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Hong J, Crawford K, Cavanagh E, da Silva Costa F, Kumar S. Placental growth factor and fetoplacental Doppler indices in combination predict preterm birth reliably in pregnancies complicated by fetal growth restriction. Ultrasound Obstet Gynecol 2024; 63:635-643. [PMID: 37820083 DOI: 10.1002/uog.27513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/25/2023] [Accepted: 10/02/2023] [Indexed: 10/13/2023]
Abstract
OBJECTIVE To assess the association between placental biomarkers (placental growth factor (PlGF) and soluble fms-like tyrosine kinase-1 (sFlt-1)/PlGF ratio) and fetoplacental Doppler indices (umbilical artery (UA) pulsatility index (PI) and uterine artery (UtA) PI) in various combinations for predicting preterm birth (PTB) in pregnancies complicated by fetal growth restriction (FGR). METHODS This was a prospective observational cohort study, performed at Mater Mother's Hospital in Brisbane, Queensland, Australia, from May 2022 to June 2023, of pregnancies complicated by FGR and appropriate-for-gestational-age (AGA) pregnancies. Maternal serum PlGF levels, sFlt-1/PlGF ratio, UA-PI and UtA-PI were measured at 2-4-weekly intervals from recruitment until delivery. Harrell's concordance statistic (Harrell's C) was used to evaluate multivariable Cox proportional hazards regression models featuring various combinations of placental biomarkers and fetoplacental Doppler indices to ascertain the best combination to predict PTB (< 37 weeks). Multivariable Cox regression models were used with biomarkers as time-varying covariates. RESULTS The study cohort included 320 singleton pregnancies, comprising 179 (55.9%) affected by FGR, defined according to a Delphi consensus, and 141 (44.1%) with an AGA fetus. In the FGR cohort, both low PlGF levels and elevated sFlt-1/PlGF ratio were associated with significantly shorter time to PTB. Low PlGF was a better predictor of PTB than was either sFlt-1/PlGF ratio or a combination of PlGF and sFlt-1/PlGF ratio (Harrell's C, 0.81, 0.78 and 0.79, respectively). Although both Doppler indices were significantly associated with time to PTB, in combination they were better predictors of PTB than was either UA-PI > 95th centile or UtA-PI > 95th centile alone (Harrell's C, 0.82, 0.75 and 0.76, respectively). Predictive utility for PTB was best when PlGF < 100 ng/L, UA-PI > 95th centile and UtA-PI > 95th centile were combined (Harrell's C, 0.88) (hazard ratio, 32.99; 95% CI, 10.74-101.32). CONCLUSIONS Low maternal serum PlGF level (< 100 ng/L) and abnormal fetoplacental Doppler indices (UA-PI > 95th centile and UtA-PI > 95th centile) in combination have the greatest predictive utility for PTB in pregnancies complicated by FGR. Their assessment may help guide clinical management of these complex pregnancies. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
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Affiliation(s)
- J Hong
- Mater Research Institute, University of Queensland, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
- Department of Obstetrics and Gynecology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - K Crawford
- Mater Research Institute, University of Queensland, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
| | - E Cavanagh
- Mater Research Institute, University of Queensland, South Brisbane, Queensland, Australia
| | - F da Silva Costa
- School of Medicine and Dentistry, Griffith University and Maternal Fetal Medicine Unit, Gold Coast University Hospital, Gold Coast, Queensland, Australia
| | - S Kumar
- Mater Research Institute, University of Queensland, South Brisbane, Queensland, Australia
- Faculty of Medicine, The University of Queensland, Herston, Queensland, Australia
- NHMRC Centre for Research Excellence in Stillbirth, Mater Research Institute, University of Queensland, Brisbane, Queensland, Australia
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Martin Flores N, Podpolny M, McLeod F, Workman I, Crawford K, Ivanov D, Leonenko G, Escott-Price V, Salinas PC. Downregulation of Dickkopf-3, a Wnt antagonist elevated in Alzheimer's disease, restores synapse integrity and memory in a disease mouse model. eLife 2024; 12:RP89453. [PMID: 38285009 PMCID: PMC10945611 DOI: 10.7554/elife.89453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2024] Open
Abstract
Increasing evidence supports a role for deficient Wnt signaling in Alzheimer's disease (AD). Studies reveal that the secreted Wnt antagonist Dickkopf-3 (DKK3) colocalizes to amyloid plaques in AD patients. Here, we investigate the contribution of DKK3 to synapse integrity in healthy and AD brains. Our findings show that DKK3 expression is upregulated in the brains of AD subjects and that DKK3 protein levels increase at early stages in the disease. In hAPP-J20 and hAPPNL-G-F/NL-G-F mouse AD models, extracellular DKK3 levels are increased and DKK3 accumulates at dystrophic neuronal processes around plaques. Functionally, DKK3 triggers the loss of excitatory synapses through blockade of the Wnt/GSK3β signaling with a concomitant increase in inhibitory synapses via activation of the Wnt/JNK pathway. In contrast, DKK3 knockdown restores synapse number and memory in hAPP-J20 mice. Collectively, our findings identify DKK3 as a novel driver of synaptic defects and memory impairment in AD.
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Affiliation(s)
- Nuria Martin Flores
- Department of Cell and Developmental Biology, Division of Biosciences, University College LondonLondonUnited Kingdom
| | - Marina Podpolny
- Department of Cell and Developmental Biology, Division of Biosciences, University College LondonLondonUnited Kingdom
| | - Faye McLeod
- Department of Cell and Developmental Biology, Division of Biosciences, University College LondonLondonUnited Kingdom
| | - Isaac Workman
- Department of Cell and Developmental Biology, Division of Biosciences, University College LondonLondonUnited Kingdom
| | - Karen Crawford
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityCardiffUnited Kingdom
| | - Dobril Ivanov
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityCardiffUnited Kingdom
| | - Ganna Leonenko
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityCardiffUnited Kingdom
| | - Valentina Escott-Price
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff UniversityCardiffUnited Kingdom
- UK Dementia Research Institute, Cardiff UniversityCardiffUnited Kingdom
| | - Patricia C Salinas
- Department of Cell and Developmental Biology, Division of Biosciences, University College LondonLondonUnited Kingdom
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Crawford K, Russell L, Graham S, Turner F. Helping themselves and helping others: how the passage of time influences why mothers with addictions take part in research. Front Psychiatry 2023; 14:1204882. [PMID: 37860169 PMCID: PMC10582753 DOI: 10.3389/fpsyt.2023.1204882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 08/23/2023] [Indexed: 10/21/2023] Open
Abstract
Introduction Women with addiction issues are under-researched, despite previous evidence that women's needs are less understood than men's and that services can overlook gender-specific issues. The majority of women in treatment are mothers and a significant number have contact with child welfare services. The voices of these women are needed to shape and influence evidence-based treatment and service development. Aim To examine reasons and rationale for participation in research in mothers with addiction issues and involvement with the child welfare system. Method Reflexive thematic analysis was used on interview transcripts from two qualitative studies. Individual themes from each study were combined and analysed to develop themes covering both studies and at different timepoints in process of child welfare assessment or removal of child/ren. Results Three themes were identified (1) altruism; (2) personal benefit; and (3) empowerment. These mothers wanted to help with research. However, they also participated with the hope that this might facilitate the return of their children or help them to access support or services. A change over time was evident and, in those further down the line from child removal, there was a stronger want for their voices to be heard in order to advocate for other women and create change in services.
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Crawford K, Del Rio-Tsonis K, Cameron JA, Tanaka E. David L. Stocum (1939-2023). Development 2023; 150:dev202172. [PMID: 37485541 DOI: 10.1242/dev.202172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
David L. Stocum, a scientist whose contributions to and impact on the field of regeneration and developmental biology are legendary, and likely more pervasive than many know, passed away on 21 April 2023. His illustrious career, exploring and characterizing the fundamentals of limb regeneration in salamanders, spanned nearly 60 years. Much of his work dissecting the tissue-level logic of regeneration established the framework for the molecular investigation of regeneration taking place today. His generous spirit as mentor and colleague, encyclopedic understanding of the literature, and enthusiasm for each new discovery and its place within the larger picture of scientific understanding distinguishes him as a giant in the history of regenerative biology. David's career path, the transformative role his teachers and mentors played along the way, and his own role in inspiring the next generation of researchers speaks strongly to the importance and power of basic education to society.
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Affiliation(s)
- Karen Crawford
- Department of Biology, St. Mary's College of Maryland, St. Mary's City, MD 20686, USA
| | - Katia Del Rio-Tsonis
- Department of Biology and Center for Visual Sciences, Miami University, Oxford, OH 45056, USA
| | - Jo Ann Cameron
- School of Molecular & Cellular Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Elly Tanaka
- Research Institute of Molecular Pathology, Vienna Biocenter, 1030 Vienna, Austria
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Crawford K, Leonenko G, Baker E, Grozeva D, Lan-Leung B, Holmans P, Williams J, O'Donovan MC, Escott-Price V, Ivanov DK. Golgi apparatus, endoplasmic reticulum and mitochondrial function implicated in Alzheimer's disease through polygenic risk and RNA sequencing. Mol Psychiatry 2023; 28:1327-1336. [PMID: 36577842 PMCID: PMC10005937 DOI: 10.1038/s41380-022-01926-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 12/12/2022] [Accepted: 12/14/2022] [Indexed: 12/29/2022]
Abstract
Polygenic risk scores (PRS) have been widely adopted as a tool for measuring common variant liability and they have been shown to predict lifetime risk of Alzheimer's disease (AD) development. However, the relationship between PRS and AD pathogenesis is largely unknown. To this end, we performed a differential gene-expression and associated disrupted biological pathway analyses of AD PRS vs. case/controls in human brain-derived cohort sample (cerebellum/temporal cortex; MayoRNAseq). The results highlighted already implicated mechanisms: immune and stress response, lipids, fatty acids and cholesterol metabolisms, endosome and cellular/neuronal death, being disrupted biological pathways in both case/controls and PRS, as well as previously less well characterised processes such as cellular structures, mitochondrial respiration and secretion. Despite heterogeneity in terms of differentially expressed genes in case/controls vs. PRS, there was a consensus of commonly disrupted biological mechanisms. Glia and microglia-related terms were also significantly disrupted, albeit not being the top disrupted Gene Ontology terms. GWAS implicated genes were significantly and in their majority, up-regulated in response to different PRS among the temporal cortex samples, suggesting potential common regulatory mechanisms. Tissue specificity in terms of disrupted biological pathways in temporal cortex vs. cerebellum was observed in relation to PRS, but limited tissue specificity when the datasets were analysed as case/controls. The largely common biological mechanisms between a case/control classification and in association with PRS suggests that PRS stratification can be used for studies where suitable case/control samples are not available or the selection of individuals with high and low PRS in clinical trials.
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Affiliation(s)
- Karen Crawford
- UK Dementia Research Institute (UKDRI) at Cardiff University, College of Biomedical and Life Sciences, Hadyn Ellis Building, Cardiff, CF24 4HQ, UK
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, School of Medicine, Hadyn Ellis Building, Cardiff, CF24 4HQ, UK
| | - Ganna Leonenko
- UK Dementia Research Institute (UKDRI) at Cardiff University, College of Biomedical and Life Sciences, Hadyn Ellis Building, Cardiff, CF24 4HQ, UK
| | - Emily Baker
- UK Dementia Research Institute (UKDRI) at Cardiff University, College of Biomedical and Life Sciences, Hadyn Ellis Building, Cardiff, CF24 4HQ, UK
| | - Detelina Grozeva
- UK Dementia Research Institute (UKDRI) at Cardiff University, College of Biomedical and Life Sciences, Hadyn Ellis Building, Cardiff, CF24 4HQ, UK
- Centre for Trials Research, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Benoit Lan-Leung
- UK Dementia Research Institute (UKDRI) at Cardiff University, College of Biomedical and Life Sciences, Hadyn Ellis Building, Cardiff, CF24 4HQ, UK
| | - Peter Holmans
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, School of Medicine, Hadyn Ellis Building, Cardiff, CF24 4HQ, UK
| | - Julie Williams
- UK Dementia Research Institute (UKDRI) at Cardiff University, College of Biomedical and Life Sciences, Hadyn Ellis Building, Cardiff, CF24 4HQ, UK
| | - Michael C O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, School of Medicine, Hadyn Ellis Building, Cardiff, CF24 4HQ, UK
| | - Valentina Escott-Price
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, School of Medicine, Hadyn Ellis Building, Cardiff, CF24 4HQ, UK
| | - Dobril K Ivanov
- UK Dementia Research Institute (UKDRI) at Cardiff University, College of Biomedical and Life Sciences, Hadyn Ellis Building, Cardiff, CF24 4HQ, UK.
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Turner F, Kainth G, MacDonald S, O'Connor R, Crawford K, Minnis H. "I will commit to this child as much as I can for the time that they are with me:" A qualitative examination of how foster carer commitment relates to short-term foster care for young children following abuse and neglect. Child Abuse Negl 2023; 135:105983. [PMID: 36525826 DOI: 10.1016/j.chiabu.2022.105983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 09/27/2022] [Accepted: 11/26/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND Foster carer commitment to the child has been shown to be of paramount importance in young children's recovery and development following abuse and neglect. In Dozier's definition of commitment in the US, there is a focus on both emotional investment in the child and committing to an enduring relationship with the child. How this relates to the routine practice of short-term, temporary, foster care has not been studied. OBJECTIVE This is the first qualitative study to explore the drivers of, and barriers to, commitment in short-term foster care within the broader aim of examining whether short-term care is meeting the needs of maltreated young children. PARTICIPANTS & SETTING Fourteen foster carers took part in research interviews and five focus groups were conducted with infant mental health professionals. METHODS Interviews and focus group data were subject to qualitative thematic analysis in order to identify patterns of commonality in relation to our research questions. RESULTS Three broad themes pertain to commitment and the meeting of young children's needs in short-term foster care: Influence, Timescales and Choice in the fostering role. These themes were found to house both drivers of, and barriers to, commitment in short-term care, which are influenced by systemic normalisations of fostering practices. CONCLUSIONS The emotional investment facet of commitment is more alive in the 'psyche' of short-term foster care than commitment to an enduring relationship. A long-term outlook for the child may be an undefined facet of commitment that is more akin with short-term placements.
