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This study examined the associations between overall diet quality and the risk of dementia in a rural cohort among the oldest old. Included in this prospective cohort study were 2232 participants aged ≥ 80 years and dementia-free at the baseline according to the Geisinger Rural Aging Study (GRAS), a longitudinal cohort in rural Pennsylvania. In 2009, diet quality was assessed by a validated dietary screening tool (DST). Incident cases of dementia during 2009–2021 were identified using diagnosis codes. This approach was validated by a review of electronic health records. Associations between diet quality scores and the incidence of dementia were estimated using the Cox proportional hazards models, adjusted for potential confounders. Across a mean of 6.90 years of follow-up, we identified 408 incident cases of all-cause dementia. Having a higher diet quality was not significantly associated with a lower risk for incidents of all-cause dementia (adjusted HR for the highest compared with the lowest tertile: 1.01, 95% CI: 0.79, 1.29, P-trend = 0.95). Similarly, we did not observe a significant association between diet quality and altered risks of Alzheimer’s disease and other forms of dementia. Overall, having a higher diet quality was not significantly associated with a lower risk of dementia among the oldest old during the full follow-up.

Serum albumin and prealbumin, well-known visceral proteins, have traditionally been considered useful biochemical laboratory values in a nutrition assessment. However, recent literature disputes this contention. The aim of this document is to clarify that these proteins characterize inflammation rather than describe nutrition status or protein-energy malnutrition. Both critical illness and chronic illness are characterized by inflammation and, as such, hepatic reprioritization of protein synthesis occurs, resulting in lower serum concentrations of albumin and prealbumin. In addition, the redistribution of serum proteins occurs because of an increase in capillary permeability. There is an association between inflammation and malnutrition, however, not between malnutrition and visceral-protein levels. These proteins correlate well with patients' risk for adverse outcomes rather than with protein-energy malnutrition. Therefore, serum albumin and prealbumin should not serve as proxy measures of total body protein or total muscle mass and should not be used as nutrition markers. This paper has been approved by the American Society for Parenteral and Enteral Nutrition Board of Directors.

The Global Leadership Initiative on Malnutrition (GLIM) provides consensus criteria for the diagnosis of malnutrition that can be widely applied. The GLIM approach is based on the assessment of three phenotypic (weight loss, low body mass index, and low skeletal muscle mass) and two etiologic (low food intake and presence of disease with systemic inflammation) criteria, with diagnosis confirmed by any combination of one phenotypic and one etiologic criterion fulfilled. Assessment of muscle mass is less commonly performed than other phenotypic malnutrition criteria, and its interpretation may be less straightforward, particularly in settings that lack access to skilled clinical nutrition practitioners and/or to body composition methodologies. In order to promote the widespread assessment of skeletal muscle mass as an integral part of the GLIM diagnosis of malnutrition, the GLIM consortium appointed a working group to provide consensus-based guidance on assessment of skeletal muscle mass. When such methods and skills are available, quantitative assessment of muscle mass should be measured or estimated using dual-energy x-ray absorptiometry, computerized tomography, or bioelectrical impedance analysis. For settings where these resources are not available, then the use of anthropometric measures and physical examination are also endorsed. Validated ethnic- and sex-specific cutoff values for each measurement and tool are recommended when available. Measurement of skeletal muscle function is not advised as surrogate measurement of muscle mass. However, once malnutrition is diagnosed, skeletal muscle function should be investigated as a relevant component of sarcopenia and for complete nutrition assessment of persons with malnutrition.

The oldest old (aged ≥80 years) are often the population subgroup at high nutritional risk due to age-related metabolic changes. We performed a validation analysis of a dietary screening tool (DST) which was developed for older adults among the oldest old. We examined dietary intakes using three 24-hour dietary recalls and the DST among 122 participants (aged 82-97) of the Geisinger Rural Aging Study. DST scores were compared with the Health Eating Index (HEI)-2015 scores, which were calculated based on three-day dietary recalls. Pearson correlations were used to characterize concurrent validity and Bland-Altman plots were used to identify potential bias. DST scores were significantly correlated with HEI scores (adjusted r = 0.68; p 0.001) in an age- and sex-adjusted model. Those within the not-at-risk DST group had significantly higher HEI scores (adjusted means = 79.6 ± 3.68) compared with those who were in the at-risk (adjusted means = 51.2 ± 1.56) and the possibly-at-risk (adjusted means = 66.3 ± 1.79) groups (p-trend0.001). The DST appears to be a valid measure of diet quality in the oldest old when compared with the HEI and may be a potential tool to assess overall diet quality in this population.

More perceived physical fatigability and poor diet quality are associated with impairments in physical function in older adults. However, the degree to which more perceived fatigability explains the association between poor diet quality and low physical function is unknown. We examined this relationship in 122 (66F, 56M) of the oldest-old participants from the Geisinger Rural Aging Study (GRAS). We used 24-h dietary recalls to assess the Healthy Eating Index (HEI), the Pittsburgh Fatigability Scale (PFS, 0–50) to assess perceived physical fatigability, and the PROMIS Physical Function 20a* to assess physical function. We grouped participants into three age categories: 80–84 (n = 51), 85–89 (n = 51), and 90+ (n = 20) years. Multiple linear regression revealed that a lower HEI was associated with higher PFS Physical score after adjusting for age group, sex, body mass index, and the number of medical conditions (p = 0.001). Several macro- and micro-nutrient intakes were also lower in those reporting more (≥15) compared to less (&lt, 15) perceived physical fatigability. Mediation analysis revealed that PFS Physical scores explained ~65% (p = 0.001) of the association between HEI total score and PROMIS19 Physical Function score. Poor diet quality may contribute to more perceived physical fatigability, which could exacerbate impairments in the oldest-old’s physical function.

