Barriers and facilitators of improved nutritional support for patients newly diagnosed with cancer: a pre-implementation study.

BACKGROUND: Disease-related malnutrition affects a significant number of patients with cancer and poses a major social problem worldwide. Despite both global and national guidelines to prevent and treat malnutrition, the prevalence is high, ranging from 20 to 70% in all patients with cancer. This study aimed to explore the current practice of nutritional support for patients with cancer at a large university hospital in Norway and to explore potential barriers and facilitators of the intervention in the Green Approach to Improved Nutritional support for patients with cancer (GAIN), prior to implementation in a clinical setting. METHODS: The study used individual interviews and a focus group discussion to collect data. Study participants included different healthcare professionals and patients with cancer treated at a nutrition outpatient clinic. The Consolidated Framework for Implementation Research (CFIR) was used to guide the thematic data analysis. RESULTS: Barriers connected to the current nutritional support were limited resources and undefined roles concerning responsibility for providing nutritional support among healthcare professionals. Facilitators included a desire for change regarding the current nutritional practice. The GAIN intervention was perceived as feasible for patients and healthcare professionals. Potential barriers included limited knowledge of technology, lack of motivation among patients, and a potential added burden experienced by the participating patients. CONCLUSIONS: The identification of the potential barriers and facilitators of the current nutritional support to patients with cancer will be used to plan the implementation of improved nutritional support in a randomized controlled trial for patients with cancer prior to clinical implementation. The current findings may be of value to others trying to implement either or both nutritional support and digital application tools in a clinical healthcare setting. TRIAL REGISTRATION: The study was registered in the National Institutes of Health Clinical trials 08/09/22. The identification code is NCT05544318.

Nutritional care in older adults: are we doing everything? An expert opinion review.

Malnutrition is a prevalent, yet often underdiagnosed and undertreated, condition in older adults. It is characterized by weight loss and/or reduced muscle mass due to diminished caloric intake, inflammation, and/or disease burden. In return, malnutrition can lead to diminished skeletal muscle functionality and disability, among others. Malnutrition plays a crucial role in the pathogenesis of two prevalent geriatric syndromes, namely sarcopenia and frailty. The complex interplay between malnutrition, sarcopenia, and frailty significantly impacts the older population, leading to increased morbidity, mortality, hospitalization rates, quality of life, and healthcare costs. Given the prognostic significance of malnutrition in geriatric care, recent guidelines emphasized the role of nutritional support in vulnerable populations. A group of vulnerable populations to malnutrition, sarcopenia, and frailty are older patients with hip fractures, cancer patients, and those with sarcopenic dysphagia. This article highlights the importance of individualized nutritional assessment and treatment in the management of vulnerable populations such as older patients with hip fractures, cancer, and those suffering from sarcopenic dysphagia. It presents practical protocols and guidelines that can be instrumental in enhancing the nutritional care of these groups, thereby improving their overall health outcomes.

Effect of Communication Mode on Disclosure of Nutrition Impact Symptoms During Nutrition Intervention Delivered to People With Upper Gastrointestinal Cancer.

Individuals diagnosed with upper gastrointestinal cancers experience a myriad of nutrition impact symptoms (NIS) compromise a person's ability to adequately meet their nutritional requirements leading to malnutrition, reduced quality of life and poorer survival. Electronic health (eHealth) is a potential strategy for improving the delivery of nutrition interventions by improving early and sustained access to dietitians to address both NIS and malnutrition. This study aimed to explore whether the mode of delivery affected participant disclosure of NIS during a nutrition intervention. Participants in the intervention groups received a nutrition intervention for 18 weeks from a dietitian via telephone or mobile application (app) using behaviour change techniques to assist in goal achievement. Poisson regression determined the proportion of individuals who reported NIS compared between groups. Univariate and multiple regression analyses of demographic variables explored the relationship between demographics and reporting of NIS. The incidence of reporting of NIS was more than 1.8 times higher in the telephone group (n = 38) compared to the mobile group (n = 36). Telephone predicted a higher likelihood of disclosure of self-reported symptoms of fatigue, nausea, and anorexia throughout the intervention period. A trusting therapeutic relationship built on human connection is fundamental and may not be achieved with current models of mobile health technologies.

