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Imoto W, Ihara Y, Imai T, Kawai R, Yamada K, Kaneko Y, Shintani A, Kakeya H. Incidence and risk factors for coronavirus disease 2019-associated pulmonary aspergillosis using administrative claims data. Mycoses 2024; 67:e13773. [PMID: 39090076 DOI: 10.1111/myc.13773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 06/26/2024] [Accepted: 07/19/2024] [Indexed: 08/04/2024]
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19)-associated pulmonary aspergillosis (CAPA) is one of the noticeable complications of COVID-19 and its incidence varies widely. In Japan, research on the incidence, risk factors and mortality associated with CAPA is limited. OBJECTIVES This study aimed to explore the incidence and potential risk factors for CAPA in patients with severe or critical COVID-19 and evaluate the relationship between CAPA and mortality of patients with severe or critical COVID-19. METHODS We investigated the incidence of CAPA in patients with severe and critical COVID-19 using administrative claims data from acute care hospitals in Japan. We employed multivariable regression models to explore potential risk factors for CAPA and their contribution to mortality in patients with severe and critical COVID-19. RESULTS The incidence of CAPA was 0.4%-2.7% in 33,136 patients with severe to critical COVID-19. Age, male sex, chronic lung disease, steroids, immunosuppressants, intensive care unit admission, blood transfusion and dialysis were potential risk factors for CAPA in patients with severe to critical COVID-19. CAPA was an independent factor associated with mortality. CONCLUSIONS CAPA is a serious complication in patients with severe and critical COVID-19 and may increase mortality.
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Affiliation(s)
- Waki Imoto
- Department of Infection Control Science, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
- Department of Infectious Disease Medicine, Osaka Metropolitan University Hospital, Osaka, Japan
- Department of Infection Control and Prevention, Osaka Metropolitan University Hospital, Osaka, Japan
- Research Center for Infectious Disease Sciences (RCIDS), Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
- Osaka International Research for Infectious Diseases (OIRCID), Osaka Metropolitan University, Osaka, Japan
| | - Yasutaka Ihara
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
- Data Intelligence Department, Global DX, Daiichi Sankyo Co., Ltd, Tokyo, Japan
| | - Takumi Imai
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Ryota Kawai
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Koichi Yamada
- Department of Infection Control Science, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
- Department of Infectious Disease Medicine, Osaka Metropolitan University Hospital, Osaka, Japan
- Department of Infection Control and Prevention, Osaka Metropolitan University Hospital, Osaka, Japan
- Research Center for Infectious Disease Sciences (RCIDS), Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
- Osaka International Research for Infectious Diseases (OIRCID), Osaka Metropolitan University, Osaka, Japan
| | - Yukihiro Kaneko
- Research Center for Infectious Disease Sciences (RCIDS), Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
- Osaka International Research for Infectious Diseases (OIRCID), Osaka Metropolitan University, Osaka, Japan
- Department of Bacteriology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Ayumi Shintani
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Hiroshi Kakeya
- Department of Infection Control Science, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
- Department of Infectious Disease Medicine, Osaka Metropolitan University Hospital, Osaka, Japan
- Department of Infection Control and Prevention, Osaka Metropolitan University Hospital, Osaka, Japan
- Research Center for Infectious Disease Sciences (RCIDS), Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
- Osaka International Research for Infectious Diseases (OIRCID), Osaka Metropolitan University, Osaka, Japan
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Ohbe H, Matsui H, Yasunaga H. Regional Critical Care Bed Capacity and Incidence and Mortality of Mechanical Ventilation in Japan. Am J Respir Crit Care Med 2024; 210:358-361. [PMID: 38843193 DOI: 10.1164/rccm.202401-0168le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2024] Open
Affiliation(s)
- Hiroyuki Ohbe
- Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Tokyo, Japan; and
- Department of Emergency and Critical Care Medicine, Tohoku University Hospital, Sendai, Japan
| | - Hiroki Matsui
- Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Tokyo, Japan; and
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Tokyo, Japan; and
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Case AS, Hochberg CH, Hager DN. The Role of Intermediate Care in Supporting Critically Ill Patients and Critical Care Infrastructure. Crit Care Clin 2024; 40:507-522. [PMID: 38796224 PMCID: PMC11175835 DOI: 10.1016/j.ccc.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/28/2024]
Abstract
Intermediate care (IC) is used for patients who do not require the human and technological support of the intensive care unit (ICU) yet require more care and monitoring than can be provided on general wards. Though prevalent in many countries, there is marked variability in models of organization and staffing, as well as monitoring and interventions provided. In this article, the authors will discuss the historical background of IC, review the impact of IC on ICU and IC patient outcomes, and highlight where future studies can shed light on how to optimize IC organization and outcomes.
