Predictive value of multiple variable models including nutritional risk score (NRS 2002) on mortality and length of stay of patients with covid-19 infections. The INCOVO study.

BACKGROUND AND AIMS: This study aimed at evaluating associations between nutritional status and outcomes in patients with Covid-19 and to identify statistical models including nutritional parameters associated with in-hospital mortality and length of stay. METHODS: Data of 5707 adult patients hospitalized in the University Hospital of Lausanne between March 2020 and March 2021 were screened retrospectively 920 patients (35% female) with confirmed Covid-19 and complete data including nutritional risk score (NRS 2002), were included. This cohort was divided into three subgroups: NRS <3: no risk of malnutrition; NRS ≥3 to <5: moderate risk malnutrition; and NRS ≥5: severe risk of malnutrition. The primary outcome was the percentage of in-hospital deaths in the different NRS subgroups. The secondary outcomes were the length of hospital stay (LOS), the percentage of admissions to intensive care units (ICU), and the length of stay in the ICU (ILOS). Logistic regression was performed to identify risk factors associated with in-hospital mortality and hospital stay. Multivariate clinical-biological models were developed to study predictions of mortality and very long length of stay. RESULTS: The mean age of the cohort was 69.7 years. The death rate was 4 times higher in the subgroup with a NRS ≥ 5 (44%), and 3 times higher with a NRS ≥ 3 to <5 (33%) compared to the patients with a NRS<3 (10%) (p < 0.001). LOS was significantly higher in the NRS ≥ 5 and NRS ≥ 3 to <5 subgroups (26.0 days; CI [21; 30.9]; and 24.9; CI [22.5; 27.1] respectively) versus 13.4; CI [12; 14.8] for NRS<3 (p < 0.001). The mean ILOS was significantly higher in the NRS ≥ 5 (5.9 days; versus 2.8 for NRS ≥ 3 to <5, and 1.58 for NRS<3 (p < 0.001)). In logistic regression, NRS ≥ 3 was significantly associated with the risk of mortality (OR: 4.8; CI [3.3; 7.1]; p < 0.001) and very long in-hospital stay (>12 days) (OR: 2.5; CI [1.9; 3.3]; p < 0.001). Statistical models that included a NRS ≥ 3 and albumin revealed to be strong predictors for mortality and LOS (area under the curve 0.800 and 0.715). CONCLUSION: NRS was found to be an independent risk factor for in-hospital death and LOS in hospitalized Covid-19 patients. Patients with a NRS ≥ 5 had a significant increase in ILOS and mortality. Statistical models including NRS are strong predictors for an increased risk of death and LOS.

Nutritional risk and a high NRS2002 score are closely related to disease progression and poor prognosis in patients with COVID-19.

Background: Organism can lead to excessive nutrient consumption in the infected state and increase nutritional risk, which is detrimental to the control of the infection and can further aggravate the disease. Objectives: To investigate the impact of nutritional risk and the NRS2002 score on disease progression and prognosis in patients with COVID-19. Methods: This was a retrospective cohort study including 1,228 COVID-19 patients, who were divided into a with-nutritional risk group (patients with NRS2002 score ≥ 3) and a without-nutritional risk group (patients with NRS2002 score < 3) according to the NRS2002 score at admission. The differences in clinical and outcome data between the two groups were compared, and the relationship between the NRS2002 score and the disease progression and prognosis of COVID-19 patients was assessed. Results: Of 1,228 COVID-19 patients, including 44 critical illness patients and 1,184 non-critical illness patients, the rate of harboring nutritional risk was 7.90%. Compared with those in the without-nutritional risk group, patients in the with-nutritional risk group had a significantly longer coronavirus negative conversion time, significantly lower serum albumin (ALB), total serum protein (TP) and hemoglobin (HGB) at admission, discharge or 2 weeks, a significantly greater proportion with 3 or more comorbidities, and a significantly higher rate of critical illness and mortality (all p < 0.001). Multiple regression analysis showed that nutritional risk, NRS2002 score and ALB at admission were risk factors for disease severity. In addition, nutritional risk, NRS2002 score and TP at admission were risk factors for prognosis. The NRS2002 score showed the best utility for predicting critical illness and death in COVID-19 patients. Conclusion: Nutritional risk and a high NRS2002 score are closely related to disease progression and poor prognosis in COVID-19 patients. For patients with NRS2002 score > 0.5, early intervention of malnutrition is needed to reduce the occurrence of critical disease. Additionally, for patients with NRS2002 score > 5.5, continuous nutritional support therapy is needs to reduce mortality and improve prognosis.Clinical Trial registration: [https://www.chictr.org.cn/historyversionpub.aspx?regno=ChiCTR2000034563], identifier [Chinese Clinical Trial Register ChiCTR2000034563].

