ABSTRACT
OBJECTIVES: While studies on the treatment for the coronavirus disease 2019 (COVID-19) pandemic continue all over the world, factors that increase the risk of severe disease have also been the subject of research. Malnutrition has been considered an independent risk factor. Therefore, we aimed to investigate the clinical effect of dietary habits and evaluate the prognostic value of the Controlling Nutritional Status score in the COVID-19 patients we followed up. METHODS: A total of 2760 patients hospitalized for COVID-19 were examined. Patients were retrospectively screened from three different centers between September 1 and November 30, 2020. A total of 1488 (53.9%) patients who met the criteria were included in the study. Risk classifications were made according to the calculation methods of prognostic nutritional index and Controlling Nutritional Status scores and total scores. The primary outcome of the study was in-hospital mortality. RESULTS: The groups with severe Controlling Nutritional Status and prognostic nutritional index scores had a significantly higher mortality rate than those with mild scores. In the multivariable regression analysis performed to determine in-hospital mortality, the parameters, such as age (OR 1.04; 95%CI 1.02-1.06, p<0.001), admission oxygen saturation value (SaO2) (OR 0.85; 95%CI 0.83-0.87, p<0.001), and Controlling Nutritional Status score (OR 1.34; 95%CI 1.23-1.45, p<0.001), were independent predictors. The patient groups with a low Controlling Nutritional Status score had a higher rate of discharge with recovery (p<0.001). CONCLUSIONS: Higher Controlling Nutritional Status scores may be effective in determining in-hospital mortality in patients with COVID-19. Nutrition scores can be used as a useful and effective parameter to determine prognosis in patients with COVID-19.
Subject(s)
COVID-19 , Malnutrition , Humans , Malnutrition/etiology , Nutrition Assessment , Nutritional Status , Prognosis , Retrospective Studies , Risk FactorsABSTRACT
The first UK lockdown greatly impacted the food security status of UK adults. This study set out to establish if food procurement was adapted differently for different income groups and if this impacted dietary intakes disproportionately. Adults (n = 515) aged 20-65 years participated in an online survey with 56 completing a 3-4 day diet diary. Food availability was a significant factor in the experience of food insecurity. Similar proportions of food secure and food insecure adapted food spend during lockdown, spending similar amounts. Food insecure (n = 85, 18.3%) had a 10.5% lower income and the money spent on food required a greater proportion of income. Access to food was the biggest driver of food insecurity but monetary constraint was a factor for the lowest income group. The relative risk of food insecurity increased by 0.07-fold for every 1% increase in the proportion of income spent on food above 10%. Micronutrient intakes were low compared to the reference nutrient intake (RNI) for most females, with riboflavin being 36% lower in food insecure groups (p = 0.03), whilst vitamin B12 was 56% lower (p = 0.057) and iodine 53.6% lower (p = 0.257) these were not significant. Coping strategies adopted by food insecure groups included altering the quantity and variety of fruit and vegetables which may have contributed to the differences in micronutrients.
Subject(s)
COVID-19 , Food Supply , Adult , Female , Humans , Nutrition Assessment , Pandemics , COVID-19/epidemiology , Communicable Disease Control , Diet , Food Security , United Kingdom/epidemiologyABSTRACT
BACKGROUND AND OBJECTIVES: Malnutrition is common in elderly patients and is an important geriatric syndrome that increases mortality. We aim to examine the frequency of malnutrition and independent risk factors associated with mortality in hospitalized elderly patients with COVID-19. METHODS AND STUDY DESIGN: Patients aged 65 years and older with COVID-19, who were hospitalized between 15th March and 30th April 2020, were included. Demographic characteristics of the patients, their comorbid diseases, medications, malnutrition, and mortality status were recorded. Nutritional Risk Screening-2002 was used as a malnutrition risk screening tool. The factors affecting mortality were analyzed using multivariate Binary Logistic regression analysis. RESULTS: Of the 451 patients included in the study, the mean age was 74.8±7.46 and 51.2% of them were female. The mean number of comorbid diseases was 1.9±1.28. Malnutrition risk was 64.7%, polymorbidity rate was 57.6% and polypharmacy was 19.3%. Mortality rate was found 18.4%. The risk factors affecting mortality were presented as malnutrition risk (OR: 3.26, p=0.013), high number of comorbid diseases (OR: 1.48, p=0.006), and high neutrophil/lymphocyte ratio (OR: 1.18, p<0.001), C-reactive protein (OR: 1.01, p<0.001), and ferritin (OR: 1.01, p=0.041) in elderly patients with COVID-19. Malnutrition risk (3.3 times), multiple comorbid diseases (1.5 times), and high neutrophil/lymphocyte ratio (1.2 times) were independent risk factors that increased the mortality. CONCLUSIONS: The frequency of malnutrition risk and mortality in elderly patients with COVID-19 is high. The independent risk factors affecting mortality in these patients are the risk of malnutrition, multiple comorbid diseases, and a high neutrophil/lymphocyte ratio.
