Publications by authors named "Patrick Monette"

Background: Previous research has underscored the benefits of geriatrician consultation in improving outcomes for older patients undergoing hip fracture repair, highlighting enhanced functional outcomes and reduced morbidity. However, the impact of geriatrician care in outcomes for patients undergoing elective total joint arthroplasty (TJA) has yet to be described. We aimed to determine whether preoperative or postoperative geriatrician involvement was associated with differences in the length of hospital stay and emergency department (ED) visits after TJA.

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Article Synopsis
  • Psychiatry is leveraging digital phenotyping and AI/ML tools to analyze mental health by tracking various real-world data from participants, such as location, online activity, and health metrics.
  • Current ethical guidelines for sharing individual research results (IRRs) are insufficient to manage the sensitive data generated in this research.
  • An interdisciplinary expert group has created a new framework addressing the ethical, legal, and social issues of returning IRRs in digital phenotyping studies, which can also be applied to other medical research fields.
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Polypharmacy is a common problem among older adults, as they are more likely to have multiple chronic conditions and may experience fragmentation of care among specialists. The Geriatrics 5Ms framework offers a person-centered approach to address polypharmacy and optimize medications, including deprescribing when appropriate. The elements of the Geriatrics 5Ms, which align with the approach of the Age-Friendly Health Systems initiative, include consideration of Medications, Mind, Mobility, Multicomplexity, and What Matters Most.

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Background: Psychiatry has long needed a better and more scalable way to capture the dynamics of behavior and its disturbances, quantitatively across multiple data channels, at high temporal resolution in real time. By combining 24/7 data-on location, movement, email and text communications, and social media-with brain scans, genetics, genomics, neuropsychological batteries, and clinical interviews, researchers will have an unprecedented amount of objective, individual-level data. Analyzing these data with ever-evolving artificial intelligence could one day include bringing interventions to patients where they are in the real world in a convenient, efficient, effective, and timely way.

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Objectives: Alzheimer's Disease (AD)-related behavioral symptoms (i.e. agitation and/or pacing) develop in nearly 90% of AD patients.

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The rapidly increasing population living with dementia presents a unique economic and public health challenge. However, primary care physicians, despite their position as first-line providers, often lack the time, support, and training to systematically screen for, diagnose, and treat dementia, as well as provide adequate psychosocial support to unpaid caregivers. Models of collaborative care, which have found success in reducing symptom severity and increasing quality of life for other chronic illnesses, have been studied for feasibility, efficacy, and cost effectiveness in treating individuals with dementia and supporting caregivers.

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Background: Obtaining collateral information from a patient is an essential component of providing effective psychiatric and psychotherapeutic care. Research indicates that patients' social and electronic media contains information relevant to their psychotherapy and clinical care. However, it remains unclear to what degree this content is being actively utilized by clinicians as a part of diagnosis or therapy.

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Purpose Of Review: Recent advances in technology have changed the landscape of treatment for adults with mental illness. This review highlights technological innovations that may improve care for older adults with mental illness and neurocognitive disorders through the measurement and assessment of physical motion. These technologies include wearable sensors (such as smart watches and Fitbits), passive motion sensors, and smart home models that incorporate both active and passive motion technologies.

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, one of ∼600 bacterial species in the human oral cavity, is among the most acidogenic constituents of the plaque biofilm. Considered to be the primary causative agent of dental caries, harbors a 25-kDa SloR metalloregulatory protein which controls metal ion transport across the bacterial cell membrane to maintain essential metal ion homeostasis. The expression of SloR derives in part from transcriptional readthrough of the operon, which encodes a Mn/Fe ABC transport system.

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The prevalence of mood disorders in the rapidly-growing older adult population merits attention due to the likelihood of increased medical comorbidities, risk of hospitalization or institutionalization, and strains placed on caregivers and healthcare providers. Magnetic resonance spectroscopy (MRS) quantifies biochemical compounds in vivo, and has been used specifically for analyses of neural metabolism and bioenergetics in older adults with mood disorders, usually via proton or phosphorous spectroscopy. While yet to be clinically implemented, data gathered from research subjects may help indicate potential biomarkers of disease state or trait or putative drug targets.

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Cell death and release of proinflammatory mediators contribute to mortality during sepsis. Specifically, caspase-11-dependent cell death contributes to pathology and decreases in survival time in sepsis models. Priming of the host cell, through TLR4 and interferon receptors, induces caspase-11 expression, and cytosolic LPS directly stimulates caspase-11 activation, promoting the release of proinflammatory cytokines through pyroptosis and caspase-1 activation.

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