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

Malnutrition as a prognostic factor for 2-year mortality in hospitalized patients in Norway: A matched cohort study

BACKGROUND

Risk of malnutrition and malnutrition have been previously associated with increased risk of mortality. It remains unclear, however, whether the severity of malnutrition differentiates in association with all-cause mortality. The aim was to assess the association between being at risk of malnutrition or being diagnosed with malnutrition according to the diagnostic assessment of the Global Leadership Initiative on Malnutrition (GLIM) with all-cause mortality during a 2-year follow-up in hospitalized patients.

METHODS

A matched cohort study was conducted in hospitalized patients (excluding cancer, intensive care, and transmissible infections) at a university hospital in Bergen, Norway. All patients underwent nutrition screening with the Nutritional Risk Screening 2002 and a further nutrition assessment using the GLIM criteria. All-cause mortality was estimated from the Norwegian death registry after 2 years, and risk factors were calculated by Cox regression analysis.

RESULTS

Among 326 patients included, 55 patients died within 2 years (17% mortality rate). Risk of malnutrition was associated with increased all-cause mortality, which disappeared after adjustment for age and sex. Malnutrition was associated with an increased risk of all-cause mortality at 2 years also after adjustment for age and sex and, additionally, for further comorbidities (hazard ratio = 2.50; 95% CI, 1.41-4.42). When analyzed separately only severe malnutrition was associated with mortality (hazard ratio = 2.73; 95% CI, 1.44-5.15).

CONCLUSION

The findings highlight a strong association between inpatients with severe malnutrition, defined by the GLIM criteria, and an increased risk of all-cause mortality within a 2-year follow-up.

Red blood cell distribution width (RDW) - A new nutritional biomarker to assess nutritional risk and response to nutritional therapy?

BACKGROUND & AIMS

Red cell distribution width (RDW) has been proposed as a surrogate marker for acute and chronic diseases and may be influenced by nutritional deficits. We assessed the prognostic value of RDW regarding clinical outcomes and nutritional treatment response among medical inpatients at nutritional risk.

METHODS

This is a secondary analysis of EFFORT, a randomized, controlled, prospective, multicenter trial investigating the effects of nutritional support in patients at nutritional risk in eight Swiss hospitals. We examined the association between RDW and mortality in regression analysis.

RESULTS

Among 1,244 included patients (median age 75 years, 46.6 % female), high RDW (≥15 %) levels were found in 38 % of patients (n = 473) with a significant association of higher malnutrition risk [OR 1.48 (95%CI 1.1 to 1.98); p = 0.009]. Patients with high RDW had a more than doubling in short-term (30 days) mortality risk [adjusted HR 2.12 (95%CI 1.44 to 3.12); p < 0.001] and a signficant increase in long-term (5 years) mortality risk [adjusted HR 1.73 (95%CI 1.49 to 2.01); p < 0.001]. Among patients with high RDW, nutritional support reduced morality within 30 days [adjusted OR 0.56 (95%CI 0.33 to 0.96); p = 0.035], while the effect of the nutritional intervention in patients with low RDW was markedly smaller.

CONCLUSIONS

Among medical patients at nutritional risk, RDW correlated with several nutritional parameters and was a strong prognostic marker for adverse clinical outcomes at short- and long-term, respectively. Patients with high baseline RDW levels also showed a strong benefit from the nutritional intervention. Further research is needed to understand whether monitoring of RDW over time severs as a nutritional biomarker to assess effectiveness of nutritional treatment in the long run.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02517476.

Pre-Operative Malnutrition in Patients with Ovarian Cancer: What Are the Clinical Implications? Results of a Prospective Study

BACKGROUND

Malnutrition was associated with worse survival outcomes, impaired quality of life, and deteriorated performance status across various cancer types. We aimed to identify risk factors for malnutrition in patients with epithelial ovarian cancer (EOC) and impact on survival.