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Affiliation(s)
- Fiona Turner
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
| | - Gary Kainth
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
| | - Sara MacDonald
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
| | - Rory O'Connor
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
| | - Karen Crawford
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
| | - Helen Minnis
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
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Bracher-Smith M, Leonenko G, Baker E, Crawford K, Graham AC, Salih DA, Howell BW, Hardy J, Escott-Price V. Whole genome analysis in APOE4 homozygotes identifies the DAB1-RELN pathway in Alzheimer's disease pathogenesis. Neurobiol Aging 2022; 119:67-76. [PMID: 35977442 PMCID: PMC9548409 DOI: 10.1016/j.neurobiolaging.2022.07.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 07/04/2022] [Accepted: 07/23/2022] [Indexed: 11/20/2022]
Abstract
The APOE-ε4 allele is known to predispose to amyloid deposition and consequently is strongly associated with Alzheimer's disease (AD) risk. There is debate as to whether the APOE gene accounts for all genetic variation of the APOE locus. Another question which remains is whether APOE-ε4 carriers have other genetic factors influencing the progression of amyloid positive individuals to AD. We conducted a genome-wide association study in a sample of 5,390 APOE-ε4 homozygous (ε4ε4) individuals (288 cases and 5102 controls) aged 65 or over in the UK Biobank. We found no significant associations of SNPs in the APOE locus with AD in the sample of ε4ε4 individuals. However, we identified a novel genome-wide significant locus associated to AD, mapping to DAB1 (rs112437613, OR = 2.28, CI = 1.73-3.01, p = 5.4 × 10-9). This identification of DAB1 led us to investigate other components of the DAB1-RELN pathway for association. Analysis of the DAB1-RELN pathway indicated that the pathway itself was associated with AD, therefore suggesting an epistatic interaction between the APOE locus and the DAB1-RELN pathway.
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Affiliation(s)
- Matthew Bracher-Smith
- Division of Psychological Medicine & Clinical Neurosciences, Cardiff University, Cardiff, UK; Dementia Research Institute, Cardiff University, Cardiff, UK
| | - Ganna Leonenko
- Dementia Research Institute, Cardiff University, Cardiff, UK
| | - Emily Baker
- Dementia Research Institute, Cardiff University, Cardiff, UK
| | - Karen Crawford
- Division of Psychological Medicine & Clinical Neurosciences, Cardiff University, Cardiff, UK
| | | | - Dervis A Salih
- Dementia Research Institute, University College London, UK
| | - Brian W Howell
- Neuroscience and Physiology, State University of New York, Albany, NY, USA
| | - John Hardy
- Dementia Research Institute, University College London, UK.
| | - Valentina Escott-Price
- Division of Psychological Medicine & Clinical Neurosciences, Cardiff University, Cardiff, UK.
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Turner F, Venturini E, Kainth G, Crawford K, O'Connor R, Balestrieri M, MacDonald S, Minnis H. The expected and the unexpected in recovery and development after abuse and neglect: The role of early foster carer commitment on young children's symptoms of attachment disorders and mental health problems over time. Child Abuse Negl 2022; 127:105585. [PMID: 35279447 DOI: 10.1016/j.chiabu.2022.105585] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 02/24/2022] [Accepted: 03/02/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND Whilst we know that foster care is better than institutional care for abused and neglected children, we know less about the specific qualities of foster care that are important for their development and recovery from maltreatment effects. OBJECTIVE This is the first study to investigate the effects of foster carer commitment on symptoms of Attachment Disorders (AD) and mental health problems in young children post-maltreatment. PARTICIPANTS & SETTING 144 children, age 0-5, recently accommodated into foster care as part of an ongoing Randomised Controlled Trial. METHODS Children were assessed using the Disturbances of Attachment Interview and the Strengths and Difficulties Questionnaire, then followed up 15 months and 2.5 years thereafter. Commitment of the foster carer was measured by 'This Is My Baby' interview. Multiple regression was used to analyse the data. RESULTS Higher initial foster carer commitment, measured shortly after entry to care, was associated with a reduction in Reactive Attachment Disorder symptoms 15 months after placement, with a modest (non-significant) association persisting 2.5 years later. Initial commitment was not associated with symptoms of Disinhibited Social Engagement Disorder at any follow-up time point, nor with symptoms of mental health problems at 15 months. However, higher initial commitment was unexpectedly associated with higher mental health symptom scores at 2.5 years post-accommodation. CONCLUSIONS This study highlights the complex and non-linear development of children in committed foster care, underscoring the need to examine multiple time-points and to consider symptoms of Attachment Disorders separately from those of other mental health problems.
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Affiliation(s)
- Fiona Turner
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
| | | | - Gary Kainth
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
| | - Karen Crawford
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
| | - Rory O'Connor
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
| | | | - Sara MacDonald
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
| | - Helen Minnis
- Institute of Health & Wellbeing, University of Glasgow, Glasgow, UK.
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Crawford K, Fitzpatick B, McMahon L, Forde M, Miller S, McConnachie A, Messow M, Henderson M, McIntosh E, Boyd K, Ougrin D, Wilson P, Watson N, Minnis H. The Best Services Trial (BeST?): a cluster randomised controlled trial comparing the clinical and cost-effectiveness of New Orleans Intervention Model with services as usual (SAU) for infants and young children entering care. Trials 2022; 23:122. [PMID: 35130937 PMCID: PMC8819875 DOI: 10.1186/s13063-022-06007-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 01/04/2022] [Indexed: 11/12/2022] Open
Abstract
Background Abused and neglected children are at increased risk of health problems throughout life, but negative effects may be ameliorated by nurturing family care. It is not known whether it is better to place these children permanently with substitute (foster or adoptive) families or to attempt to reform their birth families. Previously, we conducted a feasibility randomised controlled trial (RCT) of the New Orleans Intervention Model (NIM) for children aged 0–60 months coming into foster care in Glasgow. NIM is delivered by a multidisciplinary health and social care team and offers families, whose child has been taken into foster care, a structured assessment of family relationships followed by a trial of treatment aiming to improve family functioning. A recommendation is then made for the child to return home or for adoption. In the feasibility RCT, families were willing to be randomised to NIM or optimised social work services as usual and equipoise was maintained. Here we present the protocol of a substantive RCT of NIM including a new London site. Methods The study is a multi-site, pragmatic, single-blind, parallel group, cluster randomised controlled superiority trial with an allocation ratio of 1:1. We plan to recruit approximately 390 families across the sites, including those recruited in our feasibility RCT. They will be randomly allocated to NIM or optimised services as usual and followed up to 2.5 years post-randomisation. The principal outcome measure will be child mental health, and secondary outcomes will be child quality of life, the time taken for the child to be placed in permanent care (rehabilitation home or adoption) and the quality of the relationship with the primary caregiver. Discussion The study is novel in that infant mental health professionals rarely have a role in judicial decisions about children’s care placements, and RCTs are rare in the judicial context. The trial will allow us to determine whether NIM is clinically and cost-effective in the UK and findings may have important implications for the use of mental health assessment and treatment as part of the decision-making about children in the care system.
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Affiliation(s)
- Karen Crawford
- Mental Health and Wellbeing, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
| | - Bridie Fitzpatick
- Centre for General Practice and Primary Care, University of Glasgow, Glasgow, UK
| | - Lynn McMahon
- Stratified Medicine Scotland Innovation Centre, University of Glasgow, Glasgow, UK
| | | | | | - Alex McConnachie
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Martina Messow
- Robertson Centre for Biostatistics, University of Glasgow, Glasgow, UK
| | - Marion Henderson
- School of Social Work and Social Policy, University of Strathclyde, Glasgow, UK
| | - Emma McIntosh
- Health Economics and Health Technology Assessment, University of Glasgow, Glasgow, UK
| | - Kathleen Boyd
- Health Economics and Health Technology Assessment, University of Glasgow, Glasgow, UK
| | - Dennis Ougrin
- Institute of Psychiatry, Psychology and Neurodevelopment, King's College London, London, UK
| | - Phil Wilson
- Centre for Rural Health, University of Aberdeen, Aberdeen, UK
| | - Nicholas Watson
- Centre for Disability Research, University of Glasgow, Glasgow, UK
| | - Helen Minnis
- Mental Health and Wellbeing, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
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Di Florio A, Mei Kay Yang J, Crawford K, Bergink V, Leonenko G, Pardiñas AF, Escott-Price V, Gordon-Smith K, Owen MJ, Craddock N, Jones L, O'Donovan M, Jones I. Post-partum psychosis and its association with bipolar disorder in the UK: a case-control study using polygenic risk scores. Lancet Psychiatry 2021; 8:1045-1052. [PMID: 34715029 DOI: 10.1016/s2215-0366(21)00253-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 07/03/2021] [Accepted: 07/05/2021] [Indexed: 01/12/2023]
Abstract
BACKGROUND For more than 150 years, controversy over the status of post-partum psychosis has hindered research and caused considerable confusion for clinicians and women, with potentially negative consequences. We aimed to explore the hypothesis that genetic vulnerability differs between women with first-onset post-partum psychosis and those with bipolar disorder more generally. METHODS In this case-control study on first-onset post-partum psychosis and bipolar disorder in the UK, we included 203 women with first-onset post-partum psychosis (defined as a manic, mixed, or psychotic depression episode within 6 weeks of delivery without a psychiatric history) and 1225 parous women with a history of bipolar disorder. Information on women with bipolar disorder was obtained from the Bipolar Disorder Research Network database, and participants were recruited through screening community mental health teams across the UK and via the media and patient support organisations. All were assessed using a semistructured face-to-face psychiatric interview and psychiatric case note review. 2809 women from the general population were recruited via the national UK Blood Services and the 1958 Birth Cohort (UK National Child Development Study) as controls and matched to cases according to genetic ancestry. All self-reported their ethnicity as White and were recruited from across the UK. Polygenic risk scores (PRSs) were generated from discovery genome-wide association studies of schizophrenia, bipolar disorder, and major depression. Logistic regression was used to model the effect of each PRS on diagnosis, and the RRs and ORs presented were adjusted for ten principal components of genetic variation to account for population stratification. FINDINGS 203 women with first-onset post-partum psychosis (median age at interview: 46 years [IQR 37-55]) and 1225 women with bipolar disorder (49 years [41-58]) were recruited between September, 1991, and May, 2013, as well as 2809 controls. Women with first-onset post-partum psychosis had similar bipolar disorder and schizophrenia PRSs to women with bipolar disorder, which were significantly higher than those of controls. When compared with controls, women with first-onset post-partum psychosis had an adjusted relative risk ratio (RR) for bipolar disorder PRSs of 1·71 (95% CI 1·56-1·86, p<0·0001) and for schizophrenia PRSs of 1·82 (1·66-1·97, p<0·0001). The effect sizes were similar when comparing women with bipolar disorder to controls (adjusted RR 1·77 [1·69-1·84], p<0·0001 for bipolar disorder PRSs; 2·00 (1·92-2·08), p<0·0001 for schizophrenia PRSs). Although women with bipolar disorder also had higher major depression PRSs than did controls (1·24 [1·17-1·31], p<0·0001), women with first-onset post-partum psychosis did not differ from controls in their polygenic liability to major depression (0·97 (0·82-1·11), p=0·63). INTERPRETATION Our study supports the recognition of first-onset post-partum psychosis as a separate nosological entity within the bipolar disorder spectrum both in research and clinical settings. FUNDING Wellcome Trust and Medical Research Council.
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Affiliation(s)
- Arianna Di Florio
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK.
