Should a single growth standard be used to judge the nutritional status of children under age 5 y globally? Debate consensus.

The participants in this debate agreed that: 1) target-based advocacy is required for ensuring countries' engagement and political commitments toward reducing child malnutrition, and the tools used for monitoring progress should be accurate and pose no risk of harmful consequences; and 2) physical growth is not the only dimension of nutritional status to be monitored in clinical and public health practice; anthropometry is thus only one of the diagnostic indicators of nutritional status. Key disagreements included methodological approaches for developing a single growth standard to evaluate nutritional status globally; the relative utility of universal and contextual growth standards for clinical practice and public health; the balance of benefits, harms, and acceptability among stakeholders; and their use as a screening or a definitive tool in individual and public health nutrition. Noteworthy agreements for research priorities included comparison of benefits and harms of using universal compared with contextual growth standards/references and different stakeholders' perception of expectations from and utility of growth standards.

Elderly Patients at Risk of Malnutrition Presenting to a Tertiary Hospital in Nepal: A Descriptive Cross-sectional Study.

INTRODUCTION: The nutritional status of elderly people is crucial for healthy aging, enabling them to maintain productive lives and reduce the progression of chronic diseases. Given that the quality of life tends to decline with age, it becomes particularly crucial for elderly individuals. Therefore, this study was aimed to find out the prevalence of elderly patients at risk of malnutrition in a tertiary hospital. METHODS: This descriptive cross-sectional study was conducted among 281 elderly patients in a tertiary hospital from 2 January 2023 to 10 February 2023 after obtaining ethical approval. Non-probability purposive sampling technique was used. A face-to-face interview was conducted using a structured interview schedule with the elderly in the absence of their caregiver using a standard Mini-Nutritional Assessment tool for nutritional status, and WHOQOL_OLD quality of life for the elderly to assess the quality of life. Point estimate at 95% Confidence Interval was calculated. RESULTS: Out of 281 elderly patients enrolled in our study, 164 (58.36%) (52.64-64.16, 95% Confidence Interval) were at risk of malnutrition. CONCLUSIONS: The study concluded that older people could be at risk of malnutrition, which could impair their quality of life.

The relationship between early-onset preeclampsia and the prognostic nutritional index and inflammatory markers.

BACKGROUND: Preeclampsia is still a disease whose cause and treatment have not been fully characterised. Early-onset preeclampsia occurs before the 34th week of pregnancy, and late-onset preeclampsia occurs at 34 weeks or older. In our study, we investigated whether the prognostic nutritional index (PNI) and pan immune inflammation value (PIV), which are used in the prognosis and prediction of diseases in new studies in the literature, are useful for predicting early-onset preeclampsia. METHODS: The first group consisted of healthy pregnant women who had a single foetus without any additional disease between 24 and 34 gestational weeks, and the second group consisted of pregnant women who were diagnosed with early-onset preeclampsia and did not have any additional disease or foetal anomalies during the same gestational week. Neutrophil, lymphocyte, monocyte, thrombocyte, ALB, pan immune inflammation value (PIV) and prognostic nutritional index (PNI) scores were recorded. RESULTS: In our case control study, 70 patients with early-onset preeclampsia and 140 pregnant women composed the normotensive (control) group. There was a significant difference between the groups according to PIV (p = 0.04). The prognostic nutritional index (PNI) was significantly lower in the early-onset preeclampsia group than in the normotensive group (p < 0,001). A PNI lower than 36, 30 could only predict early-onset preeclampsia with a low sensitivity of 31.1% and specificity of 45%; the area under the curve was 0,24 (95% confidence interval 0.18-0.31), p < 0,001. CONCLUSION: Patients with PNI scores lower than 36,30 may have early-onset preeclampsia.

Preeclampsia, often referred to as pregnancy poisoning, is a condition that is life-threatening to the mother and baby. It typically develops after the 20th week of pregnancy and is characterised by high blood pressure and deterioration in blood values. Preeclampsia comes in two forms: early and late. The early form occurs before the 34th week and tends to be more severe than the late form, causing narrowing of the vessels supplying the baby, decreased blood flow, and delayed foetal development. The late form commonly appears after the 34th week and is usually milder. Since the early form carries a higher risk and often requires premature delivery of the foetus or termination of the pregnancy, studies are being conducted on its prevention and treatment. This study aimed to investigate the differences in blood parameters between patients with early-onset preeclampsia and pregnant women with normal blood pressure and to assess for differences between both groups.

