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Background and Aims: Malnutrition is associated with poor clinical outcomes. Whether there is a causal relationship or it merely mirrors a severe patient condition remains unclear. We examined the association of malnutrition with biomarkers characteristic of different pathophysiological states to better understand the underlying etiological mechanisms. Methods: We prospectively followed consecutive adult medical inpatients. Multivariable regression models were used to investigate the associations between malnutrition - as assessed using the Nutritional Risk Screening (NRS 2002) - and biomarkers linked to inflammation, stress, renal dysfunction, nutritional status and hematologic function. Results: A total of 529 patients were included. In a fully adjusted model, malnutrition was significantly associated with the inflammatory markers procalcitonin (0.20, 95% CI 0.03-0.37), proadrenomedullin (0.28, 95% CI 0.12-0.43) and albumin (-0.39, 95% CI -0.57 to -0.21), the stress marker copeptin (0.34, 95% CI 0.17-0.51), the renal function marker urea (0.23, 95% CI 0.07-0.38), the nutritional markers vitamin D25 (-0.22, 95% CI -0.41 to -0.02) and corrected calcium (0.29, 95% CI 0.10-0.49) and the hematological markers hemoglobin (-0.27, 95% CI -0.43 to -0.10) and red blood cell distribution width (0.26, 95% CI 0.07-0.44). Subgroup analysis suggested that acute malnutrition rather than chronic malnutrition was associated with elevated biomarker levels. Conclusion: Acute malnutrition was associated with a pronounced inflammatory response and an alteration in biomarkers associated with different pathophysiological states. Interventional trials are needed to prove causality.

Background Despite consistent efforts to enhance child nutrition, poor nutritional status of children continues to be a major public health problem in Nepal. This study identified the predictors of severe acute malnutrition (SAM) among children aged 6 to 59 months in the two districts of Nepal. Methods We used data from a cross-sectional study conducted among 6 to 59 months children admitted to the Outpatient Therapeutic Care Centers (OTCC). The nutritional status of children was assessed using mid-upper arm circumference (MUAC) measurement. To determine which variables predict the occurrence of SAM, adjusted odds ratio was computed using multivariate logistic regression and p -value < 0.05 was considered as significant. Results Out of 398 children, 5.8% were severely malnourished and the higher percentage of female children were malnourished. Multivariate analysis showed that severe acute malnutrition was significantly associated with family size (five or more members) (Adjusted Odds Ratio [AOR]: 3.96; 95% Confidence Interval [CI]: 1.23–12.71). Children from severely food insecure households (AOR: 4.04; 95% CI: 1.88–10.53) were four times more likely to be severely malnourished. Higher odds of SAM were found among younger age-group (AOR: 12.10; 95% CI: 2.06–71.09) children (0–12 vs. 24–59 months). Conclusions The findings of this study indicated that household size, household food access, and the child’s age were the major predictors of severe acute malnutrition. Engaging poor families in kitchen gardening to ensure household food access and nutritious diet to the children, along with health education and promotion to the mothers of young children are therefore recommended to reduce child undernutrition.

Background: The malnutrition–inflammation score (MIS) is a practical and accessible tool for evaluating protein energy wasting (PEW) in patients on dialysis. However, the severity of PEW at each stage of chronic kidney disease (CKD), especially with late dialysis initiation, is unclear. Methods: We evaluated the MIS of 3659 patients with CKD stages 1–5 and the changes in their MIS results at baseline and at the time before dialysis initiation. Patients were defined to have PEW if they had a subjective global assessment (SGA) rating of C or lower. Results: The MIS increased substantially over a follow-up period of 6.12 years for 1124 patients just starting dialysis, with 49.3% having an MIS of 8. The pre-dialysis MIS was associated with baseline MIS, age, cardiovascular disease, and cancer. The prevalence of PEW based on an SGA rating of C or lower increased from 10.5% at baseline to 61.2% immediately before dialysis. The prevalence of PEW based on an MIS of ≥8 increased from 28.5% at baseline to 49.3% immediately before dialysis. In CKD stage 5 patients, 29.4% had PEW based on an MIS of 8 or less, and 11.6% had an SGA rating of C. The MIS was revealed to be associated with renal function, nutritional markers, and cardiometabolic disease (diabetes or cardiovascular disease). Conclusions: In conclusion, the MIS increased as CKD progressed to stages 4 and 5, as well as just prior to dialysis. Our study identified patients who required PEW assessment on the basis of their MIS results.