| | - Jessica Mei Kay Yang
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Karen Crawford
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK; Division of Psychological Medicine and Clinical Neurosciences, and UK Dementia Research Institute, School of Medicine, Cardiff University, Cardiff, UK
| | - Veerle Bergink
- Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Ganna Leonenko
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK
| | - Valentina Escott-Price
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK; Division of Psychological Medicine and Clinical Neurosciences, and UK Dementia Research Institute, School of Medicine, Cardiff University, Cardiff, UK
| | | | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK; National Centre for Mental Health, Cardiff University, Cardiff, UK
| | - Nick Craddock
- National Centre for Mental Health, Cardiff University, Cardiff, UK
| | - Lisa Jones
- Psychological Medicine, University of Worcester, Worcester, UK
| | - Michael O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK; National Centre for Mental Health, Cardiff University, Cardiff, UK
| | - Ian Jones
- MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, UK; National Centre for Mental Health, Cardiff University, Cardiff, UK
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McCrea MA, Giacino JT, Barber J, Temkin NR, Nelson LD, Levin HS, Dikmen S, Stein M, Bodien YG, Boase K, Taylor SR, Vassar M, Mukherjee P, Robertson C, Diaz-Arrastia R, Okonkwo DO, Markowitz AJ, Manley GT, Adeoye O, Badjatia N, Bullock MR, Chesnut R, Corrigan JD, Crawford K, Duhaime AC, Ellenbogen R, Feeser VR, Ferguson AR, Foreman B, Gardner R, Gaudette E, Goldman D, Gonzalez L, Gopinath S, Gullapalli R, Hemphill JC, Hotz G, Jain S, Keene CD, Korley FK, Kramer J, Kreitzer N, Lindsell C, Machamer J, Madden C, Martin A, McAllister T, Merchant R, Ngwenya LB, Noel F, Nolan A, Palacios E, Perl D, Puccio A, Rabinowitz M, Rosand J, Sander A, Satris G, Schnyer D, Seabury S, Sherer M, Toga A, Valadka A, Wang K, Yue JK, Yuh E, Zafonte R. Functional Outcomes Over the First Year After Moderate to Severe Traumatic Brain Injury in the Prospective, Longitudinal TRACK-TBI Study. JAMA Neurol 2021; 78:982-992. [PMID: 34228047 DOI: 10.1001/jamaneurol.2021.2043] [Citation(s) in RCA: 90] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Importance Moderate to severe traumatic brain injury (msTBI) is a major cause of death and disability in the US and worldwide. Few studies have enabled prospective, longitudinal outcome data collection from the acute to chronic phases of recovery after msTBI. Objective To prospectively assess outcomes in major areas of life function at 2 weeks and 3, 6, and 12 months after msTBI. Design, Setting, and Participants This cohort study, as part of the Transforming Research and Clinical Knowledge in TBI (TRACK-TBI) study, was conducted at 18 level 1 trauma centers in the US from February 2014 to August 2018 and prospectively assessed longitudinal outcomes, with follow-up to 12 months postinjury. Participants were patients with msTBI (Glasgow Coma Scale scores 3-12) extracted from a larger group of patients with mild, moderate, or severe TBI who were enrolled in TRACK-TBI. Data analysis took place from October 2019 to April 2021. Exposures Moderate or severe TBI. Main Outcomes and Measures The Glasgow Outcome Scale-Extended (GOSE) and Disability Rating Scale (DRS) were used to assess global functional status 2 weeks and 3, 6, and 12 months postinjury. Scores on the GOSE were dichotomized to determine favorable (scores 4-8) vs unfavorable (scores 1-3) outcomes. Neurocognitive testing and patient reported outcomes at 12 months postinjury were analyzed. Results A total of 484 eligible patients were included from the 2679 individuals in the TRACK-TBI study. Participants with severe TBI (n = 362; 283 men [78.2%]; median [interquartile range] age, 35.5 [25-53] years) and moderate TBI (n = 122; 98 men [80.3%]; median [interquartile range] age, 38 [25-53] years) were comparable on demographic and premorbid variables. At 2 weeks postinjury, 36 of 290 participants with severe TBI (12.4%) and 38 of 93 participants with moderate TBI (41%) had favorable outcomes (GOSE scores 4-8); 301 of 322 in the severe TBI group (93.5%) and 81 of 103 in the moderate TBI group (78.6%) had moderate disability or worse on the DRS (total score ≥4). By 12 months postinjury, 142 of 271 with severe TBI (52.4%) and 54 of 72 with moderate TBI (75%) achieved favorable outcomes. Nearly 1 in 5 participants with severe TBI (52 of 270 [19.3%]) and 1 in 3 with moderate TBI (23 of 71 [32%]) reported no disability (DRS score 0) at 12 months. Among participants in a vegetative state at 2 weeks, 62 of 79 (78%) regained consciousness and 14 of 56 with available data (25%) regained orientation by 12 months. Conclusions and Relevance In this study, patients with msTBI frequently demonstrated major functional gains, including recovery of independence, between 2 weeks and 12 months postinjury. Severe impairment in the short term did not portend poor outcomes in a substantial minority of patients with msTBI. When discussing prognosis during the first 2 weeks after injury, clinicians should be particularly cautious about making early, definitive prognostic statements suggesting poor outcomes and withdrawal of life-sustaining treatment in patients with msTBI.
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Affiliation(s)
- Michael A McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts.,Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
| | - Jason Barber
- Department of Neurological Surgery, University of Washington, Seattle
| | - Nancy R Temkin
- Department of Neurological Surgery, University of Washington, Seattle
| | - Lindsay D Nelson
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
| | - Harvey S Levin
- Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Sureyya Dikmen
- Department of Neurological Surgery, University of Washington, Seattle
| | - Murray Stein
- Department of Family Medicine and Public Health, University of California, San Diego, San Diego
| | - Yelena G Bodien
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts.,Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
| | - Kim Boase
- Department of Neurological Surgery, University of Washington, Seattle
| | - Sabrina R Taylor
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Mary Vassar
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Pratik Mukherjee
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Claudia Robertson
- Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | | | - David O Okonkwo
- Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Amy J Markowitz
- Neurological Surgery, University of California, San Francisco, San Francisco
| | - Geoffrey T Manley
- Neurological Surgery, University of California, San Francisco, San Francisco
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Sonia Jain
- University of California, San Diego, La Jolla
| | | | | | - Joel Kramer
- University of California, San Francisco, San Francisco
| | | | | | | | | | | | | | | | | | | | - Amber Nolan
- University of California, San Francisco, San Francisco
| | - Eva Palacios
- University of California, San Francisco, San Francisco
| | - Daniel Perl
- Uniformed Services University, Bethesda, Maryland
| | - Ava Puccio
- University of Pittsburgh, Pittsburgh, Pennsylvania
| | | | | | | | | | | | | | | | - Arthur Toga
- University of Southern California, Los Angeles
| | | | | | - John K Yue
- University of California, San Francisco, San Francisco
| | - Esther Yuh
- University of California, San Francisco, San Francisco
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12
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Yuh EL, Jain S, Sun X, Pisica D, Harris MH, Taylor SR, Markowitz AJ, Mukherjee P, Verheyden J, Giacino JT, Levin HS, McCrea M, Stein MB, Temkin NR, Diaz-Arrastia R, Robertson CS, Lingsma HF, Okonkwo DO, Maas AIR, Manley GT, Adeoye O, Badjatia N, Boase K, Bodien Y, Corrigan JD, Crawford K, Dikmen S, Duhaime AC, Ellenbogen R, Feeser VR, Ferguson AR, Foreman B, Gardner R, Gaudette E, Gonzalez L, Gopinath S, Gullapalli R, Hemphill JC, Hotz G, Keene CD, Kramer J, Kreitzer N, Lindsell C, Machamer J, Madden C, Martin A, McAllister T, Merchant R, Nelson L, Ngwenya LB, Noel F, Nolan A, Palacios E, Perl D, Rabinowitz M, Rosand J, Sander A, Satris G, Schnyer D, Seabury S, Toga A, Valadka A, Vassar M, Zafonte R. Pathological Computed Tomography Features Associated With Adverse Outcomes After Mild Traumatic Brain Injury: A TRACK-TBI Study With External Validation in CENTER-TBI. JAMA Neurol 2021; 78:1137-1148. [PMID: 34279565 PMCID: PMC8290344 DOI: 10.1001/jamaneurol.2021.2120] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Question Are different patterns of intracranial injury on head computed tomography associated with prognosis after mild traumatic brain injury (mTBI)? Findings In this cohort study, subarachnoid hemorrhage, subdural hematoma, and contusion often co-occurred and were associated with both incomplete recovery and more severe impairment out to 12 months after injury, while intraventricular and/or petechial hemorrhage co-occurred and were associated with more severe impairment up to 12 months after injury; epidural hematoma was associated with incomplete recovery at some points but not with more severe impairment. Some intracranial hemorrhage patterns were more strongly associated with outcomes than previously validated demographic and clinical variables. Meaning In this study, different pathological features on head computed tomography carried different implications for mild traumatic brain injury prognosis to 1 year. Importance A head computed tomography (CT) with positive results for acute intracranial hemorrhage is the gold-standard diagnostic biomarker for acute traumatic brain injury (TBI). In moderate to severe TBI (Glasgow Coma Scale [GCS] scores 3-12), some CT features have been shown to be associated with outcomes. In mild TBI (mTBI; GCS scores 13-15), distribution and co-occurrence of pathological CT features and their prognostic importance are not well understood. Objective To identify pathological CT features associated with adverse outcomes after mTBI. Design, Setting, and Participants The longitudinal, observational Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study enrolled patients with TBI, including those 17 years and older with GCS scores of 13 to 15 who presented to emergency departments at 18 US level 1 trauma centers between February 26, 2014, and August 8, 2018, and underwent head CT imaging within 24 hours of TBI. Evaluations of CT imaging used TBI Common Data Elements. Glasgow Outcome Scale–Extended (GOSE) scores were assessed at 2 weeks and 3, 6, and 12 months postinjury. External validation of results was performed via the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. Data analyses were completed from February 2020 to February 2021. Exposures Acute nonpenetrating head trauma. Main Outcomes and Measures Frequency, co-occurrence, and clustering of CT features; incomplete recovery (GOSE scores <8 vs 8); and an unfavorable outcome (GOSE scores <5 vs ≥5) at 2 weeks and 3, 6, and 12 months. Results In 1935 patients with mTBI (mean [SD] age, 41.5 [17.6] years; 1286 men [66.5%]) in the TRACK-TBI cohort and 2594 patients with mTBI (mean [SD] age, 51.8 [20.3] years; 1658 men [63.9%]) in an external validation cohort, hierarchical cluster analysis identified 3 major clusters of CT features: contusion, subarachnoid hemorrhage, and/or subdural hematoma; intraventricular and/or petechial hemorrhage; and epidural hematoma. Contusion, subarachnoid hemorrhage, and/or subdural hematoma features were associated with incomplete recovery (odds ratios [ORs] for GOSE scores <8 at 1 year: TRACK-TBI, 1.80 [95% CI, 1.39-2.33]; CENTER-TBI, 2.73 [95% CI, 2.18-3.41]) and greater degrees of unfavorable outcomes (ORs for GOSE scores <5 at 1 year: TRACK-TBI, 3.23 [95% CI, 1.59-6.58]; CENTER-TBI, 1.68 [95% CI, 1.13-2.49]) out to 12 months after injury, but epidural hematoma was not. Intraventricular and/or petechial hemorrhage was associated with greater degrees of unfavorable outcomes up to 12 months after injury (eg, OR for GOSE scores <5 at 1 year in TRACK-TBI: 3.47 [95% CI, 1.66-7.26]). Some CT features were more strongly associated with outcomes than previously validated variables (eg, ORs for GOSE scores <5 at 1 year in TRACK-TBI: neuropsychiatric history, 1.43 [95% CI .98-2.10] vs contusion, subarachnoid hemorrhage, and/or subdural hematoma, 3.23 [95% CI 1.59-6.58]). Findings were externally validated in 2594 patients with mTBI enrolled in the CENTER-TBI study. Conclusions and Relevance In this study, pathological CT features carried different prognostic implications after mTBI to 1 year postinjury. Some patterns of injury were associated with worse outcomes than others. These results support that patients with mTBI and these CT features need TBI-specific education and systematic follow-up.
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Affiliation(s)
- Esther L Yuh
- Brain and Spinal Injury Center, San Francisco, California.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco
| | - Sonia Jain
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla
| | - Xiaoying Sun
- Biostatistics Research Center, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla
| | - Dana Pisica
- Department of Neurosurgery, Erasmus Medical Center, Rotterdam, the Netherlands.,Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Mark H Harris
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | - Sabrina R Taylor
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | - Amy J Markowitz
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | - Pratik Mukherjee
- Brain and Spinal Injury Center, San Francisco, California.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco
| | - Jan Verheyden
- Research and Development, Icometrix, Leuven, Belgium
| | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, Massachusetts.,Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
| | - Harvey S Levin
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Michael McCrea
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla.,Veterans Affairs San Diego Healthcare System, San Diego, California
| | - Nancy R Temkin
- Department of Neurological Surgery, University of Washington, Seattle
| | | | | | - Hester F Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, the Netherlands
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Andrew I R Maas
- Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium
| | - Geoffrey T Manley
- Brain and Spinal Injury Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco, San Francisco
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Joel Kramer
- University of California, San Francisco, San Francisco
| | | | | | | | | | | | | | | | | | | | | | - Amber Nolan
- University of California, San Francisco, San Francisco
| | - Eva Palacios
- University of California, San Francisco, San Francisco
| | - Daniel Perl
- Uniformed Services University, Bethesda, Maryland
| | | | | | | | | | | | | | - Arthur Toga
- University of Southern California, Los Angeles
| | | | - Mary Vassar
- University of California, San Francisco, San Francisco
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MacLachlan A, Crawford K, Shinwell S, Nixon C, Henderson M. Recruiting hard-to-reach pregnant women at high psychosocial risk: strategies and costs from a randomised controlled trial. Trials 2021; 22:402. [PMID: 34134724 PMCID: PMC8207826 DOI: 10.1186/s13063-021-05348-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 06/01/2021] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Recruiting participants to randomised controlled trials (RCTs) is often challenging, particularly when working with socially disadvantaged populations who are often termed 'hard-to-reach' in research. Here we report the recruitment strategies and costs for the Trial for Healthy Relationship Initiatives in the Very Early years (THRIVE), an RCT evaluating two group-based parenting interventions for pregnant women. METHODS THRIVE aimed to recruit 500 pregnant women with additional health and social care needs in Scotland between 2014 and 2018. Three recruitment strategies were employed: (1) referrals from a health or social care practitioner or voluntary/community organisation (practitioner-led referral), (2) direct engagement with potential participants by research staff (researcher-led recruitment) and (3) self-referral in response to study advertising (self-referral). The number of referrals and recruited participants from each strategy is reported along with the overall cost of recruitment. The impact of recruitment activities and the changes in maternity policy/context on recruitment throughout the study are examined. RESULTS THRIVE received 973 referrals: 684 (70%) from practitioners (mainly specialist and general midwives), 273 (28%) from research nurses and 16 (2%) self-referrals. The time spent in antenatal clinics by research nurses each month was positively correlated with the number of referrals received (r = 0.57; p < 0.001). Changes in maternity policies and contexts were reflected in the number of referrals received each month, with both positive and negative impacts throughout the trial. Overall, 50% of referred women were recruited to the trial. Women referred via self-referral, THRIVE research nurses and specialist midwives were most likely to go on to be recruited (81%, 58% and 57%, respectively). Key contributors to recruitment included engaging key groups of referrers, establishing a large flexible workforce to enable recruitment activities to adapt to changes in context throughout the study and identifying the most appropriate setting to engage with potential participants. The overall cost of recruitment was £377 per randomised participant. CONCLUSIONS Recruitment resulted from a combination of all three strategies. Our reflections on the successes and challenges of these strategies highlight the need for recruitment strategies to be flexible to adapt to complex interventions and real-world challenges. These findings will inform future research in similar hard-to-reach populations. TRIAL REGISTRATION International Standard Randomised Controlled Trials Number Registry ISRCTN21656568 . Retrospectively registered on 28 February 2014.
