Preoperative Malnutrition Increases Risk of In-Hospital Mortality, Major Infection, and Longer Intensive Care Unit Stay After Ventricular Septal Defect Closure.

BACKGROUND: High energy requirements and poor feeding can lead to growth failure in patients with ventricular septal defect (VSD), but effects of preoperative malnutrition on surgical outcomes are poorly understood, especially in low-resource settings. METHODS AND RESULTS: We analyzed a cohort of children <5 years of age undergoing VSD closure at 60 global centers participating in the International Quality Improvement Collaborative for Congenital Heart Disease, 2015 to 2020. We calculated adjusted odds ratios (ORs) for in-hospital death and major infection and adjusted coefficients for duration of intensive care unit stay for 4 measures of malnutrition: severe wasting (weight-for-height Z score, <-3), moderate wasting (-3

Nutrient deficiency patterns and all-cause and cardiovascular mortality in older adults with hypertension: a latent class analysis.

BACKGROUND: Previous researches examining the impact of dietary nutrition on mortality risk have mainly focused on individual nutrients, however the interaction of these nutrients has not been considered. The purpose of this study was to identify of nutrient deficiencies patterns and analyze their potential impact on mortality risk in older adults with hypertension. METHODS: We included participants from the National Health and Nutrition Examination Survey (NHANES) study. The latent class analysis (LCA) was applied to uncover specific malnutrition profiles within the sample. Risk of the end points across the phenogroups was compared using Kaplan-Meier analysis and Cox proportional hazard regression model. Multinomial logistic regression was used to determine the influencing factors of specific malnutrition profiles. RESULTS: A total of 6924 participants aged 60 years or older with hypertension from NHANES 2003-2014 was followed until December 31, 2019 with a median follow-up of 8.7 years. Various nutrients included vitamin A, vitamin B1, vitamin B12, vitamin C, vitamin D, vitamin E, vitamin K, fiber, folate, calcium, magnesium, zinc, copper, iron, and selenium, and LCA revealed 4 classes of malnutrition. Regarding all-cause mortality, "Nutrient Deprived" group showed the strongest hazard ratio (1.42 from 1.19 to 1.70) compared with "Adequate Nutrient" group, followed by "Inadequate Nutrient" group (1.29 from 1.10 to 1.50), and "Low Fiber, Magnesium, and Vit E" group (1.17 from 1.02 to 1.35). For cardiovascular mortality, "Nutrient Deprived" group showed the strongest hazard ratio (1.61 from 1.19 to 2.16) compared with "Adequate Nutrient" group, followed by "Low Fiber, Magnesium, and Vit E" group (1.51 from 1.04 to 2.20), and "Inadequate Nutrient" group (1.37 from 1.03 to 1.83). CONCLUSIONS: The study revealed a significant association between nutrients deficiency patterns and the risk of all-cause and cardiovascular mortality in older adults with hypertension. The findings suggested that nutrients deficiency pattern may be an important risk factor for mortality in older adults with hypertension.

Association Between Geriatric Nutrition Risk Index and 90-Day Mortality in Older Adults with Chronic Obstructive Pulmonary Disease: a Retrospective Cohort Study.

Background: Malnutrition adversely affects prognosis in various medical conditions, but its implications in older adults with Chronic Obstructive Pulmonary Disease (COPD) in the ICU are underexplored. The geriatric nutritional risk index (GNRI) is a novel tool for assessing malnutrition risk. This study investigates the association between GNRI and 90-day mortality in this population. Methods: We selected older adults with COPD admitted to the ICU from Medical Information Mart for Intensive Care (MIMIC)-IV 2.2 database. A total of 666 patients were categorized into four groups based on their GNRI score: normal nutrition (>98), mild malnutrition (92-98), moderate malnutrition (82-91), and severe malnutrition (≤81) groups. We employed a restricted cubic spline (RCS) analysis to assess the presence of a curved relationship between them and to investigate any potential threshold saturation effect. Results: In multivariate Cox regression analyses, compared with individuals had normal nutrition (GNRI in Q4 >98), the adjusted HR values for GNRI in Q3 (92-98), Q2 (82-91), and Q1 (≤81) were 1.81 (95% CI: 1.27-2.58, p=0.001), 1.23 (95% CI: 0.84-1.79, p=0.296), 2.27 (95% CI: 1.57-3.29, p<0.001), respectively. The relationship between GNRI and 90-day mortality demonstrates an L-shaped curve (p=0.016), with an approximate inflection point at 101.5. Conclusion: These findings imply that GNRI is a useful prognostic tool in older adults with COPD in the ICU. An L-shaped relationship was observed between GNRI and 90-day mortality in these patients.

Malnutrition as a potential predictor of mortality in chronic kidney disease patients on dialysis: A systematic review and meta-analysis.

