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  1. Article ; Online: Anesthesiology Meets the Metaverse.

    Kain, Zeev N / Cannesson, Maxime P

    Anesthesia and analgesia

    2024  Volume 138, Issue 3, Page(s) 488–490

    MeSH term(s) Anesthesiology
    Language English
    Publishing date 2024-02-16
    Publishing country United States
    Document type Editorial
    ZDB-ID 80032-6
    ISSN 1526-7598 ; 0003-2999
    ISSN (online) 1526-7598
    ISSN 0003-2999
    DOI 10.1213/ANE.0000000000006552
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uk I Zs.78: Show issues Location:
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    Zs.MO 149: Show issues

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  2. Book: Perioperative hemodynamic monitoring and goal directed therapy

    Cannesson, Maxime / Pearse, Rupert

    from theory to practice

    (Cambridge medicine)

    2014  

    Author's details ed. by Maxime Cannesson and Rupert Pearse
    Series title Cambridge medicine
    Keywords Hemodynamic monitoring ; Patient monitoring ; Operating room nursing
    Subject code 616.10754
    Language English
    Size XV, 284 S. : Ill., graph. Darst., 25 cm
    Publisher Cambridge Univ. Press
    Publishing place Cambridge
    Publishing country Great Britain
    Document type Book
    Note Includes bibliographical references and index
    HBZ-ID HT018394732
    ISBN 978-1-107-09395-9 ; 1-107-09395-3
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2014 A 3576 available for loan (reading room) Lesesaal EG

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  3. Book: Monitoring technologies in acute care environments

    Ehrenfeld, Jesse M. / Cannesson, Maxime

    a comprehensive guide to patient monitoring technology

    2014  

    Author's details Jesse M. Ehrenfeld ; Maxime Cannesson ed
    Language English
    Size XV, 431 S. : Ill., graph. Darst.
    Publisher Springer
    Publishing place New York u.a.
    Publishing country United States
    Document type Book
    HBZ-ID HT018125798
    ISBN 978-1-4614-8556-8 ; 9781461485575 ; 1-4614-8556-8 ; 1461485576
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2014 A 117 available for loan (reading room) Lesesaal EG

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  4. Article ; Online: From Invention to Innovation: Bringing Perioperative Physiological Closed-Loop Systems to the Bedside.

    Cannesson, Maxime

    Anesthesia and analgesia

    2018  Volume 126, Issue 6, Page(s) 1812–1813

    MeSH term(s) Critical Care ; Humans ; Inventions ; United States ; United States Food and Drug Administration
    Language English
    Publishing date 2018-05-14
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 80032-6
    ISSN 1526-7598 ; 0003-2999
    ISSN (online) 1526-7598
    ISSN 0003-2999
    DOI 10.1213/ANE.0000000000002459
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.MO 149: Show issues

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  5. Article ; Online: A Century of Technology in Anesthesia & Analgesia.

    Moon, Jane S / Cannesson, Maxime

    Anesthesia and analgesia

    2022  Volume 135, Issue 2S Suppl 1, Page(s) S48–S61

    Abstract: Technological innovation has been closely intertwined with the growth of modern anesthesiology as a medical and scientific discipline. Anesthesia & Analgesia, the longest-running physician anesthesiology journal in the world, has documented key ... ...

    Abstract Technological innovation has been closely intertwined with the growth of modern anesthesiology as a medical and scientific discipline. Anesthesia & Analgesia, the longest-running physician anesthesiology journal in the world, has documented key technological developments in the specialty over the past 100 years. What began as a focus on the fundamental tools needed for effective anesthetic delivery has evolved over the century into an increasing emphasis on automation, portability, and machine intelligence to improve the quality, safety, and efficiency of patient care.
    MeSH term(s) Analgesia ; Anesthesia/history ; Anesthesiology/history ; Anesthetics ; History, 20th Century ; Humans ; Technology
    Chemical Substances Anesthetics
    Language English
    Publishing date 2022-07-15
    Publishing country United States
    Document type Historical Article ; Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 80032-6
    ISSN 1526-7598 ; 0003-2999
    ISSN (online) 1526-7598
    ISSN 0003-2999
    DOI 10.1213/ANE.0000000000006027
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Opioid-Free Anesthesia: The Pros and Cons.

    Carcamo-Cavazos, Valeria / Cannesson, Maxime

    Advances in anesthesia

    2022  Volume 40, Issue 1, Page(s) 149–166

    Abstract: Appropriate perioperative pain control is essential to aid in patients' recovery after surgery; however, acute postsurgical pain remains poorly treated and there continues to be an overreliance on opiates. Perioperative pain control starts in the ... ...