Identifying nutritional deficits and implementing appropriate interventions in patients requiring vascular surgery is challenging due to the paucity of appropriate screening and assessment tools in this group. This retrospective study aimed to determine the validity of the Global Leadership Initiative on Malnutrition (GLIM) in identifying protein–energy malnutrition (PEM) in inpatients admitted to a vascular surgery unit, using the PG-SGA as the comparator. Diagnostic accuracy and consistency were determined between the GLIM and the Patient-Generated Subjective Global Assessment (PG-SGA) global rating. The GLIM determination was made retrospectively using the relevant parameters collected at baseline in the original study. Two hundred and twenty-four (70·1 % male) participants were included. The prevalence of PEM was 28·6 % on GLIM and 17 % via the PG-SGA. Compared with the PG-SGA, the GLIM achieved sensitivity of 73·7 % and specificity of 80·6 %; however positive predictive value was 43·7 % indicating that the GLIM over-diagnosed malnutrition compared with the PG-SGA. Kappa reached 0·427 indicating moderate diagnostic consistency. Due to the absence of an ideal instrument and the complexity of malnutrition often seen in this group which extends beyond PEM to significant micronutrient deficiencies, further work is required to determine the most appropriate instrument in this patient group, and how micronutrient status can also be included in the overall assessment given the critical role of micronutrients in this group.

Backgrounds/objectives:Malnutrition is very common in acute hip fracture (HF) patients. Studies differ widely in their findings, with reported prevalences between 31 and 88% mainly because of small sample sizes and the use of different criteria. The aim of this study was to learn the prevalence of malnutrition in a large cohort of HF patients in an comprehensive way that includes the frequency of protein-energy malnutrition, vitamin D deficiency and sarcopenia.Subjects/methods:A 1-year consecutive sample of patients admitted with fragility HF in a 1300-bed public University Hospital, who were assessed within the first 72 h of admission. Clinical, functional, cognitive and laboratory variables were included. Energy malnutrition (body mass index (BMI) <22 kg/m2 ), protein malnutrition (serum total protein <6.5 g/dl or albumin <3.5 g/dl), vitamin D deficiency (serum 25-OH-vitamin D <30 ng/dl) and sarcopenia (low muscle mass plus low grip strength) were considered.Results:Five hundred nine HF patients were included. The mean age was 85.6±6.9 years and 79.2% were women. Ninety-nine (20.1%) patients had a BMI <22 kg/m2 . Four hundred nine patients (81.2%) had protein malnutrition. Eighty-seven (17.1%) patients had both energy and protein malnutrition. Serum vitamin D was <30 ng/ml in 466 (93%) patients. The prevalence of sarcopenia was 17.1%.Conclusions:Protein malnutrition and vitamin D deficiency are the rule in acute HF patients. Energy malnutrition and sarcopenia are also common. A nutritional assessment in these patients should include these aspects together.

We investigated the missed treatment opportunities affecting programmes using mid-upper arm circumference (MUAC) as the sole anthropometric criterion for identification and monitoring of children suffering from severe acute malnutrition (SAM). Alongside MUAC, we assessed weight-for-height -score (WHZ) in children screened and treated according to the national MUAC only protocol in Pakistan. Besides, we collected parents' perceptions regarding the treatment received by their children through qualitative interviews. Data were collected from October to December 2021 in Tando Allah Yar District, Sindh. All children screened in the health facilities ( 8818) and all those discharged as recovered ( 686), throughout the district, contributed to the study. All children screened in the community in the catchment areas of five selected health facilities also contributed ( 8459). Parents of forty-one children randomly selected from these same facilities participated in the interviews. Overall, 80·3 % of the SAM cases identified during community screening and 64·1 % of those identified in the health facilities presented a 'WHZ-only' diagnosis. These figures reached 93·9 % and 84·5 %, respectively, in children aged over 24 months. Among children treated for SAM and discharged as recovered, 25·3 % were still severely wasted according to WHZ. While parents positively appraised the treatment received by their children, they also recommended to extend eligibility to other malnourished children in their neighbourhood. In this context, using MUAC as the sole anthropometric criterion for treatment decisions (referral, admission and discharge) resulted in a large number of missed opportunities for children in need of timely and adequate care.

