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Jin Z, Hana Z, Alam A, Rajalingam S, Abayalingam M, Wang Z, Ma D. Review 1: Lung transplant-from donor selection to graft preparation. J Anesth 2020; 34:561-574. [PMID: 32476043 PMCID: PMC7261511 DOI: 10.1007/s00540-020-02800-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Accepted: 05/17/2020] [Indexed: 12/16/2022]
Abstract
For various end-stage lung diseases, lung transplantation remains one of the only viable treatment options. While the demand for lung transplantation has steadily risen over the last few decades, the availability of donor grafts is limited, which have resulted in progressively longer waiting lists. In the early years of lung transplantation, only the 'ideal' donor grafts are considered for transplantation. Due to the donor shortages, there is ongoing discussion about the safe use of 'suboptimal' grafts to expand the donor pool. In this review, we will discuss the considerations around donor selection, donor-recipient matching, graft preparation and graft optimisation.
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Affiliation(s)
- Zhaosheng Jin
- Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea and Westminster Hospital, London, SW10 9NH, UK
| | - Zac Hana
- Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea and Westminster Hospital, London, SW10 9NH, UK
| | - Azeem Alam
- Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea and Westminster Hospital, London, SW10 9NH, UK
| | - Shamala Rajalingam
- Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea and Westminster Hospital, London, SW10 9NH, UK
| | - Mayavan Abayalingam
- Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea and Westminster Hospital, London, SW10 9NH, UK
| | - Zhiping Wang
- Department of Anesthesiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Daqing Ma
- Division of Anaesthetics, Pain Medicine and Intensive Care, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Chelsea and Westminster Hospital, London, SW10 9NH, UK.
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Sceales P, Turle S, Stevenson N, Cohen J, Overend J, Abayalingam M. Use of Electronic Intubation Checklist on The ICU To Improve Safety and Staff Satisfaction. Trends in Anaesthesia and Critical Care 2020. [DOI: 10.1016/j.tacc.2019.12.229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Brinkler R, Edwards Z, Abid S, Oliver CM, Lo Q, Stewart A, Abayalingam M, Abid S, Afzal S, Aly H, Kasi Anandan T, Ariyanayagam R, Armstrong S, Ashiru G, Barrett S, Baytug B, Black R, Bowman S, Brayshaw S, Brinkler R, Brocklesby S, Cain J, Casey P, Chambers K, Chan C, Chapman R, Cheah C, Cheesman K, Cohen J, Cole A, Combeer A, Cowie V, Dabrowicz A, Desai N, Donovan C, Doraiswami M, El Amin O, Edwards Z, Ellimah T, Evans M, Fawcett E, Fletcher L, Forman E, Fulton L, Gardener K, George R, Gorur P, Gowripalann T, Greenslade T, Hamlyn L, Hawkins R, Herrmann R, Hilton J, Hutchinson J, Kelliher L, Kelly J, King K, Lim S, Mahinthan V, Mahmood N, Major J, Masood N, Matthews L, McHugh B, Milne S, Miltsios K, Monks D, Moores R, Nicklin A, Panesar N, Papageorgiou C, Patel R, Pathmabaskaran S, Perinpanayagam J, Peake M, Pritchard N, Powell K, Qureshi J, Redington K, Richards N, Rintoul E, Robson M, Routley C, Salota V, Samuel M, Sapsford M, Schwartz N, Sellers C, Shareiff I, Sharifi L, Shonfeld A, Stewart A, Story H, Sudunagunta S, Suppiah P, Tamilselvan P, Thompson H, Turner W, Uzkalniene V, Veglio E, Webb A, Waiting J, Wedgewood T, Westcott L, Wickham A, Wilson L, Wimble K, Wong R, Wong S, Wray S, Zafar S. A survey of antenatal and peripartum provision of information on analgesia and anaesthesia. Anaesthesia 2019; 74:1101-1111. [DOI: 10.1111/anae.14745] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/29/2019] [Indexed: 11/30/2022]
Affiliation(s)
- R. Brinkler
- Department of Anaesthesia University College Hospital LondonUK
| | - Z. Edwards
- Department of Anaesthesia Queen Charlotte's and Chelsea Hospital London UK
| | - S. Abid
- Department of Anaesthesia Queen Charlotte's and Chelsea Hospital London UK
| | - C. M. Oliver
- Division of Surgery and Interventional Science University College London UK
| | - Q. Lo
- Department of Anaesthesia Queen Charlotte's and Chelsea Hospital London UK
| | - A. Stewart
- Department of Anaesthesia University College Hospital LondonUK
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Bhattacharyya S, Mittal T, Abayalingam M, Kabir T, Dalby M, Cleland JG, Baltabaeva A, Rahman Haley S. Classification of Aortic Stenosis by Flow and Gradient Patterns Provides Insights into the Pathophysiology of Disease. Angiology 2015; 67:664-9. [PMID: 26475710 DOI: 10.1177/0003319715611804] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Different patterns of flow and valve gradients can lead to diagnostic uncertainty about the severity of aortic stenosis (AS). Consecutive patients with severe AS (valve area <1 cm(2)) underwent echocardiography and computed tomography. Patients were classified into 4 groups (high-gradient/normal flow [HGNF], high-gradient/low flow [HGLF], low-gradient/normal flow [LGNF], and low-gradient/low flow [LGLF]). Low flow was defined as stroke volume index <35 mL/m(2) and low gradient as a mean aortic gradient <40 mm Hg. Aortic valve calcification (AVC) was calculated using the Agatston score. Of 181 patients, 56, 30, 46, and 49 had HGNF, HGLF, LGNF and LGLF with median AVC of 2048, 2015, 1366, and 1178 AU/m(2) (P < .0001) and valvuloarterial impedance of 4.5, 6.4, 4.2, and 5.9, respectively (P < .0001). Among those with LGLF, AVC was lower in patients with preserved compared to reduced left ventricular ejection fraction (1018 vs 2550 AU/m(2); P < .0001), but valvuloarterial impedance was similar (P = .33). The LGLF AS with preserved ejection fraction is associated with lower AVC and may identify patients with less severe AS in association with an adaptive ventricular response to high afterload.
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Affiliation(s)
- Sanjeev Bhattacharyya
- Department of Cardiology, Harefield Hospital, London, United Kingdom Echocardiography Laboratory, Harefield Hospital, London, United Kingdom
| | - Tarun Mittal
- Department of Imaging, Harefield Hospital, London, United Kingdom
| | | | - Tito Kabir
- Department of Cardiology, Harefield Hospital, London, United Kingdom
| | - Miles Dalby
- Department of Cardiology, Harefield Hospital, London, United Kingdom
| | - John G Cleland
- Department of Cardiology, Harefield Hospital, London, United Kingdom
| | - Aigul Baltabaeva
- Department of Cardiology, Harefield Hospital, London, United Kingdom Echocardiography Laboratory, Harefield Hospital, London, United Kingdom
| | - Shelley Rahman Haley
- Department of Cardiology, Harefield Hospital, London, United Kingdom Echocardiography Laboratory, Harefield Hospital, London, United Kingdom
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