Aspectos radiográficos e da microvasculatura do músculo esternocleidomastóideo pelo pelo ramo da artéria occipital

A contribuição do ramo esternocleidomastóideo da artéria occipital para a irrigação do músculo esternocleidomastóideo foi avaliada em cadáveres humanos não fixados, através da injeção de contraste radiográfico e de resina polimerizável para estudo da microvasculatura. O músculo foi dividido nos terços superior, médio e inferior, a partir da sua inserção no processo mastóideo do osso temporal. Na maioria dos músculos, o pedículo superior apresentou-se formado por dois ramos paralelos longitudinais. Em todos os casos, o contraste radiográfico atingiu ou ultrapassou a parte média do músculo. Na parte mais distal do terço inferior, há pouca ou nenhuma contribuição do pedículo superior para a irrigação dessa região muscular sugerindo a contribuição de outros vasos para a sua irrigação. Os modelos de corrosão demonstraram a presença de uma profusa rede vascular no interior do músculo.The contribution of the sternocleidomastoid branch of the occipital artery (superior arterial pedicle - SAP) to the irrigation of the sternocleidomastoid muscle (SCM) was evaluated in fresh human cadavers by injecting radiological dye and a resin for microvasculature corrosion casts. From its insertion in the mastoid process of the temporal bone, the SCM was divided into superior, medium, and inferior thirds. In most of the SCM, The SAP are formed by two longitudinal parallel branches. In all specimens, the radiological dye injected into the SAP reached or trespassed the middle part of the studied SCM. The SAP was poorly distributed in the lowermost region of the inferior third of the SCM, suggesting the contribution of other arteries or pedicles. The corrosion casts of the microvasculature showed a profuse network of microscopic vessels in those levels where the SAP was detected

Reengagement of HIV-infected children lost to follow-up after active mobile phone tracing in a rural area of Mozambique

Introduction: Retention in care and reengagement of lost to follow-up (LTFU) patients are priority challenges in pediatric HIV care. We aimed to assess whether a telephone-call active tracing program facilitated reengagement in care (RIC) in the Manhiça District Hospital, Mozambique. Methods: Telephone tracing of LTFU children was performed from July 2016 to March 2017. Both ART (antiretroviral treatment) and preART patients were included in this study. LTFU was defined as not attending the clinic for ≥120 days after last attended visit. Reengagement was determined 3 months after an attempt to contact. Results: A total of 144 children initially identified as LTFU entered the active tracing program and 37 were reached by means of telephone tracing. RIC was 57% (95% CI, 39–72%) among children who could be reached versus 18% (95% CI, 11–26%) of those who could not be reached (p = 0.001). Conclusion: Telephone tracing could be an effective tool for facilitating reengagement in pediatric HIV care. However, the difficulty of reaching patients is an obstacle that can undermine the program

Loss to follow-up and opportunities for reengagement in HIV care in rural Mozambique: A prospective cohort study.

"Patients lost to follow-up (LTFU) over the human immunodeficiency virus (HIV) cascade have poor clinical outcomes and contribute to onward HIV transmission. We assessed true care outcomes and factors associated with successful reengagement in patients LTFU in southern Mozambique.Newly diagnosed HIV-positive adults were consecutively recruited in the Manhi\xC3\xA7a District. Patients LTFU within 12 months after HIV diagnosis were visited at home from June 2015 to July 2016 and interviewed for ascertainment of outcomes and reasons for LTFU. Factors associated with reengagement in care within 90 days after the home visit were analyzed by Cox proportional hazards model.Among 1122 newly HIV-diagnosed adults, 691 (61.6%) were identified as LTFU. Of those, 557 (80.6%) were approached at their homes and 321 (57.6%) found at home. Over 50% had died or migrated, 10% had been misclassified as LTFU, and 252 (78.5%) were interviewed. Following the visit, 79 (31.3%) reengaged in care. Having registered in care and a shorter time between LTFU and visit were associated with reengagement in multivariate analyses: adjusted hazards ratio of 3.54 [95% confidence interval (CI): 1.81-6.92; P\xE2\x80\x8A<\xE2\x80\x8A.001] and 0.93 (95% CI: 0.87-1.00; P\xE2\x80\x8A=\xE2\x80\x8A.045), respectively. The most frequently reported barriers were the lack of trust in the HIV-diagnosis, the perception of being in good health, and fear of being badly treated by health personnel and differed by type of LTFU.Estimates of LTFU in rural areas of sub-Saharan Africa are likely to be overestimated in the absence of active tracing strategies. Home visits are resource-intensive but useful strategies for reengagement for at least one-third of LTFU patients when applied in the context of differentiated care for those LTFU individuals who had already enrolled in HIV care at some point.

