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Lin N, Fan CJ, Li FY, Luo HR, Li YM, Duggal A, Benn BS, Yan T, Pan LL, Lai ZM. Research trends and hotspots in the field of electrical impedance tomography for mechanical ventilation: a bibliometric analysis. J Thorac Dis 2024; 16:2070-2081. [PMID: 38617762 PMCID: PMC11009609 DOI: 10.21037/jtd-24-98] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 03/01/2024] [Indexed: 04/16/2024]
Abstract
Background Electrical impedance tomography (EIT) is a relatively recent functional imaging technique that is both noninvasive and radiation free. EIT measures the associated voltage when a weak current is applied to the surface of the human body to determine the distribution of electrical resistance within tissues. We performed a bibliometrics-based review to explore the geographic hotspots of current research and future trends developing in the field of EIT for mechanical ventilation. Methods The Web of Science database was searched from its inception to June 25, 2023. CiteSpace software was used to visualize and analyze the relevant literature and identify the most impactful literature, trends, and hotspots. Results 363 articles describing EIT use in mechanical ventilation were identified. A fluctuating growth in the number of publications was observed from 1998 to 2023. Germany had the highest number of articles (n=154), followed by Italy (n=53) and China (n=52). A cluster analysis of keyword co-occurrence revealed that "titration", "ventilator-related lung injury", and "oxygenation" were the most actively researched terms associated with the use of EIT in mechanically ventilated patients. Conclusions Significant progress has been made in EIT research for mechanical ventilation. EIT research is limited to a small number of countries with a present research focus on the prevention and treatment of ventilator-related lung injury, oxygenation status, and prone ventilation. These topics are expected to remain research hotspots in the future.
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Affiliation(s)
- Nan Lin
- Department of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Chong-Jiu Fan
- Department of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Fu-Yuan Li
- Department of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Hui-Rong Luo
- Department of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yu-Mei Li
- Department of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Abhijit Duggal
- Department of Critical Care Medicine, Respiratory Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
- Department of Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Bryan S. Benn
- Pulmonary Department, Respiratory Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ting Yan
- Department of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Ling-Li Pan
- Department of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Zhong-Meng Lai
- Department of Anesthesiology, Fujian Medical University Union Hospital, Fuzhou, China
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Heines SJH, Becher TH, van der Horst ICC, Bergmans DCJJ. Clinical Applicability of Electrical Impedance Tomography in Patient-Tailored Ventilation: A Narrative Review. Tomography 2023; 9:1903-1932. [PMID: 37888742 PMCID: PMC10611090 DOI: 10.3390/tomography9050150] [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: 08/30/2023] [Revised: 10/05/2023] [Accepted: 10/16/2023] [Indexed: 10/28/2023] Open
Abstract
Electrical Impedance Tomography (EIT) is a non-invasive bedside imaging technique that provides real-time lung ventilation information on critically ill patients. EIT can potentially become a valuable tool for optimising mechanical ventilation, especially in patients with acute respiratory distress syndrome (ARDS). In addition, EIT has been shown to improve the understanding of ventilation distribution and lung aeration, which can help tailor ventilatory strategies according to patient needs. Evidence from critically ill patients shows that EIT can reduce the duration of mechanical ventilation and prevent lung injury due to overdistension or collapse. EIT can also identify the presence of lung collapse or recruitment during a recruitment manoeuvre, which may guide further therapy. Despite its potential benefits, EIT has not yet been widely used in clinical practice. This may, in part, be due to the challenges associated with its implementation, including the need for specialised equipment and trained personnel and further validation of its usefulness in clinical settings. Nevertheless, ongoing research focuses on improving mechanical ventilation and clinical outcomes in critically ill patients.
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Affiliation(s)
- Serge J. H. Heines
- Department of Intensive Care Medicine, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands; (I.C.C.v.d.H.); (D.C.J.J.B.)
| | - Tobias H. Becher
- Department of Anesthesiology and Intensive Care Medicine, Campus Kiel, University Medical Centre Schleswig-Holstein, 24118 Kiel, Germany;
| | - Iwan C. C. van der Horst
- Department of Intensive Care Medicine, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands; (I.C.C.v.d.H.); (D.C.J.J.B.)
