Malnutrition and Neurodegenerative Diseases

Impact of clinical pharmacist interventions on medication administration via enteral feeding tubes in a neurology ward: a pre- and post-educational prospective study

Objectives

The aim of this study was to evaluate the effects of clinical pharmacists' education and interventions on the appropriateness of dosage forms of drugs administered via the enteral feeding tubes (EFTs) in hospitalised patients in the neurology ward.

Methods

This was a prospective, pre-post intervention study conducted among patients and neurologist team professionals in the neurology ward of a training and research hospital in Istanbul, Türkiye. The study was designed in two phases as a pre-education observation period (OP) and a post-education intervention period (IP), during which the clinical pharmacists provided the required recommendations. Medications evaluated in terms of EFT-related medication administration errors (EFTRMAE) during the hospitalisation and discharge of patients in OP and IP. The knowledge levels of the neurologist team regarding EFT medication administration were collected and evaluated with an online survey before and after the education program.

Results

A total of 68 patients were included in the study, with 34 patients in the OP and 34 in the IP. During hospitalisation, EFTRMAEs were observed in 24 patients (70.6%) in the OP, whereas in the IP, EFTRMAEs were detected in 13 patients (38.2%) before clinical pharmacist interventions (p = 0.014). Throughout hospitalisation in the IP group, clinical pharmacists provided 25 interventions related to EFTRMAEs, of which 84% were accepted by physicians. However, only 11 of the accepted recommendations were fully implemented. Following these interventions, inappropriate drug administration via EFT remained in only 5 patients (14.7%) (p < 0.001). At hospital discharge, the EFTRMAE rate, which was 76.5% in the OP group, decreased to 23.5% in the IP group (p < 0.001). The neurologist team's knowledge of EFT medication administration improved significantly following clinical pharmacist education, with the average number of correct responses increasing from 16.1 ± 4 before the education to 21.1 ± 2.1 afterward (p < 0.001).

Conclusion

EFTRMAEs are frequently encountered in patients hospitalised in the neurology ward. Including clinical pharmacists in the healthcare team and the education program provided to physicians and nurses will increase the knowledge level of participants and the ability of physicians to prescribe appropriate dosage forms for administration via EFT.

Malnutrition Risk in Older Adults: Evaluating the Diagnostic Relevance of Serum Biomarkers: SIRT-1, CCK-8, Melatonin, and Total Antioxidant Capacity (TAC)

Background/Objectives: Addressing the risk of malnutrition at an early stage is crucial to preventing its development, which can have a detrimental impact on physical and mental health status. This study investigates the potential role of biochemical biomarkers such as sirtuin 1 (SIRT-1), melatonin, cholecystokinin-8 (CCK-8), and total antioxidant capacity (TAC) in identifying the risk of malnutrition. Methods: This cross-sectional study assessed malnutrition risk in 153 community-dwelling older adults using the Mini Nutritional Assessment (MNA). Serum levels of SIRT-1, melatonin, and CCK-8 were analyzed with enzyme-linked immunosorbent assay (ELISA), and total antioxidant capacity (TAC) was measured using the ferric reducing ability of plasma (FRAP) method. Results: Serum levels of TAC and CCK-8 were significantly positively correlated with grip strength and visceral adipose tissue, with TAC levels also showing associations with appendicular skeletal muscle mass index (ASMI), total body water, total energy expenditure, fat-free mass index, and fat mass index (p < 0.001). CCK-8 emerged as a strong predictor of malnutrition risk (AUC = 0.58 in females, AUC = 0.64 in males), whereas SIRT-1 (AUC = 0.57 for both sexes), melatonin (AUC = 0.46 for females, AUC = 0.51 for males), and TAC (AUC = 0.42 for females, AUC = 0.54 for males) exhibited weaker predictive abilities. A multivariate model incorporating CCK-8 demonstrated excellent predictive accuracy (AUC = 0.84, 95% CI: 0.77-0.90) and indicated a potential association between elevated CCK-8 levels and a higher risk of malnutrition. Conclusions: In conclusion, this study highlights the effectiveness of a multi-parameter model incorporating CCK-8 as a reliable approach for assessing malnutrition risk in older adults, offering a comprehensive evaluation of the condition. However, further research is needed to confirm its applicability and accuracy in diverse elderly populations and clinical settings.