Lack of Immediate Diagnosis and Appropriate Intervention Leads to Malnutrition in an Infant With Cleft Palate.

This case report describes a full-term infant with a cleft palate who experienced malnutrition because of the delayed introduction of a cleft-adapted bottle and identifies potential areas for improvement in clinical practice. The infant's weight for age z-score at birth was 0.05 and dropped to -1.45 by 2 months of age, indicating mild malnutrition. The infant established care with a cleft team and a cleft-adapted bottle was recommended as the primary feeding method. Feeding time subsequently decreased from 60 minutes per feeding to 20 minutes. The infant presented for palate repair at 9 months of age, and his z-score was -0.01, indicating he was no longer malnourished. Cleft-adapted bottles aid in feeding efficiency in infants with cleft palate, which may subsequently impact weight gain. Appropriate weight gain is essential to receive timely cleft palate repair and support healing.

Association between underweight status or low body mass index and the risk of developing superior mesenteric artery syndrome following scoliosis corrective surgery in pediatric patients: a review of the literature.

Superior mesenteric artery (SMA) syndrome is the compression of the third portion of the duodenum between the abdominal aorta and the superior mesenteric artery. Although multifactorial, the most frequent cause of SMA syndrome is significant weight loss and cachexia often induced by catabolic stress. SMA syndrome resulting from scoliosis surgery is caused by a reduction of the aortomesenteric angle and distance. Risk factors include rapid weight loss, malnutrition, and a rapid reduction in the mesenteric fat pad and are the most common causes of a decrease in the aortomesenteric angle and distance. Surgically lengthening the vertebral column can also lead to a reduction of the aortomesenteric distance, therefore, has been identified as a risk factor unique to spinal surgery. Despite a reported decline in SMA syndrome cases due to improved surgical techniques, duodenal compression is still a risk and remains a life-threatening complication of scoliosis surgery. This article is a cumulative review of the evidence of being underweight or having a low body mass index as risk factors for developing SMA syndrome following surgical scoliosis instrumentation and correction.

Perinatal protein malnutrition alters maternal behavior and leads to maladaptive stress response, neurodevelopmental delay and disruption on DNA methylation machinery in female mice offspring.

Deficiencies in maternal nutrition have long-term consequences affecting brain development of the progeny and its behavior. In the present work, female mice were exposed to a normal-protein or a low-protein diet during gestation and lactation. We analyzed behavioral and molecular consequences of malnutrition in dams and how it affects female offspring at weaning. We have observed that a low-protein diet during pregnancy and lactation leads to anxiety-like behavior and anhedonia in dams. Protein malnutrition during the perinatal period delays physical and neurological development of female pups. Glucocorticoid levels increased in the plasma of malnourished female offspring but not in dams when compared to the control group. Interestingly, the expression of glucocorticoid receptor (GR) was reduced in hippocampus and amygdala on both malnourished dams and female pups. In addition, malnourished pups exhibited a significant increase in the expression of Dnmt3b, Gadd45b, and Fkbp5 and a reduction in Bdnf VI variant mRNA in hippocampus. In contrast, a reduction on Dnmt3b has been observed on the amygdala of weaned mice. No changes have been observed on global methylation levels (5-methylcytosine) in hippocampal genomic DNA neither in dams nor female offspring. In conclusion, deregulated behaviors observed in malnourished dams might be mediated by a low expression of GR in brain regions associated with emotive behaviors. Additionally, low-protein diet differentially deregulates the expression of genes involved in DNA methylation/demethylation machinery in female offspring but not in dams, providing an insight into regional- and age-specific mechanisms due to protein malnutrition.

