Prevalence Of Nutritional Risk Research Articles

Efficiency of a technology-assisted nutritional screening system: A retrospective analysis of 11,722 admissions in a tertiary hospital

Background and AimNutritional screening is essential for addressing malnutrition and its consequences. However, routine implementation in large hospitals faces several challenges. To overcome these obstacles, the Clinical Nutrition Service of a tertiary hospital developed a technology-assisted nutritional screening system. This study evaluates the system's efficiency in detecting and assessing patients at nutritional risk upon hospital admission. It also examines the association between nutritional risk, clinical outcomes, and sociodemographic characteristics. MethodsThis retrospective, analytical, observational study examined 11,722 hospital admissions of adult patients in 2019, each with a minimum hospital stay of 48 hours in a tertiary hospital. Rates and timing for the detection, referral, and assessment of patients at nutritional risk were calculated. Participants were divided into low (Malnutrition Screening Tool [MST] < 2 points) and moderate/high (MST ≥ 2) nutritional risk groups to evaluate the relationship between nutritional risk and clinical and demographic variables. ResultsWe found that 91% of patients underwent nutritional screening within the first hours of admission, with a median time of 9 hours from admission to screening (interquartile range [IQR] 3-19). The prevalence of nutritional risk (MST ≥ 2) was 21%. All patients identified as being at nutritional risk were immediately referred for a nutritional assessment once identified, with a median referral time of 0 hours (IQR 0-0). This assessment was carried out by a nutritionist for 98% of these patients, with a median time of 19 hours from referral to assessment (IQR 6-24). Compared to the low-risk group, patients with nutritional risk were older, had higher rates of mortality and admission to the intensive care unit (ICU), longer hospital stays, and a higher proportion of men and cancer diagnoses (p=0.00 for all comparisons). After adjusting for age and sex, nutritional risk was significantly associated with a higher probability of ICU admission (Odds Ratio [OR] 1.13; 95% CI 1.02-1.24) and in-hospital mortality (OR 2.32; 95% CI 1.97-2.73). ConclusionThe integration of technology into nutritional screening was highly efficient for early detection and assessment of at-risk patients upon hospital admission. Features of this system could guide other hospitals. The association found between nutritional risk and clinical outcomes emphasizes the importance of prompt and appropriate nutritional interventions.

GLIM-defined malnutrition in patients with acute abdomen associated with poor prognosis and increased economic burden: A cross-sectional study.

The Global Leadership Initiative on Malnutrition (GLIM) criteria have rapidly developed into a principal methodological framework for nutrition diagnosis. However, the applicability of the GLIM criteria in patients with acute abdomen has not been validated. This is a cross-sectional study conducted on patients diagnosed with acute abdomen and admitted to a tertiary hospital in southwest China. Nutrition risk screening was conducted using the Nutrition Risk Screening 2002, and patients identified with nutrition risk were assessed for malnutrition based on the GLIM criteria. We enrolled a total of 440 patients with acute abdomen. The top three diagnoses of acute abdomen were intestinal obstruction (47.2%), acute appendicitis (23.1%), and digestive system perforation (8.8%). The prevalence of nutrition risk was 46.5%, with a malnutrition rate of 32.5% based on the GLIM. Patients with malnutrition according to the GLIM showed significantly higher rates of intensive care unit (ICU) admission (13.28% vs 7.07%; P = 0.003), increased hospitalization costs (median: 3315USD [interquartile range (IQR): 978-7852] vs 1641 [IQR: 816-3523] USD; P < 0.001), and longer length of hospital stay (LOS) (median: 8 [IQR: 5-13] vs 6 [IQR: 4-8] days; P < 0.001) compared with patients without malnutrition. Multivariate analysis indicated that GLIM-defined malnutrition was an independent predictor of hospitalization costs, and severe malnutrition was an independent predictor of ICU admission. GLIM criteria are applicable for diagnosing malnutrition in patients with acute abdomen. The prevalence of malnutrition was high in patients with acute abdomen. Malnutrition was associated with increased ICU admission and LOS, along with higher economic burden.