Can maternal inflammatory and nutritional status, evaluated by the hemoglobin, albumin, lymphocyte, and platelet (HALP) score and the prognostic nutritional index (PNI) in the first trimester, predict late-onset fetal growth restriction?

OBJECTIVE: The aim of this study was to evaluate the potential of immunonutritional markers, specifically the hemoglobin, albumin, lymphocyte, and platelet (HALP) score and the prognostic nutritional index (PNI), in predicting late-onset fetal growth restriction (LO-FGR) during the first trimester. MATERIALS AND METHODS: This retrospective study was conducted at a tertiary care center between October 2022 and August 2023. The study included a total of 213 singleton pregnancies, with 99 women in the LO-FGR group and 114 in the healthy control group, matched by maternal age and gestational age at delivery. All blood samples were collected between 11 and 14 weeks of gestation (during the first-trimester screening test). We analyzed first-trimester laboratory parameters, specifically focusing on hemoglobin levels, white blood cells (WBCs), lymphocytes, platelets, and albumin levels. Afterwards, we calculated the HALP score and PNI, and then compared the values of both groups. RESULTS: Both HALP score (3.58 ± 1.31 vs. 4.19 ± 1.8, p = 0.012) and PNI (36.75 ± 2.9 vs. 39.37 ± 3.96, p < 0.001) were significantly lower in the FGR group than in the control group. The HALP score cut-off value of < 3.43 in predicting FGR had a sensitivity of 62.3% and specificity of 54.5% (AUC = 0.600, 95% CI: 0.528-0.672, p = 0.012). The PNI cut-off value of < 37.9 in predicting FGR had a sensitivity of 65.8% and specificity of 62.9% (AUC = 0.707, 95% CI: 0.632-0.778, p < 0.001). While the HALP score was not a significant predictor of composite adverse neonatal outcomes in the FGR group, PNI showed a cut-off value of < 37.7 with a sensitivity of 60.9% and specificity of 59.7% (AUC = 0.657, 95% CI: 0.581-0.733, p < 0.001). CONCLUSION: The HALP score and PNI are valuable prognostic tools for predicting the risk of FGR in the first trimester. Low PNI values are also associated with composite adverse neonatal outcomes in pregnancies complicated by FGR.

Reduced muscle mass is an important part of Global Leadership Initiative on Malnutrition criteria in nutritional diagnosis of hepatocellular carcinoma.

BACKGROUND: The Global Leadership Initiative on Malnutrition criteria (GLIM) was established to build a global consensus on the diagnostic criteria for malnutrition. The study aimed to assess the prevalence of the malnutrition diagnosed by GLIM criteria for patients with hepatocellular carcinoma (HCC), and to determine the role of the reduced muscle mass defined by CT scans in the GLIM criteria. METHODS: This cohort research was conducted on adult cirrhotic patients with HCC. The risk of malnutrition was screened by Nutritional Risk Screening 2002 (NRS-2002), and malnutrition was diagnosed by GLIM criteria. The third lumbar vertebrae (L3-SMI) were used to represent the muscle mass in GLIM criteria. The variables associated with overall mortality were assessed by multivariate Cox regression analyses. RESULTS: The incidence of malnutrition diagnosed by GLIM criteria was 49.7% (179/360) in patients with HCC. If reduced muscle mass was not included in GLIM criteria, the prevalence of malnutrition was 31.7% (114/360). GLIM-defined malnutrition (HR = 1.979, 95%CI 1.019-3.841, P = 0.044) was independently associated with overall mortality in patients with HCC. However, the GLIM-defined malnutrition (without muscle mass) was not associated with overall mortality (HR = 0.863, 95%CI 0.399-1.867, P = 0.709). CONCLUSIONS: Skeletal muscle mass is an integral component of the GLIM criteria for patients with HCC. The malnutrition is common in patients with HCC, and malnourishment is associated with higher overall mortality. GLIM criteria are recommended to assess the nutritional status of hospitalized patients with HCC, which is recommended and can be used as the basis for nutritional interventions.

