Reliability, usability and coverage of AMSTAR 2 assessing 544 systematic reviews and meta analysis reports - protocol for a descriptive analytic study

Background: The AMSTAR 2 tool (second version of Assessing Methodological Quality in Systematic Reviews) is useful for critical appraisal of systematic reviews of clinical trials. In a methodological study of systematic reviews and meta-analysis reports of randomised clinical trials which used the sequential meta-analysis trial sequential analysis (the METSA study), we used the AMSTAR 2 to assess the overall quality of each included study. With the study outlined in this protocol, we aim to explore the interrater reliability of the AMSTAR 2, qualitatively describe our experiences using the tool, and discuss the tool’s coverage of critical domains. Methods: In the METSA study, we investigated statistical methodology and transparency in 544 systematic reviews and meta-analysis reports of randomised clinical trials which used trial sequential analysis (TSA). All systematic reviews (with a protocol) were assessed with AMSTAR 2 by two independent authors (n=270). Meta-analysis reports – defined as not having a protocol – were automatically rated as ‘critically low confidence’ and did no undergo further AMSTAR 2 assessment. Disagreement on the AMSTAR 2 rating was resolved through discussion between the authors. Principal issues were discussed at weekly meetings. Thoughts on the usability and coverage of AMSTAR 2 was shared at these meetings and noted throughout and will be collected post-hoc for the current study. Here, we will analyse the level of agreement on the initial ratings by raw agreement rates and Cohen’s kappa and test for trends concerning the effect of the consensus process (rating up or down confidence) as well as the overall effect of assessor experience. We will compare the AMSTAR 2 rating with the assessments of TSA transparency performed during the METSA study. Conclusion: This methodological study will provide insights in some of the characteristics of AMSTAR 2, including interrater reliability and usability in the context of assessing 270 systematic reviews of clinical trials. We will provide group consensus-based suggestions regarding usability and coverage

Association between Malnutrition and 28-Day Mortality and Intensive Care Length-of-Stay in the Critically ill: A Prospective Cohort Study

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).There is limited evidence for the association between malnutrition and mortality as well as Intensive Care Unit length-of-stay (ICU-LOS) in critically ill patients. We aimed to examine the aforementioned associations by conducting a prospective cohort study in an ICU of a Singapore tertiary hospital. Between August 2015 and October 2016, all adult patients with ≥ 24 h of ICU-LOS were included. The 7-point Subjective Global Assessment (7-point SGA) was used to determine patients’ nutritional status within 48 h of ICU admission. Multivariable regressions were conducted in two ways: (1) presence versus absence of malnutrition, and (2) dose-dependent association for each 1-point decrease in the 7-point SGA. There were 439 patients of which 28.0% were malnourished, and the 28-day mortality rate was 28.0%. Malnutrition was associated with an increased risk of 28-day mortality (adjusted Relative Risk 1.33 (95% Confidence Interval: 1.05–1.69)), and this risk increased with a greater degree of malnutrition (adjusted Relative Risk 1.08 (95% Confidence Interval: 1.00–1.16) for each 1-point decrease in the 7-point SGA). No significant association was found between malnutrition and ICU-LOS. The results of this study indicated a clear association between malnutrition and higher 28-day mortality in critically ill patients. The association between malnutrition and ICU-LOS could not be replicated and hence requires further evaluation. View Full-Tex

The association between nutritional adequacy and 28-day mortality in the critically ill is not modified by their baseline nutritional status and disease severity

© The Author(s). 2019 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.BACKGROUND: During the initial phase of critical illness, the association between the dose of nutrition support and mortality risk may vary among patients in the intensive care unit (ICU) because the prevalence of malnutrition varies widely (28 to 78%), and not all ICU patients are severely ill. Therefore, we hypothesized that a prognostic model that integrates nutritional status and disease severity could accurately predict mortality risk and classify critically ill patients into low- and high-risk groups. Additionally, in critically ill patients placed on exclusive nutritional support (ENS), we hypothesized that their risk categories could modify the association between dose of nutrition support and mortality risk. METHODS: A prognostic model that predicts 28-day mortality was built from a prospective cohort study of 440 patients. The association between dose of nutrition support and mortality risk was evaluated in a subgroup of 252 mechanically ventilated patients via logistic regressions, stratified by low- and high-risk groups, and days of exclusive nutritional support (ENS) [short-term (≤ 6 days) vs. longer-term (≥ 7 days)]. Only the first 6 days of ENS was evaluated for a fair comparison. RESULTS: The prognostic model demonstrated good discrimination [AUC 0.78 (95% CI 0.73–0.82), and a bias-corrected calibration curve suggested fair accuracy. In high-risk patients with short-term ENS (≤ 6 days), each 10% increase in goal energy and protein intake was associated with an increased adjusted odds (95% CI) of 28-day mortality [1.60 (1.19–2.15) and 1.47 (1.12–1.86), respectively]. In contrast, each 10% increase in goal protein intake during the first 6 days of ENS in high-risk patients with longer-term ENS (≥ 7 days) was associated with a lower adjusted odds of 28-day mortality [0.75 (0.57–0.99)]. Despite the opposing associations, the mean predicted mortality risks and prevalence of malnutrition between short- and longer-term ENS patients were similar. CONCLUSIONS: Combining baseline nutritional status and disease severity in a prognostic model could accurately predict 28-day mortality. However, the association between the dose of nutrition support during the first 6 days of ENS and 28-day mortality was independent of baseline disease severity and nutritional status

