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  1. Article ; Online: The current state of physical activity assessment and interventions with public policy solutions.

    Whitsel, Laurie P / Bantham, Amy / Chase, Paul J / Dunn, Patrick / Hovind, Lindsay / McSwain, Brooke

    Progress in cardiovascular diseases

    2024  

    Abstract: Currently, assessing physical activity (PA) and cardiorespiratory fitness in healthcare settings and supporting patients on their journey toward active living is not a standard of practice in the US, although significant progress is underway. This paper ... ...

    Abstract Currently, assessing physical activity (PA) and cardiorespiratory fitness in healthcare settings and supporting patients on their journey toward active living is not a standard of practice in the US, although significant progress is underway. This paper summarizes the foundational as well as supporting public policies necessary to make PA assessment, prescription, and referral a standard of care in the US healthcare system to support active living for all. Measure standardization and healthcare integration will be supported by digital health and public private partnerships, as well as payer strategies and quality and performance incentives. The policy and systems change effort, currently being led by the Physical Activity Alliance's "It's Time to Move" initiative, will improve patient care and the ability to monitor PA levels across the US population, filling in gaps in current national public health surveillance systems. Having patient data available will also allow for additional research that elucidates the relationship between PA and overall health and well-being.
    Language English
    Publishing date 2024-02-28
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 209312-1
    ISSN 1873-1740 ; 1532-8643 ; 0033-0620
    ISSN (online) 1873-1740 ; 1532-8643
    ISSN 0033-0620
    DOI 10.1016/j.pcad.2024.02.012
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The 'normal' adjustment of oxygen delivery to small muscle mass exercise is not optimized for muscle contractile function.

    Drouin, Patrick J / Liu, Taylor / Lew, Lindsay A / McGarity-Shipley, Ellen / Tschakovsky, Michael E

    The Journal of physiology

    2023  Volume 601, Issue 4, Page(s) 783–799

    Abstract: Oxygen delivery is viewed as tightly coupled to demand in exercise below critical power because increasing oxygen delivery does not ... ...

    Abstract Oxygen delivery is viewed as tightly coupled to demand in exercise below critical power because increasing oxygen delivery does not increase
    MeSH term(s) Humans ; Female ; Hand Strength/physiology ; Muscle Contraction/physiology ; Hemodynamics/physiology ; Muscle, Skeletal/physiology ; Oxygen/metabolism ; Blood Pressure/physiology
    Chemical Substances Oxygen (S88TT14065)
    Language English
    Publishing date 2023-01-31
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 3115-x
    ISSN 1469-7793 ; 0022-3751
    ISSN (online) 1469-7793
    ISSN 0022-3751
    DOI 10.1113/JP283933
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Business as usual? Drinking games participation before and during an academic pandemic (COVID-19) year among university students.

    Zamboanga, Byron L / Ramarushton, Banan / Blumenthal, Heidemarie / Thompson, Linda / Ham, Lindsay S / Bartholomew, John B / Schwartz, Seth J / Harkness, Audrey / Subrahmanyam, Kaveri / McClain, Patrick / Regan, Pamela / Michikyan, Minas

    Journal of American college health : J of ACH

    2024  , Page(s) 1–8

    Abstract: Objective: ...

    Abstract Objective:
    Language English
    Publishing date 2024-01-29
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604907-2
    ISSN 1940-3208 ; 0744-8481
    ISSN (online) 1940-3208
    ISSN 0744-8481
    DOI 10.1080/07448481.2023.2301328
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Examining the Factor Structure and Correlates of Motives to Drink Before Attending a Virtual Social Event During COVID-19 Among University Students.

    Zamboanga, Byron L / Ramarushton, Banan / Blumenthal, Heidemarie / Thompson, Linda / Ham, Lindsay S / McClain, Patrick / Regan, Pamela / Harkness, Audrey / Subrahmanyam, Kaveri / Schwartz, Seth J

    Substance use & misuse

    2024  Volume 59, Issue 7, Page(s) 1102–1109

    Abstract: ... ...