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Affiliation(s)
- Alice MacLachlan
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Berkeley Square, 99 Berkeley Street, Glasgow, G3 7HR Scotland
| | - Karen Crawford
- Institute of Health and Wellbeing, Level 4, Academic CAMHS, Yorkhill Hospital, University of Glasgow, Dalnair Street, Glasgow, G3 8SJ Scotland
| | - Shona Shinwell
- School of Health Sciences, University of Dundee, 11 Airlie Place, Dundee, DD1 4HJ Scotland
| | - Catherine Nixon
- Scottish Children’s Reporter Administration, 10-20 Bell Street, Glasgow, G1 1LG Scotland
| | - Marion Henderson
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Berkeley Square, 99 Berkeley Street, Glasgow, G3 7HR Scotland
- Social Work and Social Policy, University of Strathclyde, Lord Hope Building, 141 St James Road, Glasgow, G4 OLT Scotland
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Farrington T, Vinson J, Crawford K. Accrual of African American men into prostate cancer clinical trials: Collaborations to incorporate patient perspectives. Eur Urol 2021. [DOI: 10.1016/s0302-2838(21)00588-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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15
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Orrù CD, Ma TC, Hughson AG, Groveman BR, Srivastava A, Galasko D, Angers R, Downey P, Crawford K, Hutten SJ, Kang UJ, Caughey B. A rapid α-synuclein seed assay of Parkinson's disease CSF panel shows high diagnostic accuracy. Ann Clin Transl Neurol 2021; 8:374-384. [PMID: 33373501 PMCID: PMC7886040 DOI: 10.1002/acn3.51280] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 11/18/2020] [Accepted: 12/02/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Assays that specifically measure α-synuclein seeding activity in biological fluids could revolutionize the diagnosis of Parkinson's disease. Recent improvements in α-synuclein real-time quaking-induced conversion assays of cerebrospinal fluid have dramatically reduced reaction times from 5-13 days down to 1-2 days. OBJECTIVE To test our improved assay against a panel of cerebrospinal fluid specimens from patients with Parkinson's disease and healthy controls from the MJ Fox Foundation/NINDS BioFIND collection. METHODS Specimens collected from healthy controls and patients with clinically typical moderate-to-advanced Parkinson's disease were tested without prior knowledge of disease status. Correlative analyses between assay parameters and clinical measures were performed by an independent investigator. RESULTS BioFIND samples gave positive signals in 105/108 (97%) Parkinson's disease cases versus 11/85 (13%) healthy controls. Receiver operating characteristic analyses of diagnosis of cases versus healthy controls gave areas under the curve of 95%. Beyond binary positive/negative determinations, only weak correlations were observed between various assay response parameters and Parkinson's disease clinical measures or other cerebrospinal fluid analytes. Of note, REM sleep behavioral disorder questionnaire scores correlated with the reaction times needed to reach 50% maximum fluorescence. Maximum fluorescence was inversely correlated with Unified Parkinson's Disease Rating Scale motor scores, which was driven by the patients without REM sleep behavioral disorder. CONCLUSIONS Our improved α-synuclein seed amplification assay dramatically reduces the time needed to diagnose Parkinson's disease while maintaining the high-performance standards associated with previous α-synuclein seed assays, supporting the clinical utility of this assay for Parkinson's disease diagnosis.
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Affiliation(s)
- Christina D. Orrù
- Laboratory of Persistent Viral DiseasesRocky Mountain LaboratoriesNational Institute of Allergy and Infectious DiseasesNIHHamiltonMontana
| | - Thong C. Ma
- Department of NeurologyNew York University Grossman School of MedicineNew YorkNew York
| | - Andrew G. Hughson
- Laboratory of Persistent Viral DiseasesRocky Mountain LaboratoriesNational Institute of Allergy and Infectious DiseasesNIHHamiltonMontana
| | - Bradley R. Groveman
- Laboratory of Persistent Viral DiseasesRocky Mountain LaboratoriesNational Institute of Allergy and Infectious DiseasesNIHHamiltonMontana
| | - Ankit Srivastava
- Laboratory of Persistent Viral DiseasesRocky Mountain LaboratoriesNational Institute of Allergy and Infectious DiseasesNIHHamiltonMontana
| | - Douglas Galasko
- Department of NeurosciencesUniversity of California‐San DiegoLa JollaCalifornia
| | | | | | - Karen Crawford
- Laboratory of Neuro ImagingMark and Mary Stevens Neuroimaging and Informatics InstituteKeck School of Medicine of USCUniversity of Southern CaliforniaLos AngelesCalifornia
| | | | - Un Jung Kang
- Department of NeurologyNew York University Grossman School of MedicineNew YorkNew York
| | - Byron Caughey
- Laboratory of Persistent Viral DiseasesRocky Mountain LaboratoriesNational Institute of Allergy and Infectious DiseasesNIHHamiltonMontana
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Bradshaw T, Blakemore A, Wilson I, Fitzsimmons M, Crawford K, Mairs H. A systematic review of the outcomes of using voice hearing simulation in the education of health care professionals and those in training. Nurse Educ Today 2021; 96:104626. [PMID: 33157364 DOI: 10.1016/j.nedt.2020.104626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 10/06/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES To identify and synthesise data from studies that have evaluated the outcomes of voice hearing simulation as an educational intervention with health care professionals and those in training. DESIGN The research employed a systematic review that was informed by Centre for Reviews and Dissemination DATA SOURCES: The databases Web of Science, Medline, Embase, PsycINFO, the Cochrane Database of Systematic Reviews, the Cochrane Central Register of Controlled Trials Register and CINAHL were systematically searched to January 2020. REVIEW METHODS Identified studies were screened by title (n = 509), abstract (n = 246) and full text (n = 56) using the following inclusion criteria: studies employing either qualitative and/or quantitative research methods, which have evaluated voice hearing simulation as a principal educational intervention with health care professionals during training or post-qualification. RESULTS Twenty six studies were included in the review. Eleven studies adopted mixed methods, five adopted quantitative methods and ten used qualitative methods. Although most of the studies were of low to medium quality the findings were encouraging and suggest that voice hearing simulation may be a useful educational intervention. Positive outcomes of simulation included improvements in empathy, attitudes, knowledge, understanding about voice hearing experiences and increased confidence in practice. The majority of participants that took part in voice hearing simulation thought that it was a powerful learning experience that should be offered to other health care professionals and those in training. CONCLUSIONS Voice hearing simulation is a valuable educational intervention that should be routinely used by academics when teaching health professionals and those in training about the experiences of people who hear voices. However, to confirm its true effects and optimum mode of delivery further better quality research is needed.
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Affiliation(s)
- T Bradshaw
- Division of Nursing, Midwifery and Social Work, Jean McFarlane Building, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom.
| | - A Blakemore
- Division of Nursing, Midwifery and Social Work, Jean McFarlane Building, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - I Wilson
- Division of Nursing, Midwifery and Social Work, Jean McFarlane Building, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - M Fitzsimmons
- Division of Nursing, Midwifery and Social Work, Jean McFarlane Building, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
| | - K Crawford
- National Paranoia Network, Limbrick Centre, Limbrick Road, Sheffield S6 2PE, United Kingdom
| | - H Mairs
- Division of Nursing, Midwifery and Social Work, Jean McFarlane Building, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom
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17
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Bracher-Smith M, Crawford K, Escott-Price V. Machine learning for genetic prediction of psychiatric disorders: a systematic review. Mol Psychiatry 2021; 26:70-79. [PMID: 32591634 PMCID: PMC7610853 DOI: 10.1038/s41380-020-0825-2] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 06/09/2020] [Accepted: 06/16/2020] [Indexed: 12/25/2022]
Abstract
Machine learning methods have been employed to make predictions in psychiatry from genotypes, with the potential to bring improved prediction of outcomes in psychiatric genetics; however, their current performance is unclear. We aim to systematically review machine learning methods for predicting psychiatric disorders from genetics alone and evaluate their discrimination, bias and implementation. Medline, PsycInfo, Web of Science and Scopus were searched for terms relating to genetics, psychiatric disorders and machine learning, including neural networks, random forests, support vector machines and boosting, on 10 September 2019. Following PRISMA guidelines, articles were screened for inclusion independently by two authors, extracted, and assessed for risk of bias. Overall, 63 full texts were assessed from a pool of 652 abstracts. Data were extracted for 77 models of schizophrenia, bipolar, autism or anorexia across 13 studies. Performance of machine learning methods was highly varied (0.48-0.95 AUC) and differed between schizophrenia (0.54-0.95 AUC), bipolar (0.48-0.65 AUC), autism (0.52-0.81 AUC) and anorexia (0.62-0.69 AUC). This is likely due to the high risk of bias identified in the study designs and analysis for reported results. Choices for predictor selection, hyperparameter search and validation methodology, and viewing of the test set during training were common causes of high risk of bias in analysis. Key steps in model development and validation were frequently not performed or unreported. Comparison of discrimination across studies was constrained by heterogeneity of predictors, outcome and measurement, in addition to sample overlap within and across studies. Given widespread high risk of bias and the small number of studies identified, it is important to ensure established analysis methods are adopted. We emphasise best practices in methodology and reporting for improving future studies.
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Affiliation(s)
- Matthew Bracher-Smith
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Karen Crawford
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
- Dementia Research Institute, School of Medicine, Cardiff University, Cardiff, UK
| | - Valentina Escott-Price
- MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK.
- Dementia Research Institute, School of Medicine, Cardiff University, Cardiff, UK.
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Bell JF, Maki JN, Mehall GL, Ravine MA, Caplinger MA, Bailey ZJ, Brylow S, Schaffner JA, Kinch KM, Madsen MB, Winhold A, Hayes AG, Corlies P, Tate C, Barrington M, Cisneros E, Jensen E, Paris K, Crawford K, Rojas C, Mehall L, Joseph J, Proton JB, Cluff N, Deen RG, Betts B, Cloutis E, Coates AJ, Colaprete A, Edgett KS, Ehlmann BL, Fagents S, Grotzinger JP, Hardgrove C, Herkenhoff KE, Horgan B, Jaumann R, Johnson JR, Lemmon M, Paar G, Caballo-Perucha M, Gupta S, Traxler C, Preusker F, Rice MS, Robinson MS, Schmitz N, Sullivan R, Wolff MJ. The Mars 2020 Perseverance Rover Mast Camera Zoom (Mastcam-Z) Multispectral, Stereoscopic Imaging Investigation. Space Sci Rev 2021; 217:24. [PMID: 33612866 PMCID: PMC7883548 DOI: 10.1007/s11214-020-00755-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 09/25/2020] [Indexed: 05/16/2023]
Abstract
Mastcam-Z is a multispectral, stereoscopic imaging investigation on the Mars 2020 mission's Perseverance rover. Mastcam-Z consists of a pair of focusable, 4:1 zoomable cameras that provide broadband red/green/blue and narrowband 400-1000 nm color imaging with fields of view from 25.6° × 19.2° (26 mm focal length at 283 μrad/pixel) to 6.2° × 4.6° (110 mm focal length at 67.4 μrad/pixel). The cameras can resolve (≥ 5 pixels) ∼0.7 mm features at 2 m and ∼3.3 cm features at 100 m distance. Mastcam-Z shares significant heritage with the Mastcam instruments on the Mars Science Laboratory Curiosity rover. Each Mastcam-Z camera consists of zoom, focus, and filter wheel mechanisms and a 1648 × 1214 pixel charge-coupled device detector and electronics. The two Mastcam-Z cameras are mounted with a 24.4 cm stereo baseline and 2.3° total toe-in on a camera plate ∼2 m above the surface on the rover's Remote Sensing Mast, which provides azimuth and elevation actuation. A separate digital electronics assembly inside the rover provides power, data processing and storage, and the interface to the rover computer. Primary and secondary Mastcam-Z calibration targets mounted on the rover top deck enable tactical reflectance calibration. Mastcam-Z multispectral, stereo, and panoramic images will be used to provide detailed morphology, topography, and geologic context along the rover's traverse; constrain mineralogic, photometric, and physical properties of surface materials; monitor and characterize atmospheric and astronomical phenomena; and document the rover's sample extraction and caching locations. Mastcam-Z images will also provide key engineering information to support sample selection and other rover driving and tool/instrument operations decisions.
