Literature DB >> 29317813

Association between respiratory impedance measured by forced oscillation technique and exacerbations in patients with COPD.

Hitomi Yamagami1, Akihiko Tanaka1, Yasunari Kishino1, Hatsuko Mikuni1, Tomoko Kawahara1, Shin Ohta1, Mayumi Yamamoto1, Shintaro Suzuki1, Tsukasa Ohnishi1, Hironori Sagara1.   

Abstract

Background: It is well known that increased airflow limitation as measured by spirometry is associated with the risk of exacerbation in patients with COPD. The forced oscillation technique (FOT) is a noninvasive method used to assess respiratory impedance (resistance and reactance) with minimal patient cooperation required. The clinical utility of the FOT in assessing the risk of exacerbations of COPD is yet to be determined. We examined the relationship between respiratory impedance as measured by FOT and exacerbations in patients with COPD. Materials and methods: Among 310 patients with COPD (Global Initiative for Chronic Obstructive Lung Disease stages I-IV) who presented at the outpatient clinic of the Showa University Hospital from September 2014 through January 2015, 119 were collected and assigned into 2 groups according to their history of exacerbation: exacerbators and nonexacerbators. Respiratory resistance components and respiratory reactance components, as measured by FOT, were compared between the two groups.
Results: Exacerbators were significantly older and had a higher white blood cell count than nonexacerbators. Resistance at 20 Hz, reactance at 5 Hz (X5), resonant frequency (Fres), and area of low reactance (ALX) differed significantly between the two groups. In addition, among patients with stage II COPD, there were significant differences in X5, Fres, and ALX between the two groups despite no significant differences in respiratory function as assessed by spirometry. Finally, receiver operating characteristic curve analysis revealed that the reactance components rather than the resistance components were associated with the risk of exacerbation.
Conclusion: There were significant differences in respiratory impedance between exacerbators and nonexacerbators in patients with moderate COPD. FOT is a promising tool for assessing future exacerbations in patients with COPD.

Entities:  

Keywords:  forced oscillation technique; respiratory system resistance and reactance; spirometry

Mesh:

Year:  2017        PMID: 29317813      PMCID: PMC5744737          DOI: 10.2147/COPD.S146669

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Introduction

It is increasingly recognized that exacerbation is a key event in COPD because of its significant negative impacts on patients’ quality of life and poor prognosis.1–3 It was reported that exacerbations are associated with accelerated lung function loss in patients with COPD, particularly those with mild disease.4 Many studies have reported that an increased frequency of exacerbation is associated with more severe airflow obstruction in patients with COPD.5,6 Bronchial wall thickness and total lung emphysema percentage were associated with COPD exacerbation frequency.7 The clinical symptoms of cough and sputum are associated with the frequency of exacerbation.8,9 Among clinical parameters, a history of frequent exacerbations in the previous year is the most important and independent predictor of exacerbation in the following year.9 Identification of risk factors for exacerbation of COPD is clinically important because it enables adequate precautionary measures, such as pharmacologic therapy and vaccine, in patients predisposed to COPD exacerbation. The forced oscillation technique (FOT) is a noninvasive procedure that measures lung mechanics using sinusoidal sound waves at two or three different frequencies simultaneously. FOT parameters of respiratory system resistance (Rrs) and respiratory system reactance (Xrs) were measured by the application of a sine wave of airflow to the mouth at the resonant frequency of the respiratory system according to the principle established by Fisher et al.10 Rrs components include the resistance at 5 Hz (R5), the resistance at 20 Hz (R20), and the difference between R5 and R20 (R5−R20). Xrs components include the reactance at 5 Hz (X5), the differences between inspiratory and expiratory Xrs (ΔXrs), the resonant frequency (Fres), and the area of low reactance (ALX). FOT represents an alternative modality to conventional pulmonary function tests because of its sensitivity in detecting peripheral airway obstruction. In addition, it can be performed independent of the patient’s efforts with minimal need for their cooperation.11,12 Therefore, FOT can be used in elderly patients and those with physical and cognitive limitations, and it would be helpful for these patients if FOT can detect exacerbations of COPD. The utility of FOT has been reported most frequently in relation to asthma and COPD. Respiratory impedance (Rrs and Xrs) in patients with COPD is generally correlated with Global Initiative for Chronic Obstructive Lung Disease (GOLD) staging, classified according to the degree of airway obstruction.13 Moreover, FOT can detect the pharmacologic effects of bronchodilators on small airways in patients with COPD despite an absence of change in forced expiratory volume in 1 second (FEV1).14 ΔXrs, particularly ΔX5, can be used for discrimination between COPD and asthma15,16 or for detection of expiratory flow limitation (EFL) that indicates dynamic hyperinflation in COPD.17,18 In a previous study, it was reported that increased Rrs is associated with frequent exacerbations in severe asthma.19 However, the association between respiratory impedance and exacerbations in patients with COPD has not been determined. We hypothesized that respiratory impedance as assessed by FOT is associated with the increased risk of exacerbations independently from respiratory parameters as measured by conventional spirometry in patients with COPD. To prove this hypothesis, we evaluated the relationship between respiratory impedance as measured by FOT and the risk of exacerbation in patients with COPD.