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Affiliation(s)
- Aaron S Case
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, 1830 East Monument Street, 5th Floor, Baltimore, MD 21287, USA
| | - Chad H Hochberg
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, 1830 East Monument Street, 5th Floor, Baltimore, MD 21287, USA
| | - David N Hager
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University, 1800 Orleans Street, Zayed Tower, Suite 9121, Baltimore, MD 21287, USA.
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Imoto W, Imai T, Kawai R, Ihara Y, Nonomiya Y, Namikawa H, Yamada K, Yoshida H, Kaneko Y, Shintani A, Kakeya H. Incidence and potential risk factors of human cytomegalovirus infection in patients with severe and critical coronavirus disease 2019. J Infect Chemother 2024:S1341-321X(24)00171-5. [PMID: 38944381 DOI: 10.1016/j.jiac.2024.06.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 05/07/2024] [Accepted: 06/21/2024] [Indexed: 07/01/2024]
Abstract
BACKGROUND Human cytomegalovirus (HCMV) infection occurs in immunosuppressed individuals and is known to increase mortality. Patients with coronavirus disease 2019 (COVID-19) are often treated with steroids, require intensive care unit (ICU) treatment, and may therefore be at risk for HCMV infection. However, which factors predispose severely ill patients with COVID-19 to HCMV infection and the prognostic value of such infections remain largely unexplored. This study aimed to examine the incidence and potential risk factors of HCMV infection in patients with severe or critical COVID-19 and evaluate the relationship between HCMV infection and mortality. METHODS AND FINDINGS We used administrative claims data from advanced treatment hospitals in Japan to identify and analyze patients with severe or critical COVID-19. We explored potential risk factors for HCMV infection using multivariable regression models and its contribution to mortality in patients with COVID-19. Overall, 33,151 patients who progressed to severe or critical COVID-19 illness were identified. The incidence of HCMV infection was 0.3-1.7 % depending on the definition of HCMV infection. Steroids, immunosuppressants, ICU admission, and blood transfusion were strongly associated with HCMV infection. Furthermore, HCMV infection was associated with patient mortality independent of the observed risk factors for death. CONCLUSIONS HCMV infection is a notable complication in patients with severe or critical COVID-19 who are admitted to the ICU or receive steroids, immunosuppressants, and blood transfusion and can significantly increase mortality risk.
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Affiliation(s)
- Waki Imoto
- Department of Infection Control Science, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan; Department of Infectious Disease Medicine, Osaka Metropolitan University Hospital, 1-5-7 Asahi-machi, Abeno-ku, Osaka, 545-8586, Japan; Department of Infection Control and Prevention, Osaka Metropolitan University Hospital, 1-5-7 Asahi-machi, Abeno-ku, Osaka, 545-8586, Japan; Research Center for Infectious Disease Sciences (RCIDS), Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan; Osaka International Research for Infectious Diseases (OIRCID), Osaka Metropolitan University, 1-2-7-601, Asahi-machi, Abeno-ku, Osaka, 545-0051, Japan.
| | - Takumi Imai
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
| | - Ryota Kawai
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
| | - Yasutaka Ihara
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
| | - Yuta Nonomiya
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
| | - Hiroki Namikawa
- Department of Medical Education and General Practice, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
| | - Koichi Yamada
- Department of Infection Control Science, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan; Department of Infectious Disease Medicine, Osaka Metropolitan University Hospital, 1-5-7 Asahi-machi, Abeno-ku, Osaka, 545-8586, Japan; Department of Infection Control and Prevention, Osaka Metropolitan University Hospital, 1-5-7 Asahi-machi, Abeno-ku, Osaka, 545-8586, Japan; Research Center for Infectious Disease Sciences (RCIDS), Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan; Osaka International Research for Infectious Diseases (OIRCID), Osaka Metropolitan University, 1-2-7-601, Asahi-machi, Abeno-ku, Osaka, 545-0051, Japan.