Association between nutritional risk and fatigue in frailty conditions for older adult patients: a multicentre cross-sectional survey study

Background and aimsFrailty is widespread in the elderly, while there is a bi-directional relationship between frailty and malnutrition. The objectives of this study were to investigate the prevalence and correlation...

Prevalence of nutritional risk and malnutrition in hospitalized patients: a retrospective, cross-sectional study of single-day screening.

Hospital malnutrition remains a significant public health issue, particularly in developing countries. The Global Leadership Initiative on Malnutrition (GLIM) proposed homogenizing criteria to standardize malnutrition diagnosis. This study aimed to retrospectively determine the prevalence of nutritional risk and malnutrition diagnoses among hospitalized patients using the Nutritional Risk Screening (NRS)-2002 screening instrument and the GLIM criteria, respectively. We conducted a retrospective, cross-sectional study from nutritional records of patients hospitalized in a single centre 2021. Nutrition data from records included medical diagnosis, gender, length of stay, age, weight, height, body mass index, weight loss, calf circumference, and middle upper arm circumference. Nutritional risk and malnutrition were evaluated using NRS-2002 and GLIM criteria. Its concordance was further evaluated by using a Kappa test. The study included 616 records of patients; 52.3% (n=322) of the population were male. The prevalence of nutritional risk, according to NRS-2002, was 69.5% (n=428). Nutritional risk as well as malnutrition diagnosis according to GLIM criteria was observed in 87.8% (n=374) of patienttritional risk and malnutrition were evaluated using NRS-2002 and GLIM criteria. Its concordance was further evaluated by using a Kappa test. Ws. Tools showed a strong concordance (κ= 0.732). All anthropometric data, except for height, were found to be significantly different between patients with moderate and severe malnutrition (p<0.05). Our findings highlight a high prevalence of malnutrition in this group of hospitalized patients in Mexico. NRS-2002 demonstrated good agreement with the diagnosis of malnutrition according to GLIM criteria and could be considered part of the straightforward two-step approach for malnutrition; however, further studies are needed.

Malnutrition risk prevalence in hospitalised patients in Castilla-La Mancha: Ten years after the PREDyCES® study

IntroductionThe PREDyCESR study showed ten years ago that malnutrition is a highly prevalent problem at the hospital level. In the present study we investigate the prevalence of malnutrition in hospitals of Castilla La Mancha and its relationship with complications, mortality and length of hospital stay. Methods433 patients (236 men and 197 women), from 4 hospitals were included and randomised within the first 48 h of admission. Nutritional risk was assessed using the NRS-2002 screening test. ResultsThe mean age of the patients was 71.3 ± 0.9 years (alpha-trimmed mean ± insorized standard deviation). Their mean weight was 72.3 ± 0.8 kg and BMI 26.8 ± 0.3 kg/m2. The mean length of hospital stay was 7.2 ± 0.3 days. Of the 433 study patients, 19.4% were defined as ‘at-risk’ by NRS-2002 > 3. Of the patients at risk, 39.3% received nutritional support. Patients at nutritional risk had an increased length of hospital stay (9.6 vs 6.8 days; p = 0.012) and had more complications and/or higher mortality (40.5% of complications and/or mortality vs 16.4%; p < 0.005). The OR of having a complication and/or death was 3.93 (95% CI: 2.36–6.5); p < 0.005. Regarding the results obtained in the PREDyCES® study, no significant differences were found in the prevalence of nutritional risk at patients’ admission (19.4% vs 23%; p = 0.12). ConclusionsThe nutritional risk at hospital admission continues to be high. Patients at nutritional risk have more complications, higher mortality and an increased length of hospital stay.