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Affiliation(s)
| | | | | | - M. A. Ravine
- Malin Space Science Systems, Inc., San Diego, CA USA
| | | | | | - S. Brylow
- Malin Space Science Systems, Inc., San Diego, CA USA
| | | | | | | | | | | | | | - C. Tate
- Cornell Univ., Ithaca, NY USA
| | | | | | - E. Jensen
- Malin Space Science Systems, Inc., San Diego, CA USA
| | - K. Paris
- Arizona State Univ., Tempe, AZ USA
| | | | - C. Rojas
- Arizona State Univ., Tempe, AZ USA
| | | | | | | | - N. Cluff
- Arizona State Univ., Tempe, AZ USA
| | | | - B. Betts
- The Planetary Society, Pasadena, CA USA
| | | | - A. J. Coates
- Mullard Space Science Laboratory, Univ. College, London, UK
| | - A. Colaprete
- NASA/Ames Research Center, Moffett Field, CA USA
| | - K. S. Edgett
- Malin Space Science Systems, Inc., San Diego, CA USA
| | - B. L. Ehlmann
- JPL/Caltech, Pasadena, CA USA
- Caltech, Pasadena, CA USA
| | | | | | | | | | | | - R. Jaumann
- Inst. of Geological Sciences, Free University Berlin, Berlin, Germany
| | | | - M. Lemmon
- Space Science Inst., Boulder, CO USA
| | - G. Paar
- Joanneum Research, Graz, Austria
| | | | | | | | - F. Preusker
- DLR/German Aerospace Center, Berlin, Germany
| | - M. S. Rice
- Western Washington Univ., Bellingham, WA USA
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19
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Crawford K, Diaz Quiroz JF, Koenig KM, Ahuja N, Albertin CB, Rosenthal JJC. Highly Efficient Knockout of a Squid Pigmentation Gene. Curr Biol 2020; 30:3484-3490.e4. [PMID: 32735817 PMCID: PMC7484294 DOI: 10.1016/j.cub.2020.06.099] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 06/24/2020] [Accepted: 06/29/2020] [Indexed: 12/15/2022]
Abstract
Seminal studies using squid as a model led to breakthroughs in neurobiology. The squid giant axon and synapse, for example, laid the foundation for our current understanding of the action potential [1], ionic gradients across cells [2], voltage-dependent ion channels [3], molecular motors [4-7], and synaptic transmission [8-11]. Despite their anatomical advantages, the use of squid as a model receded over the past several decades as investigators turned to genetically tractable systems. Recently, however, two key advances have made it possible to develop techniques for the genetic manipulation of squid. The first is the CRISPR-Cas9 system for targeted gene disruption, a largely species-agnostic method [12, 13]. The second is the sequencing of genomes for several cephalopod species [14-16]. If made genetically tractable, squid and other cephalopods offer a wealth of biological novelties that could spur discovery. Within invertebrates, not only do they possess by far the largest brains, they also express the most sophisticated behaviors [17]. In this paper, we demonstrate efficient gene knockout in the squid Doryteuthis pealeii using CRISPR-Cas9. Ommochromes, the pigments found in squid retinas and chromatophores, are derivatives of tryptophan, and the first committed step in their synthesis is normally catalyzed by Tryptophan 2,3 Dioxygenase (TDO [18-20]). Knocking out TDO in squid embryos efficiently eliminated pigmentation. By precisely timing CRISPR-Cas9 delivery during early development, the degree of pigmentation could be finely controlled. Genotyping revealed knockout efficiencies routinely greater than 90%. This study represents a critical advancement toward making squid genetically tractable.
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Affiliation(s)
- Karen Crawford
- Biology Department, St. Mary's College of Maryland, 18952 E. Fisher Road, St. Mary's City, MD 20650, USA; The Eugene Bell Center, The Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA 02543, USA
| | - Juan F Diaz Quiroz
- The Eugene Bell Center, The Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA 02543, USA
| | - Kristen M Koenig
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 01451, USA; John Harvard Distinguished Science Fellowship Program, Harvard University, Cambridge, MA 01451, USA
| | - Namrata Ahuja
- The Eugene Bell Center, The Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA 02543, USA
| | - Caroline B Albertin
- The Eugene Bell Center, The Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA 02543, USA
| | - Joshua J C Rosenthal
- The Eugene Bell Center, The Marine Biological Laboratory, 7 MBL Street, Woods Hole, MA 02543, USA.
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20
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Crawford K, Armaneous M, Leonard R, Linnemeyer K, Vahabzadeh-Hagh A, Orosco R, Blumenfeld L. Radiation therapy alters pharyngeal mobility and strength during deglutition in patients with head and neck cancer. Int J Radiat Oncol Biol Phys 2020. [DOI: 10.1016/j.ijrobp.2019.11.083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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21
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Smolensky L, Amondikar N, Crawford K, Neu S, Kopil CM, Daeschler M, Riley L, Brown E, Toga AW, Tanner C. Fox Insight collects online, longitudinal patient-reported outcomes and genetic data on Parkinson's disease. Sci Data 2020; 7:67. [PMID: 32094335 PMCID: PMC7039948 DOI: 10.1038/s41597-020-0401-2] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 01/29/2020] [Indexed: 01/01/2023] Open
Abstract
Fox Insight is an online, longitudinal health study of people with and without Parkinson's disease with targeted enrollment set to at least 125,000 individuals. Fox Insight data is a rich data set facilitating discovery, validation, and reproducibility in Parkinson's disease research. The dataset is generated through routine longitudinal assessments (health and medical questionnaires evaluated at regular cycles), one-time questionnaires about environmental exposure and healthcare preferences, and genetic data collection. Qualified Researchers can explore, analyze, and download patient-reported outcomes (PROs) data and Parkinson's disease- related genetic variants at https://foxden.michaeljfox.org. The full Fox Insight genetic data set, including approximately 600,000 single nucleotide polymorphisms (SNPs), can be requested separately with institutional review and are described outside of this data descriptor.
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Affiliation(s)
- Luba Smolensky
- The Michael J. Fox Foundation for Parkinson's disease Research, Research Partnerships, 111 W 33rd St, New York, NY, 10019, USA.
| | - Ninad Amondikar
- The Michael J. Fox Foundation for Parkinson's disease Research, Research Partnerships, 111 W 33rd St, New York, NY, 10019, USA
| | - Karen Crawford
- Laboratory for Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Ken School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Scott Neu
- Laboratory for Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Ken School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Catherine M Kopil
- The Michael J. Fox Foundation for Parkinson's disease Research, Research Partnerships, 111 W 33rd St, New York, NY, 10019, USA
| | - Margaret Daeschler
- The Michael J. Fox Foundation for Parkinson's disease Research, Research Partnerships, 111 W 33rd St, New York, NY, 10019, USA
| | - Lindsey Riley
- The Michael J. Fox Foundation for Parkinson's disease Research, Research Partnerships, 111 W 33rd St, New York, NY, 10019, USA
| | | | - Ethan Brown
- University of California San Francisco, School of Medicine, 1635 Divisadero St, San Francisco, CA, 94115, USA
| | - Arthur W Toga
- Laboratory for Neuro Imaging, Mark and Mary Stevens Neuroimaging and Informatics Institute, Ken School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Caroline Tanner
- University of California San Francisco, School of Medicine, 1635 Divisadero St, San Francisco, CA, 94115, USA
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22
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McEntee K, Crawford K, Wilson M, Nejad B, Waetjen LE. Post-Operative Opioid Prescribing and Consumption Patterns After Hysterectomy: A Prospective Cohort Study. J Minim Invasive Gynecol 2019. [DOI: 10.1016/j.jmig.2019.09.639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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23
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Nelson LD, Temkin NR, Dikmen S, Barber J, Giacino JT, Yuh E, Levin HS, McCrea MA, Stein MB, Mukherjee P, Okonkwo DO, Robertson CS, Diaz-Arrastia R, Manley GT, Adeoye O, Badjatia N, Boase K, Bodien Y, Bullock MR, Chesnut R, Corrigan JD, Crawford K, Duhaime AC, Ellenbogen R, Feeser VR, Ferguson A, Foreman B, Gardner R, Gaudette E, Gonzalez L, Gopinath S, Gullapalli R, Hemphill JC, Hotz G, Jain S, Korley F, Kramer J, Kreitzer N, Lindsell C, Machamer J, Madden C, Martin A, McAllister T, Merchant R, Noel F, Palacios E, Perl D, Puccio A, Rabinowitz M, Rosand J, Sander A, Satris G, Schnyer D, Seabury S, Sherer M, Taylor S, Toga A, Valadka A, Vassar MJ, Vespa P, Wang K, Yue JK, Zafonte R. Recovery After Mild Traumatic Brain Injury in Patients Presenting to US Level I Trauma Centers: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Study. JAMA Neurol 2019; 76:1049-1059. [PMID: 31157856 DOI: 10.1001/jamaneurol.2019.1313] [Citation(s) in RCA: 210] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Importance Most traumatic brain injuries (TBIs) are classified as mild (mTBI) based on admission Glasgow Coma Scale (GCS) scores of 13 to 15. The prevalence of persistent functional limitations for these patients is unclear. Objectives To characterize the natural history of recovery of daily function following mTBI vs peripheral orthopedic traumatic injury in the first 12 months postinjury using data from the Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) study, and, using clinical computed tomographic (CT) scans, examine whether the presence (CT+) or absence (CT-) of acute intracranial findings in the mTBI group was associated with outcomes. Design, Setting, and Participants TRACK-TBI, a cohort study of patients with mTBI presenting to US level I trauma centers, enrolled patients from February 26, 2014, to August 8, 2018, and followed up for 12 months. A total of 1453 patients at 11 level I trauma center emergency departments or inpatient units met inclusion criteria (ie, mTBI [n = 1154] or peripheral orthopedic traumatic injury [n = 299]) and were enrolled within 24 hours of injury; mTBI participants had admission GCS scores of 13 to 15 and clinical head CT scans. Patients with peripheral orthopedic trauma injury served as the control (OTC) group. Exposures Participants with mTBI or OTC. Main Outcomes and Measures The Glasgow Outcome Scale Extended (GOSE) scale score, reflecting injury-related functional limitations across broad life domains at 2 weeks and 3, 6, and 12 months postinjury was the primary outcome. The possible score range of the GOSE score is 1 (dead) to 8 (upper good recovery), with a score less than 8 indicating some degree of functional impairment. Results Of the 1453 participants, 953 (65.6%) were men; mean (SD) age was 40.9 (17.1) years in the mTBI group and 40.9 (15.4) years in the OTC group. Most participants (mTBI, 87%; OTC, 93%) reported functional limitations (GOSE <8) at 2 weeks postinjury. At 12 months, the percentage of mTBI participants reporting functional limitations was 53% (95% CI, 49%-56%) vs 38% (95% CI, 30%-45%) for OTCs. A higher percentage of CT+ patients reported impairment (61%) compared with the mTBI CT- group (49%; relative risk [RR], 1.24; 95% CI, 1.08-1.43) and a higher percentage in the mTBI CT-group compared with the OTC group (RR, 1.28; 95% CI, 1.02-1.60). Conclusions and Relevance Most patients with mTBI presenting to US level I trauma centers report persistent, injury-related life difficulties at 1 year postinjury, suggesting the need for more systematic follow-up of patients with mTBI to provide treatments and reduce the risk of chronic problems after mTBI.
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Affiliation(s)
| | | | | | | | - Joseph T Giacino
- Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, Massachusetts.,Massachusetts General Hospital, Boston
| | | | | | | | - Murray B Stein
- University of California, San Diego, La Jolla.,Veterans Affairs San Diego Healthcare System, San Diego, California
| | | | | | - Claudia S Robertson
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | | | | | | | | | | | - Kim Boase
- Department of Rehabilitation Medicine, University of Washington, Seattle
| | | | | | - Randall Chesnut
- Department of Neurological Surgery, University of Washington, Seattle
| | | | | | | | | | - V Ramana Feeser
- Department of Emergency Medicine, Virginia Commonwealth University, Richmond
| | - Adam Ferguson
- Department of Neurological Surgery, University of California, San Francisco
| | | | - Raquel Gardner
- Department of Neurology, University of California, San Francisco
| | | | | | - Shankar Gopinath
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | | | | | | | - Sonia Jain
- University of California, San Diego, La Jolla
| | - Frederick Korley
- Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor
| | - Joel Kramer
- Department of Neurology, University of California, San Francisco
| | | | - Chris Lindsell
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Joan Machamer
- Department of Rehabilitation Medicine, University of Washington, Seattle
| | - Christopher Madden
- Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, Texas
| | - Alastair Martin
- Department of Radiology & Biomedical Imaging, University of California, San Francisco
| | - Thomas McAllister
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis
| | - Randall Merchant
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Richmond
| | - Florence Noel
- Dan L. Duncan Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - Eva Palacios
- Department of Radiology & Biomedical Imaging, University of California, San Francisco
| | - Daniel Perl
- Department of Pathology, Uniformed Services University, Bethesda, Maryland
| | - Ava Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Miri Rabinowitz
- Department of Neurology, University of Pennsylvania, Philadelphia
| | | | - Angelle Sander
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Gabriela Satris
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - David Schnyer
- Department of Psychology, University of Texas at Austin, Austin
| | | | | | - Sabrina Taylor
- Department of Neurological Surgery, University of California, San Francisco
| | - Arthur Toga
- University of Southern California, Los Angeles
| | - Alex Valadka
- Department of Neurosurgery, Virginia Commonwealth University, Richmond
| | - Mary J Vassar
- Department of Neurological Surgery, University of California, San Francisco.,Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Paul Vespa
- Department of Neurology, University of California Los Angeles School of Medicine, Los Angeles
| | - Kevin Wang
- Department of Psychiatry, University of Florida, Gainesville
| | - John K Yue
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Ross Zafonte
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
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Braileanu M, Crawford K, Key SR, Mullins ME. Assessment of Explicitly Stated Interval Change on Noncontrast Head CT Radiology Reports. AJNR Am J Neuroradiol 2019; 40:1091-1094. [PMID: 31147352 DOI: 10.3174/ajnr.a6081] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Accepted: 04/24/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND AND PURPOSE Consistent and standardized reporting of interval change for certain diagnoses may improve the clinical utility of radiology reports. The purpose of this study was to assess explicitly stated interval change of various findings in noncontrast head CT reports. MATERIALS AND METHODS A retrospective review was performed on successive noncontrast head CT radiology reports from the first 2 weeks of January 2014. Reports with at least 1 prior comparison CT scan were included. Reports with normal examination findings and those that made comparison with only other types of examinations (eg, MR imaging) were excluded. Descriptive and subgroup statistical analyses were performed. RESULTS In total, 200 patients with 230 reports and 979 radiographic findings were identified. The average interval between reports was 344.9 ± 695.9 days (range, 0-3556 days). Interval change was mentioned 67.3% (n = 659) of the time for all findings (n = 979). Explicitly stated interval change was significantly associated with nonremote findings (P < .001) and generalized statements of interval change (P < .001). The proportion of interval change reported ranged from 95.3% of the time for hemorrhagic to 36.4% for soft-tissue/osseous categorizations. CONCLUSIONS Interval change reporting was variable, mentioned for 67.3% of noncontrast head CT report findings with a prior comparison CT scan. Structured radiology reports may improve the consistent and clear reporting of interval change for certain findings.
