Nutritional risk predicts readmission within 30 and 180 days after discharge among older adult patients across a broad spectrum of diagnoses.

BACKGROUND AND AIMS: Hospital readmissions can have negative consequences for older adult patients, their relatives, the hospital, and society. Previous studies indicate that older adult patients who are at nutritional risk during hospital admission are at higher risk of readmission. There is a lack of studies investigating this relationship across different older adult patient groups while using recommended instruments and adjusting for relevant confounders. Thus, the aim of the present study was to investigate whether nutritional status according to the Nutrition Risk Screening 2002 during hospitalization predicted readmission among older adult patients within 30 and 180 days across a broad spectrum of wards and diagnoses when adjusting for age, sex, length-of-stay, diagnosis, and discharge destination. MATERIALS AND METHODS: The present study is a retrospective cohort study based on registry data and included 21,807 older adult patients (≥65 years) hospitalized during a 5-year period. In order to investigate the relationship between nutritional risk and readmission, hierarchical logistic regression analyses with readmission within 30 days (n = 8371) and 180 days (n = 7981) as the dependent variable were performed. RESULTS: Older adult patients at nutritional risk during the index admission were 1.44 times more likely to be readmitted within 30 days after discharge (P < 0.001), and 1.47 times more likely to be readmitted within 180 days after discharge (P < 0.001), compared to older adult patients who were not at nutritional risk during index admission when adjusting for age, sex, discharge destination, diagnosis group, and length-of-stay. CONCLUSIONS: Our results highlight the importance of focusing on nutritional status in older adults as a factor in the prevention of readmissions, including ensuring that practices, resources, and guidelines support appropriate screening procedures. Because nutritional risk predicts readmission both in a 30-days and 180-days perspective, the results point to the importance of ensuring follow-up on the screening result, both in the hospital context and after discharge.

Comparison of different nutritional screening tools in nutritional screening of patients with cirrhosis: A cross-sectional observational study.

Aims: The Royal Free Hospital Nutritional Prioritizing Tool (RFH-NPT), the Liver Disease Undernutrition Screening Tool (LDUST) and Nutritional Risk Screening 2002 (NRS2002) were used by nurses to screen, compare, and analyze the nutritional status of patients with liver cirrhosis. The application value of different screening tools was summarized in the nutritional screening of patients with liver cirrhosis. Methods: In this study, LDUST, RFH-NPT, and NRS2002 were used by nurses to screen the nutritional status of hospitalized patients with liver cirrhosis within 24-48 h after admission. The study calculated validity indicators such as sensitivity, specificity, the area under the receiver operating curve (AUC), and reliability indicators such as the Kappa coefficient. The efficacy of these screening tools in the nutritional screening of patients with liver cirrhosis was compared. Results: Among the 207 patients, LDUST and NRS2002 identified 72.9 % and 23.7 % as undernourished, respectively. The sensitivity of LDUST and NRS2002 were 92.1 % and 30.0 %, respectively. The Kappa value of LDUST and RFH-NPT was 0.620, and the Kappa value of LDUST compared with NRS2002 was 0.144. Conclusion: This study shows that the Liver Disease Undernutrition Screening Tool, a special screening tool for patients with liver cirrhosis, has a more reliable screening effect and higher sensitivity than NRS2002. The Liver Disease Undernutrition Screening Tool is recommended for nutritional screening in patients with liver cirrhosis.

NRS2002 score as a prognostic factor in solid tumors treated with immune checkpoint inhibitor therapy: a real-world evidence analysis.

To observe the antitumour efficacy of programmed death 1 (PD-1) inhibitors in the real world and explore the relationship between NRS2002 score or other clinical characteristics and immunotherapy efficacy, we retrospectively analyzed 341 tumor patients who received immune checkpoint inhibitor (ICI) treatment at one center. A total of 341 solid tumor patients treated with ICIs from June 2018 to December 2021 were retrospectively included in this study. Patient characteristics, ICI responses, and survival status were documented, and the relationships between clinical factors and survival were analyzed. Among all patients, the median progression-free survival (PFS) was 5.8 months, and the median overall survival (OS) was 12.5 months. The Performance Status (PS), NRS2002 score, The Naples Prognostic Score (NPS), Lymphocyte and C-reactive protein ratio (LCR), line of therapy, and nutritional support were significantly related to PFS or OS according to univariate analysis. The median PFS and OS were significantly better in the group without nutritional risk (NRS2002 0-2) than those with nutritional risk (NRS2002 ≥ 3) (PFS: HR = 1.82, 95% CI 1.30-2.54, p value < .001; OS: HR = 2.49, 95% CI 1.73-3.59, p value < .001). Cox regression analysis revealed that the NRS2002 score was an independent prognostic factor for both PFS and OS. The objective response rate (ORR) in the group at nutritional risk was lower than that in the group without nutritional risk (8.33% and 19.71%, respectively, p value = .037). Patients at nutritional risk according to the NRS2002 score at initial treatment had a poorer prognosis than those without nutritional risk. The NRS2002 could be used as a preliminary index to predict the efficacy of immune checkpoint inhibitor therapy.

