Evaluation of Nutrition Risk Screening Score 2002 (NRS) assessment in hospitalized chronic kidney disease patient

Investigation of accordance between nutritional assessment tools, and bio-electrical impedance-derived phase angle, with the global leadership initiative on malnutrition criteria in hemodialysis patients

BACKGROUND

Malnutrition (MN) is a major health concern for patients with chronic kidney disease (CKD) who receive maintenance hemodialysis (MHD). These patients are particularly vulnerable to MN due to their compromised health status, which in turn increases the risk of morbidity and mortality. However, there is limited evidence on the use of reliable and effective tools for assessing MN in this population. This lack of sufficient data highlights the crucial need to assess MN within these patients, considering the significant mortality risk it poses. The first aim of this study was to compare the concurrent validity of three nutritional methods: the 7-point Subjective Global Assessment (7p-SGA), the Nutritional Risk Index (NRI), and the Nutritional Risk Screening from 2002 (NRS-2002) with the Global Leadership Initiative on Malnutrition (GLIM) criteria in MHD patients. The second aim was to investigate the advantage of the bio-electrical impedance-derived phase angle (PhA) in predicting MN.

METHODS

one hundred sixty-eight outpatients (31% women) with a mean age of 56.9 ± 14.7 years and a median dialysis vintage of 48 months were included in this retrospective study. Nutritional scores, anthropometric measurements, biological markers, and body composition parameters were collected.

RESULTS

According to GLIM standards, MN was identified in 80% of these patients. Using logistic regression (LR) analysis, all nutritional scores were significantly associated with GLIM criteria, with optimal sensitivity (94.4%) and specificity (85.7%) for 7p-SGA and NRI, respectively. For discriminating the nutritional risk, the GLIM criteria demonstrated a good agreement with 7p-SGA (Kappa concordance coefficient (κ) = 0.677, p-value<0.001) with a good level of accuracy (Area Under the Curve (AUC) = 0.841; 95% Confidence Interval (CI) = 0.705-0.977; p-value <0.001) when compared to the NRI and NRS-2002 (κ = 0.522, p-value<0.001 and κ = 0.411, p-value = 0.006, respectively). An excellent accuracy was found between PhA and the GLIM-defined MN, with an optimal cut-off value of 5.5° for males and 4.5° for females. The LR showed that arm circumference is the parameter that most influences the decrease of PhA (odds ratio 2.710, 95% CI = 1.597-4.597, p-value <0.001).

CONCLUSION

Based on the results of the present study, 7p-SGA is the most sensitive score in identifying MN diagnosed by GLIM criteria. Nonetheless, NRI exhibits greater specificity. PhA is a valuable marker for MN in MHD patients.

Enhancing nutrition screening in patients with kidney disease

Malnutrition is common in patients with kidney disease, and can exacerbate the individual and economic burden of the condition. The identification of malnutrition is essential to inform management interventions and improve patient outcomes, and nutrition screening can be considered the first stage in this process. The development of simple nutrition screening tools has assisted nurses in undertaking widespread, rapid assessments of patients' malnutrition risk. However, generic tools may not be appropriate or accurate in patients with kidney disease. This article explains some of the challenges of identifying malnutrition in this patient group and outlines some disease-specific tools that nurses can use to enhance nutrition screening.

Relationship between gut microbiota and nutritional status in patients on peritoneal dialysis

Malnutrition is a common complication in the dialysis population, both hemodialysis and peritoneal dialysis (PD). We report our exploratory study on the characteristics of intestinal microbiota and nutritional status in PD patients. The nutritional status of our PD patients were evaluated, and their feces were collected for 16S rRNA gene V3-V4 regions amplification and high-throughput sequencing. The characteristics and differences of microbiota between the well-nourished (W) and malnourished (M) groups were compared. We studied the genera and the operational taxonomic units (OTUs) within the genus of our patients, initially comparing the malnourished and the well- nourished groups and later on reanalyzing the whole group using these OTUs. At the OTU level, 6 bacteria were significantly correlated with the serum albumin level. The abundances of 2 OTUs (OTU208 Lachnospiraceae_incertae_sedi and OTU4 Bacteroides) were more in W group. Meanwhile, 4 OTUs (OTU225 Akkermansia, OTU87 Megasphaera, OTU31 Peptostreptococcaceae_incertae_sedi and OTU168 Clostridium_sensu_strictu) displayed higher abundance among individuals in M group. Notably, the OTU168 Clostridium_sensu_stricto was the only bacteria that significantly correlated with serum albumin (r = - 0.356, P = 0.05), pre-albumin (r = - 0.399, P = 0.02), and SGA (r = 0.458, P = 0.01). The higher the OTU168 Clostridium_sensu_strictu, the lower serum albumin and pre-albumin and a higher score of SGA signifying a worse nutritional status. Our preliminary findings suggested a relationship between the nutrition status and microbiota in PD patients. Our results provide a basis for further exploration of the interactions between malnutrition and intestinal flora in PD patients with potential interventions using probiotics and prebiotics.

Analysis of malnutrition factors for inpatients with chronic kidney disease

Objective

Malnutrition is a common complication of Chronic Kidney Disease (CKD), and it is the risk factor of CKD prognosis. This study aim to evaluate the nutritional status of inpatients with CKD by using the Subjective Global Assessment (SGA), and to analyze the related factors of malnutrition; and to provide effective reference for early detection of malnutrition status in patients with CKD and timely nutrition intervention.

Methods

A total of 426 patients (238 male patients, 188 female patients) aged 62.62 ± 14.61 and 61.14 ± 14.82, respectively admitted to the Nephrology Department of Wannan Medical College from February 2020 to December 2020 were selected and included in to this study by convenience sampling. 426 patients with CKD were evaluated by SGA. Human body weight, hemoglobin (Hb), total protein (TP), albumin (ALB), pre-albumin (PA), qualitative analysis of urinary protein and other laboratory indexes were collected and measured. The correlation between malnutrition and age, education, gender, diet, CKD stage and other factors was analyzed by spearman correlation analysis.

Results

The incidence of malnutrition was 85.7% among 426 patients with CKD. Gender, age, education level, CKD stage, diabetes mellitus, weight loss and reduced food intake were related to SGA nutritional assessment (P < 0.05). The expression levels of ALB, PA and Hb in the malnutrition group were significantly lower than those in the normal group (P < 0.05). The degree of malnutrition in CKD patients was significant negatively correlated with the expression levels of ALB (r = -0.188), PA (r = -0.262) and Hb (r = -0.176) (P < 0.05). The multivariate Logistic regression analysis model showed that female (OR = 2.155), ≥60 years old (OR = 7.671), weight loss (OR = 10.691), reduced food intake (OR = 28.953), moderate and severe serum ALB expression (OR = 3.391 and 8.326) were risk factors for malnutrition in patients with CKD (P < 0.05). Malnutrition was correlated with the results of qualitative examination of urinary protein (r = 0.268, P < 0.05).

Conclusion

Gender, age, weight loss, reduced food intake, serum ALB expression were independently associated with malnutrition in patients with chronic kidney disease, Hence, the medical staff should take timely and effective nutrition intervention for the patients with malnutrition, delay the renal function damage of patients with CKD and improve the quality of life of patients. Inpatients with CKD, especially women, should increase their dietary intake, maintain normal weight and improve their nutritional status.