METHODS

In our prospective observational monocentric study, we included the patients with primary and recurrent EOC, tubal or peritoneal cancer conducted. We assessed serum laboratory parameters, body mass index, nutritional risk index, nutritional risk screening score (NRS-2002), and bio-electrical impedance analysis.

RESULTS

We recruited a total of 152 patients. Patients > 65 years-old, with ascites of >500 mL, or with platinum-resistant EOC showed statistically significant increased risk of malnutrition when evaluated using NRS-2002 (p-values= 0.014, 0.001, and 0.007, respectively). NRS-2002 < 3 was an independent predictive factor for complete tumor resectability (p = 0.009). The patients with NRS-2002 ≥ 3 had a median overall survival (OS) of seven months (95% CI = 0-24 months), as compared to the patients with NRS-2002 < 3, where median OS was forty-six months (p = 0.001). A phase angle (PhAα) ≤ 4.5 was the strongest predictor of OS.

CONCLUSIONS

In our study, we found malnutrition to be an independent predictor of incomplete cytoreduction and independent prognostic factor for poor OS. Preoperative nutritional assessment is an effective tool in the identification of high-risk EOC groups characterized by poor clinical outcome.

Nutritional Status and Incidence of Radiation-Induced Oral Mucositis in Nasopharyngeal Carcinoma Patients Treated with Chemoradiotherapy

Malnutrition is prevalent among patients with nasopharyngeal carcinoma undergoing radiotherapy. This study examined the nutritional status and incidence of radiation-induced oral mucositis (RIOM) in patients with nasopharyngeal carcinoma. A retrospective analysis was conducted to compare the incidence of RIOM, Nutritional Risk Screening (NRS) 2002 score, weight, body mass index (BMI), and hemoglobin levels in 338 patients treated with induction chemotherapy (IC) plus concurrent chemoradiotherapy (CCRT) or treated with CCRT alone. The IC + CCRT group exhibited an increase in weight and BMI but a decrease in hemoglobin levels after IC compared with baseline (p < 0.001). Both groups showed differences in weight at Week 0 and BMI at Weeks 0-2 of radiotherapy (p < 0.05). The IC + CCRT group experienced an increase in NRS 2002 scores from Week 2 to Week 6 (p < 0.05). The hemoglobin levels of the IC + CCRT group were consistently lower throughout radiotherapy (p < 0.001). However, no significant difference was observed in the incidence of RIOM between the two groups (p = 0.246). Patients treated with IC + CCRT exhibited a higher nutritional risk during radiotherapy. Although the incidence of Grade III RIOM was high, no significant difference was found between the groups.

Association of nutritional status and comorbidity with long-term survival among community-dwelling older males

BACKGROUND

Estimates of survival in the older can be of benefit in various facets, particularly in medical and individual decision-making. We aim to validate the value of a combination of nutrition status evaluation and comorbidity assessment in predicting long-term survival among community-dwelling older.

METHODS

The Charlson Comorbidity Index (CCI) was applied for comprehensive evaluation of comorbidities. Participants were classified into CCI score ≤ 2 and ≥ 3 subgroups. Nutritional status was assessed by using Mini Nutritional Assessment-Short Form (MNA-SF) and Geriatric Nutritional Risk Index (GNRI) evaluations. Mortality rates and survival curves over a 5-year period were compared among subgroups classified by CCI and/or MNA-SF/GNRI evaluations.

RESULTS

A total of 1033 elderly male participants were enrolled in this study, with an average age of 79.44 ± 8.61 years. 108 deceased participants (10.5%) were identified during a follow-up of 5 years. Cox proportional hazards regression analysis showed that age, CCI, MNA-SF and GNRI were independent predictors of 5-year all-cause death in this cohort. Compared to those with normal nutrition status and CCI ≤ 2, the subgroup at risk of malnutrition and CCI ≥ 3 had a significantly higher 5-year all-cause mortality rate (HR = 4.671; 95% CI:2.613-8.351 for MNA-SF and HR = 7.268; 95% CI:3.401-15.530 for GNRI; P < 0.001 for both). Receiver operating characteristic curve analysis demonstrated that a combination of either MNA-SF or GNRI with CCI had significantly better performance than CCI, MNA-SF or GNRI alone in predicting all-cause death.

CONCLUSION

The combination of nutritional assessment (MNA-SF or GNRI) with CCI can significantly improve the predictive accuracy of long-term mortality outcomes among community-dwelling older males.

Changes in serum albumin concentrations over 7 days in medical inpatients with and without nutritional support. A secondary post-hoc analysis of a randomized clinical trial

BACKGROUND

Serum albumin concentrations are frequently used to monitor nutritional therapy in the hospital setting but supporting studies are largely lacking. Within this secondary analysis of a randomized nutritional trial (EFFORT), we assessed whether nutritional support affects short-term changes in serum albumin concentrations and whether an increase in albumin concentration has prognostic implications regarding clinical outcome and response to treatment.

METHODS

We analyzed patients with available serum albumin concentrations at baseline and day 7 included in EFFORT, a Swiss-wide multicenter randomized clinical trial that compared individualized nutritional therapy with usual hospital food (control group).

RESULTS

Albumin concentrations increased in 320 of 763 (41.9%) included patients (mean age 73.3 years (SD ± 12.9), 53.6% males) with no difference between patients receiving nutritional support and controls. Compared with patients that showed a decrease in albumin concentrations over 7 days, those with an increase had a lower 180-day mortality [74/320 (23.1%) vs. 158/443 (35.7%); adjusted odds ratio 0.63, 95% CI 0.44 to 0.90; p = 0.012] and a shorter length of hospital stay [11.2 ± 7.3 vs. 8.8 ± 5.6 days, adjusted difference -2.2 days (95%CI -3.1 to -1.2)]. Patients with and without a decrease over 7 days had a similar response to nutritional support.

CONCLUSION

Results from this secondary analysis indicate that nutritional support did not increase short-term concentrations of albumin over 7 days, and changes in albumin did not correlate with response to nutritional interventions. However, an increase in albumin concentrations possibly mirroring resolution of inflammation was associated with better clinical outcomes. Repeated in-hospital albumin measurements in the short-term is, thus, not indicated for monitoring of patients receiving nutritional support but provides prognostic information.

TRAIL REGISTRATION

ClinicalTrials.gov Identifier: NCT02517476.

Interprofessional implementation of the Global Malnutrition Composite Score quality measure

Malnutrition in hospitalized patients can impact health outcomes, quality of life, and health equity. Quality improvement initiatives and quality measurement can help improve the care of those hospitalized patients with malnutrition. The new Global Malnutrition Composite Score (GMCS) was recently adopted by the Centers for Medicare & Medicaid Services (CMS) as a health equity-focused measure. Beginning in 2024, the GMCS is available for reporting through the CMS Hospital Inpatient Quality Reporting Program. The GMCS provides an opportunity to elevate the importance of patient nutrition status and evidence-based interventions throughout the interdisciplinary hospital decision-making process. To promote this opportunity, the American Society for Parenteral and Enteral Nutrition (ASPEN) held an "Interprofessional implementation of the Global Malnutrition Composite Score" webinar as part of its 2022 Malnutrition Awareness Week programming. This article summarizes the underlying rationale and significance of the GMCS measure and showcases clinical observations about integrating quality improvement and measurement into the acute care setting, as presented during the webinar.

