bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anterior Midline Incision is a Safe and Effective Approach for High-energy Medial Shear Fractures of the Tibial Plateau
Authors: Rodriguez-Buitrago Andres , Cereijo Cesar , Yusi Kurt , Obremskey William T. 
Published: June 2020

Objective:
We present a technical trick for surgical treatment of with (Schatzker IV) medial tibial plateau fractures treated with a standardized operative protocol with early radiographic and clinical outcomes.

Methods:
Skeletally mature patients with a medial tibial plateau fracture (Schatzker IV) admitted to an academic level 1 trauma center between 2002 and 2017 were identified by institutional database review. Screening of operative reports selected patients treated with a single anteromedial approach following a standard surgical protocol by a single surgeon. Data relevant to initial injury characteristics, patient comorbidities, operative management, and follow-up were extracted by chart review. Preoperative and postoperative clinical documentation and radiographs were examined to measure specific injury and outcome variables. Radiographic and clinical outcomes were validated by one fellowship-trained orthopedic trauma surgeon and 2 orthopedic trauma fellows.

Results:
Review of 335 patients with tibial plateau fractures during the study period identified a series of 17 high-energy, medial partial articular fractures that met the inclusion criteria. Injury pattern included articular depression in all patients, meniscal injury in 59%, ligamentous injury in 65% and none had compartment syndrome. Immediate radiographic analysis showed restoration of the articular surface, condylar width, and mechanical alignment for all patients. No patient experienced wound healing complications, soft tissue infection or skin necrosis. Median time to radiographic fracture consolidation was 12.9 weeks and ambulation without achieved at 18.9 weeks.

Conclusions:
The use of a standard anteromedial approach to the knee via medial parapatellar arthrotomy with full-thickness medial skin flap for isolated high-energy medial column tibial plateau fractures offers improved visualization and facilitates reduction and fixation of the lateral and anterior articular impaction while enabling immediate repair or reconstruction of associated meniscal and ligamentous (anterior cruciate ligament, posterior cruciate ligament, medial collateral ligament) pathology. Short-term and mid-term follow-up demonstrates good clinical and radiographic patient outcomes. This approach is a safe and reliable option for treatment of this unique and challenging injury pattern.
Medicinal and Recreational Marijuana: Review of the Literature and Recommendations for the Plastic Surgeon
Authors: Edalatpour Armin , Attaluri Pradeep , Larson Jeffrey D. 
Published: June 2020

Summary:With the shift in public opinion and legalization of cannabis for therapeutic and recreational use, cannabis consumption has become more common. This trend will likely continue as decriminalization and legalization of marijuana and associated cannabinoids expand. Despite this increase in use, our familiarity with this drug and its associated effects remains incomplete. The aim of this review is to describe the physiologic effects of marijuana and its related compounds, review current literature related to therapeutic applications and consequences, discuss potential side effects of marijuana in surgical patients, and provide recommendations for the practicing plastic surgeon. Special attention is given to areas that directly impact plastic surgery patients, including postoperative pain, nausea and vomiting and wound healing. Although the literature demonstrates substantial support for marijuana in areas such as chronic pain and nausea and vomiting associated with chemotherapy, the data supporting its use for common perioperative problems are lacking. Its use for treating perioperative problems, such as pain and nausea, is poorly supported and requires further research.
Radiation Exposure Biomarkers in the Practice of Medical Radiology: Cooperative Research and the Role of the International Atomic Energy Agency (IAEA) Biodosimetry/Radiobiology Laboratory
Authors: Vinnikov Volodymyr A. , Belyakov Oleg 
Published: June 2020

