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Liu K, Kotani T, Nakamura K, Chihiro T, Morita Y, Ishii K, Fujizuka K, Yasumura D, Taniguchi D, Hamagami T, Shimojo N, Nitta M, Hongo T, Akieda K, Atsuo M, Kaneko T, Sakuda Y, Andoh K, Nagatomi A, Tanaka Y, Irie Y, Kamijo H, Hanazawa M, Kasugai D, Ayaka M, Oike K, Lefor AK, Takahashi K, Katsukawa H, Ogura T. Effects of evidence-based ICU care on long-term outcomes of patients with sepsis or septic shock (ILOSS): protocol for a multicentre prospective observational cohort study in Japan. BMJ Open 2022; 12:e054478. [PMID: 35351710 PMCID: PMC8961143 DOI: 10.1136/bmjopen-2021-054478] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 03/09/2022] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Sepsis is not only the leading cause of death in the intensive care unit (ICU) but also a major risk factor for physical and cognitive impairment and mental disorders, known as postintensive care syndrome (PICS), reduced health-related quality of life (HRQoL) and even mental health disorders in patient families (PICS-family; PICS-F). The ABCDEF bundle is strongly recommended to overcome them, while the association between implementing the bundle and the long-term outcomes is also unknown. METHODS AND ANALYSIS This is a multicentre prospective observational study at 26 ICUs. All consecutive patients between 1 November 2020 and 30 April 2022, who are 18 years old or older and expected to stay in an ICU for more than 48 hours due to sepsis or septic shock, are enrolled. Follow-up to evaluate survival and PICS/ PICS-F will be performed at 3, 6 and 12 months and additionally every 6 months up to 5 years after hospital discharge. Primary outcomes include survival at 12 months, which is the primary outcome, and the incidence of PICS defined as the presence of any physical impairment, cognitive impairment or mental disorders. PICS assessment scores, HRQoL and employment status are evaluated. The association between the implementation rate for the ABCDEF bundle and for each of the individual elements and long-term outcomes will be evaluated. The PICS-F, defined as the presence of mental disorders, and HRQoL of the family is also assessed. Additional analyses with data up to 5 years follow-up are planned. ETHICS AND DISSEMINATION This study received ethics approvals from Saiseikai Utsunomiya Hospital (2020-42) and all other participating institutions and was registered in the University Hospital Medical Information Network Clinical Trials Registry. Informed consent will be obtained from all patients. The findings will be published in peer-reviewed journals and presented at scientific conferences. TRIAL REGISTRATION NUMBER UMIN000041433.
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Affiliation(s)
- Keibun Liu
- Critical Care Research Group, The Prince Charles Hospital, Brisbane, Queensland, Australia
| | - Toru Kotani
- Department of Intensive Care Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Kensuke Nakamura
- Department of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Ibaraki, Japan
| | - Takai Chihiro
- Department of Emergency Medicine and Critical Care Medicine, Tochigi prefectural emergency and critical care center, Saiseikai Utsunomiya Hospital, Utsunomiya, Tochigi, Japan
| | - Yasunari Morita
- Department of Emergency and Intensive Care Medicine, National Hospital Organization Nagoya Medical Center, Nagoya, Japan
| | - Kenzo Ishii
- Department of Anesthesiology, Intensive Care Unit, Fukuyama City Hospital, Fukuyama, Hiroshima, Japan
| | - Kenji Fujizuka
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Maebashi, Japan
| | - Daisetsu Yasumura
- Department of Rehabilitation, Naha City Hospital, Naha, Okinawa, Japan
| | - Daisuke Taniguchi
- Tajima Emergency & Critical Care Medical Center, Toyooka Public Hospital, Toyooka, Japan
| | - Tomohiro Hamagami
- Tajima Emergency & Critical Care Medical Center, Toyooka Public Hospital, Toyooka, Japan
| | - Nobutake Shimojo
- Emergency and Critical Care Medicine, University of Tsukuba Faculty of Medicine, Tsukuba, Ibaraki, Japan
| | - Masakazu Nitta
- Department of Intensive Care Unit, Niigata University Medical and Dental Hospital, Niigata, Niigata, Japan
| | - Takashi Hongo
- Emergency Department, Okayama Saiseikai General Hospital, Okayama, Japan
| | - Kazuki Akieda
- Department of Emergency Medicine, SUBARU Health Insurance Society Ota Memorial Hospital, Ota, Japan
| | - Maeda Atsuo
- Department of Emergency and Disaster Medicine, Showa University Fujigaoka Hospital, Yokohama, Kanagawa, Japan
| | - Tadashi Kaneko
- Emergency and Critical Care Center, Mie University Hospital, Tsu, Mie, Japan
| | - Yutaka Sakuda
- Department of Intensive Care Medicine, Okinawa Kyodo Hospital, Naha, Okinawa, Japan
| | - Kohkichi Andoh
- Division of Anesthesiology, Sendai City Hospital, Sendai, Miyagi, Japan
| | - Akiyoshi Nagatomi
- Department of Emergency medicine and Critical Care, St. Marianna University School of Medicine, Yokohama-City Seibu Hospital, Yokohama, Japan
| | - Yukiko Tanaka
- Department of emergency, Tsukuba Medical Center Hospital, Tsukuba, Ibaraki, Japan
| | - Yuhei Irie
- Department of Emergency and Critical care medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Hiroshi Kamijo
- Intensive Care Unit, Shinshu University Hospital, Matsumoto, Nagano, Japan
| | - Manabu Hanazawa
- Department of Rehabilitation, Japan Red Cross Narita Hospital, Narita, Japan
| | - Daisuke Kasugai