Malnutrition, sarcopenia, and cancer cachexia in gynecologic cancer

Patients with gynecologic cancers are at risk for malnutrition, cancer cachexia, and sarcopenia. Accumulating data supports that malnourished patients with gynecologic cancer have worse overall survival, increased healthcare utilization and costs, and a higher incidence of postoperative complications and treatment toxicity than those who are not malnourished. Malnutrition is defined as insufficient energy intake, leading to altered body composition and subsequent impaired physical and cognitive function, and can result in sarcopenia and cachexia, defined as the loss of lean body mass and loss of body weight respectively. The etiology of cancer-related malnutrition is complex, resulting from a systemic pro-inflammatory state of malignancy with upregulation of muscle degradation pathways and metabolic derangements, including lipolysis and proteolysis, that may not respond to nutritional repletion alone. Numerous validated scoring systems and radiographic measures have been described to define and quantify the severity of malnutrition and muscle loss in both clinical and research settings. "Prehabilitation" and optimization of nutrition and functional status early in therapy may combat the development or worsening of malnutrition and associated syndromes and ultimately improve oncologic outcomes, but limited data exist in the context of gynecologic cancer. Multi-modality nutrition and physical activity interventions have been proposed to combat the biophysical losses related to malnutrition. Several trials are underway in gynecologic oncology patients to address these aims, but significant gaps in knowledge persist. Pharmacologic interventions and potential immune targets for combating cachexia related to malignancy are discussed in this review and may provide opportunities to target disease and cachexia. This article reviews currently available data regarding the implications, diagnostics, physiology, and intervention strategies for gynecologic oncology patients with malnutrition and its associated conditions.

Higher urea-to-albumin ratio is associated with mortality risk in critically ill COVID-19 patients

BACKGROUND

This study aimed to evaluate the ability of the urea-to-albumin ratio (UAR) to predict mortality in critically ill coronavirus disease 2019 (COVID-19) patients.

METHODS

This retrospective study included adult patients admitted with COVID-19 at two intensive care units (ICUs) at the University Hospital. Serum urea and albumin concentrations at ICU admission were used to calculate the UAR. All patients were followed up during hospitalization, and the ICU mortality rate was recorded.

RESULTS

Two hundred and eleven patients were evaluated. The mean age was 57.8 ± 15.5 years, and 54% were male. Approximately 84.4% of patients were considered to be at nutritional risk by the NRS 2002, and the median UAR was 18.3 (10.5-34.8). The length of stay in the ICU was 10 (6-16) days, 38.4% of the patients required dialysis, and 64.9% died. Age, male sex, need of hemodialysis, lactate level, and inflammatory parameters were associated with higher mortality. Patients non-survivors had a higher UAR (23.7 [13.6-41.8] vs. 10.9 [8.5-16.8]; p < 0.001). The cutoff point with the best performance of UAR in the ROC curve for predicting mortality was ≥12.17 (AUC: 0.7201; CI 95%: 0.656-0.784). Additionally, the risk of mortality was 2.00-fold in the group of patients with UAR ≥12.17 (HR: 2.00 CI: 1.274-3.149; p = 0.003) and remained significant after adjusted analyzes (models 1 and 2).

CONCLUSION

Our data suggest that a UAR ≥12.17 increased the risk of mortality by 2.00-fold in critically ill COVID-19 patients.

Comparison of the performance of the GLIM criteria, PG-SGA and mPG-SGA in diagnosing malnutrition and predicting survival among lung cancer patients: A multicenter study

BACKGROUND & AIMS

The present study aimed to compare the ability of the GLIM criteria, PG-SGA and mPG-SGA to diagnose malnutrition and predict survival among Chinese lung cancer (LC) patients.

METHODS

This was a secondary analysis of a multicenter, prospective, nationwide cohort study, 6697 LC inpatients were enrolled between July 2013 and June 2020. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), area under the curve (AUC), and quadratic weighted Kappa coefficients were calculated to compare the ability to diagnose malnutrition. There were 754 patients who underwent follow-up for a median duration of 4.5 years. The associations between the nutritional status and survival were analyzed by the Kaplan-Meier method and multivariable Cox proportional hazard regression models.

