Chronic obstructive pulmonary disease trajectory: severe exacerbations and dynamic change in health-related quality of life.

BACKGROUND: The life trajectory of chronic obstructive pulmonary disease (COPD) remains unknown. PATIENTS AND METHODS: We collected data from two populations. In the first cohort, we recruited 375 patients with COPD from our hospital, and 1440 repeated assessments of quality of life (QoL) using the European Quality of Life-5 Dimensions questionnaire from 2006 to 2020. We analysed their dynamic changes using the kernel-smoothing method. The second cohort comprised 27 437 patients from the National Health Insurance (NHI) dataset with their first severe acute exacerbations (AEs) requiring hospitalisation from 2008 to 2017 were analysed for their long-term course of AEs. We employed a Cox hazard model to analyse the predictors for mortality or AEs. RESULTS: Cohorts from our hospital and NHI were male predominant (93.6 and 83.5%, respectively). After the first severe AE, the course generally comprised three phases. The first was a 1-year period of elevated QoL, followed by a 2-year prolonged stable phase with a slowly declining QoL. After the second AE, the final phase was characterised by a rapid decline in QoL. For NHI cohort, 2712 died during the 11-year follow-up, the frequency of the first AE was approximately 5 per 10 000 per day. The median time from the first to the second AE was 3 years, which decreased to less than 6 and 3 months from 4th to 5th and 8th to 9th AE, respectively. The frequency of AE was increased 10-fold and 15-fold and risk of subsequent AE was increased 12-fold and 20-fold after the 6th and the 10th AE, relative to the first. Male gender, heart failure comorbidities were associated with the risk of subsequent AE and death. CONCLUSIONS: The life trajectory of COPD includes the accelerated frailty phase, as well as elevated health and prolonged stable phase after the first AE.

Beta-blockers reduce severe exacerbation in patients with mild chronic obstructive pulmonary disease with atrial fibrillation: a population-based cohort study.

BACKGROUND AND OBJECTIVE: Beta-blockers (BBs) decrease mortality and acute exacerbation (AE) rates in patients with chronic obstructive pulmonary disease (COPD) and cardiovascular disease; however, information on their effects in patients with COPD and atrial fibrillation (AF) is limited. We aimed to assess the AE risk in patients with different severities of COPD and AF receiving BBs compared with that in patients receiving calcium channel blockers (CCBs). METHODS: This retrospective cohort study used data from the Taiwan National Health Insurance Database from 2009 to 2018. Outcomes included AE-related emergency room visits and hospitalisation. HRs and 95% CIs were estimated using the Cox proportional hazards model. COPD severity was classified as mild or severe based on exacerbation history. Sensitivity analyses included treatment and subgroup analyses, and competing risk adjustment. RESULTS: After propensity score matching, 4486 pairs of BB and CCB users from 13 462 eligible patients were included. The exacerbation risk for BB users was lower (HR 0.80; 95% CI 0.72 to 0.89) than that of CCB users. After stratification, BB benefits persisted in the mild COPD group (HR 0.75; 95% CI 0.66 to 0.85), unlike the severe COPD group (HR 0.95; 95% CI 0.75 to 1.20). The results of the subgroup analysis showed consistent protective effects even in patients without heart failure or myocardial infarction (adjusted HR 0.82; 95% CI 0.71 to 0.94). CONCLUSION: We found that BB use in patients with mild COPD and AF was associated with a lower exacerbation risk than CCB use, and that close monitoring of BB use in patients with severe COPD and AF is warranted.

Cigarette smoke increases susceptibility of alveolar macrophages to SARS-CoV-2 infection through inducing reactive oxygen species-upregulated angiotensin-converting enzyme 2 expression.

Alveolar macrophages (AMs) are the drivers of pulmonary cytokine storm in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This study aimed to investigate clinical-regulatory factors for the entrance protein of SARS-CoV-2, angiotensin-converting enzyme 2 (ACE2) in AMs. Human AMs were collected from 56 patients using bronchoalveolar lavage. ACE2 expression in AMs was positively correlated with smoking pack-year (Spearman's r = 0.347, P = 0.038). In multivariate analysis, current smoking was associated with increased ACE2 in AMs (ß-coefficient: 0.791, 95% CI 0.019-1.562, P = 0.045). In vitro study, ex-vivo human AMs with higher ACE2 were more susceptible to SARS-CoV-2 pseudovirus (CoV-2 PsV). Treating human AMs using cigarette smoking extract (CSE) increases the ACE2 and susceptibility to CoV-2 PsV. CSE did not significantly increase the ACE2 in AMs of reactive oxygen species (ROS) deficient Cybb-/- mice; however, exogenous ROS increased the ACE2 in Cybb-/- AMs. N-acetylcysteine (NAC) decreases ACE2 by suppressing intracellular ROS in human AMs. In conclusion, cigarette smoking increases the susceptibility to SARS-CoV-2 by increasing ROS-induced ACE2 expression of AMs. Further investigation into the preventive effect of NAC on the pulmonary complications of COVID-19 is required.

