LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 541

Search options

  1. Article ; Online: Coexisting depression and frailty as an accelerated aging phenotype of late-life depression.

    Taylor, Warren D

    International psychogeriatrics

    2023  Volume 35, Issue 12, Page(s) 689–691

    MeSH term(s) Humans ; Aged ; Frailty ; Depression/complications ; Aging ; Frail Elderly ; Phenotype
    Language English
    Publishing date 2023-02-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 1038825-4
    ISSN 1741-203X ; 1041-6102
    ISSN (online) 1741-203X
    ISSN 1041-6102
    DOI 10.1017/S1041610223000170
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Cost Analysis of High-Signal Approach in Otolaryngology-Head and Neck Surgery Residency.

    Erickson, Taylor S / Warren, Brooke R / Pletcher, Steven D

    The Laryngoscope

    2024  

    Abstract: Objective: The objective of this study is to analyze a high-signal approach for otolaryngology-head and neck surgery (OHNS) residency applicants and calculate cost savings for programs and applicants.: Methods: Data from both the 2022-2024 Electronic ...

    Abstract Objective: The objective of this study is to analyze a high-signal approach for otolaryngology-head and neck surgery (OHNS) residency applicants and calculate cost savings for programs and applicants.
    Methods: Data from both the 2022-2024 Electronic Residency Application Service (ERAS) and a data model were used to demonstrate cost savings with a high-signal approach. Modeled data assumed that the number of applications per applicant would be equal to the number of signals allowed. Predicted and real-world cost savings across the five other specialties participating in a high-signal approach were calculated.
    Results: ERAS data cost savings for the entire OHNS applicant pool amounted to $365,950. In the modeled data, cost savings amounted to $825,921. When extrapolated to include all five high-signal specialties, total cost savings amounted to $2,570,464 (ERAS data) and $6,359,478 (modeled data). Otolaryngology programs were predicted to experience significant time savings, resulting in cost savings of $437,883 and $1,113,342 for ERAS data and modeled data, respectively.
    Conclusions: The study highlights the advantages of a high-signal approach, including financial advantages or increased time for programs to engage in holistic review and diversify the pool of interview candidates. Cost savings in this study were shown to be significant when extrapolated across all specialties using a high-signal approach. Further research is needed to optimize the signaling system and confirm the favorable interview distribution and equity data from the low-signal OHNS experience with a high-signal approach.
    Level of evidence: N/A Laryngoscope, 2024.
    Language English
    Publishing date 2024-02-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80180-x
    ISSN 1531-4995 ; 0023-852X
    ISSN (online) 1531-4995
    ISSN 0023-852X
    DOI 10.1002/lary.31330
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Sequential autoencoders for feature engineering and pretraining in major depressive disorder risk prediction.

    Jones, Barrett W / Taylor, Warren D / Walsh, Colin G

    JAMIA open

    2023  Volume 6, Issue 4, Page(s) ooad086

    Abstract: Objectives: We evaluated autoencoders as a feature engineering and pretraining technique to improve major depressive disorder (MDD) prognostic risk prediction. Autoencoders can represent temporal feature relationships not identified by aggregate ... ...

    Abstract Objectives: We evaluated autoencoders as a feature engineering and pretraining technique to improve major depressive disorder (MDD) prognostic risk prediction. Autoencoders can represent temporal feature relationships not identified by aggregate features. The predictive performance of autoencoders of multiple sequential structures was evaluated as feature engineering and pretraining strategies on an array of prediction tasks and compared to a restricted Boltzmann machine (RBM) and random forests as a benchmark.
    Materials and methods: We study MDD patients from Vanderbilt University Medical Center. Autoencoder models with Attention and long-short-term memory (LSTM) layers were trained to create latent representations of the input data. Predictive performance was evaluated temporally by fitting random forest models to predict future outcomes with engineered features as input and using autoencoder weights to initialize neural network layers. We evaluated area under the precision-recall curve (AUPRC) trends and variation over the study population's treatment course.
    Results: The pretrained LSTM model improved predictive performance over pretrained Attention models and benchmarks in 3 of 4 outcomes including self-harm/suicide attempt (AUPRCs, LSTM pretrained = 0.012, Attention pretrained = 0.010, RBM = 0.009, random forest = 0.005). The use of autoencoders for feature engineering had varied results, with benchmarks outperforming LSTM and Attention encodings on the self-harm/suicide attempt outcome (AUPRCs, LSTM encodings = 0.003, Attention encodings = 0.004, RBM = 0.009, random forest = 0.005).
    Discussion: Improvement in prediction resulting from pretraining has the potential for increased clinical impact of MDD risk models. We did not find evidence that the use of temporal feature encodings was additive to predictive performance in the study population. This suggests that predictive information retained by model weights may be lost during encoding. LSTM pretrained model predictive performance is shown to be clinically useful and improves over state-of-the-art predictors in the MDD phenotype. LSTM model performance warrants consideration of use in future related studies.
    Conclusion: LSTM models with pretrained weights from autoencoders were able to outperform the benchmark and a pretrained Attention model. Future researchers developing risk models in MDD may benefit from the use of LSTM autoencoder pretrained weights.
    Language English
    Publishing date 2023-10-09
    Publishing country United States
    Document type Journal Article
    ISSN 2574-2531
    ISSN (online) 2574-2531
    DOI 10.1093/jamiaopen/ooad086
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Augmenting cognitive training with bifrontal tDCS decreases subclinical depressive symptoms in older adults: Preliminary findings.