    Abstract Background
    MeSH term(s) Humans ; Female ; Universities ; Pandemics ; COVID-19 ; Alcohol Drinking ; Motivation ; Alcohol Drinking in College ; Students ; Adaptation, Psychological ; Social Behavior
    Language English
    Publishing date 2024-03-03
    Publishing country England
    Document type Journal Article
    ZDB-ID 1310358-1
    ISSN 1532-2491 ; 1082-6084
    ISSN (online) 1532-2491
    ISSN 1082-6084
    DOI 10.1080/10826084.2024.2320389
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Nuts and bolts of COVID-19 associated coagulopathy: the essentials for management and treatment.

    Lindsay, Patrick J / Rosovsky, Rachel / Bittner, Edward A / Chang, Marvin G

    Postgraduate medicine

    2021  Volume 133, Issue 8, Page(s) 899–911

    Abstract: Introduction: COVID-19-associated coagulopathy (CAC) is a well-recognized hematologic complication among patients with severe COVID-19 disease, where macro- and micro-thrombosis can lead to multiorgan injury and failure. Major societal guidelines that ... ...

    Abstract Introduction: COVID-19-associated coagulopathy (CAC) is a well-recognized hematologic complication among patients with severe COVID-19 disease, where macro- and micro-thrombosis can lead to multiorgan injury and failure. Major societal guidelines that have published on the management of CAC are based on consensus of expert opinion, with the current evidence available. As a result of limited studies, there are many clinical scenarios that are yet to be addressed, with expert opinion varying on a number of important clinical issues regarding CAC management.
    Methods: In this review, we utilize current societal guidelines to provide a framework for practitioners in managing their patients with CAC. We have also provided three clinical scenarios that implement important principles of anticoagulation in patients with COVID-19.
    Conclusion: Overall, decisions should be made on acase by cases basis and based on the providers understanding of each patient's medical history, clinical course and perceived risk.
    MeSH term(s) Anticoagulants/adverse effects ; Anticoagulants/therapeutic use ; Biomarkers/blood ; Blood Coagulation Disorders/diagnosis ; Blood Coagulation Disorders/therapy ; Blood Coagulation Disorders/virology ; COVID-19/complications ; Drug Monitoring ; Fibrinolytic Agents/therapeutic use ; Hemorrhage/chemically induced ; Hemorrhage/therapy ; Heparin/therapeutic use ; Humans ; Practice Guidelines as Topic ; Prevalence ; Thromboembolism/diagnosis ; Thromboembolism/epidemiology ; Thromboembolism/therapy ; Thromboembolism/virology ; Thrombosis/diagnosis ; Thrombosis/epidemiology ; Thrombosis/therapy ; Thrombosis/virology
    Chemical Substances Anticoagulants ; Biomarkers ; Fibrinolytic Agents ; Heparin (9005-49-6)
    Language English
    Publishing date 2021-09-11
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 410138-8
    ISSN 1941-9260 ; 0032-5481
    ISSN (online) 1941-9260
    ISSN 0032-5481
    DOI 10.1080/00325481.2021.1974212
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Early development and epilepsy in tuberous sclerosis complex: A prospective longitudinal study.

    Lindsay, Natasha / Runicles, Abigail / Johnson, Mark H / Jones, Emily J H / Bolton, Patrick F / Charman, Tony / Tye, Charlotte

    Developmental medicine and child neurology

    2023  Volume 66, Issue 5, Page(s) 635–643

    Abstract: Aim: To characterize early changes in developmental ability, language, and adaptive behaviour in infants diagnosed with tuberous sclerosis complex (TSC), and determine whether clinical features of epilepsy influence this pathway.: Method: Prospective, ...