| | - Hisako Yoshida
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
| | - Yukihiro Kaneko
- Research Center for Infectious Disease Sciences (RCIDS), Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan; Osaka International Research for Infectious Diseases (OIRCID), Osaka Metropolitan University, 1-2-7-601, Asahi-machi, Abeno-ku, Osaka, 545-0051, Japan; Department of Bacteriology, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
| | - Ayumi Shintani
- Department of Medical Statistics, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan.
| | - Hiroshi Kakeya
- Department of Infection Control Science, Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan; Department of Infectious Disease Medicine, Osaka Metropolitan University Hospital, 1-5-7 Asahi-machi, Abeno-ku, Osaka, 545-8586, Japan; Department of Infection Control and Prevention, Osaka Metropolitan University Hospital, 1-5-7 Asahi-machi, Abeno-ku, Osaka, 545-8586, Japan; Research Center for Infectious Disease Sciences (RCIDS), Osaka Metropolitan University Graduate School of Medicine, 1-4-3, Asahi-machi, Abeno-ku, Osaka, 545-8585, Japan; Osaka International Research for Infectious Diseases (OIRCID), Osaka Metropolitan University, 1-2-7-601, Asahi-machi, Abeno-ku, Osaka, 545-0051, Japan.
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Ohbe H, Shime N, Yamana H, Goto T, Sasabuchi Y, Kudo D, Matsui H, Yasunaga H, Kushimoto S. Hospital and regional variations in intensive care unit admission for patients with invasive mechanical ventilation. J Intensive Care 2024; 12:21. [PMID: 38840225 PMCID: PMC11155017 DOI: 10.1186/s40560-024-00736-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Accepted: 05/29/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Patients who receive invasive mechanical ventilation (IMV) in the intensive care unit (ICU) have exhibited lower in-hospital mortality rates than those who are treated outside. However, the patient-, hospital-, and regional factors influencing the ICU admission of patients with IMV have not been quantitatively examined. METHODS This retrospective cohort study used data from the nationwide Japanese inpatient administrative database and medical facility statistics. We included patients aged ≥ 15 years who underwent IMV between April 2018 and March 2019. The primary outcome was ICU admission on the day of IMV initiation. Multilevel logistic regression analyses incorporating patient-, hospital-, or regional-level variables were used to assess cluster effects by calculating the intraclass correlation coefficient (ICC), median odds ratio (MOR), and proportional change in variance (PCV). RESULTS Among 83,346 eligible patients from 546 hospitals across 140 areas, 40.4% were treated in ICUs on their IMV start day. ICU admission rates varied widely between hospitals (median 0.7%, interquartile range 0-44.5%) and regions (median 28.7%, interquartile range 0.9-46.2%). Multilevel analyses revealed significant effects of hospital cluster (ICC 82.2% and MOR 41.4) and regional cluster (ICC 67.3% and MOR 12.0). Including patient-level variables did not change these ICCs and MORs, with a PCV of 2.3% and - 1.0%, respectively. Further adjustment for hospital- and regional-level variables decreased the ICC and MOR, with a PCV of 95.2% and 85.6%, respectively. Among the hospital- and regional-level variables, hospitals with ICU beds and regions with ICU beds had a statistically significant and strong association with ICU admission. CONCLUSIONS Our results revealed that primarily hospital and regional factors, rather than patient-related ones, opposed ICU admissions for patients with IMV. This has important implications for healthcare policymakers planning interventions for optimal ICU resource allocation.
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Affiliation(s)
- Hiroyuki Ohbe
- Department of Emergency and Critical Care Medicine, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan.
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan.
