Effectiveness of a multidisciplinary and transitional nutritional intervention compared with standard care on health-related quality of life among acutely admitted medical patients aged ≥65 years with malnutrition or risk of malnutrition: A randomized controlled trial.

BACKGROUND & AIM: Malnutrition, risk of malnutrition, and risk factors for malnutrition are prevalent among acutely admitted medical patients aged ≥65 years and have significant health-related consequences. Consequently, we aimed to investigate the effectiveness of a multidisciplinary and transitional nutritional intervention on health-related quality of life compared with standard care. METHODS: The study was a block randomized, observer-blinded clinical trial with two parallel arms. The Intervention Group was offered a multidisciplinary transitional nutritional intervention consisting of dietary counselling and six sub-interventions targeting individually assessed risk factors for malnutrition, while the Control Group received standard care. The inclusion criteria were a Mini Nutritional Assessment Short-Form score ≤11, age ≥65 years, and an acute admittance to the Emergency Department. Outcomes were assessed on admission and 8 and 16 weeks after hospital discharge. The primary outcome was the difference between groups in change in health-related quality of life (assessed by the EuroQol-5D-5L) from baseline to 16 weeks after discharge. The secondary outcomes were difference in intake of energy and protein, well-being, muscle strength, and body weight at all timepoints. RESULTS: From October 2018 to April 2021, 130 participants were included. Sixteen weeks after discharge, 29% in the Intervention Group and 19% in the Control Group were lost to follow-up. Compliance varied between the sub-interventions targeting nutritional risk factors and was generally low after discharge, ranging from 0 to 61%. No difference was found between groups on change in health-related quality of life or on well-being, muscle strength, and body weight at any timepoint, neither using the intention-to-treat analysis nor the per-protocol analysis. The protein intake was higher in the Intervention Group during hospitalization (1.1 (Standard Deviation (SD) 0.4) vs 0.8 (SD 0.5) g/kg/day, p = 0.0092) and 8 weeks after discharge (1.2 (SD 0.5) vs 0.9 (0.4) g/kg/day, p = 0.0025). The percentual intake of calculated protein requirements (82% (SD 24) vs 61% (SD 32), p = 0.0021), but not of calculated energy requirements (89% (SD 23) vs 80% (SD 37), p = 0.2), was higher in the Intervention Group than in the Control Group during hospitalization. Additionally, the Intervention Group had a significantly higher percentual intake of calculated protein requirements (94% (SD 41) vs 74% (SD 30), p = 0.015) and calculated energy requirements (115% (SD 37) vs 94% (SD 31), p = 0.0070) 8 weeks after discharge. The intake of energy and protein was comparable between the groups 16 weeks after discharge. CONCLUSION: We found no effect of a multidisciplinary and transitional nutritional intervention for acutely admitted medical patients aged ≥65 years with malnutrition or risk of malnutrition on our primary outcome, health-related quality of life 16 weeks after discharge. Nor did the intervention affect the secondary outcomes, well-being, muscle strength, and body weight from admission to 8 or 16 weeks after discharge. However, the intervention improved energy and protein intake during hospitalization and 8 weeks after discharge. Low compliance with the intervention after discharge may have compromised the effect of the intervention. The study is registered at ClinicalTrials.gov (identifier: NCT03741283).

Performance of Panel-Estimated GFR Among Hospitalized Older Adults.

