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Gandasasmita N, Li J, Loane DJ, Semple BD. Experimental Models of Hospital-Acquired Infections After Traumatic Brain Injury: Challenges and Opportunities. J Neurotrauma 2024; 41:752-770. [PMID: 37885226 DOI: 10.1089/neu.2023.0453] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2023] Open
Abstract
Patients hospitalized after a moderate or severe traumatic brain injury (TBI) are at increased risk of nosocomial infections, including bacterial pneumonia and other upper respiratory tract infections. Infections represent a secondary immune challenge for vulnerable TBI patients that can lead to increased morbidity and poorer long-term prognosis. This review first describes the clinical significance of infections after TBI, delving into the known mechanisms by which a TBI can alter systemic immunological responses towards an immunosuppressive state, leading to promotion of increased vulnerability to infections. Pulmonary dysfunction resulting from respiratory tract infections is considered in the context of neurotrauma, including the bidirectional relationship between the brain and lungs. Turning to pre-clinical modeling, current laboratory approaches to study experimental TBI and lung infections are reviewed, to highlight findings from the limited key studies to date that have incorporated both insults. Then, practical decisions for the experimental design of animal studies of post-injury infections are discussed. Variables associated with the host animal, the infectious agent (e.g., species, strain, dose, and administration route), as well as the timing of the infection relative to the injury model are important considerations for model development. Together, the purpose of this review is to highlight the significant clinical need for increased pre-clinical research into the two-hit insult of a hospital-acquired infection after TBI to encourage further scientific enquiry in the field.
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Affiliation(s)
| | - Jian Li
- Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia
- Department of Microbiology, Monash University, Melbourne, Victoria, Australia
| | - David J Loane
- School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland
- Department of Anesthesiology and Shock, Trauma and Anesthesiology Research (STAR) Center, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Bridgette D Semple
- Department of Neuroscience, Monash University, Melbourne, Victoria, Australia
- Department of Neurology, Alfred Health, Prahran, Victoria, Australia
- Department of Medicine (Royal Melbourne Hospital), The University of Melbourne, Parkville, Victoria, Australia
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Sun PYW, Fanning J, Peeler A, Shou B, Lindsley J, Caturegli G, Whitman G, Cha S, Kim BS, Cho SM. Characteristics of delirium and its association with sedation and in-hospital mortality in patients with COVID-19 on veno-venous extracorporeal membrane oxygenation. Front Med (Lausanne) 2023; 10:1172063. [PMID: 37305142 PMCID: PMC10248255 DOI: 10.3389/fmed.2023.1172063] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 04/25/2023] [Indexed: 06/13/2023] Open
Abstract
Background Veno-venous extracorporeal membrane oxygenation (VV-ECMO) has been used in patients with COVID-19 acute respiratory distress syndrome (ARDS). We aim to assess the characteristics of delirium and describe its association with sedation and in-hospital mortality. Methods We retrospectively reviewed adult patients on VV-ECMO for severe COVID-19 ARDS in the Johns Hopkins Hospital ECMO registry in 2020-2021. Delirium was assessed by the Confusion Assessment Method for the ICU (CAM-ICU) when patients scored-3 or above on the Richmond Agitation-Sedation Scale (RASS). Primary outcomes were delirium prevalence and duration in the proportion of days on VV-ECMO. Results Of 47 patients (median age = 51), 6 were in a persistent coma and 40 of the remaining 41 patients (98%) had ICU delirium. Delirium in the survivors (n = 21) and non-survivors (n = 26) was first detected at a similar time point (VV-ECMO day 9.5(5,14) vs. 8.5(5,21), p = 0.56) with similar total delirium days on VV-ECMO (9.5[3.3, 16.8] vs. 9.0[4.3, 28.3] days, p = 0.43). Non-survivors had numerically lower RASS scores on VV-ECMO days (-3.72[-4.42, -2.96] vs. -3.10[-3.91, -2.21], p = 0.06) and significantly prolonged delirium-unassessable days on VV-ECMO with a RASS of -4/-5 (23.0[16.3, 38.3] vs. 17.0(6,23), p = 0.03), and total VV-ECMO days (44.5[20.5, 74.3] vs. 27.0[21, 38], p = 0.04). The proportion of delirium-present days correlated with RASS (r = 0.64, p < 0.001), the proportions of days on VV-ECMO with a neuromuscular blocker (r = -0.59, p = 0.001), and with delirium-unassessable exams (r = -0.69, p < 0.001) but not with overall ECMO duration (r = 0.01, p = 0.96). The average daily dosage of delirium-related medications on ECMO days did not differ significantly. On an exploratory multivariable logistic regression, the proportion of delirium days was not associated with mortality. Conclusion Longer duration of delirium was associated with lighter sedation and shorter paralysis, but it did not discern in-hospital mortality. Future studies should evaluate analgosedation and paralytic strategies to optimize delirium, sedation level, and outcomes.