Background Several dietary components have been shown to be neuroprotective against risk of neurodegeneration. However, limited observational studies have examined the role of overall diet quality on risk of Parkinson's disease. Objectives We examined the associations between diet quality and risk of Parkinson's disease in a prospective cohort study and meta-analysis. Methods Included in the cohort study were 3,653 participants (1,519 men and 2,134 women; mean age: 81.5 years) in the Geisinger Rural Aging Study longitudinal cohort in Pennsylvania. Diet quality was assessed using a validated dietary screening tool containing 25 food- and behavior-specific questions in 2009. Potential Parkinson's cases were identified using electronic health records based on ICD9 (332.*), ICD10 (G20), and Parkinson-related treatments. Hazard ratios (HRs) and 95% confidence intervals (CIs) across diet quality tertiles were calculated using Cox proportional hazards models after adjusting for potential confounders. We further performed a meta-analysis by pooling our study with four published papers on this topic. Random-effects model was utilized to calculate the pooled risk ratios and 95% confidence intervals (CIs). Results During a mean of 6.94 years of follow-up, 47 incident Parkinson's cases were documented. Having high diet quality at baseline was associated with lower Parkinson's disease risk (adjusted HR for the highest vs the lowest diet quality tertile = 0.39; 95% CI: 0.17, 0.89; p-trend = 0.02). The meta-analysis including 140,617 individuals also showed that adherence to high diet quality or a healthy dietary pattern was associated with lower risk of Parkinson's disease (pooled risk ratio = 0.64; 95% CI: 0.49, 0.83). Conclusion Having high diet quality or a healthy dietary pattern was associated with lower future risk of Parkinson's disease.

Background: Diet is an important lifestyle factor that may prevent or slow the onset and progression of neurodegeneration. Some, but not all, recent studies have suggested that adherence to a healthy dietary pattern may be associated with reduced risk of dementia. Objective: In this meta-analysis, we systematically examined the associations between overall dietary patterns, assessed a priori and a posteriori, and risk of dementia. Methods: We systematically searched PubMed, Web of Science, and the Cumulative Index for Nursing and Allied Health databases from January 1, 1981 to September 11, 2019. Prospective studies published in English were included. Random-effects model was used to calculate the pooled risk ratios and 95% confidence intervals (CIs). Results: Sixteen research articles were identified in the systematic review and 12 research articles including 66,930 participants were further included for the meta-analysis. Adherence to high diet quality or a healthy dietary pattern was significantly associated with lower risk of overall dementia (pooled risk ratio = 0.82; 95% CI: 0.70, 0.95; n = 12) and Alzheimer’s disease (pooled risk ratio = 0.61; 95% CI: 0.47, 0.79; n = 6) relative to those with low diet quality or an unhealthy dietary pattern. Subgroup analyses stratified by age, sex, follow-up duration, diet quality assessment approach, study location, and study quality generated similar results. Conclusion: Adherence to a healthy dietary pattern was associated with lower risk of overall dementia. Further randomized controlled trials are needed to provide additional evidence about the role of a healthy diet on the development and progression of dementia.

Background: The Global Leadership Initiative on Malnutrition (GLIM) created a consensus-based framework consisting of phenotypic and etiologic criteria to record the occurrence of malnutrition in adults. This is a minimum set of practicable indicators for use in characterizing a patient/client as malnourished, considering the global variations in screening and nutrition assessment, and to be used across different health care settings. As with other consensus-based frameworks for diagnosing disease states, these operational criteria require validation and reliability testing as they are currently based solely on expert opinion.Methods: Several forms of validation and reliability are reviewed in the context of GLIM, providing guidance on how to conduct retrospective and prospective studies for criterion and construct validity.Findings: There are some aspects of GLIM criteria which require refinement; research using large data bases can be employed to reach this goal. Machine learning is also introduced as a potential method to support identification of the best cut-points and combinations of operational criteria for use with the different forms of malnutrition, which the GLIM criteria were created to denote. It is noted as well that the validation and reliability testing need to occur in a variety of sectors, populations and with diverse persons completing the criteria.Conclusion: The guidance presented supports the conduct and publication of quality validation and reliability studies for GLIM. (c) 2020 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism and American Society for Parenteral and Enteral Nutrition [Published by Wiley]. All rights reserved.

