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排序方式: 共有4318条查询结果,搜索用时 15 毫秒
91.
92.
Timothy W. Farrell MD AGSF Leslie Francis PhD JD Teneille Brown JD Lauren E. Ferrante MD MHS Eric Widera MD Ramona Rhodes MD MPH MSCS AGSF Tony Rosen MD MPH Ula Hwang MD MPH Leah J. Witt MD Niranjan Thothala MD MRCP MBA Shan W. Liu MD SD Caroline A. Vitale MD AGSF Ursula K. Braun MD MPH Caroline Stephens PhD RN GNP-BC Debra Saliba MD MPH AGSF 《Journal of the American Geriatrics Society》2020,68(6):1143-1149
Coronavirus disease 2019 (COVID-19) continues to impact older adults disproportionately with respect to serious consequences ranging from severe illness and hospitalization to increased mortality risk. Concurrently, concerns about potential shortages of healthcare professionals and health supplies to address these issues have focused attention on how these resources are ultimately allocated and used. Some strategies, for example, misguidedly use age as an arbitrary criterion that disfavors older adults in resource allocation decisions. This is a companion article to the American Geriatrics Society (AGS) position statement, “Resource Allocation Strategies and Age-Related Considerations in the COVID-19 Era and Beyond.” It is intended to inform stakeholders including hospitals, health systems, and policymakers about ethical considerations that should be considered when developing strategies for allocation of scarce resources during an emergency involving older adults. This review presents the legal and ethical background for the position statement and discusses these issues that informed the development of the AGS positions: (1) age as a determining factor, (2) age as a tiebreaker, (3) criteria with a differential impact on older adults, (4) individual choices and advance directives, (5) racial/ethnic disparities and resource allocation, and (6) scoring systems and their impact on older adults. It also considers the role of advance directives as expressions of individual preferences in pandemics. J Am Geriatr Soc 68:1143–1149, 2020. 相似文献
93.
Disability is part of life for most contemporary families, but to date the literature on disability in families is fragmented and narrow. This editorial commentary introduces the content and findings of peer‐reviewed articles appearing in a special issue of Family Relations. The editors outline unanswered but core research questions and preview the themes present in the issue: families with disabilities are diverse; economic hardship disproportionately characterizes their lives; family life with disabilities is a journey that includes stress and resilience, with support contributing significantly to the latter; and that work benefits and taxes family life. Articles extrapolate beyond findings to explore implications for family policy and practice. The editors assert that developing understanding of how disability influences families requires a more diverse and rigorous research portfolio. They further cite the need to embed disability as a variable in a range of family studies and advocate more outlets for publication. 相似文献
94.
Jonathan D. Cherry Soong Ho Kim Thor D. Stein Morgan J. Pothast Raymond Nicks Gaoyuan Meng Bertrand R. Huber Jesse Mez Michael L. Alosco Yorghos Tripodis Kurt Farrell Victor E. Alvarez Ann C. McKee John F. Crary 《Brain pathology (Zurich, Switzerland)》2020,30(5):913-925
Chronic traumatic encephalopathy (CTE) is a neurodegenerative tauopathy characterized by accumulation of hyperphosphorylated tau (p‐tau) in perivascular aggregates in neurons and glia at the depths of neocortical sulci and progresses to diffuse neocortical, allocortical and brainstem structures. The strongest risk factor is exposure to repetitive head impacts acquired most commonly through contact sports and military service. Given that CTE can only be definitively diagnosed after death, a better understanding of the cellular and molecular changes in CTE brains may lead to identification of mechanisms that could be used for novel biomarkers, monitoring progression or therapeutic development. Disruption of alternative pre‐mRNA splicing of tau mRNA plays a pathogenic role in tauopathy, with multiple characteristic patterns of isoform accumulation varying among tauopathies. Limited data are available on CTE, particularly at early stages. Using biochemical and histological approaches, we performed a detailed characterization of tau isoform signatures in post‐mortem human brain tissue from individuals with a range of CTE stages (n = 99). In immunoblot analyses, severity was associated with decreased total monomeric tau and increased total oligomeric tau. Immunoblot with isoform‐specific antisera revealed that oligomeric tau with three and four microtubule binding domain repeats (3R and 4R) also increased with CTE severity. Similarly, immunohistochemical studies revealed p‐tau accumulation consisting of both 3R and 4R in perivascular lesions. When the ratio of 4R:3R was analyzed, there was mixed expression throughout CTE stages, although 4R predominated in early CTE stages (I‐II), a 3R shift was observed in later stages (III‐IV). While neurons were found to contain both 3R and 4R, astrocytes only contained 4R. These 4R‐positive cells were exclusively neuronal at early stages. Overall, these findings demonstrate that CTE is a mixed 4R/3R tauopathy. Furthermore, histologic analysis reveals a progressive shift in tau isoforms that correlates with CTE stage and extent of neuronal pathology. 相似文献
95.
96.
Virginia Blakey Jane Frankland Deryl Dix Michael Farrell 《British Journal of Learning Disabilities》1996,24(4):150-153
This paper presents an evaluation of the experience of parents of children with learning disabilities who took part in workshops focusing on the sex education needs of parents. Parents' concerns prior to the workshops related particularly to dealing with menstruation and masturbation, and to protecting their children from sexual abuse. The workshop experience gave parents greater awareness of their children's sexual needs and feelings, as well as new and relevant information. A major benefit of attendance at the workshops was the support which parents gained from each other. Issues which need to be addressed to maximise the impact of such workshops include increasing the numbers of parents who attend; ensuring that emotive and painful topics are sensitively facilitated; and the production of suitable sex education resources for parents to use with young people with learning disabilities. 相似文献
97.