BACKGROUND & AIMS: Malnutrition, a significant problem in patients with chronic kidney disease (CKD), is linked to lower health-related quality of life, longer and more frequent hospital admissions, worse functional capacity, and higher levels of morbidity. However, the extent of its impact on mortality is poorly elucidated. This systematic review and meta-analysis aimed to investigate the impact of malnutrition on mortality among CKD patients on dialysis. METHODS: This meta-analysis was designed and performed in accordance with the PRISMA guidelines (CRD42023394584). A systematic electronic literature search was conducted in PubMed, ScienceDirect, and Embase to identify relevant cohort studies. The studies that reported nutritional status and its impact on mortality in patients were considered for analysis. The generic inverse variance method was used to pool the hazard ratio effect estimates by employing a random effects model. The Newcastle-Ottawa scale was used for the quality assessment. The statistical analysis was performed by utilizing RevMan and CMA 2.0. RESULTS: A total of 29 studies that comprised 11,063 patients on dialysis whose nutritional status was evaluated were eligible for quantitative analysis. Based on a comparison between the "malnutrition" category and the reference "normal nutrition status" category, the results showed that the overall pooled hazard risk (HR) for mortality was (HR 1.49, 95% CI: 1.36-1.64, p < 0.0001). According to the subgroup analysis, the hemodialysis subgroup had greater mortality hazards (HR 1.53; 95% CI 1.38-1.70, p < 0.0001), compared to the peritoneal dialysis subgroup (HR 1.26; 95% CI 1.15-1.37, p < 0.00001). Additionally, the overall incidence of mortality was explored but the authors were unable to combine the results due to limitations with the data. CONCLUSION: The findings conclude that malnutrition is a strong predictor of mortality among patients on dialysis, with the hemodialysis subgroup having a higher mortality hazard compared to the peritoneal dialysis subgroup. The results of this study will advocate for early nutritional evaluation and timely dietary interventions to halt the progression of CKD and death.

Performance of anthropometry-based and bio-electrical impedance-based muscle-mass indicators in the Global Leadership Initiative on Malnutrition criteria for predicting prognosis in patients with cancer.

BACKGROUND: Reduced muscle mass is a criterion for diagnosing malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria; however, the choice of muscle-mass indicators within the GLIM criteria remains contentious. This study aimed to establish muscle-measurement-based GLIM criteria using data from bio-electrical impedance analysis (BIA) and anthropometric evaluations and evaluate their ability to predict overall survival (OS), short-term outcomes, and healthcare burden in patients with cancer. METHODS: This was a multicenter, prospective study that commenced in 2013 and enrolled participants from various clinical centers across China. We constructed GLIM criteria based on various muscle measurements, including fat-free mass index (FFMI), skeletal muscle index (SMI), calf circumference (CC), midarm circumference (MAC), midarm muscle circumference (MAMC), and midarm muscle area (MAMA). Survival was estimated using the Kaplan-Meier method and survival curves were compared using the log-rank test. Cox proportional hazards regression was used to assess the independent association between the GLIM criteria and OS. The discriminatory performance of different muscle-measurement-based GLIM criteria for mortality was evaluated using Harrell's concordance index (C-index). Logistic regression was used to evaluate the association of the GLIM criteria with short-term outcomes and healthcare burden. RESULTS: A total of 4769 patients were included in the analysis, of whom 1659 (34.8%) died during the study period. The Kaplan-Meier curves demonstrated that all muscle-measurement-based GLIM criteria significantly predicted survival in patients with cancer (all p < 0.001). The survival rate of malnourished patients was approximately 10% lower than that of non-malnourished patients. Cox proportional hazards regression showed that all the muscle-measurement-based GLIM could independently predict the OS of patients (all p < 0.001). The prognostic discrimination was as follows: MAMC (Chi-square: 79.61) > MAMA (Chi-square: 79.10) > MAC (Chi-square: 64.09) > FFMI (Chi-square: 62.33) > CC (Chi-square: 58.62) > ASMI (Chi-square: 57.29). In comparison to the FFMI-based GLIM criteria, the ASMI-based criteria (-0.002, 95% CI: -0.006 to 0.002, p = 0.334) and CC-based criteria (-0.003, 95% CI: -0.007 to 0.002, p = 0.227) did not exhibit a significant advantage. However, the MAC-based criteria (0.001, 95% CI: -0.003 to 0.004, p = 0.776), MAMA-based criteria (0.004, 95% CI: 0.000-0.007, p = 0.035), and MAMC-based criteria (0.005, 95% CI: 0.000-0.007, p = 0.030) outperformed the FFMI-based GLIM criteria. Logistic regression showed that muscle measurement-based GLIM criteria predicted short-term outcomes and length of hospital stay in patients with cancer. CONCLUSION: All muscle measurement-based GLIM criteria can effectively predict OS, short-term outcomes, and healthcare burden in patients with cancer. Anthropometric measurement-based GLIM criteria have potential for clinical application as an alternative to BIA-based measurement.