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, 6229 HX Maastricht, The Netherlands
| | - Dennis C. J. J. Bergmans
- Department of Intensive Care Medicine, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands; (I.C.C.v.d.H.); (D.C.J.J.B.)
- School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, 6229 ER Maastricht, The Netherlands
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Heines SJH, de Jongh SAM, Strauch U, van der Horst ICC, van de Poll MCG, Bergmans DCJJ. The global inhomogeneity index assessed by electrical impedance tomography overestimates PEEP requirement in patients with ARDS: an observational study. BMC Anesthesiol 2022; 22:258. [PMID: 35971060 PMCID: PMC9377133 DOI: 10.1186/s12871-022-01801-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 08/08/2022] [Indexed: 11/24/2022] Open
Abstract
Background Electrical impedance tomography (EIT) visualises alveolar overdistension and alveolar collapse and enables optimisation of ventilator settings by using the best balance between alveolar overdistension and collapse (ODCL). Besides, the global inhomogeneity index (GI), measured by EIT, may also be of added value in determining PEEP. Optimal PEEP is often determined based on the best dynamic compliance without EIT at the bedside. This study aimed to assess the effect of a PEEP trial on ODCL, GI and dynamic compliance in patients with and without ARDS. Secondly, PEEP levels from “optimal PEEP” approaches by ODCL, GI and dynamic compliance are compared. Methods In 2015–2016, we included patients with ARDS using postoperative cardiothoracic surgery patients as a reference group. A PEEP trial was performed with four consecutive incremental followed by four decremental PEEP steps of 2 cmH2O. Primary outcomes at each step were GI, ODCL and best dynamic compliance. In addition, the agreement between ODCL, GI, and dynamic compliance was determined for the individual patient. Results Twenty-eight ARDS and 17 postoperative cardiothoracic surgery patients were included. The mean optimal PEEP, according to best compliance, was 10.3 (±2.9) cmH2O in ARDS compared to 9.8 (±2.5) cmH2O in cardiothoracic surgery patients. Optimal PEEP according to ODCL was 10.9 (±2.5) in ARDS and 9.6 (±1.6) in cardiothoracic surgery patients. Optimal PEEP according to GI was 17.1 (±3.9) in ARDS compared to 14.2 (±3.4) in cardiothoracic surgery patients. Conclusions Currently, no golden standard to titrate PEEP is available. We showed that when using the GI, PEEP requirements are higher compared to ODCL and best dynamic compliance during a PEEP trial in patients with and without ARDS. Supplementary Information The online version contains supplementary material available at 10.1186/s12871-022-01801-7.
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Affiliation(s)
- Serge J H Heines
- Department of Intensive Care Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, P.O. Box 5800, 6202, AZ, Maastricht, The Netherlands.
| | - Sebastiaan A M de Jongh
- Department of Intensive Care Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, P.O. Box 5800, 6202, AZ, Maastricht, The Netherlands
| | - Ulrich Strauch
- Department of Intensive Care Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, P.O. Box 5800, 6202, AZ, Maastricht, The Netherlands
| | - Iwan C C van der Horst
- Department of Intensive Care Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, P.O. Box 5800, 6202, AZ, Maastricht, The Netherlands.,Cardiovascular Research Institute Maastricht (CARIM), Maastricht University, Maastricht, The Netherlands
| | - Marcel C G van de Poll
- Department of Intensive Care Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, P.O. Box 5800, 6202, AZ, Maastricht, The Netherlands.,Department of Surgery, Maastricht University Medical Centre+, P. Debyelaan 25, 6229HX, Maastricht, the Netherlands.,School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Dennis C J J Bergmans
- Department of Intensive Care Medicine, Maastricht University Medical Centre+, P. Debyelaan 25, P.O. Box 5800, 6202, AZ, Maastricht, The Netherlands.,School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
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