Mapping algorithms for predicting EuroQol-5D-3L utilities from the assessment test of chronic obstructive pulmonary disease.

To predict 3-Level version of European Quality of Life-5 Dimensions (EQ-5D-3L) questionnaire utility from the chronic obstructive pulmonary disease (COPD) assessment test (CAT), the study attempts to collect EQ-5D-3L and CAT data from COPD patients. Response mapping under a backward elimination procedure was used for EQ-5D score predictions from CAT. A multinomial logistic regression (MLR) model was used to identify the association between the score and the covariates. Afterwards, the predicted scores were transformed into the utility. The developed formula was compared with ordinary least squares (OLS) regression models and models using Mean Rank Method (MRM). The MLR models performed as well as other models according to mean absolute error (MAE) and root mean squared error (RMSE) evaluations. Besides, the overestimation for low utility patients (utility ≤ 0.6) and underestimation for near health (utility > 0.9) in the OLS method was improved through the means of the MLR model based on bubble chart analysis. In conclusion, response mapping with the MLR model led to performance comparable to the OLS and MRM models for predicting EQ-5D utility from CAT data. Additionally, the bubble charts analysis revealed that the model constructed in this study and MRM could be a better predictive model.

Typical antipsychotics is associated with increased risk of severe exacerbation in asthma patients: a nationwide population-based cohort study.

BACKGROUND: Severe asthma exacerbation reduces patients' quality of life, results in visits to the emergency department (ED) and hospitalization, and incurs additional medical costs. Antipsychotics block receptors with bronchodilation function; however, the association between antipsychotic use and severe asthma exacerbation is unknown. This study aimed to investigate the effects of antipsychotics on asthma-related ED visits and hospitalizations. METHODS: A case-crossover design was used in this study. Using the 2003-2017 Taiwan National Health Insurance Reimbursement Database, we established a cohort of 18,657 adults with asthma exacerbation leading to ED visits or hospitalization. Univariate and multivariate conditional logistic regressions were conducted to explore the association between antipsychotic use and severe asthma exacerbation. Subgroup analyses of different classes, doses, receptor functions of antipsychotics, different psychiatric disease, and sensitivity analyses of excluding patients with schizophrenia were also performed. RESULTS: Antipsychotic use was associated with a higher risk of severe asthma exacerbation (adjusted odds ratio [OR]: 1.27; 95% confidence interval [CI] 1.05-1.54; P = 0.013) compared with no use of antipsychotics. The use of typical antipsychotics increased the risk of severe asthma exacerbation (adjusted OR: 1.40, 95% CI 1.10-1.79, P = 0.007), whereas the use of atypical antipsychotics did not. These results did not change after the exclusion of patients with schizophrenia. There was a dose-dependent effect of antipsychotics (trend test, P = 0.025). Antipsychotics that block the M2 muscarinic or D2 dopaminergic receptors were associated with an increased risk of severe asthma exacerbation (adjusted OR: 1.39, 95% CI 1.10-1.76, P = 0.007 and adjusted OR: 1.33, 95% CI 1.08-1.63, P = 0.008, respectively). However, use of antipsychotics did not increase risk of severe asthma exacerbation in patients with psychiatric disorder. CONCLUSIONS: The use of typical antipsychotics is associated with a dose-dependent increased risk of severe asthma exacerbation, especially for patients without psychiatric disorders. Further research on the impact of typical antipsychotics on asthma exacerbation is warranted.

Clinical and Microbiological Characteristics of Culture-Positive, Influenza-Associated Pulmonary Aspergillosis: A Single-Center Study in Southern Taiwan, 2016-2019.