The Global Leadership Initiative on Malnutrition criteria for diagnosis of malnutrition and outcomes prediction in emergency abdominal surgery.

OBJECTIVES: Malnutrition has adverse postoperative outcomes, especially in emergency surgery. Among the numerous tools for nutritional assessment, this study aims to investigate malnutrition diagnosed by Global Leadership Initiative on Malnutrition criteria and the Global Leadership Initiative on Malnutrition predictive value for outcomes after emergency abdominal surgery. METHODS: This was a prospective observational study. Among the 468 patients undergoing emergency abdominal surgery admitted to a department of emergency surgery from June 2020 to December 2021, 53 patients were not eligible for enrollment, and 19 patients had missing data. Thus, the final number of participants was 396. Muscle mass was evaluated by skeletal muscle index at the third lumbar vertebra on computed tomography scans, and the lower quartile was defined as the threshold of muscle mass reduction. The associations of Global Leadership Initiative on Malnutrition, Global Leadership Initiative on Malnutrition (muscle mass reduction excluded), and skeletal muscle index with in-hospital mortality, postoperative complications, and postoperative stay were evaluated using χ2. In addition, confounding factors were screened, regression models were established, and the Global Leadership Initiative on Malnutrition predictive value was analyzed for clinical outcome. Ethical approval was obtained from the appropriate department. RESULTS: Malnutrition was observed in 19.9% of the total 396 patients based on the Global Leadership Initiative on Malnutrition and in 12.4% on the Global Leadership Initiative on Malnutrition (muscle mass reduction excluded). Sarcopenia by skeletal muscle index was found in 24.7% of patients. Univariate analysis indicated that in-hospital mortality, postoperative complications, infective complication rate, and postoperative hospital stay were significantly higher in malnourished and sarcopenic patients. Multivariate analysis found that malnutrition diagnosed by the Global Leadership Initiative on Malnutrition was predictive for complications, infective complications, and postoperative stay (total postoperative complications: odds ratio = 3.620; 95% CI, 1.635-8.015; P = 0.002; infective complications: odds ratio = 3.127; 95% CI, 1.194-8.192; P = 0.020; and postoperative stay: regression coefficient = 2.622; P = 0.022). The Global Leadership Initiative on Malnutrition (muscle mass reduction excluded) identified postoperative complications and postoperative stay (total postoperative complications: odds ratio = 3.364; 95% CI, 1.247-9.075; P = 0.017 and postoperative stay: regression coefficient = 3.547; P = 0.009). Sarcopenia by skeletal muscle index was a risk factor for postoperative complications (odds ratio = 3.366; 95% CI, 1.587-7.140; P = 0.002). CONCLUSION: The Global Leadership Initiative on Malnutrition and Global Leadership Initiative on Malnutritison (muscle mass reduction excluded) had predictive value for adverse clinical outcomes due to malnutrition in patients undergoing emergency abdominal surgery.

Malnutrition prevalence in cancer patients in Belgium: The ONCOCARE study.