IMPACT: Understanding dietary patterns and nutrient intakes of the aging population may help address concerns and dietary guidelines regarding their nutritional needs. OBJECTIVES/GOALS: The objective of this study is to test the hypothesis that a healthy dietary pattern in the oldest old (aged 80 years and older) is related to greater compliance with dietary recommendations and better nutrient intake profiles. METHODS/STUDY POPULATION: We conducted a cross-sectional study of 122 participants aged 82 to 97 years old from the Geisinger Rural Aging Study (GRAS) cohort in rural Pennsylvania (n = 56 men and 66 women). The main outcome measures of the investigation were the daily nutrient intakes and food group intakes evaluated from the average of three 24-hour dietary recalls. The dietary patterns were determined by cluster analysis from 28 food groups. Diet quality and adherence to the Dietary Guidelines for Americans was assessed by the Healthy Eating Index (HEI)-2015 and the Dietary Screening Tool (DST). Recommended intakes were determined by the Recommended Dietary Allowances (RDAs) or Adequate Intakes (AIs). RESULTS/ANTICIPATED RESULTS: Less than 50% of participants met the dietary recommended intakes for vitamins D, E, K, B6, dietary fiber, zinc, potassium, and calcium. The more-nutrient-dense cluster was characterized by higher intakes of fruits and vegetables. The less-nutrient-dense cluster was characterized by higher intakes of foods including desserts and sweets. After adjusting for age, sex, and energy intake, participants in the more-nutrient-dense dietary pattern had a higher intake of vitamins A, D, K, C, fiber, and potassium (p < 0.05 for all). After adjusting for age and sex, participants in the more-nutrient-dense pattern had better diet quality assessed by the (HEI)-2015 (p < 0.001) and DST (p = 0.006). DISCUSSION/SIGNIFICANCE OF FINDINGS: Among the oldest old, many participants were found to have nutrient intakes lower than the recommended levels for fundamental nutrients suggesting that dietary guidance in addition to a dietary pattern more aligned with dietary guidelines may be beneficial for supporting healthy aging.

Objective To examine the risk factors of developing functional decline and make probabilistic predictions by using a tree-based method that allows higher order polynomials and interactions of the risk factors. Methods The conditional inference tree analysis, a data mining approach, was used to construct a risk stratification algorithm for developing functional limitation based on BMI and other potential risk factors for disability in 1,951 older adults without functional limitations at baseline (baseline age 73.1 ± 4.2 y). We also analyzed the data with multivariate stepwise logistic regression and compared the two approaches (e.g., cross-validation). Over a mean of 9.2 ± 1.7 years of follow-up, 221 individuals developed functional limitation. Results Higher BMI, age, and comorbidity were consistently identified as significant risk factors for functional decline using both methods. Based on these factors, individuals were stratified into four risk groups via the conditional inference tree analysis. Compared to the low-risk group, all other groups had a significantly higher risk of developing functional limitation. The odds ratio comparing two extreme categories was 9.09 (95% confidence interval: 4.68, 17.6). Conclusions Higher BMI, age, and comorbid disease were consistently identified as significant risk factors for functional decline among older individuals across all approaches and analyses.

During the European Society for Clinical Nutrition and Metabolism (ESPEN) Congress in Copenhagen, Denmark (September 2016), representatives of the 4 largest global parenteral and enteral nutrition (PEN) societies from Europe (ESPEN), the United States (American Society for Parenteral and Enteral Nutrition [ASPEN]), Asia (Parenteral and Enteral Nutrition Society of Asia [PENSA]), and Latin America (Latin American Federation of Parenteral and Enteral Nutrition [FELANPE]) and from national PEN societies around the world met to continue the conversation on how to diagnose malnutrition that started during the Clinical Nutrition Week, Austin, Texas (February 2016). Current thinking on diagnostic approaches was shared; ESPEN suggested a grading approach that could encompass various types of signs, symptoms, and etiologies to support diagnosis. ASPEN emphasized where the parties agree; that is, that the 3 major published approaches (ESPEN, ASPEN-Academy of Nutrition and Dietetics, and Subjective Global Assessment [SGA]) all propose weight loss as a key indicator for malnutrition. FELANPE suggested that the anticipated consensus approach needs to prioritize a diagnostic method that is available for everybody since resources differ globally. PENSA highlighted that body mass index varies by ethnicity/race and that sarcopenia/muscle mass evaluation is important for the diagnosis of malnutrition. A Core Working Committee of the Global Leadership Initiative on Malnutrition has been established (comprising 2 representatives each from the 4 largest PEN societies) that will lead consensus development in collaboration with a larger working group with broad global representation, using e-mail, telephone conferences, and face-to-face meetings during the upcoming ASPEN and ESPEN congresses. Transparency and external input will be sought. Objectives include (1) consensus development around evidence-based criteria for broad application, (2) promotion of global dissemination of the consensus criteria, and (3) seeking adoption by the World Health Organization and the International Classification of Diseases.

Background A lack of agreement on definitions and terminology used for nutrition-related concepts and procedures limits the development of clinical nutrition practice and research. Objective This initiative aimed to reach a consensus for terminology for core nutritional concepts and procedures. Methods The European Society of Clinical Nutrition and Metabolism (ESPEN) appointed a consensus group of clinical scientists to perform a modified Delphi process that encompassed e-mail communication, face-to-face meetings, in-group ballots and an electronic ESPEN membership Delphi round. Results Five key areas related to clinical nutrition were identified: concepts; procedures; organisation; delivery; and products. One core concept of clinical nutrition is malnutrition/undernutrition, which includes disease-related malnutrition (DRM) with (eq. cachexia) and without inflammation, and malnutrition/undernutrition without disease, e.g. hunger-related malnutrition. Over-nutrition (overweight and obesity) is another core concept. Sarcopenia and frailty were agreed to be separate conditions often associated with malnutrition. Examples of nutritional procedures identified include screening for subjects at nutritional risk followed by a complete nutritional assessment. Hospital and care facility catering are the basic organizational forms for providing nutrition. Oral nutritional supplementation is the preferred way of nutrition therapy but if inadequate then other forms of medical nutrition therapy, i.e. enteral tube feeding and parenteral (intravenous) nutrition, becomes the major way of nutrient delivery. Conclusion An agreement of basic nutritional terminology to be used in clinical practice, research, and the ESPEN guideline developments has been established. This terminology consensus may help to support future global consensus efforts and updates of classification systems such as the International Classification of Disease (ICD). The continuous growth of knowledge in all areas addressed in this statement will provide the foundation for future revisions.

OBJECTIVES: Oxylipins are derived from polyunsaturated fatty acids (PUFAs) and mediate inflammatory responses, but the time-dependent response of oxylipins to an acute inflammatory challenge in humans is unknown. Although omega-3 acid ethyl esters (O3EEs) reduce plasma triglycerides, it is unclear whether they alter the response of oxylipins in triglyceride rich lipoproteins (TGRLs). We investigated the effect of 3.4 g/d O3EEs on the oxylipin response to an inflammatory challenge. METHODS: Healthy young men (N = 16) received either placebo or 3.4 g/d O3EEs for 8–12 weeks in a crossover study design. After each treatment period, subjects underwent a low-dose endotoxin challenge (0.6 ng lipopolysaccharide (LPS)/kg body weight). Plasma samples were collected at baseline and 1, 2, 4, 8, 24, 48, 72, and 168 hours after LPS injection. TGRLs were separated from plasma, and esterified oxylipins were hydrolyzed and quantified by LC-MS/MS. Changes over time were assessed by the use of mixed models with repeated measures. Data is reported as mean (95% CI). RESULTS: The peak total oxylipin response occurred at 4 hours after LPS injection, with the exception of hydroxyeicosatetraenoic acids (HETEs). Regardless of treatment, the peak concentration of HETEs occurred at 2 hours. This timing differed from that of hydroxyoctadecadienoic acids (HODEs), which peaked at 4 hours (P = 0.004). Of the omega-3 derived oxylipins, O3EE treatment significantly increased hydroxyeicosapentaenoic acids (HEPEs) by 356% (133%, 792%), hydroxydocosahexaenoic acids (HDoHEs) by 172% (34%, 452%), and epoxydocosapentaeinoic acids (EpDPEs) by 316% (76%, 887%) compared to placebo at 4 hours after LPS challenge (P

OBJECTIVES: Little is known regarding dietary patterns and diet composition for the oldest old (defined as adults ≥ 80 years old) who usually have compromised diet quality due to age-related decline. We examined overall dietary patterns and further related the patterns to consumption of selected nutrients as well as perceived physical and mental fatigue. We hypothesized that those that had a healthy dietary pattern would have better nutrient intake profiles and reduced perceived fatigue. METHODS: We studied a cross-section of the Geisinger Rural Aging Study (GRAS) longitudinal cohort in rural Pennsylvania that included 122 participants (56 men and 66 women) aged from 82 to 97 years old. Average daily nutrient and food group intake were calculated from the average of three dietary recalls (1 weekend and 2 weekdays) by telephone. Dietary patterns were characterized using cluster analysis of 34 food groups. Mean nutrient intake and standard errors across dietary patterns were calculated after adjusting for age, sex, and energy consumption. Mean Pittsburgh fatigability questionnaire score examining physical and mental fatigue were calculated after adjusting for age, sex, and body mass index. RESULTS: Two dietary patterns were defined: one pattern (n = 53) characterized by its higher consumption of fruits, vegetables, seafood, and whole grains, and another pattern (n = 69), with higher intake of fats and oil, refined grains, and cheese. After adjusting for potential confounders, participants in the healthier pattern had significantly higher consumption of carbohydrate, protein, fiber, vitamin A, E, K, C, B6, B12, iron, zinc, and potassium with lower intakes of fat and sodium compared with those in the less healthy pattern (P

OBJECTIVES Diet quality has been associated with health outcomes and quality of life. However, the association between diet quality and mortality in older people, those aged 80 years and older, is understudied. Therefore, we conducted a prospective study to examine whether better diet quality, assessed by a validated dietary screening tool (DST), was associated with lower mortality in those aged 80 years and older. METHODS Our study included 1990 participants (812 men and 1178 women), with a mean age of 84.1 years at baseline (ranging from 80 to 102 years old), from the Geisinger Rural Aging Study longitudinal cohort in Pennsylvania. Baseline descriptive information was obtained in 2009, and the DST was administered via mailed survey. The DST is composed of 25 food- and behavior-specific questions associated with dietary intake that generate a diet quality score ranging from 0 (lowest) to 100 (highest). Death was identified using electronic medical record and the Social Security Death Index data. Hazard ratios (HRs) and 95% confidence intervals (CIs) across three diet quality categories were calculated by using Cox proportional hazards models after adjusting for potential confounders. RESULTS Over 8 years of follow-up (October 2009-February 2018), 931 deaths were documented. Higher diet quality was associated with lower mortality risk (P-trend = .04). Participants with high diet quality (defined as DST scores >75) had significantly lower risk of mortality compared with those with low diet quality (defined as DST scores

