Literature DB >> 31819409

Critical Inhaler Handling Error Is an Independent Risk Factor for Frequent Exacerbations of Chronic Obstructive Pulmonary Disease: Interim Results of a Single Center Prospective Study.

June Hong Ahn1, Jin Hong Chung1, Kyeong-Cheol Shin1, Eun Young Choi1, Hyun Jung Jin1, Mi Suk Lee1, Mi Jeong Nam1, Kwan Ho Lee1.   

Abstract

Objective: Chronic obstructive pulmonary disease (COPD) acute exacerbations are significant causes of morbidity and mortality. "Frequent exacerbator" phenotypes are considered a distinct subgroup and this phenotype has a negative effect on lung function, quality of life, activity, hospital admission, and mortality. We assess inhaler handling technique and adherence, and evaluate risk factors associated with frequent exacerbations in COPD patients.
Methods: This study was a cross-sectional, case-control study. We prospectively enrolled 189 COPD patients from Yeungnam University Hospital from January 2018 to November 2018. Subjects were tested regarding their inhaler technique in face-to-face interviews with an advanced practice nurse of inhaler upon study entry. Frequency of moderate to severe COPD exacerbations were reviewed via electronic medical records during 12 months prior to study entry. Frequent exacerbations were defined as ≥2 moderate to severe exacerbations in the prior 12 months. Multivariate logistic regression was performed to identify risk factors for frequent exacerbations.
Results: Among 189 COPD patients, 50 (26.5%) were frequent exacerbators. Based on univariate analyses, body mass index (BMI) < 25 kg/m2, lower forced expiratory volume in 1 s (FEV1), higher mMRC, lower feeling of satisfaction with the inhaler, and any critical errors were potential risk factors for frequent exacerbations. Multivariate logistic regression analyses revealed that BMI < 25 kg/m2 (OR, 2.855, 95% CI, 1.247-6.534; p=0.013), higher mMRC (OR, 1.625, 95% CI, 1.072-2.463; p=0.022), and any critical error (OR, 2.020, 95% CI, 1.021-3.999; p=0.044) were risk factors.
Conclusion: Any critical error, BMI < 25 kg/m2 and high mMRC are independent risk factors for frequent exacerbations in COPD patients. Careful monitoring and education around inhaler devices, particularly in frequent exacerbators, are important components of COPD treatment.
© 2019 Ahn et al.

Entities:  

Keywords:  COPD; disease exacerbation; drug use error; inhalation therapy

Mesh:

Substances:

Year:  2019        PMID: 31819409      PMCID: PMC6896926          DOI: 10.2147/COPD.S234774

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


Introduction

Chronic obstructive pulmonary disease (COPD) is a chronic airway disease that has increased in prevalence worldwide.1,2 Exacerbation of COPD is defined as an acute worsening of respiratory symptoms that requires additional therapy. Some COPD patients frequently experience acute exacerbations and are now categorized as a distinct phenotype, the “frequent exacerbators.” This phenotype has a negative effect on lung function, quality of life, activity, hospital admission, and mortality.3 The use of inhalers is the cornerstone of treatment for COPD management. Correct use of the inhaler improves lung function, quality of life, and prevents exacerbation of COPD.4–7 However, inhalation technique and adherence in COPD patients has been reported to be unsatisfactory in previous reports.8–10 Improper use of inhalers can interfere with effective drug delivery to the airways, leading to poor disease control. Many studies have explored the effects of increased inhaler error frequency and the association with poor disease outcomes in asthma patients;11,12 however, few studies have explored the association between inhaler mishandling and poor disease outcomes in COPD patients.9,13,14 One study has explored the potential impact of inhaler device mishandling on COPD exacerbation.9 Other study revealed patients with suboptimal peak inspiratory flow had increased risk of readmission after hospitalization for acute exacerbation of COPD.14 This study evaluated the frequency of critical errors for various inhaler devices and demonstrated an association between inhaler handling error and frequent exacerbations.

Methods

Study Design and Subjects

This was a prospective cross-sectional study conducted in the outpatient pulmonology clinic at the Regional Center for Respiratory Disease, Yeungnam University Hospital, a tertiary university hospital in Daegu, South Korea, from January 2018 to November 2018. Patients aged over 40 years old who were diagnosed with COPD and had been using any inhaler device longer than 1 year prior to the study were recruited. We assessed the commonly used inhaler devices available in South Korea, namely, Turbuhaler®, Breezhaler®, Ellipta®, Diskus®, Genuair®, Respimat®, and pressurized metered dose inhaler (pMDI). We excluded patients using other inhaler devices, those with advanced malignant cancer, and pregnant women. This study was conducted in accordance with the Declaration of Helsinki and was reviewed and approved by the institutional review board of our hospital (YUH IRB 2017–09–012). Written informed consent was obtained from all patients.