RATIONALE: Unintentional weight loss and malnutrition are common among cancer patients. Malnutrition has been associated with impaired health-related quality of life, less well-tolerated chemotherapy regimens and shorter life duration. In Belgium there is a lack of epidemiological data on malnutrition in oncology patients at advanced stages of the disease. METHODS: Malnutrition assessment data was collected through a prospective, observational study in 328 patients who started a neoadjuvant anticancer therapy regimen or who started 1st, 2nd or 3rd line anticancer therapy for a metastatic cancer via 3 visits according to regular clinical practice (baseline visit (BV) maximum 4 weeks before start therapy, 1st Follow up visit (FUV1) ± 6 weeks after start therapy, FUV2 ± 4 months after start therapy). Malnutrition screening was evaluated using the Nutritional Risk Screening score 2002 (NRS-2002)and the diagnosis of malnutrition by the GLIM criteria. In addition, SARC-F questionnaire and Fearon criteria were used respectively to screen for sarcopenia and cachexia. RESULTS: Prevalence of malnutrition risk at BV was high: 54.5% of the patients had a NRS ≥ 3 (NRS 2002) and increased during the study period (FUV1: 73.2%, FUV2: 70.1%). Prevalence of malnutrition based on physician subjective assessment (PSA) remained stable over the study period but was much lower compared to NRS results (14.0%-16.5%). At BV, only 10% of the patients got a nutrition plan and 43.9% received ≤ 70% of nutritional needs, percentage increased during FU period (FUV1: 68.4%, FUV2: 67.6%). Prevalence of sarcopenia and cachexia were respectively 12.4% and 38.1% at BV and without significant variation during the study period, but higher than assessed by PSA (11.6% and 6.7% respectively). Figures were also higher compared to PSA. There were modifications in cancer treatment at FUV1 (25.2%) and at FUV2 (50.8%). The main reasons for these modifications at FUV1 were adverse events and tolerability. Patient reported daily questionnaires of food intake showed early nutritional deficits, preceding clinical signs of malnutrition, and therefore can be very useful in the ambulatory setting. CONCLUSIONS: Prevalence of malnutrition and cachexia was high in advanced cancer patients and underestimated by physician assessment. Earlier and rigorous detection of nutritional deficit and adjusted nutritional intake could lead to improved clinical outcomes in cancer patients. Reporting of daily caloric intake by patients was also very helpful with regards to nutritional assessment.

Bayesian diagnostic test evaluation and true prevalence estimation of malnutrition in gastric cancer patients.

BACKGROUND & AIMS: Malnutrition is prevalent among gastric cancer (GC) patients, necessitating early assessment of nutritional status to guide monitoring and interventions for improved outcomes. We aim to evaluate the accuracy and prognostic capability of three nutritional tools in GC patients, providing insights for clinical implementation. METHODS: The present study is an analysis of data from 1308 adult GC patients recruited in a multicenter from July 2013 to July 2018. Nutritional status was assessed using Nutritional Risk Screening 2002 (NRS-2002), Patient-Generated Subjective Global Assessment (PG-SGA) and Global Leadership Initiative on Malnutrition (GLIM) criteria. Bayesian latent class model (LCM) estimated the malnutrition prevalence of GC patients, sensitivity and specificity of nutritional tools. Cox regression model analyzed the relationship between nutritional status and overall survival (OS) in GC patients. RESULTS: Among 1308 GC patients, NRS-2002, PG-SGA, and GLIM identified 50.46%, 76.76%, and 68.81% as positive, respectively. Bayesian LCM analysis revealed that PG-SGA had the highest sensitivity (0.96) for malnutrition assessment, followed by GLIM criteria (0.78) and NRS-2002 (0.65). Malnutrition or being at risk of malnutrition were identified as independent prognostic factors for OS. Use any of these tools improved survival prediction in TNM staging system. CONCLUSION: PG-SGA is the most reliable tool for diagnosing malnutrition in GC patients, whereas NRS-2002 is suitable for nutritional screening in busy clinical practice. Given the lower sensitivity of NRS-2002, direct utilization of GLIM for nutritional assessment may be necessary. Each nutritional tool should be associated with a specific course of action, although further research is needed.

Nutritional status of elderly patients previously ill with COVID-19: Assessment with nutritional risk screening 2002 (NRS-2002) and mini nutritional assessment (MNA-sf).