Dysphagia is a risk factor of malnutrition in X-linked Dystonia-Parkinsonism

Introduction

Malnutrition is a leading cause of death for persons living with X-linked dystonia-parkinsonism (XDP), a degenerative disease endemic to the Philippines. Difficulty swallowing has been linked to malnutrition in other populations; however, knowledge of this relationship is limited in XDP. As such, the purpose of this study was to determine the association between dysphagia and malnutrition in this population.

Methods

21 individuals with XDP, 26 controls, and 18 genetic carriers were included in the final data analysis. Spearman's rank order correlation coefficient was used to determine an association between baseline EAT-10 total scores and 12-month malnutrition status, and multiple linear regression to evaluate the predictive ability of the EAT-10. A baseline EAT-10 score cut-off point predicting 12-month malnutrition status was estimated.

Results

For the XDP group, the baseline EAT-10 total scores had a significant negative correlation (r = -0.68, p < 0.001) with and was a significant predictor (p = 0.001) of 12-month BMI. A baseline EAT-10 total score of ≥ 4 predicted malnutrition twelve months after administration (sensitivity = 0.93; specificity = 1; AUC = 0.95).

Discussion

Dysphagia, as measured using the EAT-10, was associated with BMI in the XDP population. Additionally, an EAT-10 total score ≥ 4 could predict malnutrition in twelve months after test administration. With these findings, healthcare providers could identify patients with XDP at high risk for malnutrition earlier and provide intervention sooner.

Undernutrition, cognitive decline and dementia: The collaborative PROMED-COG pooled cohorts study

BACKGROUND & AIMS

Undernutrition may negatively impact cognitive function, but evidence of this relationship is not yet consolidated. Under the "PROtein enriched MEDiterranean diet to combat undernutrition and promote healthy neuroCOGnitive ageing" (PROMED-COG) project, we evaluated the association between undernutrition, and cognitive decline and incident dementia in older adults.

METHODS

Retrospective data harmonization was performed on three Italian population-based studies: the Italian Longitudinal Study of Ageing (ILSA), the Progetto Veneto Anziani (Pro.V.A.), and the Bollate Eye Study-Follow-Up (BEST-FU). The associations between undernutrition, operationalized using the Global Leadership Initiative on Malnutrition (GLIM) criteria, and decline on the Mini-Mental State Examination (MMSE) or dementia incidence follow-up were evaluated with Cox proportional hazard regression models.

RESULTS

The pooled cohort comprised 9071 individuals (52% females) aged between 42 and 101 years. The prevalence of undernutrition at the baseline was 14.3%, significantly higher among females (15.4% vs 13%) and in older age, ranging from 3.5% in those aged <60 years to 28.8% in those 85+ years. Undernutrition was associated with both cognitive decline over a median 8.3-year follow-up (Hazard Ratio (HR) 1.20, 95% Confidence Interval (CI) 1.02-1.41, p = 0.028) and incidence of dementia over a median 8.6-year follow-up (HR = 1.57, 95%CI 1.01-2.43, p = 0.046). For cognitive decline, the association with undernutrition was more marked in males than females (HR = 1.36, 95%CI 1.05-1.77, p = 0.019 vs HR = 1.10, 95% CI 0.89-1.36, p = 0.375).

CONCLUSION

Undernutrition is prevalent among older people and is associated with an increased risk of experiencing cognitive decline and dementia. The prevention and early identification of undernutrition could be an important nonpharmacologic strategy to counteract neurodegeneration.

A critical view of the use of predictive energy equations for the identification of hypermetabolism in motor neuron disease: A pilot study

BACKGROUND AND AIMS

People living with motor neuron disease (MND) frequently struggle to consume an optimal caloric intake. Often compounded by hypermetabolism, this can lead to dysregulated energy homeostasis, prompting the onset of malnutrition and associated weight loss. This is associated with a poorer prognosis and reduced survival. It is therefore important to establish appropriate nutritional goals to ensure adequate energy intake. This is best done by measuring resting energy expenditure (mREE) using indirect calorimetry. However, indirect calorimetry is not widely available in clinical practice, thus dietitians caring for people living with MND frequently use energy equations to predict resting energy expenditure (pREE) and estimate caloric requirements. Energy prediction equations have previously been shown to underestimate resting energy expenditure in over two-thirds of people living with MND. Hypermetabolism has previously been identified using the metabolic index. The metabolic index is a ratio of mREE to pREE, whereby an increase of mREE by ≥110% indicates hypermetabolism. We aim to critically reflect on the use of the Harris-Benedict (1919) and Henry (2005) energy prediction equations to inform a metabolic index to indicate hypermetabolism in people living with MND.

