UNASSIGNED: Patients with nasopharyngeal carcinoma are notably susceptible to high nutritional risks. If not addressed, this susceptibility can lead to malnutrition, resulting in numerous adverse clinical outcomes. Despite the significance of this issue, there is limited comprehensive research on the topic.
UNASSIGNED: The objective of our study was to identify nutritional risk factors in patients with nasopharyngeal carcinoma.
UNASSIGNED: For this cross-sectional study, we recruited a total of 377 patients with nasopharyngeal carcinoma. The Nutritional Risk Screening 2002 tool was used to assess their nutritional risk. These patients were divided into a well-nourished group (n = 222) and a nutritional risk group (n = 155). Potential risk factors were screened out using univariate analysis (p < 0.1). These factors were subsequently analyzed with multivariate logistic regression analysis (p < 0.05) to identify the nutritional risk factors for these patients.
UNASSIGNED: Our findings indicated that increasing age (OR = 1.085, 95%CI: 1.053-1.117, p < 0.001), high number of radiation treatments (OR = 1.103, 95%CI: 1.074-1.132, p < 0.001), low BMI (OR = 0.700, 95%CI: 0.618-0.793, p < 0.001), and low albumin levels (OR = 0.852, 95%CI: 0.789-0.921, p < 0.001) are significant nutritional risk factors in patients with nasopharyngeal carcinoma.
UNASSIGNED: Increasing age, high number of radiation treatments, low BMI, and low albumin levels are significant nutritional risk factors in patients with nasopharyngeal carcinoma.

Malnutrition is common among severe patients with coronavirus disease 2019 (COVID-19), mainly elderly adults and patients with comorbidities. It is also associated with atypical presentation of the disease. Despite the possible contribution of malnutrition to the acquisition and severity of COVID-19, it is not clear which nutritional screening measures may best diagnose malnutrition in these patients at early stages. This is of crucial importance given the urgency and rapid progression of the disease in vulnerable groups. Accordingly, this review examines the available literature for different nutritional screening approaches implemented among COVID-19 patients, with a special focus on elderly adults. After a literature search, we selected and scrutinized 14 studies assessing malnutrition among COVID-19 patients. The Nutrition Risk Screening 2002 (NRS-2002) has demonstrated superior sensitivity to other traditional screening measures. The controlling nutritional status (CONUT) score, which comprises serum albumin level, cholesterol level, and lymphocytes count, as well as a combined CONUT-lactate dehydrogenase-C-reactive protein score expressed a predictive capacity even superior to that of NRS-2002 (0.81% and 0.92% vs. 0.79%) in midlife and elder COVID-19 patients. Therefore, simple measures based on routinely conducted laboratory investigations such as the CONUT score may be timely, cheap, and valuable alternatives for identifying COVID-19 patients with high nutritional risk. Mini Nutritional Assessment (MNA) was the only measure used to detect residual malnutrition and high malnutrition risk in remitting patients-MNA scores correlated with hypoalbuminemia, hypercytokinemia, and weight loss. Older males with severe inflammation, gastrointestinal symptoms, and pre-existing comorbidities (diabetes, obesity, or hypertension) are more prone to malnutrition and subsequently poor COVID-19 prognosis both during the acute phase and during convalescence. Thus, they are in need of frequent nutritional monitoring and support while detecting and treating malnutrition in the general public might be necessary to increase resilience against COVID-19.

The Global Leadership Initiative on Malnutrition (GLIM) has developed new criteria for diagnosing patients with malnutrition. The aims of this study were to investigate the prevalence of malnutrition according to the GLIM criteria, Subjective Global Assessment (SGA), and Nutrition Risk Screening 2002 (NRS-2002) and their association with long-term mortality in patients hospitalized for acute illnesses.
A retrospective analysis was performed in a sample of 231 patients with different comorbidities hospitalized for acute illnesses in medical or surgical wards. Nutrition status was retrospectively assessed with GLIM criteria using patients\' records at admission in addition to SGA and NRS-2002. The agreement between the tools was calculated using κ statistics, and the association of malnutrition according to each tool and mortality were analyzed using Cox regression analysis.
The mean age of the patients was 62.2 ± 18.2 years, and 56.7% were women. The prevalence of malnutrition was 35.9% with GLIM criteria, 37.2% with SGA, and 38% with NRS-2002. The agreement between tools was good (GLIM-SGA, κ = 0.804; GLIM-NRS-2002, κ = 0.784). During a median follow-up period of 63.2 months, 79 deaths occurred. The sensitivity in predicting 5-year mortality was 59.49%, 58.23%, and 58.23%, and specificity was 76.32%, 73.68%, and 72.37% for GLIM criteria, SGA, and NRS-2002, respectively. After adjusting for confounders, GLIM criteria best predicted 5-year mortality (hazard ratio, 3.09; 95% CI, 1.96-4.86; P < .001).
Our findings support the effectiveness of GLIM in diagnosing malnutrition and predicting all-cause mortality among patients hospitalized for acute illnesses.