BACKGROUND: Long-term effects of COVID-19 showed a wide range of symptoms. Also, it was found that older patients were five times more likely than younger patients to develop long-COVID symptoms (1). This study aimed to investigate the use of Nutrition Risk Screening 2002 (NRS-2002) and the Mini Nutrition Assessment-Short Form (MNA-sf) among COVID-19 in elderly patients in Saudi Arabia. METHODS: A total of (n = 159) COVID-19 elderly patients were recruited in the study; the relationship between patients' characteristics, including age, gender, Body Mass Index (BMI), infection history, vaccination and chronic disease were evaluated using NRS-2002 and MNA-sf. Multivariate logistic regression to estimate the Odd Ratio (OR) by comparing the OR of different variables between normal nutritional Status and at-risk and Cohen's kappa (κ) coefficient was assessed to analyse the agreement between both tools. RESULTS: MNA-sf showed a positive association between age and malnutrition risk ≥ 66 years old P = 0.035. Both tools showed a negative association between BMI (P < 0.001 and P = 0.046), respectively and vaccination (P = 0.002 and P = 0.01), respectively, with risk for malnutrition. There was no significant association between Diabetes (DM) and malnutrition risk, but elderly Cardiovascular Disease (CVD) were at malnutrition risk using the NRS- 2002 tool P = 0.003. Inversely, people infected six months or more before malnutrition assessment have a lower risk of malnutrition P = 0.05. CONCLUSIONS: Both tools were valuable and practical tools for screening elderly people with COVID-19 who are at nutritional risk and those in need of additional nutritional intervention. Further research needed to be applied in the relationship between nutritional status during and post-infectious disease for elderly people using cross-sectional and intervention studies in order to prevent malnutrition complications in Saudi Arabia.

Predictive Value of Nutritional Risk for All-Cause Death and Functional Outcomes in Chinese Elderly Patients with Acute Stroke: A 3-Year Follow-Up Study.

Purpose: To explore the predictive value of nutritional risk for all-cause death and functional outcomes among elderly acute stroke patients. Patients and Methods: A total of 479 elderly acute stroke patients were enrolled in this study. The nutritional risk of patients was screened by the GNRI and NRS-2002. The primary outcome was all-cause death, and the secondary outcome was poor prognosis defined as a modified Rankin Scale (mRS) score ≥3. Results: Based on the NRS-2002, patients with nutritional risk had a higher risk of all-cause death at 3 months (adjusted OR: 3.642, 95% CI 1.046~12.689) and at 3 years (adjusted OR: 2.266, 95% CI 1.259~4.076) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.748, 95% CI 1.518~4.972. Based on the GNRI, compared to those without nutritional risk, patients with mild malnutrition also had a higher risk of all-cause death at 3 months (adjusted OR: 7.186, 95% CI 1.550~33.315) and at 3 years (adjusted OR: 2.255, 95% CI 1.211~4.199) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 1.947, 95% CI 1.030~3.680), so patients with moderate and severe malnutrition had a higher risk of all-cause death at 3 months (adjusted OR: 6.535, 95% CI 1.380~30.945) and at 3 years (adjusted OR: 2.498, 95% CI 1.301~4.799) and a higher risk of adverse functional outcomes at 3 months (adjusted OR: 2.213, 95% CI 1.144~4.279). Conclusion: Nutritional risk increases the risk of poor short-term and long-term outcomes in elderly patients with acute stroke. For elderly stroke patients, we should pay attention to early nutritional risk screening, and effective intervention should be provided to improve the prognosis of such patients.

Sex-related differences in the impact of nutritional status on in-hospital mortality in heart failure: a retrospective cohort study.

AIMS: A nutritional status is related to the length of hospitalization and in-hospital mortality of patients with heart failure (HF). The aim of this study is to assess the prognostic impact of nutritional status and body mass index (BMI) on in-hospital mortality among patients with HF relative to their sex. METHODS AND RESULTS: We conducted a retrospective study and analysis of 809 medical records of patients admitted to the Institute of Heart Disease of the University Clinical Hospital in Wroclaw (Poland). Women were statistically significantly older than men (74.67 ± 11.15 vs. 66.76 ± 17.78; P < 0.001). In unadjusted model, significant predictors of the odds of in-hospital mortality for men were underweight (OR = 14.81, P = 0.001) and the risk of malnutrition (OR = 8.979, P < 0.001). In the case of women, none of the traits analysed was significant. In age-adjusted model, significant independent predictors of the odds of in-hospital mortality in the case of men were BMI < 18.5 (OR = 15.423, P = 0.001) and risk of malnutrition (OR = 5.557, P = 0.002). In the case of women, none of the nutritional status traits analysed were significant. In multivariable-adjusted model in men, significant independent predictors of the odds of in-hospital mortality were BMI < 18.5 (OR = 15.978, P = 0.007) compared with having normal body weight and the risk of malnutrition (OR = 4.686, P = 0.015). In the case of women, none of the nutritional status traits analysed were significant. CONCLUSION: Both underweight and the risk of malnutrition are direct predictors of the odds of in-hospital mortality in men, but not in women. The study did not find a relationship between nutritional status and in-hospital mortality in women.