Abstract
The strategy toward personalized medicine in radiation oncology, nuclear medicine, and diagnostic and interventional radiology demands a specific set of assays for individualized estimation of radiation load for safety concerns and prognosis of normal tissue reactions caused by ionizing radiation. Apparently, it seems reasonable to use validated radiation dosimetric biomarkers for these purposes. However, a number of gaps in knowledge and methodological limitations still have to be resolved until dosimetric biomarkers will start to play a valuable role in clinical practice beyond radiation protection and radiation medicine. An extensive international multicenter research is necessary to improve the methodology of clinical applications of biodosimetry. That became a rationale for launching the IAEA Coordinated Research Project E35010 MEDBIODOSE: “Applications of Biological Dosimetry Methods in Radiation Oncology, Nuclear Medicine, and Diagnostic and Interventional Radiology.” At the 2nd Coordination Meeting on MEDBIODOSE (18–22 February 2019, Recife, Brazil), participants reported progress in the usage of biological dosimetry for genotoxicity assessment and/or individualization of radiotherapy treatment plans. Another avenue of research was the prognosis of normal tissue toxicity and cancer risk prediction using biomarkers’ yield measured in vivo or after ex vivo irradiation of patients’ cells. Other important areas are mechanisms of cytogenetic radiation response, validation of new radiation biomarkers, development of innovative techniques, automated and high-throughput assays for biodosimetry, and the overall improvement of biodosimetry service. An important aspect of clinical application of biodosimetry is standardization of techniques and unification of approaches to data interpretation. The new IAEA Biodosimetry/Radiobiology Laboratory, which is being established, will provide support for this activity. The declared lab’s mission includes, among other tasks, a harmonization of the biodosimetry applications with relevant international standards, guidelines on good laboratory practice, and the IAEA EPR-Biodosimetry manual.
Description and Effectiveness of Communication Partner Training in TBI: A Systematic Review
Authors: Behn Nicholas , Francis Jill , Togher Leanne , Hatch Ellie , Moss Becky , Hilari Katerina 
Published: June 2020

Objectives:
To evaluate the current evidence on communication partner training and its effectiveness on outcomes for people with traumatic brain injury (TBI) and/or their communication partners.

Methods:

Information sources: Systematic searches of 9 databases (AMED, CINAHL, EMBASE, Medline/EBSCOHOST, PsycINFO, PsycBITE, PsycARTICLES, PubMed, and Scopus) from database inception to February 2019. Eligibility criteria: Empirical studies on interventions for adult communication partners where the primary focus of the program (>50%) was on improving communication skills of people with TBI and/or communication partners. Data: Participants, characteristics of the training, outcome measures, and findings. Risk of bias: Standard checklists were used for methodological quality (PEDro, ROBiN-T) and intervention description (TIDieR). Synthesis: Narrative synthesis and effect sizes (Cohen's d) for group-level studies.

Outcomes:
Ten articles (describing 8 studies) met eligibility criteria: 3 randomized controlled trials, 2 nonrandomized controlled trials, and 3 single-case experimental designs. Studies included a total of 258 people with TBI and 328 communication partners; however, all but one study had fewer than 65 participants. Methodological quality varied and intervention description was poor. Three studies in the final synthesis (n = 41 communication partners, n = 36 people with TBI) reported positive intervention effects. Effect sizes in group studies were d = 0.80 to 1.13 for TBI and d = 1.16 to 2.09 for communication partners.

Conclusions:
The articles provided encouraging, though limited, evidence for training communication partners. Greater methodological rigor, more clearly described interventions, and consistent use of outcome measures and follow-up after treatment are needed. Further research on this topic is warranted.
Total Filling of the Vitreous Cavity With a Cohesive Ophthalmic Viscosurgical Device to Support the Removal of the Intraocular Foreign Body
Authors: Rogaczewska Małgorzata , Stopa Marcin 
Published: June 2020

Purpose:
To evaluate the effectiveness of loading the vitreous cavity with a cohesive ophthalmic viscosurgical device in aiding the removal of the posterior segment intraocular foreign body (IOFB).

Methods:
Seven consecutive patients underwent a small-gauge vitrectomy due to eye trauma with the IOFB between January 2019 and December 2019. The IOFB removal was initiated after total filling the vitreous cavity with the ophthalmic viscosurgical device (Eyefill C or Bio-Hyalur Plus) to facilitate maneuvering and slow the descent in cases of the unintendedly released IOFBs. The eye examination was performed at presentation and at 1 day, 7 days, 1 month, and 3 months after surgery. The best-corrected visual acuity and intraocular pressure were evaluated.

