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Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.
Methods
T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).
Results
PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).
Conclusions
PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.
Vaccines have revolutionised the field of medicine, eradicating and controlling many diseases. Recent pandemic vaccine successes have highlighted the accelerated pace of vaccine development and deployment. Leveraging this momentum, attention has shifted to cancer vaccines and personalised cancer vaccines, aimed at targeting individual tumour-specific abnormalities. The UK, now regarded for its vaccine capabilities, is an ideal nation for pioneering cancer vaccine trials. This article convened experts to share insights and approaches to navigate the challenges of cancer vaccine development with personalised or precision cancer vaccines, as well as fixed vaccines. Emphasising partnership and proactive strategies, this article outlines the ambition to harness national and local system capabilities in the UK; to work in collaboration with potential pharmaceutic partners; and to seize the opportunity to deliver the pace for rapid advances in cancer vaccine technology.
Determining a reliable method to detect life on another planet is an essential first step in the pursuit of discovering extraterrestrial life. Polyhydroxyalkanoates (PHAs), bioplastic polymers created by microorganisms, are strong candidates for defining the presence of extraterrestrial life due to their water insolubility, strong ultraviolet resistance, high melting points and high crystallinity, amongst other qualities. PHAs are abundant on Earth, and their chemical properties can easily be distinguished from non-biological matter. Their widespread distribution and conferred resistance to astrobiologically relevant extreme environments render PHAs highly favourable candidates for astrobiological detection. Integrating detection of PHA biosignatures into current and future life-detection instruments would be useful for the planetary search for life. PHAs are analysed and characterized in laboratories by gas chromatography-mass spectrometry, infrared spectroscopy, Raman spectroscopy and immunoassay analysis in addition to other methods. We outline a path forward to integrate PHA detection in astrobiology missions to aid the search for extraterrestrial life.
The value of Source Data Verification (SDV) has been a common theme in the applied Clinical Translational Science literature. Yet, few published assessments of SDV quality exist even though they are needed to design risk-based and reduced monitoring schemes. This review was conducted to identify reports of SDV quality, with a specific focus on accuracy.
Methods:
A scoping review was conducted of the SDV and clinical trial monitoring literature to identify articles addressing SDV quality. Articles were systematically screened and summarized in terms of research design, SDV context, and reported measures.
Results:
The review found significant heterogeneity in underlying SDV methods, domains of SDV quality measured, the outcomes assessed, and the levels at which they were reported. This variability precluded comparison or pooling of results across the articles. No absolute measures of SDV accuracy were identified.
Conclusions:
A definitive and comprehensive characterization of SDV process accuracy was not found. Reducing the SDV without understanding the risk of critical findings going undetected, i.e., SDV sensitivity, is counter to recommendations in Good Clinical Practice and the principles of Quality by Design. Reference estimates (or methods to obtain estimates) of SDV accuracy are needed to confidently design risk-based, reduced SDV processes for clinical studies.
Cognitive difficulties among diffuse glioma survivors are common in survivorship due to cancer treatment effects (i.e., surgery, chemotherapy, and/or radiation therapy), which can diminish quality of life. Routine monitoring of cognitive symptoms in survivorship is recommended and can help address patient needs and inform clinical interventions (e.g., cognitive rehabilitation). While several patient-reported outcome (PRO) measures have been used in brain tumor populations, there has been few studies comparing the performance of these PROs in patients with diffuse glioma. In order to better understand the value of different PROs, we conducted preliminary analyses associating cognitive PROs with neuropsychological impairment in a well-characterized sample of patients with diffuse glioma.
Participants and Methods:
23 glioma patients (mean aged 44.26 ± 12.24), six or more months after completing cancer treatment, underwent comprehensive psychosocial and neuropsychological assessments. The neuropsychological battery included the Hopkins Verbal Learning Test - Revised, Brief Visuospatial Memory Test - Revised, Wechsler Adult Intelligence Scale-IV tests of Coding and Digit Span, Trail-Making Test, Stroop Test, FAS, Animals, Boston Naming Test, and Rey-Osterrieth Complex Figure (copy). Completed cognitive PROs included the Functional Assessment of Cancer - Cognitive Function and Brain questionnaires (FACT-Cog; FACT-Br), the European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire for Brain Neoplasms (EORTC QLQ-BN20), and the Multidimensional Fatigue Symptom Inventory, short form (MFSI-SF) Mental subscale. Based on published norms, we divided the sample into cognitively impaired and non-impaired groups (two or more primary neuropsychological test scores <= -2 z-score). We compared PRO scores between impaired and non-impaired groups using Mann-Whitney U tests. Higher medians equate to better cognitive functioning for all PROs, except for the MSFI-SF.