Association between a novel nutrition-inflammation prognostic grading system and overall survival in hospitalized adults with cancer: A retrospective cohort study.

BACKGROUND: Malnutrition and increased systemic inflammatory responses are highly prevalent in patients with cancer and they have a negative effect on prognosis. We aimed to develop a nutrition-inflammation prognostic grading system (NIPGS) for patients with cancer, which incorporates the Nutritional Risk Screening 2002 (NRS 2002) and C-reactive protein (CRP) levels. METHODS: This multicenter retrospective cohort study totally included 6891 patients diagnosed with cancer. A 4 × 4 matrix incorporating the four NRS 2002 categories within each of the four CRP categories was constructed. Groups with approximate hazard ratios (HRs) were clustered into one grade. The NIPGS consists of four grades, with the survival rate gradually decreasing from Grades 1 to 4. The primary outcome was overall survival (OS) and comprehensive survival analyses were performed. RESULTS: During a median follow-up of 18.70 months, 2818 death cases occurred. Kaplan-Meier curve showed the survival rate decreased from Grades 1 to 4 of NIPGS (P < 0.001). The NIPGS was an independent risk factor associated with OS adjusting for confounders, with HRs increasing from 1.22 (95% confidence interval [CI], 1.09-1.36; P < 0.001) in Grade 2, 1.58 (95% CI, 1.39-1.80; P < 0.001) in Grade 3 to 1.92 (95% CI, 1.73-2.13; P < 0.001) in Grade 4. A high NIPGS grade was also associated with an increased risk of short-term mortality, poor quality of life, and longer hospital stay and expenses. Two internal validation cohorts confirmed the results of our study. CONCLUSION: The NIPGS could be an effective prognostic tool for patients with cancer.

The PG-SGA outperforms the NRS 2002 for nutritional risk screening in cancer patients: a retrospective study from China.

Background and aims: As a chronic wasting disease, cancer can lead to metabolic and physiological changes in patients, resulting in severe malnutrition. Therefore, accurate assessment of nutritional status and adoption of scientifically sound nutritional interventions are of great importance for patients with cancer. This study aimed to assess the necessity of implementing the Nutrition Risk Screening 2002 (NRS 2002) tool in conjunction with the Patient-Generated Subjective Global Assessment (PG-SGA) in patients with cancer. Methods: This retrospective study collected the clinical data of cancer patients from November 2011 to December 2018 in the Department of Oncology, Cancer Center, First Hospital of Jilin University. The NRS 2002 and the PG-SGA were used as screening tools for malnutrition. Clinical characteristics and laboratory results were detected. Anthropometric indices including hand-grip strength (HGS), visceral fat area (VFA), calf circumstance (CC), and appendicular skeletal muscle mass index (ASMI) were also collected. The diagnostic results from the NRS 2002 were compared to the malnutrition diagnosis using the PG-SGA. Results: Of the 2,645 patients included in this retrospective study, the nutritional risk was found in 1763 (66.6%) patients based on the PG-SGA, and in 240 (9.1%) patients based on the NRS 2002, respectively. Among the 240 patients evaluated by the NRS 2002 for risk of malnutrition, 230 were also assessed by the PG-SGA as malnourished. There were no significant differences observed in the clinical characteristics and laboratory parameters between the two groups. Conclusion: The PG-SGA is effective and had a higher positive rate in screening malnutrition for patients with cancer. The NRS 2002 is not necessary for patients who are to be assessed with the PG-SGA.

Establishing a machine learning model for predicting nutritional risk through facial feature recognition.