Results:
In all eyes, IOFBs were elevated into the center of the vitreous cavity and could be securely gripped while suspended in the ophthalmic viscosurgical device to allow the surgeon for successful and harmless removal. In the 3-month follow-up, the best-corrected visual acuity was 20/20 in 5 patients and 20/25 in 2 patients. In the early postoperative period, the elevation of intraocular pressure did not occur. No patient developed endophthalmitis.

Conclusion:
The authors demonstrated that this uncomplicated technique is an effective surgical option for more reliable removal of posterior segment IOFBs.
Interictal epileptiform discharges in focal epilepsy are preceded by a gradual increase in low-frequency oscillations
Authors: Westin Karin , Cooray Gerald , Lundqvist Daniel 
Published: June 2020

AbstractEpilepsy is characterized by recurrent seizures and may also have negative influence on cognitive function. In addition to ictal activity, the epileptic brain also gives rise tointerictal epileptiform discharges(IEDs). These IEDs constitute the diagnostic hallmark of epilepsy, and have been linked to impaired memory formation and negative effects on neurodevelopment. The neurophysiological dynamics underlying IED generation seem to resemble those underlying seizure development. Understanding the neurophysiological characteristics surrounding and preceding IED development would hence provide valuable insights into the pathophysiology of the epileptic brain. In order to improve this understanding, we aimed to characterize the dynamical activity changes that occurs immediately prior to an IED onset. We used magnetoencephalography (MEG) recordings from nine focal epilepsy patients to characterize the oscillatory activity preceding IED onsets. Our results showed a systematic and gradual increase in oscillatory delta and theta band activity (1-4 Hz and 4-8 Hz, respectively) during this pre-IED interval, reaching a maximum power at IED onset. These results indicate that the pre-IED brain state is characterized by a gradual synchronization that culminates in the neuronal hypersynchronization underlying IEDs. We discuss how IED generation might resemble seizure development, where physiological brain activity similarly undergoes a gradual synchronization that terminates in seizure onset.
Pediatric COVID-19 in Southern California: clinical features and viral genetic diversity
Authors: Pandey U , Yee R , Precit M , Bootwalla M , Ryutov A , Shen L , Maglinte DT , Ostrow D , Biegel JA , Judkins AR , Bender JM , Gai X , Bard J Dien 
Published: June 2020

AbstractAs the pandemic enters its fifth month, information regarding COVID-19 in children is rapidly evolving. Here, we explore clinical features and SARS-CoV-2 genetic variation in children presenting with COVID-19. We observed diverse clinical presentations and identified association between disease severity, viral load and age. SARS-CoV-2 genomes from the patients showed limited number of variations and an evolutionary rate comparable to other RNA viruses. We did not identify correlation between disease severity and viral genetic variations. Epidemiological investigation revealed multiple introductions of virus into Southern California.
Development and external validation of a diagnostic model for in-hospital bleeding in patients with acute ST elevation myocardial infarction
Authors: Li Yong 
Published: June 2020

AbstractBackgroundBleeding complications in patients with acute ST segment elevation myocardial infarction (STEMI) are associated with an increased risk of subsequent adverse consequences. We want to develop and externally validate a diagnostic model of in-hospital bleeding in the population of unselected real-world patients with acute STEMI.MethodsDesign: Multivariable logistic regression of a cohort for hospitalized patients with acute STEMI. Setting: Emergency department ward of a university hospital. Participants: Diagnostic model development: Totally 4262 hospitalized patients with acute STEMI from January 2002 to December 2013 in Beijing Anzhen Hospital, Capital Medical University. External validation: Totally 6015 hospitalized patients with acute STEMI from January 2014 to August 2019 in Beijing Anzhen Hospital, Capital Medical University. Outcomes: All-cause in-hospital bleeding not related to coronary artery bypass graft surgery or catheterization.ResultsIn-hospital bleeding occurred in 2.6% (112/4262) of patients in the development data set (117/6015) of patients in the validation data set. The strongest predictors of in-hospital bleeding were advanced age and high Killip classification. We developed a diagnostic model of in-hospital bleeding. The area under the receiver operating characteristic ROC curve (AUC) was 0.777±0.021, 95% confidence interval(CI) = 0.73576 ~ 0.81823. We constructed a nomograms using the development database based on age, and Killip classification. The AUC was 0.7234±0.0252,95% CI = 0.67392 ~ 0.77289 in the validation data set. Discrimination, calibration, and decision curve analysis were satisfactory.ConclusionsWe developed and externally validated a moderate diagnostic model of in-hospital bleeding in patients with acute STEMI.We registered this study with WHO International Clinical Trials Registry Platform (ICTRP) (registration number: ChiCTR1900027578; registered date: 19 Novmober 2019). http://www.chictr.org.cn/edit.aspx?pid=45926&htm=4.
INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis
Authors: Zabeti Hooman , Dexter Nick , Safari Amir Hosein , Sedaghat Nafiseh , Libbrecht Maxwell , Chindelevitch Leonid 
Published: June 2020