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan
| | - Hayato Yamana
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
- Data Science Center, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0498, Japan
| | - Tadahiro Goto
- TXP Medical Co., Ltd., 41-1 H1O Kanda 706, Kanda Higashimatsushita-Cho, Chiyoda-Ku, Tokyo, 101-0042, Japan
| | - Yusuke Sasabuchi
- Department of Real-World Evidence, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
| | - Daisuke Kudo
- Department of Emergency and Critical Care Medicine, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Hiroki Matsui
- Department of Health Services Research, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
| | - Shigeki Kushimoto
- Department of Emergency and Critical Care Medicine, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
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Harlan EA, Venkatesh S, Morrison J, Cooke CR, Iwashyna TJ, Ford DW, Moscovice IS, Sjoding MW, Valley TS. Rural-Urban Differences in Mortality among Mechanically Ventilated Patients in Intensive and Intermediate Care. Ann Am Thorac Soc 2024; 21:774-781. [PMID: 38294224 PMCID: PMC11109907 DOI: 10.1513/annalsats.202308-684oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/19/2024] [Indexed: 02/01/2024] Open
Abstract
Rationale: Intermediate care (also termed "step-down" or "moderate care") has been proposed as a lower cost alternative to care for patients who may not clearly benefit from intensive care unit admission. Intermediate care units may be appealing to hospitals in financial crisis, including those in rural areas. Outcomes of patients receiving intermediate care are not widely described. Objectives: To examine relationships among rurality, location of care, and mortality for mechanically ventilated patients. Methods: Medicare beneficiaries aged 65 years and older who received invasive mechanical ventilation between 2010 and 2019 were included. Multivariable logistic regression was used to estimate the association between admission to a rural or an urban hospital and 30-day mortality, with separate analyses for patients in general, intermediate, and intensive care. Models were adjusted for age, sex, area deprivation index, primary diagnosis, severity of illness, year, comorbidities, and hospital volume. Results: There were 2,752,492 hospitalizations for patients receiving mechanical ventilation from 2010 to 2019, and 193,745 patients (7.0%) were in rural hospitals. The proportion of patients in rural intermediate care increased from 4.1% in 2010 to 6.3% in 2019. Patient admissions to urban hospitals remained relatively stable. Patients in rural and urban intensive care units had similar adjusted 30-day mortality, at 46.7% (adjusted absolute risk difference -0.1% [95% confidence interval, -0.7% to 0.6%]; P = 0.88). However, adjusted 30-day mortality for patients in rural intermediate care was significantly higher (36.9%) than for patients in urban intermediate care (31.3%) (adjusted absolute risk difference 5.6% [95% confidence interval, 3.7% to 7.6%]; P < 0.001). Conclusions: Hospitalization in rural intermediate care was associated with increased mortality. There is a need to better understand how intermediate care is used across hospitals and to carefully evaluate the types of patients admitted to intermediate care units.
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Affiliation(s)
- Emily A. Harlan
- Division of Pulmonary and Critical Care, Department of Medicine
- Center for Bioethics and Social Sciences in Medicine, Medical School
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan
- VA Ann Arbor Healthcare System, U.S. Department of Veterans Affairs, Ann Arbor, Michigan
| | | | - Jean Morrison
- Department of Biostatistics and Center for Statistical Genetics, School of Public Health, and
| | - Colin R. Cooke
- Division of Pulmonary and Critical Care, Department of Medicine
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan
| | - Theodore J. Iwashyna
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Dee W. Ford
- Department of Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Ira S. Moscovice
- University of Minnesota Rural Health Research Center, Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, Minnesota; and
| | | | - Thomas S. Valley
- Division of Pulmonary and Critical Care, Department of Medicine
- Center for Bioethics and Social Sciences in Medicine, Medical School
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan
- VA Ann Arbor Healthcare System, U.S. Department of Veterans Affairs, Ann Arbor, Michigan
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Phua J, Kulkarni AP, Mizota T, Hashemian SMR, Lee WY, Permpikul C, Chittawatanarat K, Nitikaroon P, Arabi YM, Fang WF, Konkayev A, Hashmi M, Palo JE, Faruq MO, Shrestha BR, KC B, Mat Nor MBB, Sann KK, Ling L, Haniffa R, Al Bahrani M, Mendsaikhan N, Chan YH. Critical care bed capacity in Asian countries and regions before and during the COVID-19 pandemic: an observational study. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 44:100982. [PMID: 38143717 PMCID: PMC10733690 DOI: 10.1016/j.lanwpc.2023.100982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 11/08/2023] [Accepted: 11/22/2023] [Indexed: 12/26/2023]