    Szymkowicz, Sarah M / Taylor, Warren D / Woods, Adam J

    Brain stimulation

    2022  Volume 15, Issue 5, Page(s) 1037–1039

    MeSH term(s) Aged ; Cognition ; Cognition Disorders ; Depression/therapy ; Humans ; Memory, Short-Term ; Transcranial Direct Current Stimulation
    Language English
    Publishing date 2022-08-03
    Publishing country United States
    Document type Letter ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 2394410-9
    ISSN 1876-4754 ; 1935-861X
    ISSN (online) 1876-4754
    ISSN 1935-861X
    DOI 10.1016/j.brs.2022.07.055
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Lack of a Role for Alzheimer's Disease Pathology in Late-Life Depression, or Just No Relationship With Amyloid?

    Taylor, Warren D

    The American journal of psychiatry

    2017  Volume 174, Issue 3, Page(s) 197–198

    MeSH term(s) Alzheimer Disease ; Amyloid beta-Peptides ; Depression ; Depressive Disorder ; Humans
    Chemical Substances Amyloid beta-Peptides
    Language English
    Publishing date 2017-03-01
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 280045-7
    ISSN 1535-7228 ; 0002-953X
    ISSN (online) 1535-7228
    ISSN 0002-953X
    DOI 10.1176/appi.ajp.2016.16111317
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Biological factors influencing depression in later life: role of aging processes and treatment implications.

    Szymkowicz, Sarah M / Gerlach, Andrew R / Homiack, Damek / Taylor, Warren D

    Translational psychiatry

    2023  Volume 13, Issue 1, Page(s) 160

    Abstract: Late-life depression occurring in older adults is common, recurrent, and malignant. It is characterized by affective symptoms, but also cognitive decline, medical comorbidity, and physical disability. This behavioral and cognitive presentation results ... ...

    Abstract Late-life depression occurring in older adults is common, recurrent, and malignant. It is characterized by affective symptoms, but also cognitive decline, medical comorbidity, and physical disability. This behavioral and cognitive presentation results from altered function of discrete functional brain networks and circuits. A wide range of factors across the lifespan contributes to fragility and vulnerability of those networks to dysfunction. In many cases, these factors occur earlier in life and contribute to adolescent or earlier adulthood depressive episodes, where the onset was related to adverse childhood events, maladaptive personality traits, reproductive events, or other factors. Other individuals exhibit a later-life onset characterized by medical comorbidity, pro-inflammatory processes, cerebrovascular disease, or developing neurodegenerative processes. These later-life processes may not only lead to vulnerability to the affective symptoms, but also contribute to the comorbid cognitive and physical symptoms. Importantly, repeated depressive episodes themselves may accelerate the aging process by shifting allostatic processes to dysfunctional states and increasing allostatic load through the hypothalamic-pituitary-adrenal axis and inflammatory processes. Over time, this may accelerate the path of biological aging, leading to greater brain atrophy, cognitive decline, and the development of physical decline and frailty. It is unclear whether successful treatment of depression and avoidance of recurrent episodes would shift biological aging processes back towards a more normative trajectory. However, current antidepressant treatments exhibit good efficacy for older adults, including pharmacotherapy, neuromodulation, and psychotherapy, with recent work in these areas providing new guidance on optimal treatment approaches. Moreover, there is a host of nonpharmacological treatment approaches being examined that take advantage of resiliency factors and decrease vulnerability to depression. Thus, while late-life depression is a recurrent yet highly heterogeneous disorder, better phenotypic characterization provides opportunities to better utilize a range of nonspecific and targeted interventions that can promote recovery, resilience, and maintenance of remission.
    MeSH term(s) Adolescent ; Humans ; Aged ; Adult ; Child ; Biological Factors ; Depression/therapy ; Hypothalamo-Hypophyseal System ; Pituitary-Adrenal System ; Aging
    Chemical Substances Biological Factors
    Language English
    Publishing date 2023-05-10
    Publishing country United States
    Document type Journal Article ; Review ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2609311-X
    ISSN 2158-3188 ; 2158-3188
    ISSN (online) 2158-3188
    ISSN 2158-3188
    DOI 10.1038/s41398-023-02464-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Poststroke Depression and Apathy: Why Should We Care?