Results:
We found significantly worse scores in the impaired group compared to non-impaired group on the FACT-Cog subscales of perceived cognitive ability (PCA), [Non-Impaired (Mdn = 21, n = 11), Impaired (Mdn = 10, n = 12), U = 22.5, z = -2.68, = 0.007], perceived cognitive impairment (PCI), [Non-Impaired (Mdn = 59, n = 11), Impaired (Mdn = 44, n = 12), U = 32.5, z = -2.06, p=0.039]. The impaired group also trended towards worse scores on the FACT-Br additional concerns subscale [Non-Impaired (Mdn = 79.5, n = 10), Impaired (Mdn = 61, n = 12), U = 32.5, z = -1.81, p=0.07]. Group differences were not observed on the MSFI-SF [Non-Impaired (Mdn = 5, n = 11), Impaired (Mdn = 7, n = 12), U = 40.5, z = -1.57, p=0.12], or EORTC Cognitive Functioning subscale [Non-Impaired (Mdn = 83.33, n = 10), Impaired (Mdn = 75, n = 12), U = 42, z = -1.23, p=0.218].
Conclusions:
The preliminary findings suggest that the FACT-Cog, especially the PCA and PCI correspond with neuropsychological impairment among diffuse glioma survivors better than other cognitive PROs. The FACT-Br subscale was somewhat effective. The MFSI-SF Mental and EORTC Cognitive Functioning subscales did not correspond to impairment status. The FACT-Cog is a promising instrument and future work is needed to better determine relative utility of cognitive PROs in this population.
We examined the effect of an antimicrobial stewardship program (ASP), procalcitonin testing and rapid blood-culture identification on hospital mortality in a prospective quality improvement project in critically ill septic adults. Secondarily, we have reported antimicrobial guideline concordance, acceptance of ASP interventions, and antimicrobial and health-resource utilization.
For 147 hospital-onset bloodstream infections, we assessed the sensitivity, specificity, positive predictive value, and negative predictive value of the National Healthcare Safety Network surveillance definitions of central-line–associated bloodstream infections against the gold standard of physician review, examining the drivers of discrepancies and related implications for reporting and infection prevention.
In this national survey, we found that individual patient assessments by pharmacists were more common at facilities using centralized prescribing for nirmetralvir-ritonavir (Paxlovid) than decentralized prescribing. Provider discomfort was initially less with centralized prescribing, but later, there was no difference in provider discomfort based on prescribing mechanism.
In this article, we explore the challenges of global governance and the particular challenge presented by global data governance. We discuss a range of challenges to developing meaningful global governance institutions for regulating how companies and governments around the world manage and utilize consumer data. These challenges are compounded by their global nature and the complexities of Internet-based technologies. We argue that the following gaps exist for effective global data governance: (a) there is no overarching global framework for protecting consumer data, and it is partial and incomplete; (b) there is a lack of data protection for international data transfers, as much of the regulation that is being developed is not global in scale; and (c) new areas of data collection and use compound concerns to effective data governance in a globalized digital world. Moreover, we highlight important needs in terms of both global governance and impending challenges related to current and new uses of data. Any global governance framework should recognize the need for an iterative process where communication is ongoing between the necessary stakeholders. Agreements should incorporate common goals to maximize the potential development of global data governance norms. However, goals must remain flexible to the different data environments across nation-states while maintaining a global scope to ensure data protection. In addition, any agreement should consider the emerging challenges in this area. These challenges include new methods of data collection and use, as well as protecting individuals from manipulation and undue influence based on how their data are being used, processed, and collected.
Substantial progress has been made in the standardization of nomenclature for paediatric and congenital cardiac care. In 1936, Maude Abbott published her Atlas of Congenital Cardiac Disease, which was the first formal attempt to classify congenital heart disease. The International Paediatric and Congenital Cardiac Code (IPCCC) is now utilized worldwide and has most recently become the paediatric and congenital cardiac component of the Eleventh Revision of the International Classification of Diseases (ICD-11). The most recent publication of the IPCCC was in 2017. This manuscript provides an updated 2021 version of the IPCCC.
The International Society for Nomenclature of Paediatric and Congenital Heart Disease (ISNPCHD), in collaboration with the World Health Organization (WHO), developed the paediatric and congenital cardiac nomenclature that is now within the eleventh version of the International Classification of Diseases (ICD-11). This unification of IPCCC and ICD-11 is the IPCCC ICD-11 Nomenclature and is the first time that the clinical nomenclature for paediatric and congenital cardiac care and the administrative nomenclature for paediatric and congenital cardiac care are harmonized. The resultant congenital cardiac component of ICD-11 was increased from 29 congenital cardiac codes in ICD-9 and 73 congenital cardiac codes in ICD-10 to 318 codes submitted by ISNPCHD through 2018 for incorporation into ICD-11. After these 318 terms were incorporated into ICD-11 in 2018, the WHO ICD-11 team added an additional 49 terms, some of which are acceptable legacy terms from ICD-10, while others provide greater granularity than the ISNPCHD thought was originally acceptable. Thus, the total number of paediatric and congenital cardiac terms in ICD-11 is 367. In this manuscript, we describe and review the terminology, hierarchy, and definitions of the IPCCC ICD-11 Nomenclature. This article, therefore, presents a global system of nomenclature for paediatric and congenital cardiac care that unifies clinical and administrative nomenclature.