This study investigated how specific nutrition interventions were implemented at four US hospitals, compared rates of malnutrition diagnosis and assessment between physicians and registered dietitian nutritionists (RDNs), and examined how these differences affected the nutrition intervention received during patients’ hospital stay. Data on patients’ nutrition status and nutrition interventions were collected from 16 669 hospital inpatient records. Data on intervention utilization for patients with differing nutrition assessments and diagnoses from different health care practitioners were compared using descriptive statistics and χ2 tests. The study found high levels of agreement between physician diagnosis and RDN assessment of malnutrition (88%). Much of this agreement related to patients identified as not malnourished. Of patients identified as malnourished by either physician diagnosis or RDN assessment, agreement was reached in 55.5% of patients. Less than half (46.3%) of patients identified as malnourished had a documented nutrition intervention. Oral nutritional supplements (ONS) were the most commonly used intervention, with 5.1% of patients receiving them. Patients identified as malnourished by physician diagnosis, but not by RDN assessment, were more likely to receive enteral and parenteral nutrition. Patients identified as malnourished by RDN assessment, but not by physician diagnosis, were more likely to have received ONS, meals and snacks, counseling, and food/nutrition-related medication management. The high level of agreement on assessment and malnutrition diagnosis suggests positive levels of malnutrition care coordination at the study hospitals. However, significant room for improvement exists in providing interventions to inpatients diagnosed with malnourishment. Differences in interventions may reflect dissimilar approaches commonly used by different practitioners and should be a topic of future study. •A high level of agreement existed between physician diagnosis and registered dietitian nutritionist assessment of patients who were not identified as malnourished.•A lower level of agreement existed between physician diagnosis and registered dietitian nutritionist assessment of patients who may have been malnourished.•Fewer than half of patients identified as malnourished had a documented nutrition intervention.•Types of nutrition interventions provided to patients differed substantially between practitioners (physicians versus registered dietitian nutritionists).

Since 2009, Médecins Sans Frontières has implemented a community management of acute malnutrition (CMAM) programme in rural Biraul block, Bihar State, India that has admitted over 10 000 severely malnourished children but has struggled with poor coverage and default rates. With the aim of improving programme outcomes we undertook a qualitative study to understand community perceptions of childhood undernutrition, the CMAM programme and how these affected health-seeking behaviour. Semi-structured and narrative interviews were undertaken with families of severely malnourished children, non-undernourished children and traditional and allopathic health-care workers. Analysis of transcripts was by qualitative content analysis. Biraul, Bihar State, India, 2010. One hundred and fifty people were interviewed in individual or group discussions during fifty-eight interviews. Undernutrition was not viewed as a disease; instead, local disease concepts were identified that described the clinical spectrum of undernutrition. These concepts informed perception, so caregivers were unlikely to consult health workers if children were 'only skinny'. Hindu and Muslim priests and other traditional health practitioners were more regularly consulted and perceived as easier to access than allopathic health facilities. Senior family members and village elders had significant influence on the health-seeking behaviour of parents of severely malnourished children. The results reaffirm how health education and CMAM programmes should encompass local disease concepts, beliefs and motivations to improve awareness that undernutrition is a disease and one that can be treated. CMAM is well accepted by the community; however, programmes must do better to engage communities, including traditional healers, to enable development of a holistic approach within existing social structures.

This study aimed to develop and validate protein energy malnutrition (PEM) screening tool for older adults in public residential homes, and to test its practicality. This cross-sectional study consisted of two phases: tool development/validation and tool practicality evaluation. In Phase 1, the questionnaire was developed based on literature review and tested for content validity. Older residents were interviewed using this questionnaire to identify potential PEM risk factors. A 24-h recall was used to collect dietary data, and body composition and serum albumin were measured. In Phase 2, practicality of new PEM screening tool was evaluated by intended users. Data were analysed by χ2 test, Fisher's exact test, t-test, Mann-Whitney U test and multiple logistic regression. Akaike Information Criterion (AIC) was used to estimate the best fit model. Four public residential homes in central region, Thailand. 249 older residents residing in public residential homes and eight intended users. 26·9 % had PEM (serum albumin <3·5 g/dl). According to multiple logistic regression and AIC values, PEM predictors were having pressure ulcer, experiencing significant weight loss and taking ≥ 9 types of medicine daily. These predictors were included in PEM screening tool. Regarding the tool performance test, area under the ROC curve was 0·8 (P < 0·001) with sensitivity and specificity of 83·9 and 45·5 %, respectively. For its practicality, eight intended users reported that it was useful and easy to use. New screening tool may be capable of identifying PEM in older residents, and further testing is required before being recommended for use.