Prevalencia de riesgo de desnutrición en pacientes hospitalizados en Castilla-La Mancha: diez años después del estudio PREDyCES®

IntroductionThe PREDyCES® study showed ten years ago that malnutrition is a highly prevalent problem at the hospital level. In the present study we investigate the prevalence of malnutrition in hospitals of Castilla-La Mancha and its relationship with complications, mortality and length of hospital stay. Methods433 patients (236 men and 197 women), from 4 hospitals were included and randomised within the first 48hours of admission. Nutritional risk was assessed using the NRS-2002® screening test. ResultsThe mean age of the patients was 71.3±0.9years (alpha-trimmed mean ±Winsorized standard deviation). Their mean weight was 72.3±0.8kg and BMI 26.8±0.3kg/m2. The mean length of hospital stay was 7.2±0.3days. Of the 433 study patients, 19.4% were defined as ‘at-risk’ by NRS-2002>3. Of the patients at risk, 39.3% received nutritional support. Patients at nutritional risk had an increased length of hospital stay (9.6 vs. 6.8 days; P=.012) and had more complications and/or higher mortality (40.5% of complications and/or mortality vs. 16.4%; P<.005). The OR of having a complication and/or death was 3.93 (95%CI: 2.36-6.5); P<.005. Regarding the results obtained in the PREDyCES® study, no significant differences were found in the prevalence of nutritional risk at patients’ admission (19.4% vs. 23%; P=.12). ConclusionsThe nutritional risk at hospital admission continues to be high. Patients at nutritional risk have more complications, higher mortality and an increased length of hospital stay.

Low-intake dehydration and nutrition impact symptoms in older medical patients – A retrospective study

Malnutrition and low-intake dehydration both increase complications and mortality in hospitalized older medical patients. Nutrition Impact Symptoms (NIS) are barriers for obtaining an adequate nutritional intake and possibly adequate fluid. Therefore, we aimed to assess the prevalence of low-intake dehydration and specific NIS, and the relation between low-intake dehydration and specific NIS. A retrospective cohort study among older patients (≥65 years) from the Medical Department at Herlev-Gentofte Hospital and referred to a clinical dietitian. Data about sex, age, BMI, prevalence of nutritional risk (NRS-2002), low-intake dehydration (calculated osmolarity >295mmol/L), and NIS (the EATEN-questionnaire, comprising 16 NIS-questions and whether these were respectively present and limiting nutritional intake) were collected from the hospital records. We included 99 patients (61% women), mean age 81 years (±7.9), median BMI 21.8kg/m2 (IQR:19.5-25.4). Nutritional risk was found in 74%, and low-intake dehydration in 40% of the included patients. The three most frequent NIS-present were: Early satiety (84%), no appetite (82%), and tiredness (72%). The three most frequent NIS-limiting intake were: No appetite (73%), early satiety (69%), and dry mouth (42%). We found low-intake dehydration to be related to a lower prevalence of the following NIS-present; dry mouth (58% vs.80%, p=0.0210), and breathlessness (24% vs.49%, p=0.0179). Among the NIS-limiting intake a lower prevalence of other pains was related to low-intake dehydration (7% vs.29%, p=0.0233). NIS and low-intake dehydration are highly prevalent in older patients. There is limited association between low-intake dehydration and specific NIS.

The Relationship between Nutritional Risk and the Most Common Chronic Diseases in Hospitalized Geriatric Population from Central Poland.

The aim of this study was to assess the relationship between Nutrition Risk Screening 2002 (NRS-2002) and the prevalence of concomitant chronic diseases among hospitalized older adults. This study included 2122 consecutively hospitalized older participants with an average age of 82 years. The criteria to participate were the ability to communicate and give consent. In multivariate design, the prevalence of nutritional risk with at least 3 points in the NRS-2002 score was associated with the presence of stroke, atrial fibrillation, dementia and pressure ulcers. Patients with arterial hypertension, lipid disorders, osteoarthritis and urine incontinence had a significantly lower (better) NRS-2002 score. The explanation of the inverse relationship between some disorders and nutritional risk may be their occurrence in relatively earlier age and the relationship with body mass index. In conclusion, the study revealed which medical conditions coexist with the increased nutritional risk in a "real-world" hospitalized geriatric population. The hospital admission of an older subject with stroke, atrial fibrillation, dementia or pressure ulcers should primarily draw attention to the nutritional risk of the patient.