Data Collection and Definitions

The subjects were assessed regarding their inhaler handling technique and adherence in face-to-face interviews with an advanced practice nurse of inhaler education (MJN). The nurse was previously educated and trained by COPD specialists and had 3 years of experience in educating on the use of inhaler devices in COPD patients at Yeungnam University Hospital at the time of the study. Critical errors were defined as those affecting the lung deposition of inhaled drug, resulting in little or no drug deposition.15 In multiple device users, if any of the devices have a critical error, it is defined as critical error. Because there is no standardized checklist of inhaler yet, we made our own checklist based on the previous literature.15 These errors included failure to open the device correctly, failure to seal the lips around the mouthpiece during inhalation, not inhaling forcefully or deeply enough when using a dry powder inhaler (DPI), and the following for each specific device: Turbuhaler®: Failure to hold the device upright while priming, failure to prime (rotating grip anticlockwise and then back until the “click” sound is heard) Breezhaler®: Failure to place a capsule in the chamber, failure to close the mouthpiece until the “click” sound is heard, inadequately pressing the buttons to pierce a capsule, and capsule removal without checking for powder residue at the end of inhalation Ellipta®: The above mentioned DPI’s critical error (failure to open the device correctly, failure to seal the lips around the mouthpiece during inhalation, not inhaling forcefully or deeply) Diskus®: Failure to push the lever back fully until the “click” sound is heard Genuair®: Failure to hold the inhaler horizontally with the green button facing upwards for priming Respimat®: Failure to twist the base a half turn, lack of synchronization between actuation and inhalation, not breathing slowly and deeply pMDI®: Not shaking the inhaler well (only in suspension formulation), not keeping the inhaler upright, lack of synchronization between actuation and inhalation, not breathing slowly and deeply Adherence records were assessed as self-reporting of the patient and classified as good, partial, and poor. Records were considered good if they had been taking the full daily inhaler requirement (frequency and dose) as prescribed, partial if they had been taking more or less than the daily inhaler requirement (frequency and dose) as prescribed, and poor if they had been taking the inhaler as needed during symptom aggravation or not at all.16 COPD exacerbations in the previous year were assessed via electronic medical records. COPD exacerbation was defined as an acute worsening of respiratory symptoms resulting in additional therapy. Moderate exacerbation was defined as an exacerbation requiring treatment with systemic corticosteroids and/or antibiotics. Severe exacerbation was defined if the patient visited the emergency room or required hospitalization because of an exacerbation. Frequent exacerbator was defined as any patient who had two or more treated exacerbations in the previous year.17,18 All patients had spirometry records at study enrollment performed within the past 3 months. A general questionnaire (age, sex, body mass index, total number of inhalations per day, smoking status, duration of COPD, previous education for handling inhaler, previous education for COPD, level of education, and use of multiple devices), the modified Medical Research Council,19 COPD assessment test (CAT),20 Mini-Mental State Examination (MMSE),21 EuroQol-5D (EQ-5D),22 patient health questionnaire (PHQ-9),23 and feeling of satisfaction with the inhaler questionnaire (FSI-10)24 were given to all patients at the enrollment visit.

Statistical Analyses

Continuous variables are expressed as means ± standard deviation (SDs) and were compared using the Student’s t-test or the Mann–Whitney U-test. Categorical variables were compared using the chi-square test or Fisher’s exact test. When continuous variables were converted into categorical variables, cut-off values were determined using receiver operating characteristic curves. Multivariate logistic regression analyses were performed to identify independent risk factors for frequent exacerbators using variables with a p-value < 0.1 in univariate analyses, as measured using odds ratios (ORs) with 95% confidence intervals (CIs). Age and sex also were included in multivariate logistic regression analyses. In all analyses, p < 0.05 based on two-tailed tests was considered to indicate statistical significance. All statistical procedures were performed using SPSS software (ver. 24.0; SPSS Inc., Chicago, IL). Prospective power calculations indicated that the overall sample size of 140 patients was required to detect 20% decrease of COPD exacerbation (90% power, α = 0.05, effect size = 0.5). To account for dropout rate, we aimed to enroll 180 patients.25