This study delineated the characteristics of 24 (11.2%) culture-positive, influenza-associated pulmonary aspergillosis (IAPA) patients out of 215 patients with severe influenza during 2016-2019 in a medical center in southern Taiwan. Twenty (83.3%) patients did not have EORTC/MSG-defined host factors. The mean time from influenza diagnosis to Aspergillus growth was 4.4 days, and 20 (83.3%) developed IAPA within seven days after influenza diagnosis. All patients were treated in intensive care units and all but one (95.8%) received mechanical ventilation. Aspergillus tracheobronchitis was evident in 6 (31.6%) of 19 patients undergoing bronchoscopy. Positive galactomannan testing of either serum or bronchoalveolar lavage was noted in all patients. On computed tomography imaging, IAPA was characterized by peribronchial infiltrates, multiple nodules, and cavities superimposed on ground-glass opacities. Pure Aspergillus growth without bacterial co-isolation in culture was found in 17 (70.8%) patients. A. fumigatus (15, 62.5%), A. flavus (6, 25.0%), and A. terreus (4, 16.7%) were the major causative species. Three patients had mixed Aspergillus infections due to two species, and two had mixed azole-susceptible and azole-resistant A. fumigatus infection. All patients received voriconazole with an all-cause mortality of 41.6%. Of 14 survivors, the mean duration of antifungal use was 40.5 days. In conclusion, IAPA is an early and rapidly deteriorating complication following influenza that necessitates clinical vigilance and prompt diagnostic workup.

Development and validation of a prediction index for recent mortality in advanced COPD patients.

The primary barrier to initiating palliative care for advanced COPD patients is the unpredictable course of the disease. We enroll 752 COPD patients into the study and validate the prediction tools for 1-year mortality using the current guidelines for palliative care. We also develop a composite prediction index for 1-year mortality and validate it in another cohort of 342 patients. Using the current prognostic models for recent mortality in palliative care, the best area under the curve (AUC) for predicting mortality is 0.68. Using the Modified Medical Research Council dyspnea score and oxygen saturation to define the combined dyspnea and oxygenation (DO) index, we find that the AUC of the DO index is 0.84 for predicting mortality in the validated cohort. Predictions of 1-year mortality based on the current palliative care guideline for COPD patients are poor. The DO index exhibits better predictive ability than other models in the study.

Paradoxical bronchospasm: a rare adverse effect of fenoterol use.

Paradoxical bronchospasm refers to the constriction of the airways after treatment with a sympathomimetic bronchodilator. Theoretically, bronchodilators, such as beta-agonist inhalers, act to ease asthma symptoms by relaxing the muscles surrounding the walls of the bronchial tubes, which relieve bronchial constriction. However, in rare instances, some patients develop respiratory distress or even respiratory failure after inhaled bronchodilator use, although the exact mechanism for this adverse effect is unknown. We report a male, with a known asthma history diagnosed for more than one decade, receiving fenoterol (Berotec®) for wheezing control and the worsening of his clinical condition immediately after bronchodilator administration.

Life expectancy (LE) and loss-of-LE for patients with chronic obstructive pulmonary disease.

BACKGROUND AND OBJECTIVES: Prognosis of COPD is usually expressed as a 3-year survival rate, which might not be easily understood by lay people. This study estimates the life expectancy (LE) and loss-of-LE for COPD patients with different GOLD stages and patients with a history of acute exacerbation (AE) requiring hospitalization (severe AE) in the preceding year. METHODS: 532 patients who were diagnosed with COPD according to the GOLD criteria at NCKU hospital between 2006 and 2016 were recruited. Survival was estimated by Kaplan-Meier method, and extrapolated to lifetime to obtain the LE. The loss-of-LE was quantified by subtracting the LE of the COPD cohort from national life tables. The survival of patients with severe AE history was validated by a nation-wide cohort from the National Health Insurance dataset. RESULTS: The survival of patients with severe stage COPD (GOLD grades 3 and 4) was almost the same as those patients with a history of severe AE and the loss-of-LE for the former and the latter were 9.3 (1.1) and 9.4 (1.3) years, respectively. The nation-wide cohort with severe AE history (n = 44,764) showed a loss-of-LE of 8.3 (0.1) years. The loss-of-LE of patients with moderate stage COPD (GOLD grade 2) was 6.2 years, but no reduction in LE was noted for mild stage COPD (GOLD grade 1). CONCLUSIONS: We successfully estimated LE and loss of LE in COPD patients under the GOLD criteria. The survival of severe stage COPD patients is almost the same as those with severe AE history, or about 8-9 years of life lost.