Abstract
Background The coronavirus disease 2019 (COVID-19) pandemic highlighted the importance of critical care. The aim of the current study was to compare the number of adult critical care beds in relation to population size in Asian countries and regions before (2017) and during (2022) the pandemic. Methods This observational study collected data closest to 2022 on critical care beds (intensive care units and intermediate care units) in 12 middle-income and 7 high-income economies (using the 2022-2023 World Bank classification), through a mix of methods including government sources, national critical care societies, personal contacts, and data extrapolation. Data were compared with a prior study from 2017 of the same countries and regions. Findings The cumulative number of critical care beds per 100,000 population increased from 3.0 in 2017 to 9.4 in 2022 (p = 0.003). The median figure for middle-income economies increased from 2.6 (interquartile range [IQR] 1.7-7.8) to 6.6 (IQR 2.2-13.3), and that for high-income economies increased from 11.4 (IQR 7.3-22.8) to 13.9 (IQR 10.7-21.7). Only 3 countries did not see a rise in bed capacity. Where data were available in 2022, 10.9% of critical care beds were in single rooms (median 5.0% in middle-income and 20.3% in high-income economies), and 5.3% had negative pressure (median 0.7% in middle-income and 18.5% in high-income economies). Interpretation Critical care bed capacity in the studied Asian countries and regions increased close to three-fold from 2017 to 2022. Much of this increase was attributed to middle-income economies, but substantial heterogeneity exists. Funding None.
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Affiliation(s)
- Jason Phua
- Fast and Chronic Programmes, Alexandra Hospital, National University Health System, Singapore
- Division of Respiratory and Critical Care Medicine, National University Hospital, National University Health System, Singapore
| | - Atul Prabhakar Kulkarni
- Division of Critical Care Medicine, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Toshiyuki Mizota
- Department of Anesthesia, Kyoto University Hospital, Kyoto, Japan
| | - Seyed Mohammad Reza Hashemian
- Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Won-Yeon Lee
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Chairat Permpikul
- Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Kaweesak Chittawatanarat
- Faculty of Medicine, Department of Surgery, Maharaj Nakorn Chiang Mai Hospital, Chiang Mai University, Chiang Mai, Thailand
| | - Phongsak Nitikaroon
- Health Administration Division, Ministry of Public Health, Nonthaburi, Thailand
| | - Yaseen M. Arabi
- King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Ministry of National Guard-Health Affairs, Riyadh, Kingdom of Saudi Arabia
| | - Wen-Feng Fang
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
- Department of Respiratory Care, Chang Gung University of Science and Technology, Chiayi, Taiwan
| | - Aidos Konkayev
- Anaesthesiology and Intensive Care Department, Astana Medical University, Nur-Sultan, Kazakhstan
- National Science Center of Traumatology and Orthopedia Named Batpenov, Nur-Sultan, Kazakhstan
| | - Madiha Hashmi
- Department of Critical Care Medicine, Ziauddin University, Karachi, Pakistan
| | - Jose Emmanuel Palo
- Acute and Critical Care Institute, The Medical City, Pasig City, Philippines
| | - Mohammad Omar Faruq
- General Intensive Care Unit and Emergency Department, United Hospital Ltd, Dhaka, Bangladesh
| | - Babu Raja Shrestha
- Department of Anesthesia and Intensive Care, Kathmandu Medical College and Teaching Hospital, Kathmandu, Nepal
| | - Bijay KC
- Department of Anesthesia and Intensive Care, Kathmandu Medical College and Teaching Hospital, Kathmandu, Nepal
| | | | - Kyi Kyi Sann
- Department of Anaesthesiology and Intensive Care Unit, Yangon General Hospital, University of Medicine 1, Yangon, Myanmar
| | - Lowell Ling
- Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Rashan Haniffa
- Network for Improving Critical Care Systems and Training, Colombo, Sri Lanka
- Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
- Centre for Inflammation Research, University of Edinburgh, Edinburgh, Scotland
| | - Maher Al Bahrani
- Department of Anesthesia and Critical Care, Royal Hospital, Muscat, Oman
| | - Naranpurev Mendsaikhan
- Mongolia-Japan Hospital, Mongolian National University Medical Sciences, Ulaanbaatar, Mongolia
| | - Yiong Huak Chan
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University Health System, Singapore
| | - Asian Critical Care Clinical Trials (ACCCT) Group
- Fast and Chronic Programmes, Alexandra Hospital, National University Health System, Singapore
- Division of Respiratory and Critical Care Medicine, National University Hospital, National University Health System, Singapore
- Division of Critical Care Medicine, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