Rationale: This initiative is focused on building a global consensus around core diagnostic criteria for malnutrition in adults in clinical settings. Methods: In January 2016, the Global Leadership Initiative on Malnutrition (GLIM) was convened by several of the major global clinical nutrition societies. GLIM appointed a core leadership committee and a supporting working group with representatives bringing additional global diversity and expertise. Empirical consensus was reached through a series of face-to-face meetings, telephone conferences, and e-mail communications. Results: A two-step approach for the malnutrition diagnosis was selected, i.e. first screening to identify “at risk” status by the use of any validated screening tool, and second, assessment for diagnosis and grading the severity of malnutrition. The malnutrition criteria for consideration were retrieved from existing approaches for screening and assessment. Potential criteria were subjected to a ballot among the GLIM core and supporting working group members. The top five ranked criteria included three phenotypic criteria (weight loss, low body mass index, and reduced muscle mass) and two etiologic criteria (reduced food intake or assimilation, and inflammation or disease burden). To diagnose malnutrition at least one phenotypic criterion and one etiologic criterion should be present. Phenotypic metrics for grading severity as Stage 1 (moderate) and Stage 2 (severe) malnutrition are proposed. It is recommended that the etiologic criteria be used to guide intervention and anticipated outcomes. The recommended approach supports classification of malnutrition into four etiology-related diagnosis categories. Conclusion: A consensus scheme for diagnosing malnutrition in adults in clinical settings on a global scale is proposed. Next steps are to secure further collaboration and endorsements from leading nutrition professional societies, to identify overlaps with syndromes like cachexia and sarcopenia, and to promote dissemination, validation studies, and feedback. The diagnostic construct should be re-considered every 3–5 years., SCOPUS: ar.j, info:eu-repo/semantics/published

To determine whether glutamine (GLN)-supplemented parenteral nutrition (PN) improves clinical outcomes in surgical intensive care unit (SICU) patients.GLN requirements may increase with critical illness. GLN-supplemented PN may improve clinical outcomes in SICU patients.A parallel-group, multicenter, double-blind, randomized, controlled clinical trial in 150 adults after gastrointestinal, vascular, or cardiac surgery requiring PN and SICU care. Patients were without significant renal or hepatic failure or shock at entry. All received isonitrogenous, isocaloric PN [1.5 g/kg/d amino acids (AAs) and energy at 1.3× estimated basal energy expenditure]. Controls (n = 75) received standard GLN-free PN (STD-PN); the GLN group (n = 75) received PN containing alanyl-GLN dipeptide (0.5 g/kg/d), proportionally replacing AA in PN (GLN-PN). Enteral nutrition (EN) was advanced and PN weaned as indicated. Hospital mortality and infections were primary endpoints.Baseline characteristics, days on study PN and daily macronutrient intakes via PN and EN, were similar between groups. There were 11 hospital deaths (14.7%) in the GLN-PN group and 13 deaths in the STD-PN group (17.3%; difference, -2.6%; 95% confidence interval, -14.6% to 9.3%; P = 0.66). The 6-month cumulative mortality was 31.4% in the GLN-PN group and 29.7% in the STD-PN group (P = 0.88). Incident bloodstream infection rate was 9.6 and 8.4 per 1000 hospital days in the GLN-PN and STD-PN groups, respectively (P = 0.73). Other clinical outcomes and adverse events were similar.PN supplemented with GLN dipeptide was safe, but did not alter clinical outcomes among SICU patients.

Specialized pro-resolving mediator(s) (SPMs) are produced from the endogenous ω-3 polyunsaturated fatty acids (PUFA), eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA), and accelerate resolution of acute inflammation. We identified specific clusters of SPM in human plasma and serum using LC-MS/MS based lipid mediator (LM) metabololipidomics in two separate laboratories for inter-laboratory validation. The human plasma cluster consisted of resolvin (Rv)E1, RvD1, lipoxin (LX)B4, 18-HEPE, and 17-HDHA, and the human serum cluster consisted of RvE1, RvD1, AT-LXA4, 18-HEPE, and 17-HDHA. Human plasma and serum SPM clusters were increased after ω-3 supplementation (triglyceride dietary supplements or prescription ethyl esters) and low dose intravenous lipopolysaccharide (LPS) challenge. These results were corroborated by parallel determinations with the same coded samples in a second, separate laboratory using essentially identical metabololipidomic operational parameters. In these healthy subjects, two ω-3 supplementation protocols (Study A and Study B) temporally increased the SPM cluster throughout the endotoxin-challenge time course. Study A and Study B were randomized and Study B also had a crossover design with placebo and endotoxin challenge. Endotoxin challenge temporally regulated lipid mediator production in human serum, where pro-inflammatory eicosanoid (prostaglandins and thromboxane) concentrations peaked by 8 hours post-endotoxin and SPMs such as resolvins and lipoxins initially decreased by 2 h and were then elevated at 24 hours. In healthy adults given ω-3 supplementation, the plasma concentration of the SPM cluster (RvE1, RvD1, LXB4, 18-HEPE, and 17-HDHA) peaked at two hours post endotoxin challenge. These results from two separate laboratories with the same samples provide evidence for temporal production of specific pro-resolving mediators with ω-3 supplementation that together support the role of SPM in vivo in inflammation-resolution in humans.

The global population, including the United States, is experiencing a demographic shift with the proportion of older adults (aged ≥ 65 years) growing faster than any other age group. This demographic group is at higher risk for developing nutrition-related chronic conditions such as heart disease and diabetes as well as infections such as influenza and pneumonia. As a result, an emphasis on nutrition is instrumental for disease risk reduction. Unfortunately, inadequate nutrient status or deficiency, often termed hidden hunger, disproportionately affects older adults because of systematic healthcare, environmental, and biological challenges. This report summarizes the unique nutrition challenges facing the aging population and identifies strategies, interventions, and policies to address hidden hunger among the older adults, discussed at the scientific symposium “Hidden Hunger: Solutions for America’s Aging Population”, on March 23, 2018.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Response to the letter: Comment on "GLIM criteria for the diagnosis of malnutrition - A consensus report from the global clinical nutrition community" : Some considerations about the GLIM criteria - A consensus report for the diagnosis of malnutrition by Drs. LB da Silva Passos and DA De -Souza