Subject(s)
COVID-19 , Malnutrition , Aged , Aged, 80 and over , C-Reactive Protein , Female , Ferritins , Geriatric Assessment/methods , Humans , Male , Malnutrition/complications , Malnutrition/diagnosis , Malnutrition/epidemiology , Nutrition Assessment , Nutritional Status , Risk Factors , Turkey/epidemiologyABSTRACT
OBJECTIVES: While studies on the treatment for the coronavirus disease 2019 (COVID-19) pandemic continue all over the world, factors that increase the risk of severe disease have also been the subject of research. Malnutrition has been considered an independent risk factor. Therefore, we aimed to investigate the clinical effect of dietary habits and evaluate the prognostic value of the Controlling Nutritional Status score in the COVID-19 patients we followed up. METHODS: A total of 2760 patients hospitalized for COVID-19 were examined. Patients were retrospectively screened from three different centers between September 1 and November 30, 2020. A total of 1488 (53.9%) patients who met the criteria were included in the study. Risk classifications were made according to the calculation methods of prognostic nutritional index and Controlling Nutritional Status scores and total scores. The primary outcome of the study was in-hospital mortality. RESULTS: The groups with severe Controlling Nutritional Status and prognostic nutritional index scores had a significantly higher mortality rate than those with mild scores. In the multivariable regression analysis performed to determine in-hospital mortality, the parameters, such as age (OR 1.04; 95%CI 1.02-1.06, p<0.001), admission oxygen saturation value (SaO2) (OR 0.85; 95%CI 0.83-0.87, p<0.001), and Controlling Nutritional Status score (OR 1.34; 95%CI 1.23-1.45, p<0.001), were independent predictors. The patient groups with a low Controlling Nutritional Status score had a higher rate of discharge with recovery (p<0.001). CONCLUSIONS: Higher Controlling Nutritional Status scores may be effective in determining in-hospital mortality in patients with COVID-19. Nutrition scores can be used as a useful and effective parameter to determine prognosis in patients with COVID-19.
Subject(s)
COVID-19 , Malnutrition , Humans , Malnutrition/etiology , Nutrition Assessment , Nutritional Status , Prognosis , Retrospective Studies , Risk FactorsABSTRACT
BACKGROUND: Few clinical studies have addressed nutritional risk assessment in patients with COVID-19 pneumonia admitted to the intensive care unit (ICU). OBJECTIVES: Assess the nutritional risk status of the critically ill COVID-19 pneumonia patients admitted to the ICU, and compare the nutritional risk screening tools. DESIGN: Medical record review SETTING: Tertiary critical care unit PATIENTS AND METHODS: We included adult (age >18 years) PCR-confirmed critically ill COVID-19 pneumonia cases admitted to the ICU between August 2020 and September 2021. Scoring systems were used to assess COVID-19 severity and nutritional status (mNUTRIC: modified Nutrition Risk in Critically Ill, NRS2002: Nutritional Risk Screening 2002). The 30-day mortality prediction performance of nutritional scores and survival comparisons between clinical and demographic factors were assessed. MAIN OUTCOME MEASURES: Compare the nutrition risk tools SAMPLE SIZE: 281 patients with a mean (SD) age of 64.3 (13.3) years; 143 (50.8%) were 65 years and older. RESULTS: The mean mNUTRIC score of the cases was 3.81 (1.66) and the mean NRS-2002 score was 3.21 (0.84.), and 101 (35.9%) were at high risk of malnutrition according to the mNUTRIC score and 229 (81.4%) according to the NRS 2002 score. In cases at high risk of malnutrition by the mNUTRIC score there was a greater need for invasive mechanical ventilation, vasopressors, and renal replacement therapy (P<.001 for all comparisons). The mNUTRIC score was superior to the NRS-2002 score in estimating 30-day mortality. In patients who died within 30 days, the mNUTRIC score and NRS-2002 score on the day of hospitalization were significantly higher (P<.001), and the proportion of patients with NRS-2002 score ≥3 and mNUTRIC score ≥5 was significantly higher in the non-surviving group (P<.001). In addition, patients with a high risk of malnutrition had a shorter survival time. The mNUTRIC score was an independent and important prognostic factor for 30-day mortality, and patients with an mNUTRIC score ≥5 had a 6.26-fold risk for 30-day mortality in the multivariate Cox regression. CONCLUSION: One third of critical COVID-19 pneumonia cases hospitalized in the ICU due to acute respiratory failure have a high risk of malnutrition, and a high mNUTRIC score is associated with increased mortality. LIMITATIONS: Single center retrospective study. CONFLICT OF INTEREST: None.
Subject(s)
COVID-19 , Malnutrition , Adolescent , Adult , COVID-19/therapy , Critical Illness/therapy , Humans , Intensive Care Units , Malnutrition/diagnosis , Middle Aged , Nutrition Assessment , Nutritional Status , Retrospective Studies , Risk AssessmentABSTRACT
COVID-19 has challenged health professionals in widely divergent areas, including innovation of practice, communication, multidisciplinary activities, broader use of technology, and adaptability. The role of the dietitian and other health professionals in dealing with the evolving crisis might be considered essential in treating patients. Given the limited access to various food options, nutrition screening and assessment deserves a high priority to complete a comprehensive nutrition evaluation, identify nutrition risks, prioritize care, and provide early nutrition intervention and support to all patients with or who have had, COVID-19 and are experiencing ongoing symptoms. Such an intervention would benefit the patients and the health system by reducing the length of hospital stay, ameliorating further complications, limiting hospital readmission, enhancing recovery, and assisting in the management of comorbidities and their metabolic alterations. This brief overview outlines the essential role of nutrition intervention and support as part of an integrated, multidisciplinary treatment program for the care of COVID-19 patients during the pandemic. Restrictive movements have changed consultative approaches, and the importance of Telenutrition for the effective communication of health status and recommendations.
Subject(s)
COVID-19 , Nutritionists , Health Personnel , Humans , Nutrition Assessment , Pandemics/prevention & controlABSTRACT
BACKGROUND: When nutrition assessments must be performed virtually, such as during the coronavirus pandemic, it is difficult to fully assess patients for malnutrition without the ability to perform a nutrition-focused physical exam. Practitioners may ask patients about their physical appearance, but there is currently no validated set of questions whose answers correlate with nutrition-focused physical findings for the diagnosis of malnutrition in such situations. The aim of this study was to evaluate correlations between patients' responses to verbalized questions and physical signs of malnutrition. METHODS: Questions related to the physical findings of malnutrition were developed and evaluated for content validity. Thirty patients receiving nutrition assessments at an acute care veterans' hospital were asked the questions prior to a nutrition-focused physical exam. Patients' responses were compared with a diagnosis of malnutrition and physical findings of muscle, fat, fluid accumulation, and handgrip strength. RESULTS: Four questions significantly correlated with malnutrition: "Does the area around your eyes appear sunken in?" (P = 0.03), "Are you able to see your ribs?" (P = 0.05), "Do you feel you are unusually skinny for you?" (P = 0.001), and "Do you find yourself eating less due to swelling in your belly?" (P = 0.008). CONCLUSION: There are relationships between patients' responses to certain verbalized questions and their physical status. Such questions can be used to identify physical signs of malnutrition when nutrition-focused physical exams cannot be performed. Further research is needed to validate these questions in other populations.