Background: Malnutrition affects many worldwide, necessitating accurate and timely nutritional risk assessment. This study aims to develop and validate a machine learning model using facial feature recognition for predicting nutritional risk. This innovative approach seeks to offer a non-invasive, efficient method for early identification and intervention, ultimately improving health outcomes. Methods: We gathered medical examination data and facial images from 949 patients across multiple hospitals to predict nutritional status. In this multicenter investigation, facial images underwent preprocessing via face alignment and cropping. Orbital fat pads were isolated using the U-net model, with the histogram of oriented gradient (HOG) method employed for feature extraction. Standardized HOG features were subjected to principal component analysis (PCA) for dimensionality reduction. A support vector machine (SVM) classification model was utilized for NRS-2002 detection. Our approach established a non-linear mapping between facial features and NRS-2002 nutritional risk scores, providing an innovative method for evaluating patient nutritional status. Results: In context of orbital fat pad area segmentation with U-net model, the averaged dice coefficient is 88.3%. Our experimental results show that the proposed method to predict NRS-2002 scores achieves an accuracy of 73.1%. We also grouped the samples by gender, age, and the location of the hospital where the data were collected to evaluate the classification accuracy in different subsets. The classification accuracy rate for the elderly group was 85%, while the non-elderly group exhibited a classification accuracy rate of 71.1%; Furthermore, the classification accuracy rate for males and females were 69.2 and 78.6%, respectively. Hospitals located in remote areas, such as Tibet and Yunnan, yielded a classification accuracy rate of 76.5% for collected patient samples, whereas hospitals in non-remote areas achieved a classification accuracy rate of 71.1%. Conclusion: The attained accuracy rate of 73.1% holds significant implications for the feasibility of the method. While not impeccable, this level of accuracy highlights the potential for further improvements. The development of this algorithm has the potential to revolutionize nutritional risk assessment by providing healthcare professionals and individuals with a non-invasive, cost-effective, and easily accessible tool.

Time to act! - A cross-sectional study on how nutritional risk increases during hospitalization and associates with worse outcome.

BACKGROUND & AIMS: Nutritional risk is prevalent, and it develops negatively during hospital stay. The aim of this cohort study was to assess the association of nutritional risk with total costs of hospital care, length of stay, and in-hospital mortality. METHODS: Cross-sectional study with hospitalized patients (n = 3053). Nutritional risk screening 2002 and outcome were investigated. Chi-square, Fisher, and Mann-Whitney tests, univariable and multivariable generalized linear and binary logistic regression models were used. RESULTS: Nutritional risk was detected in 18% (184/1024) of those patients assessed at admission while the number of patients at risk increased 3-fold (47%,152/265) in those screened 14 days after admission (odds ratio 6.25; 95% CI 4.58-8.53, p < 0.001). Nutritionally at-risk patients had 5.6 days longer length of stay (p < 0.001) and 9% higher adjusted total costs compared with non-risk patients (p < 0.001). Adjusted overall risk for in-hospital mortality was 4.4 (95% CI 2.44-7.92, p < 0.001) for patients at nutritional risk. The screening rate was between 52% and 68%, and only 4% of the nutritionally at-risk patients had dietitian consultation during their hospital stay. CONCLUSIONS: The number of patients with nutritional risk increased clearly during hospitalization associating with a four times higher in-hospital mortality and substantially increased hospital costs. The results demonstrate that the nutritional risk and its detrimental influence on the outcome increases during hospitalization emphasizing the importance to screen patients at admission and repeated weekly.

Nutritional status in patients with active pulmonary tuberculosis and new nutritional risk screening model for active tuberculosis: a national, multicenter, cross-sectional study in China.

Background: Tuberculosis (TB) remains a significant challenge for public health and is closely associated with malnutrition; however, few studies have attempted to screen malnutrition among TB patients. The study aimed to evaluate the nutrition status and build a new nutritional screening model for active TB. Methods: A retrospective, multicenter, large cross-sectional study was conducted in China from 1 January 2020 to 31 December 2021. All included patients diagnosed with active pulmonary TB (PTB) were evaluated both by Nutrition Risk Screening 2002 (NRS 2002) and Global Leadership Initiative on Malnutrition (GLIM) criteria. Univariate and multivariate analyses were conducted to screen the risk factors associated with malnutrition, and a new screening risk model, mainly for TB patients, was constructed. Results: A total of 14,941 cases meeting the inclusion criteria were entered into the final analysis. The malnutrition risk rate among PTB patients in China was 55.86% and 42.70%, according to the NRS 2002 and GLIM, respectively. The inconsistency rate between the two methods was 24.77%. A total of 11 clinical factors, including elderly, low body mass index (BMI), decreased lymphocyte cells, taking immunosuppressive agents, co-pleural TB, diabetes mellitus (DM), human immunodeficiency virus (HIV), severe pneumonia, decreased food intake within a week, weight loss and dialysis were identified as independent risk factors of malnutrition based on multivariate analyses. A new nutritional risk screening model was constructed for TB patients with a diagnostic sensitivity of 97.6% and specificity of 93.1%. Conclusions: Active TB patients have severe malnutrition status according to screening by the NRS 2002 and GLIM criteria. The new screening model is recommended for PTB patients as it is more closely tailored to the characteristics of TB.