Materials and methods

Subjects and study design

This was a single-centered, retrospective case–control study. The analysis was based on data obtained from 310 patients with COPD (defined by GOLD) who presented at Showa University Hospital (Tokyo, Japan) from September 2014 through January 2015. All patients were confirmed that their FEV1/forced vital capacity ratio (FEV1/FVC) <0.7. As shown in Figure 1, we excluded some of the patients for the following reasons: 142 patients concurrently had chronic respiratory disease, 4 patients were receiving regularly oral corticosteroid therapy, and 45 patients did not undergo respiratory function testing. The remaining 119 patients fulfilled our study criteria and were assigned into 2 groups: patients who had one or more exacerbations within the past 2 years from the last visit (Exacerbators) and patients who had no exacerbations within the past 2 years from the last visit (Nonexacerbators). We defined an exacerbation as an acute event that fulfilled the following criteria:20 1) clinically significant change in baseline dyspnea, cough, and/or sputum, 2) presentation at the emergency department because of a need to receive oral corticosteroids or systemic corticosteroid therapy.
Figure 1

Flow chart of patient enrolment.

We collected data including exacerbations, age, gender, height, body weight, smoking history, blood counts, medical history, and respiratory function from the 119 patients. The white blood cell (WBC) count, absolute eosinophil count, and relative eosinophil count were determined within 5 months before enrollment. The blood counts measured when the patients had infectious diseases were excluded. FOT and spirometry were also performed when the patients were free from infectious diseases and exacerbations for at least 2 months. The study was performed in accordance with the principles of the Declaration of Helsinki. The protocol was approved by the ethics committee of Showa University School of Medicine on March 25, 2016 (No 2029), and all subjects gave their written informed consent.

FOT

Rrs and Xrs were assessed by FOT (Mostgraph-01, Chest MI, Inc., Tokyo, Japan) in all subjects. All FOT assessments were performed by skilled clinical laboratory technicians. FOT was performed before spirometry in all patients to avoid bronchospasm caused by forceful expiration and inspiration. The subjects were requested to sit down, slightly stretch their neck, wear a nose clip, and put a mouthpiece into their mouth, without leaving any space between the lips and the mouthpiece. During impedance measurements, all subjects held their cheeks firmly with their hands. The measurement was conducted three times in a row, and the best data were adopted. We accepted resting ventilation with a coherence of 0.7 or higher and excluded the value when resting ventilation was unstable with patients’ coughing, swallowing, phonation, or breath holding.11

Spirometry

Respiratory function was assessed with the use of a spirometer (CHESTAC-8900, Chest MI, Inc., Tokyo, Japan) in all subjects. The forced expiration maneuver was conducted with the subject in a standing position. Measurements were obtained in accordance with the guidelines for pulmonary function tests issued by the Japanese Respiratory Society. % predicted FVC and % predicted FEV1 were calculated with new prediction equations of FVC and FEV1 provided by the Japanese Respiratory Society in 2001.21 Each equation is shown in the following:

Statistical analyses

We performed all statistical analyses using JMP version 12 software (SAS Institute Inc., Cary, NC, USA). The statistical significance of differences in the continuous variables between the Exacerbators and Nonexacerbators was assessed according to standard statistical criteria with the use of the Wilcoxon rank sum test or Kruskal–Wallis test, and the differences in the categorical variables were analyzed using the Pearson χ2 test. The analyses of FOT parameters are adjusted for age, gender, height, and smoking status. To study the sensitivity and specificity of different parameters for the detection of exacerbations, receiver operating characteristic (ROC) curves were analyzed. The results are presented as numbers, percentages, and median (interquartile range). Two-sided P-values of <0.05 were considered to indicate statistical significance.

Results

Patients

We studied 119 patients who fulfilled the study criteria. The characteristics of the study patients are summarized in Table 1. The patients’ median age was 73.0 (67.0, 79.0) years, and 106 (89%) of them were men. Among the 119 patients, 37 (31.1%) were in Exacerbators and 82 (68.9%) were in Nonexacerbators (Figure 1). Exacerbators were significantly older (76.0 [71.0, 82.0] vs 72.5 [66.0, 79.0], P=0.029) and had a higher WBC count (6,900.0 [5,700.0, 8,800.0] vs 6,150.0 [5,100.0, 7,000.0], P=0.013) than Nonexacerbators. The proportion of patients receiving triple therapy was significantly higher in Exacerbators than in Nonexacerbators (27% vs 12%, P=0.045).
Table 1

Characteristics of the 119 patients with COPD and comparison of characteristics between exacerbators and nonexacerbators

CharacteristicsAll (n=119)Exacerbators (n=37)Nonexacerbators (n=82)P-value
Male, n (%)106 (89)33 (89)73 (89)0.979
Age, years73.0 (67.0, 79.0)76.0 (71.0, 82.0)72.5 (66.0, 79.0)0.029*
Smoking, pack per year54.0 (30.0, 86.0)55.0 (36.9, 106.5)51.3 (29.3, 82.5)0.178
Smoking, never/former/current, n4/83/321/30/63/53/260.189
BMI, kg/m222.3 (20.1, 24.7)22.4 (20.1, 25.1)22.3 (20.1, 25.1)0.774
WBC count,/μL6,300.1 (5,400.1, 7,300.1)6,900.0 (5,700.0, 8,800.0)6,150.0 (5,100.0, 7,000.0)0.013*
Eosinophil count,/μL207.3 (131.3, 324.8)188.4 (131.9, 281.1)217.7 (131.3, 331.0)0.618
% eosinophil, %3.3 (1.9, 5.2)3.0 (1.7, 4.6)3.6 (2.5, 6.5)0.231
Types of inhaled medication, n (%)
 LABA62 (52)24 (65)38 (46)0.061
 LAMA95 (80)32 (86)63 (77)0.224
 ICS27 (23)11 (30)16 (20)0.218
Number of medications, n (%)
 158 (49)13 (35)45 (55)0.046*
 231 (26)12 (32)19 (23)0.287
 320 (17)10 (27)10 (12)0.045*
Details of medications (%)
 LABA11 (9)3 (8)8 (10)0.774
 LAMA47 (39)10 (27)37 (45)0.062
 ICS0 (0)0 (0)0 (0)
 LABA/ICS5 (4)0 (0)5 (6)0.125
 LAMA/ICS2 (2)1 (3)1 (1)0.560
 LABA/LAMA26 (22)11 (30)15 (18)0.162
 LABA/LAMA/ICS20 (17)10 (27)10 (12)0.045*
 No inhaled drug8 (7)2 (5)6 (7)0.700