METHODS

mREE was derived using VO₂ and VCO₂ measurements from a GEMNutrition indirect calorimeter. pREE was estimated by Harris-Benedict (HB) (1919), Henry (2005) and kcal/kg/day predictive energy equations. The REE variation, described as the percentage difference between mREE and pREE, determined the accuracy of pREE ([pREE-mREE]/mREE) x 100), with accuracy defined as ≤ ± 10%. A metabolic index threshold of ≥110% was used to classify hypermetabolism. All resting energy expenditure data are presented as kcal/24hr.

RESULTS

Sixteen people living with MND were included in the analysis. The mean mREE was 1642 kcal/24hr ranging between 1110 and 2015 kcal/24hr. When REE variation was analysed for the entire cohort, the HB, Henry and kcal/kg/day equations all overestimated REE, but remained within the accuracy threshold (mean values were 2.81% for HB, 4.51% for Henry and 8.00% for kcal/kg/day). Conversely, inter-individual REE variation within the cohort revealed HB and Henry equations both inaccurately reflected mREE for 68.7% of participants, with kcal/kg/day inaccurately reflecting 41.7% of participants. Whilst the overall cohort was not classified as hypermetabolic (mean values were 101.04% for HB, 98.62% for Henry and 95.64% for kcal/kg/day), the metabolic index ranges within the cohort were 70.75%-141.58% for HB, 72.82%-127.69% for Henry and 66.09%-131.58% for kcal/kg/day, indicating both over- and under-estimation of REE by these equations. We have shown that pREE correlates with body weight (kg), whereby the lighter the individual, the greater the underprediction of REE. When applied to the metabolic index, this underprediction biases towards the classification of hypermetabolism in lighter individuals.

CONCLUSION

Whilst predicting resting energy expenditure using the HB, Henry or kcal/kg/day equations accurately reflects derived mREE at group level, these equations are not suitable for informing resting energy expenditure and classification of hypermetabolism when applied to individuals in clinical practice.

Calorie restriction or dietary restriction: how far they can protect the brain against neurodegenerative diseases?

Finding the correct nutritional intervention is one of the biggest challenges in treating patients with neurodegenerative diseases. In general, these patients develop strong metabolic alterations, resulting in lower treatment efficacy and higher mortality rates. However, there are still many open questions regarding the effectiveness of dietary interventions in neurodiseases. Some studies have shown that a reduction in calorie intake activates key pathways that might be important for preventing or slowing down the progression of such diseases. However, it is still unclear whether these neuroprotective effects are associated with an overall reduction in calories (hypocaloric diet) or a specific nutrient restriction (diet restriction). Therefore, here we discuss how commonly or differently hypocaloric and restricted diets modulate signaling pathways and how these changes can protect the brain against neurodegenerative diseases.

Racial Disparities in Nutritional Risk among Community-Dwelling Older Adults in Adult Day Health Care

Information regarding nutritional risk among users of American adult day health centers (ADHCs), 60% of whom are racial minorities, is scant. This study examined nutritional risk and associated factors in a diverse sample ADHC users aged 50+ using secondary cross-sectional analysis of data collected between 2013 and 2017. Risk was assessed using the DETERMINE checklist, and results were stratified by race. The majority of the sample (N = 188) was at moderate (45.2%) or high (38.5%) nutritional risk, with statistically significant racial differences. Blacks were at greater risk than any other group: 65% had high nutritional risk; 76.5% ate <5 servings of fruits, vegetables, or milk daily; 21% ate <2 meals daily, 48.5% reported involuntary weight loss/gain, and 41.2% had tooth loss/mouth pain. Older adults in ADHCs are at elevated risk of malnutrition, disproportionately so amongst blacks. Both routine nutrition screening and population-specific approaches are needed to attenuate risk.