Results

Baseline Characteristics

The mean age of the patients was 69.9 years and the mean BMI was 23.8 kg/m2. The majority of COPD patients were male (93.1%) and the mean duration of COPD was 4.5 years (Table 1). The mean number of inhalations was 2.3 puffs per day, and 44 (23.3%) patients were using multiple types of inhaler devices. Most patients had mild to moderate airflow limitations (62.4 ± 17.8 predictive FEV1) and more than one fourth were frequent exacerbators.
Table 1

Baseline Characteristics of COPD Patients

VariablesN=189
Age (years)69.9 ± 7.5
Male sex, n (%)176 (93.1)
Body Mass Index (kg/m2)23.8 ± 3.4
Smoking status
 Never smoker23 (12.2)
 Ex-smoker129 (68.3)
 Current smoker37 (19.6)
Duration of COPD4.5 ± 4.3
Total number of inhalations per day2.3 ± 1.3
Previous education for COPD180 (95.2)
Previous education for handling the inhaler180 (95.2)
Education level
 Lower education (≤6years)73 (38.6)
 Higher education (>6years)116 (61.4)
Use of multiple devices (≥2 devices)44 (23.3)
Ratio of FEV1/FVC (%)57.2 ± 13.8
Percent predicted FEV162.4 ± 17.8
Percent predicted DLCO (n=188)68.6 ± 20.0
GOLD
 I, II144 (76.2)
 III, IV45 (23.8)
mMRC score1.3 ± 0.8
CAT score9.8 ± 5.6
MMSE (n=186)29.4 ± 1.6
Moderate exacerbation in the previous 1 year84 (44.4)
Severe exacerbation in the previous 1 year31 (16.4)
Frequent exacerbations in the previous 1 year50 (26.5)

Note: Data are presented as the mean ± standard deviation (range) or number (percentage).

Abbreviations: COPD, chronic obstructive pulmonary disease; CAT, COPD Assessment Test; DLCO, diffusion capacity for carbon monoxide; FEV1, forced expiratory volume in 1 s; FVC, force vital capacity; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC, modified Medical Research Council; MMSE, mini-mental state examination.

Baseline Characteristics of COPD Patients Note: Data are presented as the mean ± standard deviation (range) or number (percentage). Abbreviations: COPD, chronic obstructive pulmonary disease; CAT, COPD Assessment Test; DLCO, diffusion capacity for carbon monoxide; FEV1, forced expiratory volume in 1 s; FVC, force vital capacity; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC, modified Medical Research Council; MMSE, mini-mental state examination.

Critical Errors for Each Step When Handling Inhaler Devices

A total of 189 COPD patients using 233 inhaler devices were included for the analyses of critical errors. At least one such error was observed in 42.9% of patients (81/189). Percentages of errors for each step per inhaler device are presented in Table 2. The majority of errors were observed when using pressurized metered disease inhalers (pMDI) (57.1%), followed by soft mist inhaler (SMI) (42.3%) and DPI (39.1%). When analyzing by device, the most critical errors were observed in Turbuhaler® users (n=12, 66.7%), followed by pMDI users (n=8, 57.1%), Breezhaler® users (n=21, 42.9%), Genuair® users (n=6, 42.9%), Respimat® users (n=44, 42.3%), Ellipta® users (n=5, 19.2%), and Diskus® users (n=1, 12.5%). For the Turbuhaler®, “failure to prime while holding the device upright” and “not inhaling forcefully or deeply” were the most common critical errors. For the Breezhaler®, “not inhaling forcefully or deeply” and “inadequately pressing the buttons to pierce the capsule” were the most common. For the Ellipta®, “not inhaling forcefully or deeply” was the most common. For the Diskus®, “failure to push the lever back fully” was the most common. For the Genuair®, “not inhaling forcefully or deeply” and “failure to hold the inhaler horizontally with the green button facing upwards for priming” were the most common. For the Respimat®, “failure to twist the base a half turn,” “failure to open the device correctly,” and “lack of synchronization between actuation and inhalation” were the most common. For the pMDI, “not breathing slowly and deeply,” “lack of synchronization between actuation and inhalation,” and “shaking inhaler well with keeping the inhaler upright” were the most common.
Table 2