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Singapore multidisciplinary consensus recommendations on muscle health in older adults: assessment and multimodal targeted intervention across the continuum of care

10.1186/s12877-021-02240-8BMC Geriatrics21131

When timing and dose of nutrition support were examined, the modified Nutrition Risk in Critically Ill (mNUTRIC) score did not differentiate high-risk patients who would derive the most benefit from nutrition support: a prospective cohort study

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creat iveco mmons .org/licen ses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.Background: The timing and dose of exclusive nutrition support (ENS) have not been investigated in previous studies aimed at validating the modified Nutrition Risk in Critically Ill (mNUTRIC) score. We therefore evaluated the mNUTRIC score by determining the association between dose of nutrition support and 28-day mortality in high-risk patients who received short- and longer-term ENS (7 days). Methods: A prospective cohort study included data from 252 adult patients with >48h of mechanical ventilation in a tertiary care institution in Singapore. The dose of nutrition support (amount received/goal: expressed in percentage) was calculated for a maximum of 14 days. Associations between the dose of energy (and protein) intake and 28-day mortality were evaluated with multivariable Cox regressions. Since patients have different durations of ENS, only the first 6 days of ENS in patients with short- and longer-term ENS were assessed in the Cox regressions to ensure a valid comparison of the associations between energy (and protein) intake and 28-day mortality. Results: In high-risk patients with short-term ENS (n=106), each 10% increase in goal energy intake was associated with an increased hazard of 28-day mortality [adj-HR 1.37 (95% CI 1.17, 1.61)], and this was also observed for protein intake [adj-HR 1.31 (95% CI 1.10, 1.56)]. In contrast, each 10% increase in goal protein intake in high-risk patients with longer-term ENS (n=146) was associated with a lower hazard of 28-day mortality [adj-HR 0.78 (95% CI 0.66, 0.93)]. The mean mNUTRIC scores in these two groups of patients were similar. Conclusion: When timing and dose of nutrition support were examined, the mNUTRIC did not differentiate high-risk patients who would derive the most benefit from nutrition support.The study was funded by the JurongHealth Internal Research & Development (R&D) Grant

Association between malnutrition and clinical outcomes in the intensive care unit: a systematic review

Malnutrition is associated with poor clinical outcomes among hospitalized patients. However, studies linking malnutrition with poor clinical outcomes in the intensive care unit (ICU) often have conflicting findings due in part to the inappropriate diagnosis of malnutrition. We primarily aimed to determine whether malnutrition diagnosed by validated nutrition assessment tools such as the Subjective Global Assessment (SGA) or Mini Nutritional Assessment (MNA) is independently associated with poorer clinical outcomes in the ICU and if the use of nutrition screening tools demonstrate a similar association. PubMed, CINAHL, Scopus, and Cochrane Library were systematically searched for eligible studies. Search terms included were synonyms of malnutrition, nutritional status, screening, assessment, and intensive care unit. Eligible studies were case-control or cohort studies that recruited adults in the ICU; conducted the SGA, MNA, or used nutrition screening tools before or within 48 hours of ICU admission; and reported the prevalence of malnutrition and relevant clinical outcomes including mortality, length of stay (LOS), and incidence of infection (IOI). Twenty of 1168 studies were eligible. The prevalence of malnutrition ranged from 38% to 78%. Malnutrition diagnosed by nutrition assessments was independently associated with increased ICU LOS, ICU readmission, IOI, and the risk of hospital mortality. The SGA clearly had better predictive validity than the MNA. The association between malnutrition risk determined by nutrition screening was less consistent. Malnutrition is independently associated with poorer clinical outcomes in the ICU. Compared with nutrition assessment tools, the predictive validity of nutrition screening tools were less consistent.Charles Chin Han Lew, Rosalie Yandell, Robert J. L. Fraser, Ai Ping Chua, Mary Foong Fong Chong and Michelle Mille

The impact of using a malnutrition screening tool in a hospital setting: a mixed methods study

Background/Objectives Malnutrition risk screening represents a crucial starting point for the successful management of malnourished patients. This study was conducted to (1) examine the effect of the use of a malnutrition screening tool on process indicators of nutritional care and (2) explore healthcare professionals' perceptions and opinions regarding this tool.Methods A mixed methods design was used. A controlled pretest-posttest study was conducted to carry out quantitative analyses, and semi-structured, qualitative interviews were held. Quantitative data were analysed with descriptive statistics, Chi-squared tests, Student's t-tests and Kruskal-Wallis H tests, using SPSS 23. Qualitative data were analysed by performing a qualitative content analysis using MAXQDA 12. Two comparable hospitals participated in the study, representing one intervention group (IG) and one control group (CG). The Graz Malnutrition Screening Tool (GMS) was implemented and used in the IG for at least 1 month, while the CG received no intervention.Results The use of the screening tool positively correlated with significant improvements in the process indicators of nutritional care after 1 month, in terms of the number of nutritional interventions and the frequency of documentation of the diagnosis and the patient's weight and height. The content of the interviews revealed that nearly all professionals involved perceived the overall screening process positively. Few barriers were identified.Conclusions The results of this study show that the use of a screening tool has a positive, short-term impact on the hospital's process quality of nutritional care. Ongoing efforts are required to sustainably maintain these positive changes. During this process, positive attitudes, nomination of motivated 'opinion-leaders' and concerted management support are helpful facilitators.</p