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Kostorz-Nosal S, Jastrzębski D, Błach A, Skoczyński S. Window of opportunity for respiratory oscillometry: A review of recent research. Respir Physiol Neurobiol 2023; 316:104135. [PMID: 37536553 DOI: 10.1016/j.resp.2023.104135] [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: 05/31/2023] [Revised: 07/19/2023] [Accepted: 07/30/2023] [Indexed: 08/05/2023]
Abstract
Oscillometry has been around for almost 70 years, but there are still many unknowns. The test is performed during tidal breathing and is therefore free from patient-dependent factors that could influence the results. The Forced Oscillation Technique (FOT), which requires minimal patient cooperation, is gaining ground, particularly with elderly patients and children. In pulmonology, it is a valuable tool for assessing obstructive conditions (with a distinction between central and peripheral obstruction) and restrictive disorders (intrapulmonary and extrapulmonary). Its sensitivity allows the assessment of bronchodilator and bronchoconstrictor responses. Different lung diseases show different patterns of changes in FOT, especially studied in asthma and chronic obstructive pulmonary disease. Because of these differences, many studies have analysed the usefulness of this technique in different areas of medicine. In this paper, the authors would like to present the basics of oscillometry with the areas of its most recent clinical applications.
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Affiliation(s)
- Sabina Kostorz-Nosal
- Department of Lung Diseases and Tuberculosis, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, 41-803 Zabrze, Poland.
| | - Dariusz Jastrzębski
- Department of Lung Diseases and Tuberculosis, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, 41-803 Zabrze, Poland
| | - Anna Błach
- Department of Cardiology and Structural Heart Diseases, Medical University of Silesia, Katowice, Poland
| | - Szymon Skoczyński
- Department of Lung Diseases and Tuberculosis, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, 41-803 Zabrze, Poland
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Giraldo AMM, Cadavid LFG, Rosas DB, Quintero ET, Maldonado-Franco A, Murcia HCA, Suárez CEA, Cely LMM, Bastidas AR. Comparison of New Spirometry Measures to Diagnose COPD. Respir Care 2023; 68:366-373. [PMID: 36414276 PMCID: PMC10027157 DOI: 10.4187/respcare.10191] [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] [Indexed: 11/23/2022]
Abstract
BACKGROUND COPD is diagnosed by using FEV1/FVC, which has limitations as a diagnostic test. We assessed the validity of several measures derived from the expiratory phase of the flow-volume curve obtained from spirometry to diagnose COPD: the slopes that correspond to the volume expired after the 50% and 75% of the FVC, the slope formed between the peak expiratory flow (PEF) and the FVC, and the area under the expiratory flow/volume curve. METHODS We conducted a cross-sectional diagnostic test study in 765 consecutive subjects referred for spirometry because of respiratory symptoms. We compared the reproducibility and accuracy of the proposed measures against post-bronchodilator FEV1/FVC < 0.70. We also evaluated the proportion of respiratory symptoms for the FEV1/FVC, FEV1 per FEV in the first 6 s (FEV6), and the PEF slope. RESULTS The subjects had a mean age of 65.8 y, 57% were women, and 35% had COPD. The test-retest intraclass correlation coefficient values were 0.89, 0.85, and 0.83 for FEV1/FVC, FEV1/FEV6, and the PEF slope, respectively. The area under the curve values were 0.93 (expiratory flow/volume), 0.96 (potential expiratory flow/volume), 0.97 (potential expiratory flow/volume at 75% of FVC), and 0.82 (potential expiratory flow/volume at 50% of FVC). The area under the receiver operating characteristic curve was 0.99 for FEV1/FEV6, 0.99 for the slope at 50% of the FVC, and 0.98 for the PEF slope. CONCLUSIONS The FEV1/FEV6, PEF slope, and 50% FVC slopes had similar diagnostic performances compared with FEV1/FVC.
