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Yumoto T, Obara T, Hongo T, Nojima T, Tsukahara K, Hisamura M, Nakao A, Yorifuji T, Naito H. Association of emergency intensive care unit occupancy due to brain-dead organ donors with ambulance diversion. Sci Rep 2025; 15:12633. [PMID: 40221631 PMCID: PMC11993566 DOI: 10.1038/s41598-025-97198-7] [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: 05/07/2024] [Accepted: 04/02/2025] [Indexed: 04/14/2025] Open
Abstract
Our study aims to explore how intensive care unit (ICU) occupancy by brain-dead organ donors affects emergency ambulance diversions. In this retrospective, single-center study at an emergency ICU (EICU), brain-dead organ donors were managed until organ procurement. We classified each day between August 1, 2021, and July 31, 2023, as either an exposure day (any day with a brain-dead organ donor in the EICU from admission to organ procurement) or a control day (all other days). The study compared these days and used multiple logistic regression analysis to assess the impact of EICU occupancy by brain-dead organ donors on ambulance diversions. Over two years, 6,058 emergency patients were transported by ambulance, with 1327 admitted to the EICU, including 13 brain-dead organ donors. Brain-dead donors had longer EICU stays (17 vs. 2 days, P < 0.001). With 168 exposure and 562 control days, EICU occupancy was higher on exposure days (75% vs. 67%, P = 0.003), leading to more ambulance diversions. Logistic regression showed exposure days significantly increased ambulance diversions, with an odds ratio of 1.79 (95% CIs 1.10-2.88). This study shows that managing brain-dead organ donors in the EICU leads to longer stays and higher occupancy, resulting in more frequent ambulance diversions. These findings highlight the critical need for policies that optimize ICU resource allocation while maintaining the infrastructure necessary to support organ donation programs and ensuring continued care for brain-dead donors, who play an essential role in addressing the organ shortage crisis.
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Affiliation(s)
- Tetsuya Yumoto
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
| | - Takafumi Obara
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Takashi Hongo
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Tsuyoshi Nojima
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Kohei Tsukahara
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Masaki Hisamura
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Atsunori Nakao
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Takashi Yorifuji
- Department of Epidemiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
| | - Hiromichi Naito
- Department of Emergency, Critical Care, and Disaster Medicine, Faculty of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan
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Omoto M, Aoki Y, Nakajima M, Kurita T, Kaszynski RH, Kato H, Mimuro S, Igarashi H, Nakajima Y. Epidemiological Investigation of Unplanned Intensive Care Unit Admissions From the Operating Room After Elective Surgery: A Nationwide Observational Study in Japan. Anesth Analg 2025:00000539-990000000-01148. [PMID: 39908195 DOI: 10.1213/ane.0000000000007409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2025]
Abstract
BACKGROUND Over 75% of surgeries worldwide are elective and unplanned ICU admissions after these surgeries pose a major-albeit rare-challenge. However, few epidemiological studies have focused on patients requiring unplanned ICU admission directly from the operating room after elective surgeries are lacking. This study uses the Japanese Intensive Care Patient Database (JIPAD) to describe unplanned ICU admissions after elective surgeries. METHODS We conducted a multicenter retrospective cohort study using data from the JIPAD from April 2015 to March 2022, focusing on patients with unplanned ICU admissions after elective surgery. Collected variables included patient characteristics, treatments, outcomes, reasons for ICU admission, and type of surgery. We categorized the reasons for ICU admission into 9 types: anaphylaxis, hemorrhage, anesthesia-related complications, respiratory-related complications, cardiovascular-related complications, neurological-related complications, surgical-related complications, electrolyte/acid-base abnormalities, and unknown causes. The type of surgery was classified using JIPAD definitions. RESULTS Among 141,969 patients in the JIPAD who underwent elective surgery, 2666 patients (1.9%) required an unplanned ICU admission. Cardiac arrest before ICU admission occurred in 52 patients (2.0%), the