Pain and Coping Strategies as Determinants of Malnutrition Risk in Lung Cancer Patients: A Cross-Sectional Study.

Progressive cachexia and malnutrition severely impact the physical and mental condition of cancer patients. Pain is a prognostic factor for shorter survival in cancer patients, and coping strategies are crucial for adapting to treatment and dietary regimens. This study assessed pain levels, pain-related beliefs, and coping strategies as factors increasing malnutrition risk in 257 lung cancer patients. Sociodemographic and clinical data were collected from medical records. The Mini Nutritional Assessment (MNA), Visual Analog Scale (VAS), Beliefs about Pain Control Questionnaire (BPCQ), and Coping Strategies Questionnaire (CSQ) were used. Overall, 42.8% of patients were at risk of malnutrition, and 17.5% were malnourished. Nutritional status negatively correlated with CSQ domains: reinterpretation of pain (RP: rho = -0.194; p = 0.002), catastrophizing (CP: rho = -0.414; p = 0.001), ignoring pain (IP: rho = -0.198; p = 0.001), praying/hoping (PH: rho = -0.253; p < 0.001), and coping self-statements (CS: rho = -0.172; p = 0.006); and BPCQ domains: the power of doctors (PD: rho = -0.196; p = 0.002) and VAS (rho = -0.451; p < 0.001). Nutritional status positively correlated with CSQ domains: pain control (PC: rho = 0.499; p < 0.001) and the ability to reduce pain (AR: rho = 0.512; p < 0.001). In multivariate regression analysis, a better nutritional status was associated with a younger age (ß = -0.094; p < 0.001), non-small-cell lung cancer (NSCLC) (ß = 1.218; p = 0.037), a greater ability to reduce pain (CSQ-AR) (ß = 0.901; p < 0.001), lower catastrophizing (CSQ-CP) (ß = -0.165; p = 0.001), and lower pain perceived (VAS) (ß = 0.639; p < 0.001). Statistical analyses included Spearman's correlation and multivariate regression with a significance level of p < 0.05. Patients with a normal nutritional status had reduced doctor involvement in pain control, less frequent negative coping strategies, and more common positive coping strategies. A normal nutritional status correlates with lower perceived pain. A better nutritional status is linked to a younger age, NSCLC, lower pain levels, greater pain reduction ability, and lower scores in pain catastrophizing.

The Economic Burden of Severe Acute Malnutrition with Complications: A Cost Analysis for Inpatient Children Aged 6 to 59 Months in Northern Senegal.

Severe acute malnutrition (SAM) is a high-fatality condition that affected 13.7 million children under five years of age worldwide in 2022, with complicated cases requiring extensive inpatient stay with an accompanying caregiver. Our objective was to assess the costs of inpatient treatment for complicated SAM in children aged 6 to 59 months in Northern Senegal and identify cost predictors. We performed a retrospective cost analysis, including 140 children hospitalized from January to December 2020 in five SAM inpatient treatment facilities. We adopted a societal perspective, including direct medical and non-medical costs and indirect costs. We extracted patients' sociodemographic and clinical data from medical records and conducted semi-structured interviews with healthcare staff to capture information on time allocation and care management. A multivariable generalized linear model with gamma family and a log link was used to investigate the factors associated with direct costs. Costs are expressed in 2020 international USD using purchasing power parity. Mean length of stay was 5.3 (SD = 3.2) days and diarrhoea was the cause of the admission in 55.7% of cases. Mean total cost was USD 431.9 (SD = 203.9), with personnel being the largest cost item (33% of the total). Households' out-of-pocket expenses represented 45.3% of total costs and amounted to USD 195.6 (SD = 103.6). Costs were significantly associated with gender (20.3% lower in boys), diarrhoea (27% increase), anaemia (49.4% increase), inpatient death (44.9% decrease), and type of facility (26% higher in hospitals vs. health centre). Our study highlights the financial burden of complicated SAM in Senegal in particular for families. This underscores the need for tailored prevention and social policies to protect families from the disease's financial burden and improve treatment adherence, both in Senegal and similar contexts.