Relationship between nutritional status and catheter-related infection in COVID-19 patients

Introduction: Malnutrition is associated with an increased risk of infection, longer hospital stays, and increased mortality [1]. COVID-19 infection is known to require several days or even weeks in hospital care, leading patients to nutritional risk [2]. Catheter-related infection (CRI) is associated with mortality, prolonged stays, and higher hospital costs [3]. Objetive: To assess the relationship between nutritional status (mNUTRIC) and central venous catheter (CVC) infection. Method(s): In this study we included patients admitted to the COVID-19 Intensive Care Unit (UCI) in 2020. Two groups were formed: mNUTRIC <5 (low risk) and mNUTRIC >=5 (high risk). The mNUTRIC score (0-9 points) is based on the NUTRIC score without the inclusion of the IL-6 value. It consists of 5 variables: age, Acute Physiology and Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA), number of comorbidities and days in the hospital before ICU admission [4]. Two groups were formed: positive blood and catheter tip cultures and the group with negative blood cultures. Pearson's chi-squared test was used to assess the relationship between nutritional status (mNUTRIC) and CVC infection. Result(s): Were admitted 51 patients to the ICU with COVID-19, and seven patients were removed from the final dataset due to lack of data. Of a total of 44, 77.3% were male, with ages ranging between 34 and 90 years, with an average of 70.3 years and a mean ICU stay was 15.05 days. With positive blood and catheter tip cultures, CRI was diagnosed in 8 patients (18.2%). There is a significant relationship between the mNUTRIC Score and CRI with chi2 = 5.5, p < .05. Discussion & conclusion: Nutritional status of COVID- 19 patients is undoubtedly related to complications and increased risk of death [5]. The relationship between high nutritional risk, present in 50% of the patients, and the presence of CRI has been statistically proven. The main recommendation after this study is that, through the mNUTRIC score, patients at risk are identified and nutritional intervention and CRI prevention strategies can be implemented early.

Clinical Features and Analysis of Survival in a Sample of Patients Infected with SARS-COV-2 in the Specialized Hospital for Geriatric and Palliative Medicine "November 13" - Skopje

BACKGROUND: New worldwide intensive studies of a new virus called severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) have shown that in its clinical manifestations, the virus has an extremely different expression in different population groups, with age being found to be one of the most common and significant variables. AIM: The objective of this study is to categorize the difference between clinical and laboratory parameters of a sample of patients infected with SARS-COV-2 in the Specialized Hospital for Geriatric and Palliative Medicine "November 13" - Skopje, between survived and deceased patients, impact on the number and severity of comorbidities on the severity of the clinical picture and the survival rate. MATERIALS AND METHODS: In our study, we analyzed data from a sample of 113 patients hospitalized in our institution. The study is cross-sectional and observational, and in the methodology, we analyzed demographic data by gender and age groups, analysis of comorbidities, functional and nutritional status of patients, and risk factors for mortality and survival rate. For this purpose, we used several geriatric scores: Cumulative Illness Rating Scale scale-Geriatric (CIRS-G), degree of functional ability (Bartel), and the Geriatric Nutritional Index (GNRI) score. RESULT(S): The deceased patients had a significantly higher CIRS-G score, while no significant difference in functional (Bartel) and GNRI scores was found. Multivariate regression analysis showed that lymphocytopenia and low saturation were high-risk factors for death in the geriatric population. CONCLUSION(S): Providing hospital-level care for the elderly with SARS-COV-2 contributes to a lower mortality rate. Copyright © 2022 Lidija Veterovska-Miljkovic, Salija Ljatif-Petrushovska, Lazo Jordanovski, Marika Ivanovska, Olivera Bundaleska, Elena Brezovska, Natasha Zdraveska, Emilija Velkova.

Factors Associated with Significant Weight Loss in Hospitalised Patients with COVID-19: A Retrospective Cohort Study in a Large Teaching Hospital.

SARS-CoV-2 infection (COVID-19) is associated with malnutrition risk in hospitalised individuals. COVID-19 and malnutrition studies in large European cohorts are limited, and post-discharge dietary characteristics are understudied. This study aimed to assess the rates of and risk factors for ≥10% weight loss in inpatients with COVID-19, and the need for post-discharge dietetic support and the General Practitioner (GP) prescription of oral nutritional supplements, during the first COVID-19 wave in a large teaching hospital in the UK. Hospitalised adult patients admitted between March and June 2020 with a confirmed COVID-19 diagnosis were included in this retrospective cohort study. Demographic, anthropometric, clinical, biochemical, and nutritional parameters associated with ≥10% weight loss and post-discharge characteristics were described. Logistic regression models were used to identify risk factors for ≥10% weight loss and post-discharge requirements for ongoing dietetic input and oral nutritional supplement prescription. From the total 288 patients analysed (40% females, 72 years median age), 19% lost ≥ 10% of their admission weight. The length of hospital stay was a significant risk factor for ≥10% weight loss in multivariable analysis (OR 1.22; 95% CI 1.08-1.38; p = 0.001). In addition, ≥10% weight loss was positively associated with higher admission weight and malnutrition screening scores, dysphagia, ICU admission, and artificial nutrition needs. The need for more than one dietetic input after discharge was associated with older age and ≥10% weight loss during admission. A large proportion of patients admitted to the hospital with COVID-19 experienced significant weight loss during admission. Longer hospital stay is a risk factor for ≥10% weight loss, independent of disease severity, reinforcing the importance of repeated malnutrition screening and timely referral to dietetics.