    Abstract Appropriate perioperative pain control is essential to aid in patients' recovery after surgery; however, acute postsurgical pain remains poorly treated and there continues to be an overreliance on opiates. Perioperative pain control starts in the operating room, and opiate-free anesthesia (OFA), where no opiates are used intraoperatively, has been proposed as a feasible strategy to further minimize opiates in the perioperative period. In this article, we address the potential benefits and shortcomings of OFA, while exploring tools available to accomplish multimodal anesthesia and ideally OFA, and the evidence behind the techniques proposed.
    MeSH term(s) Humans ; Analgesics, Opioid/adverse effects ; Pain, Postoperative/drug therapy ; Pain, Postoperative/prevention & control ; Anesthesia/adverse effects ; Anesthesia/methods ; Acute Pain
    Chemical Substances Analgesics, Opioid
    Language English
    Publishing date 2022-11-02
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 632613-4
    ISSN 1878-0415 ; 0737-6146
    ISSN (online) 1878-0415
    ISSN 0737-6146
    DOI 10.1016/j.aan.2022.07.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Closing the loop: automation in anesthesiology is coming.

    Coeckelenbergh, Sean / Joosten, Alexandre / Cannesson, Maxime / Rinehart, Joseph

    Journal of clinical monitoring and computing

    2023  Volume 38, Issue 1, Page(s) 1–4

    Abstract: Anesthesiology and intensive care medicine provide fertile ground for innovation in automation, but to date we have only achieved preliminary studies in closed-loop intravenous drug administration. Anesthesiologists have yet to implement these tools on a ...

    Abstract Anesthesiology and intensive care medicine provide fertile ground for innovation in automation, but to date we have only achieved preliminary studies in closed-loop intravenous drug administration. Anesthesiologists have yet to implement these tools on a large scale despite clear evidence that they outperform manual titration. Closed-loops continuously assess a predefined variable as input into a controller and then attempt to establish equilibrium by administering a treatment as output. The aim is to decrease the error between the closed-loop controller's input and output. In this editorial we consider the available intravenous anesthesia closed-loop systems, try to clarify why they have not yet been implemented on a large scale, see what they offer, and propose the future steps towards automation in anesthesia.
    MeSH term(s) Humans ; Anesthesiology ; Anesthesia ; Automation ; Anesthesia, Intravenous ; Infusions, Intravenous
    Language English
    Publishing date 2023-09-14
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 1418733-4
    ISSN 1573-2614 ; 1387-1307 ; 0748-1977
    ISSN (online) 1573-2614
    ISSN 1387-1307 ; 0748-1977
    DOI 10.1007/s10877-023-01077-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

    Full text online

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    Zs.A 2054: Show issues Location:
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  8. Article ; Online: Precision medicine in anesthesiology.

    Jalilian, Laleh / Cannesson, Maxime

    International anesthesiology clinics

    2020  Volume 58, Issue 4, Page(s) 17–22

    MeSH term(s) Anesthesiology ; Humans ; Precision Medicine
    Keywords covid19
    Language English
    Publishing date 2020-09-29
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 210757-0
    ISSN 1537-1913 ; 0020-5907
    ISSN (online) 1537-1913
    ISSN 0020-5907
    DOI 10.1097/AIA.0000000000000297
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Control of mean arterial pressure using a closed-loop system for norepinephrine infusion in severe brain injury patients: the COMAT randomized controlled trial.

    Joosten, Alexandre / Rinehart, Joseph / Cannesson, Maxime / Coeckelenbergh, Sean / Pochard, Jonas / Vicaut, Eric / Duranteau, Jacques

    Journal of clinical monitoring and computing

    2024  Volume 38, Issue 1, Page(s) 25–30

    Abstract: Brain injury patients require precise blood pressure (BP) management to maintain cerebral perfusion pressure (CPP) and avoid intracranial hypertension. Nurses have many tasks and norepinephrine titration has been shown to be suboptimal. This can lead to ... ...