    Abstract Aim: To characterize early changes in developmental ability, language, and adaptive behaviour in infants diagnosed with tuberous sclerosis complex (TSC), and determine whether clinical features of epilepsy influence this pathway.
    Method: Prospective, longitudinal data were collected within the Early Development in Tuberous Sclerosis (EDiTS) Study to track development of infants with TSC (n = 32) and typically developing infants (n = 33) between 3 and 24 months of age. Questionnaire and observational measures were used at up to seven timepoints to assess infants' adaptive behaviour, developmental ability, language, and epilepsy.
    Results: A significant group by age interaction effect showed that infants with TSC had lower adaptive functioning at 18 to 24 months old (intercept = 88.12, slope estimate = -0.82, p < 0.001) and lower developmental ability scores from 10 months old (intercept = 83.33, slope estimate = -1.44, p < 0.001) compared to typically developing infants. Early epilepsy severity was a significant predictor of these emerging developmental (R
    Interpretation: Divergence of developmental ability and adaptive functioning skills occur in infants with TSC from 10 and 18 months, respectively. Associations between early epilepsy severity and impaired development supports the importance of early intervention to reduce seizure severity.
    MeSH term(s) Infant ; Humans ; Child, Preschool ; Prospective Studies ; Tuberous Sclerosis/complications ; Tuberous Sclerosis/diagnosis ; Longitudinal Studies ; Epilepsy/complications ; Seizures/complications
    Language English
    Publishing date 2023-10-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 80369-8
    ISSN 1469-8749 ; 0012-1622
    ISSN (online) 1469-8749
    ISSN 0012-1622
    DOI 10.1111/dmcn.15765
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Developing a machine learning model to detect diagnostic uncertainty in clinical documentation.

    Marshall, Trisha L / Nickels, Lindsay C / Brady, Patrick W / Edgerton, Ezra J / Lee, James J / Hagedorn, Philip A

    Journal of hospital medicine

    2023  Volume 18, Issue 5, Page(s) 405–412

    Abstract: Background and objective: Diagnostic uncertainty, when unrecognized or poorly communicated, can result in diagnostic error. However, diagnostic uncertainty is challenging to study due to a lack of validated identification methods. This study aims to ... ...

    Abstract Background and objective: Diagnostic uncertainty, when unrecognized or poorly communicated, can result in diagnostic error. However, diagnostic uncertainty is challenging to study due to a lack of validated identification methods. This study aims to identify distinct linguistic patterns associated with diagnostic uncertainty in clinical documentation.
    Design, setting and participants: This case-control study compares the clinical documentation of hospitalized children who received a novel uncertain diagnosis (UD) diagnosis label during their admission to a set of matched controls. Linguistic analyses identified potential linguistic indicators (i.e., words or phrases) of diagnostic uncertainty that were then manually reviewed by a linguist and clinical experts to identify those most relevant to diagnostic uncertainty. A natural language processing program categorized medical terminology into semantic types (i.e., sign or symptom), from which we identified a subset of these semantic types that both categorized reliably and were relevant to diagnostic uncertainty. Finally, a competitive machine learning modeling strategy utilizing the linguistic indicators and semantic types compared different predictive models for identifying diagnostic uncertainty.
    Results: Our cohort included 242 UD-labeled patients and 932 matched controls with a combination of 3070 clinical notes. The best-performing model was a random forest, utilizing a combination of linguistic indicators and semantic types, yielding a sensitivity of 89.4% and a positive predictive value of 96.7%.
    Conclusion: Expert labeling, natural language processing, and machine learning methods combined with human validation resulted in highly predictive models to detect diagnostic uncertainty in clinical documentation and represent a promising approach to detecting, studying, and ultimately mitigating diagnostic uncertainty in clinical practice.
    MeSH term(s) Child ; Humans ; Uncertainty ; Case-Control Studies ; Machine Learning ; Natural Language Processing ; Documentation
    Language English
    Publishing date 2023-03-15
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2233783-0
    ISSN 1553-5606 ; 1553-5592
    ISSN (online) 1553-5606
    ISSN 1553-5592
    DOI 10.1002/jhm.13080
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Embryonal tumor with multilayered rosettes: Overview of diagnosis and therapy.