AbstractMotivationPrediction of drug resistance and identification of its mechanisms in bacteria such asMycobacterium tuberculosis, the etiological agent of tuberculosis, is a challenging problem. Solving this problem requires a transparent, accurate, and flexible predictive model. The methods currently used for this purpose rarely satisfy all of these criteria. On the one hand, approaches based on testing strains against a catalogue of previously identified mutations often yield poor predictive performance; on the other hand, machine learning techniques typically have higher predictive accuracy, but often lack interpretability and may learn patterns that produce accurate predictions for the wrong reasons. Current interpretable methods may either exhibit a lower accuracy or lack the flexibility needed to generalize them to previously unseen data.ContributionIn this paper we propose a novel technique, inspired by the group testing and Boolean compressed sensing, which yields highly accurate predictions, interpretable results, and is flexible enough to be optimized for various evaluation metrics at the same time.ResultsWe test the predictive accuracy of our approach on five first-line and seven second-line antibiotics used for treating tuberculosis. We find that it has a higher or comparable accuracy to that of commonly used machine learning models, and is able to identify variants in genes with previously reported association to drug resistance. Our method is intrinsically interpretable, and can be customized for different evaluation metrics. Our implementation is available atgithub.com/hoomanzabeti/INGOT_DRand can be installed via The Python Package Index (Pypi) underingotdr. This package is also compatible with most of the tools in the Scikit-learn machine learning library.
Control of microglial dynamics by Arp2/3 and the autism and schizophrenia-associated protein Cyfip1
Authors: Drew James , Arancibia-Carcamo I. Lorena , Jolivet Renaud , Lopez-Domenech Guillermo , Attwell David , Kittler Josef T. 
Published: June 2020

AbstractMicroglia use a highly complex and dynamic network of processes to sense and respond to their surroundings. Microglial dynamics differ throughout development and in neurological and neuropsychiatric disease, though mechanistic insight into these changes is lacking. Here we identify novel roles for regulators of the actin cytoskeleton in controlling microglial behaviour. We show that the actin branching complex Arp2/3 is critical for maintaining microglial morphology and required for surveillance but not chemotactic motility. Neuropsychiatric disease-associated Cyfip1, a core component of the WAVE regulatory complex that links Rac1 signalling to Arp2/3 activation, is highly expressed in microglia but has unknown function. We report that conditional deletion of Cyfip1 in mouse microglia reduces morphological complexity and surveillance of brain parenchyma, and increases activation state as defined by CD68 expression. Thus, altered actin-dependent microglial dynamics mediated by Cyfip1 and Arp2/3 may contribute to neuropsychiatric disease.
The rise and fall of the ancient northern pike master sex determining gene
Authors: Pan Qiaowei , Feron Romain , Jouanno Elodie , Darras Hugo , Herpin Amaury , Koop Ben , Rondeau Eric , Goetz Frederick W. , Larson Wesley A. , Bernatchez Louis , Tringali Mike , Curran Stephen S. , Saillant Eric , Denys Gael P.J. , von Hippel Frank A. , Chen Songlin , López J. Andrés , Verreycken Hugo , Ocalewicz Konrad , Guyomard Rene , Eche Camille , Lluch Jerome , Roques Celine , Hu Hongxia , Tabor Roger , DeHaan Patrick , Nichols Krista M. , Journot Laurent , Parrinello Hugues , Klopp Christophe , Interesova Elena A. , Trifonov Vladimir , Schartl Manfred , Postlethwait John , Guiguen Yann 
Published: June 2020

