Refeeding syndrome is associated with increased mortality in malnourished medical inpatients

Background: Whether the occurrence of refeeding syndrome (RFS), a metabolic condition characterized by electrolyte shifts after initiation of nutritional therapy, has a negative impact on clinical outcomes remains ill-defined. We prospectively investigated a subgroup of patients included in a multicentre, nutritional trial (EFFORT) for the occurrence of RFS. Methods: In this secondary analysis of a randomized-controlled trial investigating the effects of nutritional support in malnourished medical inpatients, we prospectively screened patients for RFS and classified them as "RFS confirmed" and "RFS not confirmed" based on predefined criteria (i.e. electrolyte shifts, clinical symptoms, clinical context, and patient history). We assessed associations of RFS and mortality within 180 days (primary endpoint) and other secondary endpoints using multivariable regression analysis. Results: Among 967 included patients, RFS was confirmed in 141 (14.6%) patients. Compared to patients with no evidence for RFS, patients with confirmed RFS had significantly increased 180-days mortality rates (42/141 (29.8%) vs 181/826 (21.9%), adjusted odds ratio (OR) 1.53 (95% CI 1.02 to 2.29), P < .05). Patients with RFS also had an increased risk for ICU admission (6/141 (4.3%) vs 13/826 (1.6%), adjusted OR 2.71 (95% CI 1.01 to 7.27), P < .05) and longer mean length of hospital stays (10.5 ± 6.9 vs 9.0 ± 6.6 days, adjusted difference 1.57 days (95% CI 0.38-2.75), P = .01). Conclusion: A relevant proportion of medical inpatients with malnutrition develop features of RFS upon hospital admission, which is associated with long-term mortality and other adverse clinical outcomes. Further studies are needed to develop preventive strategies for RFS in this patient population

Implementation of peer support for people with severe mental health conditions in high-, middle- and low-income-countries: a theory of change approach

BackgroundStakeholder engagement is essential to the design, implementation and evaluation of complex mental health interventions like peer support. Theory of Change (ToC) is commonly used in global health research to help structure and promote stakeholder engagement throughout the project cycle. Stakeholder insights are especially important in the context of a multi-site trial, in which an intervention may need to be adapted for implementation across very different settings while maintaining fidelity to a core model. This paper describes the development of a ToC for a peer support intervention to be delivered to people with severe mental health conditions in five countries as part of the UPSIDES trial.MethodsOne hundred thirty-four stakeholders from diverse backgrounds participated in a total of 17 workshops carried out at six UPSIDES implementing sites across high-, middle- and low-income settings (one site each in India, Israel, Uganda and Tanzania; two sites in Germany). The initial ToC maps created by stakeholders at each site were integrated into a cross-site ToC map, which was then revised to incorporate additional insights from the academic literature and updated iteratively through multiple rounds of feedback provided by the implementers.ResultsThe final ToC map divides the implementation of the UPSIDES peer support intervention into three main stages: preparation, implementation, and sustainability. The map also identifies three levels of actors involved in peer support: individuals (service users and peer support workers), organisations (and their staff members), and the public. In the UPSIDES trial, the ToC map proved especially helpful in characterising and distinguishing between (a) common features of peer support, (b) shared approaches to implementation and (c) informing adaptations to peer support or implementation to account for contextual differences.ConclusionsUPSIDES is the first project to develop a multi-national ToC for a mental health peer support intervention. Stakeholder engagement in the ToC process helped to improve the cultural and contextual appropriateness of a complex intervention and ensure equivalence across sites for the purposes of a multi-site trial. It may serve as a blueprint for implementing similar interventions with a focus on recovery and social inclusion among people with mental ill-health across diverse settings.Trial registrationISRCTN26008944 (Registration Date: 30/10/2019)

DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features

Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due to the heterogeneity of this disorder. The application of deep learning tools to neuroimaging data, capable of capturing complex non-linear patterns, has the potential to provide diagnostic and predictive biomarkers for MDD. However, previous attempts to demarcate MDD patients and healthy controls (HC) based on segmented cortical features via linear machine learning approaches have reported low accuracies. In this study, we used globally representative data from the ENIGMA-MDD working group containing an extensive sample of people with MDD (N=2,772) and HC (N=4,240), which allows a comprehensive analysis with generalizable results. Based on the hypothesis that integration of vertex-wise cortical features can improve classification performance, we evaluated the classification of a DenseNet and a Support Vector Machine (SVM), with the expectation that the former would outperform the latter. As we analyzed a multi-site sample, we additionally applied the ComBat harmonization tool to remove potential nuisance effects of site. We found that both classifiers exhibited close to chance performance (balanced accuracy DenseNet: 51%; SVM: 53%), when estimated on unseen sites. Slightly higher classification performance (balanced accuracy DenseNet: 58%; SVM: 55%) was found when the cross-validation folds contained subjects from all sites, indicating site effect. In conclusion, the integration of vertex-wise morphometric features and the use of the non-linear classifier did not lead to the differentiability between MDD and HC. Our results support the notion that MDD classification on this combination of features and classifiers is unfeasible

Framework and baseline examination of the German National Cohort (NAKO)

