GOLD Classifications, COPD Hospitalization, and All-Cause Mortality in Chronic Obstructive Pulmonary Disease: The HUNT Study

Prediction of Hospitalization and Mortality in Patients with Chronic Obstructive Pulmonary Disease with the New Global Initiative for Chronic Obstructive Lung Disease 2023 Group Classification: A Prospective Cohort and a Retrospective Analysis

Background

The revised Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2023 group ABE classification has undergone major modifications, which can simplify clinical assessment and optimize treatment recommendations for Chronic Obstructive Pulmonary Disease (COPD). However, the predictive value of the new grouping classification for prognosis is worth further exploration. We aimed to compare the prediction of hospitalization and mortality between this new GOLD group 2023 ABE classification and the earlier 2017 ABCD classification in a Chinese COPD cohort.

Methods

Data from 2,499 outpatients with COPD, who first registered in the RealDTC study of Second Xiangya Hospital from December 2016 to December 2019, were collected prospectively and assessed retrospectively. Patients were followed up on all-cause mortality until October 2022 or death.

Results

Of the 2,499 patients with COPD, the risk of hospitalization during the first-year follow-up was higher in group E than in groups A and B. The mortality was higher in group E than in groups A and B, and group B was higher than group A. No differences were seen in the area under the curve (AUC) of 2017 vs 2023 GOLD grouping to predict hospitalization. The time-dependent AUC and concordance index for predicting mortality is slightly higher in the GOLD 2017 ABCD than in the 2023 ABE groups. The new GOLD 12-subgroup (1A-4E) classification combining the GOLD 1-4 staging and grouping performed similarly discriminate predictive power for mortality to the GOLD 2017 16-subgroup (A1-4D) classification.

Conclusion

The risk of hospitalization during the first-year follow-up was higher in group E than in groups A and B. The all-cause mortality increased gradually from GOLD group A to E. The GOLD 2023 classification based on ABE groups did not predict mortality better than the earlier 2017 ABCD classifications.

Effects of the Chinese herbal formula San-Huang Gu-Ben Zhi-Ke treatment on stable chronic obstructive pulmonary disease: a randomized, double-blind, placebo-controlled trial

Objective: The aim of this study was to evaluate the efficacy and safety of the Chinese herbal formula San-Huang Gu-Ben Zhi-Ke (SHGBZK) as a treatment for patients with stable chronic obstructive pulmonary disease (COPD) diagnosed with lung-spleen Qi deficiency. Method: A randomized, double-blind, placebo-controlled trial was designed. 98 adults aged between 40 and 80 years with stable COPD diagnosed with lung-spleen Qi deficiency were included. All participants received basic treatment for COPD. Patients in the experimental group took SHGBZK, while the control group took placebo. The primary outcome was the frequency of acute exacerbation. The secondary outcomes were lung function, symptom score, exercise capacity and quality of life. Results: Of 98 patients who underwent randomization, 50 patients in the SHGBZK group and 48 in the placebo group were included in the full analysis set. After 24-week therapy and 28-week follow-up, patients in treatment group had significant improvements in symptom, exercise capacity and quality of life. After Subgroup analysis, the frequency of acute exacerbation in patients with a COPD Assessment Test (CAT) score of at least 10 or a modified Medical Research Council (mMRC) score of at least 2 was significantly lower in the SHGBZK group than in the placebo group. Lung function in patients with frequent exacerbation was significantly higher in the SHGBZK group than in the placebo group. The incidence of adverse events was generally similar in the two groups. Conclusion: SHGBZK had beneficial effects on symptom, exercise capacity and quality of life in stable COPD patients. SHGBZK also had the potential to reduce the frequency of exacerbation and improve lung function in specific groups of COPD patients. Clinical Trial Registration: https://www.chictr.org.cn/showproj.html?proj=26933, identifier ChiCTR1800016349.

Budget impact analysis of a digital monitoring platform for COPD

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is a progressive debilitating condition with frequent exacerbations that have a high burden for patients and society. Digital tools may help to reduce the economic burden for patients and payers by improving outcomes. The Propeller platform is a digital self-management tool that facilitates passive monitoring of inhaler medication utilization, potentially assisting the healthcare team to identify patients at risk of a COPD exacerbation who may require further intervention. This study estimated the budget impact of Propeller from commercial payer and Medicare fee-for-service payer perspectives.