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Affiliation(s)
- M Braileanu
- From the Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia.
| | - K Crawford
- From the Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - S R Key
- From the Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia
| | - M E Mullins
- From the Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia
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Crawford K, Lan-Leung B, Williams J, Escott-Price V, Ivanov D. P1-127: ANALYSIS OF RNASEQ DATA FOR ALZHEIMER'S DISEASE SUBPHENOTYPES IN HUMANS AND THE MOUSE. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Karen Crawford
- UK Dementia Research Institute at Cardiff; Cardiff University; Cardiff United Kingdom
- MRC Centre for Neuropsychiatric Genetics and Genomics; Cardiff University; Cardiff United Kingdom
| | - Benoit Lan-Leung
- UK Dementia Research Institute at Cardiff; Cardiff University; Cardiff United Kingdom
| | - Julie Williams
- UK Dementia Research Institute at Cardiff; Cardiff University; Cardiff United Kingdom
| | | | - Dobril Ivanov
- UK Dementia Research Institute at Cardiff; Cardiff University; Cardiff United Kingdom
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McKeegan D, Crawford K, McCaughan J, Addy C, Caskey S, Downey D. P100 Prevalence of chronic Pseudomonas aeruginosa infection in people with cystic fibrosis in Northern Ireland. J Cyst Fibros 2019. [DOI: 10.1016/s1569-1993(19)30394-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Crawford K, Bracher-Smith M, Owen D, Kendall KM, Rees E, Pardiñas AF, Einon M, Escott-Price V, Walters JTR, O'Donovan MC, Owen MJ, Kirov G. Medical consequences of pathogenic CNVs in adults: analysis of the UK Biobank. J Med Genet 2019; 56:131-138. [PMID: 30343275 DOI: 10.1136/jmedgenet-2018-105477] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 08/31/2018] [Accepted: 09/25/2018] [Indexed: 01/25/2023]
Abstract
BACKGROUND Genomic CNVs increase the risk for early-onset neurodevelopmental disorders, but their impact on medical outcomes in later life is still poorly understood. The UK Biobank allows us to study the medical consequences of CNVs in middle and old age in half a million well-phenotyped adults. METHODS We analysed all Biobank participants for the presence of 54 CNVs associated with genomic disorders or clinical phenotypes, including their reciprocal deletions or duplications. After array quality control and exclusion of first-degree relatives, we compared 381 452 participants of white British or Irish origin who carried no CNVs with carriers of each of the 54 CNVs (ranging from 5 to 2843 persons). We used logistic regression analysis to estimate the risk of developing 58 common medical phenotypes (3132 comparisons). RESULTS AND CONCLUSIONS Many of the CNVs have profound effects on medical health and mortality, even in people who have largely escaped early neurodevelopmental outcomes. Forty-six CNV-phenotype associations were significant at a false discovery rate threshold of 0.1, all in the direction of increased risk. Known medical consequences of CNVs were confirmed, but most identified associations are novel. Deletions at 16p11.2 and 16p12.1 had the largest numbers of significantly associated phenotypes (seven each). Diabetes, hypertension, obesity and renal failure were affected by the highest numbers of CNVs. Our work should inform clinicians in planning and managing the medical care of CNV carriers.
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Affiliation(s)
- Karen Crawford
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Matthew Bracher-Smith
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - David Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Kimberley M Kendall
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Elliott Rees
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Antonio F Pardiñas
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Mark Einon
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Valentina Escott-Price
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - James T R Walters
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Michael C O'Donovan
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - Michael J Owen
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
| | - George Kirov
- MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK
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Stein MB, Jain S, Giacino JT, Levin H, Dikmen S, Nelson LD, Vassar MJ, Okonkwo DO, Diaz-Arrastia R, Robertson CS, Mukherjee P, McCrea M, Mac Donald CL, Yue JK, Yuh E, Sun X, Campbell-Sills L, Temkin N, Manley GT, Adeoye O, Badjatia N, Boase K, Bodien Y, Bullock MR, Chesnut R, Corrigan JD, Crawford K, Diaz-Arrastia R, Dikmen S, Duhaime AC, Ellenbogen R, Feeser VR, Ferguson A, Foreman B, Gardner R, Gaudette E, Giacino JT, Gonzalez L, Gopinath S, Gullapalli R, Hemphill JC, Hotz G, Jain S, Korley F, Kramer J, Kreitzer N, Levin H, Lindsell C, Machamer J, Madden C, Martin A, McAllister T, McCrea M, Merchant R, Mukherjee P, Nelson LD, Noel F, Okonkwo DO, Palacios E, Perl D, Puccio A, Rabinowitz M, Robertson CS, Rosand J, Sander A, Satris G, Schnyer D, Seabury S, Sherer M, Stein MB, Taylor S, Toga A, Temkin N, Valadka A, Vassar MJ, Vespa P, Wang K, Yue JK, Yuh E, Zafonte R. Risk of Posttraumatic Stress Disorder and Major Depression in Civilian Patients After Mild Traumatic Brain Injury: A TRACK-TBI Study. JAMA Psychiatry 2019; 76:249-258. [PMID: 30698636 PMCID: PMC6439818 DOI: 10.1001/jamapsychiatry.2018.4288] [Citation(s) in RCA: 160] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
IMPORTANCE Traumatic brain injury (TBI) has been associated with adverse mental health outcomes, such as posttraumatic stress disorder (PTSD) and major depressive disorder (MDD), but little is known about factors that modify risk for these psychiatric sequelae, particularly in the civilian sector. OBJECTIVE To ascertain prevalence of and risk factors for PTSD and MDD among patients evaluated in the emergency department for mild TBI (mTBI). DESIGN, SETTING, AND PARTICIPANTS Prospective longitudinal cohort study (February 2014 to May 2018). Posttraumatic stress disorder and MDD symptoms were assessed using the PTSD Checklist for DSM-5 and the Patient Health Questionnaire-9 Item. Risk factors evaluated included preinjury and injury characteristics. Propensity score weights-adjusted multivariable logistic regression models were performed to assess associations with PTSD and MDD. A total of 1155 patients with mTBI (Glasgow Coma Scale score, 13-15) and 230 patients with nonhead orthopedic trauma injuries 17 years and older seen in 11 US hospitals with level 1 trauma centers were included in this study. MAIN OUTCOMES AND MEASURES Probable PTSD (PTSD Checklist for DSM-5 score, ≥33) and MDD (Patient Health Questionnaire-9 Item score, ≥15) at 3, 6, and 12 months postinjury. RESULTS Participants were 1155 patients (752 men [65.1%]; mean [SD] age, 40.5 [17.2] years) with mTBI and 230 patients (155 men [67.4%]; mean [SD] age, 40.4 [15.6] years) with nonhead orthopedic trauma injuries. Weights-adjusted prevalence of PTSD and/or MDD in the mTBI vs orthopedic trauma comparison groups at 3 months was 20.0% (SE, 1.4%) vs 8.7% (SE, 2.2%) (P < .001) and at 6 months was 21.2% (SE, 1.5%) vs 12.1% (SE, 3.2%) (P = .03). Risk factors for probable PTSD at 6 months after mTBI included less education (adjusted odds ratio, 0.89; 95% CI, 0.82-0.97 per year), being black (adjusted odds ratio, 5.11; 95% CI, 2.89-9.05), self-reported psychiatric history (adjusted odds ratio, 3.57; 95% CI, 2.09-6.09), and injury resulting from assault or other violence (adjusted odds ratio, 3.43; 95% CI, 1.56-7.54). Risk factors for probable MDD after mTBI were similar with the exception that cause of injury was not associated with increased risk. CONCLUSIONS AND RELEVANCE After mTBI, some individuals, on the basis of education, race/ethnicity, history of mental health problems, and cause of injury were at substantially increased risk of PTSD and/or MDD. These findings should influence recognition of at-risk individuals and inform efforts at surveillance, follow-up, and intervention.
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Affiliation(s)
- Murray B. Stein
- Department of Psychiatry, University of California San Diego, La Jolla,Department of Family Medicine & Public Health, University of California San Diego, La Jolla,VA San Diego Healthcare System, San Diego, California
| | - Sonia Jain
- Department of Family Medicine & Public Health, University of California San Diego, La Jolla
| | - Joseph T. Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts,Spaulding Rehabilitation Hospital, Charlestown, Massachusetts
| | - Harvey Levin
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Sureyya Dikmen
- Department of Rehabilitation Medicine, University of Washington, Seattle
| | - Lindsay D. Nelson
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee
| | - Mary J. Vassar
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California,Department of Neurological Surgery, University of California, San Francisco
| | - David O. Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | | | - Claudia S. Robertson
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Pratik Mukherjee
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California,Department of Radiology & Biomedical Imaging, University of California, San Francisco,Department of Bioengineering & Therapeutic Sciences, University of California, San Francisco
| | - Michael McCrea
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee
| | | | - John K. Yue
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Esther Yuh
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California,Department of Radiology & Biomedical Imaging, University of California, San Francisco,Department of Bioengineering & Therapeutic Sciences, University of California, San Francisco
| | - Xiaoying Sun
- Department of Family Medicine & Public Health, University of California San Diego, La Jolla
| | | | - Nancy Temkin
- Department of Neurological Surgery, University of Washington, Seattle,Department of Biostatistics, University of Washington, Seattle
| | - Geoffrey T. Manley
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California,Department of Neurological Surgery, University of California, San Francisco
| | | | | | | | - Kim Boase
- Department of Rehabilitation Medicine, University of Washington, Seattle
| | | | | | - Randall Chesnut
- Department of Neurological Surgery, University of Washington, Seattle
| | | | | | | | - Sureyya Dikmen
- Department of Rehabilitation Medicine, University of Washington, Seattle
| | | | | | - V Ramana Feeser
- Department of Emergency Medicine, Virginia Commonwealth University, Richmond
| | - Adam Ferguson
- Department of Neurological Surgery, University of California, San Francisco
| | | | - Raquel Gardner
- Department of Neurology, University of California, San Francisco
| | | | - Joseph T Giacino
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts.,Spaulding Rehabilitation Hospital, Charlestown, Massachusetts
| | | | - Shankar Gopinath
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | | | | | | | - Sonia Jain
- Department of Family Medicine & Public Health, University of California San Diego, La Jolla
| | - Frederick Korley
- Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor
| | - Joel Kramer
- Department of Neurology, University of California, San Francisco
| | | | - Harvey Levin
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Chris Lindsell
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Joan Machamer
- Department of Rehabilitation Medicine, University of Washington, Seattle
| | - Christopher Madden
- Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, Texas
| | - Alastair Martin
- Department of Radiology & Biomedical Imaging, University of California, San Francisco
| | - Thomas McAllister
- Department of Psychiatry, Indiana University School of Medicine, Indianapolis
| | - Michael McCrea
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee
| | - Randall Merchant
- Department of Anatomy and Neurobiology, Virginia Commonwealth University, Richmond
| | - Pratik Mukherjee
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California.,Department of Radiology & Biomedical Imaging, University of California, San Francisco.,Department of Bioengineering & Therapeutic Sciences, University of California, San Francisco
| | - Lindsay D Nelson
- Departments of Neurosurgery and Neurology, Medical College of Wisconsin, Milwaukee
| | - Florence Noel
- Dan L. Duncan Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas
| | - David O Okonkwo
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Eva Palacios
- Department of Radiology & Biomedical Imaging, University of California, San Francisco
| | - Daniel Perl
- Department of Pathology, Uniformed Services University, Bethesda, Maryland
| | - Ava Puccio
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Miri Rabinowitz
- Department of Neurology, University of Pennsylvania, Philadelphia
| | - Claudia S Robertson
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | | | - Angelle Sander
- Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas
| | - Gabriela Satris
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - David Schnyer
- Department of Psychology, University of Texas at Austin, Austin
| | | | | | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla.,Department of Family Medicine & Public Health, University of California San Diego, La Jolla.,VA San Diego Healthcare System, San Diego, California
| | - Sabrina Taylor
- Department of Neurological Surgery, University of California, San Francisco
| | - Arthur Toga
- University of Southern California, Los Angeles
| | - Nancy Temkin
- Department of Neurological Surgery, University of Washington, Seattle.,Department of Biostatistics, University of Washington, Seattle
| | - Alex Valadka
- Department of Neurosurgery, Virginia Commonwealth University, Richmond
| | - Mary J Vassar
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California.,Department of Neurological Surgery, University of California, San Francisco
| | - Paul Vespa
- Department of Neurology, University of California Los Angeles School of Medicine, Los Angeles
| | - Kevin Wang
- Department of Psychiatry, University of Florida, Gainesville
| | - John K Yue
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
| | - Esther Yuh
- Brain and Spinal Cord Injury Center, Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California.,Department of Radiology & Biomedical Imaging, University of California, San Francisco.,Department of Bioengineering & Therapeutic Sciences, University of California, San Francisco
| | - Ross Zafonte
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, Massachusetts
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Affiliation(s)
- Tina Fuller
- At Carolinas HealthCare System in Charlotte, N.C., Tina Fuller is a senior application specialist and Becky Fox is assistant vice president and chief nursing informatics officer. Donna Lake is a clinical assistant professor at East Carolina University in Greenville, N.C. Karen Crawford is a clinical informatics coordinator at Carolinas HealthCare System Cleveland in Shelby, N.C
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30
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Landi A, Law J, Hockman D, Logan M, Crawford K, Chen C, Kundu J, Ebensen T, Guzman CA, Deschatelets L, Krishnan L, Tyrrell DLJ, Houghton M. Superior immunogenicity of HCV envelope glycoproteins when adjuvanted with cyclic-di-AMP, a STING activator or archaeosomes. Vaccine 2017; 35:6949-6956. [PMID: 29089195 DOI: 10.1016/j.vaccine.2017.10.072] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 10/17/2017] [Accepted: 10/23/2017] [Indexed: 12/31/2022]
Abstract
Three decades after the discovery, hepatitis C virus (HCV) is still the leading cause of liver transplantation and poses a major threat to global health. In spite of recent advances in the development of direct acting antivirals, there is still a need for a prophylactic vaccine to limit the virus spread and protect at-risk populations, especially in developing countries, where the cost of the new treatments may severely limit access. The use of recombinant HCV glycoproteins E1E2 (rE1E2) in combination with the MF59, an oil-in-water emulsion-based adjuvant, has previously been shown to reduce the rate of chronicity in chimpanzees and to induce production of cross-neutralizing antibodies and cellular immune responses in human volunteers. To further improve neutralizing antibody responses in recipients along with robust T cell responses, we have explored the immunogenicity of different adjuvants when formulated with the HCV rE1E2 vaccine in mice. Our data show that cyclic di-adenosine monophosphate (c-di-AMP) and archaeosomes elicit strong neutralizing antibodies similar to those elicited using aluminum hydroxide/monophosphoryl lipid A (Alum/monophos. /MPLA) and MF59. However, both c-di-AMP and archaeosomes induced a more robust cellular immune response, which was confirmed by the detection of vaccine-specific poly-functional CD4+ T cells. We conclude that these adjuvants may substantially boost the immunogenicity of our E1E2 vaccine. In addition, our data also indicates that use of a partial or exclusive intranasal immunization regimen may also be feasible using c-di-AMP as adjuvant.
