Publications by authors named "Alexander Alex"

Signs and symptoms of Attention-Deficit/Hyperactivity Disorder (ADHD) are present at preschool ages and often not identified for early intervention. We aimed to use machine learning to detect ADHD early among kindergarten-aged children using population-level administrative health data and a childhood developmental vulnerability surveillance tool: Early Development Instrument (EDI). The study cohort consists of 23,494 children born in Alberta, Canada, who attended kindergarten in 2016 without a diagnosis of ADHD.

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HIV status nondisclosure to sexual partners remains a major challenge in Tanzania's health system. This hospital-based, descriptive, cross-sectional study design recruited 380 people living with HIV (PLWH) to assess voluntary HIV status disclosure to sexual partners, the associated factors, and outcomes among PLWH in Tanzania. Approximately 78% ( n = 297) of the study participants reported disclosing their HIV status to their sexual partners.

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There is a compelling need to find drugs active against (). 4'-Phosphopantetheinyl transferase (PptT) is an essential enzyme in that has attracted interest as a potential drug target. We optimized a PptT assay, used it to screen 422,740 compounds, and identified raltitrexed, an antineoplastic antimetabolite, as the most potent PptT inhibitor yet reported.

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Frontal sinus surgery still represents a challenge due to its complex and highly variable anatomy. In this manuscript, we present a detailed anatomical description of an eyebrow approach that allows full exposure of the frontal sinus with a large osteoplastic bone flap and preservation of the supraorbital nerve. Laryngoscope, 134:1633-1637, 2024.

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Portland cement porous concrete (PCPC) has received immense interest recently due to its environmental aids. Its porous structure helps to reduce the water runoff amount while improving the recharge of groundwater. Earlier studies have concentrated on illustrating and knowing the functional as well as structural properties of PCPC.

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Background: The lingual process of the sphenoid bone (LP) and the petrolingual ligament (PLL) surround laterally the internal carotid artery within the middle cranial fossa (MCF).

Objective: To study the LP and the PLL and anatomical variations considering their relationships with different structures and landmarks within the MCF, especially oriented toward the endoscopic endonasal approaches.

Methods: Seventy-two sides of dry skulls and 20 sides of embalmed specimens were studied.

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Background: Several microsurgical transcranial approaches (MTAs) and endoscopic transnasal approaches (EEAs) to the anterior cranial fossa (ACF) have been described.

Objective: To provide a preclinical, quantitative, anatomic, comparative analysis of surgical approaches to the ACF.

Methods: Five alcohol-fixed specimens underwent high-resolution computed tomography.

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Background: Lifestyle modifications and advances in surgical and endovascular techniques for treating unruptured intracranial aneurysm (UIA) have vastly evolved over the last few decades and may have reduced the incidence of aneurysmal subarachnoid hemorrhage (aSAH). However, the actual impact of these changes on the rates and outcomes of aSAH remain unexplored. Thus, we studied national aSAH admissions and outcome trends and changes of major risk factors over time.

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Purpose: While previous studies have suggested that preoperative embolization of hypervascular spinal metastases may alleviate intraoperative blood loss and improve resectability, trends and driving factors for choosing this approach have not been extensively explored. Therefore, we evaluated the trends and assessed the factors associated with preoperative embolization utilization for spinal metastatic tumors using a national inpatient database.

Materials And Methods: The National Inpatient Sample database of the Healthcare Cost and Utilization Project was queried for patients undergoing surgical resection for spinal metastasis between January 1, 2005 and December 31, 2017.

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Background: Elective lumbar fusion is a commonly employed procedure for degenerative lumbar spine disease. With healthcare costs rising reimbursement for procedures may be restricted by payers. Additionally, patients may undergo elective fusion once deductibles are covered, typically in the fourth quarter in a given year.

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Background: Minimally invasive surgery (MIS) of the spine has been associated with lower complication rates and improved patient-reported outcomes in recent studies. In this study, we aimed to investigate operative and postoperative outcomes associated with both surgical techniques in elderly patients.

Methods: Patients who are 65 years old or older underwent either minimally invasive or open surgery for lumbar degenerative conditions.