Notes: All values are median (interquartile range) unless otherwise stated. Exacerbator group consisted of patients experiencing one or more exacerbations within 2 years. Nonexacerbator group consisted of patients who had never experienced exacerbation within 2 years. P-values represent statistical analyses between Exacerbator and Nonexacerbator groups.

P<0.05.

Abbreviations: BMI, body mass index; ICS, inhaled corticosteroids; LABA, long-acting beta-agonists; LAMA, long-acting muscarinic antagonist; WBC, white blood cell.

Among the 119 patients, 35 (29.4%) were classified as GOLD stage I, 47 (39.5%) were as GOLD stage II, and 37 (31.1%) were as GOLD stages III and IV. Comparisons of clinical characteristics between Exacerbators and Nonexacerbators according to the subgroups are shown in Table 2. Among patients with stage II, the proportions of patients receiving inhaled corticosteroids (35% vs 10%, P=0.034) and triple therapy (29% vs 0%, P=0.002) were significantly higher in Exacerbators than in Nonexacerbators. In addition, among patients with stage III and IV, Exacerbators’ history indicated more pack-years of smoking than Nonexacerbators (80.0 [50.0, 129.0] vs 53.0 [36.8, 84.8], P=0.013). There were no other significant differences in other variables or outcomes between Exacerbators and Nonexacerbators in patients with stage I, stage II, and III and IV.
Table 2

Comparisons of characteristics between exacerbators and nonexacerbators by Global Initiative for Chronic Obstructive Lung Disease stage

CharacteristicsStage I (n=35)
Stage II (n=47)
Stage III + IV (n=37)
Exacerbators(n=5)Nonexacerbators(n=30)P-valueExacerbators(n=17)Nonexacerbators(n=30)P-valueExacerbators(n=15)Nonexacerbators(n=22)P-value
Male, n (%)4 (80)27 (90)0.51514 (82)28 (93)0.24115 (100)18 (82)0.080
Age, years78.0 (67.5, 82.5)70.0 (65.5, 79.0)0.33379.0 (71.0, 84.0)72.5 (65.8, 77.3)0.019*74.0 (68.0, 81.0)73.0 (72.0, 80.8)0.864
Smoking, pack per year82.5 (22.5, 109.0)45.5 (20.0, 66.4)0.09952.0 (17.4, 82.0)60.8 (27.6, 91.0)0.15080.0 (50.0, 129.0)53.0 (36.8, 84.8)0.013*
Smoking, never/former/current, n1/3/11/23/60.3260/15/21/17/120.0800/12/31/13/80.357
BMI, kg/m221.5 (19.5, 22.7)23.0 (20.5, 25.1)0.08924.1 (21.9, 25.2)22.9 (21.1, 25.3)0.62820.4 (16.8, 23.5)21.4 (18.1, 22.7)0.205
WBC count,/μL7,000.0 (5,850.0, 10,000.0)6,000.0 (4,900.0, 7,100.0)0.024*6,350.0 (5,400.0, 7,525.0)6,000.0 (5,100.0, 6,900.0)0.1317,400.0 (6,150.0, 9,200.0)6,300.0 (5,675.0, 7,100.0)0.423
Eosinophil count,/μL130.2 (69.6, 315.3)222.0 (131.6, 327.6)0.568197.1 (131.7, 339.6)260.4 (115.1, 339.4)0.674170.1 (140.8, 276.0)194.2 (122.8, 360.3)0.443
% eosinophil, %2.1 (0.7, 5.2)3.7 (2.3, 5.7)0.0913.5 (2.2, 5.7)3.9 (1.9, 5.6)0.9212.6 (1.6, 3.8)3.0 (2.1, 5.7)0.333
Types of medication, n (%)
 LABA3 (60)12 (40)0.40311 (65)19 (63)0.10410 (67)14 (64)0.850
 LAMA4 (80)20 (67)0.55215 (88)22 (73)0.23013 (87)21 (95)0.336
 ICS1 (20)3 (10)0.5156 (35)3 (10)0.034*4 (27)10 (45)0.247
Numbers of medication, n (%)
 13 (60)18 (60)1.0005 (24)19 (63)0.025*5 (33)8 (36)0.850
 21 (20)5 (17)0.8556 (35)9 (30)0.7085 (33)5 (23)0.476
 31 (20)1 (3)0.1375 (29)0 (0)0.002*4 (27)9 (41)0.373
Details of medication, n (%)
 LABA1 (20)4 (13)0.6931 (6)4 (13)0.4261 (7)0 (0)0.220
 LAMA2 (40)14 (47)0.7824 (24)15 (50)0.0764 (27)8 (36)0.536
 ICS0 (0)0 (0)0 (0)0 (0)0 (0)0 (0)
 LABA/ICS0 (0)2 (7)0.5520 (0)2 (7)0.2770 (0)1 (5)0.403
 LAMA/ICS0 (0)0 (0)1 (6)1 (3)0.6770 (0)0 (0)
 LABA/LAMA1 (20)5 (17)0.8555 (29)6 (20)0.4645 (33)4 (18)0.292
 LABA/LAMA/ICS1 (20)1 (3)0.1375 (29)0 (0)0.002*4 (27)9 (41)0.373
 No medication0 (0)4 (13)0.3861 (6)2 (7)0.9161 (7)0 (0)0.220