Examining the relationship between preoperative nutritional and symptom assessment and postoperative atrial fibrillation in esophageal squamous cell carcinoma patients: a retrospective cohort study.

OBJECTIVE: The study aimed to examine the relationship between preoperative nutritional status, symptom burden, and the occurrence of postoperative atrial fibrillation in Esophageal Squamous Cell Carcinoma patients. METHODS: The study, conducted in the Department of Thoracic Surgery at the Affiliated Huai'an No. 1 People's Hospital of Nanjing Medical University, applied the NRS 2002, SGA and MSAS scoring systems as measures of nutritional status and symptom occurrence in patients diagnosed with ESCC. Univariate and multivariate logistic regression analysis were performed to evaluate the association between nutritional scores, symptom scores, and postoperative complications. RESULTS: The research found a significant correlation between high MSAS scores and postoperative atrial fibrillation. Patients with high symptom burden also tended to have nutritional risk or malnutrition according to the NRS2002 and SGA scores. CONCLUSION: There is a need for healthcare providers to pay attention to ESCC patients' physical and psychological symptoms. Close monitoring of nutritional status and timely nutritional interventions should be integrated into these patients' care plans as they have been found to be related to postoperative complications such as atrial fibrillation.

Geriatric nutritional risk index predicts postoperative delirium in elderly: A meta-analysis.

OBJECTIVES: To review current evidence on using the geriatric nutritional risk index (GNRI) in predicting postoperative delirium (POD) in elderly patients. METHODS: The literature search was performed in core databases to include all the cohort studies on the association between GNRI and risk of POD for further meta-analysis. RESULTS: A total of 6 studies with 4242 patients underwent this meta-analysis, which showed that the risk of POD was higher in patients with moderate and high GNRI than the ones with low GNRI (odds ratio [OR]=2.04, 95% confidence interval [CI] [1.58, 2.64], p<0.001), and moderate and high GNRI significantly increased the risk of POD in patients of 60 to 75 years or above [OR=1.98, 95%CI (1.49, 2.62), p<0.001; OR=2.79, 95%CI (1.38, 5.64), p=0.004, respectively]. CONCLUSION: Therefore, moderate and high GNRI increased the risk of POD in elderly patients.

Determination of the effectiveness of the three-minute nutrition screening (3-MinNS) tool in adult patients hospitalized in a cardiology clinic.

OBJECTIVES: To determine the efficacy of the 3-Minute Nutrition Screening (3-MinNS) tool in adults hospitalized for cardiovascular diseases. METHODS: In this descriptive cross-sectional study of 759 cardiovascular disease patients in Erciyes University Cardiology Clinic, anthropometric measurements and some routine biochemical parameters were recorded, and nutrition screening tools were used to determine malnutrition status. The power of 3-MinNS to detect malnutrition in cardiovascular diseases patients was calculated. RESULTS: There was a strong positive correlation between 3-MinNS and Nutrition Risk Screening-2002 (NRS-2002) (r=0.719, p<0.001). A moderate agreement was found between 3-MinNS and NRS-2002 (κ=0.496, p<0.001). The sensitivity, specificity, and AUC of 3-MinNS were 79.1%, 75.0%, and 0.851, respectively, and it was determined to be a moderately effective nutrition screening tool that can be used to identify malnutrition in patients with cardiovascular diseases. CONCLUSION: The 3-MinNS is a moderately effective nutrition screening tool that can be administered within the first 24 hours of hospitalization in patients with cardiovascular diseases.

The value of abPG-SGA in the nutritional risk screening of patients with malignant tumors.