Subject(s)
Hand Strength , Malnutrition , Humans , Malnutrition/diagnosis , Nutrition Assessment , Nutritional Status , Physical Examination , Surveys and QuestionnairesABSTRACT
The COVID-19 pandemic has brought about various restrictions around the world, and its impact on healthcare has been enormous: RDNs have had to shift from in-person interactions with clients to telenutrition consultations, encountering obstacles. We designed the first survey to investigate the changes in RDN practices related to telenutrition provision after the onset of the pandemic through an online survey in Italy. Four hundred and thirty-six responses were analyzed. Before the pandemic, only 16% of Italian RDNs provided telenutrition; this percentage increased significantly up to 63% (p < 0.001). Among patients, the lack of interest in accessing telenutrition (30.9%) and the Internet (16.7%) were the most frequently reported barriers. Among RDNs, one of the main obstacles was their inability to conduct nutritional evaluation or monitoring activities (24.4%). Our survey indicated that increased adoption of telenutrition can be a valid, safe alternative to face-to-face visits. Telenutrition was mainly used by young RDNs (20-39 years) with fewer years of professional experience (0-20 years) and master's degrees. Remote nutrition can enable RDNs to maintain normal workloads and provide patients with uninterrupted access to nutritional healthcare. It is important that RDNs using telemedicine resources possess the ability to provide high-quality, efficient, and secure services using evidence-based guidance.
Subject(s)
COVID-19 , Dietetics , Nutritionists , Humans , Nutrition Assessment , Pandemics , Professional PracticeABSTRACT
BACKGROUND: Inflammation plays a crucial role in nutrition status and can be useful in early nutrition risk screening of patients during the coronavirus disease 2019 (COVID-19) pandemic. Thus, this study aimed to assess the association between systemic inflammatory markers and nutrition risk tools in intensive care unit (ICU) patients with COVID-19. METHODS: Patients with confirmed COVID-19 and ICU admission were enrolled in a retrospective, observational, cross-sectional study. The medians of C-reactive protein (CRP; ≥13.8 mg/dl) and the neutrophil-to-lymphocyte ratio (NLR; ≥12.6) upon admission were used to dichotomize patients. RESULTS: Of the 73 patients, 63% were men; the average age was 56 years, and the median length of hospital stay was 10 (25th: 4; 75th: 17) days. When nutrition risk screening tools were used, 85% were at risk according to Nutritional Risk Screening (≥3 points), whereas 42% had high risk according to the Modified Nutrition Risk in the Critically Ill (mNUTRIC; ≥5 points), and 57% were moderately or severely malnourished according to the Subjective Global Assessment (B or C). Mortality was higher in the group with NLR ≥12.6 than in the group with NLR <12.6, with no difference between CRP groups. A significant association was found only between NLR and mNUTRIC, even when adjusted by sex, age, and body mass index (odds ratio, 1.36; 95% CI, 1.06-1.76; P = 0.016), but not between CRP and nutrition risk. CONCLUSION: Although the inflammatory marker CRP is the most used in hospital clinical practice, we found that only NLR was associated with nutrition risk (NUTRIC score).