Critical Errors per Inhaler Device

Critical StepsTurbuhaler® n=18Breezhaler® n=49Ellipta® n=26Diskus® n=8Genuair® n=14Respimat® n=104pMDI n=14
Twist the base a half turnNANANANANA22 (21.2)NA
Open the device correctly0 (0)0 (0)2 (7.7)0 (0)0 (0)22 (21.2)0 (0)
Priming with device upright9 (50.0)NANANANANANA
Push the lever back fullyNANANA1 (12.5)NANANA
Place capsule in the chamberNA0 (0)NANANANANA
Close the mouthpieceNA4 (8.2)NANANANANA
Press buttons to pierce a capsuleNA11 (22.4)NANANANANA
Hold the inhaler horizontally green button facing upwards for primingNANANANA3 (21.4)NANA
Shaking inhaler wellNANANANANANA1 (7.1)
Keeping inhaler uprightNANANANANANA2 (14.3)
Seal lips around mouthpiece during inhalation0 (0)0 (0)0 (0)0 (0)0 (0)6 (5.8)0 (0)
Inhale forcefully or deeply4 (22.2)13 (26.5)3 (11.5)0 (0)4 (28.6)NANA
Synchronization between actuation and inhalationNANANANANA22 (21.2)2 (14.3)
Inhale slowly and deeplyNANANANANA21 (20.2)3 (21.4)
Capsule removed with checking for powder residueNA5 (10.2)NANANANANA
Patients performing at least one critical error12 (66.7)21 (42.9)5 (19.2)1 (12.5)6 (42.9)44 (42.3)8 (57.1)

Note: Data are presented as the number (percentage).

Abbreviations: pMDI, pressurized metered-dose inhaler; NA, not applicable to the device.

Critical Errors per Inhaler Device Note: Data are presented as the number (percentage). Abbreviations: pMDI, pressurized metered-dose inhaler; NA, not applicable to the device.

Factors Associated with Frequent Exacerbations

Factors associated with frequent exacerbations are listed in Tables 3 and 4. In univariate analyses, BMI < 25 kg/m2 (OR, 2.723, 95% CI, 1.225–6.054; p=0.012), lower FEV1 (OR, 0.983, 95% CI, 0.965–1.001; p=0.069), higher mMRC (OR, 1.574, 95% CI, 1.063–2.329; p=0.023), lower feeling of satisfaction with the inhaler (OR, 0.942, 95% CI, 0.878–1.010; p=0.095), and any critical error (OR, 2.310, 95% CI, 1.196–4.463; p=0.012) were potential risk factors for frequent exacerbators. Multivariate logistic regression analyses revealed that BMI < 25 kg/m2 (OR, 2.855, 95% CI, 1.247–6.534; p=0.013), higher mMRC (OR, 1.625, 95% CI, 1.072–2.463; p=0.022), and any critical error (OR, 2.020, 95% CI, 1.021–3.999; p=0.044) were risk factors for frequent exacerbations in COPD patients. The rate of exacerbations increased with BMI < 25 kg/m2, with mMRC ≥ 2, and with any critical error (Figure 1).
Table 3

Clinical Characteristics of Frequent Exacerbators and Infrequent exacerbators

Frequent ExacerbatorInfrequent ExacerbatorP Value
Total number50 (26.5)139 (73.5)
Age (years)69.6 ± 8.670.0 ± 7.20.756
Male sex, n (%)46 (92.0)130 (93.5)0.747
BMI (kg/m2)22.9 ± 3.124.1 ± 3.40.044
 BMI < 2541 (82.0)87 (62.6)0.012
 BMI ≥ 259 (18.0)52 (37.4)
Smoking status0.426
 Never smoker8 (16.0)15 (10.8)
 Ex-smoker33 (66.0)96 (69.1)
 Current smoker9 (18.0)28 (20.1)
Duration of COPD4.7 ± 3.84.4 ± 4.50.636
Total number of inhalations per day2.4 ± 1.62.3 ± 1.20.697
Previous education for COPD48 (96.0)132 (95.0)1.000
Previous education for handling inhaler49 (98.0)131 (94.2)0.449
Education level0.657
 Lower education (≤6 years)55 (39.6)18 (36.0)
 Higher education (>6 years)84 (60.4)32 (64.0)
Pulmonary functions test
Ratio of FEV1/FVC (%)55.8 ± 13.757.7 ± 13.80.415
Percent predicted FEV158.5 ± 18.963.9 ± 17.20.067
Percent predicted DLCO (n=188)66.7 ± 17.969.3 ± 20.80.430
GOLD0.231
 I, II35 (70.0)109 (78.4)
 III, IV15 (30.0)30 (21.6)
Outcome by questionnaire
mMRC score1.5 ± 0.91.2 ± 0.80.021
CAT score10.8 ± 5.49.4 ± 5.70.148
MMSE (n=186)29.3 ± 1.729.4 ± 1.60.785
EQ-5D0.9 ± 0.10.9 ± 0.10.713
PHQ-91.2 ± 2.21.2 ± 2.50.931
FSI-1043.7 ± 5.244.9 ± 4.20.128
Inhaler assessment
Any critical error29 (58.0)52 (37.4)0.012
Adherence0.441
 Good43 (86.0)111 (79.9)
 Partial6 (12.0)26 (18.7)
 Poor1 (2.0)2 (1.4)

Note: Data are presented as the mean ± standard deviation (range) or number (percentage).

