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  1. Article ; Online: Changes in Cancer Therapy After ICU Admission: The Long Arm of Delirium.

    Stephens, R Scott / Mikkelsen, Mark E

    Critical care medicine

    2023  Volume 52, Issue 1, Page(s) 160–162

    MeSH term(s) Humans ; Neoplasms ; Hospitalization ; Delirium/therapy ; Intensive Care Units
    Language English
    Publishing date 2023-12-14
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000006081
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1261: Show issues Location:
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  2. Article ; Online: A New Era in Critical Care Trials: Linking ICU Practice to Long-Term Outcomes.

    Hippensteel, Joseph A / Aggarwal, Neil R / Mikkelsen, Mark E

    American journal of respiratory and critical care medicine

    2024  Volume 209, Issue 7, Page(s) 782–784

    MeSH term(s) Adult ; Humans ; Respiration, Artificial ; Critical Care ; Intensive Care Units ; Cognition ; Oxygen
    Chemical Substances Oxygen (S88TT14065)
    Language English
    Publishing date 2024-02-22
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1180953-x
    ISSN 1535-4970 ; 0003-0805 ; 1073-449X
    ISSN (online) 1535-4970
    ISSN 0003-0805 ; 1073-449X
    DOI 10.1164/rccm.202402-0349ED
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The A2F Bundle: Quantity and Quality Matter.

    Mikkelsen, Mark E / Devlin, John W

    Critical care medicine

    2021  Volume 49, Issue 2, Page(s) 380–382

    Language English
    Publishing date 2021-01-10
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000004794
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The Intersection of Health and Critical Illness: Preservation and Restoration.

    Maley, Jason H / Mikkelsen, Mark E

    American journal of respiratory and critical care medicine

    2021  Volume 203, Issue 12, Page(s) 1451–1453

    MeSH term(s) Critical Illness ; Humans
    Language English
    Publishing date 2021-02-26
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1180953-x
    ISSN 1535-4970 ; 0003-0805 ; 1073-449X
    ISSN (online) 1535-4970
    ISSN 0003-0805 ; 1073-449X
    DOI 10.1164/rccm.202102-0306ED
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Triangulating Weakness, Morbidity, and Mortality Among Acute Respiratory Distress Syndrome Survivors: A Story Emerges.

    Mikkelsen, Mark E

    Critical care medicine

    2017  Volume 45, Issue 2, Page(s) 370–371

    MeSH term(s) Cohort Studies ; Humans ; Longitudinal Studies ; Morbidity ; Respiratory Distress Syndrome, Adult ; Survivors
    Language English
    Publishing date 2017-01-17
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000002118
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1261: Show issues Location:
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  6. Article ; Online: Early Forecasting of Posttraumatic Stress Disorder Symptoms After Critical Illness: Partly Cloudy But Clearing.

    Derry, Heather M / Mikkelsen, Mark E

    Critical care medicine

    2020  Volume 48, Issue 11, Page(s) 1694–1696

    MeSH term(s) Anxiety ; Critical Illness ; Humans ; Intensive Care Units ; Stress Disorders, Post-Traumatic/epidemiology
    Language English
    Publishing date 2020-12-10
    Publishing country United States
    Document type Editorial ; Research Support, N.I.H., Extramural ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000004629
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Why Sepsis Survivors Need an ICD-10 Code for "Sepsis Aftercare".

    Oh, Sungho / Mikkelsen, Mark E / O'Connor, Melissa / Bowles, Kathryn H

    Chest

    2022  Volume 162, Issue 5, Page(s) 979–981

    MeSH term(s) Humans ; Aftercare ; International Classification of Diseases ; Survivors ; Sepsis/diagnosis ; Sepsis/therapy
    Language English
    Publishing date 2022-08-31
    Publishing country United States
    Document type Editorial
    ZDB-ID 1032552-9
    ISSN 1931-3543 ; 0012-3692
    ISSN (online) 1931-3543
    ISSN 0012-3692
    DOI 10.1016/j.chest.2022.06.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.MO 349: Show issues

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  8. Article ; Online: Risk Stratification Tools in Sepsis: From Acute Physiology and Chronic Health Evaluation to Quick Sequential Organ Failure Assessment.

