Introduction:Malnutrition affects an average of 20-80% of cancer patients, leading to an impaired healing process, increased infection rates and hospital costs, and negative impacts on clinical results. Oral nutritional supplements (ONS) help to increase the patients caloric and protein supplies, promoting recovery of nutritional status. In order to have good adherence to the ONS, it is necessary that the multidisciplinary team assigned is aligned with regard to the information transferred to the patient. Objectives: This study aimed to assess the technical knowledge about oral nutritional therapy (ONT) among physicians and the nursing staff at a private institution. Materials and Methods: This was a descriptive cross-sectional study. The physicians and residents as well as the nursing staff who work in clinical patient care were invited to answer a semi-structured questionnaire to assess their technical knowledge regarding ONT. Results: This study evaluated 105 professionals. Most physicians and nursing staff stated that ONS is a food supplement. Although they reported not having had technical training on the subject, most of them felt capable of prescribing and providing guidance participants neglected symptoms and conditions relevant to the nutritional status of the patient, such ascites, enteral nutritional therapy and home parenteral nutrition, concomitant chemotherapy/radiotherapy, and emesis. Conclusion: Information about ONS among medical and nursing professionals varies greatly. Interdisciplinary technical training is essential for the success of ONT as a tool for preventing and combating malnutrition.

Introduction: Nutritional status is one of the independent factors that most influence postoperative outcomes in elective colorectal surgeries. Adequate muscle mass and strength contribute to the reduction of complications and can be evaluated in the preoperative period as prognostic markers. Objective: To compare lean mass (LM) with muscle strength (MS) in patients with colorectal cancer in the preoperative period. Methods: A retrospective study carried out with 87 patients from the nutrition clinic of the A. C. Camargo Cancer Center Hospital. Dynamometry was used to assess MS and bioelectrical impedance analysis (BIA) was used to assess LM. Results: Most of the results were male (51.7%) with a mean age of 60.7 years. The most prevalent Body Mass Index (BMI) classification was normal weight (50.6%) and the sample showed a higher prevalence of resistant LM and MS (70.1% and 67.8%, respectively). Only 9.2% of the sample presented both MS and LM inadequate. LM was significantly associated with age (p=0.011), BMI (p<0.001), phase angle (PA) (p=0.016) and oncological diagnosis (p=0.042). MS was significantly associated only with age (p<0.001) and PA (p=0.036). LM showed no significant association with MS (p=1.00). Conclusion: This study did not notice an association between lean mass and muscle strength in patients with colorectal cancer. More prospective nutritional therapy is needed to understand this relationship, although both measures can be directed to clinical practice for the most appropriate therapy.

Background Malnutrition in pediatric oncology inpatients can cause several complications, and the early identification of inpatients at nutritional risk with screening tool is crucial. Objective The aim of this study was to evaluate StrongKids and SGNA in order to analyze their performance and efficacy in pediatric inpatients undergoing oncological treatment and compare with objective assessment. Materials and Methods This was a cross-sectional study with pediatric oncology inpatients, of both sexes, admitted to A.C. Camargo Cancer Center. Data collection was conducted during the first hospital admission appointment, when StrongKids and SGNA were applied, and anthropometric data were collected. Results Sixty inpatients with an average age of 8.49 years old were evaluated, and 21,6% inpatients were diagnosed with malnutrition. SGNA and StrongKids shows a sensitivity of 92.3% and 84.6%, respectively. In the comparison of both tools, an adequate accuracy of 81.67% was detected. In addition, a significant kappa (κ) value was obtained (p = 0.021) for the evaluation comparing SGNA and the objective assessment, showing reasonable concordance (κ = 0.235). Conclusion Both nutritional screening tools showed a good performance with respect to sensitivity, compared with the objective assessment. Neither method showed a satisfactory accuracy when applied to pediatric oncology inpatients.