Combined effect of inflammation and malnutrition for long-term prognosis in patients with acute coronary syndrome undergoing percutaneous coronary intervention: a cohort study.

BACKGROUND: Inflammation is a key driver of atherosclerotic diseases and is often accompanied by disease-related malnutrition. However, the long-term burden of dysregulated inflammation with superimposed undernutrition in patients with acute coronary syndrome (ACS) remains unclear. This study sought to investigate the double burden and interplay of inflammation and malnutrition in patients with ACS undergoing percutaneous Coronary Intervention (PCI). METHODS: We retrospectively included 1,743 ACS patients undergoing PCI from June 2016 through November 2017 and grouped them according to their baseline nutritional and inflammatory status. Malnutrition was determined using the nutritional risk index (NRI) with a score lower than 100 and a high-inflamed condition defined as hs-CRP over 2 mg/L. The primary outcome was major adverse cardiovascular events (MACEs), compositing of cardiac mortality, non-fatal myocardial infarction, non-fatal stroke, and unplanned revascularization. Long-term outcomes were examined using the Kaplan-Meier method and compared with the log-rank test. Multivariable Cox proportional hazards regression analysis was applied to adjust for confounding. The reclassification index (NRI)/integrated discrimination index (IDI) statistics estimated the incremental prognostic impact of NRI and hs-CRP in addition to the Global Registry of Acute Coronary Events (GRACE) risk score. RESULTS: During a median follow-up of 30 months (ranges 30-36 months), 351 (20.1%) MACEs occurred. Compared with the nourished and uninflamed group, the malnourished and high-inflamed group displayed a significantly increased risk of MACEs with an adjusted hazard ratio of 2.446 (95% CI: 1.464-4.089; P < 0.001). The prognostic implications of NRI were influenced by patients' baseline inflammatory status, as it was only associated with MACEs among those high-inflamed (P for interaction = 0.005). Incorporating NRI and hs-CRP into the GRACE risk score significantly improved its predictive ability for MACEs (NRI: 0.210, P < 0.001; integrated discrimination index; IDI: 0.010, P < 0.001) and cardiac death (NRI: 0.666, P < 0.001; IDI: 0.023, P = 0.002). CONCLUSIONS: Among patients with ACS undergoing PCI, the double burden of inflammation and malnutrition signifies poorer outcomes. Their prognostic implications may be amplified by each other and jointly improve the GRACE risk score's risk prediction performance.

Comparison of Mini Nutritional Assessment Tool and Geriatric Nutrition Risk Index in Predicting 12-Y Mortality Among Community-Dwelling Older Persons.

BACKGROUND: Malnutrition is a common and dangerous condition in older adults, which has been associated with increased risk of mortality. OBJECTIVES: This study aimed to evaluate and compare the abilities of Mini Nutritional Assessment short form (MNA-SF), MNA full form (MNA-FF), and geriatric nutritional risk index (GNRI) to predict all-cause and expanded cardiovascular disease (CVD)-related mortality in community-dwelling older adults. METHODS: This research was an observational cohort study conducted in a community setting, with a 12-y follow-up involving 1001 community-living older adults aged 65 y or older who were enrolled in 2009 and followed up until 2021. Nutritional status assessment was carried out in 2009 using MNA-SF, MNA-FF, and GNRI. Multivariate Cox proportional hazards regression was applied to determine adjusted hazard ratios of mortality with 95% CIs. RESULTS: A total of 368 deaths (36.76%) and 122 expanded CVD-related deaths (12.19%) were observed after a median follow-up of 12 y. Compared with normal nutritional status, poor nutritional status assessed by the MNA-SF, MNA-FF, and GNRI was found to be associated with an increased all-cause mortality in older persons. MNA-SF and MNA-FF, but not GNRI, were associated with expanded CVD-related mortality. The MNA-FF showed better discriminatory accuracy for all-cause (C-statistics: 0.77; 95% CI: 0.63, 0.79) and expanded CVD-related mortality (C-statistics: 0.79; 95% CI: 0.70, 0.83) than MNA-SF (C-statistics: 0.76; 95% CI: 0.73-0.79; and C-statistics: 0.76; 95% CI: 0.72-0.81, respectively) and GNRI (C-statistics: 0.75; 95% CI: 0.73-0.79; and C-statistics: 0.76; 95% CI: 0.72-0.80, respectively). CONCLUSIONS: Our findings indicate that MNA-SF, MNA-FF, and GNRI were all independent predictors of all-cause mortality. In particular, the MNA-FF may be the best nutritional assessment tool for predicting all-cause and CVD-related mortality among older persons residing in community, compared with MNA-SF and GNRI.