Notes: All values are median (interquartile range) unless otherwise stated. Exacerbator group consisted of patients experiencing one or more exacerbations within 2 years. Nonexacerbator group consisted of patients who had never experienced exacerbation within 2 years. P-values represent statistical analyses between Exacerbator and Nonexacerbator groups.

P<0.05.

Abbreviations: BMI, body mass index; ICS, inhaled corticosteroids; LABA, long-acting beta-agonists; LAMA, long-acting muscarinic antagonist; WBC, white blood cell.

Spirometry and FOT measurements

Comparisons of spirometry data and FOT parameters between the three groups classified by severity are shown in Table S1. There were significant differences in all parameters obtained by spirometry and FOT between the groups. Table 3 shows the comparison of the parameters obtained by spirometry and FOT between Exacerbators and Nonexacerbators. Exacerbators had significantly lower % predicted FVC (85.8 [73.8, 97.1] vs 99.2 [86.8, 109.7], P=0.049), % predicted FEV1 (58.1 [37.3, 70.0] vs 67.7 [48.2, 87.6], P=0.008), and FEV1/FVC (44.9 [37.6, 62.2] vs 56.3 [42.0, 69.5], P=0.006) than Nonexacerbators. Rrs and Xrs were measured by whole-breath analysis with the use of FOT and compared between Exacerbators and Nonexacerbators. Regarding Rrs parameters, we found significant differences in R20 (2.88 [2.33, 3.50] vs 2.39 [1.95, 3.02], P=0.028) between Exacerbators and Nonexacerbators. There were also significant differences in the Xrs parameters: X5 (−2.18 [−3.21, −0.94] vs −0.69 [−2.12, −0.30], P=0.024), Fres (15.60 [10.72, 18.96] vs 9.50 [6.82, 15.59], P=0.004), and ALX (15.99 [4.20, 27.83] vs 3.58 [1.19, 16.61], P=0.008) between the two groups. Meanwhile, there were no significant differences in R5−R20 and ΔX5 between the two groups. We also compared Rrs and Xrs between the two groups by subgroup of disease severity, and the results are shown in Table 4. We found that among patients with stage II COPD, there were significant differences in X5 (−1.33 [−3.21, −0.76] vs −0.73 [−1.30, −0.35], P=0.017), Fres (13.59 [9.83, 16.76] vs 9.44 [6.82, 12.02], P=0.042), and ALX (7.29 [3.36, 22.66] vs 2.94 [1.21, 6.87], P=0.021) between the two groups despite no significant differences in parameters measured with the use of spirometry.
Table 3

Comparisons of parameters measured by spirometry and FOT between exacerbators and nonexacerbators

ParametersAll (n=119)Exacerbators (n=37)Nonexacerbators (n=82)P-value
Spirometry
 % predicted FVC95.5 (81.7, 109.0)85.8 (73.8, 97.1)99.2 (86.8, 109.7)0.049*
 % predicted FEV164.5 (44.6, 80.8)58.1 (37.3, 70.0)67.7 (48.2, 87.6)0.008*
 FEV1/FVC, %55.0 (41.7, 66.5)44.9 (37.6, 62.2)56.3 (42.0, 69.5)0.006*
FOT/resistance (R)
 R5, kPa·L−1·s−13.48 (2.77, 4.44)3.96 (3.00, 4.79)3.41 (2.59, 4.16)0.349
 R20, kPa·L−1·s−12.58 (2.02, 3.17)2.88 (2.33, 3.50)2.39 (1.95, 3.02)0.028*
 R5–R20, kPa·L−1·s−10.90 (0.49, 1.30)1.16 (0.51, 1.57)0.77 (0.49, 1.25)0.821
FOT/reactance (X)
 X5, kPa·L−1·s−1−0.96 (−2.58, −0.37)−2.18 (−3.21, −0.94)−0.69 (−2.12, −0.30)0.024*
 Fres, Hz11.2 (7.61, 17.0)15.60 (10.72, 18.96)9.50 (6.82, 15.59)0.004*
 ALX, kPa·L−14.72 (1.41, 20.18)15.99 (4.20, 27.83)3.58 (1.19, 16.61)0.008*
 ΔX5, kPa·L−1·s−1−0.34 (−1.71, 0.16)−1.08 (−2.12, 0.11)−0.06 (−1.10, −0.17)0.520

Notes: All values are median (interquartile range). Exacerbator group consisted of patients experiencing one or more exacerbations within 2 years. Nonexacerbator group consisted of patients who had never experienced exacerbation within 2 years. P-values represent statistical analyses between Exacerbator and Nonexacerbator groups. The analyses of FOT parameters are adjusted for age, gender, height, and smoking status.

P<0.05.

Abbreviations: FOT, forced oscillation technique; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; R5, resistance at 5 Hz; R20, resistance at 20 Hz; R5–R20, difference between R5 and R20; X5, reactance at 5 Hz; Fres, resonant frequency; ALX, reactance area; ΔX5, difference between inspiratory and expiratory respiratory system reactance.