Abbreviations: BMI, body mass index; CAT, COPD Assessment Test; COPD, chronic obstructive pulmonary disease; DLCO, diffusion capacity for carbon monoxide; EQ-5D, EuroQol-5D; FEV1, forced expiratory volume in 1 s; FSI-10, feeling of satisfaction with inhaler questionnaire; FVC, force vital capacity; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC, modified Medical Research Council; MMSE, mini-mental state examination; PHQ-9, patient health questionnaire.

Table 4

Predictors of Frequent Exacerbators in Patients with COPD Based on Logistic Regression Analyses

UnivariateMultivariate
OR95% CIP ValueOR95% CIP Value
Age (years)0.9930.952–1.0370.755
Male sex, n (%)0.7960.234–2.7100.747
BMI < 25 (kg/m2)2.7231.225–6.0540.0122.8551.247–6.5340.013
Percent predicted FEV10.9830.965–1.0010.069
mMRC score1.5741.063–2.3290.0231.6251.072–2.4630.022
FSI-100.9420.878–1.0100.095
Any critical error2.3101.196–4.4630.0122.0201.021–3.9990.044

Note: Data are presented as mean ± standard deviation (range) or number (percentage).

Abbreviations: BMI, body mass index; CI, confidence interval; FEV1, forced expiratory volume in 1 s; FSI-10, feeling of satisfaction with inhaler questionnaire; FVC, force vital capacity; mMRC, modified Medical Research Council; OR, odds ratio.

Figure 1

Rate of frequent exacerbators according to BMI, mMRC, and critical error.

Abbreviations: BMI, body mass index; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC, modified Medical Research Council.

Clinical Characteristics of Frequent Exacerbators and Infrequent exacerbators Note: Data are presented as the mean ± standard deviation (range) or number (percentage). Abbreviations: BMI, body mass index; CAT, COPD Assessment Test; COPD, chronic obstructive pulmonary disease; DLCO, diffusion capacity for carbon monoxide; EQ-5D, EuroQol-5D; FEV1, forced expiratory volume in 1 s; FSI-10, feeling of satisfaction with inhaler questionnaire; FVC, force vital capacity; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC, modified Medical Research Council; MMSE, mini-mental state examination; PHQ-9, patient health questionnaire. Predictors of Frequent Exacerbators in Patients with COPD Based on Logistic Regression Analyses Note: Data are presented as mean ± standard deviation (range) or number (percentage). Abbreviations: BMI, body mass index; CI, confidence interval; FEV1, forced expiratory volume in 1 s; FSI-10, feeling of satisfaction with inhaler questionnaire; FVC, force vital capacity; mMRC, modified Medical Research Council; OR, odds ratio. Rate of frequent exacerbators according to BMI, mMRC, and critical error. Abbreviations: BMI, body mass index; GOLD, Global Initiative for Chronic Obstructive Lung Disease; mMRC, modified Medical Research Council.