The German National Cohort (NAKO) is a multidisciplinary, population-based prospective cohort study that aims to investigate the causes of widespread diseases, identify risk factors and improve early detection and prevention of disease. Specifically, NAKO is designed to identify novel and better characterize established risk and protection factors for the development of cardiovascular diseases, cancer, diabetes, neurodegenerative and psychiatric diseases, musculoskeletal diseases, respiratory and infectious diseases in a random sample of the general population. Between 2014 and 2019, a total of 205,415 men and women aged 19–74 years were recruited and examined in 18 study centres in Germany. The baseline assessment included a face-to-face interview, self-administered questionnaires and a wide range of biomedical examinations. Biomaterials were collected from all participants including serum, EDTA plasma, buffy coats, RNA and erythrocytes, urine, saliva, nasal swabs and stool. In 56,971 participants, an intensified examination programme was implemented. Whole-body 3T magnetic resonance imaging was performed in 30,861 participants on dedicated scanners. NAKO collects follow-up information on incident diseases through a combination of active follow-up using self-report via written questionnaires at 2–3 year intervals and passive follow-up via record linkages. All study participants are invited for re-examinations at the study centres in 4–5 year intervals. Thereby, longitudinal information on changes in risk factor profiles and in vascular, cardiac, metabolic, neurocognitive, pulmonary and sensory function is collected. NAKO is a major resource for population-based epidemiology to identify new and tailored strategies for early detection, prediction, prevention and treatment of major diseases for the next 30 years. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-022-00890-5

Reproducibility in the absence of selective reporting : An illustration from large-scale brain asymmetry research

Altres ajuts: Max Planck Society (Germany).The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left-right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an "ideal publishing environment," that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes

CA125: a novel cardiac biomarker for infants with congenital diaphragmatic hernia

Background The carbohydrate antigen 125 (CA125) was proven as a robust biomarker for risk stratification in adults with heart failure. This is the first study analyzing CA125 in a cohort of infants with congenital diaphragmatic hernia (CDH). Methods Sixty-eight infants with CDH, treated at the University Children's Hospital Bonn (Germany), between January 2018 and February 2021, were prospectively enrolled for analysis. CA125 values were measured at the following timepoints: 6,12, 24, 48 h, and during ECMO daily from day 1 to day 7. Results In infants not surviving to discharge, CA125 values were significantly higher at day 1 (6, 12, and 24 h). Infants with subsequent need for ECMO presented significantly higher CA125 values at 12 h of life. During ECMO, CA125 values measured at day 1 were significantly higher in infants not surviving to discharge. In the ROC analysis, a CA125 value of >= 10 U/ml was calculated as optimal cut-off for the prediction of ECMO and in-hospital mortality. CA125 values correlated significantly with the severity of PH and ventricular dysfunction. Conclusions CA125 values correlate significantly with echocardiographic markers of PH and ventricular dysfunction and correlate significantly with parameters of disease severity (need for ECMO, mortality). Impact CA125 was proven as robust cardiac biomarker in adult cohorts. Information about the utility as a biomarker in neonatal cohorts is lacking. This is the first study analyzing CA125 as a cardiac biomarker in a cohort of infants with congenital diaphragmatic hernia (CDH). CA125 correlates significantly with markers of echocardiographic assessment (PH and ventricular dysfunction) in infants with CDH and helps to identify infants at high risk for ECMO and in-hospital mortality. The results underline the need for the inclusion of cardiac biomarkers in the clinical routine in neonates at risk for cardiopulmonary failure

Open versus endoscopic bone resection of the dorsolateral calcaneal edge : a cadaveric analysis comparing three dimensional CT scans

BACKGROUND: It has been claimed that endoscopic calcaneoplasty offers some advantages over open techniques in the surgical treatment of Haglund’s deformity due to reduced postoperative complications like stiffness and pain. Bony over-resection places patients at risk of these complications. The resulting question with regard to the quantitative differences of the extent of the bone removed using these two techniques has not yet been answered. The purpose of the study was to determine the resection volume of calcaneal bone for open and endoscopic surgical techniques. METHODS: 16 feet obtained from body donors were operated on in equal parts using either open surgical or endoscopic techniques, with the technique selected on a random basis. High-resolution CT scans were obtained before and after the interventional procedure and analysed to obtain 3-D polygon models. Post-operative models were subtracted from pre-operative models to provide the volume change resulting from the intervention. This was then correlated with the bone mineral density (BMD) of the preparation. RESULTS: The extent of bony resection was greater in open surgical techniques than in endoscopic approaches. The average volume of bone resection was 0.80 (±0.34) cm3 in the endoscopic group and 3.04 (±2.91) cm3 in the group that underwent open surgery. After adjustment for bone mineral density the extent of the resection was significantly larger (p = 0.018) in the group undergoing open surgery. The two groups did not differ significantly with regard to BMD (p > 0.1). The extent of the resection fell by 0.011 cm3 per 1 mg/cm3 areal bone mineral density, i.e., a slightly lower degree of bone resection was associated with a higher bone mineral density. CONCLUSIONS: Assuming that the resection volume was adequate to treat the patient’s complaints a smaller resection volume seen in our study using an endoscopic technique might lead to fewer postoperative complaints and faster recovery