median APACHE III score was 51, and 1218 patients (45.7%) required postoperative mechanical ventilation. The median hospital stay for patients with unplanned ICU admission was 21 days and in-hospital mortality was 3.3% (88/2666). The most common reason for ICU admission was respiratory complications (n = 440, 16.5%), followed by hemorrhage (n = 377, 14.1%). Cardiovascular-related complications had the highest in-hospital mortality at 6.8% (20/294). Hospital mortality exceeded ICU mortality, suggesting that patients expected to derive limited benefit from intensive care may have been transitioned out of the ICU to accommodate other patients with greater need. The most frequent surgeries requiring unplanned ICU admission were for gastrointestinal neoplasms (n = 464, 17.4%), followed by orthopedic surgeries (n = 303, 11.4%). Anaphylaxis occurred across a broad spectrum of surgeries. Respiratory-related complications were common in patients with other respiratory diseases and accounted for over half of the total number of cases according to surgery type. Neurological-related complications were most frequent in craniotomies for neoplasms. CONCLUSIONS In our review of a nationwide ICU database from 2015 to 2022 we identified a 1.9% rate of unplanned ICU admission and found that mortality varied according to the reasons for ICU admission. Respiratory-related complications were most common, and cardiovascular complications were most associated with in-hospital mortality. Further research may help us to better understand the epidemiology of unplanned ICU admission after surgery.
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Affiliation(s)
- Miki Omoto
- From the Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Yoshitaka Aoki
- From the Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Mikio Nakajima
- Emergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Tokyo, Japan
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Tadayoshi Kurita
- From the Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Richard H Kaszynski
- Emergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Tokyo, Japan
| | - Hiromi Kato
- From the Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Soichiro Mimuro
- From the Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Hiroshi Igarashi
- From the Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Yoshiki Nakajima
- From the Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan
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Matsuo Y, Miyawaki A, Watanabe H, Matsui H, Fushimi K, Yasunaga H. Potassium Iodide Use and Patient Outcomes for Thyroid Storm: An Observational Study. J Clin Endocrinol Metab 2025; 110:e310-e320. [PMID: 38546426 DOI: 10.1210/clinem/dgae187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Indexed: 01/22/2025]
Abstract
CONTEXT Iodine, combined with antithyroid drugs, is recommended as an initial pharmacologic treatment for thyroid storm according to some clinical guidelines. However, the clinical efficacy of iodine in managing thyroid storm remains unexplored. OBJECTIVE This study aimed to determine whether early potassium iodide (KI) use is associated with mortality in patients hospitalized for thyroid storm. METHODS Using the Japanese Diagnosis Procedure Combination database, we identified patients hospitalized with thyroid storm between July 2010 and March 2022. We compared in-hospital mortality, length of stay, and total hospitalization costs between patients who received KI within 2 days of admission (KI group) vs those who did not (non-KI group). Prespecified subgroup analyses were performed based on the presence of the diagnosis of Graves' disease. RESULTS Among 3188 eligible patients, 2350 received KI within 2 days of admission. The crude in-hospital mortality was 6.1% (143/2350) in the KI group and 7.8% (65/838) in the non-KI group. After adjusting for potential confounders, KI use was not significantly associated with in-hospital mortality (odds ratio [OR] for KI use, 0.91; 95% CI, 0.62-1.34). In patients with the diagnosis of Graves' disease, in-hospital mortality was lower in the KI group than in the non-KI group (OR, 0.46; 95% CI, 0.25-0.88). No significant difference in in-hospital mortality was observed in patients without the diagnosis of Graves' disease (OR, 1.11; 95% CI, 0.67-1.85). Length of stay was shorter (subdistribution hazard ratio, 1.15; 95% CI, 1.05-1.27), and total hospitalization costs were lower (OR, 0.92; 95% CI, 0.85-1.00) in the KI group compared with the non-KI group. CONCLUSION Our findings suggest that KI may reduce in-hospital mortality among patients hospitalized for thyroid storm with Graves' disease.