    Chadda, Karan R / Solano-Páez, Palma / Khan, Sara / Llempén-López, Mercedes / Phyu, Poe / Horan, Gail / Trotman, Jamie / Tarpey, Patrick / Erker, Craig / Lindsay, Holly / Addy, Dilys / Jacques, Thomas S / Allinson, Kieren / Pizer, Barry / Huang, Annie / Murray, Matthew J

    Neuro-oncology advances

    2023  Volume 5, Issue 1, Page(s) vdad052

    Language English
    Publishing date 2023-04-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 3009682-0
    ISSN 2632-2498 ; 2632-2498
    ISSN (online) 2632-2498
    ISSN 2632-2498
    DOI 10.1093/noajnl/vdad052
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Racial Disparities in the Ascertainment of Cancer Recurrence in Electronic Health Records.

    Khor, Sara / Heagerty, Patrick J / Basu, Anirban / Haupt, Eric C / Lyons, Lindsay Joe L / Hahn, Erin E / Bansal, Aasthaa

    JCO clinical cancer informatics

    2023  Volume 7, Page(s) e2300004

    Abstract: Purpose: There is growing interest in using computable phenotypes or proxies to identify important clinical outcomes, such as cancer recurrence, in rich electronic health records data. However, the race/ethnicity-specific accuracies of these proxies ... ...

    Abstract Purpose: There is growing interest in using computable phenotypes or proxies to identify important clinical outcomes, such as cancer recurrence, in rich electronic health records data. However, the race/ethnicity-specific accuracies of these proxies remain unclear. We examined whether the accuracy of a proxy for colorectal cancer (CRC) recurrence differed by race/ethnicity and the possible mechanisms that drove the differences.
    Methods: Using data from a large integrated health care system, we identified a stratified random sample of 282 Black/African American (AA), Hispanic, and non-Hispanic White (NHW) patients with CRC who received primary treatment. Patient 5-year recurrence status was estimated using a utilization-based proxy and evaluated against the true recurrence status obtained using detailed chart review and by race/ethnicity. We used covariate-adjusted probit regression models to estimate the associations between race/ethnicity and misclassification.
    Results: The recurrence proxy had excellent overall accuracy (positive predictive value [PPV] 89.4%; negative predictive value 96.5%; mean difference in timing 1.96 months); however, accuracy varied by race/ethnicity. Compared with NHW patients, PPV was 14.9% lower (95% CI, 2.53 to 28.6) among Hispanic patients and 4.3% lower (95% CI, -4.8 to 14.8) among Black/AA patients. The proxy disproportionately inflated the 5-year recurrence incidence for Hispanic patients by 10.6% (95% CI, 4.2 to 18.2). Compared with NHW patients, proxy recurrences for Hispanic patients were almost three times as likely to have been misclassified as positive (adjusted risk ratio 2.91 [95% CI, 1.21 to 8.31]). Higher false positives among racial/ethnic minorities may be related to higher prevalence of noncancerous lung-related problems and substantial delays in primary treatment because of insufficient patient-provider communication and abnormal treatment patterns.
    Conclusion: Using a proxy with worse accuracy among racial/ethnic minority patients to estimate population health may misdirect resources and support erroneous conclusions around treatment benefit for these patients.
    MeSH term(s) Humans ; Electronic Health Records ; Ethnicity ; Hispanic or Latino ; Minority Groups ; Neoplasms/diagnosis ; Neoplasms/epidemiology ; Neoplasms/therapy ; Health Status Disparities ; Black or African American ; White
    Language English
    Publishing date 2023-05-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, P.H.S. ; Research Support, N.I.H., Extramural
    ISSN 2473-4276
    ISSN (online) 2473-4276
    DOI 10.1200/CCI.23.00004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Genomic Diagnosis of Rare Pediatric Disease in the United Kingdom and Ireland.

