Osteo-Odonto Queratoprótese o tratamento para o Síndrome de Stevens-Johnson

Introdução : A síndrome de Stevens-Johnson é uma doença de pele grave. É uma doença inflamatória rara geralmente causada pela ingestão de certos tipos de medicamentos. Na maioria dos casos, levará a problemas oculares muito graves que não podem ser tratados com as técnicas convencionais de transplante de córnea. É assim que actua a cirurgia de Osteo-Odonto Queratoprótese. Objectivo : Descrever a técnica de osteo-odonto queratoprótese após a síndrome de Stevens-Johnson para tratar lesões oculares e como evitar complicações. Material e Métodos : Foi realizada uma pesquisa bibliográfica nas bases de dados PubMed entre 2002 e 2022. Foram encontrados 36 artigos e selectionados 14 artigos para os resultados. Resultados : Os artigos demonstram que após a síndrome de Stevens-Johnson, que causa olhos secos e queratinizados, apenas a cirurgia de osteo-odonto queratoprótese é capaz de restaurar a visão. Mas, esta cirurgia pode ter consequências, como o aparecimento do glaucoma e principalmente a reabsorção da lâmina osteo-odonto que pode desencadear endoftalmite posteriormente. Conclusão : A principal indicação para a cirurgia de osteo-odonto queratoprótese é a síndrome de Stevens-Johnson. Ela é capaz de tratar e reabilitar a visão em casos graves de cegueira da córnea. O uso de tomografia por feixe de elétrons ou tomografia computadorizada de feixe cónico tem ajudado a prevenir e limitar complicações futuras

The language network is not engaged in object categorization

The relationship between language and thought is the subject of long-standing debate. One claim states that language facilitates categorization of objects based on a certain feature (e.g. color) through the use of category labels that reduce interference from other, irrelevant features. Therefore, language impairment is expected to affect categorization of items grouped by a single feature (low-dimensional categories, e.g. "Yellow Things") more than categorization of items that share many features (high-dimensional categories, e.g. "Animals"). To test this account, we conducted two behavioral studies with individuals with aphasia and an fMRI experiment with healthy adults. The aphasia studies showed that selective low-dimensional categorization impairment was present in some, but not all, individuals with severe anomia and was not characteristic of aphasia in general. fMRI results revealed little activity in language-responsive brain regions during both low- and high-dimensional categorization; instead, categorization recruited the domain-general multiple-demand network (involved in wide-ranging cognitive tasks). Combined, results demonstrate that the language system is not implicated in object categorization. Instead, selective low-dimensional categorization impairment might be caused by damage to brain regions responsible for cognitive control. Our work adds to the growing evidence of the dissociation between the language system and many cognitive tasks in adults

Development and Reliability of a Measure of Clinician Competence in Providing Illness Management and Recovery

Objective: Illness management and recovery (IMR) is an evidence-based, manualized illness self-management program for people with severe mental illness. This study sought to develop a measure of IMR clinician competence and test its reliability and validity. Methods: Two groups of subject matter experts each independently created a clinician-level IMR competence scale based on the IMR Fidelity Scale and on two unpublished instruments used to evaluate provider competence. The two versions were merged, and investigators used the initial version to independently rate recordings of IMR sessions. Ratings were compared and discussed, discrepancies were resolved, and the scale was revised through 14 iterations. The resulting IMR Treatment Integrity Scale (IT-IS) includes 13 required items and three optional items rated only when the particular skill is attempted. Four independent raters then used the IT-IS to score tapes of 60 IMR sessions and 20 control group sessions. Results: The IT-IS showed excellent interrater reliability (.92). A factor analysis supported a one-factor model that showed good internal consistency. The scale successfully differentiated between IMR and control groups. Reliability and validity of individual items varied widely. Conclusions: The IT-IS is a promising measure of clinician competence in providing IMR. The scale could be used for research and quality assurance and as a supervisory feedback tool. Future research is needed to examine item-level changes, predictive validity of the IT-IS, discriminant validity compared with other more structured interventions, and the reliability and validity of the scale for nongroup IMR