Subject(s)
COVID-19 , Nutritional Status , Biomarkers , C-Reactive Protein , Critical Illness , Cross-Sectional Studies , Female , Humans , Intensive Care Units , Lymphocytes , Male , Middle Aged , Neutrophils , Nutrition Assessment , Retrospective StudiesABSTRACT
BACKGROUND & AIMS: The Remote Malnutrition Application (R-MAPP) was developed during the COVID-19 pandemic to provide support for health care professionals (HCPs) working in the community to complete remote nutritional assessments, and provide practical guidance for nutritional care. The aim of this study was to modify the R-MAPP into a version suitable for children, Pediatric Remote Malnutrition Application (Pedi-R-MAPP), and provide a structured approach to completing a nutrition focused assessment as part of a technology enabled care service (TECS) consultation. METHODS: A ten-step process was completed: 1) permission to modify adult R-MAPP, 2) literature search to inform the Pedi-R-MAPP content, 3) Pedi-R-MAPP draft, 4) international survey of HCP practice using TECS, 5) nutrition experts invited to participate in a modified Delphi process, 6) first stakeholder meeting to agree purpose/draft of the tool, 7) round-one online survey, 8) statements with consensus removed from survey, 9) round-two online survey for statements with no consensus and 10) second stakeholder meeting with finalisation of the Pedi-R-MAPP nutrition awareness tool. RESULTS: The international survey completed by 463 HCPs, 55% paediatricians, 38% dietitians, 7% nurses/others. When HCPs were asked to look back over the last 12 months, dietitians (n = 110) reported that 5.7 ± 10.6 out of every 10 appointments were completed in person; compared to paediatricians (n = 182) who reported 7.5 ± 7.0 out of every 10 appointments to be in person (p < 0.0001), with the remainder completed as TECS consultations. Overall, 74 articles were identified and used to develop the Pedi-R-MAPP which included colour-coded advice using a traffic light system; green, amber, red and purple. Eighteen participants agreed to participate in the Delphi consensus and completed both rounds of the modified Delphi survey. Agreement was reached at the first meeting on the purpose and draft sections of the proposed tool. In round-one of the online survey, 86% (n = 89/104) of statements reached consensus, whereas in round-two 12.5% (n = 13/104) of statements reached no consensus. At the second expert meeting, contested statements were discussed until agreement was reached and the Pedi-R-MAPP could be finalised. CONCLUSION: The Pedi-R-MAPP nutrition awareness tool was developed using a modified Delphi consensus. This tool aims to support the technological transformation fast-tracked by the COVID-19 pandemic by providing a structured approach to completing a remote nutrition focused assessment, as well as identifying the frequency of follow up along with those children who may require in-person assessment.
Subject(s)
Child Health , Consensus , Delphi Technique , Nutrition Assessment , Remote Consultation/instrumentation , Remote Consultation/methods , Adult , COVID-19 , Child , Dietetics/instrumentation , Dietetics/methods , Evidence-Based Practice , Female , Humans , Male , Nutritional Status , Pediatrics/instrumentation , Pediatrics/methods , SARS-CoV-2ABSTRACT
BACKGROUND: Cervical cancer is the second most common cancer among women in developing countries. Malnutrition is associated with poor prognosis and early detection of malnutrition and timely nutritional interventions can improve the outcome for cervical cancer patients. The study was aimed to assess the association between the nutritional status and survival of cervical cancer patients. METHODS: A prospective cohort study design was used. Overall 175 cervical cancer patients were followed over one year period with (median 8.5 mo, range (3.6-12). RESULTS: The prevalence of malnutrition determined by means of the PG-SGA was 17.7% at admission and 47.1% at the end of follow-up. According to the SGA, one in three (29.7%) patients required nutritional intervention at the end of follow-up. Patients who were malnourished (PG-SGA-B and C) had an increased risk of mortality (Hazard Ratio [HR]: 3.12, 95% CI: 1.23 - 7.86) as compared to those who were well nourished (PG-SGA-A). Patients from rural areas had an increased risk of mortality (HR: 6.99, 95% CI: 2.07 - 23.58) compared to patients from urban areas. CONCLUSION: In the context of developing country setting and COVID19 outbreak, malnutrition significantly decreases cervical cancer survival. A thorough nutrition assessment using scored PG-SGA is needed.
Subject(s)
COVID-19 , Malnutrition , Uterine Cervical Neoplasms , Female , Humans , Malnutrition/diagnosis , Nutrition Assessment , Nutritional Status , Prospective Studies , SARS-CoV-2 , Uterine Cervical Neoplasms/complications , Uterine Cervical Neoplasms/epidemiologySubject(s)
COVID-19 , Cardiovascular Diseases , Critical Illness , Heart Disease Risk Factors , Hospital Mortality , Humans , Nutrition Assessment , Prognosis , Risk Factors , SARS-CoV-2ABSTRACT
The prevalence of risk factors for malnutrition has increased during the coronavirus disease 2019 (COVID-19) pandemic. These risk factors include various symptoms and effects of COVID-19, such as breathlessness, coughing, inflammation, sarcopenia, anorexia and loss of taste or smell, as well as the side effects of treatment. In addition, public health infection prevention and control measures can inadvertently reduce access to food and increase social isolation, thus adversely affecting people's nutritional status. This article outlines practical interventions for preventing and managing malnutrition in the community, particularly where it is exacerbated by the social restrictions in place to contain the COVID-19 pandemic.