Malnutrition and Its Determinants among Older Adults Living in French Caribbean Nursing Homes: A Cross-Sectional Study.

BACKGROUND: This study aimed to assess the prevalence of malnutrition and its determinants in older adults living in French Caribbean nursing homes. METHODS: This cross-sectional study was taken from the KASEHAD (Karukera Study of Ageing in EHPAD) study. Nutritional status was assessed with the Mini Nutritional Assessment Short-Form (MNA-SF). Clinical characteristics and scores on geriatric scales (Mini-Mental State Examination (MMSE), Activities of Daily Living (ADL), Short Physical Performance Battery (SPPB), Center for Epidemiologic Studies-Depression (CESD) and Questionnaire Quality of Life Alzheimer's Disease (QoL-AD)) were extracted. Bivariate analysis and logistic models adjusted were performed to test the association between nutritional status and both socio-demographic variables and geriatric scales. RESULTS: A total of 332 older adults from six nursing homes were included in the KASEHPAD study. Among the participants, 319 had an MNA-SF score. The mean age was 81.3 ± 10.6 years, and half of the participants were men. The frequency of malnutrition (MNA-SF ≤ 7) was 27.6% (95% confidence interval (CI): 22.0-32.5) (n = 88). Based on the multivariable analysis, a low MMSE was associated with malnutrition (OR: 0.81 (0.68-0.92); p = 0.015) and there was a borderline significant link between a higher CESD score and malnutrition (OR: 1.05 (1.00-1.12); p = 0.07). CONCLUSIONS: Cognitive decline and a tendency toward depression were associated with malnutrition in nursing homes in the French West Indies. Although this study cannot establish causal relationships, the identification of these three geriatric syndromes in nursing homes is crucial for preventing adverse health events.

Malnutrition suppresses improvements in depression symptoms in older adult patients with stroke undergoing convalescent rehabilitation.

BACKGROUND & AIMS: Depression symptoms are both prevalent and associated with poor prognosis in patients with convalescent stroke. Therefore, the improvement of depression symptoms is important for patients with convalescent stroke. This study aimed to examine whether malnutrition diagnosed using the Global Leadership Initiative on Malnutrition (GLIM) criteria and its components are associated with improvements in depression symptoms in patients with stroke undergoing rehabilitation. METHODS: This was a retrospective cohort study of older adult patients with convalescent stroke. Inclusion criteria comprised patients aged ≥65 years experiencing their first occurrence of stroke and admitted for rehabilitation therapy. Patients were classified into either the malnutrition or normal nutrition groups based on the diagnosis of malnutrition using the GLIM criteria. The Geriatric Depression Screening Scale (GDS)-15 was used to evaluate depression symptoms. The primary outcome of the study was the change in depression symptoms, indicating a change in GDS score from admission to discharge. The association between malnutrition diagnosed using the GLIM criteria and change in depression symptoms was assessed using multiple regression analysis. Additionally, associations with the constructs of the GLIM criteria were investigated. RESULTS: The malnutrition group comprised 64 (45%) patients, with a mean age of 78.2 years; 77 (54%) and 66 (46%) were males and females, respectively. Multiple regression analysis showed that malnutrition, diagnosed using the GLIM criteria (ß: -0.306, p < 0.001), was independently associated with changes in depression symptoms. Moreover, the GLIM criterion component of reduced muscle mass (ß: -0.235, p < 0.001) demonstrated a negative association with a change in depression symptoms. CONCLUSION: Malnutrition and reduced muscle mass, diagnosed using the GLIM criteria in patients with stroke undergoing convalescent rehabilitation, were found to suppress the improvement of depression symptoms.

Managing blood glucose levels with a hybrid closed-loop system in a patient with type 1 diabetes mellitus on enteral nutrition: A case report.