Table 4

Comparisons of parameters measured by spirometry and FOT between exacerbators and nonexacerbators by Global Initiative for Chronic Obstructive Lung Disease stage

ParametersStage I (n=35)
Stage II (n=47)
Stage III + IV (n=37)
Exacerbators (n=5)Nonexacerbators (n=30)P-valueExacerbators (n=17)Nonexacerbators (n=30)P-valueExacerbators (n=15)Nonexacerbators (n=22)P-value
Spirometry
 % predicted FVC111.5 (82.0, 118.4)110.0 (99.1, 114.6)0.37089.9 (85.2, 96.4)97.7 (86.4, 109.0)0.96573.8 (66.8, 87.4)82.1 (62.2, 96.5)0.734
 % predicted FEV181.1 (80.5, 93.6)89.5 (85.9, 95.5)0.18765.1 (58.4, 69.9)65.1 (57.6, 71.6)0.94735.1 (26.2, 42.2)41.2 (31.8, 44.9)0.210
 FEV1/FVC, %65.6 (62.2, 70.3)69.7 (62.6, 75.9)0.81455.3 (44.2, 66.0)54.9 (51.6, 62.4)0.15736.5 (31.1, 42.0)36.7 (32.3, 42.3)0.567
FOT/resistance (R)
 R5, kPa·L−1·s−12.96 (2.18, 3.40)2.84 (1.98, 3.84)0.4173.77 (2.73, 5.31)3.32 (2.64, 3.76)0.3564.19 (3.96, 4.75)4.27 (3.34, 5.16)0.794
 R20, kPa·L−1·s−12.42 (1.41, 2.80)2.00 (1.57, 2.53)0.7432.78 (2.08, 4.02)2.51 (2.08, 2.85)0.3903.08 (2.70, 3.50)3.25 (2.25, 3.97)0.926
 R5–R20, kPa·L−1·s−10.48 (0.40, 1.01)0.57 (0.35, 1.11)0.3461.16 (0.51, 1.57)0.66 (0.48, 1.07)0.9641.27 (0.91, 1.69)1.10 (0.81, 1.33)0.740
FOT/reactance (X)
 X5, kPa·L−1·s−1−0.40 (−1.33, −0.06)−0.36 (−0.67, −0.15)0.938−1.33 (−3.21, −0.76)−0.73 (−1.30, −0.35)0.017*−3.00 (−3.77, −2.33)−2.61 (−4.65, −1.06)0.831
 Fres, Hz7.21 (5.37, 13.07)7.18 (5.81, 9.64)0.73213.59 (9.83, 16.76)9.44 (6.82, 12.02)0.042*19.77 (16.12, 22.23)18.78 (12.24, 21.31)0.594
 ALX, kPa·L−12.89 (0.84, 8.97)1.25 (0.61, 4.72)0.9397.29 (3.36, 22.66)2.94 (1.21, 6.87)0.021*21.48 (16.50, 28.99)22.93 (0.32, 40.28)0.418
 ΔX5, kPa·L−1·s−10.17 (−0.34, 0.40)0.06 (−0.38, 0.23)0.359−0.88 (−3.50, 0.20)0.01 (−0.45, 0.19)0.064−1.71 (−2.22, −1.16)−2.13 (−5.88, −0.29)0.304

Notes: All values are median (interquartile range) unless otherwise stated. Exacerbator group: consisted of patients experiencing one or more exacerbations within 2 years. Nonexacerbator group: consisted of patients who had never experienced exacerbation within 2 years. P-values represent statistical analyses between Exacerbator and Nonexacerbator groups. The analyses of FOT parameters are adjusted for age, gender, height, and smoking status.

P<0.05.

Abbreviations: FOT, forced oscillation technique; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; R5, resistance at 5 Hz; R20, resistance at 20 Hz; R5–R20, difference between R5 and R20; X5, reactance at 5 Hz; Fres, resonant frequency; ALX, reactance area; ΔX5, difference between inspiratory and expiratory respiratory system reactance.

Predictive values of FOT parameters

Finally, we performed an ROC curve analysis for spirometry data and FOT parameters to identify exacerbations in all 119 patients with COPD (Figure 2). % predicted FVC, % predicted FEV1, and FEV1/FVC yielded high area under the curve (AUC) values of 0.66, 0.65, and 0.61, respectively. Also, X5, Fres, and ALX yielded high AUC values of 0.70, 0.69, and 0.68, respectively, indicating that Xrs is more closely associated with future exacerbations than Rrs. The accuracy of spirometry data and FOT parameters is shown in Table 5. The most closely associated parameter with exacerbations was X5, for which the optimum cutoff point was −0.875 kPa·L−1·s−1 with 81.1% sensitivity and 59.8% specificity. The optimum cutoff points for % predicted FVC, % predicted FEV1, FEV1/FVC, Fres, and ALX were 94.7%, 81.1%, 50.5%, 13.585 Hz, and 4.03 kPa·L−1·s−1, respectively.
Figure 2

ROC curve of spirometry and FOT parameters for identification of exacerbations in 119 patients with COPD.

Notes: ROC curve of % predicted FVC (A), % predicted FEV1 (B), FEV1/FVC (C), R5 (D), R20 (E), R5–R20 (F), X5 (G), Fres (H), and ALX (I) with the presence of exacerbation are shown. High AUC of all parameters of FOT to identify exacerbations were observed.