- Department of Anesthesia, Kyoto University Hospital, Kyoto, Japan
- Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
- Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Faculty of Medicine, Department of Surgery, Maharaj Nakorn Chiang Mai Hospital, Chiang Mai University, Chiang Mai, Thailand
- Health Administration Division, Ministry of Public Health, Nonthaburi, Thailand
- King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Ministry of National Guard-Health Affairs, Riyadh, Kingdom of Saudi Arabia
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
- Department of Respiratory Care, Chang Gung University of Science and Technology, Chiayi, Taiwan
- Anaesthesiology and Intensive Care Department, Astana Medical University, Nur-Sultan, Kazakhstan
- National Science Center of Traumatology and Orthopedia Named Batpenov, Nur-Sultan, Kazakhstan
- Department of Critical Care Medicine, Ziauddin University, Karachi, Pakistan
- Acute and Critical Care Institute, The Medical City, Pasig City, Philippines
- General Intensive Care Unit and Emergency Department, United Hospital Ltd, Dhaka, Bangladesh
- Department of Anesthesia and Intensive Care, Kathmandu Medical College and Teaching Hospital, Kathmandu, Nepal
- International Islamic University Malaysia Medical Centre, Kuantan, Malaysia
- Department of Anaesthesiology and Intensive Care Unit, Yangon General Hospital, University of Medicine 1, Yangon, Myanmar
- Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong SAR, China
- Network for Improving Critical Care Systems and Training, Colombo, Sri Lanka
- Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand
- Centre for Inflammation Research, University of Edinburgh, Edinburgh, Scotland
- Department of Anesthesia and Critical Care, Royal Hospital, Muscat, Oman
- Mongolia-Japan Hospital, Mongolian National University Medical Sciences, Ulaanbaatar, Mongolia
- Biostatistics Unit, Yong Loo Lin School of Medicine, National University Health System, Singapore
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Ohbe H, Hashimoto S, Ogura T, Nishikimi M, Kudo D, Shime N, Kushimoto S. Association between regional critical care capacity and the incidence of invasive mechanical ventilation for coronavirus disease 2019: a population-based cohort study. J Intensive Care 2024; 12:6. [PMID: 38287432 PMCID: PMC10826037 DOI: 10.1186/s40560-024-00718-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 01/18/2024] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) has exposed critical care supply shortages worldwide. This study aimed to investigate the association between regional critical care capacity and the incidence of invasive mechanical ventilation following novel COVID-19 during the pandemic in Japan, a country with a limited intensive care unit (ICU) bed capacity of a median of 5.1 ICU beds per 100,000 individuals. METHODS This population-based cohort study used data from the CRoss Icu Searchable Information System database and publicly available databases provided by the Japanese government and Japanese Society of Intensive Care Medicine. We identified patients recently diagnosed with COVID-19, those who received invasive mechanical ventilation, and those who received extracorporeal membrane oxygenation (ECMO) between February 2020 and March 2023. We analyzed the association between regional critical care capacity (ICU beds, high-dependency care unit (HDU) beds, resource-rich ICU beds, and intensivists) and the incidence of invasive mechanical ventilation, ECMO, and risk-adjusted mortality across 47 Japanese prefectures. RESULTS Among the approximately 127 million individuals residing in Japan, 33,189,809 were recently diagnosed with COVID-19, with 12,203 and 1,426 COVID-19 patients on invasive mechanical ventilation and ECMO, respectively, during the study period. Prefecture-level linear regression analysis revealed that the addition of ICU beds, resource-rich ICU beds, and intensivists per 100,000 individuals increased the incidence of IMV by 5.37 (95% confidence interval, 1.99-8.76), 7.27 (1.61-12.9), and 13.12 (3.48-22.76), respectively. However, the number of HDU beds per 100,000 individuals was not statistically significantly associated with the incidence of invasive mechanical ventilation. None of the four indicators of regional critical care capacity was statistically significantly associated with the incidence of ECMO and risk-adjusted mortality. CONCLUSIONS The results of prefecture-level analyses demonstrate that increased numbers of ICU beds, resource-rich ICU beds, and intensivists are associated with the incidence of invasive mechanical ventilation among patients recently diagnosed with COVID-19 during the pandemic. These findings have important implications for healthcare policymakers, aiding in efficiently allocating critical care resources during crises, particularly in regions with limited ICU bed capacities. Registry and the registration no. of the study/trial The approval date of the registry was August 20, 2020, and the registration no. of the study was lUMIN000041450.
