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  1. Book: Pain/palliative care

    Mackey, Sean C.

    (Anesthesiology clinics ; volume 41, number 2 (June 2023))

    2023  

    Author's details editors Sean C. Mackey, Ronald G. Pearl
    Series title Anesthesiology clinics ; volume 41, number 2 (June 2023)
    Collection
    Language English
    Size xvii Seiten, Seite 318-529, Illustrationen
    Publisher Elsevier
    Publishing place Philadelphia, Pennsylvania
    Publishing country United States
    Document type Book
    HBZ-ID HT030345429
    ISBN 978-0-443-18338-6 ; 0-443-18338-4
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    Se 904 -41,2- not available for loan Lesesaal EG

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  2. Article ; Online: Clarification of Conflict of Interest Disclosures.

    Mackey, Sean C

    JAMA surgery

    2022  Volume 157, Issue 6, Page(s) 553

    MeSH term(s) Conflict of Interest ; Disclosure ; Humans
    Language English
    Publishing date 2022-04-19
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2701841-6
    ISSN 2168-6262 ; 2168-6254
    ISSN (online) 2168-6262
    ISSN 2168-6254
    DOI 10.1001/jamasurg.2022.1319
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Clarification of Conflict of Interest Disclosure.

    Mackey, Sean C

    JAMA internal medicine

    2022  Volume 182, Issue 7, Page(s) 783

    MeSH term(s) Authorship ; Conflict of Interest ; Disclosure ; Editorial Policies ; Humans
    Language English
    Publishing date 2022-05-31
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 2699338-7
    ISSN 2168-6114 ; 2168-6106
    ISSN (online) 2168-6114
    ISSN 2168-6106
    DOI 10.1001/jamainternmed.2022.1399
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Clarification of Conflict of Interest Disclosure.

    Mackey, Sean C

    JAMA

    2022  Volume 327, Issue 16, Page(s) 1617

    MeSH term(s) Conflict of Interest ; Disclosure
    Language English
    Publishing date 2022-04-26
    Publishing country United States
    Document type Journal Article ; Published Erratum
    ZDB-ID 2958-0
    ISSN 1538-3598 ; 0254-9077 ; 0002-9955 ; 0098-7484
    ISSN (online) 1538-3598
    ISSN 0254-9077 ; 0002-9955 ; 0098-7484
    DOI 10.1001/jama.2022.4787
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  5. Article: Pain Management: Optimizing Patient Care Through Comprehensive, Interdisciplinary Models and Continuous Innovations.

    Mackey, Sean C / Pearl, Ronald G

    Anesthesiology clinics

    2023  Volume 41, Issue 2, Page(s) xv–xvii

    MeSH term(s) Humans ; Pain ; Patient Care ; Patient Care Team
    Language English
    Publishing date 2023-05-28
    Publishing country United States
    Document type Editorial
    ZDB-ID 2228899-5
    ISSN 2210-3538 ; 1932-2275 ; 0889-8537
    ISSN (online) 2210-3538
    ISSN 1932-2275 ; 0889-8537
    DOI 10.1016/j.anclin.2023.03.011
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  6. Article ; Online: Links between brain neuroimaging and blood inflammatory markers in urological chronic pelvic pain syndrome.

    Martucci, Katherine T / Karshikoff, Bianka / Mackey, Sean C

    Physiology & behavior

    2023  Volume 271, Page(s) 114358

    Abstract: Urological chronic pelvic pain syndrome (UCPPS) is a debilitating painful condition with unclear etiology. Prior researchers have indicated that compared to healthy controls, patients with UCPPS demonstrated altered brain activity. Researchers have also ... ...