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Affiliation(s)
- Yuichiro Matsuo
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Atsushi Miyawaki
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, 113-8655, Japan
- Department of Health Services Research, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Hideaki Watanabe
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Hiroki Matsui
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, 113-8655, Japan
| | - Kiyohide Fushimi
- Department of Health Policy and Informatics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, 113-8510, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, 113-8655, Japan
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Matsuo Y, Jo T, Watanabe H, Matsui H, Fushimi K, Yasunaga H. Clinical Efficacy of Beta-1 Selective Beta-Blockers Versus Propranolol in Patients With Thyroid Storm: A Retrospective Cohort Study. Crit Care Med 2024; 52:1077-1086. [PMID: 38551468 DOI: 10.1097/ccm.0000000000006285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2024]
Abstract
OBJECTIVES Thyroid storm is the most severe manifestation of thyrotoxicosis. Beta-blockers are among the standard treatment regimens for this condition, with propranolol being the historically preferred option. However, 2016 guidelines issued by the Japan Thyroid Association and the Japan Endocrine Society recommend the use of beta-1 selective beta-blockers over nonselective beta-blockers, such as propranolol. Nevertheless, evidence supporting this recommendation is limited. Herein, we aimed to investigate the in-hospital mortality of patients with thyroid storms based on the choice of beta-blockers. DESIGN Retrospective cohort study. SETTING The Diagnosis Procedure Combination database, a national inpatient database in Japan. PATIENTS Patients hospitalized with thyroid storm between April 2010 and March 2022. INTERVENTIONS Propensity-score overlap weighting was performed to compare in-hospital mortality between patients who received beta-1 selective beta-blockers and those who received propranolol. Subgroup analysis was also conducted, considering the presence or absence of acute heart failure. MEASUREMENTS AND MAIN RESULTS Among the 2462 eligible patients, 1452 received beta-1 selective beta-blockers and 1010 received propranolol. The crude in-hospital mortality rates were 9.3% for the beta-1 selective beta-blocker group and 6.2% for the propranolol group. After adjusting for baseline variables, the use of beta-1 selective beta-blockers was not associated with lower in-hospital mortality (6.3% vs. 7.4%; odds ratio, 0.85; 95% CI, 0.57-1.26). Furthermore, no significant difference in in-hospital mortality was observed in patients with acute heart failure. CONCLUSIONS In patients with thyroid storm, the choice between beta-1 selective beta-blockers and propranolol did not affect in-hospital mortality, regardless of the presence of acute heart failure. Therefore, both beta-1 selective beta-blockers and propranolol can be regarded as viable treatment options for beta-blocker therapy in cases of thyroid storm, contingent upon the clinical context.
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Affiliation(s)
- Yuichiro Matsuo
- Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan
| | - Taisuke Jo
- Department of Health Services Research, University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan
| | - Hideaki Watanabe
- Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan
| | - Hiroki Matsui
- Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan
| | - Kiyohide Fushimi
- Department of Health Policy and Informatics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Yushima, Bunkyo-ku, Tokyo, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, University of Tokyo, Hongo, Bunkyo-ku, Tokyo, 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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Murata K, Shimoyama K, Tsuruya T. Investigating the risk of reintubation by cough force assessment using cough peak expiratory flow: a single-center observational pilot study. BMC Pulm Med 2024; 24:222. [PMID: 38714988 PMCID: PMC11075268 DOI: 10.1186/s12890-024-02914-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 02/19/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND No objective indicator exists for evaluating cough strength during extubation of tracheally intubated patients. This study aimed to determine whether cough peak expiratory flow (CPEF) can predict the risk of reintubation due to decreased cough strength. METHODS This was a retrospective cohort study of patients who were admitted to our Emergency Intensive Care Unit between September 1, 2020 and August 31, 2021 and were under artificial ventilation management for ≥ 24 h. The patients were divided into two groups: successful extubation and reintubation groups, and the relationship between CPEF immediately before extubation and reintubation was investigated. RESULTS Seventy-six patients were analyzed. In the univariate analysis, CPEF was significantly different between the successful extubation (90.7 ± 25.9 L/min) and reintubation (57.2 ± 6.4 L/min) groups (p < 0.001). In the multivariate analysis with age and duration of artificial ventilation as covariates, CPEF was significantly lower in the reintubation group (p < 0.01). The cutoff value of CPEF for reintubation according to the receiver operating characteristic curve was 60 L/min (area under the curve, 0.897; sensitivity, 78.5%; specificity, 90.9%; p < 0.01). CONCLUSION CPEF in tracheally intubated patients may be a useful indicator for predicting the risk of reintubation associated with decreased cough strength. The cutoff CPEF value for reintubation due to decreased cough strength was 60 L/min.
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Affiliation(s)
- Kenya Murata
- Department of Nursing, Tokyo Medical University Hospital, Tokyo, Japan.
| | - Keiichiro Shimoyama
- Department of Emergency and Critical Care Medicine, Tokyo Medical University Hospital, Tokyo, Japan
| | - Takeshi Tsuruya
- Department of Nursing, Tokyo Medical University Hospital, Tokyo, Japan
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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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Tagami T. Chronicles of change for the future: The imperative of continued data collection in French ICUs. Anaesth Crit Care Pain Med 2023; 42:101294. [PMID: 37573947 DOI: 10.1016/j.accpm.2023.101294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 08/09/2023] [Indexed: 08/15/2023]
Affiliation(s)
- Takashi Tagami
- Department of Emergency and Critical Care Medicine, Nippon Medical School Musashikosugi Hospital, 1-396 Kosugimachi, Nakahara-ku, Kawasaki, Kanagawa 211-8533, 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: 1.5] [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, Jo T, Michihata N, Matsui H, Yasunaga H. Kampo medicine in ICUs in Japan between 2010 and 2020. J Anesth 2023:10.1007/s00540-023-03190-8. [PMID: 37029302 DOI: 10.1007/s00540-023-03190-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 03/30/2023] [Indexed: 04/09/2023]
Affiliation(s)
- Hiroyuki Ohbe
- 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.
| | - Yusuke Sasabuchi
- Department of Read World Evidence, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Taisuke Jo
- Department of Health Services Research, The University of Tokyo Graduate School of Medicine, Tokyo, Japan
| | - Nobuaki Michihata
- Department of Health Services Research, The University of Tokyo Graduate School of Medicine, Tokyo, Japan
| | - Hiroki Matsui
- 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
| | - 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
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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: 3] [Impact Index Per Article: 1.0] [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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Nishimoto Y, Ohbe H, Matsui H, Nakajima M, Sasabuchi Y, Goto T, Morita K, Fushimi K, Sato Y, Yasunaga H. Predictive ability of the sequential organ failure assessment score for in-hospital mortality in patients with cardiac critical illnesses: a nationwide observational study. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2022; 11:312-321. [PMID: 35156119 DOI: 10.1093/ehjacc/zuac011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 01/10/2022] [Accepted: 01/25/2022] [Indexed: 06/14/2023]
Abstract
AIMS Several studies have reported a high predictive ability of the Sequential Organ Failure Assessment (SOFA) score for in-hospital mortality specifically for patients with cardiac critical illnesses, however, differences according to the admission classification (surgical or non-surgical) are unknown. The present study aimed to evaluate the predictive ability of the SOFA score in surgical and non-surgical patients with cardiac critical illnesses. METHODS AND RESULTS Using the Japanese nationwide Diagnosis Procedure Combination database, we identified patients with cardiac critical illnesses, defined as patients admitted to the intensive care unit (ICU) and treated by cardiologists or cardiovascular surgeons as their physicians in charge from April 2018 to March 2020. The discriminatory ability of the SOFA score for in-hospital mortality was assessed by calculating the area under the receiver operating characteristic curve (AUROC). Among 52 819 eligible patients with available data on their SOFA scores, 33 526 (64%) were postoperative cardiac surgeries. The median SOFA score on ICU admission was 5.0 (interquartile range, 2.0-8.0) and overall in-hospital mortality 6.8%. The AUROC of the SOFA score was 0.75 [95% confidence interval (CI), 0.75-0.76]. In the subgroup analyses, the AUROCs were 0.76 (95% CI, 0.74-0.77) in the surgical patients, 0.83 (95% CI, 0.83-0.84) in the non-surgical patients, and 0.88 (95% CI, 0.87-0.89) in the non-surgical acute coronary syndrome patients. CONCLUSIONS The predictive ability of the SOFA score on the day of ICU admission for in-hospital mortality was confirmed to be acceptable in the patients with cardiac critical illnesses and varied according to the admission classification and primary diagnoses.
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Affiliation(s)
- Yuji Nishimoto
- Department of Cardiology, Hyogo Prefectural Amagasaki General Medical Center, 2-17-77 Higashinaniwa-cho, Amagasaki 6608550, Japan
| | - Hiroyuki Ohbe
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan
| | - Hiroki Matsui
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan
| | - Mikio Nakajima
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan
- Emergency Life-Saving Technique Academy of Tokyo, Foundation for Ambulance Service Development, 4-6 Minamiosawa, Hachioji-shi, Tokyo 1920364, Japan
| | - Yusuke Sasabuchi
- Data Science Center, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke, Tochigi 3290498, Japan
| | - Tadahiro Goto
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan
- TXP Medical Co. Ltd., 7-3-1-252 Hongo, Bunkyo-ku, Tokyo 1138454, Japan
| | - Kojiro Morita
- Global Nursing Research Center, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 1130033, Japan
| | - Kiyohide Fushimi
- Department of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School of Medicine, 1-5-45 Yushima, Bunkyo-ku, Tokyo 1138510, Japan
| | - Yukihito Sato
- Department of Cardiology, Hyogo Prefectural Amagasaki General Medical Center, 2-17-77 Higashinaniwa-cho, Amagasaki 6608550, 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 1130033, Japan
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ICU Versus High-Dependency Care Unit for Patients With Acute Myocardial Infarction: A Nationwide Propensity Score-Matched Cohort Study. Crit Care Med 2022; 50:977-985. [PMID: 35020671 DOI: 10.1097/ccm.0000000000005440] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
OBJECTIVES To compare the outcomes of patients with acute myocardial infarction who were treated in ICUs versus high-dependency care units (HDUs). DESIGN A nationwide, propensity score-matched, retrospective cohort study of a national administrative inpatient database in Japan from July 2010 to March 2018. SETTING Six hundred sixty-six acute-care hospitals with ICU and/or HDU beds covering about 75% of all ICU beds and 70% of all HDU beds in Japan. PATIENTS Adult patients who were hospitalized for acute myocardial infarction and admitted to the ICU or HDU on the day of hospital admission. Propensity score-matching analysis was performed to compare the inhospital mortality between patients treated in the ICU and HDU on the day of hospital admission. INTERVENTIONS ICU or HDU admission on the day of hospital admission. MEASUREMENTS AND MAIN RESULTS Of 135,142 eligible patients, 89,382 (66%) were admitted to the ICU and 45,760 (34%) were admitted to the HDU on the day of admission. After propensity score matching, there was no statistically significant difference in inhospital mortality between the ICU and HDU groups (5.0% vs 5.5%; difference, -0.5%; 95% CI, -1.0% to 0.1%). In the subgroup analyses, inhospital mortality was significantly lower in the ICU group than that in the HDU group among patients with Killip class IV (25.6% vs 28.4%; difference, -2.9%; 95% CI, -5.4% to -0.3%), patients who underwent intubation (40.0% vs 46.6%; difference, -6.6%; 95% CI, -10.6% to -2.7%), and patients who received mechanical circulatory support (21.8% vs 24.7%; difference, -2.8%; 95% CI, -5.5% to -0.2%). CONCLUSIONS Critical care in the ICU compared with that in the HDU was not associated with reduced inhospital mortality among the entire cohort of patients with acute myocardial infarction but was associated with reduced inhospital mortality among the subsets of patients with Killip class IV, intubation, or mechanical circulatory support.
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Development and validation of early prediction models for new-onset functional impairment at hospital discharge of ICU admission. Intensive Care Med 2022; 48:679-689. [PMID: 35362765 DOI: 10.1007/s00134-022-06688-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 03/21/2022] [Indexed: 01/04/2023]
Abstract
PURPOSE We aimed to develop and validate models for predicting new-onset functional impairment after intensive care unit (ICU) admission with predictors routinely collected within 2 days of admission. METHODS In this multi-center retrospective cohort study of acute care hospitals in Japan, we identified adult patients who were admitted to the ICU with independent activities of daily living before hospitalization and survived for at least 2 days from April 2014 to October 2020. The primary outcome was functional impairment defined as Barthel Index ≤ 60 at hospital discharge. In the internal validation dataset (April 2014 to March 2019), using routinely collected 94 candidate predictors within 2 days of ICU admission, we trained and tuned the six conventional and machine-learning models with repeated random sub-sampling cross-validation. We computed the variable importance of each predictor to the models. In the temporal validation dataset (April 2019 to October 2020), we measured the performance of these models. RESULTS We identified 19,846 eligible patients. Functional impairment at discharge was developed in 33% of patients (n = 6488/19,846). In the temporal validation dataset, all six models showed good discrimination ability with areas under the curve above 0.86, and the differences among the six models were negligible. Variable importance revealed newly detected early predictors, including worsened neurologic conditions and catabolism biomarkers such as decreased serum albumin and increased blood urea nitrogen. CONCLUSION We successfully developed early prediction models of new-onset functional impairment after ICU admission that achieved high performance using only data routinely collected within 2 days of ICU admission.
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Nakamura K, Ohbe H, Uda K, Matsui H, Yasunaga H. Effectiveness of early rehabilitation following aortic surgery: a nationwide inpatient database study. Gen Thorac Cardiovasc Surg 2022; 70:721-729. [PMID: 35182302 DOI: 10.1007/s11748-022-01786-7] [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: 12/14/2021] [Accepted: 02/03/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE Exercise immediately after aortic surgery is controversial with limited evidence. The present study aimed to assess whether early rehabilitation commencing within 3 days of aortic surgery improves physical functions at discharge more than usual care in patients after aortic surgery. METHODS We used the Japanese Diagnosis Procedure Combination database, a nationwide inpatient database from more than 1600 acute care hospitals that covers approximately 75% of all intensive care unit (ICU) beds in Japan. We identified patients who underwent open or endovascular aortic surgery and were admitted to the ICU between July 2010 and March 2018. Patients beginning rehabilitation within 3 days of aortic surgery were defined as the early rehabilitation group and the remaining patients as the usual care group. We used inverse probability of treatment weighting analyses to compare outcomes between the two groups. RESULTS Among 121,024 eligible patients, there were 44,746 (37.0%) in the early rehabilitation group and 76,278 (63.0%) in the usual care group. In inverse probability of treatment weighting analyses, Barthel index scores at discharge were significantly higher in the early rehabilitation group than in the usual care group (difference, 4.0; 95% confidence interval, 2.8-5.2). The early rehabilitation group had significantly lower in-hospital mortality, lower total hospitalization costs, shorter ICU stay, and shorter hospital stay than the usual care group. CONCLUSION Early rehabilitation within 3 days of aortic surgery was associated with improved physical functions at discharge, shorter ICU and hospital stays, and lower hospitalization costs without increased mortality.
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Affiliation(s)
- Kensuke Nakamura
- Department of Emergency and Critical Care Medicine, Hitachi General Hospital, 2-1-1, Jonantyo, Hitachi, Ibaraki, 317-0077, Japan
| | - Hiroyuki Ohbe
- 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.
| | - Kazuaki Uda
- 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
| | - Hiroki Matsui
- 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
| | - 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
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Ohbe H, Matsui H, Yasunaga H. Intensive care unit versus high-dependency care unit for patients with acute heart failure: a nationwide propensity score-matched cohort study. J Intensive Care 2021; 9:78. [PMID: 34930470 PMCID: PMC8686245 DOI: 10.1186/s40560-021-00592-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 12/10/2021] [Indexed: 12/28/2022] Open
Abstract
Background A structure and staffing model similar to that in general intensive care unit (ICUs) is applied to cardiac intensive care unit (CICUs) for patients with acute heart failure. However, there is limited evidence on the structure and staffing model of CICUs. The present study aimed to assess whether critical care for patients with acute heart failure in the ICUs is associated with improved outcomes than care in the high-dependency care units (HDUs), the hospital units in which patient care levels and costs are between the levels found in the ICU and general ward. Methods This nationwide, propensity score-matched, retrospective cohort study was performed using a national administrative inpatient database in Japan. We identified all patients who were hospitalized for acute heart failure and admitted to the ICU or HDU on the day of hospital admission from April 2014 to March 2019. Propensity score-matching analysis was performed to compare the in-hospital mortality between acute heart failure patients treated in the ICU and HDU on the day of hospital admission. Results Of 202,866 eligible patients, 78,646 (39%) and 124,220 (61%) were admitted to the ICU and HDU, respectively, on the day of admission. After propensity score matching, there was no statistically significant difference in in-hospital mortality between patients who were admitted to the ICU and HDU on the day of admission (10.7% vs. 11.4%; difference, − 0.6%; 95% confidence interval, − 1.5% to 0.2%). In the subgroup analyses, there was a statistically significant difference in in-hospital mortality between the ICU and HDU groups among patients receiving noninvasive ventilation (9.4% vs. 10.5%; difference, − 1.0%; 95% confidence interval, − 1.9% to − 0.1%) and patients receiving intubation (32.5% vs. 40.6%; difference, − 8.0%; 95% confidence interval, − 14.5% to − 1.5%). There were no statistically significant differences in other subgroup analyses. Conclusions Critical care in ICUs was not associated with lower in-hospital mortality than critical care in HDUs among patients with acute heart failure. However, critical care in ICUs was associated with lower in-hospital mortality than critical care in HDUs among patients receiving noninvasive ventilation and intubation. Supplementary Information The online version contains supplementary material available at 10.1186/s40560-021-00592-2.
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Affiliation(s)
- Hiroyuki Ohbe
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033, Japan.
| | - Hiroki Matsui
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033, 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, 1130033, Japan
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Cho NR, Jung WS, Park HY, Kang JM, Ko DS, Choi ST. Discrepancy between the Demand and Supply of Intensive Care Unit Beds in South Korea from 2011 to 2019: A Cross-Sectional Analysis. Yonsei Med J 2021; 62:1098-1106. [PMID: 34816640 PMCID: PMC8612860 DOI: 10.3349/ymj.2021.62.12.1098] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 08/18/2021] [Accepted: 09/27/2021] [Indexed: 11/27/2022] Open
Abstract
PURPOSE Intensive care unit (ICU) bed availability is key to critical patient care. In many countries, older patients generally account for a significant proportion of hospitalizations and ICU admissions. Therefore, considering the rapidly increasing aging population in South Korea, it is important to establish whether the demand for critical care is currently met by available ICU beds. MATERIALS AND METHODS We evaluated a 9-year trend in ICU bed supply and ICU length of stay in South Korea between 2011 and 2019 in a population-based cross-sectional analysis, using data from the Korean Health Insurance Review & Assessment Service and Statistics database. We described the changes in ICU bed rates in adult (≥20 years) and older adult (≥65 years) populations. ICU length of stay was categorized similarly and was used to predict future ICU bed demands. RESULTS The ICU bed rate per 100000 adults increased from 18.5 in 2011 to 19.5 in 2019. In contrast, the ICU bed rate per 100000 older adults decreased from 127.6 in 2011 to 104.0 in 2019. ICU length of stay increased by 43.8% for adults and 55.6% for older adults. In 2019, the regional differences in the ICU bed rate nearly doubled, and the ICU length of stay increased six-fold. The ICU bed occupancy rate in South Korea is expected to rise to 102.7% in 2030. CONCLUSION The discrepancy between the demand and supply of ICU beds in South Korea requires urgent action to anticipate future ICU demands.
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Affiliation(s)
- Noo Ree Cho
- Department of Anaesthesiology and Pain Medicine, Gachon University Gil Medical Center, Incheon, Korea
| | - Wol Seon Jung
- Department of Anaesthesiology and Pain Medicine, Gachon University Gil Medical Center, Incheon, Korea
| | - Hee Yeon Park
- Department of Anaesthesiology and Pain Medicine, Gachon University Gil Medical Center, Incheon, Korea
| | - Jin Mo Kang
- Division of Vascular Surgery, Department of Surgery, Gachon University Gil Medical Center, Incheon, Korea
| | - Dai Sik Ko
- Division of Vascular Surgery, Department of Surgery, Gachon University Gil Medical Center, Incheon, Korea.
| | - Sang Tae Choi
- Division of Vascular Surgery, Department of Surgery, Gachon University Gil Medical Center, Incheon, Korea.
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Imaeda T, Nakada TA, Takahashi N, Yamao Y, Nakagawa S, Ogura H, Shime N, Umemura Y, Matsushima A, Fushimi K. Trends in the incidence and outcome of sepsis using data from a Japanese nationwide medical claims database-the Japan Sepsis Alliance (JaSA) study group. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2021; 25:338. [PMID: 34530884 PMCID: PMC8444487 DOI: 10.1186/s13054-021-03762-8] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 09/07/2021] [Indexed: 12/29/2022]
Abstract
Background Trends in the incidence and outcomes of sepsis using a Japanese nationwide database were investigated. Methods This was a retrospective cohort study. Adult patients, who had both presumed serious infections and acute organ dysfunction, between 2010 and 2017 were extracted using a combined method of administrative and electronic health record data from the Japanese nationwide medical claim database, which covered 71.5% of all acute care hospitals in 2017. Presumed serious infection was defined using blood culture test records and antibiotic administration. Acute organ dysfunction was defined using records of diagnosis according to the international statistical classification of diseases and related health problems, 10th revision, and records of organ support. The primary outcomes were the annual incidence of sepsis and death in sepsis per 1000 inpatients. The secondary outcomes were in-hospital mortality rate and length of hospital stay in patients with sepsis. Results The analyzed dataset included 50,490,128 adult inpatients admitted between 2010 and 2017. Of these, 2,043,073 (4.0%) patients had sepsis. During the 8-year period, the annual proportion of patients with sepsis across inpatients significantly increased (slope = + 0.30%/year, P < 0.0001), accounting for 4.9% of the total inpatients in 2017. The annual death rate of sepsis per 1000 inpatients significantly increased (slope = + 1.8/1000 inpatients year, P = 0.0001), accounting for 7.8 deaths per 1000 inpatients in 2017. The in-hospital mortality rate and median (interquartile range) length of hospital stay significantly decreased (P < 0.001) over the study period and were 18.3% and 27 (15–50) days in 2017, respectively. Conclusions The Japanese nationwide data indicate that the annual incidence of sepsis and death in inpatients with sepsis significantly increased; however, the annual mortality rates and length of hospital stay in patients with sepsis significantly decreased. The increasing incidence of sepsis and death in sepsis appear to be a significant and ongoing issue. Supplementary Information The online version contains supplementary material available at 10.1186/s13054-021-03762-8.
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Affiliation(s)
- Taro Imaeda
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Taka-Aki Nakada
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan.
| | - Nozomi Takahashi
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Yasuo Yamao
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Satoshi Nakagawa
- National Center for Child Health and Development, Critical Care Medicine, Tokyo, Japan
| | - Hiroshi Ogura
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Yutaka Umemura
- Department of Traumatology and Acute Critical Medicine, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Asako Matsushima
- Department of Advancing Acute Medicine, Graduate School of Medical Sciences, Nagoya City University, Aichi, Japan
| | - Kiyohide Fushimi
- Department of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School of Medical and Dental Sciences, Tokyo, Japan
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