Nutritional risk screening 2002 (NRS2002) is a commonly used tool for screening the risk of malnutrition in hospitalized patients, while patient-generated subjective global assessment (PG-SGA) is a nutritional assessment tool for malignant tumor patients. However, there are still gaps in the rapid nutritional risk screening methods for cancer patients. We aimed to evaluate the value of abridged scored patient-generated subjective global assessment (abPG-SGA) for nutritional risk screening and prognosis in cancer patients. The NRS 2002 and abPG-SGA scores of 100 malignant tumor patients hospitalized in our department in December 2020 were collected. Take NRS2002 ≥ 3 as the positive standard (risk of malnutrition). Data were analyzed using Kappa test, ROC curves, cut-off values and Kaplan-Meier. In the screening of 100 patients, 25.0% of patients were at risk of malnutrition (NRS2002), abPG-SGA yielded a sensitivity and specificity of 92.0% and 72.0%, respectively (area under curve [AUC] = 0.884, cut-off value ≥ 4.5); In the screening of patients with digestive system malignancies, 22.6% of patients were at risk of malnutrition (NRS2002), and the sensitivity and specificity of abPG-SGA were 91.67% and 87.80%, respectively (AUC = 0.945, cut-off value ≥ 5.5). The results of survival analysis showed that the overall survival (OS) of patients with abPG-SGA ≥ 5 and < 5, NRS2002 ≥ 3 and abPG-SGA < 5, NRS2002 < 3 and abPG-SGA ≥ 5 were significantly different (P < .0001), the OS of patients with NRS2002 ≥ 3 and abPG-SGA ≥ 5, NRS2002 < 3 and abPG-SGA < 5 were not significantly different (P > .05). Like NRS2002, abPG-SGA can also be used for malnutrition screening and prognosis judgment in cancer patients. It can quickly screen out cancer patients who may be at risk of malnutrition and facilitate the development of nutritional assessments.

Gastrointestinal bleeding in children with Henoch-Schönlein purpura combined with prognostic nutrition index may predict endoscopic duodenal ulcers during hospitalization: A single-center retrospective case-control study.

Duodenal ulcer (DU) is the most common gastroscopic manifestation of abdominal Henoch-Schönlein purpura (HSP), which may cause severe bleeding and often requires esophagogastroduodenoscopy (EGD) to confirm the diagnosis. However, the condition of children with HSP changes rapidly; not all children are able to undergo EGD on time, and some hospitals do not have a pediatric EGD unit. Therefore, assessing the risk factors for developing DU in HSP using simple and readily available indicators is essential. Children with HSP at Wuhan Children Hospital from June 2020 to June 2022 were included in the training set and completed EGD. The patients were divided into 2 groups: those with (DU group) and without DU (non-DU group). Data were collected from the 2 groups, and univariate and multivariate logistic regression analyses were used to compare the 2 groups. Children with HSP admitted between July 2022 and June 2023 were included in the validation set. Four indicators, prognostic nutrition index, albumin (ALB), gastrointestinal (GI) bleeding, and duration of onset before EGD, were found in the DU and non-DU groups. GI bleeding and prognostic nutritional index (PNI) ≤ 53.0 have strong predictability for patients with HSP and DU. GI bleeding and PNI ≤ 53.0 may provide new reference evidence for condition assessment and treatment.

Nutritional Assessment in Outpatients with Heart Failure.

INTRODUCTION: Heart failure (HF) is associated with significant alterations in body composition, including malnutrition due to insufficient intake, chronic inflammation and increased energy expenditure. Identifying the prevalence of malnutrition and the risk of sarcopenia in patients with HF is crucial to improve clinical outcomes. MATERIAL AND METHODS: This cross-sectional, single-center, observational study involved 121 outpatients diagnosed with HF. Nutritional status was assessed using the Mini Nutritional Assessment (MNA), the Malnutrition Universal Screening Tool (MUST), and the Subjective Global Rating (SGA). Sarcopenia was screened using the SARC-F (Strength, Assistance in walking, Rise from a chair, Climb stairs, Falls) questionnaire and diagnosed based on the European Working Group in Older People (EWGSOP2) criteria and functionality with the Short Performance Battery (SPPB) test. Malnutrition was diagnosed according to the Global Leadership Initiative on Malnutrition (GLIM) criteria. RESULTS: The study found that 10.7% had cardiac cachexia and 45.4% of deceased patients had been in this condition (p = 0.002). Moderate-to-high risk of malnutrition was identified in 37.1%, 23.9%, and 31.4% of patients according to the MNA, MUST, and SGA tests, respectively. According to the GLIM criteria, 56.2% of patients were malnourished. Additionally, 24.8% of patients had a high probability of sarcopenia, and 57.8% were not autonomous according to SPPB. Patients with less than 30% quadriceps muscle contraction were at a high risk of sarcopenia. CONCLUSIONS: There is a high prevalence of malnutrition among outpatients with HF, which is associated with worse prognosis, increased risk of sarcopenia, and greater frailty. These findings underscore the importance of early nutritional and functional assessments in this population to improve clinical outcomes.