Prevalence Of Nutritional Risk And Nutritional Support Provided During Admission And At Discharge For Older Patients Prescribed An Exercise Rehabilitation Plan

Prevalence Of Nutritional Risk And Nutritional Support Provided During Admission And At Discharge For Older Patients Prescribed An Exercise Rehabilitation Plan

Relationship between preoperative malnutrition, frailty, sarcopenia, body composition, and anthropometry in elderly patients undergoing major pancreatic and biliary surgery.

To analyze the correlation between preoperative nutritional status, frailty, sarcopenia, body composition, and anthropometry in geriatric inpatients undergoing major pancreatic and biliary surgery. This is a cross-sectional study of the database from December 2020 to September 2022 in the department of hepatopancreatobiliary surgery, Beijing Hospital. Basal data, anthropometry, and body composition were recorded. NRS 2002, GLIM, FFP 2001, and AWGS 2019 criteria were performed. The incidence, overlap, and correlation of malnutrition, frailty, sarcopenia, and other nutrition-related variables were investigated. Group comparisons were implemented by stratification of age and malignancy. The present study adhered to the STROBE guidelines for cross-sectional study. A total of 140 consecutive cases were included. The prevalence of nutritional risk, malnutrition, frailty, and sarcopenia was 70.0, 67.1, 20.7, and 36.4%, respectively. The overlaps of malnutrition with sarcopenia, malnutrition with frailty, and sarcopenia with frailty were 36.4, 19.3, and 15.0%. There is a positive correlation between every two of the four diagnostic tools, and all six p-values were below 0.002. Albumin, prealbumin, CC, GS, 6MTW, ASMI, and FFMI showed a significantly negative correlation with the diagnoses of the four tools. Participants with frailty or sarcopenia were significantly more likely to suffer from malnutrition than their control groups with a 5.037 and 3.267 times higher risk, respectively (for frailty, 95% CI: 1.715-14.794, p = 0.003 and for sarcopenia, 95% CI: 2.151-4.963, p<0.001). Summarizing from stratification analysis, most body composition and function variables were worsen in the ≥70 years group than in the younger group, and malignant patients tended to experience more intake reduction and weight loss than the benign group, which affected the nutrition diagnosis. Elderly inpatients undergoing major pancreatic and biliary surgery possessed high prevalence and overlap rates of malnutrition, frailty, and sarcopenia. Body composition and function deteriorated obviously with aging.

The Mini Nutritional Assessment-Short Form is more effective in predicting clinical outcomes among hospitalised patients with overweight than the Nutritional Risk Screening-2002.

Understanding of the association between nutritional risk and clinical outcomes in hospitalised patients with overweight is still at an early stage. Given the lack of specific tools for the patient with overweight, the objective of this study was to compare two of the main general screening instruments for assessing nutritional risk in predicting clinical outcomes in a population of hospitalised patients with overweight. A retrospective study was carried out in a medium-sized hospital in Brazil, with patients ≥20 years old admitted between July 2017 and December 2019. Patients who were overweight and had records of Nutritional Risk Screening-2002 (NRS-2002) and Mini-Nutritional Assessment-Short Form (MNA-SF) in their medical files were included in the study. Clinical outcomes data (longer length of stay, readmission during the study period and mortality before the end of study or during hospitalisation) were obtained. The Kappa coefficient assessed agreement between both tools, and their performance for predicting outcomes was analysed using characteristic receiver operating curves (ROC). Data were collected from 643 patients. The prevalence of nutritional risk was 17.7% and 36.1% according to the NRS-2002 and MNA-SF (k=0.390; p < 0.001), respectively. According to both tools, all clinical outcomes were significantly more common among individuals at nutritional risk (p < 0.05). Only the MNA-SF showed a significant percentage of predictions for readmission (57.2%) and death during hospitalisation (65.7%). For mortality until the end of the study, the area under the ROC curve was similar for MNA-SF (60.5%) and NRS-2002 (60.7%; p=0.057). The MNA-SF detected a greater proportion of nutritional risk among hospitalised patients with overweight and better predicted all clinical outcomes compared to the NRS-2002 and should be used to screen patients with overweight for nutritional risk.