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Affiliation(s)
- Philip Young-woo Sun
- Division of Neurosciences Critical Care, Departments of Neurology, Neurosurgery, and Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Jonathon Fanning
- Division of Cardiothoracic Surgery, Department of Surgery, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Anna Peeler
- King's College London, Cicely Saunders Institute of Palliative Care, Policy, and Rehabilitation, London, United Kingdom
| | - Benjamin Shou
- Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - John Lindsley
- Department of Pharmacy, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Giorgio Caturegli
- Department of Surgery, Yale School of Medicine, New Haven, CT, United States
| | - Glenn Whitman
- Division of Cardiothoracic Surgery, Department of Surgery, Johns Hopkins Hospital, Baltimore, MD, United States
| | - Stephanie Cha
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Bo Soo Kim
- Department of Pulmonary Critical Care Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Sung-Min Cho
- Division of Neurosciences Critical Care, Departments of Neurology, Neurosurgery, and Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States
- Division of Cardiothoracic Surgery, Department of Surgery, Johns Hopkins Hospital, Baltimore, MD, United States
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Tikhonova YG, Kinkulkina MA, Volkov AV, Sedelkova VA, Avdeeva TI, Izyumina TA, Makarova MA, Maximova TN, Brovko MY, Moiseev SV, Ivanets NN. [Prevalence and risk factors of delirium in COVID-19]. Zh Nevrol Psikhiatr Im S S Korsakova 2023; 123:86-92. [PMID: 37490670 DOI: 10.17116/jnevro202312307186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
OBJECTIVE To assess the frequency and risk factors of delirium in patients hospitalized with COVID-19. MATERIAL AND METHODS Four hundred and forty patients admitted to the Infectious Diseases Hospital of the University Clinical Hospital No.3 of Sechenov University were included in the study. The Patient Health Questionnaire (PHQ-9), the Generalized Anxiety Disorder Screening Questionnaire-7 (GAD-7), the Insomnia Severity Index (ISI), the Delirium severity rating scale (DRS-R-98) were administered. RESULTS Delirium was detected in 27.8% of patients. Significant risk factors were age (p=0.002), severity of respiratory failure (p=0.005), concomitant somatic disease (p=0.003), and respiratory therapy (p<0.001). There was an association between severe anxiety (p<0.001) and insomnia (p=0.07) observed at admission with the risk of developing delirium during the hospital stay. CONCLUSION The study reveals a high prevalence of delirium in patients with COVID-19. In order to prevent delirium and/or reduce the risk, early diagnosis and identification of preclinical forms are of particular importance.
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Affiliation(s)
- Yu G Tikhonova
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - M A Kinkulkina
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - A V Volkov
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - V A Sedelkova
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - T I Avdeeva
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - T A Izyumina
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - M A Makarova
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - T N Maximova
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - M Yu Brovko
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - S V Moiseev
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
| | - N N Ivanets
- Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
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