    Abstract Brain injury patients require precise blood pressure (BP) management to maintain cerebral perfusion pressure (CPP) and avoid intracranial hypertension. Nurses have many tasks and norepinephrine titration has been shown to be suboptimal. This can lead to limited BP control in patients that are in critical need of cerebral perfusion optimization. We have designed a closed-loop vasopressor (CLV) system capable of maintaining mean arterial pressure (MAP) in a narrow range and we aimed to assess its performance when treating severe brain injury patients. Within the first 48 h of intensive care unit (ICU) admission, 18 patients with a severe brain injury underwent either CLV or manual norepinephrine titration. In both groups, the objective was to maintain MAP in target (within ± 5 mmHg of a predefined target MAP) to achieve optimal CPP. Fluid administration was standardized in the two groups. The primary objective was the percentage of time patients were in target. Secondary outcomes included time spent over and under target. Over the four-hour study period, the mean percentage of time with MAP in target was greater in the CLV group than in the control group (95.8 ± 2.2% vs. 42.5 ± 27.0%, p < 0.001). Severe undershooting, defined as MAP < 10 mmHg of target value was lower in the CLV group (0.2 ± 0.3% vs. 7.4 ± 14.2%, p < 0.001) as was severe overshooting defined as MAP > 10 mmHg of target (0.0 ± 0.0% vs. 22.0 ± 29.0%, p < 0.001). The CLV system can maintain MAP in target better than nurses caring for severe brain injury patients.
    MeSH term(s) Humans ; Norepinephrine ; Arterial Pressure ; Vasoconstrictor Agents/therapeutic use ; Brain Injuries/drug therapy ; Intensive Care Units ; Intracranial Pressure
    Chemical Substances Norepinephrine (X4W3ENH1CV) ; Vasoconstrictor Agents
    Language English
    Publishing date 2024-02-04
    Publishing country Netherlands
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 1418733-4
    ISSN 1573-2614 ; 1387-1307 ; 0748-1977
    ISSN (online) 1573-2614
    ISSN 1387-1307 ; 0748-1977
    DOI 10.1007/s10877-023-01119-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: An algorithm to detect dicrotic notch in arterial blood pressure and photoplethysmography waveforms using the iterative envelope mean method.

    Pal, Ravi / Rudas, Akos / Kim, Sungsoo / Chiang, Jeffrey N / Braney, Anna / Cannesson, Maxime

    medRxiv : the preprint server for health sciences

    2024  

    Abstract: Background and objective: Detection of the dicrotic notch (DN) within a cardiac cycle is essential for assessment of cardiac output, calculation of pulse wave velocity, estimation of left ventricular ejection time, and supporting feature-based machine ... ...

    Abstract Background and objective: Detection of the dicrotic notch (DN) within a cardiac cycle is essential for assessment of cardiac output, calculation of pulse wave velocity, estimation of left ventricular ejection time, and supporting feature-based machine learning models for noninvasive blood pressure estimation, and hypotension, or hypertension prediction. In this study, we present a new algorithm based on the iterative envelope mean (IEM) method to detect automatically the DN in arterial blood pressure (ABP) and photoplethysmography (PPG) waveforms.
    Methods: The algorithm was evaluated on both ABP and PPG waveforms from a large perioperative dataset (MLORD dataset) comprising 17,327 patients. The analysis involved a total of 1,171,288 cardiac cycles for ABP waveforms and 3,424,975 cardiac cycles for PPG waveforms. To evaluate the algorithm's performance, the systolic phase duration (SPD) was employed, which represents the duration from the onset of the systolic phase to the DN in the cardiac cycle. Correlation plots and regression analysis were used to compare the algorithm with an established DN detection technique (second derivative). The marking of the DN temporal location was carried out by an experienced researcher using the help of the 'find_peaks' function from the scipy PYTHON package, serving as a reference for the evaluation. The marking was visually validated by both an engineer and an anesthesiologist. The robustness of the algorithm was evaluated as the DN was made less visually distinct across signal-to-noise ratios (SNRs) ranging from -30 dB to -5 dB in both ABP and PPG waveforms.
    Results: The correlation between SPD estimated by the algorithm and that marked by the researcher is strong for both ABP (
    Conclusion: Our proposed IEM- based algorithm can detect DN in both ABP and PPG waveforms with low computational cost, even in cases where it is not distinctly defined within a cardiac cycle of the waveform ('DN-less signals'). The algorithm can potentially serve as a valuable, fast, and reliable tool for extracting features from ABP and PPG waveforms. It can be especially beneficial in medical applications where DN-based features, such as SPD, diastolic phase duration, and DN amplitude, play a significant role.
    Language English
    Publishing date 2024-03-07
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2024.03.05.24303735
    Database MEDical Literature Analysis and Retrieval System OnLINE

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