AbstractSexual reproduction is a ubiquitous basic feature of life and genetic sex determination is thus widespread, at least among eukaryotes. Understanding the remarkable diversity of sex determination mechanisms, however, is limited by the paucity of empirical studies. Here, we traced back the evolution of sex determination in an entire clade of vertebrates and uncovered that the northern pike (Esox lucius) master sex-determining gene initiated from a 65 to 90 million-year-old gene duplication and remained sex-linked on undifferentiated sex chromosomes for at least 56 million years. Contrasting with its ancient origin, we identified several independent species- or population-specific transitions of sex determination mechanisms in this lineage, including an unexpected complete and recent Y-chromosome loss in some North American northern pike populations. These findings highlight the diversity of the evolutionary fates of master sex-determining genes and raise the importance of careful considerations of population demographic history in sex determination studies. Our study also puts forward the hypothesis that occasional sex reversals and genetic bottlenecks provide a non-adaptive explanation for sex determination transitions.
Neurexin1α differentially regulates synaptic efficacy within striatal circuits
Authors: Davatolhagh M. Felicia , Fuccillo Marc V. 
Published: June 2020

SummaryMutations in genes essential for shared aspects of synaptic function throughout the CNS, such as the presynaptic adhesion molecule Neurexin1α (Nrxn1α), are strongly implicated in neuropsychiatric pathophysiology. As the input nucleus of the basal ganglia, the striatum integrates diverse excitatory projections governing cognitive and motor control, and its functional impairment underlies neuropsychiatric disorders. While prior work has emphasized Neurexins’ contributions to synaptic transmission in hippocampus and brainstem, their function in striatal circuits remains unstudied. As Nrxn1α is highly expressed at striatal inputs, we employed optogenetic-mediated afferent recruitment of dorsal prefrontal cortex-dorsomedial striatal (DMS) connections, uncovering a decrease in net synaptic strength specifically onto indirect pathway spiny neurons in both Nrxn1α+/-and Nrxn1α-/-mice, driven by reductions in transmitter release probability. In contrast, thalamic excitatory inputs to DMS demonstrated relatively normal excitatory synaptic strength. These findings suggest that dysregulation of Nrxn1α modulates striatal function in an input and target-specific manner.
Identifying digenic disease genes using machine learning in the undiagnosed diseases network
Authors: Mukherjee Souhrid , Cogan Joy D , Newman John H , Phillips John A , Hamid Rizwan ,   Undiagnosed Diseases Network, Meiler Jens , Capra John A. 
Published: June 2020

ABSTRACTRare diseases affect hundreds of millions of people worldwide, and diagnosing their genetic causes is challenging. The Undiagnosed Diseases Network (UDN) was formed in 2014 to identify and treat novel rare genetic diseases, and despite many successes, more than half of UDN patients remain undiagnosed. The central hypothesis of this work is that many unsolved rare genetic disorders are caused by multiple variants in more than one gene. However, given the large number of variants in each individual genome, experimentally evaluating even just pairs of variants for potential to cause disease is currently infeasible. To address this challenge, we developed DiGePred, a random forest classifier for identifying candidate digenic disease gene pairs using features derived from biological networks, genomics, evolutionary history, and functional annotations. We trained the DiGePred classifier using DIDA, the largest available database of known digenic disease causing gene pairs, and several sets of non-digenic gene pairs, including variant pairs derived from unaffected relatives of UDN patients. DiGePred achieved high precision and recall in cross-validation and on a held out test set (PR area under the curve >77%), and we further demonstrate its utility using novel digenic pairs from the recent literature. In contrast to other approaches, DiGePred also appropriately controls the number of false positives when applied in realistic clinical settings like the UDN. Finally, to facilitate the rapid screening of variant gene pairs for digenic disease potential, we freely provide the predictions of DiGePred on all human gene pairs. Our work facilitates the discovery of genetic causes for rare non-monogenic diseases by providing a means to rapidly evaluate variant gene pairs for the potential to cause digenic disease.