Discussion

Of the 189 COPD patients enrolled, 50 (26.5%) patients were frequent exacerbators. At least one critical inhaler error was observed in 81 (42.9%) patients, although 95.2% received previous education for handling the inhaler. Lower BMI, higher mMRC, and any critical error were risk factors for frequent exacerbations in COPD patients. The rate of exacerbation increased with BMI < 25.0 kg/m2, mMRC ≥ 2, and with any critical error. Critical errors were most commonly observed when using pMDI (57.1%). Previous studies have also reported a high rate of inaccurate technique when using pMDI compared to other devices.8,26 “Not breathing slowly and deeply” was the most common error in our study. pMDI requires a slow and deep inhalation, with an inspiratory flow rate of less than 60 L/min. Fast inhalation flow rates increase inertial impaction of aerosols in the oropharyngeal area and bifurcations of the airways, decreasing aerosol deposition to the lung.27 In a study that measured peak inhalation flows of COPD patients, approximately 60% of COPD patients inhaled more than 90 L/min with the pMDI.28 “Lack of synchronization between actuation and inhalation” were also common errors. Poor actuation–inhalation coordination was observed in about 20–40% of patients with asthma and COPD.8,13,26 Critical errors were also commonly observed when using SMI (42.3%) in this study. A recent large study demonstrated that Respimat® users had the highest rate of at least one critical error (46.9%) among the inhaler devices.9 Inadvertent activation during routine dosing and lack of synchronization between hand and lung are common errors in other studies.9,29 Our study is consistent with these previous results. The most common errors in handling the SMI were “failure to twist the base a half turn,” “failure to open the device correctly,” and “lack of synchronization between actuation and inhalation” in this study. Critical errors were observed in 39.1% of COPD patients when using DPI. Among the DPI devices, Diskus® and Ellipta® users had fewer critical errors than users of Turbuhaler®, Breezhaler®, and Genuair®. Dose-preparation errors (priming devices in the correct position, pressing the button correctly to pierce a capsule, and pushing the lever) were seen in 10–50% of patients using Turbuhaler® (50.0%), Breezhaler® (22.4%), Diskus® (12.5%), and Genuair® (21.4%). “Not inhaling forcefully or deeply” was seen in one fourth of DPI users. Many previous studies have demonstrated an association between disease outcomes and inhaler errors in asthma patients.11,12,16,30,31 Studies demonstrating an association between disease outcomes and inhaler errors are rare in COPD patients.9,13 In one study, the Asthma Control Test (ACT) instrument was used to assess disease outcome in COPD patients.13 Molimard et al found an association between critical errors and severe COPD exacerbations in the prior 3 months.9 Press et al found that in-hospital education in inhaler technique was associated with fewer acute care events within 30 days after discharge.32 In our study, we found an association between critical errors and frequent COPD exacerbations over the prior 12 months. Any critical errors resulted in an OR of 2.020 of frequent exacerbations over the past year. According to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2019 report, physicians should regularly assess inhaler technique and adherence. Poor inhaler technique must be considered a cause of poor treatment response. Therefore, it is important to assess inhaler technique and encourage patients to use their devices correctly. Those who cannot use their devices correctly require a different device.33 Exacerbation of COPD is defined as an acute worsening of respiratory symptoms that requires additional therapy. Some COPD patients experience frequent exacerbations and are now categorized as a distinct phenotype, the frequent exacerbators. These events are important and have a significant impact on COPD patients. These events negatively impact lung function, quality of life, activity, hospital admission, and mortality.3 At this time, the emphysematous phenotype, physician-diagnosed asthma, presence of gastroesophageal reflux disease, more severe airflow obstruction, use of inhaled corticosteroids, higher mMRC, and higher BODE (BMI, degree of airflow obstruction, dyspnea, and exercise capacity) index are associated with the frequent exacerbator phenotype.34–37 Recently, Le Rouzic et al derived a score to predict the frequent exacerbator cluster, called the ESOD (Exacerbation history, chronic sputum production, GOLD stage of obstruction, and mMRC dyspnea stage).38 In our study, BMI < 25 kg/m2, higher mMRC, and any critical error were independent risk factors for frequent exacerbations. For the first time, our study demonstrated that critical error is an independent risk factor for frequent exacerbations in the prior year in patients treated for at least 1 year with a tested device. There were some limitations to this study. First, as this study was conducted at a single center without randomization, selection bias could not be avoided. Our center is a regional center for respiratory disease in a university affiliated hospital setting, offering face-to-face inhaler education by an advanced practice nurse in routine clinical practice. However, the inhaler technique failure rate was relatively high despite thorough education. Therefore, patients in other hospital settings are thought to be much less accurate in using inhaler devices. These factors make it difficult to generalize our result to other patients. Second, assessing inhaler technique may be subjective in “inhale forcefully or deeply” when evaluating DPI devices and “synchronization between actuation and inhalation” and “inhale slowly and deeply” when evaluating SMI and pMDI devices. Devices measuring peak inspiratory flow are not available in our clinical practice settings. However, as mentioned above, the advanced practice nurse who assessed inhaler technique was previously educated and trained by COPD specialists and had 3 years of experience educating users on devices at the time of the study; therefore, the reliability of inhaler technique evaluation may be good. Third, other independent factors known to affect COPD exacerbation, such as comorbidities and the type of inhaler molecule, were not included. Fourth, the number of patients using a particular inhaler is very small. This is the case in DPI users because there are many types of DPI. Patients using more DPIs will be evaluated in the future studies. Fifth, as there is no consensus on standardized inhaler checklist, it is not clear whether our research checklist will work as a critical error in all COPD patients. Our study also had several strengths. First, it is the first study in Korea to evaluate inhaler device technique and adherence in COPD patients; furthermore, we demonstrated an association between critical error and frequent exacerbations in COPD patients for the first time. Second, our research was conducted only on COPD patients. Asthma and COPD are different disease entity and studies of inhaler use technique and patient related outcomes should be checked separately from asthma and COPD. Our research has an advantage in that respect. Third, compared to a previous study in which inhalers were evaluated by many physicians,9 these evaluations were conducted by a single advanced practice nurse to eliminate interobserver variability. Fourth, we applied many outcome questionnaires including mMRC, CAT, MMSE, EQ-5D, PHQ-9, and FSI-10. No previous studies have compared a variety of outcome questionnaires between frequent exacerbators and infrequent exacerbators. Fifth, our study represents the actual use of inhalers at clinical sites. Although 95% of subjects had been educated previously for handling inhalers, a considerable number of patients made errors during inhaler use. In general clinics and general hospitals where training on inhaler use is difficult, patients are very likely to make more errors. In conclusion, we found that any critical error, BMI < 25 kg/m2 and higher mMRC are independent risk factors for frequent exacerbations in COPD patients. Careful monitoring and education on inhaler device use, particularly in frequent exacerbators, is an important component of COPD treatment.
  38 in total