    Wright, Caroline F / Campbell, Patrick / Eberhardt, Ruth Y / Aitken, Stuart / Perrett, Daniel / Brent, Simon / Danecek, Petr / Gardner, Eugene J / Chundru, V Kartik / Lindsay, Sarah J / Andrews, Katrina / Hampstead, Juliet / Kaplanis, Joanna / Samocha, Kaitlin E / Middleton, Anna / Foreman, Julia / Hobson, Rachel J / Parker, Michael J / Martin, Hilary C /
    FitzPatrick, David R / Hurles, Matthew E / Firth, Helen V

    The New England journal of medicine

    2023  Volume 388, Issue 17, Page(s) 1559–1571

    Abstract: Background: Pediatric disorders include a range of highly penetrant, genetically heterogeneous conditions amenable to genomewide diagnostic approaches. Finding a molecular diagnosis is challenging but can have profound lifelong benefits.: Methods: We ...

    Abstract Background: Pediatric disorders include a range of highly penetrant, genetically heterogeneous conditions amenable to genomewide diagnostic approaches. Finding a molecular diagnosis is challenging but can have profound lifelong benefits.
    Methods: We conducted a large-scale sequencing study involving more than 13,500 families with probands with severe, probably monogenic, difficult-to-diagnose developmental disorders from 24 regional genetics services in the United Kingdom and Ireland. Standardized phenotypic data were collected, and exome sequencing and microarray analyses were performed to investigate novel genetic causes. We developed an iterative variant analysis pipeline and reported candidate variants to clinical teams for validation and diagnostic interpretation to inform communication with families. Multiple regression analyses were performed to evaluate factors affecting the probability of diagnosis.
    Results: A total of 13,449 probands were included in the analyses. On average, we reported 1.0 candidate variant per parent-offspring trio and 2.5 variants per singleton proband. Using clinical and computational approaches to variant classification, we made a diagnosis in approximately 41% of probands (5502 of 13,449). Of 3599 probands in trios who received a diagnosis by clinical assertion, approximately 76% had a pathogenic de novo variant. Another 22% of probands (2997 of 13,449) had variants of uncertain significance in genes that were strongly linked to monogenic developmental disorders. Recruitment in a parent-offspring trio had the largest effect on the probability of diagnosis (odds ratio, 4.70; 95% confidence interval [CI], 4.16 to 5.31). Probands were less likely to receive a diagnosis if they were born extremely prematurely (i.e., 22 to 27 weeks' gestation; odds ratio, 0.39; 95% CI, 0.22 to 0.68), had in utero exposure to antiepileptic medications (odds ratio, 0.44; 95% CI, 0.29 to 0.67), had mothers with diabetes (odds ratio, 0.52; 95% CI, 0.41 to 0.67), or were of African ancestry (odds ratio, 0.51; 95% CI, 0.31 to 0.78).
    Conclusions: Among probands with severe, probably monogenic, difficult-to-diagnose developmental disorders, multimodal analysis of genomewide data had good diagnostic power, even after previous attempts at diagnosis. (Funded by the Health Innovation Challenge Fund and Wellcome Sanger Institute.).
    MeSH term(s) Child ; Humans ; Exome ; Genomics ; Ireland/epidemiology ; United Kingdom/epidemiology ; Rare Diseases/diagnosis ; Rare Diseases/epidemiology ; Rare Diseases/genetics ; Oligonucleotide Array Sequence Analysis ; Genetic Association Studies ; Neurodevelopmental Disorders/diagnosis ; Neurodevelopmental Disorders/genetics ; Congenital Abnormalities/diagnosis ; Congenital Abnormalities/genetics ; Growth Disorders/diagnosis ; Growth Disorders/genetics ; Facies ; Child Behavior Disorders/diagnosis ; Child Behavior Disorders/genetics ; Genetic Diseases, Inborn/diagnosis ; Genetic Diseases, Inborn/genetics
    Language English
    Publishing date 2023-04-12
    Publishing country United States
    Document type Journal Article ; Multicenter Study
    ZDB-ID 207154-x
    ISSN 1533-4406 ; 0028-4793
    ISSN (online) 1533-4406
    ISSN 0028-4793
    DOI 10.1056/NEJMoa2209046
    Database MEDical Literature Analysis and Retrieval System OnLINE

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