Subject(s)
COVID-19/physiopathology , Malnutrition/prevention & control , Malnutrition/therapy , Nutrition Assessment , Nutritional Support , Pandemics , COVID-19/epidemiology , Food Supply , Humans , Malnutrition/complications , Malnutrition/etiology , Nutritional Status , Risk Factors , United Kingdom/epidemiologyABSTRACT
Recent European Society of Parenteral and Enteral Nutrition guidelines highlighted the interest of prevention, diagnosis and treatment of malnutrition in the management of coronavirus disease 19 (COVID-19) patients. The aim of our study was to evaluate the prevalence of malnutrition in patients hospitalised for COVID-19. In a prospective observational cohort study malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition (GLIM) two-step approach. Patients were divided into two groups according to the diagnosis of malnutrition. Covariate selection for the multivariate analysis was based on P <0·2 in univariate analysis, with a logistic regression model and a backward elimination procedure. A partitioning of the population was realised. Eighty patients were prospectively enrolled. Thirty patients (37·5 %) had criteria for malnutrition. The need for intensive care unit admission (n 46, 57·5 %) was similar in the two groups. Three patients who died (3·75 %) were malnourished. Multivariate analysis exhibited that low BMI (OR 0·83, 95 % CI 0·73, 0·96, P = 0·0083), dyslipidaemia (OR 29·45, 95 % CI 3·12, 277·73, P = 0·0031), oral intake reduction <50 % (OR 3·169, 95 % CI 1·04, 9·64, P = 0·0422) and glomerular filtration rate (Chronic Kidney Disease Epidemiology Collaboration; CKD-EPI) at admission (OR 0·979, 95 % CI 0·96, 0·998, P = 0·0297) were associated with the occurrence of malnutrition. We demonstrate the existence of a high prevalence of malnutrition in a general cohort of COVID-19 inpatients according to GLIM criteria. Nutritional support in COVID-19 care seems an essential element.
Subject(s)
COVID-19/complications , Inpatients/statistics & numerical data , Malnutrition/epidemiology , SARS-CoV-2 , Adult , Aged , Aged, 80 and over , Female , Humans , Logistic Models , Male , Malnutrition/virology , Middle Aged , Nutrition Assessment , Prevalence , Prospective Studies , Young AdultABSTRACT
BACKGROUND: The nutrition status of coronavirus disease 2019 patients is unknown. This study evaluates clinical and nutrition characteristics of severely and critically ill patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and investigates the relationship between nutrition risk and clinical outcomes. METHODS: A retrospective, observational study was conducted at West Campus of Union Hospital in Wuhan. Patients confirmed with SARS-CoV-2 infection by a nucleic acid-positive test and identified as severely or critically ill were enrolled in this study. Clinical data and outcomes information were collected and nutrition risk was assessed using Nutritional Risk Screening 2002 (NRS). RESULTS: In total, 413 patients were enrolled in this study, including 346 severely and 67 critically ill patients. Most patients, especially critically ill patients, had significant changes in nutrition-related parameters and inflammatory markers. As for nutrition risk, the critically ill patients had significantly higher proportion of high NRS scores (P < .001), which were correlated with inflammatory and nutrition-related markers. Among 342 patients with NRS score ≥3, only 84 (of 342, 25%) received nutrition support. Critically ill patients and those with higher NRS score had a higher risk of mortality and longer stay in hospital. In logistic regression models, 1-unit increase in NRS score was associated with the risk of mortality increasing by 1.23 times (adjusted odds ratio, 2.23; 95% CI, 1.10-4.51; P = .026). CONCLUSIONS: Most severely and critically ill patients infected with SARS-CoV-2 are at nutrition risk. The patients with higher nutrition risk have worse outcome and require nutrition therapy.