1.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician.

Authors:  M F Folstein; S E Folstein; P R McHugh
Journal:  J Psychiatr Res       Date:  1975-11       Impact factor: 4.791

2.  Suboptimal Inspiratory Flow Rates Are Associated with Chronic Obstructive Pulmonary Disease and All-Cause Readmissions.

Authors:  Chee H Loh; Stephen P Peters; Tina M Lovings; Jill A Ohar
Journal:  Ann Am Thorac Soc       Date:  2017-08

3.  Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

Authors:  Franz Faul; Edgar Erdfelder; Axel Buchner; Albert-Georg Lang
Journal:  Behav Res Methods       Date:  2009-11

4.  Once-Daily Single-Inhaler Triple versus Dual Therapy in Patients with COPD.

Authors:  David A Lipson; Frank Barnhart; Noushin Brealey; Jean Brooks; Gerard J Criner; Nicola C Day; Mark T Dransfield; David M G Halpin; MeiLan K Han; C Elaine Jones; Sally Kilbride; Peter Lange; David A Lomas; Fernando J Martinez; Dave Singh; Maggie Tabberer; Robert A Wise; Steven J Pascoe
Journal:  N Engl J Med       Date:  2018-04-18       Impact factor: 91.245

5.  Validation and utility of a self-report version of PRIME-MD: the PHQ primary care study. Primary Care Evaluation of Mental Disorders. Patient Health Questionnaire.

Authors:  R L Spitzer; K Kroenke; J B Williams
Journal:  JAMA       Date:  1999-11-10       Impact factor: 56.272

6.  Susceptibility to exacerbation in chronic obstructive pulmonary disease.

Authors:  John R Hurst; Jørgen Vestbo; Antonio Anzueto; Nicholas Locantore; Hana Müllerova; Ruth Tal-Singer; Bruce Miller; David A Lomas; Alvar Agusti; William Macnee; Peter Calverley; Stephen Rennard; Emiel F M Wouters; Jadwiga A Wedzicha
Journal:  N Engl J Med       Date:  2010-09-16       Impact factor: 91.245

7.  Usefulness of the Medical Research Council (MRC) dyspnoea scale as a measure of disability in patients with chronic obstructive pulmonary disease.

Authors:  J C Bestall; E A Paul; R Garrod; R Garnham; P W Jones; J A Wedzicha
Journal:  Thorax       Date:  1999-07       Impact factor: 9.139

8.  Tiotropium and olodaterol in the prevention of chronic obstructive pulmonary disease exacerbations (DYNAGITO): a double-blind, randomised, parallel-group, active-controlled trial.

Authors:  Peter M A Calverley; Antonio R Anzueto; Kerstine Carter; Lars Grönke; Christoph Hallmann; Christine Jenkins; Jadwiga Wedzicha; Klaus F Rabe
Journal:  Lancet Respir Med       Date:  2018-04-05       Impact factor: 30.700

9.  Can all patients with COPD use the correct inhalation flow with all inhalers and does training help?

Authors:  Raid A M Al-Showair; Walid Y Tarsin; Khaled H Assi; Stanley B Pearson; Henry Chrystyn
Journal:  Respir Med       Date:  2007-07-12       Impact factor: 3.415

10.  Asthma patients' inability to use a pressurised metered-dose inhaler (pMDI) correctly correlates with poor asthma control as defined by the global initiative for asthma (GINA) strategy: a retrospective analysis.