Association of Different Malnutrition Parameters and Clinical Outcomes among COVID-19 Patients: An Observational Study

Background: Malnutrition is highly prevalent in medical inpatients and may also negatively influence clinical outcomes of patients hospitalized with COVID-19. We analyzed the prognostic implication of different malnutrition parameters with respect to adverse clinical outcomes in patients hospitalized with COVID-19. Methods: In this observational study, consecutively hospitalized adult patients with confirmed COVID-19 at the Cantonal Hospital Aarau (Switzerland) were included between February and December 2020. The association between Nutritional Risk Screening 2002 (NRS 2002) on admission, body mass index, and admission albumin levels with in-hospital mortality and secondary endpoints was studied by using multivariable regression analyses. Results: Our analysis included 305 patients (median age of 66 years, 66.6% male) with a median NRS 2002-score of 2.0 (IQR 1.0, 3.0) points. Overall, 44 patients (14.4%) died during hospitalization. A step-wise increase in mortality risk with a higher nutritional risk was observed. When compared to patients with no risk for malnutrition (NRS 2002 < 3 points), patients with a moderate (NRS 2002 3−4 points) or high risk for malnutrition (NRS 2002 ≥ 5 points) had a two-fold and five-fold increase in risk, respectively (10.5% vs. 22.7% vs. 50.0%, p < 0.001). The increased risk for mortality was also confirmed in a regression analysis adjusted for gender, age, and comorbidities (odds ratio for high risk for malnutrition 4.68, 95% CI 1.18 to 18.64, p = 0.029 compared to patients with no risk for malnutrition). Conclusions: In patients with COVID-19, the risk for malnutrition was a risk factor for in-hospital mortality. Future studies should investigate the role of nutritional treatment in this patient population.

Secondary immunodeficiencies: An overview

OBJECTIVE

To review the different causes of secondary immunodeficiencies and provide clinicians with an updated overview of potential factors that contribute to immunodeficiency.

DATA SOURCES

Recent published literature obtained through PubMed database searches, including research articles, review articles, and case reports.

STUDY SELECTIONS

PubMed database searches were conducted using the following keywords: immunodeficiency, antibody deficiency, immunosuppressive drugs, genetic syndrome, malignancy, HIV infection, viral infection, secondary immunodeficiency, nutrition, prematurity, aging, protein-losing enteropathy, nephropathy, trauma, space travel, high altitude, and ultraviolet light. Studies published in the last decade and relevant to the pathogenesis, epidemiology, and clinical characteristics of secondary immunodeficiencies were selected and reviewed.

RESULTS

Researchers continue to investigate and report abnormal immune parameters in the different entities collectively known as secondary immunodeficiencies. Immunodeficiency might occur as a consequence of malnutrition, metabolic disorders, use of immunosuppressive medications, chronic infections, malignancies, severe injuries, and exposure to adverse environmental conditions. The neonate and the elderly may have decreased immune responses relative to healthy adults. Each of these conditions may present with different immune defects of variable severity. The acquired immunodeficiency syndrome results from infections by the human immunodeficiency virus, which targets CD4 T cells leading to defective immune responses. Rituximab is a monoclonal antibody that targets CD20 B cells, and its use might result in persistent hypogammaglobulinemia.

CONCLUSION

Clinicians should consider secondary immunodeficiencies in the differential diagnosis of a patient with recurrent infections and abnormal immunologic evaluation. The use of biological agents for the treatment of inflammatory conditions and malignancies is an increasingly important cause of secondary immunodeficiency.

Nutritional risk is a predictor for long-term mortality: 5-Year follow-up of the EFFORT trial

BACKGROUND AND AIMS

The nutritional risk screening (NRS 2002) is a validated screening tool for malnutrition. This study aims to investigate the prognostic value of the NRS 2002 and its individual components regarding long-term mortality and adverse outcomes in a well-characterized cohort of medical inpatients.

METHODS

We performed a 5-year follow-up investigation of patients included in the investigator-initiated, prospective, randomized controlled multicenter EFFORT trial that evaluated the effects of individualized nutritional intervention vs. standard hospital food. We used multivariable cox regression analyses adjusted for randomisation arm, study centre, comorbidities and main admission diagnosis to investigate associations between NRS 2002 total scores at time of hospital admission and several long-term outcomes.