The achievement of glycemic management is challenging in patients with diabetes on enteral nutrition, limited literature exists on hybrid closed-loop systems' efficacy in such a situation. We described the case of a patient with type 1 diabetes treated by advanced hybrid closed loop on enteral nutrition with satisfactory glycemic management.

Machine Learning Approach for Predicting the Impact of Food Insecurity on Nutrient Consumption and Malnutrition in Children Aged 6 Months to 5 Years.

BACKGROUND: Food insecurity significantly impacts children's health, affecting their development across cognitive, physical, and socio-emotional dimensions. This study explores the impact of food insecurity among children aged 6 months to 5 years, focusing on nutrient intake and its relationship with various forms of malnutrition. METHODS: Utilizing machine learning algorithms, this study analyzed data from 819 children in the West Bank to investigate sociodemographic and health factors associated with food insecurity and its effects on nutritional status. The average age of the children was 33 months, with 52% boys and 48% girls. RESULTS: The analysis revealed that 18.1% of children faced food insecurity, with household education, family income, locality, district, and age emerging as significant determinants. Children from food-insecure environments exhibited lower average weight, height, and mid-upper arm circumference compared to their food-secure counterparts, indicating a direct correlation between food insecurity and reduced nutritional and growth metrics. Moreover, the machine learning models observed vitamin B1 as a key indicator of all forms of malnutrition, alongside vitamin K1, vitamin A, and zinc. Specific nutrients like choline in the "underweight" category and carbohydrates in the "wasting" category were identified as unique nutritional priorities. CONCLUSION: This study provides insights into the differential risks for growth issues among children, offering valuable information for targeted interventions and policymaking.

Effects of early monocular enucleation on cortical spreading depression in well-nourished and malnourished adult rats.

Sensory development is a complex process that can influence physiological and pathological factors. In laterally-eyed mammals, monocular enucleation (ME) during development and the subsequent lack of external sensory stimuli can result in permanent morphological and physiological changes. Malnutrition, especially in early life, also can cause permanent morphofunctional changes due to inadequate nutrient intake in both hemispheres. This study investigated the effects of early (postnatal day 7) ME and malnutrition during the suckling period on cortical excitability in adulthood (110-140 days of life). For this, we compared the speed propagation of cortical spreading depression in the occipital and parietal cortex of malnourished and well-nourished adult rats, previously suckled small-sized litters with three pups (L3/dam) medium-sized litters with six pups (L6/dam), and large-sized litters with twelve pups (L12/dam). The CSD velocity was augmented by the ME in the contralateral side of the removed eye in the parietal and occipital cortex. These findings suggest that visual sensory input deprivation is associated with permanent functional changes in the visual pathways, which can alter cortical excitability and lead to modifications in CSD propagation.

Preoperative blood-based nutritional biomarkers as significant prognostic factors after intravesical BCG therapy in patients with non-muscle-invasive bladder cancer.

The aim of this study was to investigate the prognostic role of blood-based nutritional biomarkers, including red blood cell (RBC count), hemoglobin (Hb), total protein (TP), albumin, the serum albumin to globulin ratio (AGR) and the prognostic nutritional index (PNI) in patients who underwent intravesical treatment for non-muscle invasive bladder cancer (NMIBC). A total of 501 NMIBC patients who received intravesical Bacillus Calmette-Guerin (BCG) treatment following transurethral resection of bladder tumor (TURBT) were included. The optimal cutoff values for these nutrition-based indicators were determined using receiver operating characteristic curve analysis. We observed a significantly higher recurrence-free survival (RFS) rate in patients with elevated levels of RBC count, Hb, TP, and albumin. Cox univariate and multivariate Cox regression analyses demonstrated that serum albumin (P = 0.002, HR = 0.51, 95%CI: 0.33-0.78), RBC count (P = 0.002, HR = 0.50, 95%CI: 0.32-0.77), TP (P = 0.028, HR = 0.62, 95%CI: 0.41-0.95), Hb (P = 0.004, HR = 0.53, 95%CI: 0.33-0.84), AGR (P = 0.003, HR = 0.46, 95%CI: 0.27-0.76) and PNI (P = 0.019, HR = 0.56, 95%CI: 0.35-0.91) were significant independent factors predicting RFS. These cost-effective and convenient blood-based nutritional biomarkers have the potential to serve as valuable prognostic indicators for predicting recurrence in NMIBC patients undergoing BCG-immunotherapy.