Edentuslimo e número de medicações estão associados com estado nutricional em idosos: um estudo transversal de base populacional

ABSTRACT Objective: This study evaluated the nutritional status and associated factors among older adults of a southern Brazilian city. Methods: A cross-sectional home-based study, with a probabilistic sample per cluster, was carried out with 282 older adults aged ≥60 years in the city of Veranópolis, Brazil. Through a structured questionnaire, socioeconomic, general and behavioral health aspects were assessed. Nutritional status was assessed using the Mini Nutritional Assessment (MAN®) instrument, categorizing the sample into eutrophic or nutritional risk (risk of malnutrition + malnourished). Oral health was assessed by counting teeth and the use of and need for dental prosthesis. Two independent multivariate models were constructed, using number of daily medication and polypharmacy (≥2 daily medications). Logistic regression was used to verify associations. Results: The prevalence of nutritional risk was 14.5% (N=41). In the final multivariate analysis, users of ≥6 daily medications demonstrated a greater odds ratio (OR) of being at nutritional risk when compared to those who did not use medication daily (OR: 12.16; 95% confidence interval [95%CI]: 1.47 – 100.82). Non-edentulous older adults had 67.7% (p = 0.006) lower OR for nutritional risk when compared to edentulous. Conclusion: The prevalence of nutritional risk was low among this sample, and it was associated with edentulism and number of daily medications.

Factors influencing the prevalence of frailty in older adults with fractures: the association of nutritional status with frailty.

To investigate the association between frailty, malnutrition, comorbid medical conditions and activities of daily living (ADL) in older adult patients with fractures, and to analyse the influential factors of frailty. The FRAIL scale including five components: fatigue, resistance, ambulation, illness, and loss of weight, was used to evaluate frailty. Participants were divided into frailty, pre-frailty and non-frailty groups. The ADL was assessed using the Barthel Index, while the nutrition risk screening tool, NRS-2002, was used to assess the nutritional risk, and the Global Leadership Initiative on Malnutrition diagnostic criteria were used to diagnose the nutritional status. Statistical analysis was performed using univariate and multivariate logistic regression to determine the factors associated with frailty. A total of 166 patients were included in the study, and the incidences of frailty, pre-frailty and non-frailty were 39.2%, 33.1% and 27.7%, respectively. The severe dependence rate (ADL scale of <40) in the frailty, pre-frailty and non-frailty groups was 49.2%, 20.0% and 6.52%, respectively. The prevalence of nutritional risk was 33.7% (56/166), including 56.9% (31/65) in the frailty group and 32.7% (18/55) in the pre-frailty group. Of the 166 patients, 45 (27.1%) were diagnosed with malnutrition, including 47.7% (31/65) in the frailty group and 23.6% (13/55) in the pre-frailty group. Frailty in older adult patients with fractures is widespread, and the prevalence of malnutrition is high. The occurrence of frailty may be related to an advanced age, increased medical comorbidity and impairment in ADL.