Authors:  Mark L Levy; Alison Hardwell; Eddie McKnight; John Holmes
Journal:  Prim Care Respir J       Date:  2013-12
View more
  10 in total

1.  Developing a novel tool to assess the ability to self-administer medication in non-demented in-hospital patients: ABLYMED study protocol.

Authors:  Anneke Maiworm; Robert Langner; Stefan Wilm; Dirk M Hermann; Helmut Frohnhofen; Janine Gronewold
Journal:  BMC Geriatr       Date:  2022-05-31       Impact factor: 4.070

2.  The Relationship Between the "Adherence Starts with Knowledge-20" Questionnaire and Clinical Factors in Patients with COPD: A Multi-Center, Cross-Sectional Study.

Authors:  Kaho Akimoto; Kuniaki Hirai; Tomohiro Matsunaga; Keisuke Kaneko; Hatsuko Mikuni; Tomoko Kawahara; Tomoki Uno; Akiko Fujiwara; Yoshito Miyata; Shin Ohta; Tetsuya Homma; Hideki Inoue; Fumihiro Yamaguchi; Sojiro Kusumoto; Shintaro Suzuki; Akihiko Tanaka; Hironori Sagara
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-12-04

3.  The effects of repeated inhaler device handling education in COPD patients: a prospective cohort study.

Authors:  June Hong Ahn; Jin Hong Chung; Kyeong-Cheol Shin; Hyun Jung Jin; Jong Geol Jang; Mi Suk Lee; Kwan Ho Lee
Journal:  Sci Rep       Date:  2020-11-12       Impact factor: 4.379

4.  Evaluation of Suboptimal Peak Inspiratory Flow in Patients with Stable COPD.

Authors:  Cristina Represas-Represas; Luz Aballe-Santos; Alberto Fernández-García; Ana Priegue-Carrera; José-Luis López-Campos; Almudena González-Montaos; Maribel Botana-Rial; Alberto Fernández-Villar
Journal:  J Clin Med       Date:  2020-12-05       Impact factor: 4.241

5.  Use of Web-Based Videos in a Community Pharmacy to Optimize Inhalation Technique.

Authors:  Tobias Müller; Maike Möller; Christian Lücker; Michael Dreher
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2020-12-18

6.  Comparative Study of Inhaler Device Handling Technique and Risk Factors for Critical Inhaler Errors in Korean COPD Patients.

Authors:  Jong Geol Jang; Jin Hong Chung; Kyeong-Cheol Shin; Hyun Jung Jin; Kwan Ho Lee; June Hong Ahn
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2021-04-19

7.  Critical inhaler technique errors in Swedish patients with COPD: a cross-sectional study analysing video-recorded demonstrations.

Authors:  Johanna Sulku; Kristina Bröms; Marieann Högman; Christer Janson; Karin Lisspers; Andrei Malinovschi; Håkan Melhus; Björn Ställberg; Elisabet I Nielsen
Journal:  NPJ Prim Care Respir Med       Date:  2021-02-09       Impact factor: 2.871

Review 8.  The Impact of 52-Week Single Inhaler Device Triple Therapy versus Dual Therapy on the Mortality of COPD Patients: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Authors:  Chih-Cheng Lai; Chao-Hsien Chen; Kuang-Hung Chen; Cheng-Yi Wang; Tsan-Ming Huang; Ya-Hui Wang; Hao-Chien Wang
Journal:  Life (Basel)       Date:  2022-01-25

9.  Diffusing capacity in chronic obstructive pulmonary disease assessment: A meta-analysis.

Authors:  Yingmeng Ni; Youchao Yu; Ranran Dai; Guochao Shi
Journal:  Chron Respir Dis       Date:  2021 Jan-Dec       Impact factor: 2.444

Review 10.  Impact of Sex on Proper Use of Inhaler Devices in Asthma and COPD: A Systematic Review and Meta-Analysis.

Authors:  Luigino Calzetta; Marina Aiello; Annalisa Frizzelli; Beatrice Ludovica Ritondo; Elena Pistocchini; Paola Rogliani; Alfredo Chetta
Journal:  Pharmaceutics       Date:  2022-07-28       Impact factor: 6.525

  10 in total

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