IA-Body Composition CT at T12 in Idiopathic Pulmonary Fibrosis: Diagnosing Sarcopenia and Correlating with Other Morphofunctional Assessment Techniques.

BACKGROUND: Body composition (BC) techniques, including bioelectrical impedance analysis (BIVA), nutritional ultrasound® (NU), and computed tomography (CT), can detect nutritional diagnoses such as sarcopenia (Sc). Sc in idiopathic pulmonary fibrosis (IPF) is associated with greater severity and lower survival. Our aim was to explore the correlation of BIVA, NU and functional parameters with BC at T12 level CT scans in patients with IPF but also its relationship with degree of Sc, malnutrition and mortality. METHODS: This bicentric cross-sectional study included 60 IPF patients (85.2% male, 70.9 ± 7.8 years). Morphofunctional assessment (MFA) techniques included BIVA, NU, CT at T12 level (T12-CT), handgrip strength, and timed up and go. CT data were obtained using FocusedON®. Statistical analysis was conducted using JAMOVI version 2.3.22 to determine the cutoff points for Sc in T12-CT and to analyze correlations with other MFA techniques. RESULTS: the cutoff for muscle area in T12-CT was ≤77.44 cm2 (area under the curve (AUC) = 0.734, sensitivity = 41.7%, specificity = 100%). The skeletal muscle index (SMI_T12CT) cutoff was ≤24.5 cm2/m2 (AUC = 0.689, sensitivity = 66.7%, specificity = 66.7%). Low SMI_T12CT exhibited significantly reduced median survival and higher risk of mortality compared to those with normal muscle mass (SMI cut off ≥ 28.8 cm/m2). SMI_T12CT was highly correlated with body cell mass from BIVA (r = 0.681) and rectus femoris cross-sectional area (RF-CSA) from NU (r = 0.599). Cronbach's α for muscle parameters across different MFA techniques and CT was 0.735, confirming their validity for evaluating muscle composition. CONCLUSIONS: T12-CT scan is a reliable technique for measuring low muscle mass in patients with IPF, specifically when the L3 vertebrae are not captured. An SMI value of <28.8 is a good predictor of low lean mass and 12-month mortality in IPF patients.

Nutritional Assessment, Body Composition, and Low Energy Availability in Sport Climbing Athletes of Different Genders and Categories: A Cross-Sectional Study.

Climbing is an Olympic discipline in full development and multidisciplinary in nature, where the influences of body composition and nutritional status on performance have not yet been clarified despite the quest for a low weight in anti-gravity disciplines such as climbing. The present cross-sectional study aimed to conduct nutritional (3-day dietary diaries) and body composition (ISAK profile) assessments on sport climbing athletes by gender and climbing level during the months of February and March 2024. The t-test for independent samples and the Mann-Whitney U-test, as well as an ANOVA and the Kruskal-Wallis H-test, were used to compare the distributions of two or more groups, respectively, and Pearson's and Spearman's correlation coefficients were used to estimate the correlations between the different variables. The mean age of the 46 Spanish climbers (22 men and 24 women) was 30 years (SD: 9) with 7.66 years of experience (SD: 6.63). The mean somatotype of the athletes was classified as balanced mesomorph. Negative correlations were observed between fat mass variables and climbing level (p < 0.010), and positive correlations were observed with forearm circumference (p < 0.050). The mean energy availability (EA) was 33.01 kcal-kg FFM-1d-1 (SD: 9.02), with 55.6% of athletes having a suboptimal EA status and 35.6% having low energy availability (LEA). The carbohydrate and protein intakes were below the recommendations in 57.8% and 31.1% of athletes, respectively. There were deficient intakes of all micronutrients except phosphorus in males. These findings suggest that climbing athletes are at a high risk of developing low energy availability states and concomitant problems. Optimal nutritional monitoring may be advisable in this type of athlete to try to reduce the risk of LEA.

Evaluation of Muscle Mass and Malnutrition in Patients with Colorectal Cancer Using the Global Leadership Initiative on Malnutrition Criteria and Comparing Bioelectrical Impedance Analysis and Computed Tomography Measurements.

OBJECTIVES: The aim of this investigation was to evaluate the discrepancies between bioelectrical impedance analysis (BIA) and computed tomography (CT) in assessing skeletal muscle mass and identifying low muscle mass in patients with colorectal cancer. METHODS: This study recruited 137 patients with colorectal cancer from February 2028 to December 2023. CT scans were analyzed at the Lumbar 3 vertebral level to determine the area of skeletal muscle, which was then utilized to estimate whole-body skeletal muscle mass. [BIA] was also employed to measure skeletal muscle. Both skeletal muscle mass values [kg] were divided by height2 [m2] to calculate the skeletal muscle index [SMI, kg/m2], denoted as SMI-CT and SMI-BIA, respectively. RESULTS: The median age was 69.8 + 9.5 years, with the sex ratio being 88/49 [male/female]. Whereas more than one-third of the patients were classified as malnourished based on the Global Leadership Initiative on Malnutrition GLIM-CT criteria using L3-SMI [n = 36.5%], fewer patients were classified as malnourished based on GLIM-BIA using SMI-BIA [n = 19.0%]. According to the CT analysis [low SMI-L3], 52 [38.0%] patients were diagnosed as having poor muscle mass, whereas only 18 [13.1%] patients were identified as having low muscle mass using BIA [low SMIBIA]. The measured SMI showed a positive association with SMI-CT in all patients [r = 0.63, p < 0.001]. Using Bland-Altman evaluation, a significant mean bias of 0.45 + 1.41 kg/m2 [95% CI 0.21-0.70; p < 0.001] between SMI-BIA and SMI-CT was reported. Receiver operating characteristic (ROC) curves were generated to detect poor muscle mass using SMI-BIA with CT as the gold standard. The area under the curve (AUC) for SMI-BIA in identifying poor muscle mass was 0.714 (95% CI: 0.624-0.824), with a good cut-off value of 8.1 kg/m2, yielding a sensitivity of 68.3% and a specificity of 66.9%. CONCLUSIONS: BIA generally overestimates skeletal muscle mass in colorectal cancer patients when contrasted to CT. As a result, BIA may underestimate the prevalence of poor muscle mass and malnutrition according to the GLIM criteria in this patient population.

The controlling nutritional status score as a new prognostic predictor in patients with cervical cancer receiving radiotherapy: a propensity score matching analysis.

BACKGROUND: As assessment tools of nutritional status, the controlling nutritional status (CONUT) and modified controlling nutritional status (mCONUT) score are associated with survival in various cancers. We aimed to investigate the association between the CONUT/mCONUT score's prognostic value and survival time in patients with FIGO stage IIB-IIIB cervical cancer treated with radiotherapy. METHODS: In this retrospective study, 165 patients between September 2013 and September 2015 were analyzed, and the optimal CONUT/mCONUT score cut-off values were determined using receiver operating characteristic curves. Propensity score matching (PSM) was used to minimize selection bias. The Kaplan-Meier method and a Cox proportional hazard model were used to assess the CONUT/mCONUT score's predictive value linked to survival time. Two nomograms were created to predict the overall survival (OS) and progression-free survival (PFS). RESULTS: The cut-off values for CONUT and mCONUT score were both 2. Five-year OS and PFS rates were higher in a low CONUT score group than in a high CONUT score group (OS: 81.1% vs. 53.8%, respectively, P < 0.001; PFS: 76.4% vs. 48.2%, respectively; P < 0.001). A high CONUT score was associated with decreased OS (hazard ratio (HR) 2.93, 95% CI 1.54-5.56; P = 0.001) and PFS (HR 2.77, 95% CI 1.52-5.04; P < 0.001). High CONUT scores influenced OS in the PSM cohort. A high mCONUT score was not associated with decreased OS and PFS in Cox regression analysis. CONCLUSION: The CONUT score is a promising indicator for predicting survival in patients with cervical cancer receiving radiotherapy.

Prognostic impact of CONUT score in older patients with chronic heart failure.