Prognostic Nutritional Index and Instant Nutritional Assessement Are Associated with Clinical Outcomes in a Geriatric Cohort of Acutely Inpatients.

BACKGROUND: Among elderly inpatients, malnutrition is one of the most important predictive factors affecting length of stay (LOS), mortality, and risk of re-hospitalization. METHODS: We conducted an observational, retrospective study on a cohort of 2206 acutely inpatients. Serum albumin and lymphocytes were evaluated. Instant Nutritional Assessment (INA) and the Prognostic Nutritional Index (PNI) were calculated to predict in-hospital mortality, LOS, and risk of rehospitalization. RESULTS: An inverse relationship between LOS, serum albumin, and PNI were found. Deceased patients had lower albumin levels, lower PNI values, and third- and fourth-degree INA scores. An accurate predictor of mortality was PNI (AUC = 0.785) after ROC curve analysis; both lower PNI values (HR = 3.56) and third- and fourth-degree INA scores (HR = 3.12) could be independent risk factors for mortality during hospitalization after Cox regression analysis. Moreover, among 309 subjects with a lower PNI value or third- and fourth-class INA, hospitalization was re-hospitalization. CONCLUSIONS: PNI and INA are two simple and quick-to-calculate tools that can help in classifying the condition of hospitalized elderly patients also based on their nutritional status, or in assessing their mortality risk. A poor nutritional status at the time of discharge may represent an important risk factor for rehospitalization in the following thirty days. This study confirms the importance of evaluating nutritional status at the time of hospitalization, especially in older patients. This study also confirms the importance for adequate training of doctors and nurses regarding the importance of maintaining a good nutritional status as an integral part of the therapeutic process of hospitalization in acute departments.

The prognostic value of prognostic nutritional index and renal function indicators for mortality prediction in severe COVID-19 elderly patients: A retrospective study.

Identifying prognostic factors in elderly patients with severe coronavirus disease 2019 (COVID-19) is crucial for clinical management. Recent evidence suggests malnutrition and renal dysfunction are associated with poor outcome. This study aimed to develop a prognostic model incorporating prognostic nutritional index (PNI), estimated glomerular filtration rate (eGFR), and other parameters to predict mortality risk. This retrospective analysis included 155 elderly patients with severe COVID-19. Clinical data and outcomes were collected. Logistic regression analyzed independent mortality predictors. A joint predictor "L" incorporating PNI, eGFR, D-dimer, and lactate dehydrogenase (LDH) was developed and internally validated using bootstrapping. Decreased PNI (OR = 1.103, 95% CI: 0.78-1.169), decreased eGFR (OR = 0.964, 95% CI: 0.937-0.992), elevated D-dimer (OR = 1.001, 95% CI: 1.000-1.004), and LDH (OR = 1.005, 95% CI: 1.001-1.008) were independent mortality risk factors (all P < .05). The joint predictor "L" showed good discrimination (area under the curve [AUC] = 0.863) and calibration. The bootstrapped area under the curve was 0.858, confirming model stability. A combination of PNI, eGFR, D-dimer, and LDH provides useful prognostic information to identify elderly patients with severe COVID-19 at highest mortality risk for early intervention. Further external validation is warranted.

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

INTRODUCTION: Increasing evidence indicates an association between nutritional status and Coronavirus disease 2019 (COVID-19) disease severity. The aim of the study was to describe the risk of malnutrition, body mass index (BMI) and vitamin D status of hospitalised COVID-19 patients and assess whether they are associated with duration of hospital stay, intensive care unit (ICU) admission, mechanical ventilation, and mortality. METHODS: The study is a descriptive retrospective study of 273 patients with COVID-19 admitted to Hospital from February 2020 to March 2021. Patients were screened for risk of malnutrition using a validated screening tool. BMI was calculated from height and weight. Insufficient Vitamin D status was defined as 25(OH)vitD <50 nmol/L. Logistic regression analysis was used to assess the association between indicators of nutritional status of patients with COVID-19, and outcomes such as duration of stay >7 days, ICU admission, mechanical ventilation, and mortality. Interaction between risk of malnutrition and BMI of ≥30 kg/m2 was assessed using the likelihood ratio test with hospital stay, ICU admission, mechanical ventilation, and mortality as outcomes. RESULTS: Screening for risk of malnutrition identified 201 (74%) patients at a medium to high risk of malnutrition. Patients defined as being at a medium or high risk of malnutrition were more likely to be hospitalised for >7 days compared to those defined as low risk (OR: 10.72; 95% CI: 3.9-29.46; p < 0.001 and OR: 61.57; 95% CI: 19.48-194.62; p < 0.001, respectively). All patients who were admitted to ICU (n = 41) and required mechanical ventilation (n = 27) were defined as having medium or high risk of malnutrition. High risk of malnutrition was also associated with increased odds of mortality (OR: 8.87; 955 CI 1.08-72,96; p = 0.042). BMI of ≥30 kg/m2 (43%) and 25(OH)vitD <50 nmol/L (20%) were not associated with duration of stay >7 days or mortality, although BMI ≥30 kg/m2 was associated with increased risk of ICU admission (OR: 7.12; 95% CI: 1.59-31.94; p = 0.010) and mechanical ventilation (OR: 8.86; 95% CI: 1.12-69.87; p = 0.038). Interactions between risk of malnutrition and BMI ≥30 kg/m2 were not significant to explain the outcomes of hospital stay >7 days, ICU admission, mechanical ventilation, or mortality. CONCLUSION: High risk of malnutrition among hospitalised COVID-19 patients was associated with longer duration of hospital stay, ICU admission, mechanical ventilation and mortality, and BMI ≥30 kg/m2 was associated with ICU admission and mechanical ventilation. Insufficient Vitamin D status was not associated with duration of hospital stay, ICU admission, mechanical ventilation, or mortality.