Abbreviations: ALX, reactance area; AUC, area under the curve; FEV1, forced expiratory volume in 1 second; FOT, forced oscillation technique; Fres, resonant frequency; FVC, forced vital capacity; ROC, Receiver operating characteristic; R5, resistance at 5 Hz; R20, resistance at 20 Hz; R5–R20, differences between R5 and R20; ΔX5, difference between inspiratory and expiratory respiratory system reactance; X5, reactance at 5 Hz.

Table 5

Accuracy of parameters measured by spirometry and FOT for identification of the risk of exacerbations in 119 patients with COPD

ParametersCutoff value (kPa·L−1·s−1)AUCSensitivity (%)Specificity (%)
Spirometry
 % predicted FVC94.70.6675.763.4
 % predicted FEV181.10.6594.630.5
 FEV1/FVC, %50.50.6159.568.3
FOT/resistance (R)
 R5, kPa·L−1·s−13.520.6367.658.5
 R20, kPa·L−1·s−12.420.6472.951.2
 R5–R20, kPa·L−1·s−11.110.5956.868.9
FOT/reactance (X)
 X5, kPa·L−1·s−1−0.8750.7081.159.8
 Fres, Hz13.5850.6967.674.4
 ALX, kPa·L−14.030.6883.355.8
 ΔX5, kPa·L−1·s−1−0.550.6167.669.5

Abbreviations: AUC, area under the curve; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; FOT, forced oscillation technique; R5, resistance at 5 Hz; R20, resistance at 20 Hz; R5–R20, difference between R5 and R20; X5, reactance at 5 Hz; Fres, resonant frequency; ALX, reactance area; ΔX5, difference between inspiratory and expiratory respiratory system reactance.

Discussion

Exacerbation is a key event in COPD because it accelerates lung function loss and decreases patients’ quality of life.1–3 The present study showed the differences in respiratory impedance between Exacerbators and Nonexacerbators in patients with COPD as measured by FOT. The values of R20, Fres, and ALX were higher in Exacerbators than in Nonexacerbators, while that of X5 was lower. To our knowledge, this is the first study to demonstrate differences in FOT parameters between Exacerbators and Nonexacerbators in patients with COPD. The frequency of COPD exacerbation generally depends on the disease severity, classified as airflow limitation measured by the use of conventional spirometry. In the present study, lower pulmonary function as assessed by FVC and FEV1, older age, and higher WBC count were associated with exacerbations in patients with COPD. In line with our results, the ECLIPSE study demonstrated that disease severity and an elevated WBC count were associated exacerbations in patients with COPD; in addition, prior exacerbations, a history of gastroesophageal reflux, symptoms of heartburn, and a poorer quality of life were also found to be determinants of exacerbations.22 In particular, a history of exacerbations in the preceding year was the best determinant of exacerbations. In the present study, we demonstrated the possibility of FOT as a novel and objective indicator for the detection of exacerbation in COPD, representing a viable alternative to spirometry. Intriguingly, Gonem et al reported that, in patients with severe asthma, airway constriction as measured by FOT was associated with an exacerbation-prone phenotype.19 Recently, the importance of identifying patients with mild airway obstruction, such as those classified as GOLD stages I and II, has been recognized because of potential future impairment of their health status.23 In addition, the Genetic Epidemiology of COPD study introduced novel evidence that exacerbations accelerate lung function loss in patients with COPD, particularly in those with mild disease.3 Our study showed that among the subgroup of patients with stage II COPD, there were significant differences in FOT parameters between Exacerbators and Nonexacerbators despite no significant difference in respiratory function as measured by spirometry. This indicates that FOT can discriminate an exacerbation-prone phenotype among patients with the same grade of mild severity. We believe that this is the key findings of our study. FOT has been reported to be more sensitive than spirometry in detecting COPD and in assessing the effects of bronchodilators.24,25 However, our findings do indicate the utility of FOT but do not necessarily confirm its superiority over conventional spirometry in assessing exacerbation in patients with COPD. Dellacà et al reported that ΔXrs can be used to detect the presence of EFL, which is a characteristic feature in patients with moderate-to-severe COPD with dynamic hyperinflation and the loss of lung elastic recoil.17 Previous studies reported that EFL is associated with certain symptoms, especially dyspnea, and with exacerbations of COPD.26,27 In the present study, it was shown that ΔX5 was reduced more in Exacerbators than in Nonexacerbators, among all patients and among those with stage II COPD, but without statistical differences. Thus, the presence of EFL may not be associated with the ability of FOT to discriminate between Exacerbators and Nonexacerbators in patients with stage II COPD. Xrs is supposed to reflect the compliance and inertial properties of the respiratory system; changes in Xrs in pulmonary disease are dominated by respiratory compliance but not inertial properties.28 Compliance is primarily associated with the lung periphery. A study conducted by Borrill et al showed that changes in X5 and Fres induced by the administration of bronchodilators were related to small airway bronchodilation, causing a reduction in hyperinflation and improvement in lung compliance.29 Therefore, slight perturbations of the small airways might have resulted in differences in Xrs between Exacerbators and Nonexacerbators in patients with stage II COPD, despite no significant differences in respiratory function as measured by spirometry. However, the reason why FOT discriminated between Exacerbators and Nonexacerbators in this study has not fully been elucidated. In the present study, Xrs values became more negative in patients with higher GOLD staging. This is consistent with a previous study conducted by Di Mango et al.30 They also reported that Xrs was useful in assessing airway obstruction in patients with more advanced COPD. Our study did not show any clinical utility of FOT in discriminating between Exacerbators and Nonexacerbators in patients with severe COPD. In this study, ROC curve analysis showed that AUC values were higher in Xrs, particularly X5 and Fres, than in Rrs, indicating that Xrs is more closely associated with exacerbation-prone phenotype of COPD than Rrs. In accordance with our results, Stevenson et al reported that there was a significant improvement in X5 but not in R5 during recovery from exacerbation of COPD.31 In addition, previous studies showed that Xrs was more effective than Rrs in the assessment of degree of airflow limitation and air trapping in patients with COPD.13,32 Previous studies showed significant correlations between FOT parameters and respiratory function as measured by spirometry in patients with geriatric COPD.13,32 Therefore, FOT, rather than spirometry, can be used to assess airway obstruction in patients who have difficulty with forced expiration. FOT is a useful tool in diagnosing COPD, evaluating disease severity, formulating prognosis, and evaluating response to therapy, similar to spirometry. Amaral et al recently introduced automatic classifiers to simplify the clinical use and increase the accuracy of FOT in the categorization of airway obstruction level in patients with COPD.33 Such new devices may enable clinicians to categorize COPD airway obstruction, track disease progression, evaluate the risk of future disease exacerbations, and guide therapy more easily. Our study has some limitations. First, we could not exclude the influence of patients with asthmaCOPD overlap (ACO), although patients who had evident asthmatic components, such as airway hyper-responsiveness, were excluded. Studies have shown that patients with ACO have more frequent exacerbations than those with COPD only.34,35 However, at present, there is no definition or basis for excluding a patient with ACO. Second, we found no difference in respiratory impedance between Exacerbators and Nonexacerbators among patients with stage III and IV COPD. Although it cannot be concluded whether FOT can discriminate an exacerbation-prone phenotype among patients with severe COPD, it may be superior in discriminating an exacerbation-prone phenotype in patients with nonsevere COPD compared to those with severe COPD. Third, this was a single-centered retrospective study and the sample size was relatively small. Therefore, we cannot conclude whether FOT parameters can predict exacerbations of COPD in clinical practice, particularly in patients with moderate COPD. For this confirmation, prospective studies including a greater number of subjects are necessary to verify our results.