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Affiliation(s)
- Hiroyuki Ohbe
- Department of Emergency and Critical Care Medicine, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-0033, Japan
| | - Satoru Hashimoto
- Non-Profit Organization ICU Collaboration Network (ICON), Tokyo, Japan
| | - Takayuki Ogura
- Tochigi Prefectural Emergency and Critical Care Centre, Imperil Gift Foundation SAISEIKAI, Utsunomiya Hospital, 911-1 Takebayashi-Machi, Utsunomiya, 321-0974, Japan
| | - Mitsuaki Nishikimi
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan
| | - Daisuke Kudo
- Department of Emergency and Critical Care Medicine, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical & Health Sciences, Hiroshima University, 1-2-3 Kasumi, Minami-Ku, Hiroshima, 734-8551, Japan
| | - Shigeki Kushimoto
- Department of Emergency and Critical Care Medicine, Tohoku University Hospital, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, 980-8574, Japan.
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, 2-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8575, Japan.
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Ohbe H, Sasabuchi Y, Doi K, Matsui H, Yasunaga H. Association Between Levels of Intensive Care and In-Hospital Mortality in Patients Hospitalized for Sepsis Stratified by Sequential Organ Failure Assessment Scores. Crit Care Med 2023; 51:1138-1147. [PMID: 37114933 DOI: 10.1097/ccm.0000000000005886] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
OBJECTIVES To assess the association between levels of intensive care and in-hospital mortality in patients hospitalized for sepsis, stratified by Sequential Organ Failure Assessment (SOFA) score at admission. DESIGN A nationwide, propensity score-matched, retrospective cohort study. SETTING A Japanese national inpatient database with data on 70-75% of all ICU and high-dependency care unit (HDU) beds in Japan. PATIENTS Adult patients hospitalized for sepsis with SOFA scores greater than or equal to 2 on their day of admission between April 1, 2018, and March 31, 2021, were recruited. Propensity score matching was performed to compare in-hospital mortality, and patients were stratified into 10 groups according to SOFA scores. INTERVENTIONS Two exposure and control groups according to treatment unit on day of admission: 1) ICU + HDU versus general ward and 2) ICU versus HDU. MEASUREMENTS AND MAIN RESULTS Of 97,070 patients, 19,770 (20.4%), 23,066 (23.8%), and 54,234 (55.9%) were treated in ICU, HDU, and general ward, respectively. After propensity score matching, the ICU + HDU group had significantly lower in-hospital mortality than the general ward group, among cohorts with SOFA scores greater than or equal to 6. There were no significant differences in in-hospital mortality among cohorts with SOFA scores 3-5. The ICU + HDU group had significantly higher in-hospital mortality than the general ward among cohorts with SOFA scores of 2. The ICU group had lower in-hospital mortality than the HDU group among cohorts with SOFA scores greater than or equal to 12. There were no significant differences in in-hospital mortality among cohorts with SOFA scores 5-11. The ICU group had significantly higher in-hospital mortality than the general ward group among cohorts with SOFA scores less than or equal to 4. CONCLUSIONS Patients hospitalized for sepsis with SOFA scores greater than or equal to 6 in the ICU or HDU had lower in-hospital mortality than those in the general ward, as did those with SOFA scores greater than or equal to 12 in the ICU versus HDU.