Elevation of preoperative serum hs-CRP is an independent risk factor for malnutrition in patients with gastric cancer.

Background: Recent studies have reported hypersensitive C-reactive protein (hs-CRP) linked to clinicopathological characteristics and nutritional status of the tumor, but its clinical significance in GC remains unclear. This study aimed to investigate the relationship between preoperative serum hs-CRP level and clinicopathological features and nutritional status in gastric cancer (GC) patients. Methods: The clinical data of 628 GC patients who met the study criteria were analyzed retrospectively. The preoperative serum hs-CRP level was divided into two groups (<1 mg/L and ≥1 mg/L) to evaluate clinical indicators. Nutritional Risk Screening and nutritional assessment of GC patients were performed by the Nutritional Risk Screening 2002 (NRS2002) and the Patient-Generated Subjective Global Assessment (PG-SGA), respectively. The data were subjected to chi-square test, univariate and multivariate logistic regression analyses, respectively. Results: The analysis of 628 GC cases revealed that 338 patients (53.8%) were on malnutrition risk(NRS2002≥3 points), and 526(83.8%) had suspected/moderate to severe malnutrition(PG-SGA≥ 2 points). Preoperative serum hs-CRP level was significantly correlated with age, tumor maximum diameter (TMD), peripheral nerve invasion (PNI), lymph-vascular invasion (LVI), depth of tumor invasion (DTI), lymph node metastasis (LNM), pTNM stage, body weight loss (BWL), body mass index (BMI), NRS2002 score, PG-SGA grade, hemoglobin (HB), total protein (TP), albumin (ALB), prealbumin (PAB) and total lymphocyte count (TLC). Multivariate logistic regression analysis revealed that hs-CRP (OR=1.814, 95%CI=1.174-2.803; P=0.007), age, ALB, BMI, BWL and TMD were independent risk factors for existing malnutritional risk in GC. Similarly, non-malnutrition and suspected/moderate to severe malnutrition groups presented that hs-CRP (OR=3.346, 95%CI=1.833-6.122; P< 0.001), age, HB, ALB, BMI and BWL were independent risk factors for malnutrition in GC. Conclusion: In addition to the generally used nutritional evaluation indicators such as age, ALB, BMI, and BWL, the hs-CRP level may be used as a nutritional screening and evaluation indicator for GC patients.

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

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

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.

AIWW: a new nutrition-screening tool for the oncologic population.

Malnutrition is a common comorbidity among patients with cancer. However, no nutrition-screening tool has been recognized in this population. A quick and easy screening tool for nutrition with high sensitivity and easy-to-use is needed. Based on the previous 25 nutrition-screening tools, the Delphi method was made by the members of the Chinese Society of Nutritional Oncology to choose the most useful item from each category. According to these results, we built a nutrition-screening tool named age, intake, weight, and walking (AIWW). Malnutrition was defined based on the scored patient-generated subjective global assessment (PG-SGA). Concurrent validity was evaluated using the Kendall tau coefficient and kappa consistency between the malnutrition risks of AIWW, nutritional risk screening 2002 (NRS-2002), and malnutrition screening tool (MST). Clinical benefit was calculated by the decision curve analysis (DCA), integrated discrimination improvement (IDI), and continuous net reclassification improvement (cNRI). A total of 11,360 patients (male, n=6,024 (53.0%) were included in the final study cohort, and 6,363 patients had malnutrition based on PG-SGA. Based on AIWW, NRS-2002, and MST, 7,545, 3,469, and 1,840 patients were at risk of malnutrition, respectively. The sensitivities of AIWW, NRS-2002, and MST risks were 0.910, 0.531, and 0.285, and the specificities were 0.768, 0.946, and 0.975. The Kendall tau coefficients of AIWW, NRS-2002, and MST risks were 0.588, 0.501, and 0.326, respectively. The area under the curve of AIWW, NRS-2002, and MST risks were 0.785, 0.739, and 0.630, respectively. The IDI, cNRI, and DCA showed that AIWW is non-inferior to NRS-2002 (IDI: 0.002 (-0.009, 0.013), cNRI: -0.015 (-0.049, 0.020)). AIWW scores can also predict the survival of patients with cancer. The missed diagnosis rates of AIWW, NRS-2002, and MST were 0.09%, 49.0%, and 73.2%, respectively. AIWW showed a better nutrition-screening effect than NRS-2002 and MST for patients with cancer and could be recommended as an alternative nutrition-screening tool for this population.