    Manning, Kevin J / Taylor, Warren D

    The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry

    2020  Volume 28, Issue 11, Page(s) 1210–1212

    MeSH term(s) Apathy ; Depression/etiology ; Depression/psychology ; Depression/therapy ; Humans ; Motivation ; Psychiatric Status Rating Scales ; Psychotherapy ; Stroke/complications ; Stroke/psychology
    Language English
    Publishing date 2020-03-19
    Publishing country England
    Document type Editorial ; Research Support, N.I.H., Extramural
    ZDB-ID 1278145-9
    ISSN 1545-7214 ; 1064-7481
    ISSN (online) 1545-7214
    ISSN 1064-7481
    DOI 10.1016/j.jagp.2020.03.005
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Mental Health Treatment for Front-Line Clinicians During and After the Coronavirus Disease 2019 (COVID-19) Pandemic: A Plea to the Medical Community.

    Taylor, Warren D / Blackford, Jennifer Urbano

    Annals of internal medicine

    2020  Volume 173, Issue 7, Page(s) 574–575

    MeSH term(s) Anxiety/prevention & control ; Anxiety/psychology ; Betacoronavirus ; Burnout, Professional/prevention & control ; Burnout, Professional/psychology ; COVID-19 ; Coronavirus Infections/epidemiology ; Coronavirus Infections/psychology ; Fear/psychology ; Health Personnel/psychology ; Humans ; Mental Disorders/psychology ; Mental Disorders/therapy ; Pandemics ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/psychology ; SARS-CoV-2 ; Stress, Psychological/prevention & control ; Stress, Psychological/psychology
    Keywords covid19
    Language English
    Publishing date 2020-05-26
    Publishing country United States
    Document type Editorial
    ZDB-ID 336-0
    ISSN 1539-3704 ; 0003-4819
    ISSN (online) 1539-3704
    ISSN 0003-4819
    DOI 10.7326/M20-2440
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Computerized Cognitive Remediation for Geriatric Depression: Dawn of a New Treatment Modality?

    Taylor, Warren D

    The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry

    2016  Volume 24, Issue 10, Page(s) 821–822

    MeSH term(s) Aged ; Cognitive Remediation ; Depression ; Depressive Disorder, Major ; Humans ; Neuronal Plasticity
    Language English
    Publishing date 2016-07-12
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 1278145-9
    ISSN 1545-7214 ; 1064-7481
    ISSN (online) 1545-7214
    ISSN 1064-7481
    DOI 10.1016/j.jagp.2016.07.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Moderators of Remission in Patients With Late-Life Depression: Where Do We Go Next?

    Taylor, Warren D

    JAMA psychiatry

    2016  Volume 73, Issue 4, Page(s) 319–320

    MeSH term(s) Antipsychotic Agents/therapeutic use ; Anxiety ; Aripiprazole/therapeutic use ; Depressive Disorder, Major/drug therapy ; Depressive Disorder, Major/psychology ; Depressive Disorder, Treatment-Resistant/drug therapy ; Depressive Disorder, Treatment-Resistant/psychology ; Executive Function ; Female ; Humans ; Male ; Set (Psychology)
    Chemical Substances Antipsychotic Agents ; Aripiprazole (82VFR53I78)
    Language English
    Publishing date 2016-04
    Publishing country United States
    Document type Comment ; Editorial ; Research Support, N.I.H., Extramural
    ZDB-ID 2701203-7
    ISSN 2168-6238 ; 2168-622X
    ISSN (online) 2168-6238
    ISSN 2168-622X
    DOI 10.1001/jamapsychiatry.2015.3458
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top