A Correlation Analysis between the Nutritional Status and Prognosis of COVID-19 Patients

Malnutrition independently predicts mortality at 18 months in patients hospitalised for severe acute respiratory syndrome corona virus 2 (SARS-coV-2)

RATIONALE

To investigate the association between malnutrition and patient outcome following hospitalisation for Corona Virus Disease 2019 (COVID-19).

METHODS

In April 2020, 268 adult patients (235 included in the follow-up) hospitalised for COVID-19 infection were evaluated for malnutrition risk and diagnosis using modified Nutritional Risk Screening 2002 and modified Global Leadership Initiative on Malnutrition criteria (GLIM), respectively. An 18-month follow-up was carried out to assess the incidence and the associated risk factors for death and re-hospitalization.

RESULTS

The outcome was unknown for 33 patients. Death occurred in 39% of the 235 patients included in the follow-up. The risk of death was independently associated with malnutrition risk or diagnosis of malnutrition, whereas the male sex showed a protective association. The Kaplan-Meier survival curves showed that patients with diagnosis of malnutrition had lower survival rate. The re-hospitalization rate was 31% and was negatively associated with BMI≥25, and positively associated with length of hospitalisation for COVID-19 and with cancer comorbidity.

CONCLUSIONS

In hospitalized patients for SARS-CoV-2 disease, both malnutrition risk (p = 0.050) and diagnosis of malnutrition (p = 0.047 with modified GLIM and C-reactive protein >0.5 mg/dL; p = 0.024 with modified GLIM and C-reactive protein >5 mg/dL) were predictive risk factors for mortality, whereas male sex was associated with lower risk of death. Overweight at time of hospitalization and the length of hospitalisation were respectively protective and risk factor for re-hospitalization after discharge.

High risk of malnutrition among hospitalised coronavirus disease 2019 (COVID-19) patients is associated with mortality and other clinical outcomes

INTRODUCTION

Increasing evidence indicates an association between nutritional status and Coronavirus disease 2019 (COVID-19) disease severity. The aim of the study was to describe the risk of malnutrition, body mass index (BMI) and vitamin D status of hospitalised COVID-19 patients and assess whether they are associated with duration of hospital stay, intensive care unit (ICU) admission, mechanical ventilation, and mortality.

METHODS

The study is a descriptive retrospective study of 273 patients with COVID-19 admitted to Hospital from February 2020 to March 2021. Patients were screened for risk of malnutrition using a validated screening tool. BMI was calculated from height and weight. Insufficient Vitamin D status was defined as 25(OH)vitD <50 nmol/L. Logistic regression analysis was used to assess the association between indicators of nutritional status of patients with COVID-19, and outcomes such as duration of stay >7 days, ICU admission, mechanical ventilation, and mortality. Interaction between risk of malnutrition and BMI of ≥30 kg/m2 was assessed using the likelihood ratio test with hospital stay, ICU admission, mechanical ventilation, and mortality as outcomes.

RESULTS

Screening for risk of malnutrition identified 201 (74%) patients at a medium to high risk of malnutrition. Patients defined as being at a medium or high risk of malnutrition were more likely to be hospitalised for >7 days compared to those defined as low risk (OR: 10.72; 95% CI: 3.9-29.46; p < 0.001 and OR: 61.57; 95% CI: 19.48-194.62; p < 0.001, respectively). All patients who were admitted to ICU (n = 41) and required mechanical ventilation (n = 27) were defined as having medium or high risk of malnutrition. High risk of malnutrition was also associated with increased odds of mortality (OR: 8.87; 955 CI 1.08-72,96; p = 0.042). BMI of ≥30 kg/m2 (43%) and 25(OH)vitD <50 nmol/L (20%) were not associated with duration of stay >7 days or mortality, although BMI ≥30 kg/m2 was associated with increased risk of ICU admission (OR: 7.12; 95% CI: 1.59-31.94; p = 0.010) and mechanical ventilation (OR: 8.86; 95% CI: 1.12-69.87; p = 0.038). Interactions between risk of malnutrition and BMI ≥30 kg/m2 were not significant to explain the outcomes of hospital stay >7 days, ICU admission, mechanical ventilation, or mortality.

CONCLUSION

High risk of malnutrition among hospitalised COVID-19 patients was associated with longer duration of hospital stay, ICU admission, mechanical ventilation and mortality, and BMI ≥30 kg/m2 was associated with ICU admission and mechanical ventilation. Insufficient Vitamin D status was not associated with duration of hospital stay, ICU admission, mechanical ventilation, or mortality.