METHODS

An Excel-based model was used to estimate the budget impact of Propeller for COPD patients in commercial and Medicare population sizes of 5 million members. Data on prevalence, baseline healthcare resource utilization (HCRU), and baseline use of rescue and controller inhaler medications with unit costs (adjusted to 2020 US dollars) were obtained from peer-reviewed literature. Data on reductions in HCRU during Propeller usage were based on direct evidence. Estimates for costs of remote monitoring were obtained from publicly available information. All patients were assumed to have insurance claims related to ongoing remote monitoring.

RESULTS

The estimated number of annual eligible COPD patients for commercial and Medicare was 212,200 and 606,600, respectively. Propeller decreased costs by an estimated $2,475 (commercial) and $915 (Medicare) per enrolled patient. The greatest increase in expenditure was for remote monitoring related expenses. After accounting for estimated reductions in hospitalizations, emergency department visits and short-acting beta-agonist use, total net savings were approximately $1.60 and $1.70 per-member per-month for commercial and Medicare payers, respectively.

CONCLUSION

Propeller is projected to be cost saving from both the commercial and Medicare payer perspectives.

Levels of immunoglobulin isotypes in serum and respiratory samples of patients with chronic obstructive pulmonary disease: protocol for a systematic review and meta-analysis

INTRODUCTION

Chronic obstructive pulmonary disease (COPD) is an inflammatory respiratory disorder characterised by the progressive worsening of lung function. Acute exacerbation of COPD (AECOPD) is a leading contributor to patient morbidity, mortality and hospitalisations. The clinical significance of immunoglobulin (Ig) levels in COPD patients is not well established and is in need of further investigation.

METHODS AND ANALYSIS

We will conduct a systematic review to describe levels of different Ig isotypes (IgG, IgA and IgM) in various samples (serum, sputum and bronchoalveolar lavage) of patients with COPD. IgE levels in COPD patients have been researched and reviewed extensively and hence will be excluded from this review. IgD levels will also be excluded from the review as there is a paucity of data on IgD levels in COPD patients. The primary outcome of interest in this systematic review is assessing Ig isotype levels in patients with COPD. Secondary outcomes that will be assessed include the differences between Ig isotype levels in COPD patients compared with healthy controls, as well as the relationships between Ig isotype levels and key clinical variables, including COPD severity, incidence of AECOPD and AECOPD severity. Embase and Ovid MEDLINE will be used to search for non-randomised studies published from 1946 to October 2022 that report our prespecified primary and secondary outcomes. As per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol, retrieved studies will undergo a two-phase screening process conducted by two independent reviewers. Prespecified primary and secondary outcomes will be extracted from eligible studies, and descriptive statistics will be used to analyse extracted outcomes. The risk of bias will be assessed using the Risk Of Bias In Non-randomised Studies - of Interventions (ROBINS-I) tool.

ETHICS AND DISSEMINATION

Ethics approval is not required as this is a protocol for a systematic review and meta-analysis. Findings will be disseminated through peer-reviewed publications and other formats including conference presentations.

PROSPERO REGISTRATION NUMBER

CRD42020192220.

MAIT cell counts are associated with the risk of hospitalization in COPD

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is characterized by persistent airflow limitation associated with chronic inflammation in the airways. Mucosal-associated invariant T (MAIT) cells are unconventional, innate-like T cells highly abundant in mucosal tissues including the lung. We hypothesized that the characteristics of MAIT cells in circulation may be prospectively associated with COPD morbidity.

METHODS

COPD subjects (n = 61) from the Tools for Identifying Exacerbations (TIE) study were recruited when in stable condition. At study entry, forced expiratory volume in 1 s (FEV₁) was measured and peripheral blood mononuclear cells were cryopreserved for later analysis by flow cytometry. Patients were followed for 3 years to record clinically meaningful outcomes.