A Comparative Study between the Three Waves of the Pandemic on the Prevalence of Oropharyngeal Dysphagia and Malnutrition among Hospitalized Patients with COVID-19.

BACKGROUND: The phenotype of patients affected by COVID-19 disease changed between the waves of the pandemic. We assessed the prevalence of oropharyngeal dysphagia (OD), malnutrition (MN), and mortality between the first three waves of COVID-19 patients in a general hospital. METHODS: a prospective observational study between April 2020-May 2021. Clinical assessment for OD was made with the volume-viscosity swallowing test; nutritional assessment was performed consistent with GLIM criteria. A multimodal intervention was implemented in the second and third wave, including (a) texturized diets-fork mashable (1900 kcal + 90 g protein) or pureed (1700 kcal + 75 g protein), (b) oral nutritional supplements (500-600 kcal + 25-30 g protein), and (c) fluid thickening (250 mPa·s or 800 mPa·s). RESULTS: We included 205 patients (69.3 ± 17.6 years) in the 1st, 200 (66.4 ± 17.5 years) in the 2nd, and 200 (72.0 ± 16.3 years;) in the 3rd wave (p = 0.004). On admission, prevalence of OD was 51.7%, 31.3% and 35.1%, and MN, 45.9%, 36.8% and 34.7%, respectively; mortality was 10.7%, 13.6% and 19.1%. OD was independently associated with age, delirium, and MN; MN, with age, OD, diarrhea and ICU admission; mortality, with age, OD and MN. (4) Conclusions: Prevalence of OD, MN and mortality was very high among COVID-19 patients. OD was independently associated with MN and mortality. An early and proactive multimodal nutritional intervention improved patients' nutritional status.

A modified nutrition risk screening 2002 predicts the risk of death among hospitalized patients with COVID-19.

OBJECTIVES: The aim of this study was to evaluate the ability of a modified Nutrition Risk Screening 2002 (modified NRS) compared with other nutrition screening tools such as NRS 2002, Mini Nutrition Assessment Short Form (MNA-SF), and Malnutrition Universal Screening Tool (MUST) on predicting the risk of death in patients with coronavirus disease 2019 (COVID-19). METHODS: We retrospectively collected data of patients who were admitted to the West campus of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology between January 25th, 2020 to April 24th, 2020. The nutritional status of the patients was assessed by modified NRS, NRS 2002, MNA-SF, and MUST. According to the score of modified NRS, patients were divided into malnutrition risk group (score ≥3) and normal nutrition group (score <3). Clinical characteristics were compared between the two groups. Kaplan meier survival curve was used to analyze the difference of compositing survival rate between the two groups. The predictive efficacy of different nutritional scales on the outcome of death was detected by Receiver operating characteristic (ROC) analysis. RESULTS: The modified NRS, NRS 2002, MNA-SF, and MUST identified malnutrition risk in 71.4%, 57.9%, 73.9%, and 43.4% of the patients, respectively. The patients were divided into malnutrition risk group and normal nutrition group by modified NRS score. Patients in the malnutrition risk group were older (65 y vs. 56 y) and with more severe and critical cases (42.30% vs. 5.20%) and diabetes cases (21.50% vs. 9.80%), worse prognosis (death of 13.80% vs. 0.50%), longer hospital stay (29 days vs. 23 days), lower albumin (31.85 g/L vs. 38.55 g/L) and prealbumin (201.95 mg/L vs. 280.25 mg/L) compared with the normal nutrition group (P were <0.001, respectively). There were more patients with chronic respiratory disease in malnutrition risk group (9.70 vs. 2.10%, P = 0.001). BMI was lower in malnutrition risk group (23.45 kg/m2vs. 24.15 kg/m2, P = 0.017). Kaplan meier survival curve demonstrated that the survival of malnutrition risk group was significantly lower than normal nutrition group (P < 0.001). The area under the ROC curve (AUC) of the modified NRS scale (0.895) outperformed NRS 2002 (0.758), MNA-SF (0.688), and MUST (0.485). The former three scales could predict the risk of death (P were < 0.001), while MUST could not (P = 0.690). CONCLUSIONS: Patients with COVID-19 at risk of malnutrition have a worse prognosis than those with normal nutrition. The modified NRS scale could effectively predict the risk of death among patients with COVID-19.

