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He LX, Deng K, Wang J, Zhang X, Wang L, Zhang HP, Xie M, Chen ZH, Zhang J, Chen-Yu Hsu A, Zhang L, Oliver BG, Wark PAB, Qin L, Gao P, Wan HJ, Liu D, Luo FM, Li WM, Wang G, Gibson PG. Clinical Subtypes of Neutrophilic Asthma: A Cluster Analysis From Australasian Severe Asthma Network. J Allergy Clin Immunol Pract 2024; 12:686-698.e8. [PMID: 37778630 DOI: 10.1016/j.jaip.2023.09.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/19/2023] [Accepted: 09/21/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND Clinical heterogeneity may exist within asthma subtypes defined by inflammatory markers. However, the heterogeneity of neutrophilic asthma (NA) remains largely unexplored. OBJECTIVE To explore potential clusters and the stability of NA. METHODS Participants with NA from the Australasian Severe Asthma Network underwent a multidimensional assessment. They were then asked to participate in a 12-month longitudinal cohort study. We explored potential clusters using a hierarchical cluster analysis and validated the differential future risk of asthma exacerbations in the identified clusters. A decision tree analysis was developed to predict cluster assignments. Finally, the stability of prespecified clusters was examined within 1 month. RESULTS Three clusters were identified in 149 patients with NA. Cluster 1 (n = 99; 66.4%) was characterized by female-predominant nonsmokers with well-controlled NA, cluster 2 (n = 16; 10.7%) by individuals with comorbid anxiety/depressive symptoms with poorly controlled NA, and cluster 3 by older male smokers with late-onset NA. Cluster 2 had a greater proportion of participants with severe exacerbations (P = .005), hospitalization (P = .010), and unscheduled visits (P = .013) and a higher number of emergency room visits (P = .039) than that of the other two clusters. The decision tree assigned 92.6% of participants correctly. Most participants (87.5%; n = 7) in cluster 2 had a stable NA phenotype, whereas participants of clusters 1 and 3 had variable phenotypes. CONCLUSIONS We identified three clinical clusters of NA, in which cluster 2 represents an uncontrolled and stable NA subtype with an elevated risk of exacerbations. These findings have clinical implications for the management of NA.
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Affiliation(s)
- Li Xiu He
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China
| | - Ke Deng
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China
| | - Ji Wang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China
| | - Xin Zhang
- Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China; Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Lei Wang
- Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China; Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Hong Ping Zhang
- Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China; Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Min Xie
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Zhi Hong Chen
- Shanghai Institute of Respiratory Disease, Respiratory Division of Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Zhang
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Jilin University, Changchun, Jilin, China
| | - Alan Chen-Yu Hsu
- Program in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore
| | - Li Zhang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China; Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Brian G Oliver
- School of Life Sciences, University of Technology Sydney, Ultimo, New South Wales, Australia; Woolcock Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia
| | - Peter A B Wark
- Priority Research Center for Healthy Lungs, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia; Department of Respiratory and Sleep Medicine, John Hunter Hospital, University of Newcastle, Newcastle, New South Wales, Australia
| | - Ling Qin
- Department of Respiratory and Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, China
| | - Peng Gao
- Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Jilin University, Changchun, Jilin, China
| | - Hua Jing Wan
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China
| | - Dan Liu
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Respiratory Microbiome Laboratory, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, Sichuan, China
| | - Feng Ming Luo
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China
| | - Wei Min Li
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Respiratory Microbiome Laboratory, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, Sichuan, China.
| | - Gang Wang
- Department of Respiratory and Critical Care Medicine, Clinical Research Center for Respiratory Disease, West China Hospital, Sichuan University, Chengdu, China; State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Pulmonary Immunology and Inflammation, Frontiers Science Center for Disease-Related Molecular Network, Sichuan University, Chengdu, China.