The CONUT score predicts the length of hospital stay and the risk of long COVID

Introduction

Objective: the Controlling Nutritional Status (CONUT) score is an objective tool widely used to assess nutritional status of patients. We aimed to investigate the value of CONUT score on predicting length of hospital stay (LOS) and the risk of long COVID in patients with COVID-19. Methods: a total of 151 patients with COVID-19 were enrolled for analysis. Patients were followed up for two years from three months after the onset of SARS-CoV-2 infection. CONUT score was calculated on admission. The correlation between CONUT score and LOS were assessed by Spearman's rank correlation coefficient and multivariate linear analysis. The association between different CONUT grade and long COVID was evaluated by Kaplan-Meier survival curves with log-rank test and Cox proportional hazard models. Results: Spearman's rank correlation coefficient showed that CONUT scores were positively correlated with LOS (r = 0.469, p < 0.001). Multivariate linear analysis showed that CONUT score is the only independent determinant of LOS (B 2.055, 95 % CI: 1.067-3.043, p < 0.001). A total of 53 (35.10 %) patients with long COVID were identified. Kaplan-Meier cumulative survival curves and Cox proportional hazards analyses showed that the incidence of long COVID in patients with a higher CONUT score was significantly higher than in patients with lower CONUT score (p < 0.001). Conclusions: higher CONUT score predicts longer LOS and the risk of long COVID in patients with COVID-19. The CONUT score might be useful for risk stratification in COVID-19 patients and help to develop new nutritional treatment strategies for long COVID.

New research for detecting complex associations between variables with randomness

Many correlation analysis methods can capture a wide range of functional types of variables. However, the influence of uncertainty and distribution status in data is not considered, which leads to the neglect of the regularity information between variables, so that the correlation of variables that contain functional relationship but subject to specific distributions cannot be well identified. Therefore, a novel correlation analysis framework for detecting associations between variables with randomness (RVCR-CA) is proposed. The new method calculates the normalized RMSE to evaluate the degree of functional relationship between variables, calculates entropy difference to measure the degree of uncertainty in variables and constructs the copula function to evaluate the degree of dependence on random variables with distributions. Then, the weighted sum method is performed to the above three indicators to obtain the final correlation coefficient R. In the study, which considers the degree of functional relationship between variables, the uncertainty in variables and the degree of dependence on the variables containing distributions, cannot only measure the correlation of functional relationship variables with specific distributions, but also can better evaluate the correlation of variables without clear functional relationships. In experiments on the data with functional relationship between variables that contain specific distributions, UCI data and synthetic data, the results show that the proposed method has more comprehensive evaluation ability and better evaluation effect than the traditional method of correlation analysis.

Impact of food insecurity and its influencing factors on the risk of malnutrition among COVID-19 patients

INTRODUCTION

Few studies focused on the impact of food insecurity severity on the risk of malnutrition among COVID-19 patients in Saudi Arabia.

OBJECTIVES

This study described the prevalence of food insecurity among COVID-19 patients, its severity, and its associated factors. Additionally, the impact of the severity of food insecurity on the risk of malnutrition was determined. It is hypothesized that food insecurity is associated with an increased risk of malnutrition among COVID-19 patients.

METHOD

A cross-sectional study was conducted in Al Madinah Al Munawarah in Saudi Arabia. Patients with confirmed COVID-19 and acute severe or nonsevere illness were enrolled. The Food Insecurity Experience Scale was used to determine the severity of food insecurity, and risk of malnutrition was assessed using the Malnutrition Screening Tool. Demographic characteristics, history of medical conditions, food intake, and body mass index (BMI) were assessed.

RESULTS

A total of 514 patients were enrolled, with 391 (76%) having acute nonsevere COVID-19 symptoms. A total of 14.2% of patients suffered from food insecurity. Of these, 17% had severe symptoms. The severity of food insecurity was influenced by patients' education (P = 0.02, 95% CI 0.019-0.225), weight loss (P = 0.0001, 95% CI 0.252-0.752), and loss of appetite (P = 0.0001, 95% CI 0.293-0.604). Fifteen percent of patients were at risk of malnutrition. Many obese patients suffered from severe COVID-19 symptoms (P = 0.029, 95% CI 0.02-0.539). The risk of malnutrition was associated with the severity of food insecurity (P = 0.001, 95% CI -0.056- -0.014), BMI (P = 0.049, 95% CI 0.000-0.042), and employment status (P = 0.034, 95% CI 0.002-0.048).

CONCLUSION

Food insecurity and the risk of malnutrition among COVID-19 patients should be assessed to prevent adverse health outcomes.

The use of prognostic nutritional index (PNI) and selected inflammatory indicators for predicting malnutrition in COVID-19 patients: A retrospective study

BACKGROUND

Malnutrition causes diverse alterations in the immune system, and COVID-19 is an infection affecting the immune system, consequently leading to malnutrition.

AIMS

This study aimed to investigate the use of prognostic nutritional index (PNI) and selected inflammatory indices for malnutrition screening among COVID-19 hospitalized patients.

MATERIAL AND METHODOLOGY

This is a single-center retrospective study that enrolled 289 hospitalized COVID-19 patients between 1st January to 30th April 2021, their median age was 59 years. Demographic and biochemical data were collected from patients' records. The PNI, platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), and an early warning score to predict mortality risk (ANDC) were calculated. Univariate and multivariate logistic regression analyses were performed. A P-value of < 0.05 was considered statistically significant.