Geriatric Nutritional Risk Index is related to the risk of stroke-associated pneumonia.

BACKGROUND: Stroke-associated pneumonia (SAP) occurs frequently after a stroke. Geriatric Nutritional Risk Index (GNRI) is a valuable indicator of elderly individuals' nutritional status. This research was designed to obtain insight into the link between GNRI and SAP. METHODS: Patients with acute ischemic stroke (AIS) were categorized into the SAP and non-SAP groups. GNRI scores were divided into four layers: Q1, GNRI < 82; Q2, 82≤ GNRI < 92; Q3, 92≤ GNRI ≤98; Q4, GNRI > 98. To identify the independent risk and protective factors of developing SAP, logistic regression analyses were conducted. Additionally, we utilized the restricted cubic spline (RCS) analysis to test the effect of GNRI on the SAP risk. RESULTS: The SAP group showed lower GNRI scores than the non-SAP group (96.88 ± 9.36 vs. 100.88 ± 8.25, p  <  0.001). According to the logistic regression model, the Q1 and Q2 layers showed a higher risk of SAP than the Q3 layer, while the Q4 layer showed a lower SAP risk (all p < 0.05). Besides, the RCS model found that the risk of SAP dropped dramatically as GNRI scores increased, which got stable when the GNRI score was more significant than 100. CONCLUSION: Lower GNRI scores were linked to a higher prevalence of SAP. In clinical practice, GNRI showed predictive value for SAP, which could be helpful in early SAP intervention and therapy.

Association of Different Malnutrition Parameters and Clinical Outcomes among COVID-19 Patients: An Observational Study.

Background: Malnutrition is highly prevalent in medical inpatients and may also negatively influence clinical outcomes of patients hospitalized with COVID-19. We analyzed the prognostic implication of different malnutrition parameters with respect to adverse clinical outcomes in patients hospitalized with COVID-19. Methods: In this observational study, consecutively hospitalized adult patients with confirmed COVID-19 at the Cantonal Hospital Aarau (Switzerland) were included between February and December 2020. The association between Nutritional Risk Screening 2002 (NRS 2002) on admission, body mass index, and admission albumin levels with in-hospital mortality and secondary endpoints was studied by using multivariable regression analyses. Results: Our analysis included 305 patients (median age of 66 years, 66.6% male) with a median NRS 2002-score of 2.0 (IQR 1.0, 3.0) points. Overall, 44 patients (14.4%) died during hospitalization. A step-wise increase in mortality risk with a higher nutritional risk was observed. When compared to patients with no risk for malnutrition (NRS 2002 < 3 points), patients with a moderate (NRS 2002 3-4 points) or high risk for malnutrition (NRS 2002 ≥ 5 points) had a two-fold and five-fold increase in risk, respectively (10.5% vs. 22.7% vs. 50.0%, p < 0.001). The increased risk for mortality was also confirmed in a regression analysis adjusted for gender, age, and comorbidities (odds ratio for high risk for malnutrition 4.68, 95% CI 1.18 to 18.64, p = 0.029 compared to patients with no risk for malnutrition). Conclusions: In patients with COVID-19, the risk for malnutrition was a risk factor for in-hospital mortality. Future studies should investigate the role of nutritional treatment in this patient population.