Nutrition in HNSCC: is it a matter for oncologists? The role of multidisciplinary team-a narrative literature review.

Background: Malnutrition, defined as weight loss and unsatisfactory nutrient intake, is very common in patients with head and neck squamous cell carcinoma (HNSCC) in either the early or palliative setting. Despite increased awareness, nutritional programs are not yet adequately implemented in these patients. There are several reasons for this delay: differences in composition, the expertise of the multidisciplinary teams involved in HNSCC patients' treatment, and economic and network resources conditioning faster or slower nutritional supply delivery. This situation affects the outcomes and the quality of life of HNSCC patients. Materials and methods: We investigated available literature about nutritional support in HNSCC patients and its impact on outcomes, prognosis, and quality of life, and we focused on the role of the multidisciplinary team. We considered 8,491 articles, and after excluding duplicates and manuscripts not written in English, 1,055 were analyzed and 73 were deemed eligible for the present work. Results: After the literature review, we can state that malnutrition, sarcopenia, and cachexia are associated with systemic inflammation and closely correlated with poor outcomes. An evaluation of the nutritional status of the multidisciplinary team before, during, and after therapy could improve patient outcomes, as the goal of the therapeutic approach is widely designed. Conclusions: We suggest that the treatment workflow definition is fundamental and propose a tailored nutritional approach that could benefit HNSCC patients' outcomes and quality of life. These results could be achieved by a multidisciplinary team.

Prevalence and associated factors of maternal depression among mothers of children with undernutrition at comprehensive specialized hospitals in Northwest Ethiopia in 2023: a cross-sectional study.

Background: Malnutrition is one of the most significant child health problems in developing countries, accounting for an estimated 53% of child deaths per year. Depression is the leading cause of disease-related disability in women and adversely affects the health and well-being of mothers and their children. Studies have shown that maternal depression has an impact on infant growth and nutritional status. However, evidence is scarce regarding the relationship between maternal depression and child malnutrition. Objectives: The general objective of this study was to assess the prevalence and associated factors of maternal depression among mothers of undernourished children at comprehensive specialized hospitals in Northwest Ethiopia in 2023. Methods: An institution-based cross-sectional study was conducted among 465 participants. Outcome variables were assessed using a Patient Health Questionnaire-9 (PHQ-9). Data were analyzed using SPSS-25. Bivariate and multivariable logistic regression analyses were conducted. Variables with a p-value less than 0.05 were considered statistically significant with a corresponding 95% confidence interval (CI). Results: The prevalence of maternal depression among mothers of children with undernutrition was 36.4% (95% CI = 32%-41%). According to a multivariate analysis, lack of maternal education (adjusted odds ratio [AOR] = 2.872, 95% CI = 1.502-5.492), unemployment (AOR = 2.581, 95% CI = 1.497-4.451), poor social support (AOR = 2.209, 95% CI = 1.314-3.713), perceived stigma (AOR = 2.243, 95% CI = 1.414-3.560), and stunting (AOR = 1.913, 95% CI = 1.129-3.241) were factors significantly associated with maternal depression. Conclusion: The overall prevalence of maternal depression was higher among mothers of children with undernutrition. This higher prevalence was associated with several factors, including lack of education, unemployment, poor social support, high perceived stigma, and stunted physical growth in the children themselves. To decrease maternal depression, we can address these factors by increasing the level of maternal education and employment opportunities, strengthening social support systems, reducing stigma, and providing interventions to reduce stunting.

Prediction model of malnutrition in hospitalized patients with acute stroke.