RESULTS

about 30 % of patients were admitted to the intensive care unit (ICU), and ICU patients had significantly higher levels of white blood cell (WBCs) count, neutrophils, C-reactive protein (C-RP), and D-dimer (P < 0.05). On the other hand, they had significantly lower levels of lymphocytes and serum albumin (P < 0.001; for both). Those with high ANDC scores were more likely to develop severe conditions affecting nutritional status compared to non-ICU (OR = 1.04, 95 % CI:1.014-1.057; P < 0.001). ANDC showed good discrimination ability with an AUC of 0.784 (cut-off value > 68.19 score).

CONCLUSION

It is suggested that ANDC could be used as a predictor for nutritional status and severity in COVID-19 hospitalized patients.

Risk of Malnutrition in Hospitalized COVID-19 Patients: A Systematic Review and Meta-Analysis

(1) Background: Studies have reported that COVID-19 may increase the risk of malnutrition among patients. However, the prevalence of such risk in hospitalized COVID-19 patients is uncertain due to the inconsistent use of assessment methods. (2) Methods: PubMed, Web of Science, and EMBASE were searched to identify studies on the nutritional status of hospitalized COVID-19 patients. A pooled prevalence of malnutrition risk evaluated by Nutrition Risk Score (NRS-2002) was obtained using a random effects model. Differences by study-level characteristics were examined by hospitalization setting, time of assessment, age, and country. Risk of bias was assessed using the Newcastle−Ottawa Scale. (3) Results: 53 studies from 17 countries were identified and summarized. A total of 17 studies using NRS-2002, including 3614 COVID-19 patients were included in the primary meta-analysis. The pooled prevalence of risk of malnutrition was significantly higher among ICU patients (92.2%, 95% CI: 85.9% to 96.8%) than among general ward patients (70.7%, 95% CI: 56.4% to 83.2%) (p = 0.002). No significant differences were found between age groups (≥65 vs. <65 years, p = 0.306) and countries (p = 0.893). (4) Conclusions: High risk of malnutrition is common and concerning in hospitalized patients with COVID-19, suggesting that malnutrition screening and nutritional support during hospitalization are needed.

Using inflammatory indices for assessing malnutrition among COVID-19 patients: A single-center retrospective study

BACKGROUND

Coronavirus disease 2019 (COVID-19) causes malnutrition in infected patients. This study aimed to investigate the use of systemic immune-inflammatory index (SII), platelet-to-lymphocyte ratio (PLR), the Glasgow Prognostic Score (GPS), and neutrophil-to-lymphocyte ratio (NLR) for malnutrition assessment among COVID-19 inpatients.

METHODS

This is a single-center retrospective study on 108 hospitalized COVID-19 patients; 14 were admitted to the intensive care unit (ICU). Data were collected from patients' profiles while NLR, PLR, GPS, and SII were calculated. Inflammatory indices' predictive power was analyzed using the receiver operating characteristic curve (ROC). A P-value of < 0.05 was considered statistically significant.

RESULTS

Hospitalization days, neutrophils count, C-reactive protein (CRP), and serum urea levels were significantly higher in ICU patients. None of SII, PLR, and NLR were significantly different between ICU and non-ICU groups. Also, albumin and GPS showed a higher sensitivity level (100.0), followed by PLR and SII (78.57 and 71.34, respectively). Regarding ROC curves, even though NLR, PLR, and SII provided the largest area under the curve (AUC) (0.687, 0.682, 0.645; respectively), they have shown a poor discrimination ability, while GPS and albumin were ineffective in predicting malnutrition in COVID-19 patients.

CONCLUSION

NLR, SII, and PLR showed poor predicting ability for malnutrition among COVID-19 inpatients. Additional consideration should be taken for using inflammatory parameters (SII, PLR, GPS, and NLR) to predict malnutrition in COVID-19 inpatients.

Impact of nutritional therapy during the first wave of the COVID-19 pandemic in intensive care patients: A retrospective observational study

BACKGROUND & AIMS

The COVID-19 pandemic has caused major organizational challenges to healthcare systems concerning staff, material and bed availability. Nutrition was not a priority in the intensive care unit (ICU) at the beginning of the pandemic with the need for simplified protocols. We aimed to assess the impact of a simplified nutritional protocol for critically ill COVID-19 patients during the pandemic first wave.

METHODS

We included all patients with SARS-CoV-2 infections, admitted to the ICU of the Geneva University Hospitals for at least 4 days from March 9 to May 19, 2020. Data on the route and solution of nutritional therapy, prescribed and received volume, calorie and protein intake, amount of insulin, propofol and glucose administered were collected daily during the entire ICU stay. We compared nutritional outcomes between patients admitted to the ICU before and after implementing the simplified nutritional protocol using unpaired t-test.

RESULTS

Out of 119 patients, 48 were hospitalized in the ICU before, 47 across and 24 after the implementation of the nutritional protocol. The mean age was 63.2 (±12.7) years and 76% were men without significant difference between before and after group. The nutritional protocol implementation led to an increase in caloric intake (1070 vs. 1357 kcal/day, p = 0.018) and in the percentage of days within 80-100% of the energy target (11 vs. 20%, p = 0.021). The protein debt decreased significantly from 48 g/day to 37 g/day (p = 0.015). No significant difference in the percentage of days within the protein target (80-100%) was observed.