COVID-19 NUTRITION AND DISEASE RISK ASSESSMENTS PREDICT MORTALITY IN VETERANS AFFAIRS MEDICAL CENTER ICU

Background: COVID-19 pandemic significantly increases morbidity and mortality in vulnerable veteran populations. This observation cohort study evaluates nutrition risk factors associated with mortality in COVID-19 patients admitted to VA Level 1A complexity ICU. Methods: 508 COVID-19 patients requiring VAMC ICU admission 02/2020-07/2021 were retrospectively reviewed. We hypothesized that Covid19 may cause significant malnutrition. Survivors and mortality cohorts were assessed with five nutrition and physiology risk assessment algorithms: APACHE II, SOFA, ASA, NRI and GNRI, and co-morbidities: age, gender, race, obesity, diabetes, hypertension, coronary disease, and malnutrition. Results: Mortality: 111 of 508 patients (21.85%). Low admission NRI (45.27±2.1) and GNRI (60.73) indicated malnutrition in all patients. Both scores lower in mortality vs. survivors (NRI:42.45±4.1 vs. 46.06±3.49, p≤0.004) (GNRI: 56.4±12.56vs 61.9±25.88, p≤0.003). Nutritional markers lower in mortality vs. survivors: Albumin (2.9±0.5 vs. 3.4±0.6, p≤0.001), total lymphocyte count (1.23±1.8 vs. 2.5±1.9, p≤0.005), Hematocrit (33.2±9.9 vs 38.9±7.4, p≤0.01.) Physiology risk assessment scores were higher in mortality vs survivors: SOFA (4.24±1.73 vs. 2.54±0.88, p≤0.0005), APACHE II (12.3±4.64 vs. 7.19±2.48, p≤0.0002), and ASA (3.86±0.53 vs. 2.9±0.75, p≤0.0003). Comorbidities were higher in mortality vs. survivor: age (72.3±9.5 vs 67.8±12.9y/o, p≤0.001), obesity (87.39% vs. 42.06%, p≤0.04), diabetes (58.5% vs. 47.6%, p≤0.05), Hypertension (34.2% vs 11.58%, p≤0.04), Coronary disease (61.26% vs. 32.74%, p<0.002). No mortality difference between genders: (21.86% male, 21.74% female, p=NS), or races:(21.48%AA, 22.08% W, 22.08 UNK. p=NS) Conclusion: All COVID-19 patients were malnourished on ICU admission. Malnutrition low NRI score, high risk assessment scores, with comorbidities directly predict COVID-19 mortality risk regardless of gender or race. Low NRI scores indicate need for nutritional support to critically ill COVID-19 patients.

Comparison of geriatric nutritional risk index and creatinine index in short-term mortality prediction in maintenance hemodialysis patients.

BACKGROUND: The aim of this study is to analyze and compare the predictive values of the Geriatric Nutritional Risk Index (GNRI) and Creatinine Index (CI) in the short-term mortality of maintenance hemodialysis patients and to determine their best cut-offs. METHODS: A total of 169 adult hemodialysis patients were included in this retrospective, cross-sectional, and single-center study. The demographic, clinical, and laboratory data of the month in which the patients were included in the study were obtained from their medical files and computer records. All-cause death was the primary outcome of the study during a 12-month follow-up after baseline GNRI and CI calculations. RESULTS: The mean age of the study population was 57 ± 16 years (49.7% were women, 15% were diabetic). During the one-year observation period, 19 (11.24%) of the cases died (8 CV deaths). The optimal cut-off value for GNRI was determined as 104.2 by ROC analysis [AUC = 0.682 ± 0.06, (95% CI, 0.549-0.815), p = 0.01]. The low GNRI group had a higher risk for all-cause and CV mortality compared to the higher GNRI group (p = 0.02 for both in log-rank test). The optimal sex-specific cut-off was 12.18 mg/kg/day for men [AUC = 0.723 ± 0.07, (95% CI, 0.574-0.875), p = 0.03] and was 12.08 mg/kg/day for females [AUC = 0.649 ± 0.13, (95% CI, 0.384- 0.914), p = 0.01]. Patients with lower sex-specific CI values had higher all-cause and CV mortality (p = 0.001 and p = 0.009 in log-rank test, respectively). In multivariate cox models, both GNRI [HR = 4.904 (% 95 CI, 1.77-13.56), p = 0.002] and sex-specific CI [HR = 5.1 (95% CI, 1.38-18.9), p = 0.01] predicted all-cause mortality. The association of GNRI with CV was lost [HR = 2.6 (CI 95%, 0.54-13.455), p = 0.22], but low CI had a very strong association with CV mortality [HR = 11.48 (CI 95%, 1.25 -104), p = 0.03]. DISCUSSION: In hemodialysis patients, GNRI and CI have similar powers in predicting all-cause short-term mortality. The association of CI with all-cause death depends on gender. On the other hand, sex-specific CI predicts CV mortality better than GNRI.

Nutritional Risk Assessment Scores Effectively Predict Mortality in Critically Ill Patients with Severe COVID-19.

BACKGROUND: Malnutrition predicts a worse outcome for critically ill patients. However, quick, easy-to-use nutritional risk assessment tools have not been adequately validated. AIMS AND METHODS: The study aimed to evaluate the role of four biological nutritional risk assessment instruments (the Prognostic Nutritional Index-PNI, the Controlling Nutritional Status Score-CONUT, the Nutrition Risk in Critically Ill-NUTRIC, and the modified NUTRIC-mNUTRIC), along with CT-derived fat tissue and muscle mass measurements in predicting in-hospital mortality in a consecutive series of 90 patients hospitalized in the intensive care unit for COVID-19-associated ARDS. RESULTS: In-hospital mortality was 46.7% (n = 42/90). Non-survivors had a significantly higher nutritional risk, as expressed by all four scores. All scores were independent predictors of mortality on the multivariate regression models. PNI had the best discriminative capabilities for mortality, with an area under the curve (AUC) of 0.77 for a cut-off value of 28.05. All scores had an AUC above 0.72. The volume of fat tissue and muscle mass were not associated with increased mortality risk. CONCLUSIONS: PNI, CONUT, NUTRIC, and mNUTRIC are valuable nutritional risk assessment tools that can accurately predict mortality in critically ill patients with COVID-19-associated ARDS.

