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Coakley M, Drohan M, Bruce E, Hughes S, Jackson N, Holmes S. COPD Self-Management: A Patient-Physician Perspective. Pulm Ther 2024:10.1007/s41030-024-00258-y. [PMID: 38758408 DOI: 10.1007/s41030-024-00258-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/17/2024] [Indexed: 05/18/2024] Open
Abstract
This article is co-authored by five patients living with chronic obstructive pulmonary disease (COPD), and a primary care physician who has over 30 years of clinical experience and is involved in educating healthcare professionals. The first section of this article is authored by the patients, who describe their experiences of living with COPD. The section that follows is authored by the physician, who discusses the management of COPD in the context of the patients' experiences.
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Kwon S, Lee M, Crowley G, Schwartz T, Zeig-Owens R, Prezant DJ, Liu M, Nolan A. Dynamic Metabolic Risk Profiling of World Trade Center Lung Disease: A Longitudinal Cohort Study. Am J Respir Crit Care Med 2021; 204:1035-1047. [PMID: 34473012 DOI: 10.1164/rccm.202006-2617oc] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Rationale: Metabolic syndrome (MetSyn) increases the risk of World Trade Center (WTC) lung injury (LI). However, the temporal relationship of MetSyn, exposure intensity, and lung dysfunction is not well understood. Objective: To model the association of longitudinal MetSyn characteristics with WTC lung disease to define modifiable risk. Methods: Firefighters, for whom consent was obtained (N = 5,738), were active duty on September 11, 2001 (9/11). WTC-LI (n = 1,475; FEV1% predicted <lower limit of normal [LLN]) and non-WTC-LI (n = 4,263; FEV1% predicted ⩾LLN at all exams) was the primary outcome, and FVC% predicted <LLN and FEV1/FVC <0.70 were secondary outcomes. We assessed 1) the effect of concurrent MetSyn on longitudinal lung function by linear mixed models, 2) the temporal effect of MetSyn and exposure by Weibull proportional hazards, 3) the effects of MetSyn's rate of change by two-stage models, and 4) the nonlinear joint effect of longitudinal MetSyn components by a partially linear single-index model (PLSI). Measurements and Main Results: WTC-LI cases were more often ever-smokers, arrived in the morning (9/11), and had MetSyn. Body mass index ⩾30 kg/m2 and high-density lipoprotein <40 mg/dl were most contributory to concurrent loss of FEV1% predicted and FVC% predicted while conserving FEV1/FVC. Body mass index ⩾30 kg/m2 and dyslipidemia significantly predicted WTC-LI, FVC% predicted <LLN in a Weibull proportional hazards model. Dynamic risk assessment of WTC-LI on the basis of MetSyn and exposure showed how reduction of MetSyn factors further reduces WTC-LI likelihood in susceptible populations. PLSI demonstrates that MetSyn has a nonlinear relationship with WTC lung disease, and increases in cumulative MetSyn risk factors exponentially increase WTC-LI risk. An interactive metabolic-risk modeling application was developed to simplify PLSI interpretation. Conclusions: MetSyn and WTC exposure contribute to the development of lung disease. Dynamic risk assessment may be used to encourage treatment of MetSyn in susceptible populations. Future studies will focus on dietary intervention as a disease modifier.
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Affiliation(s)
- Sophia Kwon
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine
| | - Myeonggyun Lee
- Division of Biostatistics, Department of Population Health, and
| | - George Crowley
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine
| | - Theresa Schwartz
- Bureau of Health Services and Office of Medical Affairs, Fire Department of New York, Brooklyn, New York; and
| | - Rachel Zeig-Owens
- Bureau of Health Services and Office of Medical Affairs, Fire Department of New York, Brooklyn, New York; and.,Department of Epidemiology and Population Health and
| | - David J Prezant
- Bureau of Health Services and Office of Medical Affairs, Fire Department of New York, Brooklyn, New York; and.,Pulmonary Medicine Division, Department of Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York
| | - Mengling Liu
- Division of Biostatistics, Department of Population Health, and.,Department of Environmental Medicine, New York University School of Medicine, New York, New York
| | - Anna Nolan
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine.,Department of Environmental Medicine, New York University School of Medicine, New York, New York.,Bureau of Health Services and Office of Medical Affairs, Fire Department of New York, Brooklyn, New York; and
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