The Traveling Microbiome

Given the recent interest in the human gut microbiome in health and disease, we have undertaken a review of the role of the gut microbiome as it relates to travel. Considering the microbiome as the interface with the external world of the traveler, not only from the perspective of protection from enteric infection by colonization resistance but also the possibility that a traveler’s unique microbiome may place him or her at lesser or greater risk for enteric infection. We review available data on travel, travelers’ diarrhea, and the use of antibiotics as it relates to changes in the microbiome and the acquisition of multi-drug-resistant bacteria and explore the interplay of these factors in the development of dysbiosis and the post-infectious sequelae of TD, specifically PI-IBS. In addition, we explore whether dietary changes in travel affect the gut microbiome in a way which modulates gastrointestinal function and susceptibility to infection and discuss whether pre- or probiotics have any meaningful role in prevention or treatment of TD. Finally, a discussion of important research gaps and opportunities in this area is identified.     

Depression statuses and related predictors in later life: A 10-year follow-up study in Israel

The aim of the current study was to investigate the factors associated with depression statuses in a 10-year follow-up of community-dwelling older adults in Israel. Longitudinal data were used from the Israeli sample of the Survey of Health, Aging and Retirement in Europe, assessing the depressive symptoms in 1042 respondents, aged 50 or above, at three time points: 2004/2005 (Wave I); 2009/2010 (Wave II); and 2014/2015 (Wave III). Multinomial logistic regression was used to determine the relationships among explanatory variables and depression statuses (no-depression, intermittent depression, or persistent depression). Some 46.5 % of the participants suffered from intermittent or persistent depression. Five factors were associated with increasing the probability of both intermittent and persistent depression: being female, unemployed, less educated, physically disabled, and in poor health. Five other explanatory variables were associated only with a higher risk for persistent depression: low family income, widowhood, physical inactivity, more than two chronic diseases, and cognitive dysfunction. According to these findings, depression is common among older people in Israel. Low socio-economic status and poor subjective and physical health are significant determinants of depression statuses over time, underlining the importance of taking measures to improve these conditions in order to reduce the risk of depression in old age.     

Clinical Application of Spine Trabecular Bone Score (TBS)

Trabecular bone score (TBS) is a software program recently approved by the US Food and Drug Administration for post-acquisition processing of lumbar spine dual-energy X-ray absorptiometry images that allows assessment of bone texture as a surrogate for bone microarchitecture. Low TBS values are associated with increased risk of major osteoporotic fracture risk in postmenopausal women and men aged 40 years and older independent of BMD. TBS data can be used to adjust FRAX probability of fracture. As such, TBS data can be useful in osteoporosis treatment initiation decisions. Following treatment initiation, TBS increases are smaller than seen with BMD; at present, there is insufficient evidence that TBS can be used to monitor treatment. TBS may be particularly helpful in fracture risk prediction for those with diabetes mellitus or receiving glucocorticoid therapy, but additional validation of existing observations is needed. In summary, TBS should not be used alone to guide treatment initiation, but can be used with FRAX to estimate fracture probability in postmenopausal women and older men, thereby facilitating treatment initiation decisions.     

Evaluation of Sarcopenia by DXA

There are four body composition phenotypes widely used to describe older adults: normal, sarcopenic, obese, and sarcopenic obese. In this paper, we will discuss how DXA can be used to quantify body composition and how DXA can identify patients with sarcopenia and sarcopenic obesity.     

Should MRAs be at the front row in heart failure? A plea for the early use of mineralocorticoid receptor antagonists in medical therapy for heart failure based on clinical experience

The brand new 2016 ESC guidelines for the treatment of acute and chronic heart failure continue to give a prominent place to mineralocorticoid receptor antagonists in the treatment of chronic heart failure with reduced ejection fraction (HFrEF). In the prevention of HF hospitalization and death, a class I, level of recommendation A, is given to MRAs for patients with HFrEF, who remain symptomatic despite treatment with an ACE-inhibitor and a beta-blocker and have an LVEF below 35 %. This recommendation is primarily based on two landmark trials, the RALES trial (for spironolactone) and the EMPHASIS-HF trial (for eplerenone). A crucial question is, however, why MRAs are advised only in “third place,” i.e., after optimal up-titration of ACE-inhibitors and beta-blockers. We wonder whether MRAs could not or should not be given earlier in the treatment of HFrEF, namely before or together with the up-titration of ACE-inhibitors and beta-blockers. Several arguments to support this plea are described in this short paper.     

Soziale Netzwerkanalyse und das soziale Atom

This article in the Zeitschrift für Psychodrama und Soziometrie shows how modern Network Analysis, partly rooting in Moreno’s work may become more effective in transforming social contexts by recalling some aspects of Moreno’s pioneering work. Over the last few decades modern network analysis has developed into a powerful and differentiated instrument for relationship analytics, while increasingly lacking the ability to put results into context, so analyses often remain mere data.It seems inevitable to go back to the basics of Moreno’s pioneering work: only this enables to put things into a meaningful context, that insights become operative and to recognize networks as spaces for encounters again and thus as spaces for creativity and therapy. Both in Moreno’s time and nowadays there is much at stake: then and now we run the risk to lose these spaces of creativity, these spaces of healing.     

Brain Multimodality Monitoring: Updated Perspectives

The challenges posed by acute brain injury (ABI) involve the management of the initial insult in addition to downstream inflammation, edema, and ischemia that can result in secondary brain injury (SBI). SBI is often subclinical, but can be detected through physiologic changes. These changes serve as a surrogate for tissue injury/cell death and are captured by parameters measured by various monitors that measure intracranial pressure (ICP), cerebral blood flow (CBF), brain tissue oxygenation (PbtO₂), cerebral metabolism, and electrocortical activity. In the ideal setting, multimodality monitoring (MMM) integrates these neurological monitoring parameters with traditional hemodynamic monitoring and the physical exam, presenting the information needed to clinicians who can intervene before irreversible damage occurs. There are now consensus guidelines on the utilization of MMM, and there continue to be new advances and questions regarding its use. In this review, we examine these recommendations, recent evidence for MMM, and future directions for MMM.     

Target Tracking Based on Biological-Like Vision Identity via Improved Sparse Representation and Particle Filtering

To effectively track targets under partial occlusion and illumination variation, an improved target tracking method based on combination of sparse representation and particle filtering is proposed in this paper. We regard the candidate target particle set as redundant dictionary and the target template as observation signal to reduce the computational complexity and enhance the real-time performance of target tracking. Besides, to enhance tracking robustness for better adaption to illumination and occlusion, the density histogram, local binary pattern feature fusion, trivial templates and energy control parameters are also utilized in this study. Finally, extensive simulation experiments under different circumstances show that the proposed method performs better compared with other methods, and the average computation time decreases greatly.