RESULTS

Patients who required hospitalization at one or more occasions during the 3-year follow-up (n = 21) had lower MAIT cell counts in peripheral blood at study inclusion, compared with patients who did not get hospitalized (p = 0.036). In contrast, hospitalized and never hospitalized patients did not differ in CD8 or CD4 T cell counts (p = 0.482 and p = 0.221, respectively). Moreover, MAIT cells in hospitalized subjects showed a more activated phenotype with higher CD38 expression (p = 0.014), and there was a trend towards higher LAG-3 expression (p = 0.052). Conventional CD4 and CD8 T cells were similar between the groups. Next we performed multi-variable logistic regression analysis with hospitalizations as dependent variable, and FEV₁, GOLD 2017 group, and quantity or activation of MAIT and conventional T cells as independent variables. MAIT cell count, CD38 expression on MAIT cells, and LAG-3 expression on both MAIT and CD8 T cells were all independently associated with the risk of hospitalization.

CONCLUSIONS

These findings suggest that MAIT cells might reflect a novel, FEV₁-independent immunological dimension in the complexity of COPD. The potential implication of MAIT cells in COPD pathogenesis and MAIT cells' prognostic potential deserve further investigation.

Establishing Quality of Life in Southern Taiwan COPD Patients Using Long-Acting Bronchodilator

Background

To assess the health-related quality of life (HRQoL) of Taiwan patients with different stages of chronic obstructive pulmonary disease (COPD) and using different combination therapies and to explore the factors affecting HRQoL in these patients.

Methods

This cross-sectional study included outpatient participants aged 35 years old and older who were receiving long-acting bronchodilator treatment in one of two hospitals in Southern Taiwan. Participants were categorized according to their Global Initiative for Obstructive Lung Disease (GOLD) classification as either their COPD group, based on symptoms and exacerbation risk, or their COPD stage, based on spirometry results. Patients' HRQoL was assessed using the St. George's Respiratory Questionnaire score (SGRQ), World Health Organization Quality of Life Quality of Life-BREF (WHOQOL-BREF), and EQ-5D-5L. The total scores of the SGRQ, WHOQOL-BREF, EQ-5D utility index, and EQ-VAS were presented as mean ± standard deviation (SD) among different combination treatments. Univariate and multivariate analyses were used to explore the association of patients' baseline characteristics and environmental factors with HRQoL.

Results

A total of 218 patients were enrolled in the study. The distribution of patients using GOLD group classification were as follows: 73.39% in group A, 20.19% group B, 1.83% group C and 4.59% group D. Triple therapy patients mostly showed a lower quality of life than other combination therapies, regardless of the GOLD classification system. However, only the SGRQ scores of GOLD groups A and B were significantly different when using different drug combinations (p-value = 0.0072 and 0.0430, respectively). The COPD assessment test (CAT) score, a questionnaire to assess impact of COPD on health status, was found to be associated with all the questionnaires.

Conclusion

The HRQoL is impaired in patients with COPD, and it deteriorates with an increase of severity. The CAT was the strongest predictor of HRQoL.

Daily Vegetables Intake and Response to COPD Rehabilitation. The Role of Oxidative Stress, Inflammation and DNA Damage

Chronic obstructive pulmonary disease (COPD) is a respiratory disease associated with airways inflammation and lung parenchyma fibrosis. The primary goals of COPD treatment are to reduce symptoms and risk of exacerbations, therefore pulmonary rehabilitation is considered the key component of managing COPD patients. Oxidative airway damage, inflammation and reduction of endogenous antioxidant enzymes are known to play a crucial role in the pathogenesis of COPD. Recently, also natural antioxidants have been considered as they play an important role in metabolism, DNA repair and fighting the effects of oxidative stress. In this paper we evaluated the response of 105 elderly COPD patients to pulmonary rehabilitation (PR), based on high or low vegetable consumption, by analyzing clinical parameters and biological measurements at baseline and after completion of the three weeks PR. We found that daily vegetable intake in normal diet, without any specific intervention, can increase the probability to successfully respond to rehabilitation (65.4% of responders ate vegetables daily vs. 40.0% of non-responders, p = 0.033). The association was especially evident in subjects ≥ 80 year of age (OR = 17.0; p < 0.019). Three weeks of pulmonary rehabilitation are probably too short to reveal a reduction of the oxidative stress and DNA damage, but are enough to show an improvement in the patient’s inflammatory state.