Geriatric Nutritional Risk Index assessment in elderly patients during the COVID-19 outbreak.

Background and Aims: Globally, coronavirus disease-2019 (COVID-19) is persistent in many countries and presents a major threat to public health. Critically, elderly individuals, especially those with underlying disease, poor nutritional and immune functions, are highly susceptible. Therefore, we analyzed the epidemiological features in elderly COVID-19 patients. Methods: In total, 126 patients were recruited in the Fifth Affiliated Hospital of Sun Yat-sen University, China from January 2020 to March 2020 (including 103 confirmed COVID-19 patients and 23 elderly suspected cases). Epidemiological, demographic, clinical, laboratory, radiological, and treatment data were collected and analyzed. We assessed nutritional risks in elderly patients by calculating the Geriatric Nutritional Risk Index (GNRI). Results: When compared with young patients, elderly patients were more likely to have underlying comorbidities and received nutritional support and intensive care unit treatment. Elderly patients had significantly lower levels of the following: lymphocyte percentages, red blood cell counts, hemoglobin levels, and serum albumin values. When compared with suspected COVID-19 elderly cases, elderly patients had significantly lower red blood cell counts and hemoglobin levels. The average GNRI of suspected cases and confirmed patients indicated no nutritional risk. There were no marked differences in GNRI values between groups. Conclusion: Nutritional risk assessments may provide valuable information for predicting a COVID-19 prognosis, especially in elderly patients. Anemia prevention and management should be actively and timely provided. GNRI is a potentially prognostic factor for hospitalized elderly patients. Moreover, it is also important to follow up discharged patients for continuous nutritional observations.

The modified NUTRIC score (mNUTRIC) is associated with increased 28-day mortality in critically ill COVID-19 patients: Internal validation of a prediction model.

BACKGROUND: High prevalence of malnutrition was found in critically ill COVID-19 patients. The modified Nutrition Risk in the Critically ill (mNUTRIC) score is frequently used for nutritional risk assessment in intensive care unit (ICU) COVID-19 patients. The aim of this study was to investigate the role of mNUTRIC score to predict 28-day mortality in critically ill COVID-19 patients admitted to ICU. METHODS: A cohort of consecutive COVID-19 critically ill patients admitted to ICU was retrospectively evaluated and the nutritional risk was assessed with the use of mNUTRIC score. A multivariable Cox regression model to predict 28-day mortality was therefore developed including the mNUTRIC as a covariate. Internal validation was performed using the bootstrap resampling technique to reduce possible bias in the estimated risks. The performance of the prediction model was assessed via calibration and discrimination. RESULTS: A total of 98 critically ill COVID-19 patients with a median age of 66 years (56-73 IQR), 81 (82.7%) males were included in this study. A high nutritional risk (mNUTRIC ≥5 points) was observed in 41.8% of our critically ill COVID-19 patients while a low nutritional risk (mNUTRIC <5 points) was observed in 58.2%. Forty-five patients (45.9%) died within 28 days after ICU admission. In multivariable model after internal validation, mNUTRIC ≥5 (optimism adjusted HR 2.38, 95% CI 1.08-5.25, p = 0.02) and high-sensitivity C-reactive protein values (CRP) (optimism adjusted HR 1.02, 95% CI 1.01-1.07, p = 0.005) were independent predictors of 28-day mortality. CONCLUSIONS: A high prevalence of malnutrition as revealed by mNUTRIC was found in our critically ill COVID-19 patients once admitted in ICU. After adjustment for covariables, mNUTRIC ≥5 and CRP levels were independently associated with 28-day mortality in critically ill COVID-19 patients. The final model revealed good discrimination and calibration. Nutritional risk assessment is essential for the management of critically ill COVID-19 patients as well as for outcome prediction.

Interplay between Inflammaging, Frailty and Nutrition in Covid-19: Preventive and Adjuvant Treatment Perspectives.

As humans age, their immune system undergoes modifications, including a low-grade inflammatory status called inflammaging. These changes are associated with a loss of physical and immune resilience, amplifying the risk of being malnourished and frail. Under the COVID-19 scenario, inflammaging increases the susceptibility to poor prognostics. We aimed to bring the current concepts of inflammaging and its relationship with frailty and COVID-19 prognostic; highlight the importance of evaluating the nutritional risk together with frailty aiming to monitor older adults in COVID-19 scenario; explore some compounds with potential to modulate inflammaging in perspective to manage the COVID-19 infection. Substances such as probiotics and senolytics can help reduce the high inflammatory status. Also, the periodic evaluation of nutrition risk and frailty will allow interventions, assuring the appropriate care.