Subject(s)
COVID-19/therapy , Critical Illness , Nutrition Assessment , Nutritional Status , COVID-19/diagnosis , COVID-19/mortality , COVID-19 Nucleic Acid Testing , China/epidemiology , Critical Care , Humans , Nutritional Support , Retrospective Studies , SARS-CoV-2ABSTRACT
Recent European Society of Parenteral and Enteral Nutrition guidelines highlighted the interest of prevention, diagnosis and treatment of malnutrition in the management of coronavirus disease 19 (COVID-19) patients. The aim of our study was to evaluate the prevalence of malnutrition in patients hospitalised for COVID-19. In a prospective observational cohort study malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition (GLIM) two-step approach. Patients were divided into two groups according to the diagnosis of malnutrition. Covariate selection for the multivariate analysis was based on P <0·2 in univariate analysis, with a logistic regression model and a backward elimination procedure. A partitioning of the population was realised. Eighty patients were prospectively enrolled. Thirty patients (37·5 %) had criteria for malnutrition. The need for intensive care unit admission (n 46, 57·5 %) was similar in the two groups. Three patients who died (3·75 %) were malnourished. Multivariate analysis exhibited that low BMI (OR 0·83, 95 % CI 0·73, 0·96, P = 0·0083), dyslipidaemia (OR 29·45, 95 % CI 3·12, 277·73, P = 0·0031), oral intake reduction <50 % (OR 3·169, 95 % CI 1·04, 9·64, P = 0·0422) and glomerular filtration rate (Chronic Kidney Disease Epidemiology Collaboration; CKD-EPI) at admission (OR 0·979, 95 % CI 0·96, 0·998, P = 0·0297) were associated with the occurrence of malnutrition. We demonstrate the existence of a high prevalence of malnutrition in a general cohort of COVID-19 inpatients according to GLIM criteria. Nutritional support in COVID-19 care seems an essential element.
Subject(s)
COVID-19/complications , Inpatients/statistics & numerical data , Malnutrition/epidemiology , SARS-CoV-2 , Adult , Aged , Aged, 80 and over , Female , Humans , Logistic Models , Male , Malnutrition/virology , Middle Aged , Nutrition Assessment , Prevalence , Prospective Studies , Young AdultABSTRACT
BACKGROUND: Symptomatic severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) infection incidence is higher in the elderly patients. Pre-existing geriatric conditions such as comorbidity and frailty seem related to worse hospital outcomes. AIMS: To assess the role of nutritional status as an independent prognostic factor for in-hospital death in elderly patients. METHODS: Consecutive elderly patients (age > 65 years) hospitalized for novel coronavirus disease (COVID-19) were enrolled. Demographics, laboratory and comorbidity data were collected. Nutritional status was evaluated using the Geriatric Nutritional Risk Index (GNRI). Uni- and multivariate Cox regression analyses to evaluate predictors for in-hospital death were performed. RESULTS: One hundred and nine hospitalized elderly patients (54 male) were consecutively enrolled. At univariate analysis, age (HR 1.045 [CI 1.008-1.082]), cognitive impairment (HR 1.949 [CI 1.045-3.364]), C-reactive protein (HR 1.004 [CI 1.011-1.078]), lactate dehydrogenases (HR 1.003 [CI 1.001-1.004]) and GNRI moderate-severe risk category (HR 8.571 [CI 1.096-67.031]) were risk factors for in-hospital death, while albumin (HR 0.809 [CI 0.822-0.964]), PaO2/FiO2 ratio (HR 0.996 [CI 0.993-0.999]) and body mass index (HR 0.875 [CI 0.782-0.979]) were protective factors. Kaplan-Meier survival curves showed a significative higher survival in patients without GNRI moderate or severe risk category (p = 0.0013). At multivariate analysis, PaO2/FiO2 ratio (HR 0.993 [CI 0.987-0.999], p = 0.046) and GNRI moderate-severe risk category (HR 9.285 [1.183-72.879], p = 0.034) were independently associated with in-hospital death. CONCLUSION: Nutritional status assessed by GNRI is a significative predictor of survival in elderly patients hospitalized for COVID-19. The association between GNRI and PaO2/FiO2 ratio is a good prognostic model these patients.