Prognostic performance of the NRS2002, NUTRIC, and modified NUTRIC to identify high nutritional risk in severe acute pancreatitis patients.

Background: Acute pancreatitis (AP) is the most common gastrointestinal disease requiring hospital admission. AP patients are categorized as mild, moderately severe, and severe AP (SAP). For SAP patients, malnutrition increases susceptibility to infection and mortality. The Nutritional Risk Screening 2002 (NRS 2002), the Nutrition Risk in Critically Ill (NUTRIC) score and modified Nutrition Risk in Critically Ill (mNUTRIC) are nutritional risk screening tools of critically ill patients and have not been validated in patients with SAP. It is essential to evaluate the prognostic performance of these nutritional risk screening tools. Materials and methods: A retrospective study was designed to validate the NRS 2002, NUTRIC, and mNUTRIC when applied to SAP patients. Receiver operating characteristic curves were plotted to investigate the predictive ability of clinical outcomes by comparing areas under the curve (AUC). Appropriate cut-offs were calculated by using Youden's index. Patients were identified as being at high nutritional risk according to the calculated cut-off values. The effects of different scoring systems on mortalities were calculated using the Cox proportional hazards model. Logistic regression was used to assess the association between the energy provision and 28-day mortality. Results: From January 2013 to December 2019, 234 SAP patients were included and analyzed. Patients categorized as high nutritional risk by the NRS 2002 (12.6% versus 1.9% for 28-day and 20.5% versus 3.7% for 90-day), NUTRIC (16.2% versus 0.0% for 28-day and 27.0% versus 0.0% for 90-day), and mNUTRIC (16.4% versus 0.0% for 28-day and 26.4% versus 0.8% for 90-day) had significant higher mortality than those categorized as low nutritional risk. The NUTRIC (AUC: 0.861 for 28-day mortality and 0.871 for 90-day mortality, both cut-off value ≥3) and mNUTRIC (AUC: 0.838 for 28-day and 0.828 for 90-day mortality, both cut-off value ≥3) showed better predictive ability of the 28- and 90-day mortality than the NRS 2002 (AUC: 0.706 for 28-day mortality and 0.695 for 90-day mortality, both cut-off value ≥5). Conclusion: The NRS 2002, NUTRIC, and mNUTRIC scores were predictors for the 28- and 90-day mortalities. The NUTRIC and mNUTRIC showed better predictive ability compared with the NRS 2002 when applied to SAP patients.

Prevalence of Malnutrition in Hospitalized Patients in Lebanon Using Nutrition Risk Screening (NRS-2002) and Global Leadership Initiative on Malnutrition (GLIM) Criteria and Its Association with Length of Stay.

(1) Background: Prevalence studies on hospital malnutrition are still scarce in the Middle East region despite recent global recognition of clinical malnutrition as a healthcare priority. The aim of this study is to measure the prevalence of malnutrition in adult hospitalized patients in Lebanon using the newly developed Global Leadership Initiative on Malnutrition tool (GLIM), and explore the association between malnutrition and the length of hospital stay (LOS) as a clinical outcome. (2) Methods: A representative cross-sectional sample of hospitalized patients was selected from a random sample of hospitals in the five districts in Lebanon. Malnutrition was screened and assessed using the Nutrition Risk Screening tool (NRS-2002) and GLIM criteria. Mid-upper arm muscle circumference (MUAC) and handgrip strength were used to measure and assess muscle mass. Length of stay was recorded upon discharge. (3) Results: A total of 343 adult patients were enrolled in this study. The prevalence of malnutrition risk according to NRS-2002 was 31.2%, and the prevalence of malnutrition according to the GLIM criteria was 35.6%. The most frequent malnutrition-associated criteria were weight loss and low food intake. Malnourished patients had a significantly longer LOS compared to patients with adequate nutritional status (11 days versus 4 days). Handgrip strength and MUAC measurements were negatively correlated with the length of hospital stay. (4) Conclusion and recommendations: the study documented the valid and practical use of GLIM for assessing the prevalence and magnitude of malnutrition in hospitalized patients in Lebanon, and highlighted the need for evidence-based interventions to address the underlying causes of malnutrition in Lebanese hospitals.