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Affiliation(s)
- A Landi
- Li Ka Shing Institute of Virology, Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2E1, Canada; Department of Virology and Department of Immunology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
| | - J Law
- Li Ka Shing Institute of Virology, Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - D Hockman
- Li Ka Shing Institute of Virology, Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - M Logan
- Li Ka Shing Institute of Virology, Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - K Crawford
- Li Ka Shing Institute of Virology, Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - C Chen
- Li Ka Shing Institute of Virology, Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - J Kundu
- Li Ka Shing Institute of Virology, Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - T Ebensen
- Department of Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - C A Guzman
- Department of Vaccinology and Applied Microbiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - L Deschatelets
- Immunobiology Department, Human Health Therapeutics, National Research Council Canada, Montreal, Ottawa, ON K1A 0R6, Canada
| | - L Krishnan
- Immunobiology Department, Human Health Therapeutics, National Research Council Canada, Montreal, Ottawa, ON K1A 0R6, Canada
| | - D L J Tyrrell
- Li Ka Shing Institute of Virology, Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2E1, Canada
| | - M Houghton
- Li Ka Shing Institute of Virology, Department of Medical Microbiology and Immunology, University of Alberta, Edmonton, AB T6G 2E1, Canada.
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Low JK, Williams A, Manias E, Crawford K. ISQUA16-2887PATIENTS’ STORIES: CAN THIS INSIDER VIEW BE USED TO SUPPORT MEDICATION ADHERENCE IN KIDNEY TRANSPLANTATION? Int J Qual Health Care 2016. [DOI: 10.1093/intqhc/mzw104.80] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Armistead B, Crawford K, Ayres A, Tamashiro P, Peron E, Dante S. Observing risk factors for diarrheal disease and malnutrition in rural
Peru. Ann Glob Health 2016. [DOI: 10.1016/j.aogh.2016.04.604] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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33
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Neu SC, Crawford K, Bhatt P, Ashish N, Toga AW. P2‐357: Information Searching in the Global Alzheimer's Association Interactive Network. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.1568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Scott C. Neu
- University of Southern CaliforniaLos AngelesCA USA
| | | | - Priya Bhatt
- University of Southern CaliforniaLos AngelesCA USA
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Pramana A, Browne L, Cox H, Saba A, Pham K, Trakis S, Crawford K, Hall M, Batchelor N, Lim J, Graham P. Abstract P1-16-03: Quantitative versus semi-quantitative assessments of radiation-induced pulmonary fibrosis post adjuvant breast radiotherapy. Cancer Res 2016. [DOI: 10.1158/1538-7445.sabcs15-p1-16-03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Objective
To evaluate the quantitative versus semi-quantitative assessments of radiation induced pulmonary fibrosis (RIPF) post adjuvant breast radiotherapy (RT).
Methods
High resolution computed tomography (HRCT) assessed lung physical density changes (CTD) and physician identified HRCT visual grading scores (CTS) were analysed at the minimum of 12 months post RT at one institution. The treated side in-portal lung regions for CTD and CTS assessments were: central-axis (CA) + regions 5cm superior & inferior to CA and the corresponding mid anterolateral region respectively. Respiratory motion was accounted for by subtracting the untreated side lung density from the treated side. Mean lung densities correspond to each voxels were automatically calculated by Pinnacle software (Phillips, Eindhoven, The-Netherlands). Grading of CTS was according to the RTOG/EORTC (grade 0, 1, 2, and 3 defined as none, slight, patchy, and dense HRCT appearance respectively) and analysed by a radiologist (JL) and re-checked a radiation oncologist (PG).
Results
Total numbers of 403 patients were analysed. A substantial association was verified between CTD and CTS assessment. An increase of ∼0.01 g/ml (95% CI 0.003-0.02) in CTD with each CTS score increase of 1 was observed (Table-1a). The RIPF can be categorised quantitatively into three groups of CTS 0 vs. 1-2 vs. 3 based on the mean CTD (Table-1b).
Table-1a. Correlation between CTD and CTS method. Table-1b. Grouping of CTS based on CTD methodTable-1a. Correlation between CTD and CTS methodCTSTreated side mean CTD - LeftTreated side mean CTD - RightMean Total00.055 (119)-0.011 (136)0.020 (255)10.065 (60)0.005 (56)0.036 (116)20.083 (15)0.012 (13)0.050 (28)30.108 (4)00.108 (4)Total0.061 (198)-0.005 (205)0.028 (403)Table-1b. Grouping of CTS based on CTD methodCTSTreated side mean CTD - LeftTreated side mean CTD - RightMean Total95% Confidence interval00.055 (119)-0.011 (136)0.020 (255)0.012-0.0271-20.069 (75)0.006 (69)0.039 (144)0.029-0.04830.108 (4)00.108 (4)0.079-0.137
A cut off CTD of 0.089 g/ml exemplified the best compromise between sensitivity (100%) and specificity (88.2%) for dense HRCT appearance. However, there was no good compromise of CTD cut off for slight and patchy HRCT score possibly due to intra observer variation and the scale of the CTD measure (small increase in CTD may not be detected visually by the observer). Multivariable analysis revealed increasing age, current smoker, V20 ≥ 10% (the volume of lung that was covered by the 20Gy isodose line), central lung distance ≥ 2cm (the distance between posterior RT tangents and the chest wall), combined endocrine & chemotherapy, and treated side mean CTD to be significantly associated with development of grade ≥1 RIPF.
Conclusions
There was a good correlation between quantitative (CTD) and semi-quantitative (CTS) assessment of RIPF post adjuvant breast RT. The CTD method could be advantageous for both routine clinical practice and future clinical trials that require more detailed quantification of dense RIPF.
Citation Format: Pramana A, Browne L, Cox H, Saba A, Pham K, Trakis S, Crawford K, Hall M, Batchelor N, Lim J, Graham P. Quantitative versus semi-quantitative assessments of radiation-induced pulmonary fibrosis post adjuvant breast radiotherapy. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P1-16-03.
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Affiliation(s)
- A Pramana
- St George Cancer Care Centre, Sydney, NSW, Australia; St George Hospital, Sydney, NSW, Australia; The University of New South Wales, Sydney, NSW, Australia
| | - L Browne
- St George Cancer Care Centre, Sydney, NSW, Australia; St George Hospital, Sydney, NSW, Australia; The University of New South Wales, Sydney, NSW, Australia
| | - H Cox
- St George Cancer Care Centre, Sydney, NSW, Australia; St George Hospital, Sydney, NSW, Australia; The University of New South Wales, Sydney, NSW, Australia
| | - A Saba
- St George Cancer Care Centre, Sydney, NSW, Australia; St George Hospital, Sydney, NSW, Australia; The University of New South Wales, Sydney, NSW, Australia
| | - K Pham
- St George Cancer Care Centre, Sydney, NSW, Australia; St George Hospital, Sydney, NSW, Australia; The University of New South Wales, Sydney, NSW, Australia
| | - S Trakis
- St George Cancer Care Centre, Sydney, NSW, Australia; St George Hospital, Sydney, NSW, Australia; The University of New South Wales, Sydney, NSW, Australia
| | - K Crawford
- St George Cancer Care Centre, Sydney, NSW, Australia; St George Hospital, Sydney, NSW, Australia; The University of New South Wales, Sydney, NSW, Australia
| | - M Hall
- St George Cancer Care Centre, Sydney, NSW, Australia; St George Hospital, Sydney, NSW, Australia; The University of New South Wales, Sydney, NSW, Australia
| | - N Batchelor
- St George Cancer Care Centre, Sydney, NSW, Australia; St George Hospital, Sydney, NSW, Australia; The University of New South Wales, Sydney, NSW, Australia
| | - J Lim
- St George Cancer Care Centre, Sydney, NSW, Australia; St George Hospital, Sydney, NSW, Australia; The University of New South Wales, Sydney, NSW, Australia
| | - P Graham
- St George Cancer Care Centre, Sydney, NSW, Australia; St George Hospital, Sydney, NSW, Australia; The University of New South Wales, Sydney, NSW, Australia
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Crawford K, Digby R, Bloomer M, Tan H, Williams A. Transitioning from caregiver to visitor in a long-term care facility: the experience of caregivers of people with dementia. Aging Ment Health 2016; 19:739-46. [PMID: 25266371 DOI: 10.1080/13607863.2014.962008] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVES Transitioning from the primary caregiver to the visitor in a long-term care facility may be challenging for the caregiver; they are required to surrender their caring duties to the medical and nursing staff. The aim of this study was to explore the experiences of caregivers during their transition from day-to-day caregiver of a person with dementia to a visitor in a long-term care facility. METHODS This study utilised a qualitative descriptive design. Twenty caregivers of people with dementia were recruited from the one Aged Rehabilitation and Geriatric Evaluation and Management facility, located in Victoria, Australia. Semi-structured interviews were used to explore the caregiver's experiences. Interviews were analysed using thematic analysis. RESULTS The interview data revealed that the participants were undergoing similar experiences. The findings revealed that it was difficult for the caregiver to transition to their new role of visitor; negative reactions of grief, loss of motivation and loneliness were also coupled with positive feelings of relief and the reassurance that their relative or friend would be well cared for and safe within the long-term care facility. CONCLUSION The findings offer insight into the experiences felt by caregivers when their relative or friend with dementia is admitted to hospital. Implications of this study include the need to improve the transition process for the caregiver by allowing them to be involved in the decision-making process, keeping them informed of care decisions, and importantly, providing emotional support to help the caregiver positively adapt to this transition.
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Affiliation(s)
- K Crawford
- a School of Nursing and Midwifery, Faculty of Medicine, Nursing and Health Sciences , Monash University , Melbourne , Australia
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Liebeskind DS, Albers GW, Crawford K, Derdeyn CP, George MS, Palesch YY, Toga AW, Warach S, Zhao W, Brott TG, Sacco RL, Khatri P, Saver JL, Cramer SC, Wolf SL, Broderick JP, Wintermark M. Imaging in StrokeNet: Realizing the Potential of Big Data. Stroke 2015; 46:2000-6. [PMID: 26045600 DOI: 10.1161/strokeaha.115.009479] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2015] [Accepted: 05/13/2015] [Indexed: 01/07/2023]
Affiliation(s)
- David S Liebeskind
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.).
| | - Gregory W Albers
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Karen Crawford
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Colin P Derdeyn
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Mark S George
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Yuko Y Palesch
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Arthur W Toga
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Steven Warach
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Wenle Zhao
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Thomas G Brott
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Ralph L Sacco
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Pooja Khatri
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Jeffrey L Saver
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Steven C Cramer
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Steven L Wolf
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Joseph P Broderick
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
| | - Max Wintermark
- From the Neurovascular Imaging Research Core (D.S.L.) and Department of Neurology, Comprehensive Stroke Center, Geffen School of Medicine (D.S.L., J.L.S.), University of California, Los Angeles; Departments of Neurology (G.W.A.) and Radiology (M.W.), Stanford University, Palo Alto, CA; Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Los Angeles (K.C., A.W.T.); Departments of Neurology and Neurological Surgery, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (C.P.D.); Departments of Psychiatry, Radiology, and Neuroscience (M.S.G.) and Public Health Sciences (Y.Y.P., W.Z.), Medical University of South Carolina, Charleston; Ralph H Johnson VA Medical Center, Charleston, SC (M.S.G.); University of Texas Southwestern Medical Center, Austin (S.W.); Department of Neurology, Mayo Clinic, Jacksonville, FL (T.G.B.); Departments of Neurology, Public Health Sciences, Human Genetics, and Neurosurgery, Miller School of Medicine, University of Miami, FL (R.L.S.); Department of Neurology, University of Cincinnati, OH (P.K., J.P.B.); Department of Neurology, University of California, Irvine (S.C.C.); and Department of Rehabilitation Medicine, Emory University School of Medicine and Center for Visual and Cognitive Neurorehabilitation, Atlanta VA Medical Center, GA (S.L.W.)