Chronic Obstructive Pulmonary Disease: Epidemiology, Biomarkers, and Paving the Way to Lung Cancer

Chronic obstructive pulmonary disease (COPD), the frequently fatal pathology of the respiratory tract, accounts for half a billion cases globally. COPD manifests via chronic inflammatory response to irritants, frequently to tobacco smoke. The progression of COPD from early onset to advanced disease leads to the loss of the alveolar wall, pulmonary hypertension, and fibrosis of the respiratory epithelium. Here, we focus on the epidemiology, progression, and biomarkers of COPD with a particular connection to lung cancer. Dissecting the cellular and molecular players in the progression of the disease, we aim to shed light on the role of smoking, which is responsible for the disease, or at least for the more severe symptoms and worse patient outcomes. We summarize the inflammatory conditions, as well as the role of EMT and fibroblasts in establishing a cancer-prone microenvironment, i.e., the soil for ‘COPD-derived’ lung cancer. We highlight that the major health problem of COPD can be alleviated via smoking cessation, early diagnosis, and abandonment of the usage of biomass fuels on a global basis.

Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in Indonesia

BACKGROUND AND OBJECTIVES

Diagnosis of Pulmonary Rifampicin Resistant Tuberculosis (RR-TB) with the Drug-Susceptibility Test (DST) is costly and time-consuming. Furthermore, GeneXpert for rapid diagnosis is not widely available in Indonesia. This study aims to develop and evaluate the CUHAS-ROBUST model performance, an artificial-intelligence-based RR-TB screening tool.

METHODS

A cross-sectional study involved suspected all type of RR-TB patients with complete sputum Lowenstein Jensen DST (reference) and 19 clinical, laboratory, and radiology parameter results, retrieved from medical records in hospitals under the Faculty of Medicine, Hasanuddin University Indonesia, from January 2015-December 2019. The Artificial Neural Network (ANN) models were built along with other classifiers. The model was tested on participants recruited from January 2020-October 2020 and deployed into CUHAS-ROBUST (index test) application. Sensitivity, specificity, and accuracy were obtained for assessment.

RESULTS

A total of 487 participants (32 Multidrug-Resistant/MDR 57 RR-TB, 398 drug-sensitive) were recruited for model building and 157 participants (23 MDR and 21 RR) in prospective testing. The ANN full model yields the highest values of accuracy (88% (95% CI 85-91)), and sensitivity (84% (95% CI 76-89)) compare to other models that show sensitivity below 80% (Logistic Regression 32%, Decision Tree 44%, Random Forest 25%, Extreme Gradient Boost 25%). However, this ANN has lower specificity among other models (90% (95% CI 86-93)) where Logistic Regression demonstrates the highest (99% (95% CI 97-99)). This ANN model was selected for the CUHAS-ROBUST application, although still lower than the sensitivity of global GeneXpert results (87.5%).

CONCLUSION

The ANN-CUHAS ROBUST outperforms other AI classifiers model in detecting all type of RR-TB, and by deploying into the application, the health staff can utilize the tool for screening purposes particularly at the primary care level where the GeneXpert examination is not available.

TRIAL REGISTRATION

NCT04208789.

Medical Electronic Prescription for Home Respiratory Care Services (PEM-CRD) at a Portuguese University Tertiary Care Centre (2014–2018): A Case Study

Home respiratory care (HRC) is the provision of healthcare services at the place of residence of patients or their families, with the aim of meeting needs mainly resulting from chronic respiratory conditions, permanent disability, or terminal illness. In 2016, an innovative electronic prescription system, PEM-CRD, was fully implemented for HRC services in Portugal. To date, no study has addressed the impact of the execution of this digital innovation. For this purpose, we carried out an analysis of the prevalence and number of prescriptions for people with chronic respiratory diseases receiving HRC in the Lisbon metropolitan area, during 2014–2018, using the information obtained from the PEM-CRD database. The data analysis shows that while the number of patients receiving HRC treatment with a prescription has remained stable over the last four years, the number of prescriptions has significantly dropped since 2016 (2016–2018), with consequent paper and processes efficiency. The implementation of the digital Medical Electronic Prescription for Home Respiratory Care tool (PEM-CRD) and consequent dematerialization of these processes has increased the efficiency of prescribing in HRC. Additionally, the possibility of obtaining data through the PEM-CRD allows the monitoring of the evolving prevalence of therapies, improving the health services optimization and allowing reporting on data other than medicines.