Geriatric Nutritional Risk Index in a group of elderly patients hospitalized for SARS-CoV-2 pneumonia: A retrospective study about correlation with intra-hospital mortality rate and length of hospitalisation

Background and Aim: In medical literature, numerous anthropometric assessment methods and nutritional status assessment scales have been used to identify elderly patients at risk of malnutrition. The Geriatric Nutritional Risk Index (GNRI) is a relatively recent nutritional index used to estimate the risk of nutritionally related morbidity and mortality in hospitalized elderly patients. The purpose of this study is to assess the association between reduced GNRI (cutoff=98) and the basic functional status of the patient with intrahospital mortality rate for all causes or prolonged hospital stay in a group of elderly patients with SARS-CoV-2 pneumonia. Materials and Methods: Retrospective study of 77 elderly patients (>= 70 years old) hospitalized for SARS-CoV-2 pneumonia;for each patient GNRI was calculated and the basic functional level of the patient was considered, according to the Barthel index from the nursing card. Results: In elderly patients with SARS-CoV-2 moderate or severe pneumonia, mortality rate is higher in patients with reduced GNRI, though in our study this data doesn't reach the statistical significance. The average length of hospitalisation is slightly higher in patient with reduced GNRI. Conclusions: In this retrospective study, mortality rate is higher in elderly patients with SARS-CoV-2 pneumonia and reduced GNRI, a data in line with medical literature about GNRI.

The reorganisation of nutritional assessment and care in a hospital that became a COVID centre during the COVID-19 pandemic.

In the early months of 2020, Europe was confronted by a pandemic that originated in China, which initially affected its territories in different ways. Parts of northern Italy were among the regions most affected. At the same time, Ticino, a small canton of Switzerland geographically wedged into Italian territory, had an incidence rate comparable to that of hard-hit Lombardy. Home to 350,000 inhabitants and separated from the rest of Switzerland by the Alps, Ticino had to face the first part of the pandemic with little available knowledge. The cantonal authorities decided to transform two active hospitals into COVID centres, concentrating all coronavirus patients there. Since the virus was new and there were no clear guidelines for managing it, the nutritional team on site had to reorganise to provide patient care, adapting their strategy to accommodate the evolution of the pandemic and growing medical knowledge. This paper explains how one of these teams developed a model to deal with the first wave of COVID, maintaining it during the second and current third wave of the pandemic.

Prevalence of nutritional risk and malnutrition during and after hospitalization for COVID-19 infection: Preliminary results of a single-centre experience.

BACKGROUND & AIMS: The effect of the COVID-19 infection on nutritional status is not well established. Worldwide epidemiological studies have begun to investigate the incidence of malnutrition during hospitalization for COVID-19. The prevalence of malnutrition during follow-up after COVID-19 infection has not been investigated yet. The primary objective of the present study was to estimate the prevalence of the risk of malnutrition in hospitalized adult patients with COVID-19, re-evaluating their nutritional status during follow-up after discharge. The secondary objective was to identify factors that may contribute to the onset of malnutrition during hospitalization and after discharge. METHODS: We enrolled 142 COVID-19 patients admitted to Careggi University Hospital. Nutritional parameters were measured at three different timepoints for each patient: upon admission to hospital, at discharge from hospital and 3 months after discharge during follow-up. The prevalence of both the nutritional risk and malnutrition was assessed. During the follow-up, the presence of nutritional impact symptoms (NIS) was also investigated. An analysis of the association between demographic and clinical features and nutritional status was conducted. RESULTS: The mean unintended weight loss during hospitalization was 7.6% (p < 0.001). A positive correlation between age and weight loss during hospitalization was observed (r = 0.146, p = 0.08). Moreover, for elderly patients (>61 years old), a statistically significant correlation between age and weight loss was found (r = 0.288 p = 0.05). Patients admitted to an Intensive Care Unit (ICU) or Intermediate Care Unit (IMCU) had a greater unintended weight loss than patients who stayed in a standard care ward (5.46% vs 1.19%; p < 0.001). At discharge 12 patients were malnourished (8.4%) according to the ESPEN definition. On average, patients gained 4.36 kg (p < 0.001) three months after discharge. Overall, we observed a weight reduction of 2.2% (p < 0.001) from the habitual weight measured upon admission. Patients admitted to an ICU/IMCU showed a higher MUST score three months after discharge (Cramer's V 0.218, p = 0.035). With regard to the NIS score, only 7 patients (4.9%) reported one or more nutritional problems during follow-up. CONCLUSIONS: The identification of groups of patients at a higher nutritional risk could be useful with a view to adopting measures to prevent worsening of nutritional status during hospitalization. Admission to an ICU/IMCU, age and length of the hospital stay seem to have a major impact on nutritional status. Nutritional follow-up should be guaranteed for patients who lose more than 10% of their habitual weight during their stay in hospital, especially after admission to an ICU/IMCU.

