8 research outputs found

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

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    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

    The association between prealbumin, all‐cause mortality and response to nutritional treatment in patients at nutritional risk. Secondary analysis of a randomized‐controlled trial

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    IntroductionDue to the shorter half-life as compared with albumin, serum prealbumin concentrations have been proposed to be useful nutritional biomarkers for the assessment of patients at nutritional risk. In a post-hoc analysis of patients at nutritional risk from a randomized-controlled nutritional trial, we therefore tested the hypothesis that (a) prealbumin is associated with higher all-cause 180-day mortality rates and that (b) individualized nutritional support compared to usual care nutrition more effectively improves survival at 30 days in patients with low prealbumin levels compared to patients with normal prealbumin levels.MethodsWe performed a pre-specified cohort study in patients included in the pragmatic, Swiss, multicenter, randomized-controlled EFFORT trial comparing the effects of individualized nutritional support with usual care. We studied low prealbumin concentrations (<0.17 g/l) in a subgroup of 517 patients from one participating centre.ResultsA total of 306 (59.2%) patients (mean age 71.9 years, 53.6% men) had low admission prealbumin levels (<0.17 g/L). There was a significant association between low prealbumin levels and mortality at 180-days [115/306 (37.6%) vs. 47/211 (22.3%), fully adjusted hazard ratio (HR) 1.59, 95%CI 1.11 to 2.28, p=0.011]. Prealbumin levels significantly improved the prognostic value of the Nutritional Risk Screening total score regarding mortality prediction at short- and long-term. The difference in mortality between patients receiving individualized nutritional support and usual care nutrition was similar for patients with low prealbumin levels compared with patients with normal prealbumin levels [HR 0.90 (95%CI 0.51 to 1.59) vs. HR 0.88 (95%CI 0.35 to 2.23)] with no evidence for interaction (p=0.823).ConclusionAmong medical inpatients at nutritional risk, low admission prealbumin levels correlated with different nutritional markers and higher mortality risk; but patients with low or high prealbumin levels had a similar benefit from nutritional support. Further studies should identify nutritional markers that help further personalize nutritional interventions.Trial RegistrationClinicalTrials.gov Identifier: NCT0251747

    Nutrition issues in the general medical ward patient: From general screening to specific diagnosis and individualized treatment

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    Disease-related malnutrition in patients in the general medical ward remains a complex syndrome, which contributes to high morbidity and mortality, and seriously interferes with recovery from acute illness. Recently, there have been important advances in the development of consensus diagnostic criteria for malnutrition, and through the recent completion of large-scale trials, the understanding of pathophysiological pathways and evidence-based treatment algorithms to provide nutrition care to patients at risk for malnutrition in the hospital setting has advanced. There is need to identify more specific clinical parameters and blood biomarkers, which allow a more personalized approach to the malnourished patients, because not all patients show the same response to nutrition interventions. Recent studies have suggested that some nutrition biomarkers of inflammation, kidney function and muscle health, among others, predict treatment response to nutrition interventions and may help to personalize treatments. In addition to advancing the science, there is need for more education of students and treating teams in the hospital to improve the screening of patients at hospital admission regarding nutrition risk with the start of individualized nutrition support interventions, thereby bringing optimal nutrition care to the bedside

    Low T3 syndrome upon admission and response to nutritional support in malnourished medical inpatients.

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    INTRODUCTION During illness, deiodination of thyroxine (T4) to triiodothyronine (T3) is down regulated. This is called "low T3 syndrome", an adaptive metabolic mechanism to reduce energy expenditure and prevent catabolism. We investigated the prognostic role of low T3 syndrome in patients at nutritional risk regarding mortality, clinical outcomes and response to nutritional support. METHODS This is a secondary analysis of the Effect of Early Nutritional Support on Frailty, Functional Outcomes, and Recovery of Malnourished Medical Inpatients Trial (EFFORT), a randomized-controlled Swiss multicenter trial comparing effects of individualized nutritional support with usual care in adult medical inpatients at nutritional risk. The primary endpoint was all-cause mortality over 30-,180-days and 5-years. RESULTS We had complete data including fT3 concentration of 801/2028 (39.5%) patients from the initial trial. Of these 492 (61.4%) had low T3 syndrome (fT3 < 3.2 pmol/l). Low T3 syndrome was associated with higher mortality over 30 days (adjusted hazard ratio 1.97 [95%CI 1.17 to 3.31], p 0.011) and other adverse clinical outcomes. Nutritional support only lowered mortality in the group of patients with but not in those without low T3 syndrome (adjusted odds ratio of nutritional support of 0.82 [95%CI 0.47 to 1.41] vs. 1.47 [95%CI 0.55 to 3.94]). This finding, however, was not significant in interaction analysis (p for interaction = 0.401). CONCLUSIONS Our secondary analysis of a randomized trial suggests that medical inpatients at nutritional risk with low T3 syndrome have a substantial increase in mortality and may show a more pronounced beneficial response to nutritional support interventions

    Nutritional support after hospital discharge improves long-term mortality in malnourished adult medical patients: Systematic review and meta-analysis.