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Affiliation(s)
- Hiroyuki Ohbe
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Yusuke Sasabuchi
- Data Science Center, Jichi Medical University, Shimotsuke-shi, Tochigi-ken, Japan
| | - Kent Doi
- Department of Emergency and Critical Care Medicine, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan
| | - Hiroki Matsui
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
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Ohbe H, Sasabuchi Y, Matsui H, Yasunaga H. Impact of the COVID-19 pandemic on critical care utilization in Japan: a nationwide inpatient database study. J Intensive Care 2022; 10:51. [PMID: 36461111 PMCID: PMC9716532 DOI: 10.1186/s40560-022-00645-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/18/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic has disrupted critical care services worldwide. Examining how critical care systems responded to the COVID-19 pandemic on a national level will be useful in setting future critical care plans. The present study aimed to describe the utilization of critical care services before and during the COVID-19 pandemic using a nationwide Japanese inpatient administrative database. METHODS All patients admitted to an intensive care unit (ICU) or a high-dependency care unit (HDU) from February 9, 2019, to February 8, 2021, in the Japanese Diagnosis Procedure Combination inpatient database were included. February 9, 2020, was used as the breakpoint separating the periods before and during COVID-19 pandemic. Hospital and patient characteristics were compared before and during the COVID-19 pandemic. Change in ICU and HDU bed occupancy before and during the COVID-19 pandemic was evaluated using interrupted time-series analysis. RESULTS The number of ICU patients before and during the COVID-19 pandemic was 297,679 and 277,799, respectively, and the number of HDU patients was 408,005 and 384,647, respectively. In the participating hospitals (383 ICU-equipped hospitals and 460 HDU-equipped hospitals), the number of hospitals which increased the ICU and HDU beds capacity were 14 (3.7%) and 33 (7.2%), respectively. Patient characteristics and outcomes in ICU and HDU were similar before and during the COVID-19 pandemic except main etiology for admission of COVID-19. The mean ICU bed occupancy before and during the COVID-19 pandemic was 51.5% and 47.5%, respectively. The interrupted time-series analysis showed a downward level change in ICU bed occupancy during the COVID-19 pandemic (- 4.29%, 95% confidence intervals - 5.69 to - 2.88%), and HDU bed occupancy showed similar trends. Of 383 hospitals with ICUs, 232 (60.6%) treated COVID-19 patients in their ICUs. Their annual hospital case volume of COVID-19 ICU patients varied greatly, with a median of 10 (interquartile range 3-25, min 1, max 444). CONCLUSIONS The ICU and HDU bed capacity did not increase while their bed occupancy decreased during the COVID-19 pandemic in Japan. There was no change in clinicians' decision-making to forego ICU/HDU care for selected patients, and there was no progress in the centralization of critically ill COVID-19 patients.
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Affiliation(s)
- Hiroyuki Ohbe
- grid.26999.3d0000 0001 2151 536XDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan
| | - Yusuke Sasabuchi
- grid.410804.90000000123090000Data Science Center, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke-shi, Tochigi-ken 329-0498 Japan
| | - Hiroki Matsui
- grid.26999.3d0000 0001 2151 536XDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan
| | - Hideo Yasunaga
- grid.26999.3d0000 0001 2151 536XDepartment of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033 Japan
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Ceccato1,2,3 A, M Luna4 C, Artigas1,2,5 A. The COVID-19 challenge. What have we learned? J Bras Pneumol 2022; 48:e20220361. [DOI: 10.36416/1806-3756/e20220361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Adrian Ceccato1,2,3
- 1. Critical Care Center, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí I3PT, Sabadell, Spain. 2. CIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain. 3. Intensive Care Unit, Hospital Universitari Sagrat Cor, Grupo Quironsalud, Barcelona, Spain
| | - Carlos M Luna4
- 4. Facultad de Medicina, Hospital de Clínicas, Universidad de Buenos Aires, Buenos Aires, Argentina
| | - Antonio Artigas1,2,5
- 1. Critical Care Center, Parc Taulí Hospital Universitari, Institut d’Investigació i Innovació Parc Taulí I3PT, Sabadell, Spain. 2. CIBER of Respiratory Diseases (CIBERES), Institute of Health Carlos III, Madrid, Spain. 5. Bioscience and Medicine Faculty, Universitat Autònoma de Barcelona, Bellaterra, Spain
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