Subject(s)
Coronavirus Infections , Pandemics , Pneumonia, Viral , Aged , Aged, 80 and over , Betacoronavirus , COVID-19 , Female , Geriatric Assessment , Humans , Male , Malnutrition/diagnosis , Malnutrition/epidemiology , Nutrition Assessment , Nutritional Status , Prognosis , Risk Factors , SARS-CoV-2ABSTRACT
BACKGROUND & AIMS: Nutritional knowledge in patients with SARS-Cov2 infection (COVID-19) is limited. Our objectives were: i) to assess malnutrition in hospitalized COVID-19 patients, ii) to investigate the links between malnutrition and disease severity at admission, iii) to study the impact of malnutrition on clinical outcomes such as transfer to an intensive care unit (ICU) or death. METHODS: Consecutive patients hospitalized in a medicine ward at a university hospital were included from March 21st to April 24th 2020 (n = 114, 60.5% males, age: 59.9 ± 15.9 years). Nutritional status was defined using Global Leadership Initiative on Malnutrition (GLIM) criteria. Clinical, radiological and biological characteristics of COVID-19 patients were compared according to the presence of malnutrition. Logistic regression was used to assess associations between nutritional parameters and unfavourable outcomes such as transfer to intensive care unit (ICU) or death. RESULTS: The overall prevalence of malnutrition was 42.1% (moderate: 23.7%, severe: 18.4%). The prevalence of malnutrition reached 66.7% in patients admitted from ICU. No significant association was found between nutritional status and clinical signs of COVID-19. Lower albumin levels were associated with a higher risk of transfer to ICU (for 10 g/l of albumin, OR [95%CI]: 0.31 [0.1; 0.7]; p < 0.01) and this association was independent of age and CRP levels. CONCLUSIONS: COVID-19 in medical units dedicated to non-intensive care is associated with a high prevalence of malnutrition, especially for patients transferred from ICU. These data emphasize the importance of early nutritional screening in these patients to adapt management accordingly.
Subject(s)
Betacoronavirus , Coronavirus Infections/complications , Hospitalization , Malnutrition/epidemiology , Pneumonia, Viral/complications , Adult , Aged , COVID-19 , Female , France/epidemiology , Hospital Mortality , Humans , Longitudinal Studies , Male , Malnutrition/complications , Middle Aged , Nutrition Assessment , Pandemics , Prevalence , SARS-CoV-2 , Severity of Illness IndexABSTRACT
The viral epidemic caused by the new Coronavirus SARS-CoV-2 is responsible for the new Coronavirus disease-2019 (Covid-19). Fifteen percent of the Covid-19 patients will require hospital stay, and 10% of them will need urgent respiratory and hemodynamic support in the intensive care unit (ICU). Covid-19 is an infectious disease characterized by inflammatory syndrome, itself leading to reduced food intake and increased muscle catabolism. Therefore Covid-19 patients are at high risk of being malnourished, making the prevention of malnutrition and the nutritional management key aspects of care. Urgent, brutal and massive arrivals of patients needing urgent respiratory care and artificial ventilation lead to the necessity to reorganize hospital care, wards and staff. In that context, nutritional screening and care may not be considered a priority. Moreover, at the start of the epidemic, due to mask and other protecting material shortage, the risk of healthcare givers contamination have led to not using enteral nutrition, although indicated, because nasogastric tube insertion is an aerosol-generating procedure. Clinical nutrition practice based on the international guidelines should therefore adapt and the use of degraded procedures could unfortunately be the only way. Based on the experience from the first weeks of the epidemic in France, we emphasize ten challenges for clinical nutrition practice. The objective is to bring objective answers to the most frequently met issues to help the clinical nutrition caregivers to promote nutritional care in the hospitalized Covid-19 patient. We propose a flow chart for optimizing the nutrition management of the Covid-19 patients in the non-ICU wards.