The language network is not engaged in object categorization

The relationship between language and thought is the subject of long-standing debate. One claim states that language facilitates categorization of objects based on a certain feature (e.g. color) through the use of category labels that reduce interference from other, irrelevant features. Therefore, language impairment is expected to affect categorization of items grouped by a single feature (low-dimensional categories, e.g. “Yellow Things”) more than categorization of items that share many features (high-dimensional categories, e.g. “Animals”). To test this account, we conducted two behavioral studies with individuals with aphasia and an fMRI experiment with healthy adults. The aphasia studies showed that selective low-dimensional categorization impairment was present in some, but not all, individuals with severe anomia and was not characteristic of aphasia in general. fMRI results revealed little activity in language-responsive brain regions during both low- and high-dimensional categorization; instead, categorization recruited the domain-general multiple-demand network (involved in wide-ranging cognitive tasks). Combined, results demonstrate that the language system is not implicated in object categorization. Instead, selective low-dimensional categorization impairment might be caused by damage to brain regions responsible for cognitive control. Our work adds to the growing evidence of the dissociation between the language system and many cognitive tasks in adults

A non-coding insertional mutation of Grhl2 causes gene over-expression and multiple structural anomalies including cleft palate, spina bifida and encephalocele

Orofacial clefts, including cleft lip and palate (CL/P), and neural tube defects (NTDs) are among the most common congenital anomalies but knowledge of the genetic basis of these conditions remains incomplete. The extent to which genetic risk factors are shared between CL/P, NTDs and related anomalies is also unclear. While identification of causative genes has largely focused on coding and loss of function mutations, it is hypothesised that regulatory mutations account for a portion of the unidentified heritability. We found that excess expression of Grainyhead-like 2 (Grhl2) not only causes spinal NTDs in Axial defects (Axd) mice, but also multiple additional defects affecting the cranial region. These include orofacial clefts comprising midline cleft lip and palate, abnormalities of the craniofacial bones and frontal and/or basal encephalocele, in which brain tissue herniates through the cranium or into the nasal cavity. To investigate the causative mutation in the Grhl2Axd strain, whole genome sequencing identified an approximately 4 kb LTR retrotransposon insertion which disrupts the non-coding regulatory region, lying approximately 300 base pairs upstream of the 5' UTR. This insertion also lies within a predicted long non-coding RNA, oriented on the reverse strand, which like Grhl2 is over-expressed in Axd (Grhl2Axd) homozygous mutant embryos. Initial analysis of the GRHL2 upstream region in individuals with NTDs or cleft palate revealed rare or novel variants in a small number of cases. We hypothesise that mutations affecting the regulation of GRHL2 may contribute to craniofacial anomalies and NTDs in humans

Everyone on Radio

This adaptation of Everyman was scheduled for production on the main stage in the Kline Theatre of Gettysburg College. With the onset of COVID-19 and the ensuing advent of distance-learning, that could no longer happen, and originally that was a crushing disappointment. But the show must go on, especially when that show is “Everyman,” an especially apt theatrical choice for a pestilential year. Everyman offers exciting possibilities for audio drama, especially considering the play’s emphasis on the internal struggle of the individual facing death; Everyone on Radio attempts to make the most of these aspects of the play. Never willing to blink in the face of doom, the students in this class rose to the occasion with incredible pluck, optimism, and good humor. In particular, Lauren “Helping” Hand, the peer associate for this year’s course, led the pivot to the podcast platform, and this production is as much hers as anyone’s: She was chief cheerleader, coordinator, and executive producer, in tandem with Joey “Magic Fingers” Maguschak, who acted as senior sound engineer and producer

RELICS: Properties of z>5.5 Galaxies Inferred from Spitzer and Hubble Imaging Including A Candidate z~6.8 Strong [OIII] Emitter