BACKGROUND: Malnutrition is common in older patients with chronic heart failure (HF) and often accompanies a deterioration of their condition. The Controlling Nutritional Status (CONUT) score is used as an objective indicator to evaluate nutritional status, but relevant research in this area is limited. This study aimed to report the prevalence, clinical correlates, and outcomes of malnutrition in elder patients hospitalized with chronic HF. METHODS: A retrospective analysis was conducted on 165 eligible patients admitted to the Department of Cardiology at Huadong Hospital from January 2021 to December 2022. Patients were categorized based on their CONUT score into three groups: normal nutrition status, mild risk of malnutrition, and moderate to severe risk of malnutrition. The study examined the nutritional status of this population and its relationship with clinical outcomes. RESULTS: Findings revealed that malnutrition affected 82% of the older patients, with 28% experiencing moderate to severe risk. Poor nutritional scores were significantly associated with prolonged hospital stay, increased in-hospital mortality and all-cause mortality during readmissions within one year (P < 0.05). The multivariable analysis indicated that moderate to severe malnutrition (CONUT score of 5-12) was significantly associated with a heightened risk of prolonged hospitalization (aOR: 9.17, 95%CI: 2.02-41.7). CONCLUSIONS: Malnutrition, as determined by the CONUT score, is a common issue among HF patients. Utilizing the CONUT score upon admission can effectively predict the potential for prolonged hospital stays.

Exploring the role of calf circumference as a predisposing factor for intra-hospital delirium: investigating potential gender differences: revealing potential gender variances.

BACKGROUND: Malnutrition and sarcopenia significantly increase the risk of intra-hospital delirium, particularly among older adults. Given the potential correlation between calf circumference (CC) and these conditions, CC emerges as a promising predisposing factor for delirium. This study aims to investigate the independent association between delirium and anthropometric parameters, focusing on evaluating CC's predictive capacity for intra-hospital delirium risk. Additionally, it aims to compare CC's predictive performance with the widely used Mini Nutritional Assessment (MNA), while also considering potential gender disparities. METHODS: This is a retrospective study which enrolled patients aged ≥ 65 years from September 2021 to March 2022 at the Padova Hospital (Italy). Physical characteristics, intra-hospital delirium incidence, and body composition were assessed. Sarcopenia was diagnosed using the 2019 European Consensus criteria. RESULTS: Among 207 subjects, delirium affected 19% of patients. CC showed a significant association with intra-hospital delirium among the analyzed anthropometric parameters. ROC curves indicated that CC's predictive capacity for delirium onset was comparable to MNA (p = 0.98), particularly in women. In a multivariable logistic regression model, female gender and higher cognitive and CC scores emerged as protective factors against delirium onset, with each unit increase in CC associated with a 24% reduction in the odds of delirium. Conversely, sarcopenia did not significantly influence delirium onset. CONCLUSIONS: CC shows promise as a predisposing factor for intra-hospital delirium, similar to MNA, albeit with significant gender differences. CC could serve as a valuable tool for assessing delirium risk among female patients. Further validation of these findings is necessary through larger-scale studies.

The relationship between Geriatric Nutritional Risk Index (GNRI) and in-hospital mortality in critically ill patients with Acute Kidney Injury (AKI).

BACKGROUND: The role of the geriatric nutritional risk index (GNRI) as a prognostic factor in intensive care unit (ICU) patients with acute kidney injury (AKI) remains uncertain. OBJECTIVES: The aim of this study was to investigate the impact of the GNRI on mortality outcomes in critically ill patients with AKI. METHODS: For this retrospective study, we included 12,058 patients who were diagnosed with AKI based on ICD-9 codes from the eICU Collaborative Research Database. Based on the values of GNRI, nutrition-related risks were categorized into four groups: major risk (GNRI < 82), moderate risk (82 ≤ GNRI < 92), low risk (92 ≤ GNRI < 98), and no risk (GNRI ≥ 98). Multivariate analysis was used to evaluate the relationship between GNRI and outcomes. RESULTS: Patients with higher nutrition-related risk tended to be older, female, had lower blood pressure, lower body mass index, and more comorbidities. Multivariate analysis showed GNRI scores were associated with in-hospital mortality. (Major risk vs. No risk: OR, 95% CI: 1.90, 1.54-2.33, P < 0.001, P for trend < 0.001). Moreover, increased nutrition-related risk was negatively associated with the length of hospital stay (Coefficient: -0.033; P < 0.001) and the length of ICU stay (Coefficient: -0.108; P < 0.001). The association between GNRI scores and the risks of in-hospital mortality was consistent in all subgroups. CONCLUSIONS: GNRI serves as a significant nutrition assessment tool that is pivotal to predicting the prognosis of critically ill patients with AKI.