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    BACKGROUND & AIMS In patients with malnutrition there is an increased long-term risk for mortality beyond the preciding hospital stay. We investigated the effects of postdischarge nutritional support in the outpatient setting on all-cause mortality in the populaton of malnourished medical patients in a systematic review of randomized controlled trials. METHODS We searched MEDLINE and EMBASE, from inception to December 21, 2022. Randomized-controlled trials investigating nutritional support in medical patients following hospital discharge vs. control group (usual care, placebo and no nutritional support) were included. Data were independently extracted by two authors and were pooled using random effects model. Our primary outcome was all cause-mortality up to 12-months (end of intervention) of hospital discharge. RESULTS We included 14 randomized-controlled trials with a total of 2438 participants and mostly moderate trial quality. Compared to the control group, patients receiving outpatient nutritional support had lower mortality (13 trials, odds ratio [OR] 0.63, 95% confidence interval [CI] 0.48 to 0.84, p = 0.001, I2 = 1%). Nutritional support was also associated with a significant increase in the mean daily intake of energy (568 kcal, 95% CI 24 to 1,113, p = 0.04), proteins (24 g, 95% CI 7 to 41), p = 0.005) and body weight (1.1 kg, 95% CI 0.6 to 1.7), p < 0.001). No differences were found on hospital readmissions and handgrip strength. CONCLUSIONS This meta-analysis of randomized-controlled trials with mostly moderate trial quality suggests that nutritional support in the outpatient setting significantly increases nutritional intake as well as body weight, and importantly improves survival. Further large-scale and high-quality intervention trials are needed to confirm these findings

    The association between prealbumin, all-cause mortality and response to nutritional treatment in patients at nutritional risk. Secondary analysis of a randomized-controlled trial.

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    INTRODUCTION Due to the shorter half-life as compared with albumin, serum prealbumin concentrations have been proposed to be useful nutritional biomarkers for the assessment of patients at nutritional risk. In a post-hoc analysis of patients at nutritional risk from a randomized-controlled nutritional trial, we therefore tested the hypothesis that (a) prealbumin is associated with higher all-cause 180-day mortality rates and that (b) individualized nutritional support compared to usual care nutrition more effectively improves survival at 30 days in patients with low prealbumin levels compared to patients with normal prealbumin levels. METHODS We performed a pre-specified cohort study in patients included in the pragmatic, Swiss, multicenter, randomized-controlled EFFORT trial comparing the effects of individualized nutritional support with usual care. We studied low prealbumin concentrations (<0.17 g/l) in a subgroup of 517 patients from one participating centre. RESULTS A total of 306 (59.2%) patients (mean age 71.9 years, 53.6% men) had low admission prealbumin levels (<0.17 g/L). There was a significant association between low prealbumin levels and mortality at 180-days [115/306 (37.6%) vs. 47/211 (22.3%), fully adjusted hazard ratio (HR) 1.59, 95%CI 1.11 to 2.28, p=0.011]. Prealbumin levels significantly improved the prognostic value of the Nutritional Risk Screening total score regarding mortality prediction at short- and long-term. The difference in mortality between patients receiving individualized nutritional support and usual care nutrition was similar for patients with low prealbumin levels compared with patients with normal prealbumin levels [HR 0.90 (95%CI 0.51 to 1.59) vs. HR 0.88 (95%CI 0.35 to 2.23)] with no evidence for interaction (p=0.823). CONCLUSION Among medical inpatients at nutritional risk, low admission prealbumin levels correlated with different nutritional markers and higher mortality risk; but patients with low or high prealbumin levels had a similar benefit from nutritional support. Further studies should identify nutritional markers that help further personalize nutritional interventions. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02517476 This article is protected by copyright. All rights reserved

    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

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    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

    Prospective validation of five malnutrition screening and assessment instruments among medical inpatients: Secondary analysis of a randomized clinical trial.

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    BACKGROUND & AIMS Screening for malnutrition upon hospital admission is the first crucial step for proper nutritional assessment and treatment. While several nutritional screening and assessment instruments exist, there is a lack of head-to-head validation of these instruments. We studied the ability of five different nutrition screening and assessment instruments to predict 1-year mortality and response to nutritional treatment in participants of the EFFORT randomized trial. METHODS In this secondary analysis of a Swiss-wide multicenter, randomized clinical trial comparing individualized nutritional support with usual care nutrition in medical inpatients, we prospectively classified patients as low, intermediate, and high nutritional risk based on five nutritional screening and assessment instruments (NRS 2002, SGA, SNAQ, MNA and MUST). RESULTS Overall mortality at 1-year in the 1866 included patients was 30.4%. There were significant correlations and a significant concordance between all instruments with r-values ranging from 0.23 to 0.55 and kappa values ranging from 0.10 to 0.36. While high nutritional risk was associated with higher mortality in all instruments, SGA and MNA showed the strongest association with adjusted odds ratios of 3.17 (95%CI, 2.18 to 4.61, p < 0.001) and 3.45 (95%CI, 2.28 to 5.22, p < 0.001). When comparing mortality in intervention group patients to control group patients stratified by severity of malnutrition, there was overall no clear trend towards more benefit in patients with more severe malnutrition, with NRS 2002 and SGA showing the most pronounced relationship between the severity of malnutrition and reduction in mortality as a response to nutritional support. CONCLUSION Among all five screening and assessment instruments, higher nutritional risk was associated with higher risk for mortality and adverse clinical outcome, but not with more or less treatment response from nutritional support with differences among scores. Adding more specific parameters to these instruments is important when using them to decide for or against nutritional support interventions in an individual patient. TRIAL REGISTRATION ClinicalTrials.gov NCT02517476
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