    Abstract Urological chronic pelvic pain syndrome (UCPPS) is a debilitating painful condition with unclear etiology. Prior researchers have indicated that compared to healthy controls, patients with UCPPS demonstrated altered brain activity. Researchers have also shown that in UCPPS, several blood inflammatory markers relate to clinical variables of pain, fatigue, and pain widespreadness. However, how altered brain function in patients with UCPPS relates to blood inflammation remains unknown. To extend and connect prior findings of altered brain function and inflammatory factors in UCPPS, we conducted a secondary analysis of data from a cohort of UCPPS patients (N = 29) and healthy controls (N = 31) who provided both neuroimaging and blood data (National Institute of Health MAPP Research Network publicly available dataset). In our present study, we aimed to evaluate relationships between a priori-defined brain neuroimaging markers and inflammatory factors of interest and their relationships to pain-psychological variables. We hypothesized that two brain alterations of interest (i.e., PCC - left hippocampus functional connectivity and PCC - bilateral amygdala functional connectivity) would be correlated with four cytokine markers of interest: interleukin (IL) - 6, tumor necrosis factor-alpha (TNF-a), IL-8, and granulocyte-macrophage colony-stimulating factor (GM-CSF). In the UCPPS cohort, we identified a significant PCC - left hippocampus functional connectivity relationship with IL-6 (p = 0.0044). Additionally, in the UCPPS cohort, we identified a PCC - amygdala functional connectivity relationship with GM-CSF which did not meet our model's threshold for statistical significance (p = 0.0665). While these data are preliminary and cross-sectional, our findings suggest connections between brain function and levels of low-grade systemic inflammation in UCPPS. Thus, while further study is needed, our data indicate the potential for advancing the understanding of how brain functional circuits may relate to clinical symptoms and systemic inflammation.
    MeSH term(s) Humans ; Granulocyte-Macrophage Colony-Stimulating Factor ; Chronic Pain/diagnostic imaging ; Syndrome ; Cross-Sectional Studies ; Brain/diagnostic imaging ; Neuroimaging/adverse effects ; Pelvic Pain/diagnostic imaging ; Inflammation/diagnostic imaging ; Inflammation/complications
    Chemical Substances Granulocyte-Macrophage Colony-Stimulating Factor (83869-56-1)
    Language English
    Publishing date 2023-09-26
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 3907-x
    ISSN 1873-507X ; 0031-9384
    ISSN (online) 1873-507X
    ISSN 0031-9384
    DOI 10.1016/j.physbeh.2023.114358
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Blinded Pain Cocktails: A Reliable and Safe Opioid Weaning Method.

    Kwon, Albert Hyukjae / Colloca, Luana / Mackey, Sean C

    Anesthesiology clinics

    2023  Volume 41, Issue 2, Page(s) 371–381

    Abstract: Weaning opioids in patients with noncancerous chronic pain often poses a challenge when psychosocial factors complicate the patient's chronic pain syndrome and opioid use. A blinded pain cocktail protocol used to wean opioid therapy has been described ... ...

    Abstract Weaning opioids in patients with noncancerous chronic pain often poses a challenge when psychosocial factors complicate the patient's chronic pain syndrome and opioid use. A blinded pain cocktail protocol used to wean opioid therapy has been described since the 1970s. At the Stanford Comprehensive Interdisciplinary Pain Program, a blinded pain cocktail remains a reliably effective medication-behavioral intervention. This review (1) outlines psychosocial factors that may complicate opioid weaning, (2) describes clinical goals and how to use blinded pain cocktails in opioid tapering, and (3) summarizes the mechanism of dose-extending placebos and ethical justification of its use in clinical practice.
    MeSH term(s) Humans ; Analgesics, Opioid/therapeutic use ; Chronic Pain/drug therapy ; Opioid-Related Disorders/drug therapy
    Chemical Substances Analgesics, Opioid
    Language English
    Publishing date 2023-04-14
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2228899-5
    ISSN 2210-3538 ; 1932-2275 ; 0889-8537
    ISSN (online) 2210-3538
    ISSN 1932-2275 ; 0889-8537
    DOI 10.1016/j.anclin.2023.03.006
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  8. Article: Pragmatic Comparative Effectiveness Trials and Learning Health Systems in Pain Medicine: Opportunities and Challenges.

    Salmasi, Vafi / Terkawi, Abdullah Sulieman / Mackey, Sean C

    Anesthesiology clinics

    2023  Volume 41, Issue 2, Page(s) 503–517

    Abstract: Large randomized clinical trials or aggregates of clinical trials represent the highest levels of clinical evidence because they minimize different sources of confounding and bias. The current review provides an in-depth discussion of the challenges ... ...

