Early nutritional risk detection and intervention in COVID-19 hospitalized patients through the implementation of electronic automatized alarms.

INTRODUCTION: Hospitalized COVID-19 patients may present acute malnutrition which could influence morbidity and mortality. In the first wave of the pandemic severe weight loss was observed in many hospitalized patients. This pilot study evaluates the usefulness of an electronic automatized alarm for the early quantification of a low food intake as a predictor of the risk of malnutrition using COVID-19 disease as a model of severe illness. METHODS: Observational prospective nutritional screening with a daily automatized warning message to the Endocrinology and Nutrition Service provided by the Information Systems. All adult patients admitted for COVID-19 from November 2020 to February 2021 were included. When diet intake was <50% during consecutive 48h, an automated message was generated identifying the patient as "at nutritional risk (NR)" and additional specialist nutritional evaluation and therapy was performed within the next 24h. RESULTS: 205 patients out of 1176 (17.4%) were detected by automatized alarm and were considered as presenting high NR; 100% were concordant by the validated nutritional screening SNAQ. Nutritional support after detection was: 77.6% dietary adaptation+oral supplements; 9.3% enteral nutrition (EN); 1.5% parenteral nutrition (PN); 1% EN+PN and 10.7% no intervention is performed due to an end-of-life situation. Median weight loss during admission was 2.5kg (p25 0.25-p75: 6kg). Global mortality was 6.7% while in those detected by automatized alarm was 31.5%. CONCLUSIONS: The implementation of an electronic NR screening tool was feasible and allowed the early nutritional assessment and intervention in COVID-19 hospitalized patients and can be useful in patients hospitalized for other pathologies.

Impact of COVID-19 on nutritional status during the first wave of the pandemic.

BACKGROUND & AIMS: Patients affected by COVID-19 may develop disease related malnutrition (DRM) due to the catabolic situation, symptoms that interfere with intake and prolonged hospital stay. This study aims to know the percentage of patients admitted for COVID-19 who required artificial nutrition (AN), their clinical characteristics, as well as the prevalence of DRM and the risk of sarcopenia at hospital discharge and after 6 months. MATERIAL AND METHODS: Observational, prospective study, with successive inclusion of adult patients admitted for COVID-19 in whom institutional nutritional support (NS) care protocol was applied. Those who received AN underwent a nutritional screening by Short Nutritional Assessment Questionnaire (SNAQ) and an assessment by Subjective Global Assessment (SGA) at hospital discharge, as well as a screening for sarcopenia (SARC-F test) and SNAQ re-test 15 days and 6 months after by a phone call. Symptoms related to food intake, anthropometric and analytical data were also collected. RESULTS: We evaluated 936 patients with a mean age of 63.7 ± 15.3 years; predominantly male (59.7%), overweight 41%, obesity 40.4%; hypertension 52.9%; diabetes mellitus 26.6% and cancer 10.4%. The stay hospital length was 17.3 ± 13.8 days and 13.6% patients died during hospitalization. The modality of nutritional support was: 86.1% dietary adaptation + oral nutritional supplements (ONS); 12.4% enteral nutrition (EN) by nasogastric (NG) tube; 0.9% parenteral nutrition (PN) and 0.6% EN plus PN. Focusing on patients who received AN, follow-up post discharge was possible in 62 out of 87 who survived. Of these, at the time of hospital discharge, 96.7% presented nutritional risk by SNAQ and 100% malnutrition by SGA (20% B; 80% C). During admission, 82.3% presented intense anorexia and the mean weight loss was 10.9 ± 6 Kg (p < 0.001). Fifteen days after being discharged, 12.9% still had anorexia, while hyperphagia appeared in 85.5% of the patients and risk of sarcopenia by SARC-F was present in 87.1% of them. Six months after discharge, 6.8% still had anorexia and 3.4% hyperphagia, with a global weight gain of 4.03 ± 6.2 Kg (p=<0.0001). Risk of malnutrition was present in only 1.7% of the patients, although risk of sarcopenia persisted in 49.2%. CONCLUSION: All patients admitted by COVID-19 for whom EN or PN were indicated following an institutional protocol still presented malnutrition at hospital discharge, and almost all showed risk of sarcopenia, that persisted in almost half of them at 6 months. These findings suggest that nutritional and functional problems persist in these patients after discharge, indicating that they require prolonged nutritional support and monitoring.

NUTRISCORE: A new nutritional screening tool for oncological outpatients.

OBJECTIVES: The aim of this study was to design a new nutritional screening tool (NUTRISCORE) to detect nutritional risk in outpatients with cancer. METHODS: A multicenter, cross-sectional study was conducted. We randomly selected outpatients receiving onco-specific, palliative, or symptomatic treatment for malignant neoplasms (including solid tumors and hematologic malignancies). These patients were assessed using the NUTRISCORE tool, the Malnutrition Screening Tool (MST), and the Patient-Generated Subjective Global Assessment (PG-SGA) to detect risk for malnutrition. The new tool included questions regarding the cancer site and active treatment. Sensitivity, specificity, and positive and negative predictive values were calculated for NUTRISCORE and MST using the PG-SGA as a reference method. RESULTS: We evaluated 394 patients. According to NUTRISCORE, 22.6% were at risk for malnutrition. The MST detected a risk in 28.2%, and the PG-SGA found that 19% were malnourished or at nutritional risk. Using the PG-SGA as a reference method, the MST had a sensitivity of 84% and a specificity of 85.6%, whereas NUTRISCORE exceeded these values, at 97.3% sensitivity and 95.9% specificity. The better performance of NUTRISCORE as compared with MST was confirmed by the receiver operating characteristic curve analysis, with area under the curve values of 0.95 (95% confidence interval, 0.92-0.98) for NUTRISCORE and 0.84 (95% confidence interval, 0.79-0.89) for the MST. CONCLUSIONS: NUTRISCORE has been found to be a novel, fast, and valid nutritional screening tool for outpatients with cancer. Its simplicity and high level of accuracy in detecting nutritional risk facilitates its applicability.