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Affiliation(s)
| | - Luis F Giraldo Cadavid
- School of Medicine, Universidad de La Sabana, Chía, Colombia
- Interventional Pulmonology, Fundación Neumológica colombiana, Bogotá, Colombia
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Grunig G, Durmus N, Zhang Y, Lu Y, Pehlivan S, Wang Y, Doo K, Cotrina-Vidal ML, Goldring R, Berger KI, Liu M, Shao Y, Reibman J. Molecular Clustering Analysis of Blood Biomarkers in World Trade Center Exposed Community Members with Persistent Lower Respiratory Symptoms. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:8102. [PMID: 35805759 PMCID: PMC9266229 DOI: 10.3390/ijerph19138102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/25/2022] [Accepted: 06/29/2022] [Indexed: 11/30/2022]
Abstract
The destruction of the World Trade Center (WTC) on September 11, 2001 (9/11) released large amounts of toxic dusts and fumes into the air that exposed many community members who lived and/or worked in the local area. Many community members, defined as WTC survivors by the federal government, developed lower respiratory symptoms (LRS). We previously reported the persistence of these symptoms in patients with normal spirometry despite treatment with inhaled corticosteroids and/or long-acting bronchodilators. This report expands upon our study of this group with the goal to identify molecular markers associated with exposure and heterogeneity in WTC survivors with LRS using a selected plasma biomarker approach. Samples from WTC survivors with LRS (n = 73, WTCS) and samples from healthy control participants of the NYU Bellevue Asthma Registry (NYUBAR, n = 55) were compared. WTCS provided information regarding WTC dust exposure intensity. Hierarchical clustering of the linear biomarker data identified two clusters within WTCS and two clusters within NYUBAR controls. Comparison of the WTCS clusters showed that one cluster had significantly increased levels of circulating matrix metalloproteinases (MMP1, 2, 3, 8, 12, 13), soluble inflammatory receptors (receptor for advanced glycation end-products-RAGE, Interleukin-1 receptor antagonist (IL-1RA), suppression of tumorigenicity (ST)2, triggering receptor expressed on myeloid cells (TREM)1, IL-6Ra, tumor necrosis factor (TNF)RI, TNFRII), and chemokines (IL-8, CC chemokine ligand- CCL17). Furthermore, this WTCS cluster was associated with WTC exposure variables, ash at work, and the participant category workers; but not with the exposure variable WTC dust cloud at 9/11. A comparison of WTC exposure categorial variables identified that chemokines (CCL17, CCL11), circulating receptors (RAGE, TREM1), MMPs (MMP3, MMP12), and vascular markers (Angiogenin, vascular cell adhesion molecule-VCAM1) significantly increased in the more exposed groups. Circulating biomarkers of remodeling and inflammation identified clusters within WTCS and were associated with WTC exposure.
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Affiliation(s)
- Gabriele Grunig
- Department of Environmental Medicine, New York University Grossman School of Medicine, New York, NY 10010, USA
- Division of Pulmonary Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA; (N.D.); (S.P.); (M.L.C.-V.); (R.G.); (K.I.B.)
| | - Nedim Durmus
- Division of Pulmonary Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA; (N.D.); (S.P.); (M.L.C.-V.); (R.G.); (K.I.B.)
- World Trade Center Environmental Health Center, NYC Health + Hospitals, New York, NY 10016, USA; (Y.Z.); (Y.L.); (Y.W.); (M.L.)
| | - Yian Zhang
- World Trade Center Environmental Health Center, NYC Health + Hospitals, New York, NY 10016, USA; (Y.Z.); (Y.L.); (Y.W.); (M.L.)
- Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Yuting Lu
- World Trade Center Environmental Health Center, NYC Health + Hospitals, New York, NY 10016, USA; (Y.Z.); (Y.L.); (Y.W.); (M.L.)
- Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Sultan Pehlivan
- Division of Pulmonary Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA; (N.D.); (S.P.); (M.L.C.-V.); (R.G.); (K.I.B.)
| | - Yuyan Wang
- World Trade Center Environmental Health Center, NYC Health + Hospitals, New York, NY 10016, USA; (Y.Z.); (Y.L.); (Y.W.); (M.L.)
- Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Kathleen Doo
- Pulmonary, Kaiser Permanente East Bay, Oakland, CA 94611, USA;
| | - Maria L. Cotrina-Vidal
- Division of Pulmonary Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA; (N.D.); (S.P.); (M.L.C.-V.); (R.G.); (K.I.B.)
| | - Roberta Goldring
- Division of Pulmonary Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA; (N.D.); (S.P.); (M.L.C.-V.); (R.G.); (K.I.B.)
| | - Kenneth I. Berger
- Division of Pulmonary Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA; (N.D.); (S.P.); (M.L.C.-V.); (R.G.); (K.I.B.)
| | - Mengling Liu
- World Trade Center Environmental Health Center, NYC Health + Hospitals, New York, NY 10016, USA; (Y.Z.); (Y.L.); (Y.W.); (M.L.)
- Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Yongzhao Shao
- Department of Environmental Medicine, New York University Grossman School of Medicine, New York, NY 10010, USA
- World Trade Center Environmental Health Center, NYC Health + Hospitals, New York, NY 10016, USA; (Y.Z.); (Y.L.); (Y.W.); (M.L.)
- Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Joan Reibman
- Department of Environmental Medicine, New York University Grossman School of Medicine, New York, NY 10010, USA
- Division of Pulmonary Medicine, Department of Medicine, New York University Grossman School of Medicine, New York, NY 10016, USA; (N.D.); (S.P.); (M.L.C.-V.); (R.G.); (K.I.B.)
- World Trade Center Environmental Health Center, NYC Health + Hospitals, New York, NY 10016, USA; (Y.Z.); (Y.L.); (Y.W.); (M.L.)
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