OBJECTIVE: The prognosis of stroke patients is greatly threatened by malnutrition. However, there is no model to predict the risk of malnutrition in hospitalized stroke patients. This study developed a predictive model for identifying high-risk malnutrition in stroke patients. METHODS: Stroke patients from two tertiary hospitals were selected as the objects. Binary logistic regression was used to build the model. The model's performance was evaluated using various metrics including the receiver operating characteristic curve, Hosmer-Lemeshow test, sensitivity, specificity, Youden index, clinical decision curve, and risk stratification. RESULTS: A total of 319 stroke patients were included in the study. Among them, 27% experienced malnutrition while in the hospital. The prediction model included all independent variables, including dysphagia, pneumonia, enteral nutrition, Barthel Index, upper arm circumference, and calf circumference (all p < 0.05). The AUC area in the modeling group was 0.885, while in the verification group, it was 0.797. The prediction model produces greater net clinical benefit when the risk threshold probability is between 0% and 80%, as revealed by the clinical decision curve. All p values of the Hosmer test were > 0.05. The optimal cutoff value for the model was 0.269, with a sensitivity of 0.849 and a specificity of 0.804. After risk stratification, the MRS scores and malnutrition incidences increased significantly with escalating risk levels (p < 0.05) in both modeling and validation groups. CONCLUSIONS: This study developed a prediction model for malnutrition in stroke patients. It has been proven that the model has good differentiation and calibration.

Artificial Intelligence in Malnutrition: A Systematic Literature Review.

Malnutrition among the population of the world is a frequent yet underdiagnosed problem in both children and adults. Development of malnutrition screening and diagnostic tools for early detection of malnutrition is necessary to prevent long-term complications to patients' health and well-being. Most of these tools are based on predefined questionnaires and consensus guidelines. The use of artificial intelligence (AI) allows for automated tools to detect malnutrition in an earlier stage to prevent long-term consequences. In this study, a systematic literature review was carried out with the goal of providing detailed information on what patient groups, screening tools, machine learning algorithms, data types, and variables are being used, as well as the current limitations and implementation stage of these AI-based tools. The results showed that a staggering majority exceeding 90% of all AI models go unused in day-to-day clinical practice. Furthermore, supervised learning models seemed to be the most popular type of learning. Alongside this, disease-related malnutrition was the most common category of malnutrition found in the analysis of all primary studies. This research provides a resource for researchers to identify directions for their research on the use of AI in malnutrition.

Prevalence of malnutrition and impact on 30-day hospital readmission in adults receiving home care and ambulatory care: A descriptive cohort study.

BACKGROUND: Little is known about the prevalence of malnutrition among patients receiving home care (HC) and ambulatory care (AC) services. Further, the risk of hospital readmission in malnourished patients transitioning from hospital to HC or AC is also not well established. This study aims to address these two gaps. METHODS: A descriptive cohort study of newly referred HC and AC patients between January and December 2019 was conducted. Nutrition status was assessed by clinicians using the Mini Nutritional Assessment-Short Form (MNA-SF). Prevalence of malnutrition and at risk of malnutrition (ARM) was calculated, and a log-binomial regression model was used to estimate the relative risk of hospital readmission within 30 days of discharge for those who were malnourished and referred from hospital. RESULTS: A total of 3704 MNA-SFs were returned, of which 2402 (65%) had complete data. The estimated prevalence of malnutrition and ARM among newly referred HC and AC patients was 21% (95% CI: 19%-22%) and 55% (95% CI: 53%-57%), respectively. The estimated risk of hospital readmission for malnourished patients was 2.7 times higher (95% CI: 1.9%-3.9%) and for ARM patients was 1.9 times higher (95% CI: 1.4%-2.8%) than that of patients with normal nutrition status. CONCLUSION: The prevalence of malnutrition and ARM among HC and AC patients is high. Malnutrition and ARM are correlated with an increased risk of hospital readmission 30 days posthospital discharge.