RESULTS

The median age of LC patients was 60 (53, 66), and 4456 (66.5%) were male. There were 617 (9.2%), 752 (11.2%), 1866 (27.9%), and 3462 (51.7%) patients with clinical stage Ⅰ, Ⅱ, Ⅲ, and Ⅳ LC, respectively. Malnutrition was present in 36.1%-54.2% (as evaluated using different tools). Compared with the PG-SGA (used as the diagnostic reference), the sensitivity of the mPG-SGA and GLIM was 93.7% and 48.3%; the specificity was 99.8% and 78.4%; and the AUC was 0.989 and 0.633 (P < 0.001). The weighted Kappa coefficients were 0.41 for the PG-SGA vs. GLIM, 0.44 for the mPG-SGA vs. GLIM, and 0.94 for the mPG-SGA vs PG-SGA in patients with stage Ⅰ-Ⅱ LC. These values were respectively 0.38, 0.39, and 0.93 in patients with stage Ⅲ-Ⅳ of LC. In a multivariable Cox analysis, the mPG-SGA (HR = 1.661, 95%CI = 1.348-2.046, P < 0.001), PG-SGA (HR = 1.701, 95%CI = 1.379-2.097, P < 0.001) and GLIM (HR = 1.657, 95%CI = 1.347-2.038, P < 0.001) showed similar death hazard ratios.

CONCLUSIONS

The mPG-SGA provides nearly equivalent power to predict the survival of LC patients as the PG-SGA and the GLIM, indicating that all three tools are applicable for LC patients. The mPG-SGA has the potential to be an alternative replacement for quick nutritional assessment among LC patients.

Malnutrition screening tool and malnutrition universal screening tool as a predictors of prolonged hospital stay and hospital mortality: A cohort study

BACKGROUND & AIMS

Different nutrition screening tools have been proposed to screen inpatients, although, there is still no consensus regarding the reference method for identifying patients at nutritional risk. This retrospective cohort study aimed to evaluate the concurrent and predictive validity of the Malnutrition Screening Tool (MST) and Malnutrition Universal Screening Tool (MUST) to identify inpatients at nutritional risk.

METHODS

Data from electronic medical records were collected from adult and elderly inpatients in wards of a public tertiary hospital (Hospital de Clínicas de Porto Alegre, Brazil) over one year. Only the first nutritional evaluation was considered for each patient. GLIM criteria was used for malnutrition status (concurrent validity) and hospital stay length and mortality were outcomes to predictive validity.

RESULTS

A total of 5270 patients were included in this study. The mean patient age was 59 ± 16 years old, and 50.7% were males. More than 60% of the patients (65.8%) were admitted to a surgical unit, 63.8% had mild disease-related metabolic stress, 50.7% experienced prolonged hospital stays (more than ten days), and 1.9% of the patients died. Considering the availability of nutritional data, it was possible to perform nutritional screening of 98.1% of patients by MST and 96.7% of patients by MUST. A higher proportion of patients at risk were identified by MUST (53.6%) as compared to MST (21.3%; P < 0.001). MST had 89.9% of Specificity, 60.4% of PPV, 94.6% of NPV, and a moderate agreement with malnutrition by GLIM criteria (κ = 0.591; P < 0.001). A prolonged hospital stay was positively associated with the classification of nutritional risk based on both screening tools. Death was positively associated with nutritional risk by MST (hazard ratio [HR] 2.09; 95% confidence interval [CI] 1.37-3.16) and by MUST (HR 1.79; 95% CI 1.00-3.18) after adjustment based on sex, age, admission type (surgical or clinical), and disease-related metabolic stress.

CONCLUSIONS

MST may be good concurrent validity to malnutrition by GLIM criteria as compared to MUST. However, both risk nutritional tools were positively associated with predicting a prolonged hospital stay and mortality.

