Comparison between surgical sutures and Prineo® in terms of esthetic result and scar formation

INTRODUCTION: Wound healing is a well-organized, directed process of tissue repair. The process can be expedited using topical glues and adhesives, which offer a non-invasive, easily removable alternative to suturing. Furthermore, such products have good tensile strength and involve lower application time. In particular, the Prineo® adhesive is applied to a polyester mesh that covers the wound. METHOD: We carried out a retrospective, cross-sectional study, with subsequent statistical analysis , involving 101 surgical procedures in which wound closure was performed using either nylon sutures or Prineo®. All the procedures were performed between 2012 and 2014. RESULTS: Six patients had contact dermatitis after Prineo® was used, with statistical significance (p = 0.042). Furthermore, Prineo® decreased the rate of scar enlargement (p < 0.05) . There was no statistical difference between the Prineo® and suture groups in terms of scar quality (p = 0.068); in both groups, the scar result was mostly excellent (87 %) to good (27%). CONCLUSION: Patients whose wounds were closed using Prineo® a system involving octyl-2-cyanoacrylate and an associated polyester mesh displayed lower rates of scar enlargement, which depended on whether the thickness of the dermis was satisfactory. However, the same patients had higher rates of contact dermatitis than those whose wounds were closed using surgical sutures. Both groups showed excellent to good scar quality, with no significant difference in terms of esthetic scar results

Assessment of immediate symmetrization in breast reconstruction

INTRODUCTION: The surgical treatment of breast cancer frequently results in mutilation. Breast reconstruction in mastectomized women aims to create a new esthetically acceptable breast symmetrical to the contralateral breast. The objective of this study was to assess the feasibility of symmetrization of the contralateral breast simultaneously with breast reconstruction, discuss possible complications, and perform a brief review of the literature. METHODS: A retrospective study was conducted in the Department of Plastic Surgery of Hospital Daher from October 2013 to February 2015. Breast reconstruction outcomes immediately after mastectomy for breast cancer were assessed, and all patients undergoing symmetrization of the contralateral breast in the same surgical stage using the same surgical technique were selected for inclusion and statistical analysis. RESULTS: The study comprised 42 patients within the established criteria, totaling 21 reconstructions with simultaneous symmetrization (Group 1) and 21 symmetrization procedures in two stages (Group 2). The mean age was 53.86 years in Group 1 and 52.62 years in the control group. The groups were comparable in all variables. Data regarding postoperative complications were analyzed. Some of the studied patients did not complete all stages of reconstruction. The group that underwent immediate symmetrization attained more symmetry. The patients aged 45 years and with lower body mass index attained more symmetry in Group 1. CONCLUSION: The implementation of symmetrization procedures at the same stage of unilateral breast reconstruction is associated with low complication rates and revision surgeries. In selected cases, immediate symmetrization may be preferable to the procedure in another surgical stage

The role of environmental filtering, geographic distance and dispersal barriers in shaping the turnover of plant and animal species in Amazonia

To determine the effect of rivers, environmental conditions, and isolation by distance on the distribution of species in Amazonia. Location: Brazilian Amazonia. Time period: Current. Major taxa studied: Birds, fishes, bats, ants, termites, butterflies, ferns + lycophytes, gingers and palms. We compiled a unique dataset of biotic and abiotic information from 822 plots spread over the Brazilian Amazon. We evaluated the effects of environment, geographic distance and dispersal barriers (rivers) on assemblage composition of animal and plant taxa using multivariate techniques and distance- and raw-data-based regression approaches. Environmental variables (soil/water), geographic distance, and rivers were associated with the distribution of most taxa. The wide and relatively old Amazon River tended to determine differences in community composition for most biological groups. Despite this association, environment and geographic distance were generally more important than rivers in explaining the changes in species composition. The results from multi-taxa comparisons suggest that variation in community composition in Amazonia reflects both dispersal limitation (isolation by distance or by large rivers) and the adaptation of species to local environmental conditions. Larger and older river barriers influenced the distribution of species. However, in general this effect is weaker than the effects of environmental gradients or geographical distance at broad scales in Amazonia, but the relative importance of each of these processes varies among biological groups

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Dementia in Latin America : paving the way towards a regional action plan

Regional challenges faced by Latin American and Caribbean countries (LACs) to fight dementia, such as heterogeneity, diversity, political instabilities, and socioeconomic disparities, can be addressed more effectively grounded in a collaborative setting based on the open exchange of knowledge. In this work, the Latin American and Caribbean Consortium on Dementia (LAC-CD) proposes an agenda for integration to deliver a Knowledge to Action Framework (KtAF). First, we summarize evidence-based strategies (epidemiology, genetics, biomarkers, clinical trials, nonpharmacological interventions, networking and translational research) and align them to current global strategies to translate regional knowledge into actions with transformative power. Then, by characterizing genetic isolates, admixture in populations, environmental factors, and barriers to effective interventions and mapping these to the above challenges, we provide the basic mosaics of knowledge that will pave the way towards a KtAF. We describe strategies supporting the knowledge creation stage that underpins the translational impact of KtAF

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost