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Nam KH, Phua J, Du B, Ohshimo S, Kim HJ, Lim CM, Myatra SN, Adib NABN, Arabi YM, Chan MC, Faruq MO, Redjeki IS, Son DN, Nafees KMK, Priyankara D, Patjanasoontorn B, Palo JE, Konkayev A, Shrestha GS, Koh Y. Mechanical ventilation practices in Asian intensive care units: A multicenter cross-sectional study. J Crit Care 2024; 79:154452. [PMID: 37948944 DOI: 10.1016/j.jcrc.2023.154452] [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: 02/16/2023] [Revised: 07/24/2023] [Accepted: 10/15/2023] [Indexed: 11/12/2023]
Abstract
PURPOSE This study investigated current practices of mechanical ventilation in Asian intensive care units, focusing on tidal volume, plateau pressure, and positive end-expiratory pressure (PEEP). MATERIALS AND METHODS In this multicenter cross-sectional study, data on mechanical ventilation and clinical outcomes were collected. Predictors of mortality were analyzed by univariate and multivariable logistic regression. A scoring system was generated to predict 28-day mortality. RESULTS A total of 1408 patients were enrolled. In 138 patients with acute respiratory distress syndrome (ARDS), 65.9% were on a tidal volume ≤ 8 ml/kg predicted body weight (PBW), and 71.3% were on sufficient PEEP. In 1270 patients without ARDS, 88.8% were on a tidal volume ≤ 10 ml/kg PBW. A plateau pressure < 30 cmH2O was measured in 92.2% of patients. Mortality rates increased from 13% to 74% as the generated predictive score increased from 5 to ≥8.5. Income classification, age, SOFA score, PaO2/FiO2 ratio, plateau pressure, number of vasopressors, and steroid use were associated with mortality. CONCLUSIONS In Asia, low tidal volume ventilation and sufficient PEEP were underused in patients with ARDS. The majority of patients without ARDS were on intermediate tidal volumes. Country income, age, and severity of illness were associated with mortality.
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Affiliation(s)
- Kyung Hun Nam
- Department of Critical Care Medicine, Seongnam Citizens Medical Center, Seongnam, South Korea
| | - Jason Phua
- FAST and Chronic Programmes, Alexandra Hospital, National University Health System, Singapore; Division of Respiratory and Critical Care Medicine, Department of Medicine, National University Hospital, National University Health System, Singapore
| | - Bin Du
- State Key Laboratory of Complex, Severe, and Rare Diseases, Medical ICU, Peking Union Medical College Hospital, Beijing, China
| | - Shinichiro Ohshimo
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Hwa Jung Kim
- Department of Clinical Epidemiology and Biostatistics, ASAN Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Chae-Man Lim
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Sheila Nainan Myatra
- Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | | | - Yaseen M Arabi
- King Saud Bin Abdulaziz University for Health Sciences, King Abdullah International Medical Research Center, Ministry of National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Ming-Cheng Chan
- Division of Critical Care and Respiratory Therapy, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan; National Chung Hsing University, Taichung, Taiwan
| | - Mohammad Omar Faruq
- Critical Care Medicine and Emergency Medicine, United Medical College and United Hospital, Dhaka 1212, Bangladesh
| | - Ike Sri Redjeki
- Faculty of Medicine, Department of Anesthesiology and Intensive Care, Padjadjaran University, Dr. Hasan Sadikin National Referral Hospital Bandung, Bandung, Indonesia
| | - Do Ngoc Son
- Center for Critical Care Medicine, Bach Mai Hospital, University of Medicine and Pharmacy, Hanoi National University, Viet Nam
| | | | | | - Boonsong Patjanasoontorn
- Division of Respiratory and Critical Care Medicine, Department of Internal Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Jose Emmanuel Palo
- Acute and Critical Care Institute, The Medical City, Pasig City, Philippines
| | - Aidos Konkayev
- Anaesthesia and ICU Department, Astana Medical University, Institution of Traumatology and Orthopedics, Nur-Sultan, Kazakhstan
| | - Gentle Sunder Shrestha
- Department of Critical Care Medicine Institute of Medicine, Tribhuvan University Teaching Hospital, Kathmandu, Nepal
| | - Younsuck Koh
- Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
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Intermediate tidal volume is an acceptable option for ventilated patients with acute respiratory distress syndrome. Med Intensiva 2022; 46:609-618. [PMID: 36313965 PMCID: PMC9597521 DOI: 10.1016/j.medin.2022.03.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 03/25/2022] [Indexed: 01/05/2023]
Abstract
Objective Evidence only proves low surpasses high tidal volume (V T) for acute respiratory distress syndrome (ARDS). Intermediate V T is a common setting for ARDS patients and has been demonstrated as effective as low V T in non-ARDS patients. The effectiveness of intermediate V T in ARDS has not been studied and is the objective of this study. Design A retrospective cohort study. Setting Five ICUs with their totally 130 beds in Taiwan. Patients or participants ARDS patients under invasive ventilation. Interventions No. Main variables of interest 28-D mortality. Result Totally 382 patients, with 6958 ventilator settings eligible for lung protection, were classified into low (mean V T = 6.7 ml/kg), intermediate (mean V T = 8.9 ml/kg) and high (mean V T = 11.2 ml/kg) V T groups. With similar baseline ARDS and ICU severities, intermediate and low V T groups did not differ in 28-D mortality (47% vs. 63%, P = 0.06) or other outcomes such as 90-D mortality, ventilator-free days, ventilator-dependence rate. Multivariate analysis revealed high V T was independently associated with 28-D and 90-D mortality, but intermediate V T was not significantly associated with 28-D mortality (HR 1.34, CI 0.92-1.97, P = 0.13) or 90-D mortality. When the intermediate and low V T groups were matched in propensity scores (n = 66 for each group), their outcomes were also not significantly different. Conclusion Intermediate V T, with its outcomes similar to small V T, is an acceptable option for ventilated ARDS patients. This conclusion needs verification through clinical trials.
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Intermediate tidal volume is an acceptable option for ventilated patients with acute respiratory distress syndrome. MEDICINA INTENSIVA (ENGLISH EDITION) 2022; 46:609-618. [PMCID: PMC9633924 DOI: 10.1016/j.medine.2022.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 03/25/2022] [Indexed: 11/06/2022]
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Papazian L, Pauly V, Hamouda I, Daviet F, Orleans V, Forel JM, Roch A, Hraiech S, Boyer L. National incidence rate and related mortality for acute respiratory distress syndrome in France. Anaesth Crit Care Pain Med 2021; 40:100795. [PMID: 33359625 PMCID: PMC9896966 DOI: 10.1016/j.accpm.2020.100795] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 10/05/2020] [Accepted: 10/12/2020] [Indexed: 02/08/2023]
Abstract
INTRODUCTION Despite many efforts to improve mechanical ventilation strategies and the use of rescue strategies, ARDS-related mortality remains high. The primary objective of this study was to determine the incidence and 90-day mortality of ARDS patients admitted to all French ICUs following the introduction of the Berlin definition of ARDS. PATIENTS AND METHODS The data source for this nationwide cohort study was the French national hospital database (Programme de Médicalisation des Systèmes d'Information (PMSI)), which systematically collects administrative and medical information related to all patients hospitalised and hospital stays. Patient-level data were obtained from the PMSI database for all patients admitted to an ICU from the 1st of January 2017, through the 31st of December 2017. The inclusion criteria were as follows: ICU patients ≥ 18 years old with at least one International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10) diagnosis code of J80 (ARDS), either as a primary diagnosis or a secondary diagnosis, during their ICU stay. RESULTS A total of 12,846 ICU adult patients with ARDS were included. The crude incidence of ARDS was 24.6 per 100,000 person-years, varying with age from 6.7 per 100,000 person-years for those 18 through 40 years of age to 51.9 per 100,000 person-years for those 68 through 76 years of age. The in-hospital mortality rate was 51.1%. Day-90 mortality (day-1 being the ICU admission) was 51.2% and increased with age from 29.0% for patients 18 through 40 years of age to 69.3% for patients 77 years of age or older (p < 0.001). Only 53.9% of the survivors were transferred home directly after hospital discharge. CONCLUSIONS The incidence and mortality of ARDS in adults in France are higher than that generally reported in other countries.
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Affiliation(s)
- Laurent Papazian
- Assistance Publique – Hôpitaux de Marseille, Hôpital Nord, Médecine Intensive Réanimation, 13015 Marseille, France,Aix-Marseille Université, Faculté de Médecine, Centre d’Études et de Recherches sur les Services de Santé et qualité de vie EA 3279, 13005 Marseille, France,Corresponding author at: Médecine Intensive Réanimation, Hôpital Nord, Chemin des Bourrely, 13015 Marseille, France
| | - Vanessa Pauly
- Aix-Marseille Université, Faculté de Médecine, Centre d’Études et de Recherches sur les Services de Santé et qualité de vie EA 3279, 13005 Marseille, France,Unité d’Aide Méthodologique à la Recherche Clinique, Assistance Publique, Hôpitaux de Marseille, 13015 Marseille, France
| | - Ilyes Hamouda
- Aix-Marseille Université, Faculté de Médecine, Centre d’Études et de Recherches sur les Services de Santé et qualité de vie EA 3279, 13005 Marseille, France,Unité d’Aide Méthodologique à la Recherche Clinique, Assistance Publique, Hôpitaux de Marseille, 13015 Marseille, France
| | - Florence Daviet
- Assistance Publique – Hôpitaux de Marseille, Hôpital Nord, Médecine Intensive Réanimation, 13015 Marseille, France,Aix-Marseille Université, Faculté de Médecine, Centre d’Études et de Recherches sur les Services de Santé et qualité de vie EA 3279, 13005 Marseille, France
| | - Veronica Orleans
- Aix-Marseille Université, Faculté de Médecine, Centre d’Études et de Recherches sur les Services de Santé et qualité de vie EA 3279, 13005 Marseille, France,Unité d’Aide Méthodologique à la Recherche Clinique, Assistance Publique, Hôpitaux de Marseille, 13015 Marseille, France
| | - Jean-Marie Forel
- Assistance Publique – Hôpitaux de Marseille, Hôpital Nord, Médecine Intensive Réanimation, 13015 Marseille, France,Aix-Marseille Université, Faculté de Médecine, Centre d’Études et de Recherches sur les Services de Santé et qualité de vie EA 3279, 13005 Marseille, France
| | - Antoine Roch
- Aix-Marseille Université, Faculté de Médecine, Centre d’Études et de Recherches sur les Services de Santé et qualité de vie EA 3279, 13005 Marseille, France,Assistance Publique – Hôpitaux de Marseille, Hôpital Nord, Service des Urgences, 13015 Marseille, France
| | - Sami Hraiech
- Assistance Publique – Hôpitaux de Marseille, Hôpital Nord, Médecine Intensive Réanimation, 13015 Marseille, France,Aix-Marseille Université, Faculté de Médecine, Centre d’Études et de Recherches sur les Services de Santé et qualité de vie EA 3279, 13005 Marseille, France
| | - Laurent Boyer
- Aix-Marseille Université, Faculté de Médecine, Centre d’Études et de Recherches sur les Services de Santé et qualité de vie EA 3279, 13005 Marseille, France,Unité d’Aide Méthodologique à la Recherche Clinique, Assistance Publique, Hôpitaux de Marseille, 13015 Marseille, France
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Serazin NA, Edem B, Williams SR, Ortiz JR, Kawade A, Das MK, Šubelj M, Edwards KM, Parida SK, Wartel TA, Munoz FM, Bastero P. Acute respiratory distress syndrome (ARDS) as an adverse event following immunization: Case definition & guidelines for data collection, analysis, and presentation of immunization safety data. Vaccine 2021; 39:3028-3036. [PMID: 33583673 PMCID: PMC7843093 DOI: 10.1016/j.vaccine.2021.01.053] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 01/20/2021] [Indexed: 02/08/2023]
Abstract
This is a Brighton Collaboration Case Definition of the term “Acute Respiratory Distress Syndrome – ARDS” to be utilized in the evaluation of adverse events following immunization. The Case Definition was developed by a group of experts convened by the Coalition for Epidemic Preparedness Innovations (CEPI) in the context of active development of vaccines for SARS-CoV-2 vaccines and other emerging pathogens. The case definition format of the Brighton Collaboration was followed to develop a consensus definition and defined levels of certainty, after an exhaustive review of the literature and expert consultation. The document underwent peer review by the Brighton Collaboration Network and by selected Expert Reviewers prior to submission. The comments of the reviewers were taken into consideration and edits incorporated in this final manuscript.
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Affiliation(s)
- Nathan A Serazin
- Department of Pediatrics, Section of Critical Care Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Bassey Edem
- Department of Vaccines and Immunity, Medical Research Council the Gambia Unit at the London School of Hygiene and Tropical Medicine, UK
| | - Sarah R Williams
- Division of Pulmonary and Critical Care Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Justin R Ortiz
- Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Anand Kawade
- King Edward Memorial Hospital Research Centre, Vadu Rural Health Program Pune, India
| | | | - Maja Šubelj
- National Institute of Public Health, University of Ljubljana, Slovenia
| | - Kathryn M Edwards
- Division of Infectious Diseases, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - T Anh Wartel
- International Vaccine Institute, Seoul, Republic of Korea
| | - Flor M Munoz
- Departments of Pediatrics, Section of Infectious Diseases, and Molecular Virology and Microbiology, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
| | - Patricia Bastero
- Department of Pediatrics, Section of Critical Care Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA.
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Hwang H, Choi SM, Lee J, Park YS, Lee CH, Yoo CG, Kim YW, Han SK, Lee SM. Validation of age, PaO 2/FlO 2 and plateau pressure score in Korean patients with acute respiratory distress syndrome: a retrospective cohort study. Respir Res 2020; 21:94. [PMID: 32321513 PMCID: PMC7178575 DOI: 10.1186/s12931-020-01357-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 04/06/2020] [Indexed: 01/09/2023] Open
Abstract
Background A predictive scoring system for acute respiratory distress syndrome (ARDS) patients, which incorporates age, PaO2/FlO2, and plateau pressure, APPS, was developed recently. It was validated externally in a Caucasian population but has not been studied in Asian populations. The aim of this study was to validate APPS in Korean ARDS patients. Methods We retrospectively reviewed the medical records of patients who were diagnosed with ARDS using the Berlin criteria and admitted to the medical ICU at Seoul National University Hospital from January 2015 to December 2016. The validation of the APPS was performed by evaluating its calibration and predictive accuracy. Its calibration was plotted and quantified using the Hosmer–Lemeshow test. Its predictive accuracy was assessed by calculating the area under the receiver operating characteristics (AUC–ROC) curve. Results A total of 116 patients were analyzed, 32 of whom survived. Of the 116 patients, 11 (9.5%) were classified as APPS grade 1 (score 3–4), 88 (75.9%) as grade 2 (score 5–7) and 17 (14.6%) as grade 3 (score 8–9). In-hospital mortality was 27.3% for grade 1, 73.9% for grade 2 and 94.1% for grade 3 (P for trend < 0.001). The APPS was well calibrated (Hosmer–Lemeshow test, P = 0.578) and its predictive accuracy was acceptable (AUC–ROC 0.704, 95% confidence interval 0.599–0.809). Conclusions The APPS predicted in-hospital mortality in Korean patients with ARDS with similar power to its application in a Western population and with acceptable predictive accuracy. Trial registration Retrospectively registered.
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Affiliation(s)
- Hyeontaek Hwang
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea
| | - Sun Mi Choi
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea
| | - Jinwoo Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea
| | - Young Sik Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea
| | - Chang-Hoon Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea
| | - Chul-Gyu Yoo
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea
| | - Young Whan Kim
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea
| | - Sung Koo Han
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea
| | - Sang-Min Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, College of Medicine, Daehak-ro 101, Jongro-gu, Seoul, 03080, Republic of Korea.
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Dai Q, Wang S, Liu R, Wang H, Zheng J, Yu K. Risk factors for outcomes of acute respiratory distress syndrome patients: a retrospective study. J Thorac Dis 2019; 11:673-685. [PMID: 31019754 DOI: 10.21037/jtd.2019.02.84] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Background The determination of risk factors for acute respiratory distress syndrome (ARDS) patients remains a challenge. Our study aims to explore the epidemiology and risk factors affecting outcomes of ARDS patients and provide a theoretical basis for patients' prognosis. Methods This retrospective study included 207 ARDS patients admitted to the general intensive care unit (ICU) in the Second Affiliated Hospital of Harbin Medical University from Jan 1st, 2016 to Jan 1st, 2017. The criteria were defined according to the Berlin Definition, and clinical data were collected from the medical record system. The mortality rate and duration of mechanical ventilation were compared in ARDS patients. Furthermore, logistic regression analysis was applied to screen clinically accessible risk factors for survival and duration of mechanical ventilation. Results The total mortality in ARDS patients was 39.13% (81/207) compared to 13.57% (151/1,113) in the whole ICU population. The period prevalence of mild, moderate and severe ARDS was 39.61% (82/207), 37.20% (77/207) and 23.19% (48/207), respectively. Logistic regression analysis showed that acute physiology and chronic health evaluation II (APACHE II) score (OR 3.4316; 95% CI: 1.3130-8.9686; P=0.0119), number of organ failure (OR 3.4928; 95% CI: 1.9775-6.1693; P<0.0001), mean arterial pressure (MAP) (OR 5.1049; 95% CI: 1.8317-14.2274; P=0.0018), driving pressure (OR 6.0017; 95% CI: 2.1746-16.5641; P=0.0005) and lactate level (OR 4.0754; 95% CI: 1.6114-10.3068; P=0.0030) were influence factors for survival; severity of ARDS (OR 1.6715; 95% CI: 1.0307-2.7108; P=0.0373), ventilator-associated pneumonia (VAP) (OR 7.3746; 95% CI: 2.9799-18.2505; P<0.0001) and transfusion history (OR 2.2822; 95% CI: 1.0462-4.9783; P=0.0381) were influence factors for duration of mechanical ventilation. Conclusions Higher APACHE II score, more organ failures, lower MAP, higher driving pressure and higher lactate level are risk factors for survival. Higher severity of ARDS, VAP and transfusion history are risk factors for prolonged duration of mechanical ventilation. Application of these parameters would enable intensivists to treat their patients more precisely and comprehensively.
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Affiliation(s)
- Qingqing Dai
- Department of Critical Care Medicine, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Sicong Wang
- Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin 150081, China
| | - Ruijin Liu
- Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin 150081, China
| | - Hongliang Wang
- Department of Critical Care Medicine, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Junbo Zheng
- Department of Critical Care Medicine, the Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
| | - Kaijiang Yu
- Department of Critical Care Medicine, Harbin Medical University Cancer Hospital, Harbin 150081, China
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