The members of ISNPCHD realize that the nomenclature published in this manuscript will continue to evolve. The version of the IPCCC that was published in 2017 has evolved and changed, and it is now replaced by this 2021 version. In the future, ISNPCHD will again publish updated versions of IPCCC, as IPCCC continues to evolve.
A novel, broadband, nonlinear behavioral model, based on support vector regression (SVR) is presented in this paper. The proposed model, distinct from existing SVR-based models, incorporates frequency information into its formalism, allowing the model to perform accurate prediction across a wide frequency band. The basic theory of the proposed model, along with model implementation and the model extraction procedure for radio frequency transistor devices is provided. The model is verified through comparisons with the simulation of an equivalent circuit model, as well as experimental measurements of a 10 W Gallium Nitride (GaN) transistor. It is seen that the efficiency prediction throughout the Smith chart, for varying fundamental and second harmonic loads, across a wideband frequency range, show excellent fidelity to the measured results. Device dc self-biasing is also modelled to allow prediction of power amplifier (PA) efficiency, which is shown to be highly accurate when compared with corresponding measured data. Finally, a class-J PA is constructed and measured across the frequency with a large-signal input tone. The resulting measured and modelled values of key PA performance figures are shown to be in excellent agreement, indicating the model is suitable for broadband PA design.
Sustainable Development Goal (SDG) 9 is centered on three main pillars: industry, infrastructure and innovation. With 8 targets and 12 indicators, SDG 9 will have multiple impacts on forests, forest-based livelihoods and forest-based economies. Drawing on a comprehensive literature review, we conclude that major trade-offs will exist between SDG 9 and SDG 15 (sustainable use of terrestrial ecosystems), especially if economic expansion and increasing planetary impacts remain coupled. More specifically, the implementation of Target 9.1 and its corresponding indicators (road, infrastructure and transportation expansion) may lead to irreversible and widespread forest degradation and deforestation. As such, the short- and long-term environmental and social costs of this goal need to be better assessed, especially in light of the fact that other SDG 9 targets (e.g. small-scale industry expansion (Target 9.3); access to information and communications technology (Target 9.c)) may have diverse consequences for forests and livelihoods, depending on how they are applied. We call for reforms of SDG 9 to promote and support alternative socio-economic models that are not based on indefinite economic growth, nor reliant on the ongoing expansion of infrastructure, but, rather, necessitate forests and terrestrial ecosystem services to be essential building blocks of a green and sustainable economy.
Although the conventional wisdom holds that increasing the number of minorityofficers will enhance residents' perceptions of police and the criminal justicesystem, further systematic investigation of this hypothesis may be needed.Building on the group-position thesis, the representative bureaucracy theory,and prior research, this study investigates whether perceived minority policepresence within residents' neighborhoods affects residents' perceptions ofcriminal injustice, whether this effect is more pronounced for minorityresidents and in minority neighborhoods, and whether perceived minority policepresence has a stronger effect on perceptions of criminal injustice for minorityresidents in more integrated and white neighborhoods than minority residents inminority neighborhoods. Analyses of data collected from Los Angeles, CA, showthat residents perceive a lower level of criminal injustice when they reportthat officers in their neighborhoods are not white-dominated, and this findingis not dependent on the respondent's race/ethnicity or the racial/ethniccomposition of the neighborhood. In addition, perceived minority police presenceseems to have a weak to no effect on residents' perceptions of criminalinjustice for Hispanic communities. We discuss these findings and theirimplications for theory, research, and policy.
We study the stochastic cubic nonlinear Schrödinger equation (SNLS) with an additive noise on the one-dimensional torus. In particular, we prove local well-posedness of the (renormalized) SNLS when the noise is almost space–time white noise. We also discuss a notion of criticality in this stochastic context, comparing the situation with the stochastic cubic heat equation (also known as the stochastic quantization equation).
Why do Chinese traders along the China–North Korea border turn to informal trade, and what does it provide for them? Using a unique set of interviews with Chinese formal and informal traders operating in North Korea, we argue that the strategies of informal trade are a calculated response to certain types of risk. In doing so, we introduce a typology of risks and the mechanisms by which informal trade allows traders to mitigate those risks. Because informal traders bypass trade regulations and border checkpoints, they are able to mitigate risk more cheaply than formal traders in some cases and can overcome barriers that can cause failure in formal trade. Informal traders can thus maintain trade in many circumstances, including across North Korean personnel instability and policy reversals, Chinese sanctions enforcement, and delays and smuggling crackdowns on both sides of the border.
Binder-free three-dimensional Co3O4 electrodes are fabricated by an economical and scalable one-step flame combustion method, namely Reactive Spray Deposition Technology. The electrodes are composed of porous nanostructured Co3O4 uniformly distributed throughout the conductive substrate. In the absence of any further optimization on the processing conditions, the as-synthesized electrodes demonstrate high capacitance of 567 F g−1 at 1.5 A g−1, excellent rate capability, and stable cycling performance with a capacity retention ratio of 96.7% after 1000 charge/discharge cycles from the three-electrode half-cell testing. This study presents the pathway to a significantly simplified manufacturing process of three-dimensional electrodes with the desirable porous nanostructure.