Invited commentary in response to : Development of a nutritional documentation tool: a Delphi study

Global Leadership Initiative on Malnutrition : Progress Report From ASPEN Clinical Nutrition Week 2017

During the European Society for Clinical Nutrition and Metabolism (ESPEN) Congress in Copenhagen, Denmark (September 2016), representatives of the 4 largest global parenteral and enteral nutrition (PEN) societies from Europe (ESPEN), the United States (American Society for Parenteral and Enteral Nutrition [ASPEN]), Asia (Parenteral and Enteral Nutrition Society of Asia [PENSA]), and Latin America (Latin American Federation of Parenteral and Enteral Nutrition [FELANPE]) and from national PEN societies around the world met to continue the conversation on how to diagnose malnutrition that started during the Clinical Nutrition Week, Austin, Texas (February 2016). Current thinking on diagnostic approaches was shared; ESPEN suggested a grading approach that could encompass various types of signs, symptoms, and etiologies to support diagnosis. ASPEN emphasized where the parties agree; that is, that the 3 major published approaches (ESPEN, ASPEN-Academy of Nutrition and Dietetics, and Subjective Global Assessment [SGA]) all propose weight loss as a key indicator for malnutrition. FELANPE suggested that the anticipated consensus approach needs to prioritize a diagnostic method that is available for everybody since resources differ globally. PENSA highlighted that body mass index varies by ethnicity/race and that sarcopenia/muscle mass evaluation is important for the diagnosis of malnutrition. A Core Working Committee of the Global Leadership Initiative on Malnutrition has been established (comprising 2 representatives each from the 4 largest PEN societies) that will lead consensus development in collaboration with a larger working group with broad global representation, using e-mail, telephone conferences, and face-to-face meetings during the upcoming ASPEN and ESPEN congresses. Transparency and external input will be sought. Objectives include (1) consensus development around evidence-based criteria for broad application, (2) promotion of global dissemination of the consensus criteria, and (3) seeking adoption by the World Health Organization and the International Classification of Diseases.

To examine the risk factors of developing functional decline and make probabilistic predictions by using a tree-based method that allows higher order polynomials and interactions of the risk factors.The conditional inference tree analysis, a data mining approach, was used to construct a risk stratification algorithm for developing functional limitation based on BMI and other potential risk factors for disability in 1,951 older adults without functional limitations at baseline (baseline age 73.1 ± 4.2 y). We also analyzed the data with multivariate stepwise logistic regression and compared the two approaches (e.g., cross-validation). Over a mean of 9.2 ± 1.7 years of follow-up, 221 individuals developed functional limitation.Higher BMI, age, and comorbidity were consistently identified as significant risk factors for functional decline using both methods. Based on these factors, individuals were stratified into four risk groups via the conditional inference tree analysis. Compared to the low-risk group, all other groups had a significantly higher risk of developing functional limitation. The odds ratio comparing two extreme categories was 9.09 (95% confidence interval: 4.68, 17.6).Higher BMI, age, and comorbid disease were consistently identified as significant risk factors for functional decline among older individuals across all approaches and analyses.

Health care resource consumption is a growing concern. The aim of this study was to examine the associations between diet quality and body mass index with health care resource use (HRU) in a cohort of advanced age. Participants in the Geisinger Rural Aging Study (n=5,993) were mailed demographic and dietary questionnaires in 2009. Of those eligible, 2,995 (50%; 1,267 male, 1,728 female; mean age 81.4±4.4 years) provided completed surveys. Multivariate negative binomial models were used to estimate relative risk and 95% CI of HRU outcomes with diet quality as assessed by the Dietary Screening Tool score and body mass index determined from self-reported height and weight. Poor diet quality was associated with a 20% increased risk for emergency room (ER) visits. Fruit and vegetable consumption was grouped into quintiles of intake, with the highest quintile serving as the reference group in analyses. The three lowest fruit and vegetable quintiles were associated with increased risk for ER visits (23% to 31%); the lowest quintile increased risk for inpatient visits (27%). Obesity increased risk of outpatient visits; however, individuals with class I obesity were less likely than normal-weight individuals to have ER visits (relative risk=0.84; 95% CI 0.70 to 0.99). Diets of greater quality, particularly with greater fruit and vegetable intake, are associated with favorable effects on HRU outcomes among older adults. Overweight and obesity are associated with increased outpatient HRU and, among obese individuals, with decreased ER visits. These findings suggest that BMI and diet quality beyond age 74 years continue to affect HRU measures.

In an aging population, potentially modifiable factors impacting mortality such as diet quality, body mass index (BMI), and health-related quality of life (HRQOL) are of interest. Surviving members of the Geisinger Rural Aging Study (GRAS) (n = 5,993; aged ?74 years) were contacted in the fall of 2009. Participants in the present study were the 2,995 (1,267 male, 1,728 female; mean age 81.4 ± 4.4 years) who completed dietary and demographic questionnaires and were enrolled in the Geisinger Health Plan over follow-up (mean = 3.1 years). Cox proportional hazards multivariate regression models were used to examine the associations between all-cause mortality and BMI, diet quality, and HRQOL. Compared to GRAS participants with BMIs in the normal range, a BMI < 18.5 was associated with increased mortality (HR 1.85 95%CI 1.09, 3.14, P = 0.02), while a BMI of 25-29.9 was associated with decreased risk of mortality (HR 0.71 95%CI 0.55, 0.91, P =0.007). Poor diet quality increased risk for mortality (HR 1.53 95%CI 1.06, 2.22, P = 0.02). Finally, favorable health-related quality of life was inversely associated with mortality (HR 0.09 95%CI 0.06, 0.13, P < 0.0001). Higher diet quality and HALex scores, and overweight status, were associated with reduced all-cause mortality in a cohort of advanced age. While underweight (BMI < 18.5) increased risk of all-cause mortality, no association was found between obesity and all-cause mortality in this aged cohort.

