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Post-intensive care syndrome and its new challenges in coronavirus disease 2019 (Covid-19) pandemic: A review of recent advances and perspectives

  • Nobuto Nakanishi
  • , Keibun Liu
  • , Daisuke Kawakami
  • , Yusuke Kawai
  • , Tomoyuki Morisawa
  • , Takeshi Nishida
  • , Hidenori Sumita
  • , Takeshi Unoki
  • , Toru Hifumi
  • , Yuki Iida
  • , Hajime Katsukawa
  • , Kensuke Nakamura
  • , Shinichiro Ohshimo
  • , Junji Hatakeyama
  • , Shigeaki Inoue
  • , Osamu Nishida

    Research output: Contribution to journal › Review article › peer-review

    Abstract

    Intensive care unit survivors experience prolonged physical impairments, cognitive im-pairments, and mental health problems, commonly referred to as post-intensive care syndrome (PICS). Previous studies reported the prevalence, assessment, and prevention of PICS, including the ABCDEF bundle approach. Although the management of PICS has been advanced, the outbreak of coronavirus disease 2019 (COVID-19) posed an additional challenge to PICS. The prevalence of PICS after COVID-19 extensively varied with 28–87% of cases pertaining to physical impairments, 20–57% pertaining to cognitive impairments, and 6–60% pertaining to mental health problems after 1–6 months after discharge. Each component of the ABCDEF bundle is not sufficiently provided from 16% to 52% owing to the highly transmissible nature of the virus. However, new data are emerging about analgesia, sedation, delirium care, nursing care, early mobilization, nutrition, and family support. In this review, we summarize the recent data on PICS and its new challenge in PICS after COVID-19 infection.

    Original languageEnglish
    Article number3870
    JournalJournal of Clinical Medicine
    Volume10
    Issue number17
    DOIs
    Publication statusPublished - 01-09-2021

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    All Science Journal Classification (ASJC) codes

    • General Medicine

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