RATIONALE & OBJECTIVE: Older adults represent nearly half of all hospitalized patients and are vulnerable to inappropriate dosing of medications eliminated through the kidneys. However, few studies in this population have evaluated the performance of equations for estimating the glomerular filtration rate (GFR)-particularly those that incorporate multiple filtration markers. STUDY DESIGN: Cross-sectional diagnostic test substudy of a randomized clinical trial. SETTING & PARTICIPANTS: Adults≥65 years of age presenting to the emergency department of Copenhagen University Hospital Amager and Hvidovre in Hvidovre, Denmark, between October 2018 and April 2021. TESTS COMPARED: Measured GFR (mGFR) determined using 99mTc-DTPA plasma clearance compared with estimated GFR (eGFR) calculated using 6 different equations based on creatinine; 3 based on creatinine and cystatin C combined; and 2 based on panels of markers including creatinine, cystatin C, ß-trace protein (BTP) and/or ß2-microglobulin (B2M). OUTCOME: The performance of each eGFR equation compared with mGFR with respect to bias, relative bias, inaccuracy (1-P30), and root mean squared error (RMSE). RESULTS: We assessed eGFR performance for 106 patients (58% female, median age 78.3 years, median mGFR 62.9mL/min/1.73m2). Among the creatinine-based equations, the 2009 CKD-EPIcr equation yielded the smallest relative bias (+4.2%). Among the creatinine-cystatin C combination equations, the 2021 CKD-EPIcomb equation yielded the smallest relative bias (-3.4%), inaccuracy (3.8%), and RMSE (0.139). Compared with the 2021 CKD-EPIcomb, the CKD-EPIpanel equation yielded a smaller RMSE (0.136) but larger relative bias (-4.0%) and inaccuracy (5.7%). LIMITATIONS: Only White patients were included; only a subset of patients from the original clinical trial underwent GFR measurement; and filtration marker concentration can be affected by subclinical changes in volume status. CONCLUSIONS: The 2009 CKD-EPIcr, 2021 CKD-EPIcomb, and CKD-EPIpanel equations performed best and notably outperformed their respective full-age spectrum equations. The addition of cystatin C to creatinine-based equations improved performance, while the addition of BTP and/or B2M yielded minimal improvement. FUNDING: Grants from public sector industry (Amgros I/S) and government (Capital Region of Denmark). TRIAL REGISTRATION: Registered at ClinicalTrials.gov with registration number NCT03741283. PLAIN-LANGUAGE SUMMARY: Inaccurate kidney function assessment can lead to medication errors, a common cause of hospitalization and early readmission among older adults. Several novel methods have been developed to estimate kidney function based on a panel of kidney function markers that can be measured from a single blood sample. We evaluated the accuracy of these new methods (relative to a gold standard method) among 106 hospitalized older adults. We found that kidney function estimates combining 2 markers (creatinine and cystatin C) were highly accurate and noticeably more accurate than estimates based on creatinine alone. Estimates incorporating additional markers such as ß-trace protein and ß2-microglobulin did not further improve accuracy.

Estimated glomerular filtration rate based on creatinine, cystatin C, ß-trace protein and ß2 microglobulin in patients undergoing nontraumatic lower extremity amputation.

AIMS: The study's aim is to compare current and new equations for estimating glomerular filtration rate (GFR) based on creatinine, cystatin C, ß-trace protein (BTP) and ß2 microglobulin (B2M) among patients undergoing major amputation. METHODS: This is a secondary analysis of data from a prospective cohort study investigating patients undergoing nontraumatic lower extremity amputation. Estimated GFR (eGFR) was calculated using equations based on creatinine (eGFRcre[2009] and eGFRcre[2021]), cystatin C (eGFRcys), the combination of creatinine and cystatin C (eGFRcomb[2012] and eGFRcomb[2021]) or a panel of all 4 filtration markers (eGFRpanel). Primary outcome was changed in eGFR across amputation according to each equation. Two case studies of prior amputation with GFR measured by 99mTc-DTPA clearance are described to illustrate the relative accuracies of each eGFR equation. RESULTS: Analysis of the primary outcome included 29 patients (median age 75 years, 31% female). Amputation was associated with a significant decrease in creatinine concentration (-0.09 mg/dL, P = 0.004), corresponding to a significant increase in eGFRcre[2009] (+6.1 mL/min, P = 0.006) and eGFRcre[2021] (+6.3 mL/min, P = 0.006). Change across amputation was not significant for cystatin C, BTP, B2M or equations incorporating these markers (all P > 0.05). In both case studies, eGFRcre[2021] yielded the largest positive bias, eGFRcys yielded the largest negative bias and eGFRcomb[2012] and eGFRcomb[2021] yielded the smallest absolute bias. CONCLUSION: Creatinine-based estimates were substantially higher than cystatin C-based estimates before amputation and significantly increased across amputation. Estimates combining creatinine and cystatin were stable across amputation, while the addition of BTP and B2M is unlikely to be clinically relevant.