Nutritional status and prognostic factors for mortality in patients admitted to emergency department observation units: a national multi-center study in China

BACKGROUND

Nutritional risk is common among patients admitted to the emergency department and is associated with adverse clinical outcomes. Despite its large population, few comprehensive studies have been conducted in China concerning the nutritional status of patients admitted to emergency department observation units (EDOUs).

METHODS

Patients admitted to EDOUs of 90 tertiary hospitals in China between June 2020 and December 2020 were enrolled. Demographic information, laboratory parameters, nutritional support therapies, and 28-day mortality were recorded. Risk factors for mortality were examined using multi-variate-adjusted logistic regression analysis. Receiver operating characteristic (ROC) curves for each predictor of mortality were plotted, and the area under the ROC (AUROC) curves was compared.

RESULTS

A total of 2,005 eligible patients were finally enrolled. At the 28-day follow-up, 1,911 patients survived, and 94 died. The group with a Nutritional Risk Screening 2002 (NRS 2002) score of 3-4 points was the largest (52.01%). The number of patients receiving oral nutritional supplements, enteral nutrition (EN), parenteral nutrition (PN), and the combination of EN and PN was 425, 314, 853, and 413, respectively. Among the total, 77.55% of patients had nutritional risk (NRS 2002 ≥3). The proportion of patients with high nutritional risk (NRS2002≥5) in the age group >80 years was significantly higher than that in the age group 66-80 years (29.00% vs. 23.93%, P=0.032), but not significantly higher than that in the age group 18-65 years (29.00% vs. 26.54%, P=0.449). Logistic regression analysis revealed that heart failure (odds ratio [OR] 1.856, 95% confidence interval [CI] 1.087-3.167, P=0.023), consciousness (OR 2.967, 95% CI 1.894-4.648, P<0.001), Acute Physiology and Chronic Health Evaluation II (APACHE II) score (OR 1.037, 95% CI 1.017-1.058, P<0.001), NRS 2002 score (OR 1.286, 95% CI 1.115-1.483, P=0.001), and Mini Nutritional Assessment-Short Form score (OR 0.946, 95% CI 0.898-0.997, P=0.039) were all independent risk factors for 28-day mortality. APACHE II and NRS 2002 scores were superior to other predictors according to the comparison of AUROC.

CONCLUSIONS

Nutritional risk is prevalent among older patients in EDOUs in China. APACHE II and NRS 2002 scores are important risk factors for mortality in patients admitted to the EDOU. Timely and appropriate nutritional screening and support measures are critical to reduce patients' length of hospital stay and mortality.

Handgrip Strength Values Depend on Tumor Entity and Predict 180-Day Mortality in Malnourished Cancer Patients

BACKGROUND

Cancer-related malnutrition is a prevalent condition associated with a loss of muscle mass and impaired functional status, leading to immunodeficiency, impaired quality of life and adverse clinical outcomes. Handgrip strength (HGS) is a practical measure to assess muscle strength in individual patients during clinical practice. However, HGS reference values refer to populations of healthy people, and population-specific values, such as those in the population of cancer patients, still need to be defined.

METHODS

Within a secondary analysis of a previous randomized controlled nutritional trial focusing on hospitalized cancer patients at risk for malnutrition, we investigated sex-specific HGS values stratified by age and tumor entity. Additionally, we examined the association between HGS and 180-day all-cause mortality.

RESULTS

We included data from 628 cancer patients, which were collected from eight hospitals in Switzerland. Depending on the age of patients, HGS varied among female patients from 7 kg to 26 kg and among male patients from 20.5 kg to 44 kg. An incremental decrease in handgrip strength by 10 kg resulted in a 50% increase in 180-day all-cause mortality (odds ratio 1.52 (95%CI 1.19 to 1.94), p = 0.001).

CONCLUSION

Our data provide evidence of the prognostic implications of HGS measurement in cancer patients and validate the prognostic value of handgrip strength in regard to long-term mortality. In addition, our results provide expected HGS values in the population of hospitalized malnourished cancer patients, which may allow better interpretation of values in individual patients.