Nutrition Risk Screening and Related Factors Analysis of Non-hospitalized Cancer Survivors: A Nationwide Online Survey in China

PurposesThis study investigated the nutritional problems and risks of Chinese non-hospitalized cancer survivors through an online survey.MethodsThe survey included nutritional and clinical questions distributed to non-hospitalized cancer survivors. All data were screened and analyzed with strict quality control. Nutrition Risk Screening-2002 (NRS-2002) was adopted and the related factors were analyzed.ResultsSix thousand six hundred eighty-five questionnaires were included. The prevalence of nutritional risk was 33.9%, which varied according to age, sex, cancer type, TNM staging, oncologic treatment, time interval since last treatment, etc. In the regression analysis, nutritional risk was associated with age, TNM staging, and nutrition support. Patients with leukemia and digestive cancer had the highest NRS-2002 score (3.33 ± 1.45 and 3.25 ± 1.61); the prevalence of nutritional risk (NRS-2002 ≥ 3) was 66.7 and 55.1%, respectively. Patients with a higher TNM stage had higher NRS-2002 scores in non-digestive cancer, which was not seen in digestive cancer. Among digestive, bone, nervous, and respiratory cancer patients, the NRS-2002 score mainly consisted of “impaired nutritional status,” which coincided with the “disease severity score” in leukemia patients. Nutrition intervention was achieved in 79.7 and 15.2% of patients with nutritional risk and no risk. Of the patients, 60.3% exhibited confusion about nutritional problems, but only 25.1% had professional counseling.ConclusionsRegular nutritional risk screening, assessment, and monitoring are needed to cover non-hospitalized cancer survivors to provide nutrition intervention for better clinical outcome and quality of life. By online survey, the nutritional risk of non-hospitalized cancer survivors was found high in China, but the nutrition support or professional consultation were not desirable. The composition of nutritional risk should also be aware of.

Poor Pre-operative Nutritional Status Is a Risk Factor of Post-operative Infections in Patients With Gastrointestinal Cancer-A Multicenter Prospective Cohort Study.

ObjectiveThis study aimed to assess the prognostic value of the Nutritional Risk Score 2002 (NRS2002) and patient-generated subjective global assessment (PG-SGA) for post-operative infections in patients with gastric cancer (GC) and colorectal cancer (CRC) who underwent curative surgery.MethodsThis prospective study included 1,493 GC patients and 879 CRC patients who underwent curative surgery at 18 hospitals in China between April 2017 and March 2020. The NRS2002 and PG-SGA were performed on the day of admission. The relationship between the nutritional status of patients before surgery and post-surgical incidence of infection was analyzed using univariate and multiple logistic regression analyses.ResultsAccording to NRS2002, the prevalence of nutritional risk was 51.1% in GC patients and 63.9% in CRC patients. According to the PG-SGA, 38.9% of GC patients and 54.2% of CRC patients had malnutrition. Approximately 4.4% of the GC patients and 9.9% of the CRC patients developed infectious complications after surgery. The univariate and multiple logistic regression analyses showed that the risk of infections was significantly higher in GC patients with a high nutritional risk score (NRS2002 ≥5) than in those with a low score (NRS2002 <3), and the PG-SGA score was identified as a predictor of post-operative infection complications of CRC.ConclusionThe pre-operative nutritional status of patients with GC or CRC has an impact on post-operative infection occurrence. NRS2002 ≥5 was a risk factor for post-operative infection in patients with GC, and the PG-SGA B/C was a predictor of infections in patients with CRC.

High Prevalence of Nutritional Risk Among Pulmonary Patients Living on the Tibetan Plateau.

