, or sarcopenia (an impaired Strength, Assistance with walking, Rise from chair, Climb stairs and Falls score) with weight loss of more than 2%. The second outcome was 6 month overall mortality. Results Of the 1030 patients included in the analysis [median age (interquartile range): 83 (79–87); males: 48%; metastatic cancer: 42%; main cancer sites: digestive tract (29%) and breast (16%)], 534 [52% (95% confidence interval: 49–55%)] had cachexia. In the multivariate analysis, patients with breast (P < 0.001), gynaecologic (P < 0.001), urinary (P < 0.001), skin (P < 0.001), and haematological cancers (P = 0.006) were less likely to have cachexia than patients with colorectal cancer. Patients with upper gastrointestinal tract cancers (including liver and pancreatic cancers; P = 0.052), with previous surgery for cancer (P = 0.001), with metastases (P = 0.047), poor performance status (≥2; P < 0.001), low food intake (P < 0.001), unfeasible timed up‐and‐go test (P = 0.002), cognitive disorders (P = 0.03) or risk of depression (P = 0.005), were more likely to have cachexia. At 6 months, 194 (20.5%) deaths were observed. Cachexia was associated with 6 month mortality risk (adjusted hazard ratio = 1.49; 95% confidence interval: 1.05–2.11) independently of age, in/outpatient status, cancer site, metastatic status, cancer treatment, dependency, cognition, and number of daily medications. Conclusions More than half of older patients with cancer managed in geriatric oncology clinics had cachexia. The factors associated with cachexia were upper gastrointestinal tract cancer, metastases, poor performance status, poor mobility, previous surgery for cancer, cognitive disorders, a risk of depression, and low food intake. Cachexia was independently associated with 6 month mortality.

During the follow-up of patients with Alzheimer disease, risk factors for these 2 modes of weight loss should be sought to identify patients who would benefit from a nutritional intervention. Our findings lead us to advocate follow-up, which involves an assessment of functional, nutritional, and neuropsychologic status every 6 mo.