Admission serum albumin concentrations and response to nutritional therapy in hospitalised patients at malnutrition risk: Secondary analysis of a randomised clinical trial

BACKGROUND

Historically, admission serum albumin concentrations have been considered useful biochemical markers for nutrition assessment. However, there is a lack of randomised trial data investigating whether low albumin concentrations are helpful for identifying patients benefitting from nutritional support.

METHODS

This study was a secondary analysis of the EFFORT trial, a Swiss-wide multicentre, randomised controlled trial comparing individualised nutritional support with usual care nutrition in medical inpatients from April 1, 2014, to February 1, 2018. 1389 of 2028 patients at nutritional risk with available albumin concentrations on admission were included. The primary endpoint was all-cause mortality within 30 and 180 days. Patients were stratified into groups of low or normal albumin based on the albumin cut-off of 30 g/L. ClinicalTrials.gov number, NCT02517476.

FINDINGS

1389 patients (mean age, 73.1 (SD 3.5) years; 747 (53.8%) men) were included and 676 (48.7%) had low serum albumin concentrations at admission (<30 g/L). Mortality at 180 days was significantly increased in the low albumin group compared with patients with normal albumin concentrations (219/676 (32.4%) vs. 162/713 (22.7%), fully adjusted HR 1.4, 95%CI 1.11 to 1.77, p = 0.005]. Effects of nutritional support on 30-day mortality were similar for patients with low compared to patients with normal albumin concentrations (HR 0.68, 95%CI 0.44 to 1.05 vs. HR 0.70, 95%CI 0.41 to 1.20), with no evidence for a subgroup effect (p for interaction=0.97).

INTERPRETATION

Based on this secondary analysis of a randomised trial, low admission serum albumin concentrations in hospitalised, non-critically ill, medical patients at nutritional risk had prognostic implications and indicated higher mortality risk but were not helpful in selecting patients for nutritional interventions.

FUNDING

The Swiss National Science Foundation (SNSF) (PP00P3_150531) and the Research Council of the Kantonsspital Aarau (1410.000.058 and 1410.000.044) provided funding for the EFFORT trial.

Agreement between GLIM and PG-SGA for diagnosis of malnutrition depends on the screening tool used in GLIM

BACKGROUND & AIM

The Global Leadership Initiative on Malnutrition (GLIM) has suggested a process for the diagnosis of malnutrition. The process consists of applying an existing screening tool for malnutrition screening, followed by malnutrition diagnostics, and finally categorization of malnutrition severity (moderate or severe) according to specific GLIM criteria. However, it is not known how well the GLIM process agrees with other diagnostic tools used in the current clinical practice. The aim of this study was to validate the GLIM process against the Patient Generated-Subjective Global Assessment (PG-SGA) when different screening tools were applied in the screening step of the GLIM process.

METHODS

Colorectal cancer (CRC) patients from the ongoing CRC-NORDIET study were included. For the GLIM process, the patients were first screened for malnutrition using either 1) Nutritional risk screening, first 4 questions (NRS-2002-4Q), 2) Malnutrition Screening Tool (MST), 3) Malnutrition Universal Screening Tool (MUST) or 4) the PG-SGA short form (PG-SGA-SF). The GLIM malnutrition diagnosis was then based on combining the result from each of the screening methods with the etiological and phenotypic GLIM-criteria including weight loss, BMI and fat free mass. In parallel, the patients were diagnosed using the PG-SGA methodology categorizing the patients into either A: well nourished, B: moderately malnourished or C: severely malnourished. The four different GLIM based diagnoses were then validated against the diagnosis obtained by the PG-SGA tool. Sensitivity, specificity and positive predictive value (PPV) were calculated to evaluate validity.