Bronchoscopy-guided bronchial epithelium sampling as a tool for selecting the optimal biologic treatment in a patient with severe asthma: a case report.

BACKGROUND: There are numerous biologics for treating patients with severe asthma. A cost-effective method for selecting the most appropriate biologic therapy for a patient is thus important. Bronchoscopy-guided bronchial epithelium sampling may provide information for determining the type of inflammation in the airways of severe asthma patients through immunochemical analysis and thus help clinicians select the correct biologics. CASE PRESENTATION: We report the case of a female with severe asthma and eosinophilia who initially responded to omalizumab treatment. She developed an allergic reaction after four injections of omalizumab. Omalizumab desensitization was successfully conducted. To select an appropriate biologic agent after this hypersensitivity episode, we performed bronchoscopy-guided bronchial epithelium sampling. Omalizumab treatment was resumed based on the findings of immunohistochemical staining after a successful desensitization procedure, leading to long-term control of her severe asthma. CONCLUSIONS: Selecting an adequate biologic agent for severe, uncontrolled asthma is a challenge in clinical medical practice. Although phenotypes, blood eosinophils, and serum IgE levels have been proposed for use as a reference, there is a dissociation between the blood immune-cell level and the airway epithelium immune reaction, as confirmed in previous studies. Airway epithelium immunohistochemistry staining for targeted immune cells has been used to determine various types of airway inflammation; however, this technique is rarely used in a clinical setting. Previous studies have revealed the relative safety of performing bronchoscopy biopsies for patients with severe asthma. Among the sampling techniques used for tissue diagnosis, including nasal biopsies, nasal or bronchial brushing, and bronchoalveolar lavage, bronchoscopy-guided bronchial epithelium sampling provides more accurate information about the epithelial and inflammatory cells in the tissue context. It is thus a powerful tool for selecting the most suitable biologics in difficult clinical conditions.

Validation of the GOLD 2017 and new 16 subgroups (1A-4D) classifications in predicting exacerbation and mortality in COPD patients.

BACKGROUND AND OBJECTIVE: A multidimensional assessment of COPD was recommended by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) in 2013 and revised in 2017. We examined the ability of the GOLD 2017 and the new 16 subgroup (1A-4D) classifications to predict clinical outcomes, including exacerbation and mortality, and compared them with the GOLD 2013 classifications. METHODS: Patients with COPD were recruited from January 2006 to December 2017. The predictive abilities of grades 1-4 and groups A-D were examined through a logistic regression analysis with receiver operating curve estimations and area under the curve (AUC). RESULTS: A total of 553 subjects with COPD were analyzed. The mortality rate was 48.6% during a median follow-up period of 5.2 years. Both the GOLD 2017 and the 2013 group A-D classifications had good predictive ability for total and severe exacerbations, for which the AUCs were 0.79 vs 0.77 and 0.79 vs 0.78, respectively. The AUCs for the GOLD 2017 groups A-D, grades 1-4, and the GOLD 2013 group A-D classifications were 0.70, 0.66, and 0.70 for all-cause mortality and 0.73, 0.71, and 0.74 for respiratory cause mortality, respectively. Combining the spirometric staging with the grouping for the GOLD 2017 subgroups (1A-4D), the all-cause mortality rate for group B and D patients was significantly increased from subgroups 1B-4B (27.7%, 50.6%, 53.3%, and 69.2%, respectively) and groups 1D-4D (55.0%, 68.8%, 82.1%, and 90.5%, respectively). The AUCs of subgroups (1A-4D) were 0.73 and 0.77 for all-cause and respiratory mortality, respectively; the new classification was determined more accurate than the GOLD 2017 for predicting mortality (P<0.0001). CONCLUSION: The GOLD 2017 classification performed well by identifying individuals at risk of exacerbation, but its predictive ability for mortality was poor among COPD patients. Combining the spirometric staging with the grouping increased the predictive ability for all-cause and respiratory mortality. SUMMARY AT A GLANCE: We validate the ability of the GOLD 2017 and 16 subgroup (1A-4D) classifications to predict clinical outcome for COPD patients. The GOLD 2017 classification performed well by identifying individuals at risk of exacerbation, but its predictive ability for mortality was poor. The new 16 subgroup (1A-4D) classification combining the spirometric 1-4 staging and the A-D grouping increased the predictive ability for mortality and was better than the GOLD 2017 for predicting all-cause and respiratory mortality among COPD patients.