- Department of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine Faculty of Medicine, Nagoya, Aichi, Japan
| | - Matsuoka Ayaka
- Department of Emergency and Critical Care Medicine Faculty, Saga University Hospital, Saga, Saga, Japan
| | - Kenji Oike
- Department of Rehabilitation, Tsuchiura Kyodo General Hospital, Tsuchiura, Japan
| | | | - Kunihiko Takahashi
- M & D Data Science Center, Tokyo Medical and Dental University, Bunkyo-ku, Tokyo, Japan
| | | | - Takayuki Ogura
- Department of Emergency Medicine and Critical Care Medicine, Tochigi prefectural emergency and critical care center, Saiseikai Utsunomiya Hospital, Utsunomiya, Tochigi, Japan
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Liu K, Nakamura K, Katsukawa H, Nydahl P, Ely EW, Kudchadkar SR, Takahashi K, Elhadi M, Gurjar M, Leong BK, Chung CR, Balachandran J, Inoue S, Lefor AK, Nishida O. Implementation of the ABCDEF Bundle for Critically Ill ICU Patients During the COVID-19 Pandemic: A Multi-National 1-Day Point Prevalence Study. Front Med (Lausanne) 2021; 8:735860. [PMID: 34778298 PMCID: PMC8581178 DOI: 10.3389/fmed.2021.735860] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Accepted: 10/05/2021] [Indexed: 11/24/2022] Open
Abstract
Background: Data regarding delivery of evidence-based care to critically ill patients in Intensive Care Units (ICU) during the COVID-19 pandemic is crucial but lacking. This study aimed to evaluate the implementation rate of the ABCDEF bundle, which is a collection of six evidence-based ICU care initiatives which are strongly recommended to be incorporated into clinical practice, and ICU diaries for patients with and without COVID-19 infections in ICUs, and to analyze the impact of COVID-19 on implementation of each element of the bundle and independent associated factors. Methods: A world-wide 1-day point prevalence study investigated the delivery of the ABCDEF bundle and ICU diary to patients without or with COVID-19 infections on 27 January 2021 via an online questionnaire. Multivariable logistic regression analysis with adjustment for patient demographics evaluated the impact of COVID-19 and identified factors in ICU administrative structures and policies independently associated with delivery. Results: From 54 countries and 135 ICUs, 1,229 patients were eligible, and 607 (49%) had COVID-19 infections. Implementation rates were: entire bundle (without COVID-19: 0% and with COVID-19: 1%), Element A (regular pain assessment: 64 and 55%), Element B (both spontaneous awakening and breathing trials: 17 and 10%), Element C (regular sedation assessment: 45 and 61%), Element D (regular delirium assessment: 39 and 35%), Element E (exercise: 22 and 25%), Element F (family engagement/empowerment: 16 and 30%), and ICU diary (17 and 21%). The presence of COVID-19 was not associated with failure to implement individual elements. Independently associated factors for each element in common between the two groups included presence of a specific written protocol, application of a target/goal, and tele-ICU management. A lower income status country and a 3:1 nurse-patient ratio were significantly associated with non-implementation of elements A, C, and D, while a lower income status country was also associated with implementation of element F. Conclusions: Regardless of COVID-19 infection status, implementation rates for the ABCDEF bundle, for each element individually and an ICU diary were extremely low for patients without and with COVID-19 infections during the pandemic. Strategies to facilitate implementation of and adherence to the complete ABCDEF bundle should be optimized and addressed based on unit-specific barriers and facilitators.
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Affiliation(s)
- Keibun Liu
- Critical Care Research Group, Faculty of Medicine, The Prince Charles Hospital, University of Queensland, Brisbane, QLD, Australia
| | - Kensuke Nakamura
- Department of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan
| | | | - Peter Nydahl
- Nursing Research, Department of Anesthesiology and Intensive Care Medicine, University Hospital of Schleswig-Holstein, Kiel, Germany
| | - Eugene Wesley Ely
- Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center, Vanderbilt University School of Medicine, Nashville, TN, United States.,Department of Veterans Affairs Medical Center, Geriatric Research Education and Clinical Center (GRECC), Tennessee Valley Healthcare System, Nashville, TN, United States
| | - Sapna R Kudchadkar
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States.,Department of Physical Medicine and Rehabilitation, Johns Hopkins University School of Medicine, Baltimore, MD, United States.,Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Kunihiko Takahashi
- Department of Biostatistics, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | | | - Mohan Gurjar
- Department of Critical Care Medicine, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, India
| | - Be Kim Leong
- Department of Rehabilitation Medicine, Sarawak General Hospital, Kuching, Malaysia
| | - Chi Ryang Chung
- Department of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | | | - Shigeaki Inoue
- Emergency and Critical Care Center, Kobe University Hospital, Kobe, Japan.,Department of Disaster and Emergency Medicine, Graduate School of Medicine, Kobe University, Kobe, Japan
| | | | - Osamu Nishida
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
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