RESULTS

In total, 426 patients were included (mean age: 66, ±8 years) at a mean time of 166 (±56) days after surgery. The GLIM diagnosis based on the four different screening tools identified 10-24% of the patients to be malnourished, of which 3-8% were severely malnourished. The PG-SGA method categorized 15% as moderately malnourished (PG-SGA: category B) and no patients as severely malnourished (PG-SGA: category C). The agreement between the PG-SGA and GLIM process was in general low, but differed according to the tools: PG-SGA SF (sensitivity 47%, PPV 71%), MST (sensitivity 56%, PPV 47%), NRS-2002-4Q (sensitivity 63%, PPV 53%) and MUST (sensitivity 53%, PPV 34%).

CONCLUSION

In this cross-sectional study of patients with CRC, the concordance between the GLIM-criteria and PG-SGA depended on the screening tool used in the GLIM process. Malnutrition frequency based on the GLIM process schould be reported with and without the use of a screening tool.

Management of disease-related malnutrition for patients being treated in hospital

Disease-related malnutrition in adult patients who have been admitted to hospital is a syndrome associated with substantially increased morbidity, disability, short-term and long-term mortality, impaired recovery from illness, and cost of care. There is uncertainty regarding optimal diagnostic criteria, definitions for malnutrition, and how to identify patients who would benefit from nutritional intervention. Malnutrition has become the focus of research aimed at translating current knowledge of its pathophysiology into improved diagnosis and treatment. Researchers are particularly interested in developing nutritional interventions that reverse the negative effects of disease-related malnutrition in the hospital setting. High-quality randomised trials have provided evidence that nutritional therapy can reduce morbidity and other complications associated with malnutrition in some patients. Screening of patients for risk of malnutrition at hospital admission, followed by nutritional assessment and individualised nutritional interventions for malnourished patients, should become part of routine clinical care and multimodal treatment in hospitals worldwide.

Association of metabolomic markers and response to nutritional support: A secondary analysis of the EFFORT trial using an untargeted metabolomics approach

BACKGROUND & AIMS

The EFFORT trial reported a substantial risk reduction for adverse events and mortality in medical in-patients receiving a nutritional support intervention. With the use of an untargeted metabolomics approach, we investigated the prognostic and therapeutic potential of metabolomic markers to understand, whether there are distinct metabolic patterns associated with malnutrition risk as assessed by the Nutritional Risk screening (NRS 2002) score, the risk of 30-day mortality and the response to nutritional support, respectively.

METHODS

Out of the 2088 samples we randomly selected 120 blood samples drawn on day 1 after hospital admission and before treatment initiation. Samples were stratified by NRS 2002, treatment allocation (intervention vs. control), and mortality at 30 days, but not on the type of medical illness. We performed untargeted analysis by liquid chromatography mass spectrometry (LC-MS/MS).

RESULTS

We measured 1389 metabolites in 120 patients of which 81 (67.5%) survived until day 30. After filtering, 371 metabolites remained, and 200 were matched to one or more Human Metabolome Data Base (HMDB) entries. Between group analysis showed a slight distinction between the treatment groups for patients with a NRS 3, but not for those with NRS 4 and ≥ 5. C-statistic between those who died and survived at day 30 ranged from 0.49 (95% confidence interval 0.35-0.68) for a combination of 5 metabolites/predictors to 0.66 (95% confidence interval 0.53-0.79) for a combination of 100 metabolites. Pathway analysis found significant enrichment in the pathways for nitrogen, vitamin B3 (nicotinate and nicotinamide), leukotriene, and arachidonic acid metabolisms in nutritional support responders compared to non-responders.

CONCLUSION

In our heterogenous population of medical inpatients with different illnesses and comorbidities, metabolomic markers showed little prognostic and therapeutic potential for better phenotyping malnutrition and response to nutritional therapy. Future studies should focus on more selected patient populations to understand whether a metabolomic approach can advance the nutritional care of patients.