Tipping the balance towards long-term retention in the HIV care cascade: A mixed methods study in southern Mozambique

BACKGROUND: The implementation of quality HIV control programs is crucial for the achievement of the UNAIDS 90-90-90 targets and to motivate people living with HIV (PLWHIV) to link and remain in HIV-care. The aim of this mixed method cross-sectional study was to estimate the linkage and long-term retention in care of PLWHIV and to identify factors potentially interfering along the HIV-care continuum in southern Mozambique. METHODS: A home-based semi-structured interview was conducted in 2015 to explore barriers and facilitators to the HIV-care cascade among individuals that had been newly HIV-diagnosed in community testing campaigns in 2010 or 2012. Linkage and long-term retention were estimated retrospectively through client self-reports and clinical records. Cohen's Kappa coefficient was calculated to measure the agreement between participant self-reported and documented cascade outcomes. RESULTS: Among the 112 interviewed participants, 24 (21.4%) did not disclose their HIV-positive serostatus to the interviewer. While 84 (75.0%) self-reported having enrolled in care, only 69 (61.6%) reported still being in-care 3-5 years after diagnosis of which 17.4% reported having disengaged and re-engaged. An important factor affecting optimal continuum in HIV-care was the impact of the fear-based authoritarian relationship between the health system and the patient that could act as both driver and barrier. CONCLUSION: Special attention should be given to quantify and understand repeated cycles of patient disengagement and re-engagement in HIV-care. Strategies to improve the relationship between the health system and patients are still needed in order to optimally engage PLWHIV for long-term periods.The author(s) received no specific funding for this work.S

Pediatric HIV care cascade in southern mozambique: Missed opportunities for early ART and re-engagement in care

© 2020 Wolters Kluwer Health, Inc. All rights reserved. Background: There are 170,000 children living with HIV in 2017 in Mozambique. Scaling-up HIV care requires effective retention along the cascade. We sought to evaluate the pediatric cascade in HIV care at the Manhiça District Hospital. Methods: A prospective cohort of children <15 years was followed from enrollment in HIV care (January 2013 to December 2015) until December 2016. Loss to follow-up (LTFU) was defined as not attending the HIV hospital visits for ≥90 days following last visit attended. Results: From the 438 children included {median age at enrollment in care of 3,6 [interquartile range (IQR): 1.1-8.6] years}, 335 (76%) were antiretroviral therapy (ART) eligible and among those, 263 (78%) started ART at enrollment in HIV care. A total of 362 children initiated ART during the study period and the incidence rate of LTFU at 12, 24, and 36 months post-ART initiation was 41 [95% confidence interval (CI): 34-50], 34 (95% CI: 29-41), and 31 (95% CI: 27-37) per 100 children-years, respectively. Median time to LTFU was 5.8 (IQR: 1.4-12.7) months. Children 5-9 years of age had a lower risk of LTFU compared with children <1 year [adjusted subhazard ratio 0.36 (95% CI: 0.20-0.61)]. Re-engagement in care (RIC) was observed in 25% of the LTFU children. Conclusions: The high LTFU found in this study highlights the special attention that should be given to younger children during the first 6 months post-ART initiation to prevent LTFU. Once LTFU, only a quarter of those children return to the health unit. Elucidating factors associated with RIC could help to fine tune interventions which promote RIC

Photography-based taxonomy is inadequate, unnecessary, and potentially harmful for biological sciences

The question whether taxonomic descriptions naming new animal species without type specimen(s) deposited in collections should be accepted for publication by scientific journals and allowed by the Code has already been discussed in Zootaxa (Dubois & Nemésio 2007; Donegan 2008, 2009; Nemésio 2009a–b; Dubois 2009; Gentile & Snell 2009; Minelli 2009; Cianferoni & Bartolozzi 2016; Amorim et al. 2016). This question was again raised in a letter supported by 35 signatories published in the journal Nature (Pape et al. 2016) on 15 September 2016. On 25 September 2016, the following rebuttal (strictly limited to 300 words as per the editorial rules of Nature) was submitted to Nature, which on 18 October 2016 refused to publish it. As we think this problem is a very important one for zoological taxonomy, this text is published here exactly as submitted to Nature, followed by the list of the 493 taxonomists and collection-based researchers who signed it in the short time span from 20 September to 6 October 2016

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

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements

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