CONCLUSIONS

Calorie and protein coverage improved after the implementation of the simplified nutritional protocol in critically ill COVID-19 patients. Further studies are needed to assess the impact of such an approach on patients' clinical outcomes.

Nutritional risk at hospital admission is associated with prolonged length of hospital stay in old patients with COVID-19

BACKGROUND & AIMS

To investigate the association of nutritional risk at admission with the length of hospital stay (LOS) and mortality in older patients with COVID-19.

METHODS

Retrospective monocentric study in an acute geriatric hospital. Data were collected after an extensive review of medical records and the nutritional risk was assessed according to the Nutritional Risk Screening (NRS). Univariate and multivariate (adjusted for age, sex and comorbidity burden) Cox proportional-hazard and linear regression models were used to investigate the association with the above-mentioned outcomes.

RESULTS

Of a total of 245 patients (86.1 ± 6.4 yrs), 50.6% had a severe nutritional risk with an NRS≥5/7 at admission. Lower BMI, cognitive impairment and swallowing disorders were more prevalent in the patients with a higher NRS. A NRS≥5 was not associated with mortality but prolonged by more than 3 days the LOS among the 173 survivors (β 3.69; 0.71-6.67 95% CI; p = 0.016), with a discharge rate delayed by 1.8 times (HR 0.55; 0.37-0.83 95% CI; p = 0.101).

CONCLUSION

Among the survivors of COVID-19 in an acute geriatric hospital, a NRS ≥5 at admission was associated with a longer LOS, but not with mortality.

Multi-organ system involvement in coronavirus disease 2019 (COVID-19): A mega review

Since the pandemic of the coronavirus disease 2019 (COVID-19) infection, many people have been affected in different ways. The majority of infected people experience mild to moderate symptoms and recover without the need for hospitalization. However, in some affected people, it may lead to catastrophic disease. The severity of COVID-19 infection is widely influenced by co-morbidities, immune system functions, and extra-pulmonary organ injuries. Since the emergence of COVID-19, multi-organ involvement has been documented. In order to implement preventative and protective measures, full attention to potential organ injuries is required. Most existing articles and review papers are focused on a specific organ system, and their numbers are growing. In this review paper, attempts were made to collect review papers and articles published on seven organ system involvements in COVID-19 infection published till 15 July and highlight conclusions and managements of all affected organs. We tried to add to the medical knowledge on COVID-19, pointing out its multi-organ system impact. Finally, we tried to facilitate access to organized information and optimum conclusion by representing review tables for each organ system. Besides, this review article can clarify and magnify the empty research space easily for future investigations.

Pandemics, past and present: The role of biological anthropology in interdisciplinary pandemic studies

Biological anthropologists are ideally suited for the study of pandemics given their strengths in human biology, health, culture, and behavior, yet pandemics have historically not been a major focus of research. The COVID‐19 pandemic has reinforced the need to understand pandemic causes and unequal consequences at multiple levels. Insights from past pandemics can strengthen the knowledge base and inform the study of current and future pandemics through an anthropological lens. In this paper, we discuss the distinctive social and epidemiological features of pandemics, as well as the ways in which biological anthropologists have previously studied infectious diseases, epidemics, and pandemics. We then review interdisciplinary research on three pandemics–1918 influenza, 2009 influenza, and COVID‐19–focusing on persistent social inequalities in morbidity and mortality related to sex and gender; race, ethnicity, and Indigeneity; and pre‐existing health and disability. Following this review of the current state of pandemic research on these topics, we conclude with a discussion of ways biological anthropologists can contribute to this field moving forward. Biological anthropologists can add rich historical and cross‐cultural depth to the study of pandemics, provide insights into the biosocial complexities of pandemics using the theory of syndemics, investigate the social and health impacts of stress and stigma, and address important methodological and ethical issues. As COVID‐19 is unlikely to be the last global pandemic, stronger involvement of biological anthropology in pandemic studies and public health policy and research is vital.

Poor Nutritional Status and Dynapenia Are Highly Prevalent in Post-Acute COVID-19

Poor nutritional status is common (estimated prevalence 5–69%) in acute coronavirus disease-2019 (COVID-19), and has been associated with hospitalization, the need for intensive care, and mortality. Body composition (BC) and muscle function have also been related in such patients to poor disease outcomes.

As the evidence in the literature is limited, a cross-sectional study was carried out to determine the frequency of malnutrition in a cohort of post-acute COVID-19 patients referred to a rehabilitation center after hospital discharge. BC and muscle strength were assessed and the differences between bedridden and not bedridden patients were specifically evaluated.

The study sample was composed of 144 post-acute COVID-19 patients (mean age 64.8 years; males = 95), 37% of whom were bedridden (males = 60%). Nutritional status was evaluated with Mini-Nutritional Assessment (MNA) and Controlling Nutritional status (CONUT). Fat-free mass (FFM) and skeletal muscle mass (SM) were estimated using bioelectrical impedance analysis (BIA). Raw BIA variables (phase angle = PhA and impedance ratios = IRs) were also determined and handgrip strength (HGS) was measured. Dynapenia was identified according to the 2019 EWGSOP criteria.

According to MNA, 18% (n. 26) of patients were malnourished and 62% (n. 89) were at risk of malnutrition. As for CONUT, 21% (n. 31) of cases had moderate–severe malnutrition and 58% (n. 83) had light malnutrition. Abnormalities of raw BIA variables (low PhA and high IRs) and low HGS were more common in bedridden patients, in those who were malnourished, or had low FFM or SM. Dynapenic patients were 65% men and 47% women.

In conclusion, malnutrition, BC alterations, and low HGS occur in post-acute COVID-19 patients and are more common in bedridden patients. Further studies are needed to identify reliable algorithms for assessing nutritional status in post-acute COVID-19 patients undergoing rehabilitation.

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.

Heterogeneity and Risk of Bias in Studies Examining Risk Factors for Severe Illness and Death in COVID-19: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis synthesized the evidence on the impacts of demographics and comorbidities on the clinical outcomes of COVID-19, as well as the sources of the heterogeneity and publication bias of the relevant studies. Two authors independently searched the literature from PubMed, Embase, Cochrane library, and CINAHL on 18 May 2021; removed duplicates; screened the titles, abstracts, and full texts by using criteria; and extracted data from the eligible articles. The variations among the studies were examined by using Cochrane, Q.; I2, and meta-regression. Out of 11,975 articles that were obtained from the databases and screened, 559 studies were abstracted, and then, where appropriate, were analyzed by meta-analysis (n = 542). COVID-19-related severe illness, admission to the ICU, and death were significantly correlated with comorbidities, male sex, and an age older than 60 or 65 years, although high heterogeneity was present in the pooled estimates. The study design, the study country, the sample size, and the year of publication contributed to this. There was publication bias among the studies that compared the odds of COVID-19-related deaths, severe illness, and admission to the ICU on the basis of the comorbidity status. While an older age and chronic diseases were shown to increase the risk of developing severe illness, admission to the ICU, and death among the COVID-19 patients in our analysis, a marked heterogeneity was present when linking the specific risks with the outcomes.

Nutrition risk assessed by Nutritional Risk Screening 2002 is associated with in-hospital mortality in older patients with COVID-19

BACKGROUND

Although numerous studies have been performed to determine predictors of coronavirus disease 2019 (COVID-19) mortality, studies that address the geriatric age group are limited. The aim of this study was to investigate the utility of the Nutritional Risk Screening 2002 (NRS-2002) and the Geriatric 8 (G8) screening tools in predicting clinical outcomes in older adults hospitalized with COVID-19.

METHODS

Patients aged ≥60 years who were hospitalized with COVID-19 in the second wave of the pandemic were included in the study. COVID-19 infection was demonstrated by a positive real-time reverse transcriptase-polymerase chain reaction on nasopharyngeal swab or positive radiological findings. Disease severity was determined as defined by the National Institutes of Health. Patient demographics, laboratory values on admission, comorbidities, and medications were recorded. The NRS-2002 and the G8 screening tools were performed for all patients by the same geriatrician. Primary outcome was in-hospital mortality.

RESULTS

A total of 121 patients were included. Mean age was 75 ± 9 years, and 51% were female. Mean body mass index was 27 ± 4.5 kg/m² . Sixty-nine percent of the patients had nutrition risk according to the NRS-2002. Eighty-nine percent of the patients had a G8 score ≤14. In-hospital mortality occurred in 26 (22%) patients. Older age and having nutrition risk as determined by the NRS-2002 were independently associated with a higher risk of in-hospital mortality in older patients with COVID-19.

CONCLUSION

The NRS-2002 tool provides rapid assessment for risk stratification in hospitalized older patients with COVID-19.

Formulation of the Menu of a General Hospital After Its Conversion to a "COVID Hospital": A Nutrient Analysis of 28-Day Menus

Aim

The aim of the present study was to modify the hospital menu to increase energy and protein provision in COVID-19 patients.

Methods

After the conversion of our hospital to a COVID-19 hospital, eggs, and comfort foods such as vanilla pudding were added to the menu to boost energy and protein intake of patients. All meals of the standard menu of the hospital, i.e., breakfast, lunch, and dinner were recorded for 14 consecutive days during two periods: pre-COVID-19 and after being converted to a "COVID hospital." The menus were analyzed with the use of the USDA database.