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Background: Guidelines recommend shared decision making (SDM) for determining whether to use statins to prevent cardiovascular events in at-risk patients. We sought to develop a toolkit to facilitate the cross-organizational spread and scale of a SDM intervention called the Statin Choice Conversation Aid (SCCA) by (i) assessing the work stakeholders must do to implement the tool; and (ii) orienting the resulting toolkit's components to communicate and mitigate this work.

Methods: We conducted multi-level and mixed methods (survey, interview, observation, focus group) characterizations of the contexts of 3 health systems (n = 86, 84, and 26 primary care clinicians) as they pertained to the impending implementation of the SCCA.

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Introduction: What if you could only ask one question of the patient during a clinic visit? Further, suppose the patient's biggest concern can pragmatically be incorporated into routine clinical care and clinical pathways that can address the patient's single biggest concern can be identified. If the principal concern can be dealt with efficiently at each visit through key stakeholder case management, positive outcomes should result. Therefore, motivated by the need for patient-centered health care visits, the Beacon electronic patient-reported outcomes (PRO) quality of life (QOL) tool was developed.

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Rationale: Intramolecular proton migration has been reported to be required for fragmentation by collision-induced dissociation (CID). If the collision energy is required to provide energy for proton movement to a ‘dissociative’ site, it may be possible to predict the optimal collision energy for fragmentation using quantum computational chemistry software. A greater understanding of the mechanism(s) of proton migration is necessary.

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Blocking the 2-C-methyl-d-erythrithol-4-phosphate (MEP) pathway for isoprenoid biosynthesis offers interesting prospects for inhibiting Plasmodium or Mycobacterium spp. growth. Fosmidomycin (1) and its homologue FR900098 (2) potently inhibit 1-deoxy-d-xylulose-5-phosphate reductoisomerase (Dxr), a key enzyme in this pathway.

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Rationale: Fifteen molecules were modelled using quantum chemistry, prior to interpreting their collision-induced dissociation (CID) product ion spectra, in a 'blind trial' to establish if calculated protonation-induced bond elongation could be used to predict which bonds cleaved during CID. Bond elongation has the potential to be used as a descriptor predicting bond cleavage.

Methods: The 15 molecules were modelled with respect to protonation-induced bond length changes using Density Functional Theory (DFT).

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Introduction: The Southeastern (SE) Minnesota Beacon organized all the health care providers, county public health organizations, and school districts in the deployment and integration of health information exchange (HIE) and targeted health communication around childhood asthma and diabetes. The community cooperated to establish a clinical data repository for all residents in the 11-county region. Through this community of practice approach that involved traditional and nontraditional providers, the SE Minnesota Beacon was able to realize unique applications of this technology.

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Fragmentation of molecules under collision-induced dissociation (CID) conditions is not well-understood. This may make interpretation of MSMS spectra difficult and limit the effectiveness of software tools intended to aid mass spectral interpretation. Density Functional Theory (DFT) has been successfully applied to explain the thermodynamics of fragmentation in the gas phase by the modelling the effect that protonation has on the bond lengths (and hence bond strengths).

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Background: Protein structures provide a valuable resource for rational drug design. For a protein with no known ligand, computational tools can predict surface pockets that are of suitable size and shape to accommodate a complementary small-molecule drug. However, pocket prediction against single static structures may miss features of pockets that arise from proteins' dynamic behaviour.

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Tandem mass spectrometry (MS/MS) is widely used for the identification of metabolites at all stages of the pharmaceutical discovery and development process. The assignment of ions in the product ion spectra can be time-consuming and hence delay feedback of results that may influence the direction of a project. A deeper understanding of the processes involved in generation of the product ions formed via collision-induced dissociation may allow development of chemically intelligent software to aid spectral interpretation.

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Prediction of tandem mass spectrometric (MS/MS) fragmentation for non-peptidic molecules based on structure is of immense interest to the mass spectrometrist. If a reliable approach to MS/MS prediction could be achieved its impact within the pharmaceutical industry could be immense. Many publications have stressed that the fragmentation of a molecular ion or protonated molecule is a complex process that depends on many parameters, making prediction difficult.

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Fragment-based drug discovery has proved to be a very useful approach particularly in the hit-to-lead process, providing a complementary tool to traditional high-throughput screening. Although often synonymous with fragment screening, fragment-based drug discovery is a far wider area covering high-throughput screening, fragment screening and virtual screening efforts. The unifying feature of fragment-based drug discovery is the low molecular weight of the hit rather than the approach it originates from.

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