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Pramana A, Browne L, Or M, Saba S, Pham K, Trakis S, Crawford K, Hall M, Batchelor N, Graham P. Lung volume changes after adjuvant breast cancer radiotherapy. Breast 2015. [DOI: 10.1016/j.breast.2015.02.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Shaikh T, Zaorsky NG, Ruth K, Chen DY, Greenberg RE, Li J, Crawford K, Horwitz EM. Is it necessary to perform week three dosimetric analysis in low-dose-rate brachytherapy for prostate cancer when day 0 dosimetry is done? A quality assurance assessment. Brachytherapy 2015; 14:316-21. [PMID: 25454576 PMCID: PMC4424094 DOI: 10.1016/j.brachy.2014.09.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2014] [Revised: 09/29/2014] [Accepted: 09/30/2014] [Indexed: 10/24/2022]
Abstract
PURPOSE To determine whether computed tomography/magnetic resonance imaging-based day 0 (d0) dosimetry is a meaningful predictor of day 21 (d21) dosimetry in low-dose-rate brachytherapy for localized prostate cancer. METHODS AND MATERIALS The study population consisted of 277 men with localized (T1-2 N0 M0), low-/intermediate-risk prostate cancer treated with low-dose-rate brachytherapy. Computed tomography/magnetic resonance imaging fusion was used for postimplant dosimetry at d0 and d21. Logistic regression was used to construct receiver operating characteristic curves for achieving each constraint at d21, based on d0 D90 and V100, and Youden's index was used to evaluate cutpoints. Freedom from biochemical failure (FBCF) was estimated with the Kaplan-Meier method. RESULTS The median d0 D90 increased from 133 to 150 Gy at d21, and median d0 V100 increased from 87% to 91%. For achieving the D90 constraint at d21, the optimal cut-point for d0 D90 was 135 Gy, with 84% of these patients maintaining a d21 D90 > 145 Gy. For achieving the D90 constraint at d21, the optimal cut-point for d0 V100 was 87%, with 83% of these patients maintained a d21 V100 > 90%. There was no improvement in FBCF in patients with a d0 D90 > 135 Gy or D90 > 145 Gy. Similarly, there was no improvement in FBCF in patients with a d0 V100 > 87% or V100 > 90%. CONCLUSIONS Meeting dosimetric constraints on d0 does not obviate d21 dosimetric analysis. Constraints used for dose prescriptions on d0 are not the ideal predictors of d21 dosimetry.
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Affiliation(s)
- T Shaikh
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, PA
| | - N G Zaorsky
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, PA
| | - K Ruth
- Department of Biostatistics, Fox Chase Cancer Center, Philadelphia, PA
| | - D Y Chen
- Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA
| | - R E Greenberg
- Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA
| | - J Li
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, PA
| | - K Crawford
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, PA
| | - E M Horwitz
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, PA.
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Abstract
OBJECTIVES Transfusion of blood products is an important component of veterinary emergency medicine. Donors must be carefully selected to minimise risk of transmission of blood-borne infectious agents. This study was devised to assess the prevalence of such agents in healthy, non-travelled UK dogs screened as prospective donors. METHODS Ethylenediaminetetraacetic acid blood samples from dogs donating blood between August 2007 and January 2012 were screened by polymerase chain reaction for haemotropic mycoplasmas, Bartonella, Babesia, Leishmania, Ehrlichia and Anaplasma spp. Dogs with positive or inconclusive results underwent repeat polymerase chain reaction testing. RESULTS Four of 262 dogs had positive or inconclusive results at initial screening. Repeat polymerase chain reaction testing in each dog was negative, and none of the dogs developed clinical signs of disease. CLINICAL SIGNIFICANCE The positive results on initial screening may have represented false positives from sample contamination or amplification of non-target DNA. It is also possible that dogs were infected at initial sampling but successfully cleared infection before repeat testing. The low number of positive results obtained suggests that prevalence of these agents in a population of healthy UK dogs is low and that use of blood products is unlikely to represent a significant risk of transmission of these diseases.
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Affiliation(s)
- K Crawford
- School of Veterinary Sciences & Langford Veterinary Services, University of Bristol, Langford, Bristol, BS40 5DU
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Crawford K, Warman SM, Marques AI, Yool DA, Eckersall PD, McCulloch E, Lynn K, Mellanby RJ, Gow AG. Serum haptoglobin concentrations in dogs with liver disease. Vet Rec 2013; 173:579. [DOI: 10.1136/vr.101306] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- K. Crawford
- Northwest Surgeons; Delamere House, Ashville Point Sutton Weaver Cheshire WA7 3FW UK
- Department of Clinical Veterinary Science; University of Bristol; Langford House Langford Bristol BS40 5DU UK
| | - S. M. Warman
- Department of Clinical Veterinary Science; University of Bristol; Langford House Langford Bristol BS40 5DU UK
| | - A. I. Marques
- Division of Veterinary Clinical Studies; Royal (Dick) School of Veterinary Studies; The Roslin Institute; The University of Edinburgh; Hospital for Small Animals; Easter Bush Veterinary Centre Roslin Midlothian EH25 9RG UK
| | - D. A. Yool
- Division of Veterinary Clinical Studies; Royal (Dick) School of Veterinary Studies; The Roslin Institute; The University of Edinburgh; Hospital for Small Animals; Easter Bush Veterinary Centre Roslin Midlothian EH25 9RG UK
| | - P. D. Eckersall
- Division of Animal Production & Public Health; Faculty of Veterinary Medicine; Institute of Comparative Medicine; University of Glasgow; Bearsden Road Glasgow G61 1QH UK
| | - E. McCulloch
- ReactivLab Ltd; Garscube Estate, Bearsden Rd Glasgow G61 1QH UK
| | - K. Lynn
- ReactivLab Ltd; Garscube Estate, Bearsden Rd Glasgow G61 1QH UK
| | - R. J. Mellanby
- Division of Veterinary Clinical Studies; Royal (Dick) School of Veterinary Studies; The Roslin Institute; The University of Edinburgh; Hospital for Small Animals; Easter Bush Veterinary Centre Roslin Midlothian EH25 9RG UK
| | - A. G. Gow
- Division of Veterinary Clinical Studies; Royal (Dick) School of Veterinary Studies; The Roslin Institute; The University of Edinburgh; Hospital for Small Animals; Easter Bush Veterinary Centre Roslin Midlothian EH25 9RG UK
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Wyman BT, Harvey DJ, Crawford K, Bernstein MA, Carmichael O, Cole PE, Crane PK, DeCarli C, Fox NC, Gunter JL, Hill D, Killiany RJ, Pachai C, Schwarz AJ, Schuff N, Senjem ML, Suhy J, Thompson PM, Weiner M, Jack CR. Standardization of analysis sets for reporting results from ADNI MRI data. Alzheimers Dement 2012; 9:332-7. [PMID: 23110865 DOI: 10.1016/j.jalz.2012.06.004] [Citation(s) in RCA: 130] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2012] [Accepted: 06/19/2012] [Indexed: 01/31/2023]
Abstract
The Alzheimer's Disease Neuroimaging Initiative (ADNI) three-dimensional T1-weighted magnetic resonance imaging (MRI) acquisitions provide a rich data set for developing and testing analysis techniques for extracting structural endpoints. To promote greater rigor in analysis and meaningful comparison of different algorithms, the ADNI MRI Core has created standardized analysis sets of data comprising scans that met minimum quality control requirements. We encourage researchers to test and report their techniques against these data. Standard analysis sets of volumetric scans from ADNI-1 have been created, comprising screening visits, 1-year completers (subjects who all have screening, 6- and 12-month scans), 2-year annual completers (screening, 1-year and 2-year scans), 2-year completers (screening, 6-months, 1-year, 18-months [mild cognitive impaired (MCI) only], and 2-year scans), and complete visits (screening, 6-month, 1-year, 18-month [MCI only], 2-year, and 3-year [normal and MCI only] scans). As the ADNI-GO/ADNI-2 data become available, updated standard analysis sets will be posted regularly.
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Gow AG, Marques AI, Yool DA, Crawford K, Warman SM, Eckersall PD, Jalan R, Mellanby RJ. Dogs with congenital porto-systemic shunting (cPSS) and hepatic encephalopathy have higher serum concentrations of C-reactive protein than asymptomatic dogs with cPSS. Metab Brain Dis 2012; 27:227-9. [PMID: 22354751 DOI: 10.1007/s11011-012-9278-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2011] [Accepted: 01/25/2012] [Indexed: 01/26/2023]
Abstract
Hepatic encephalopathy (HE) is a cause of significant morbidity and mortality in patients with liver disorders and a wide range of rodent models of HE have been described to facilitate studies into the pathogenesis and treatment of HE. However, it is widely acknowledged that no individual model perfectly mimics human HE and there is a particular need for spontaneous, larger animal models. One common congenital abnormality in dogs is the portosystemic shunt (cPSS) which causes clinical signs that are similar to human HE such as ataxia, disorientation, lethargy and occasionally coma. As inflammation has recently been shown to be associated with HE in humans, we hypothesised that inflammation would similarly be associated with HE in dogs with cPSS. To examine this hypothesis we measured C-reactive protein (CRP) in 30 healthy dogs, 19 dogs with a cPSS and no HE and 27 dogs with a cPSS and overt HE. There was a significant difference in CRP concentration between healthy dogs and dogs with HE (p < 0.001) and between dogs with HE and without HE (p < 0.05). The novel finding that there is an association between inflammation and canine HE strengthens the concept that HE in dogs with cPSS shares a similar pathogenesis to humans with HE. Consequently, dogs with a cPSS may be a good spontaneous model of human HE in which to further examine the role of inflammation and development of HE.
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Affiliation(s)
- A G Gow
- Royal (Dick) School of Veterinary Studies and The Roslin Institute, Division of Veterinary Clinical Studies, The University of Edinburgh, Hospital for Small Animals, Easter Bush Veterinary Centre, Midlothian, UK
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Abubakar I, Matthews T, Harmer D, Okereke E, Crawford K, Hall T, Collyns T, Smith G, Barrett A, Baugh S. Assessing an outbreak of tuberculosis in an English college population. Eur Respir J 2012; 38:976-8. [PMID: 21965501 DOI: 10.1183/09031936.00031711] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Pohar S, Crawford K, Green-Mitchell S, Crandley E, Semmes J, Drake R, Nyalwidhe J, Wadsworth J, Britten R. High Serum Levels of DNMT1 and Distant Failure in Head and Neck Cancer. Int J Radiat Oncol Biol Phys 2011. [DOI: 10.1016/j.ijrobp.2011.06.821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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Abubakar I, Matthews T, Harmer D, Okereke E, Crawford K, Hall T, Collyns T, Smith G, Barrett A, Baugh S. Assessing the effect of foreign travel and protection by BCG vaccination on the spread of tuberculosis in a low incidence country, United Kingdom, October 2008 to December 2009. Euro Surveill 2011. [DOI: 10.2807/ese.16.12.19826-en] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Binary file ES_Abstracts_Final_ECDC.txt matches
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Affiliation(s)
- I Abubakar
- These authors contributed equally to the manuscript
- Tuberculosis Section, Health Protection Agency Centre for Infections, Colindale, London, United Kingdom
| | - T Matthews
- North Yorkshire and Humber Health Protection Unit, Hull, United Kingdom
- These authors contributed equally to the manuscript
| | - D Harmer
- North Yorkshire and Humber Health Protection Unit, Hull, United Kingdom
| | - E Okereke
- Health Protection Agency Yorkshire and Humber, Leeds, United Kingdom
| | - K Crawford
- North Yorkshire and Humber Health Protection Unit, Hull, United Kingdom
| | - T Hall
- North Yorkshire and Humber Health Protection Unit, Hull, United Kingdom
| | - T Collyns
- Leeds Teaching Hospitals Trust, St James' University Hospital, Leeds, United Kingdom
| | - G Smith
- Health Protection Agency Regional Centre for Mycobacteriology, Birmingham, United Kingdom
| | - A Barrett
- Health Protection Agency Regional Centre for Mycobacteriology, Newcastle, United Kingdom
| | - S Baugh
- Northern Lincolnshire and Goole Hospitals National Health Service Foundation Trust, United Kingdom
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Abubakar I, Matthews T, Harmer D, Okereke E, Crawford K, Hall T, Collyns T, Smith G, Barrett A, Baugh S. Assessing the effect of foreign travel and protection by BCG vaccination on the spread of tuberculosis in a low incidence country, United Kingdom, October 2008 to December 2009. Euro Surveill 2011; 16:19826. [PMID: 21457684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2023] Open
Abstract
The contribution of travel to high incidence countries and the impact of the discontinuation of universal Bacillus Calmette–Guérin (BCG) vaccination to there cent rise in tuberculosis (TB) in the United Kingdom remain unclear. An outbreak in a college presented an opportunity to assess these. A cohort of students answered a questionnaire assessing risk factors for TB.Participants were screened with an interferon gamma release assay (IGRA). Unadjusted and adjusted odds ratios (OR) were calculated using logistic regression.Among 2,284 students, 400 (17.5%) were diagnosed with TB infection. A higher risk was noted for travel to a high incidence area in the past two years (OR: 1.39;95% confidence interval (CI): 1.04–1.89) and among those with the greatest exposure to the index case(OR: 3.94; 95% CI: 2.60–5.97). There was no association between BCG and risk of infection (OR: 1.05; 95%CI: 0.80–1.39). The lack of a protective effect by BCG on TB infection supports the discontinuation of universal vaccination. The association with foreign travel suggests the need to assess the cost-effectiveness of serial IGRA testing and treatment of positive persons among returning travellers.
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Affiliation(s)
- I Abubakar
- Tuberculosis Section, Health Protection Agency Centre for Infections, Colindale, London, United Kingdom.
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Kobayashi R, Crawford K, McBride L. The Feasibility of Self-administration of Subcutaneous Immunoglobulin in a Diverse Patient Population. J Allergy Clin Immunol 2010. [DOI: 10.1016/j.jaci.2009.12.957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Nowak K, Ravenscroft G, Jackaman C, Lim E, Squire S, Potter A, Fisher R, Morling P, Griffiths L, Papadimitriou J, Sewry C, Fabian V, Lessard J, Crawford K, Bakker A, Davies K, Laing N. T.O.3 Transgenic expression of cardiac actin rescues skeletal actin-null mice. Neuromuscul Disord 2007. [DOI: 10.1016/j.nmd.2007.06.458] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Li J, Horwitz E, Buyyounouski M, McNeeley S, Crawford K, Ma C. SU-DD-A1-06: Do Stranded Seeds Improve the Quality of Permanent Prostate Seed Implant? Med Phys 2007. [DOI: 10.1118/1.2760344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Affiliation(s)
- Karen Crawford
- BiologySt. Mary's College of Maryland18952 E. Fisher Rd.St. Mary's CityMD20686
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