The incidence and mortality of refeeding syndrome in older hospitalized patients, based on three different diagnostic criteria: A longitudinal study.

BACKGROUND & AIMS: Refeeding syndrome (RFS) lacks both a global definition and diagnostic criteria. Different diagnostic criteria are used; serum phosphate (traditional criterion (TC)), the Friedli consensus recommendations, and the ASPEN. We investigated the incidence of RFS in older hospitalized patients and the mortality rates in patients with or without RFS using these three different diagnostic criteria. METHODS: This is a longitudinal study with data originating from a randomized controlled trial conducted between March 2017 and August 2019. A total of 85 malnourished hospitalized patients at risk of RFS according to the National Institute for Health and Clinical Excellence tool for detecting patients at risk of RFS, were included. All patients were provided with enteral tube feeding, and electrolytes were measured daily during the intervention period. Friedli and ASPEN included phosphate, magnesium, and potassium in their definitions, but used different cut-off values. Incidences were recorded, and Kaplan-Meier estimates were used to determine whether mortality was more prevalent in patients with RFS. Regression analysis was used to test for confounders regarding the association between RFS and death, and Kappa was used to test for agreement between the three diagnostic criteria. RESULTS: The mean (SD) age of the patients was 79.8 (7.4) years, and the mean (SD) BMI was 18.5 (3.4) kg/m2. The mean (SD) kcal/kg/day was 19 (11) on day one and 26 (15) on day seven. The incidences of RFS differed with the criteria used; 12.9% (TC), 31.8% (Friedli), and 65.9% (ASPEN). Mortality was high, with 36.5% (n = 31) and 56.5% (n = 48) of patients dead at three-month and one-year follow-up, respectively. In the TC, 8/11 (72.7%) with RFS vs. 40/74 (54.1%) without RFS died within one-year, in Friedli 15/27 (55.5%) with RFS vs. 33/58 (56.9%) without RFS died, and in ASPEN 32/56 (65.9%) with RFS, vs. 16/29 (55.2%) without RFS died within one-year. There was no statistically significant difference in mortality between patients with or without RFS regardless of which criteria were used. Age was the only variable associated with death at one-year. The Kappa analysis showed very low agreement between the categories. CONCLUSION: Our results show that using different diagnostic criteria significantly impacts incidence rates. However, regardless of criteria used, the mortality was not significantly higher in the group of patients with RFS compared to the patients without RFS. Furthermore, none of the criteria showed a significant association with death at one-year. This supports the need for a global unified diagnostic criterion for RFS. This study was registered in ClinicalTrials.gov (identifier NCT03141489).

Prognostic value of geriatric nutritional risk index in patients with stable coronary artery disease undergoing percutaneous coronary intervention.

BACKGROUND: Malnutrition increases the risk of poor prognosis in patients with cardiovascular disease, and our current research was designed to assess the predictive performance of the Geriatric Nutrition Risk Index (GNRI) for the occurrence of poor prognosis after percutaneous coronary intervention (PCI) in patients with stable coronary artery disease (SCAD) and to explore possible thresholds for nutritional intervention. METHODS: This study retrospectively enrolled newly diagnosed SCAD patients treated with elective PCI from 2014 to 2017 at Shinonoi General Hospital, with all-cause death as the main follow-up endpoint. Cox regression analysis and restricted cubic spline (RCS) regression analysis were used to explore the association of GNRI with all-cause death risk and its shape. Receiver operating characteristic curve (ROC) analysis and piecewise linear regression analysis were used to evaluate the predictive performance of GNRI level at admission on all-cause death in SCAD patients after PCI and to explore possible nutritional intervention threshold points. RESULTS: The incidence of all-cause death was 40.47/1000 person-years after a mean follow-up of 2.18 years for 204 subjects. Kaplan-Meier curves revealed that subjects at risk of malnutrition had a higher all-cause death risk. In multivariate Cox regression analysis, each unit increase in GNRI reduced the all-cause death risk by 14% (HR 0.86, 95% CI 0.77, 0.95), and subjects in the GNRI > 98 group had a significantly lower risk of death compared to those in the GNRI < 98 group (HR 0.04, 95% CI 0.00, 0.89). ROC analysis showed that the baseline GNRI had a very high predictive performance for all-cause death (AUC = 0.8844), and the predictive threshold was 98.62; additionally, in the RCS regression analysis and piecewise linear regression analysis we found that the threshold point for the GNRI-related all-cause death risk was 98.28 and the risk will be significantly reduced when the subjects' baseline GNRI was greater than 98.28. CONCLUSIONS: GNRI level at admission was an independent predictor of all-cause death in SCAD patients after PCI, and GNRI equal to 98.28 may be a useful threshold for nutritional intervention in SCAD patients treated with PCI.

Association of the Controlling Nutritional Status (CONUT) score with all-cause and cause-specific mortality in patients with diabetic kidney disease: evidence from the NHANES 2009-2018.

OBJECTIVE: To investigate the association between the Controlling Nutritional Status (CONUT) score and all-cause and cause-specific mortality in patients with diabetic kidney disease (DKD). DESIGN: A retrospective cohort study. SETTING AND PARTICIPANTS: Data on patients with DKD from the National Health and Nutrition Examination Survey 2009-2018. PRIMARY AND SECONDARY OUTCOME MEASURES: All-cause mortality, cardiovascular disease (CVD)-related mortality, diabetes-related mortality and nephropathy-related mortality. RESULTS: A total of 1714 patients were included, with 1119 (65.29%) in normal nutrition group (a score of 0-1), 553 (32.26%) in mild malnutrition group (a score of 2-4) and 42 (2.45%) in moderate and severe malnutrition group (a score of 5-12), according to the CONUT score. After controlling for age, race, marital status, smoking, hypertension, CVD, diabetic retinopathy, poverty income ratio, antidiabetics, diuretics, urinary albumin to creatinine ratio, uric acid, energy, protein, total fat, sodium and estimated glomerular filtration rate, a higher CONUT score was associated with a significantly greater risk of all-cause death (HR 1.30, 95% CI 1.15 to 1.46, p<0.001). In contrast to patients with a CONUT score of 0-1, those who scored 5-12 had significantly increased risks of all-cause death (HR 2.80, 95% CI 1.42 to 5.51, p=0.003), diabetes-related death (HR 1.78, 95% CI 1.02 to 3.11, p=0.041) and nephropathy-related death (HR 1.84, 95% CI 1.04 to 3.24, p=0.036). CONCLUSION: Moderate and severe malnutrition was associated with greater risks of all-cause death, diabetes-related death and nephropathy-related death than normal nutritional status in DKD. Close monitoring of immuno-nutritional status in patients with DKD may help prognosis management and improvement.

Prognosis of patients with coexisting obesity and malnutrition after ischemic stroke: A cohort study.

BACKGROUND: The double burden of malnutrition, defined as the coexistence of obesity and malnutrition, is an increasing global health concern and is unclear in patients after ischemic stroke. The current study explored the combined impacts of obesity and malnutrition on patients with ischemic stroke. METHODS: We conducted a single-center prospective cohort study with patients with ischemic stroke enrolled in Minhang Hospital in China between January 2018 and December 2022. Patients were stratified into four categories based on their obesity (defined by body mass index) and nutritional status (classified according to the Controlling Nutritional Status score): (1) nourished nonobese, (2) malnourished nonobese, (3) nourished obese, and (4) malnourished obese. The primary end points were poor outcomes and all-cause mortality at 3 months. RESULTS: A total of 3160 participants with ischemic stroke were included in our study, of which 64.7% were male and the mean age was 69 years. Over 50% of patients were malnourished. At 3-month follow-up, the malnourished nonobese had the worst outcomes (34.4%), followed by the malnourished obese (33.2%), nourished nonobese (25.1%), and nourished obese (21.8%; P < 0.001). In multivariable analyses, with nourished nonobese group as the reference, the malnourished nonobese group displayed poorer outcomes (odds ratio [OR], 1.395 [95% CI, 1.169-1.664], P < 0.001) and higher all-cause mortality (OR, 1.541 [95% CI, 1.054-2.253], P = 0.026), but only a nonsignificant increase in poor prognosis rate (33.2% vs. 25.1%, P = 0.102) and mortality (4.2% vs. 3.6%, P = 0.902) were observed in the malnourished obese group. CONCLUSION: A high prevalence of malnutrition is observed in the large population suffering from ischemic attack, even in the obese. Malnourished patients have the worst prognosis particularly in those with severe nutritional status regardless of obesity, while the best functional outcomes and the lowest mortality are demonstrated in nourished obese participants.

Associations of Preoperative Nutritional Status and Sarcopenia With Mortality in Patients With Abdominal Aortic Aneurysm After Open and Endovascular Abdominal Aortic Aneurysm Repair: A Retrospective Study.

OBJECTIVE: The effect of preoperative malnutrition and sarcopenia on outcomes in patients with abdominal aortic aneurysm (AAA) after open surgical repair (OSR) and endovascular abdominal aortic aneurysm repair is undefined. The authors conducted the study to address this issue in this population. DESIGN: A retrospective observational study. SETTING: A large tertiary hospital. PARTICIPANTS: Patients with AAA who underwent OSR and endovascular aneurysm repair (EVAR). INTERVENTIONS: Evaluation of nutritional status (Nutritional Risk Screening 2002 [NRS 2002] and the Controlling Nutritional Status [CONUT] scores), muscle size (skeletal muscle index), and postoperative parameters. MEASUREMENTS AND MAIN RESULTS: A total of 199 patients were reviewed from January 2020 to December 2022. Patients weew categorized into group A (CONUT <4) and group B (CONUT ≥4) based on whether their CONUT scores were less than 4. The mortality (p = 0.004) and the incidence of Clavien-Dindo class III complications (p = 0.007) in group B were higher than those in group A. CONUT score was an independent risk factor for midterm mortality (hazard ratio 1.329; 95% CI, 1.104-1.697; p = 0.002) and Clavien-Dindo class III complications (odds ratio 1.225; 95% CI, 1.012-1.482; p = 0.037) according to univariate and multivariate analyses, whereas NRS 2002 score and sarcopenia were not. Kaplan-Meier curves showed a lower midterm survival rate in group B (log-rank p < 0.001). CONCLUSION: In patients with AAA undergoing OSR or EVAR, a CONUT score ≥4 was associated with increased Clavien-Dindo class III complications and mortality. Preoperative nutritional status should be evaluated and optimized in this high-risk population.

Value of the modified Patient-Generated Subjective Global Assessment in indicating the need for nutrition intervention and predicting overall survival in patients with malignant tumors in at least two organs.

BACKGROUND: Although the Patient-Generated Subjective Global Assessment (PG-SGA) is a reference standard used to assess a patient's nutrition status, it is cumbersome to administer. The aim of the present study was to estimate the value of a simpler and easier-to-use modified PG-SGA (mPG-SGA) to evaluate the nutrition status and need for intervention in patients with malignant tumors present in at least two organs. METHODS: A total of 591 patients (343 male and 248 female) were included from the INSCOC study. A Pearson correlation analysis was conducted to assess the correlation between the mPG-SGA and nutrition-related factors, with the optimal cut-off defined by a receiver operating characteristic curve (ROC). The consistency between the mPG-SGA and PG-SGA was compared in a concordance analysis. A survival analysis was used to determine the effects of nutritional intervention among different nutrition status groups. Univariable and multivariable Cox analyses were applied to evaluate the association of the mPG-SGA with the all-cause mortality. RESULTS: The mPG-SGA showed a negative association with nutrition-related factors. Individuals with an mPG-SGA ≥ 5 (rounded from 4.5) were considered to need nutritional intervention. Among the malnourished patients (mPG-SGA ≥ 5), the overall survival (OS) of those who received nutrition intervention was significantly higher than that of patients who did not. However, the OS was not significantly different in the better-nourished patients (mPG-SGA < 5). CONCLUSION: Our findings support that the mPG-SGA is a feasible tool that can be used to guide nutritional interventions and predict the survival of patients with malignant tumors affecting at least two organs.

Five-Year Mortality Outcomes for Eating As Treatment (EAT), a Health Behavior Change Intervention to Improve Nutrition in Patients With Head and Neck Cancer: A Stepped-Wedge, Randomized Controlled Trial.