Evaluation of Multi-Frequency Bioelectrical Impedance Analysis against Dual-Energy X-ray Absorptiometry for Estimation of Low Muscle Mass in Older Hospitalized Patients.

The accuracy of multi-frequency (MF) bioelectrical impedance analysis (BIA) to estimate low muscle mass in older hospitalized patients remains unclear. This study aimed to describe the ability of MF-BIA to identify low muscle mass as proposed by The Global Leadership Initiative on Malnutrition (GLIM) and The European Working Group on Sarcopenia in Older People (EWGSOP-2) and examine the association between muscle mass, dehydration, malnutrition, and poor appetite in older hospitalized patients. In this prospective exploratory cohort study, low muscle mass was estimated with MF-BIA against dual-energy X-ray absorptiometry (DXA) in 42 older hospitalized adults (≥65 years). The primary variable for muscle mass was appendicular skeletal muscle mass (ASM), and secondary variables were appendicular skeletal muscle mass index (ASMI) and fat-free mass index (FFMI). Cut-off values for low muscle mass were based on recommendations by GLIM and EWGSOP-2. MF-BIA was evaluated against DXA on the ability to estimate absolute values of muscle mass by mean bias, limits of agreement (LOA), and accuracy (5% and 10% levels). Agreement between MF-BIA and DXA to identify low muscle mass was evaluated with sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV). The association between muscle mass, dehydration, malnutrition, and poor appetite was visually examined with boxplots. MF-BIA overestimated absolute values of ASM with a mean bias of 0.63 kg (CI: -0.20:1.46, LOA: -4.61:5.87). Agreement between MF-BIA and DXA measures of ASM showed a sensitivity of 86%, specificity of 94%, PPV of 75% and NPV of 97%. Boxplots indicate that ASM is lower in patients with malnutrition. This was not observed in patients with poor appetite. We observed a tendency toward higher ASM in patients with dehydration. Estimation of absolute ASM values with MF-BIA should be interpreted with caution, but MF-BIA might identify low muscle mass in older hospitalized patients.

Mild Cognitive Impairment Is Associated with Poorer Nutritional Status on Hospital Admission and after Discharge in Acutely Hospitalized Older Patients.

In acutely hospitalized older patients (≥65 years), the association between mild cognitive impairment (MCI) and malnutrition is poorly described. We hypothesized that (1) MCI is associated with nutritional status on admission and after discharge; (2) MCI is associated with a change in nutritional status; and (3) a potential association is partly explained by frailty, comorbidity, medication use, and age. We combined data from a randomized controlled trial (control group data) and a prospective cohort study (ClinicalTrials.gov: NCT01964482 and NCT03052192). Nutritional status was assessed on admission and follow-up using the Mini Nutritional Assessment-Short Form. MCI or intact cognition (noMCI) was classified by three cognitive performance tests at follow-up. Data on frailty, comorbidity, medication use, and age were drawn from patient journals. MCI (n = 42) compared to noMCI (n = 47) was associated with poorer nutritional status with an average difference of -1.29 points (CI: -2.30; -0.28) on admission and -1.64 points (CI: -2.57; -0.70) at 4-week follow-up. Only age influenced the estimates of -0.85 (CI: -1.86; 0.17) and -1.29 (CI: -2.25; -0.34), respectively. In acutely hospitalized older patients, there is an association between MCI and poorer nutritional status upon admission and four weeks after discharge. The association is partly explained by higher age.