Results

The total content of energy (1,873 ± 87 vs. 2,489 ± 137 Kcal), protein (97 ± 11 vs. 126.4 ± 18.7 g), fat (55 ± 9 vs. 74.1 ± 12.8 g), and carbohydrate (241.0 ± 16.0 vs. 323.0 ± 16.0 g) of the provided menus was increased in the COVID-19 period compared to the pre-COVID period. The leucine provision was also increased (4.8 ± 1.08 vs. 7.2 ± 1.3 g). Changes in protein and leucine were greater for breakfast (10 vs. 21 g protein and 0.8 vs. 1.7 g of leucine). The menu during COVID-29 provided more vitamin C (69.5 vs. 109.4 mg), thiamine (1.5 vs. 1.6 mg), riboflavin (2.1 vs. 2.6 mg), niacin (20.6 vs. 27.2 mg), pantothenic Acid (5.7 vs. 7.9 mg), vitamin B6 (2 vs. 2.6 mg), folate (274 vs. 334 μg), B 12 (4.8 vs. 6.2 μg), choline (296 vs. 458 mg) as well as vitamins A (8,564 vs. 21,258 IU), D (3.9 vs. 4.7 μg), and K (59.3-111.5 μg). As far as micronutrients are concerned, the provisions of calcium (972 vs. 1375 mg), iron (10.2-12.8 mg), magnesium (236 vs. 294 mg), phosphorus (1,325 vs. 1,807 mg), copper (1.0 vs. 1.3 mg), manganese (2.1 vs. 2.4 mg) and selenium (148 vs. 183 μg) were increased during the COVID-19 period.

Conclusion

Simple menu changes and addition of comfort foods can substantially boost the nutrient content of a hospital diet, which in concert with provision of oral nutritional supplements could have an impact on patients' nutritional status.

The importance of nutritional status on clinical outcomes among both ICU and Non-ICU patients with COVID-19

Background and aims

Methods

Results

Conclusion

Evaluation of Nutritional Status of Intensive Care Unit COVID-19 Patients Based on the Nutritional Risk Screening 2002 Score

BACKGROUND

Patients with COVID-19 are susceptible to malnutrition, which is particularly concerning among critically ill patients. We evaluated the Nutritional Risk Screening 2002 (NRS-2002) score in such patients and determined its relationship with the hospitalization outcome.

METHODS

This cross-sectional study involved COVID-19 patients admitted to the intensive care units (ICUs) of Shahid Faghihi Hospital, Shiraz, Iran, between February and March 2021. We assessed the nutritional status using NRS-2002 and determined disease severity with the APACHE II index. Demographic information, weight, height, clinical signs, previous illness, medications, biochemical test results, and history of anorexia and weight loss were recorded. Data were analyzed using SPSS version 18.

RESULTS

The mean age of 100 patients was 55.36 ± 18.86 years. According to NRS-2002, 30%, 29%, and 41% of patients were at low risk, moderate risk, and high risk of malnutrition, respectively. Age and BUN increased significantly with NRS-2002, while albumin and hematocrit followed the opposite trend (P < 0.001). Patients who died had lower albumin and hematocrit levels but higher age, NRS-2002 scores, and BUN/creatinine levels than those who recovered. Multivariable logistic regression revealed that for every unit increase in the NRS-2002 score, the odds of mortality increased by 354% (OR: 4.54, CI: 1.48, 13.95, P=0.008).

CONCLUSION

NRS-2002 is a valuable prognostic tool for critically ill COVID-19 patients, with each unit's rise in the score being associated with a 354% rise in the odds of mortality. Increased malnutrition risk was linked with higher age and BUN and lower albumin and hematocrit levels.

[Effect of COVID-19 on dietotherapeutic prescription during the first half of 2020 in the Community of Madrid]

Introduction

Objectives: the aim of the study was to analyze the impact of COVID-19 on enteral nutrition prescription in the Community of Madrid during the first semester of 2020. Material and Methods: this is a descriptive study of enteral nutrition prescription in the first semester of 2020 and its comparison with the first semester of 2019. We included all the prescriptions in public hospitals of the Community of Madrid as recorded in public electronic databases. Results: there was an 8 % increase in the number of enteral nutrition prescriptions in March 2020 when compared with the previous months (p < 0.001). Then, in April and May 2020 we observed a 9 % decrease in enteral nutrition prescriptions (p < 0.001). Total costs in enteral nutrition showed a similar pattern, with an increase in March 2020 (p < 0.001) and a decrease in April and May 2020 (p < 0.001). When analyzing the data by patient age, those above 75 y.o. showed the highest decrease in enteral nutrition prescriptions (33.1 % higher than for those under 75 y.o.) in April and May 2020 (p < 0.001). Conclusions: the irruption of COVID-19 had a relevant impact on enteral nutrition prescription, especially among the elderly. Follow-up is needed to assess the long-term consequences of this in nutritional therapy.

Evaluation of the effectiveness of the Nutritional Risk Screening System 2002 (NRS-2002) in COVID-19 patients admitted to the intensive care unit

BACKGROUND

Nutritional status of patients with COVID-19 can affect the recovery process of patients; however, no nutritional scale was introduced to evaluate the nutritional status of the patients. Thus, the main objective of this study was to examine the usefulness of Nutritional status-2002 (NRS-2002) among COVID-19 patients admitted to the intensive care unit (ICU).

MATERIAL AND METHODS

In this cross-sectional study, 73 patients with definitive corona diagnosis admitted to the ICUs of Al-Zahra hospital, Isfahan, Iran in October 2020 to January 2021 were recruited. Dietary intake, NRS-2002, demographic, anthropometric and biochemical indices of patients were recorded.