| | - Peter Gerard Gibson
- Priority Research Center for Healthy Lungs, Hunter Medical Research Institute, University of Newcastle, Newcastle, New South Wales, Australia; Department of Respiratory and Sleep Medicine, John Hunter Hospital, University of Newcastle, Newcastle, New South Wales, Australia; National Health and Medical Research Council Center for Excellence in Severe Asthma, Newcastle, New South Wales, Australia
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Hirani R, Okumura K, Isath A, Gregory V, Khan S, Dhand A, Lanier GM, Spielvogel D, Kai M, Ohira S. Utilization of hepatitis C virus infected donors in heart transplant recipients with elevated MELD-XI score. Clin Transplant 2023; 37:e15124. [PMID: 37688341 DOI: 10.1111/ctr.15124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 08/30/2023] [Accepted: 09/01/2023] [Indexed: 09/10/2023]
Abstract
BACKGROUND The advent of direct-acting antivirals has helped to increase the safe utilization of organs from hepatitis C virus positive (HCV+) donors. However, the outcomes of heart transplantation (HT) using an HCV+ donor are unclear in recipients with underlying liver disease represented by an elevated model for end-stage liver disease excluding international normalized ratio (MELD-XI). METHODS The United Network of Organ Sharing database was queried from Jan 2016 to Dec 2021. Post-transplant outcomes stratified by recipient MELD-XI score (low <10.37, medium, 10.38-13.39, and high >13.4) was compared between patients with HT from HCV+ (N = 792) and patients with HT from HCV-negative donors (N = 15,266). RESULTS The median MELD-XI score was comparable (HCV+, 12.1, vs. HCV-negative, 11.8, p = .37). In the HCV+ group, donors were older (33 vs. 31 years, p < .001). Ischemic time of donor hearts (3.48 vs. 3.28 h, p < .001) and travel distance (250 vs. 157 miles, p < .001) were longer in HCV+ group. In the Kaplan Meier analysis with a median follow-up of 750 days, survival was comparable between the two groups (2-year survival, MELD-XI Low: HCV+, 92.4 ± 3.6% vs. HCV-negative, 91.1 ±.8%, p = .83, Medium: HCV+ 89.2 ± 4.3% vs. HCV-negative, 88.2 ± 1.0%, p = .68, and High: HCV+, 84.9 ± 4.5% vs. HCV-negative, 84.6 ± 1.1%, p = .75) In multivariate Cox hazard models, HCV donors were not associated with mortality in each MELD-XI subgroup (Low: adjusted hazard ratio (aHR), 1.02, p = .94; Medium: aHR, .95, p = .81; and High: aHR, .93, p = .68). CONCLUSION Utilization of HCV+ hearts was not associated with an increased risk of adverse outcomes in recipients with an elevated MELD- XI score.
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Affiliation(s)
- Rahim Hirani
- New York Medical College, Valhalla, New York, USA
| | - Kenji Okumura
- Division of Cardiothoracic Surgery, Department of Surgery, Westchester Medical Center, Valhalla, New York, USA
| | - Ameesh Isath
- Department of Cardiology, Westchester Medical Center, Valhalla, New York, USA
| | | | - Shazli Khan
- Department of Cardiology, Westchester Medical Center, Valhalla, New York, USA
| | - Abhay Dhand
- Transplant Infectious Disease, Department of Medicine, Westchester Medical Center, Valhalla, New York, USA
| | - Gregg M Lanier
- New York Medical College, Valhalla, New York, USA
- Department of Cardiology, Westchester Medical Center, Valhalla, New York, USA
| | - David Spielvogel
- New York Medical College, Valhalla, New York, USA
- Division of Cardiothoracic Surgery, Department of Surgery, Westchester Medical Center, Valhalla, New York, USA
| | - Masashi Kai
- Division of Cardiac Surgery, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Suguru Ohira
- New York Medical College, Valhalla, New York, USA
- Division of Cardiothoracic Surgery, Department of Surgery, Westchester Medical Center, Valhalla, New York, USA
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Agrawal A, Arockiam AD, Jamil Y, El Dahdah J, Honnekeri B, Chedid El Helou M, Kassab J, Wang TKM. Contemporary risk models for infective endocarditis surgery: a narrative review. Ther Adv Cardiovasc Dis 2023; 17:17539447231193291. [PMID: 37646184 PMCID: PMC10469256 DOI: 10.1177/17539447231193291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 07/21/2023] [Indexed: 09/01/2023] Open
Abstract
Infective endocarditis is a complex heterogeneous condition involving the infection of the endocardium and heart valves, leading to severe complications, including death. Surgery is often indicated in patients with infective endocarditis but is associated with elevated risk compared with other forms of cardiac surgery. Risk models play an important role in many cardiac surgeries as they can help inform clinicians and patients regarding procedural risk, decision-making to proceed or not, and influence perioperative management; however, they remain under-utilized in the infective endocarditis settings. Another crucial role of such risk models is to assess predicted versus found mortality, thereby allowing an assessment of institutional performance in infective endocarditis surgery. Traditionally, general cardiac surgery risk models such as European System for Cardiac Operative Risk Evaluation (EuroSCORE), EuroSCORE II, and Society of Thoracic Surgeon's score have been applied to endocarditis surgery. However, there has been the development of many endocarditis surgery-specific scores over the last decade. This review aims to discuss clinical characteristics and applications of all contemporary risk scores in the setting of surgical treatment of infective endocarditis.
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Affiliation(s)
- Ankit Agrawal
- Section of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Aro Daniela Arockiam
- Section of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Yasser Jamil
- Yale-Waterbury, Department of Internal Medicine, Yale School of Medicine, Waterbury, CT, USA
| | - Joseph El Dahdah
- Section of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Bianca Honnekeri
- Section of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Michel Chedid El Helou
- Section of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Joseph Kassab
- Section of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Tom Kai Ming Wang
- Section of Cardiovascular Imaging, Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, 9500 Euclid Avenue, Main Campus, J1-5, Cleveland, OH 44195, USA
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