BackgroundNutritional risk is associated with adverse clinical outcomes and is more prevalent among pulmonology patients than among patients in other departments. High-altitude environments can affect patients with chronic respiratory diseases, but evidence of the prevalence of nutritional risk among hospitalized patients with respiratory diseases in high-altitude areas is limited. This study aimed to investigate the nutritional risk and status of inpatients with different major respiratory diagnoses permanently living on the Tibetan Plateau (≥3,000 m above sea level).MethodsIn this cross-sectional study, we consecutively recruited inpatients admitted to the Department of Respiratory and Critical Care Medicine at the Tibet Autonomous Region People's Hospital of Lhasa between November 2020 and May 2021. We used the Nutrition Risk Screening (NRS) 2002 tool to assess nutritional risk among these patients. An NRS 2002 score ≥3 points indicates nutritional risk; a score ≥5 indicates high nutritional risk. According to NRS-2002 scores, patients were divided into three groups (NRS-2002 0–2, 3–4, and ≥5). The differences in age, sex, major respiratory diagnoses, comorbidities, body mass index, and laboratory findings among the groups were analyzed.ResultsA total of 289 eligible Tibetan patients were enrolled in the study, and 46.1% (133/246) of them were at nutritional risk (NRS-2002 score ≥3). Twenty-one (7.3%) patients were at high nutritional risk (NRS-2002 score ≥5). The proportions of patients at nutritional risk were relatively high among patients with lung cancer (58.8%), interstitial lung disease (58.3%), pulmonary embolism (52.9%), and tuberculosis (50.0%). Laboratory findings showed that patients with NRS-2002 scores of 3–4 and ≥5 had lower red blood cell counts, serum albumin and hemoglobin levels, and higher C-reactive protein (CRP) levels than those with NRS-2002 scores < 3.ConclusionThe prevalence of nutritional risk was high among pulmonology department inpatients permanently living on the Tibetan Plateau. Patients with lung cancer, interstitial lung disease, pulmonary embolism or tuberculosis were more likely to have nutritional risk than patients with other diagnoses. The nutritional risk of inpatients in the respiratory department in the plateau area should not be ignored, and patients at high nutritional risk should receive timely intervention.

High neutrophil to lymphocytes ratio is associated with nutritional risk in hospitalised, unselected cancer patients: a cross-sectional study

Cancer patients possess metabolic and pathophysiological changes and an inflammatory environment that leads to malnutrition. This study aimed to (i) determine whether there is an association between neutrophil-to-lymphocyte ratio (NLR) and nutritional risk, and (ii) identify the cut-off value of NLR that best predicts malnutrition by screening for nutritional risk (NRS 2002). This cross-sectional study included 119 patients with unselected cancer undergoing chemotherapy and/or surgery. The NRS 2002 was applied within 24 h of hospitalisation to determine the nutritional risk. Systemic inflammation was assessed by blood collection, and data on C-reactive protein (CRP), neutrophils, and lymphocytes were collected for later calculation of NLR. A receiver operating characteristic (ROC) curve was used to identify the best cut-point for NLR value that predicted nutritional risk. Differences between the groups were tested using the Student’s t-, Mann–Whitney U and Chi-Square tests. Logistic regression analyses were performed to assess the association between NLR and nutritional risk. The ROC curve showed the best cut-point for predicting nutritional risk was NLR > 5.0 (sensitivity, 60.9%; specificity, 76.4%). The NLR ≥ 5.0 group had a higher prevalence of nutritional risk than the NLR < 5.0 group (NLR ≥ 5.0: 73.6% vs. NLR < 5.0: 37.9%, p = 0.001). The NLR group ≥ 5.0 showed higher values of CRP and NLR than the NLR < 5.0 group. In addition, patients with NLR ≥ 5.0 also had higher NRS 2002 values when compared to the NLR < 5.0 group (NLR ≥ 5.0: 3.0 ± 1.1 vs. NLR < 5.0: 2.3 ± 1.2, p = 0.0004). Logistic regression revealed an association between NRS and NLR values. In hospitalised unselected cancer patients, systemic inflammation measured by NLR was associated with nutritional risk. Therefore, we highlight the importance of measuring the NLR in clinical practice, with the aim to detect nutritional risk.

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

Background & aimsThe 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.MethodsWe 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.ResultsThe 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.ConclusionsThe 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.

Prevalence of Nutritional Risk at Admission in Internal Medicine Wards in Portugal: The Multicentre Cross-Sectional ANUMEDI Study.