    Abstract Large randomized clinical trials or aggregates of clinical trials represent the highest levels of clinical evidence because they minimize different sources of confounding and bias. The current review provides an in-depth discussion of the challenges faced and methods we can use to overcome these obstacles to tailor novel designs of pragmatic effectiveness trials to pain medicine. The authors describe their experiences with an open-source learning health system to collect high-quality evidence and conduct pragmatic clinical trials within a busy academic pain center.
    MeSH term(s) Humans ; Informed Consent ; Learning Health System ; Research Design ; Pain
    Language English
    Publishing date 2023-04-08
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2228899-5
    ISSN 2210-3538 ; 1932-2275 ; 0889-8537
    ISSN (online) 2210-3538
    ISSN 1932-2275 ; 0889-8537
    DOI 10.1016/j.anclin.2023.03.010
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  9. Article ; Online: Utilizing a learning health system to capture real-world patient data: Application of the reliable change index to evaluate and improve the outcome of a pain rehabilitation program.

    You, Dokyoung S / Chong, Jeanette L / Mackey, Sean C / Poupore-King, Heather

    Pain practice : the official journal of World Institute of Pain

    2024  

    Abstract: Background and objectives: The learning healthcare system (LHS) has been developed to integrate patients' clinical data into clinical decisions and improve treatment outcomes. Having little guidance on this integration process, we aim to explain (a) an ... ...

    Abstract Background and objectives: The learning healthcare system (LHS) has been developed to integrate patients' clinical data into clinical decisions and improve treatment outcomes. Having little guidance on this integration process, we aim to explain (a) an applicable analytic tool for clinicians to evaluate the clinical outcomes at a group and an individual level and (b) our quality improvement (QI) project, analyzing the outcomes of a new outpatient pain rehabilitation program ("Back-in-Action": BIA) and applying the analysis results to modify our clinical practice.
    Methods: Through our LHS (CHOIR; https://choir.stanford.edu), we administered the Pain Catastrophizing Scale (PCS), Chronic Pain Acceptance Questionnaire (CPAQ), and Patient-Reported Outcomes Measures (PROMIS)® before and after BIA. After searching for appropriate analytic tools, we decided to use the Reliable Change Index (RCI) to determine if an observed change in the direction of better (improvement) or worse (deterioration) would be beyond or within the measurement error (no change).
    Results: Our RCI calculations revealed that at least a 9-point decrease in the PCS scores and 10-point increase in the CPAQ scores would indicate reliable improvement. RCIs for the PROMIS measures ranged from 5 to 8 T-score points (i.e., 0.5-0.8 SD). When evaluating change scores of the PCS, CPAQ, and PROMIS measures, we found that 94% of patients showed improvement in at least one domain after BIA and 6% showed no reliable improvement.
    Conclusions: Our QI project revealed RCI as a useful tool to evaluate treatment outcomes at a group and an individual level, and RCI could be incorporated into the LHS to generate a progress report automatically for clinicians. We further explained how clinicians could use RCI results to modify a clinical practice, to improve the outcomes of a pain program, and to develop individualized care plans. Lastly, we suggested future research areas to improve the LHS application in pain practice.
    Language English
    Publishing date 2024-03-11
    Publishing country United States
    Document type Case Reports
    ZDB-ID 2151272-3
    ISSN 1533-2500 ; 1530-7085
    ISSN (online) 1533-2500
    ISSN 1530-7085
    DOI 10.1111/papr.13364
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  10. Article ; Online: Pain in US corrections settings: the promise of digital solutions for better data and treatment access.

    Banerjee, Aditya / Mackey, Sean C / Vest, Noel / Darnall, Beth D

    Pain medicine (Malden, Mass.)

    2023  Volume 25, Issue 3, Page(s) 165–168

    MeSH term(s) Humans ; Pain/epidemiology ; Prisoners ; United States
    Language English
    Publishing date 2023-11-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2015903-1
    ISSN 1526-4637 ; 1526-2375
    ISSN (online) 1526-4637
    ISSN 1526-2375
    DOI 10.1093/pm/pnad150
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