    Lee, Jessica T / Mikkelsen, Mark E

    Critical care medicine

    2019  Volume 47, Issue 8, Page(s) 1159–1161

    MeSH term(s) APACHE ; Comorbidity ; Hospital Mortality ; Humans ; Organ Dysfunction Scores ; Risk Assessment ; Sepsis/epidemiology
    Language English
    Publishing date 2019-07-14
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 197890-1
    ISSN 1530-0293 ; 0090-3493
    ISSN (online) 1530-0293
    ISSN 0090-3493
    DOI 10.1097/CCM.0000000000003859
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1261: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    ab Jg. 2022: Lesesaal (EG)

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  9. Article ; Online: Functional outcomes following critical illness: epidemiology, current management strategies and the future priorities.

    McPeake, Joanne / Sevin, Carla M / Mikkelsen, Mark E

    Current opinion in critical care

    2021  Volume 27, Issue 5, Page(s) 506–512

    Abstract: Purpose of review: Intensive care unit (ICU) survivorship has gained significant attention over the course of the COVID-19 pandemic. In this review, we summarize the contemporary literature in relation to the epidemiology and management of post-ICU ... ...

    Abstract Purpose of review: Intensive care unit (ICU) survivorship has gained significant attention over the course of the COVID-19 pandemic. In this review, we summarize the contemporary literature in relation to the epidemiology and management of post-ICU problems.
    Recent findings: Survivors of critical illness can have complex physical, social, emotional and cognitive needs in the months following hospital discharge. Emerging evidence has shown that pre-ICU characteristics such as educational attainment, alongside in-ICU factors such as delirium, may contribute to worsening outcomes. Evidence regarding the impact of post-ICU recovery services is evolving, but models such as post-ICU clinics and peer support programs are gaining rapid momentum.
    Summary: Future research should focus on modifiable risk factors and how identification and treatment of these can improve outcomes. Furthermore, rigorous evaluation of postacute critical care recovery services is necessary.
    MeSH term(s) COVID-19 ; Critical Illness ; Humans ; Intensive Care Units ; Pandemics ; SARS-CoV-2
    Language English
    Publishing date 2021-07-07
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1235629-3
    ISSN 1531-7072 ; 1070-5295
    ISSN (online) 1531-7072
    ISSN 1070-5295
    DOI 10.1097/MCC.0000000000000856
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4999: Show issues Location:
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  10. Article ; Online: Comparison of methods for spectral alignment and signal modelling of GABA-edited MR spectroscopy data.

    Rideaux, Reuben / Mikkelsen, Mark / Edden, Richard A E

    NeuroImage

    2021  Volume 232, Page(s) 117900

    Abstract: ... alignment methods (i.e., retrospective frequency and phase drift correction) and six GABA signal modelling ...

    Abstract Many methods exist for aligning and quantifying magnetic resonance spectroscopy (MRS) data to measure in vivo γ-aminobutyric acid (GABA). Research comparing the performance of these methods is scarce partly due to the lack of ground-truth measurements. The concentration of GABA is approximately two times higher in grey matter than in white matter. Here we use the proportion of grey matter within the MRS voxel as a proxy for ground-truth GABA concentration to compare the performance of four spectral alignment methods (i.e., retrospective frequency and phase drift correction) and six GABA signal modelling methods. We analyse a diverse dataset of 432 MEGA-PRESS scans targeting multiple brain regions and find that alignment to the creatine (Cr) signal produces GABA+ estimates that account for approximately twice as much of the variance in grey matter as the next best performing alignment method. Further, Cr alignment was the most robust, producing the fewest outliers. By contrast, all signal modelling methods, except for the single-Lorentzian model, performed similarly well. Our results suggest that variability in performance is primarily caused by differences in the zero-order phase estimated by each alignment method, rather than frequency, resulting from first-order phase offsets within subspectra. These results provide support for Cr alignment as the optimal method of processing MEGA-PRESS to quantify GABA. However, more broadly, they demonstrate a method of benchmarking quantification of in vivo metabolite concentration from other MRS sequences.
    MeSH term(s) Data Analysis ; Databases, Factual ; Gray Matter/diagnostic imaging ; Gray Matter/metabolism ; Humans ; Magnetic Resonance Spectroscopy/methods ; Models, Neurological ; gamma-Aminobutyric Acid/metabolism
    Chemical Substances gamma-Aminobutyric Acid (56-12-2)
    Language English
    Publishing date 2021-02-27
    Publishing country United States
    Document type Comparative Study ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2021.117900
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.MO 7: Show issues

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