COVID-19 is associated with oropharyngeal dysphagia and malnutrition in hospitalized patients during the spring 2020 wave of the pandemic.

BACKGROUND & AIMS: Prevalence and complications of oropharyngeal dysphagia (OD) and malnutrition (MN) in COVID-19 patients is unknown. Our aim was to assess the prevalence, risk factors and clinical outcomes of OD and MN in a general hospital during the first wave of the COVID-19 pandemic. METHODS: This was a prospective, observational study involving clinical assessment of OD (Volume-Viscosity Swallowing Test), and nutritional screening (NRS2002) and assessment (GLIM criteria) in COVID-19 patients hospitalized in general wards at the Consorci Sanitari del Maresme, Catalonia, Spain. The clinical characteristics and outcomes of patients were assessed at pre-admission, admission and discharge, and after 3 and 6-months follow-up. RESULTS: We included 205 consecutive patients (69.28 ± 17.52 years, Charlson 3.74 ± 2.62, mean hospital stay 16.8 ± 13.0 days). At admission, Barthel Index was 81.3 ± 30.3; BMI 28.5 ± 5.4 kg/m2; OD prevalence 51.7% (44.1% impaired safety of swallow); and 45.5% developed MN with a mean weight loss of 10.1 ± 5.0 kg during hospitalization. OD was an independent risk factor for MN during hospitalization (OR 3.96 [1.45-10.75]), and hospitalization was prolonged in patients with MN compared with those without (21.9 ± 14.8 vs 11.9 ± 8.9 days, respectively; p < 0.0001). OD was independently associated with comorbidities, neurological symptoms, and low functionality. At 6-month follow-up, prevalence of OD was still 23.3% and that of MN only 7.1%. Patients with OD at discharge showed reduced 6-month survival than those without OD at discharge (71.6% vs 92.9%, p < 0.001); in contrast, those with MN at discharge did not show 6-month survival differences compared to those without (85.4% vs 83.8%, p = 0.8). CONCLUSIONS: Prevalence and burden of OD and MN in patients hospitalized in COVID-19 wards is very high. Our results suggest that optimizing the management of MN might shorten the hospitalization period but optimizing the management of OD will likely impact the nutritional status of COVID-19 patients and improve their clinical outcomes and survival after hospital discharge. CLINICALTRIALS: gov Identifier: NCT04346212.

Nutritional parameters associated with prognosis in non-critically ill hospitalized COVID-19 patients: The NUTRI-COVID19 study.

BACKGROUND & AIMS: To investigate the association between the parameters used in nutritional screening assessment (body mass index [BMI], unintentional weight loss [WL] and reduced food intake) and clinical outcomes in non-critically ill, hospitalized coronavirus disease 2019 (COVID-19) patients. METHODS: This was a prospective multicenter real-life study carried out during the first pandemic wave in 11 Italian Hospitals. In total, 1391 patients were included. The primary end-point was a composite of in-hospital mortality or admission to ICU, whichever came first. The key secondary end-point was in-hospital mortality. RESULTS: Multivariable models were based on 1183 patients with complete data. Reduced self-reported food intake before hospitalization and/or expected by physicians in the next days since admission was found to have a negative prognostic impact for both the primary and secondary end-point (P < .001 for both). No association with BMI and WL was observed. Other predictors of outcomes were age and presence of multiple comorbidities. A significant interaction between obesity and multi-morbidity (≥2) was detected. Obesity was found to be a risk factor for composite end-point (HR = 1.36 [95%CI, 1.03-1.80]; P = .031) and a protective factor against in-hospital mortality (HR = 0.32 [95%CI, 0.20-0.51]; P < .001) in patients with and without multiple comorbidities, respectively. Secondary analysis (patients, N = 829), further adjusted for high C-reactive protein (>21 mg/dL) and LDH (>430 mU/mL) levels yielded consistent findings. CONCLUSIONS: Reduced self-reported food intake before hospitalization and/or expected by physicians in the next days since admission was associated with negative clinical outcomes in non-critically ill, hospitalized COVID-19 patients. This simple and easily obtainable parameter may be useful to identify patients at highest risk of poor prognosis, who may benefit from prompt nutritional support. The presence of comorbidities could be the key factor, which may determine the protective or harmful role of a high body mass index in COVID-19.