RESULTS

The majority of patients were at risk for moderate (69.9%) to severe (12.3%) malnutrition. Daily calorie intake (P = .001) and albumin (P = .001) levels in deceased patients were significantly lower than the recovered group. A direct correlation between NRS-2002 and age (P < .001) and an inverse correlation with daily calorie intake (P = .002), albumin (P = .05) and PaO2 (P = .034) was found. Moreover, there is a strong correlation between NRS-2002 score and chance of death among COVID-19 patients (OR=34.5, 95%CI:(5.2 - 228.93), P-value<0.001). Likewise, the levels of bilirubin direct (OR=8, 95%CI:(1.30 - 49.38), P-value=0.025) and creatine-phosphokinase (OR=0.9, 95%CI:(0.99 - 1.00), P-value=0.035) have a significant direct association with chance of death.

CONCLUSION

Results showed patients with COVID-19 admitted to the ICU did not have appropriate nutritional status and mortality was higher among patients with lower amounts of the serum albumin and daily calorie intakes. Furthermore, there is a strong association between the NRS-2002 index and the chance of mortality in these patients.

Food Access, Diet Quality, and Nutritional Status of Older Adults During COVID-19: A Scoping Review

Background: COVID-19 has imposed challenges for older adults to access food, particularly in minority, lower income, and rural communities. However, the impact of COVID-19 on food access, diet quality, and nutrition of diverse older adult populations has not been systematically assessed. Objective: To examine changes in food access, diet quality, and nutritional status among older adults during the COVID-19 pandemic and the potential differential impacts of the COVID-19 pandemic on these nutrition-related outcomes using the framework of the socio-ecological model. Methods: An electronic search was conducted on 3 databases (PubMed, CINAHL, and Web of Science) on March 7, 2021. Original, peer-reviewed English-language studies published 10/1/2019-3/1/2021 were considered for which the mean age of participants was 50 years and older. In order to be considered, studies must have examined food access, food security, or nutrition constructs as an outcome. Results: The initial search yielded 13,628 results, of which 9,145 were duplicates. Of the remaining 4,483 articles, 13 articles were in scope and therefore selected in the final analysis, which can be characterized as descriptive (n = 5), analytical (n = 6), and correlational (n = 2). Studies were conducted among community-dwelling older adult populations (n = 7) as well as those temporarily residing in hospital settings (n = 6) in 10 countries. None of the in-scope studies examined the impact of food programs or specific public policies or disaggregated data by race/ethnicity. Conclusions: More research is needed to examine the impact of COVID-19 on food access/security and the differential barriers experienced by older adult populations.

Usefulness of the CONUT index upon hospital admission as a potential prognostic indicator of COVID-19 health outcomes

BACKGROUND

In-hospital mortality in patients with coronavirus disease 2019 (COVID-19) is high. Simple prognostic indices are needed to identify patients at high-risk of COVID-19 health outcomes. We aimed to determine the usefulness of the CONtrolling NUTritional status (CONUT) index as a potential prognostic indicator of mortality in COVID-19 patients upon hospital admission.

METHODS

Our study design is of a retrospective observational study in a large cohort of COVID-19 patients. In addition to descriptive statistics, a Kaplan-Meier mortality analysis and a Cox regression were performed, as well as receiver operating curve (ROC).

RESULTS

From February 5, 2020 to January 21, 2021, there was a total of 2969 admissions for COVID-19 at our hospital, corresponding to 2844 patients. Overall, baseline (within 4 days of admission) CONUT index could be scored for 1627 (57.2%) patients. Patients' age was 67.3 ± 16.5 years and 44.9% were women. The CONUT severity distribution was: 194 (11.9%) normal (0-1); 769 (47.2%) light (2-4); 585 (35.9%) moderate (5-8); and 79 (4.9%) severe (9-12). Mortality of 30 days after admission was 3.1% in patients with normal risk CONUT, 9.0% light, 22.7% moderate, and 40.5% in those with severe CONUT (P < 0.05). An increased risk of death associated with a greater baseline CONUT stage was sustained in a multivariable Cox regression model (P < 0.05). An increasing baseline CONUT stage was associated with a longer duration of admission, a greater requirement for the use of non-invasive and invasive mechanical ventilation, and other clinical outcomes (all P < 0.05). The ROC of CONUT for mortality had an area under the curve (AUC) and 95% confidence interval of 0.711 (0.676-0746).

CONCLUSION

The CONUT index upon admission is potentially a reliable and independent prognostic indicator of mortality and length of hospitalization in COVID-19 patients.

Clinical significance of prognostic nutrition index in hospitalized patients with COVID-19: Results from single-center experience with systematic review and meta-analysis

BACKGROUND

We aimed to ascertain risk indicators of in-hospital mortality and severity as well as to provide a comprehensive systematic review and meta-analysis to investigate the prognostic significance of the prognostic nutrition index (PNI) as a predictor of adverse outcomes in hospitalized coronavirus disease 2019 (COVID-19) patients.

METHODS

In this cross-sectional study, we studied patients with COVID-19 who were referred to our hospital from February 16 to November 1, 2020. Patients with either a real-time reverse-transcriptase polymerase chain reaction test that was positive for COVID-19 or high clinical suspicion based on the World Health Organization (WHO) interim guidance were enrolled. A parallel systematic review/meta-analysis (in PubMed, Embase, and Web of Science) was performed.