RESULTS

We had confirmed mortality data over the mean follow-up time of 3.2 years in 1874 from the initial cohort of 2028 EFFORT patients. Mortality showed a step-wise increase in patients with NRS 3 (289/565 [51.2%]) and NRS 4 (355/717 [49.6%]) to 59.5% (353/593) in patient with NRS≥5 corresponding to an adjusted Hazard Ratio (HR) of 1.28 (95%CI 1.15 to 1.42, p ≤ 0.001) for mortality after one year and 1.13 (95%CI 1.05 to 1.23, p = 0.002) for the overall time period. All individual components of NRS including disease severity, food intake, weight loss and BMI provided prognostic information regarding long-term mortality risk.

CONCLUSION

Nutritional risk mirrored by a NRS 2002 total score is a strong and independent predictor of long-term mortality and morbidity in polymorbid medical inpatients particularly in patients with high nutritional risk with an NRS ≥5 points.

ESPEN guideline on clinical nutrition in hospitalized patients with acute or chronic kidney disease

Acute kidney disease (AKD) - which includes acute kidney injury (AKI) - and chronic kidney disease (CKD) are highly prevalent among hospitalized patients, including those in nephrology and medicine wards, surgical wards, and intensive care units (ICU), and they have important metabolic and nutritional consequences. Moreover, in case kidney replacement therapy (KRT) is started, whatever is the modality used, the possible impact on nutritional profiles, substrate balance, and nutritional treatment processes cannot be neglected. The present guideline is aimed at providing evidence-based recommendations for clinical nutrition in hospitalized patients with AKD and CKD. Due to the significant heterogeneity of this patient population as well as the paucity of high-quality evidence data, the present guideline is to be intended as a basic framework of both evidence and - in most cases - expert opinions, aggregated in a structured consensus process, in order to update the two previous ESPEN Guidelines on Enteral (2006) and Parenteral (2009) Nutrition in Adult Renal Failure. Nutritional care for patients with stable CKD (i.e., controlled protein content diets/low protein diets with or without amino acid/ketoanalogue integration in outpatients up to CKD stages four and five), nutrition in kidney transplantation, and pediatric kidney disease will not be addressed in the present guideline.

Nutritional risk screening (NRS 2002) is a strong and modifiable predictor risk score for short-term and long-term clinical outcomes: secondary analysis of a prospective randomised trial

INTRODUCTION

The Nutritional Risk Screening 2002 (NRS 2002) identifies patients at risk of malnutrition. We studied the prognostic implications of this score with regard to short-term and long-term clinical outcomes in a well-characterised cohort of medical inpatients from a previous trial.

METHODS

This is a secondary analysis of an investigator-initiated, prospective randomised controlled multicenter trial in Switzerland (EFFORT) that compared the effects of an individualised nutritional support intervention with standard of care. We investigated associations between admission NRS and several short-term and long-term outcomes using multivariable regression analyses.

RESULTS

Of the 2028 patients, 31% had an NRS of 3, 38% of 4 and 31% of ≥5 points, and 477 (24%) died during the 180 days of follow-up. For each point increase in NRS, we found a stepwise increase in risk of 30-day mortality (adjusted Hazard Ratio (HR) 1.22 (95% CI 1.00 to 1.48), p = 0.048) and 180-day mortality (adjusted HR 1.37 (95% CI 1.22 to 1.55), p < 0.001). NRS was associated with length of hospital stay (adjusted difference of 0.60 days per NRS point increase, 95%CI 0.23 to 0.97, p = 0.002) and functional outcomes at 180 days (adjusted decrease in Barthel index of -4.49 points per NRS point increase, 95%CI -6.54 to -2.45, p < 0.001). In a subgroup analysis, associations of NRS and short-term adverse outcomes were less pronounced in patients receiving nutritional support (intervention group) compared to control group patients (adjusted HR for 30-day mortality 1.12 [95%CI 0.83 to 1.52, p = 0.454] vs. 1.33 [95%CI 1.02 to 1.72, p = 0.032]).

CONCLUSION

The NRS is a strong and independent risk score for malnutrition-associated mortality and adverse outcomes over 180 days. Our data provide strong evidence that the nutritional risk, however, is modifiable and can be reduced by the provision of adequate nutritional support.