Arun James Thirunavukarasu Deborah Mullinger Remi Mohan Rufus-Toye Sarah Farrell Louise E. Allen 《Eye (London, England)》2022,36(10):2057
Background/ObjectivesOphthalmic disorders cause 8% of hospital clinic attendances, the highest of any specialty. The fundamental need for a distance visual acuity (VA) measurement constrains remote consultation. A web-application, DigiVis, facilitates self-assessment of VA using two internet-connected devices. This prospective validation study aimed to establish its accuracy, reliability, usability and acceptability.Subjects/MethodsIn total, 120 patients aged 5–87 years (median = 27) self-tested their vision twice using DigiVis in addition to their standard clinical assessment. Eyes with VA worse than +0.80 logMAR were excluded. Accuracy and test-retest (TRT) variability were compared using Bland–Altman analysis and intraclass correlation coefficients (ICC). Patient feedback was analysed.ResultsBias between VA tests was insignificant at −0.001 (95% CI −0.017 to 0.015) logMAR. The upper limit of agreement (LOA) was 0.173 (95% CI 0.146 to 0.201) and the lower LOA −0.175 (95% CI −0.202 to −0.147) logMAR. The ICC was 0.818 (95% CI 0.748 to 0.869). DigiVis TRT mean bias was similarly insignificant, at 0.001 (95% CI −0.011 to 0.013) logMAR, the upper LOA was 0.124 (95% CI 0.103 to 0.144) and the lower LOA −0.121 (95% CI −0.142 to −0.101) logMAR. The ICC was 0.922 (95% CI 0.887 to 0.946). 95% of subjects were willing to use DigiVis to monitor vision at home.ConclusionsSelf-tested distance VA using DigiVis is accurate, reliable and well accepted by patients. The app has potential to facilitate home monitoring, triage and remote consultation but widescale implementation will require integration with NHS databases and secure patient data storage.Subject terms: Diagnosis, Health services, Eye manifestations 相似文献
98.
Clinical Autonomic Research - 相似文献
99.
Bowen Jin John A. Capra Penelope Benchek Nicholas Wheeler Adam C. Naj Kara L. Hamilton-Nelson John J. Farrell Yuk Yee Leung Brian Kunkle Badri Vadarajan Gerard D. Schellenberg Richard Mayeux Li-San Wang Lindsay A. Farrer Margaret A. Pericak-Vance Eden R. Martin Jonathan L. Haines Dana C. Crawford William S. Bush 《Genome research》2022,32(4):778
More than 90% of genetic variants are rare in most modern sequencing studies, such as the Alzheimer''s Disease Sequencing Project (ADSP) whole-exome sequencing (WES) data. Furthermore, 54% of the rare variants in ADSP WES are singletons. However, both single variant and unit-based tests are limited in their statistical power to detect an association between rare variants and phenotypes. To best use missense rare variants and investigate their biological effect, we examine their association with phenotypes in the context of protein structures. We developed a protein structure–based approach, protein optimized kernel evaluation of missense nucleotides (POKEMON), which evaluates rare missense variants based on their spatial distribution within a protein rather than their allele frequency. The hypothesis behind this test is that the three-dimensional spatial distribution of variants within a protein structure provides functional context to power an association test. POKEMON identified three candidate genes (TREM2, SORL1, and EXOC3L4) and another suggestive gene from the ADSP WES data. For TREM2 and SORL1, two known Alzheimer''s disease (AD) genes, the signal from the spatial cluster is stable even if we exclude known AD risk variants, indicating the presence of additional low-frequency risk variants within these genes. EXOC3L4 is a novel AD risk gene that has a cluster of variants primarily shared by case subjects around the Sec6 domain. This cluster is also validated in an independent replication data set and a validation data set with a larger sample size.High-throughput DNA sequencing of diverse humans has identified millions of genetic variants, the vast majority of which are exceptionally rare. A survey of ∼60,000 individuals from the Exome Aggregation Consortium (ExAC) found that out of ∼7 million variants, 99% have a frequency <1% and 54% are singletons (Taliun et al. 2021). Similarly, in the Alzheimer''s Disease Sequencing Project (ADSP) whole-exome sequencing (WES) of ∼10,000 individuals, 97% of identified variants have a minor allele frequency <1%, and 23% are singletons (Butkiewicz et al. 2018). However, the effect of most rare variants on diseases of interest remains unknown because of insufficient statistical power to detect the associations between these variants and phenotypes.We hypothesized that rare missense variants contribute to common diseases by disrupting the protein function and are likely to form clustered or dispersed patterns within protein structures when examined in population-based studies. Therefore, incorporating spatial context will improve rare variant association tests. Prior studies have shown that missense variants show nonrandom patterns in protein structures, such as cancer-associated hotspot regions with a high density of missense somatic mutations (Tokheim et al. 2016). Our group (Sivley et al. 2018) also found that germline causal missense variants for Mendelian diseases show nonrandom patterns in three-dimensional (3D) space. These patterns include clusters that likely reflect disruption of a key functional region and dispersions that likely reflect depletion of variants within a sensitive protein core.To test this hypothesis within sequencing studies of disease traits, we developed a kernel function to quantify genetic similarity among individuals by using protein structure information. When two individuals have different missense variants distal in genomic coordinates but close in 3D protein structure, these individuals will be assigned a high genetic similarity through our kernel function. When applied over an entire data set, our kernel function captures differences in the spatial patterns of rare missense variants among cases and controls or over continuous traits. Using a statistical framework similar to SKAT (Wu et al. 2011), we test the association of rare variants with quantitative and dichotomous phenotypes using this structure-based kernel. We call this approach protein optimized kernel evaluation of missense nucleotides (POKEMON). We validated that POKEMON can identify trait associations with spatial patterns formed by missense variants both in simulation studies and real-world data. 相似文献
100.