PURPOSE: Malnutrition affects up to 80% of patients with head and neck cancer (HNC) and is associated with higher burden of disease, poorer treatment outcomes, and greater mortality. The Eating As Treatment (EAT) intervention is a behavioral intervention previously demonstrated to be effective in improving nutritional status, depression, and quality of life in patients with HNC. This article examines the effects of the EAT intervention on 5-year mortality among participants. METHODS AND MATERIALS: A multicenter, stepped-wedge, randomized controlled trial was conducted in 5 Australian hospitals. Dietitians were trained to deliver EAT, a combination of motivational interviewing and cognitive behavior therapy strategies, to patients with HNC receiving radiation therapy. Secondary analyses of survival benefit on an intention-to-treat basis were performed. Differences in proportions of 5-year all-cause mortality between the control and EAT intervention arms were analyzed using multivariable logistic regression, and 5-year survival rates were analyzed using Cox proportional hazards regression. Analyses controlled for temporal effects (study duration), hospital site (clustering), and baseline nutritional status differences. RESULTS: Overall, there were 64 deaths in the 5 years after enrollment, 36 (24%) among those assigned to the control condition and 28 (18%) among those assigned to EAT. Logistic regression showed statistically significant reduced odds in favor of EAT (odds ratio, 0.33; 95% CI, 0.11-0.96), with an absolute risk reduction of 17% (95% CI, 0.01-0.33) and a relative risk reduction of 55% (95% CI, 0.22-0.92), resulting in a number needed to treat of 6 (95% CI, 4-13). Survival analysis revealed that risk of death was significantly reduced by the EAT intervention (hazard ratio, 0.39; 0.16-0.96). CONCLUSIONS: Participation in EAT provided a statistically and clinically meaningful survival benefit, likely via improved nutrition during radiation therapy. This survival benefit strengthens the finding of the main trial, showing that a behavioral intervention focused on nutrition could improve HNC outcomes. Replication studies using stepped-wedge designs for implementation into clinical practice may be warranted.

Global disability-adjusted life years and deaths attributable to child and maternal malnutrition from 1990 to 2019.

Background: Child and maternal malnutrition (CMM) caused heavy disability-adjusted life years (DALY) and deaths globally. It is crucial to understand the global burden associated with CMM in order to prioritize prevention and control efforts. We performed a comprehensive analysis of the global DALY and deaths attributable to CMM from 1990 to 2019 in this study. Methods: The age-standardized CMM related burden including DALY and death from 1990 to 2019 were accessed from the Global Burden of Disease study 2019 (GBD 2019). The changing trend were described by average annual percentage change (AAPC). The relationship between sociodemographic factors and burden attributable to CMM were explored by generalized linear model (GLM). Results: Globally, in 2019, the age-standardized DALY and death rates of CMM were 4,425.24/100,000 (95% UI: 3,789.81/100,000-5,249.55/100,000) and 44.72/100,000 (95% UI: 37.83/100,000-53.47/100,000), respectively. The age-standardized DALY rate (AAPC = -2.92, 95% CI: -2.97% to -2.87%) and death rates (AAPC = -3.19, 95% CI: -3.27% to -3.12%) presented significantly declining trends during past 30 years. However, CMM still caused heavy burden in age group of <28 days, Sub-Saharan Africa and low SDI regions. And, low birth weight and short gestation has identified as the primary risk factors globally. The GLM indicated that the highly per capita gross domestic product, per capita current health expenditure, physicians per 1,000 people were contributed to reduce the burden attributable to CMM. Conclusion: Although global burden attributable to CMM has significantly declined, it still caused severe health burden annually. To strengthen interventions and address resources allocation in the vulnerable population and regions is necessary.

A longitudinal study to determine if all critically ill patients should be considered at nutrition risk or is there a highly accurate screening tool to be adopted?

BACKGROUND: Nutrition risk is prevalent in intensive care unit (ICU) settings and related to poor prognoses. We aimed to evaluate the concurrent and predictive validity of different nutrition risk screening tools in the ICU. METHODS: Data were collected between 2019 and 2022 in six ICUs (n = 450). Nutrition risk was evaluated by modified Nutrition Risk in Critically ill (mNUTRIC), Nutritional Risk Screening (NRS-2002), Malnutrition Screening Tool (MST), Malnutrition Universal Screening Tool (MUST), and Nutritional Risk in Emergency (NRE-2017). Accuracy and agreement of the tools were assessed; logistic regression was used to verify the association between nutrition risk and prolonged ICU stay; Cox regression was used for mortality in the ICU, both with adjustment for confounders. RESULTS: NRS-2002 ≥5 showed the best accuracy (0.63 [95% CI, 0.58-0.69]) with mNUTRIC, and MST with NRS-2002 ≥5 (0.76 [95% CI, 0.71-0.80]). All tools had a poor/fair agreement with mNUTRIC (k = 0.019-0.268) and moderate agreement with NRS-2002 ≥5 (k = 0.474-0.503). MUST (2.26 [95% CI 1.40-3.63]) and MST (1.69 [95% CI, 1.09-2.60]) predicted death in the ICU, and the NRS-2002 ≥5 (1.56 [95% CI 1.02-2.40]) and mNUTRIC (1.86 [95% CI, 1.26-2.76]) predicted prolonged ICU stay. CONCLUSION: No nutrition risk screening tool demonstrated a satisfactory concurrent validity; only the MUST and MST predicted ICU mortality and the NRS-2002 ≥5 and mNUTRIC predicted prolonged ICU stay, suggesting that it could be appropriate to adopt the ESPEN recommendation to assess nutrition status in patients with ≥48 h in the ICU.