RESULTS

A total of 504 hospitalized COVID-19 patients were included in this study, among which 101 (20.04%) patients died during hospitalization, and 372 (73.81%) patients were categorized as severe cases. At a multivariable level, lower PNI, higher lactate dehydrogenase (LDH), and higher D-dimer levels were independent risk indicators of in-hospital mortality. Additionally, patients with a history of diabetes, lower PNI, and higher LDH levels had a higher tendency to develop severe disease. The meta-analysis indicated the PNI as an independent predictor of in-hospital mortality (odds ratio [OR] = 0.80; P < .001) and disease severity (OR = 0.78; P = .009).

CONCLUSION

Our results emphasized the predictive value of the PNI in the prognosis of patients with COVID-19, necessitating the implementation of a risk stratification index based on PNI values in hospitalized patients with COVID-19.

Hypophosphatemia at Admission is Associated with Increased Mortality in COVID-19 Patients

Background

Electrolyte disturbances are commonly observed in patients with coronavirus disease 2019 (COVID-19) and associated with outcome in these patients. Our study was designed to examine whether hypophosphatemia is associated with mortality in COVID-19 patients.

Methods

Patients diagnosed with COVID-19 and hospitalized in Renmin Hospital of Wuhan University between January 30 and February 24, 2020 were included in this study. Patients were divided into two groups, a hypophosphatemia group and a non-hypophosphatemia group, based on a serum phosphate level of 0.8 mmol/L. Logistic regression was performed to analyze the relationship between hypophosphatemia and mortality. A locally weighted scatterplot smoothing (LOWESS) curve was plotted to show the detailed association between mortality rate and serum phosphate level. A Kaplan–Meier survival curve was drawn to compare the difference in cumulative survival between the two groups.

Results

Hypophosphatemia at admission occurred in 33 patients, with an incidence of 7.6%. The hypophosphatemia group had a significantly higher incidence of respiratory failure (54.5% vs 32.6%, p=0.013) and mortality (57.6% vs 15.2%, p<0.001). Multivariate logistic regression indicated that age (OR=1.059, p<0.001), oxygen saturation (OR=0.733, p<0.001), white blood cells (OR=1.428, p<0.001), lymphocytes (OR=0.075, p<0.001) and hypophosphatemia (OR=3.636, p=0.015) were independently associated with mortality in the included patients. The hypophosphatemia group had significantly shorter survival than the non-hypophosphatemia group (p<0.001).

Conclusion

Hypophosphatemia at admission is associated with increased mortality in COVID-19 patients. More attention and medical care should be given to COVID-19 patients with hypophosphatemia at admission.

Nutrition in the Actual COVID-19 Pandemic. A Narrative Review

The pandemic of Coronavirus Disease 2019 (COVID-19) has shocked world health authorities generating a global health crisis. The present study discusses the main finding in nutrition sciences associated with COVID-19 in the literature. We conducted a consensus critical review using primary sources, scientific articles, and secondary bibliographic indexes, databases, and web pages. The method was a narrative literature review of the available literature regarding nutrition interventions and nutrition-related factors during the COVID-19 pandemic. The main search engines used in the present research were PubMed, SciELO, and Google Scholar. We found how the COVID-19 lockdown promoted unhealthy dietary changes and increases in body weight of the population, showing obesity and low physical activity levels as increased risk factors of COVID-19 affection and physiopathology. In addition, hospitalized COVID-19 patients presented malnutrition and deficiencies in vitamin C, D, B12 selenium, iron, omega-3, and medium and long-chain fatty acids highlighting the potential health effect of vitamin C and D interventions. Further investigations are needed to show the complete role and implications of nutrition both in the prevention and in the treatment of patients with COVID-19.

Is butyrate a natural alternative to dexamethasone in the management of CoVID-19?

Coronavirus disease 2019 (CoVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 has affected more than 100 million lives. Severe CoVID-19 infection may lead to acute respiratory distress syndrome and death of the patient, and is associated with hyperinflammation and cytokine storm. The broad spectrum immunosuppressant corticosteroid, dexamethasone, is being used to manage the cytokine storm and hyperinflammation in CoVID-19 patients. However, the extensive use of corticosteroids leads to serious adverse events and disruption of the gut-lung axis. Various micronutrients and probiotic supplementations are known to aid in the reduction of hyperinflammation and restoration of gut microbiota. The attenuation of the deleterious immune response and hyperinflammation could be mediated by short chain fatty acids produced by the gut microbiota. Butyric acid, the most extensively studied short chain fatty acid, is known for its anti-inflammatory properties. Additionally, butyric acid has been shown to ameliorate hyperinflammation and reduce oxidative stress in various pathologies, including respiratory viral infections. In this review, the potential anti-inflammatory effects of butyric acid that aid in cytokine storm depletion, and its usefulness in effective management of critical illness related to CoVID-19 have been discussed.

Approaches to Nutritional Screening in Patients with Coronavirus Disease 2019 (COVID-19)

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.