We present constraints on the physical properties (including stellar mass, age, and star formation rate) of 207 $6\lesssim z \lesssim8$ galaxy candidates from the Reionization Lensing Cluster Survey (RELICS) and companion Spitzer-RELICS surveys. We measure photometry using T-PHOT and perform spectral energy distribution fitting using EA$z$Y and BAGPIPES. Of the 207 candidates for which we could successfully measure Spitzer fluxes, 23 were demoted to likely low redshift ($z<4$). Among the remaining high redshift candidates, we find intrinsic stellar masses between $1\times10^6\rm{M_{\odot}}$ and $4\times10^9\rm{M_\odot}$, and rest-frame UV absolute magnitudes between $-22.6$ and $-14.5$ mag. While our sample is mostly comprised of $L_{UV}/L^*_{UV}<1$ galaxies, there are a number of brighter objects in the sample, extending to $L_{UV}/L^*_{UV}\sim2$. The galaxies in our sample span approximately four orders of magnitude in stellar mass and star-formation rates, and exhibit ages ranging from maximally young to maximally old. We highlight 11 galaxies which have detections in Spitzer/IRAC imaging and redshift estimates $z\geq6.5$, several of which show evidence for some combination of evolved stellar populations, large contributions of nebular emission lines, and/or dust. Among these is PLCKG287+32-2013, one of the brightest $z\sim7$ candidates known (AB mag 24.9) with a Spitzer 3.6$\mu$m flux excess suggesting strong [OIII] + H-$\beta$ emission ($\sim$1000\AA\ rest-frame equivalent width). We discuss the possible uses and limits of our sample and present a public catalog of Hubble 0.4--1.6$\mu$m + Spitzer 3.6$\mu$m and 4.5$\mu$m photometry along with physical property estimates for all 207 objects in the sample. Because of their apparent brightnesses, high redshifts, and variety of stellar populations, these objects are excellent targets for follow-up with James Webb Space Telescope.Comment: 20 pages, 9 figure

Cannabis use as a potential mediator between childhood adversity and first-episode psychosis: results from the EU-GEI case-control study

Background Childhood adversity and cannabis use are considered independent risk factors for psychosis, but whether different patterns of cannabis use may be acting as mediator between adversity and psychotic disorders has not yet been explored. The aim of this study is to examine whether cannabis use mediates the relationship between childhood adversity and psychosis. Methods Data were utilised on 881 first-episode psychosis patients and 1231 controls from the European network of national schizophrenia networks studying Gene–Environment Interactions (EU-GEI) study. Detailed history of cannabis use was collected with the Cannabis Experience Questionnaire. The Childhood Experience of Care and Abuse Questionnaire was used to assess exposure to household discord, sexual, physical or emotional abuse and bullying in two periods: early (0–11 years), and late (12–17 years). A path decomposition method was used to analyse whether the association between childhood adversity and psychosis was mediated by (1) lifetime cannabis use, (2) cannabis potency and (3) frequency of use. Results The association between household discord and psychosis was partially mediated by lifetime use of cannabis (indirect effect coef. 0.078, s.e. 0.022, 17%), its potency (indirect effect coef. 0.059, s.e. 0.018, 14%) and by frequency (indirect effect coef. 0.117, s.e. 0.038, 29%). Similar findings were obtained when analyses were restricted to early exposure to household discord. Conclusions Harmful patterns of cannabis use mediated the association between specific childhood adversities, like household discord, with later psychosis. Children exposed to particularly challenging environments in their household could benefit from psychosocial interventions aimed at preventing cannabis misuse

Psychological well-being in Europe after the outbreak of war in Ukraine

The Russian invasion of Ukraine on February 24, 2022, has had devastating effects on the Ukrainian population and the global economy, environment, and political order. However, little is known about the psychological states surrounding the outbreak of war, particularly the mental well-being of individuals outside Ukraine. Here, we present a longitudinal experience-sampling study of a convenience sample from 17 European countries (total participants = 1,341, total assessments = 44,894, countries with >100 participants = 5) that allows us to track well-being levels across countries during the weeks surrounding the outbreak of war. Our data show a significant decline in well-being on the day of the Russian invasion. Recovery over the following weeks was associated with an individual’s personality but was not statistically significantly associated with their age, gender, subjective social status, and political orientation. In general, well-being was lower on days when the war was more salient on social media. Our results demonstrate the need to consider the psychological implications of the Russo-Ukrainian war next to its humanitarian, economic, and ecological consequences

A global experience-sampling method study of well-being during times of crisis : The CoCo project

We present a global experience-sampling method (ESM) study aimed at describing, predicting, and understanding individual differences in well-being during times of crisis such as the COVID-19 pandemic. This international ESM study is a collaborative effort of over 60 interdisciplinary researchers from around the world in the “Coping with Corona” (CoCo) project. The study comprises trait-, state-, and daily-level data of 7490 participants from over 20 countries (total ESM measurements = 207,263; total daily measurements = 73,295) collected between October 2021 and August 2022. We provide a brief overview of the theoretical background and aims of the study, present the applied methods (including a description of the study design, data collection procedures, data cleaning, and final sample), and discuss exemplary research questions to which these data can be applied. We end by inviting collaborations on the CoCo dataset