OBJECTIVES: Diet is an important lifestyle factor that may prevent or slow the onset and progression of neurodegeneration. Recent studies suggest that adherence to a healthy dietary pattern is associated with reduced risk of cognitive decline. Few studies have examined the relationships between dietary patterns and risk of clinical neurodegenerative disease outcomes. In this meta-analysis, we examined the associations between overall dietary patterns, assessed a priori and a posteriori, and risk of major neurodegenerative disease including dementia, Alzheimer's disease, and Parkinson's disease. METHODS: We systematically searched in the PubMed, Web of Science, and Cumulative Index for Nursing and Allied Health databases starting from 1981 to October 10, 2018. Observational cohort studies published in English with prospective and case-control designs were included. Diet assessment approaches (a priori or a posteriori) were utilized to assist in determining whether the exposure was dietary pattern score or diet quality. Generic inverse variance method was used to calculate the pooled risk ratios and 95% confidence intervals (CIs) among the highest versus the lowest diet quality/dietary pattern score groups in random effect models. RESULTS: Seventeen studies with 173,283 participants were identified. Various diet quality indexes or dietary pattern scores, such as the Healthy Eating Index, the Mediterranean diet score, and dietary pattern scores generated by principal component analysis or reduced rank regression, were used among studies. Our meta-analysis of cohorts showed significant associations between adherence to high diet quality or healthy dietary pattern and lower risk of dementia (pooled risk ratio = 0.70; 95% CI: 0.56-0.86) and Parkinson's disease (pooled risk ratio = 0.72; 95% CI: 0.54-0.97) relative to those with low diet quality or unhealthy dietary pattern. CONCLUSIONS: Adherence to high diet quality or healthy dietary pattern may provide protective effects on risk of neurodegenerative diseases. Additional observational studies and randomized controlled trials are needed to address our study limitations and provide further evidence about the role of a poor diet on the development and progression of neurodegenerative diseases as well as the benefits of a healthy diet on the prevention of major neurodegenerative diseases. FUNDING SOURCES: United States Department of Agriculture, Agricultural Research Service agreement. SUPPORTING TABLES, IMAGES AND/OR GRAPHS

Malnutrition is common among hospitalized patients in the United States, and its coded prevalence is increasing. Malnutrition is known to be associated with increased morbidity, mortality and healthcare costs. Although national data indicate that the number of malnutrition diagnoses among hospital discharges has been steadily rising, an in-depth examination of the demographic and clinical characteristics of these patients has not been conducted. We examined data from the 2010 Healthcare Cost and Utilization Project (HCUP), the most recent nationally-representative data describing U.S. hospital discharges. Using ICD-9 codes, we constructed a composite variable indicating a diagnosis of malnutrition. Based on our definition, 3.2% of all U.S. hospital discharges in 2010 had this diagnosis. Relative to patients without a malnutrition diagnosis, those with the diagnosis were older, had longer lengths of stay and incurred higher costs. These patients were more likely to have 27 of 29 comorbidities assessed in HCUP. Finally, discharge to home care was twice as common among malnourished patients, and a discharge of death was more than 5 times as common among patients with a malnutrition diagnosis. Taken together, these nationally representative, cross-sectional data indicate that hospitalized patients discharged with a diagnosis of malnutrition are older and sicker and their inpatient care is more expensive than their counterparts without this diagnosis.

Appropriate recognition of malnutrition in adults requires knowledge of screening and assessment methodologies. An appreciation for the contributions of inflammation has resulted in a new etiology-based approach to defining malnutrition syndromes. The Academy of Nutrition and Dietetics and the American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) have published a consensus document that extends this approach to describe characteristics for the identification and documentation of malnutrition in adults. Nutrition screening tools are used to identify patients at nutrition risk and those who are likely to benefit from further assessment and intervention. Nutrition assessment serves to guide appropriate intervention. A systematic approach to nutrition assessment that supports the new diagnostic scheme and criteria from the Academy and A.S.P.E.N. has recently been presented. Since screening delays and failures in the diagnosis and management of malnutrition are all too common, a multidisciplinary team approach is recommended to promote improved communication and quality of care.

The population is aging worldwide. Delayed mortality is associated with an increased burden of chronic health conditions, many of which have a dietary component. A literature search was conducted to retrieve and review relevant articles considering quality of diets in association with mortality in older adults aged 60 years and older. In the studies we reviewed, diet quality defined using either a priori methods, which characterize dietary patterns based on existing dietary guidelines, or a posteriori methods, which define dietary patterns through statistical methods met review criteria. Sixteen articles met criteria for review. Generally, dietary patterns that demonstrated greater adherence to diets that emphasized whole fruits and vegetables, whole grains, low-fat dairy, lean meats, and legumes and nuts were inversely associated with mortality. However, a priori methods have not yet demonstrated associations between diet and mortality in older adults in the United States. Development of new methods based on regional variations in dietary intake may offer the best approach to assess associations with mortality.