Conclusion

We found significant differences in FOT parameters between Exacerbators and Nonexacerbators, despite no significant differences in respiratory function as measured by spirometry among patients with stage II COPD. FOT can aid therapeutic intervention aimed at the avoidance of COPD exacerbation. Prospective studies are required to further explore the utility of FOT, such as its superiority to spirometry, in patients with COPD. Comparisons of parameters measured by spirometry and FOT between the Global Initiative for Chronic Obstructive Lung Disease stages Notes: All values are median (interquartile range) unless otherwise stated. P-values represent comparisons between three groups. The analyses of FOT parameters are adjusted for age, gender, height, and smoking status. P<0.05. Abbreviations: FOT, forced oscillation technique; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; R5, resistance at 5 Hz; R20, resistance at 20 Hz; R5–R20, difference between R5 and R20; X5, reactance at 5 Hz; Fres, resonant frequency; ALX, reactance area; ΔX5, difference between inspiratory and expiratory respiratory system reactance.
Table S1

Comparisons of parameters measured by spirometry and FOT between the Global Initiative for Chronic Obstructive Lung Disease stages

ParametersStage I (n=34)Stage II (n=45)Stage III + IV (n=31)P-value
Spirometry
 % predicted FVC110.1 (98.9, 115.7)93.0 (85.4, 107.5)77.5 (66.7, 95.2)<0.001*
 % predicted FEV189.1 (84.3, 94.2)65.1 (58.1, 70.7)36.1 (27.9, 43.3)<0.001*
 FEV1/FVC, %68.1 (62.7, 75.8)54.9 (45.5, 64.6)36.5 (31.4, 42.0)<0.001*
FOT/resistance (R)
 R5, kPa·L−1·s−12.86 (2.00, 3.64)3.37 (2.68, 4.14)4.19 (3.75, 4.86)<0.001*
 R20, kPa·L−1·s−12.02 (1.50, 2.48)2.52 (2.08, 3.12)3.17 (2.68, 3.75)<0.001*
 R5–R20, kPa·L−1·s−10.57 (0.36, 1.08)0.75 (0.49, 1.30)1.18 (0.85, 1.59)0.003*
FOT/reactance (X)
 X5, kPa·L−1·s−1−0.37 (−0.71, −0.16)−0.87 (−1.75, −0.40)−2.74 (−4.43, −1.89)<0.001*
 Fres, Hz7.21 (5.84, 10.58)10.32 (7.66, 14.44)19.71 (15.57, 21.39)<0.001*
 ALX, kPa·L−11.28 (0.61, 4.72)4.02 (1.48, 12.41)22.32 (13.26, 35.20)<0.001*
 ΔX5, kPa·L−1·s−1−0.07 (−0.34, 0.23)−0.10 (−0.90, 0.18)−1.92 (−4.04, −0.53)<0.001*

Notes: All values are median (interquartile range) unless otherwise stated. P-values represent comparisons between three groups. The analyses of FOT parameters are adjusted for age, gender, height, and smoking status.

P<0.05.

Abbreviations: FOT, forced oscillation technique; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; R5, resistance at 5 Hz; R20, resistance at 20 Hz; R5–R20, difference between R5 and R20; X5, reactance at 5 Hz; Fres, resonant frequency; ALX, reactance area; ΔX5, difference between inspiratory and expiratory respiratory system reactance.

  34 in total

1.  Colored 3-dimensional analyses of respiratory resistance and reactance in COPD and asthma.

Authors:  Kazutaka Mori; Toshihiro Shirai; Masashi Mikamo; Yuichiro Shishido; Takefumi Akita; Satoru Morita; Kazuhiro Asada; Masato Fujii; Takafumi Suda; Kingo Chida
Journal:  COPD       Date:  2011-12       Impact factor: 2.409

2.  Airway impedance entropy and exacerbations in severe asthma.

Authors:  Sherif Gonem; Imraan Umar; Daniel Burke; Dhananjay Desai; Steven Corkill; John Owers-Bradley; Christopher E Brightling; Salman Siddiqui
Journal:  Eur Respir J       Date:  2012-03-09       Impact factor: 16.671

Review 3.  Clinical applications of forced oscillation to assess peripheral airway function.

Authors:  Michael D Goldman; Constantine Saadeh; David Ross
Journal:  Respir Physiol Neurobiol       Date:  2005-08-25       Impact factor: 1.931

4.  Severe acute exacerbations and mortality in patients with chronic obstructive pulmonary disease.

Authors:  J J Soler-Cataluña; M A Martínez-García; P Román Sánchez; E Salcedo; M Navarro; R Ochando
Journal:  Thorax       Date:  2005-07-29       Impact factor: 9.139

5.  A comparison of plethysmography, spirometry and oscillometry for assessing the pulmonary effects of inhaled ipratropium bromide in healthy subjects and patients with asthma.

Authors:  C M Houghton; A A Woodcock; D Singh
Journal:  Br J Clin Pharmacol       Date:  2005-02       Impact factor: 4.335

6.  Impulse oscillometry in COPD: identification of measurements related to airway obstruction, airway conductance and lung volumes.

Authors:  Umme Kolsum; Zoë Borrill; Kay Roy; Cerys Starkey; Jørgen Vestbo; Catherine Houghton; Dave Singh
Journal:  Respir Med       Date:  2008-08-28       Impact factor: 3.415

7.  Evaluation of the forced oscillation technique for the determination of resistance to breathing.

Authors:  A B Fisher; A B DuBois; R W Hyde
Journal:  J Clin Invest       Date:  1968-09       Impact factor: 14.808

Review 8.  Clinical characteristics of the asthma-COPD overlap syndrome--a systematic review.

Authors:  Mia Nielsen; Camilla Boslev Bårnes; Charlotte Suppli Ulrik
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2015-07-27

9.  Independent effect of prior exacerbation frequency and disease severity on the risk of future exacerbations of COPD: a retrospective cohort study.

Authors:  Miguel Santibañez Margüello; Roberto Garrastazu; Mario Ruiz-Nuñez; Jose Manuel Helguera; Sandra Arenal; Cristina Bonnardeux; Carlos León; Marc Miravitlles; Juan Luis García-Rivero
Journal:  NPJ Prim Care Respir Med       Date:  2016-09-08       Impact factor: 2.871

10.  Measuring lung function using sound waves: role of the forced oscillation technique and impulse oscillometry system.

Authors:  Bill Brashier; Sundeep Salvi
Journal:  Breathe (Sheff)       Date:  2015-03
View more
  6 in total

Review 1.  Pulmonary function testing in COPD: looking beyond the curtain of FEV1.

Authors:  Sotirios Kakavas; Ourania S Kotsiou; Fotis Perlikos; Maria Mermiri; Georgios Mavrovounis; Konstantinos Gourgoulianis; Ioannis Pantazopoulos
Journal:  NPJ Prim Care Respir Med       Date:  2021-05-07       Impact factor: 2.871

2.  Smart Vest for Respiratory Rate Monitoring of COPD Patients Based on Non-Contact Capacitive Sensing.

Authors:  David Naranjo-Hernández; Alejandro Talaminos-Barroso; Javier Reina-Tosina; Laura M Roa; Gerardo Barbarov-Rostan; Pilar Cejudo-Ramos; Eduardo Márquez-Martín; Francisco Ortega-Ruiz
Journal:  Sensors (Basel)       Date:  2018-07-03       Impact factor: 3.576

3.  I Say IOS You Say AOS: Comparative Bias in Respiratory Impedance Measurements.

Authors:  Chris RuiWen Kuo; Sunny Jabbal; Brian Lipworth
Journal:  Lung       Date:  2019-07-04       Impact factor: 2.584

4.  Application Value of Broadband 3-Dimensional Impulse Oscillometry in COPD.

Authors:  Zhonghao Tang; Minjing Li; Guokun Chu; Yan Mou; Qi Chen; Huili Zhu
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2021-02-04

5.  The clinical utility of forced oscillation technique during hospitalisation in patients with exacerbation of COPD.

Authors:  Jaber S Alqahtani; Ahmad M Al Rajeh; Abdulelah M Aldhahir; Yousef S Aldabayan; John R Hurst; Swapna Mandal
Journal:  ERJ Open Res       Date:  2021-12-20

6.  Acute exacerbations of chronic obstructive pulmonary disease: in search of diagnostic biomarkers and treatable traits.

Authors:  Alexander G Mathioudakis; Wim Janssens; Pradeesh Sivapalan; Aran Singanayagam; Mark T Dransfield; Jens-Ulrik Stæhr Jensen; Jørgen Vestbo
Journal:  Thorax       Date:  2020-03-26       Impact factor: 9.139

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.