Disease-related undernutrition is highly prevalent and requires timely intervention. However, identifying undernutritionoften relies on physician judgment. As Internal Medicine wards are the backbone of the hospital setting, insight into the prevalence of nutritional risk in this population is essential. We aimed to determine the prevalence of nutritional risk in Internal Medicine wards, to identify its correlates, and to assess the agreement between the physicians' impression of nutritional risk and evaluation by Nutritional Risk Screening 2002. A cross-sectional multicentre study was performed in Internal Medicine wards of 24 Portuguese hospitalsduring 2017. Data on demographics, previous hospital admissions, primary diagnosis, and Charlson comorbidity index score were collected.Nutritional risk at admission was assessed using Nutritional Risk Screening 2002. Agreement between physicians' impressionof nutritional risk and Nutritional Risk Screening 2002 was tested by Cohen's kappa. The study included 729 participants (mean age 74 ± 14.6 years, 51% male). The main reason for admission was respiratorydisease. Mean Charlson comorbidity index score was 5.8 ± 2.8. Prevalence of nutritional risk was 51%. Nutritional risk was associatedwith admission during the previous year (odds ratio = 1.65, 95% confidence interval: 1.22 - 2.24), solid tumour with metastasis (oddsratio = 4.73, 95% confidence interval: 2.06 - 10.87), any tumour without metastasis (odds ratio = 2.04, 95% confidence interval:1.24 -3.34), kidney disease (odds ratio = 1.83, 95% confidence interval: 1.21 - 2.75), peptic ulcer (odds ratio = 2.17, 95% confidence interval: 1.10 - 4.25), heart failure (odds ratio = 1.51, 95% confidence interval: 1.11 - 2.04), dementia (odds ratio = 3.02, 95% confidence interval: 1.96 - 4.64), and cerebrovascular disease (odds ratio = 1.62, 95% confidence interval: 1.12 - 2.35). Agreement between physicians' evaluation of nutritional status and Nutritional Risk Screening 2002 was weak (Cohen's kappa = 0.415, p < 0.001). Prevalence of nutritional risk in the Internal Medicine population is very high. Admission during the previous year andmultiple comorbidities increase the odds of being at-risk. Subjective physician evaluation is not appropriate for nutritional screening. The high prevalence of at-risk patients and poor subjective physician evaluation suggest the need to implement mandatorynutritional screening.

Nutritional Risk Screening and Body Composition in COVID-19 Patients Hospitalized in an Internal Medicine Ward.

BackgroundMalnutrition in patients hospitalized in internal medicine wards is highly prevalent and represents a prognostic factor of worse outcomes. Previous evidence suggested the prognostic role of the nutritional status in patients affected by the coronavirus disease 2019 (COVID-19). We aim to investigate the nutritional risk in patients with COVID-19 hospitalized in an internal medicine ward and their clinical outcomes using the Nutritional Risk Screening 2002 (NRS-2002) and parameters derived from bioelectrical impedance analysis (BIA).MethodsRetrospective analysis of patients with COVID-19 aimed at exploring: 1) the prevalence of nutritional risk with NRS-2002 and BIA; 2) the relationship between NRS-2002, BIA parameters and selected outcomes: length of hospital stay (LOS); death and need of intensive care unit (ICU); prolonged LOS; and loss of appetite.ResultsData of 90 patients were analyzed. Patients at nutritional risk were 92% with NRS-2002, with BIA-derived parameters: 88% by phase angle; 86% by body cell mass; 84% by fat-free mass and 84% by fat mass (p-value ≤0.001). In ROC analysis, NRS had the maximum sensitivity in predicting the risk of death and need of ICU and a prolonged hospitalization showing moderate-low specificity; phase angle showed a good predictive power in terms of AUC. NRS-2002 was significantly associated with LOS (β 12.62, SE 5.79). In a multivariate analysis, blood glucose level and the early warning score are independent predictors of death and need of ICU (OR 2.79, p ≤0.001; 1.59, p-0.029, respectively).ConclusionPresent findings confirm the clinical utility of NRS-2002 to assess nutritional risk in patients with COVID-19 at hospital admission and in predicting LOS, and that bioimpedance does not seem to add further predictive value. An early detection of nutritional risk has to be systematically included in the management of COVID-19 patients hospitalized in internal medicine wards.