The prevalence of obesity-related adverse health outcomes is increasing among older adults. Because it is thought that nutrition plays an important role in successful aging, there has been considerable interest in the association between dietary patterns of older adults and obesity-related health outcomes.This study examined the association between dietary patterns and mortality and prevalence of obesity-related health outcomes, namely cardiovascular disease (CVD), type 2 diabetes mellitus, hypertension, and metabolic syndrome (MetSyn), over a 5-year follow-up period in adults aged 75 years or greater.A longitudinal observational study with cross-sectional dietary assessment.Rural Central Pennsylvania.Community-dwelling older adults (N = 449; 76.5 years old; 57% female).Multiple, unannounced, 24-hour dietary recalls were used to collect dietary intake. Cluster analysis was used to derive dietary patterns. Prevalence of CVD, diabetes mellitus, hypertension, and MetSyn was extracted from outpatient electronic medical records. Logistic regression was used to examine the associations between dietary patterns and health outcomes and mortality.'Sweets and Dairy', 'Health-Conscious' and 'Western' dietary patterns were identified. Compared to the 'Health-Conscious' pattern, those in the 'Sweets and Dairy' pattern had increased odds of hypertension over the follow-up period; adjusted odds ratio (95% CI) was 2.18 (1.11-4.30). No significant associations were found for CVD, diabetes mellitus, MetSyn or mortality with dietary patterns.These findings support the potential value of healthy dietary patterns in the management of hypertension in older adults. We did not observe any other strong associations between dietary patterns and health outcomes or mortality in persons ≥ 75 years of age; thus failing to support the use of overly restrictive diet prescriptions for older persons, especially where food intake may be inadequate.

The explanation for reduced mortality among older persons with overweight or class I obesity compared to those of desirable weight remains unclear. Our objective was to investigate the joint effects of body mass index (BMI) and metabolic health status on all-cause mortality in a cohort of advanced age. Adults aged 74 ± 4.7 (mean ± SD) years at baseline (n = 4551) were categorized according to BMI (18.5-24.9, 25.0-29.9, 30.0-34.9, and ≥35.0 kg/m(2)) and the presence or absence of a metabolically healthy phenotype (i.e., 0 or 1 risk factors based on a modified Adult Treatment Panel III). Metabolically unhealthy was ≥2 risk factors. There were 2294 deaths over a mean 10.9 years of follow up. Relative to metabolically healthy desirable weight, metabolically healthy overweight or class I obesity was not associated with a greater mortality risk (HR 0.90; 95 CI% 0.73-1.13 and HR 0.58; 95 CI% 0.42-0.80, respectively) (P-interaction0.001). Results remained consistent in rigorous sensitivity analyses. The "obesity paradox" may be partially explained by the inclusion of metabolically healthy overweight and obese older persons, who do not have elevated mortality risk, in population studies of BMI and mortality.

IntroductionThe ASA24, an innovative internet-based tool widely used by researchers, may be a valid and reliable alternative in research when cost or time constraints do not allow for telephone 24-...

Objective To examine the association between baseline body mass index (BMI, kg/m2) and all-cause mortality in a well-characterized cohort of older persons. Methods The association between BMI (both as a categorical and continuous variable) and all-cause mortality was investigated using 4,565 Geisinger Rural Aging Study participants with baseline age 74.0 ± 4.7 years (mean ± SD) and BMI 29.5 ± 5.3 kg/m2 over a mean of 10.9 ± 3.8 years of follow-up. Results The relationship between BMI (as a continuous variable) and all-cause mortality was found to be U-shaped (P nonlinearity

The Academy of Nutrition and Dietetics (Academy) and the American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.) recommend that a standardized set of diagnostic characteristics be used to identify and document adult malnutrition in routine clinical practice. An etiologically based diagnostic nomenclature that incorporates a current understanding of the role of the inflammatory response on malnutrition's incidence, progression, and resolution is proposed. Universal use of a single set of diagnostic characteristics will facilitate malnutrition's recognition, contribute to more valid estimates of its prevalence and incidence, guide interventions, and influence expected outcomes. This standardized approach will also help to more accurately predict the human and financial burdens and costs associated with malnutrition's prevention and treatment and further ensure the provision of high-quality, cost-effective nutrition care.

Guidelines for nutrition support in pancreatitis have been inconsistently adapted to clinical practice. The International Consensus Guideline Committee (ICGC) established a pancreatitis task force to review published guidelines for pancreatitis in nutrition support. A PubMed search using the terms pancreatitis, acute pancreatitis, chronic pancreatitis, nutrition support, parenteral nutrition, enteral nutrition, and guidelines was conducted for the period from January 1999 to May 2011. Eleven guidelines were identified for review. The ICGC used the following process to develop unified guideline statements: summarize the strength of evidence (grading) of the guidelines; establish level of evidence for ICGC statements as high, intermediate, and low; assign published guideline levels of evidence; and define an ICGC grading system. International Pancreatitis Guideline Grades were established as follows: platinum—high level of evidence and consistent agreement among the guidelines; gold—acceptable level of evidence and no conflicting statements in guidelines; and silver—single existing guideline statement with no conflict in other guidelines. Eighteen ICGC statements were derived from the 11 published pancreatitis guidelines. Uniform agreement from widely disparate groups (United States, Europe, Japan, and China) resulted in 4 platinum-level guideline statements for nutrition in pancreatitis: nutrition support therapy (NST) is generally not needed for mild to moderate disease, NST is needed for severe disease, enteral nutrition (EN) is preferred over parenteral nutrition (PN), and use PN when EN is contraindicated or not feasible. This methodology provides a template for future ICGC nutrition guideline development. (JPEN J Parenter Enteral Nutr. 2012;36:284-291)