BACKGROUND: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are associated with high mortality, morbidity, and poor quality of life and constitute a substantial burden to patients and health care systems. New approaches to prevent or reduce the severity of AECOPD are urgently needed. Internationally, this has prompted increased interest in the potential of remote patient monitoring (RPM) and digital medicine. RPM refers to the direct transmission of patient-reported outcomes, physiological, and functional data, including heart rate, weight, blood pressure, oxygen saturation, physical activity, and lung function (spirometry), directly to health care professionals through automation, web-based data entry, or phone-based data entry. Machine learning has the potential to enhance RPM in chronic obstructive pulmonary disease by increasing the accuracy and precision of AECOPD prediction systems.
OBJECTIVE: This study aimed to conduct a dual systematic review. The first review focuses on randomized controlled trials where RPM was used as an intervention to treat or improve AECOPD. The second review examines studies that combined machine learning with RPM to predict AECOPD. We review the evidence and concepts behind RPM and machine learning and discuss the strengths, limitations, and clinical use of available systems. We have generated a list of recommendations needed to deliver patient and health care system benefits.
METHODS: A comprehensive search strategy, encompassing the Scopus and Web of Science databases, was used to identify relevant studies. A total of 2 independent reviewers (HMGG and CM) conducted study selection, data extraction, and quality assessment, with discrepancies resolved through consensus. Data synthesis involved evidence assessment using a Critical Appraisal Skills Programme checklist and a narrative synthesis. Reporting followed PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.
RESULTS: These narrative syntheses suggest that 57% (16/28) of the randomized controlled trials for RPM interventions fail to achieve the required level of evidence for better outcomes in AECOPD. However, the integration of machine learning into RPM demonstrates promise for increasing the predictive accuracy of AECOPD and, therefore, early intervention.
CONCLUSIONS: This review suggests a transition toward the integration of machine learning into RPM for predicting AECOPD. We discuss particular RPM indices that have the potential to improve AECOPD prediction and highlight research gaps concerning patient factors and the maintained adoption of RPM. Furthermore, we emphasize the importance of a more comprehensive examination of patient and health care burdens associated with RPM, along with the development of practical solutions.

BACKGROUND: Nonattendance at scheduled outpatient visits among children with asthma has been associated with an increased risk of acute asthma events and increased health care expenses. Specific risk factors for nonattendance have been suggested, but a comprehensive overview is lacking.
OBJECTIVE: To investigate risk factors for nonattendance among children with asthma and assess whether nonattendance associates with acute events through a systematic review and meta-analysis.
METHODS: The study (PROSPERO: CRD42023471893) was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines using the PubMed, Ovid MEDLINE, Embase, ClinicalTrials.gov, and Cochrane Library databases and search terms \"asthma/wheeze,\" \"child,\" and \"nonattendance.\" Original peer-reviewed studies in English were included and evaluated for risk of bias using the Newcastle Ottawa scale. A meta-analysis was performed for all risk factors. Finally, we analyzed whether nonattendance was associated with the risk of acute events.
RESULTS: A total of 17 studies encompassing 27,023 children with asthma were included. The meta-analysis was performed on 11 eligible studies, with 25,948 children, and identified the following risk factors for nonattendance; teenage versus preteen (odds ratio [OR] 1.26; 95% confidence interval [95% CI] 1.06-1.49; P < .01), non-White versus White ethnicity (OR 1.51; 95% CI 1.04-2.18; P = .03) and lower disease severity (OR 1.41; 95% CI 1.13-1.77; P < .01). There were no significant findings in the meta-analysis for insurance status, atopy, sex, or rural residence. Nonattendance associated with an increased risk of acute asthma events (OR 1.11; 95% CI 1.07-1.16; P < .01).
CONCLUSIONS: This systematic review and meta-analysis identified specific risk factors to facilitate the development of a strategy against nonattendance for pediatric patients with asthma. This is particularly important given nonattendance being associated with an increased risk of acute asthma.

Cystic fibrosis is the most common autosomal recessive disease in the Caucasian race. Its course is chronic and progressive, with pulmonary involvement being associated with greater morbidity and mortality. One of the factors most related to worse prognosis in these patients is respiratory exacerbations. Although limited, there is evidence demonstrating that increased exposure to environmental pollution, both acute and chronic, is associated with an increase in these exacerbations. It is crucial to fully understand this relationship in order to attempt to improve the respiratory health of these patients. That is why the available evidence is reviewed and measures are established to reduce exposure to pollutants.

UNASSIGNED: The effectiveness of different combinations of inhaled corticosteroid (ICS) therapies in reducing severe exacerbations of adult asthma remains unclear.
UNASSIGNED: This network meta-analysis (NMA) extensively evaluated the treatment effects of single ICS; dual ICS i.e., ICS/long-acting β2-adrenergic agonists (LABA); ICS/LABA as single maintenance and reliever therapy (SMART); and triple ICS, i.e., ICS/LABA/long-acting muscarinic antagonists (LAMA) in preventing severe asthma exacerbations.
UNASSIGNED: A systematic search of English databases, including PubMed and Web of Science, was conducted until December 31, 2022, using PRISMA-NMA.
UNASSIGNED: Using the PICOS criteria, the questions for this study were carefully selected so that the correct keywords could be identified.
UNASSIGNED: A pairwise meta-analysis was used to select trials based on the criteria for minimizing heterogeneity (I2). Subsequently, the \"BUGSnet\" package of R software was used to perform a Bayesian network meta-analysis.
UNASSIGNED: The main outcome measures were risk rate and annualized rate ratio of severe asthma exacerbations.
UNASSIGNED: This review included 56 randomized control trials (RCTs; n = 78,171 patients). As the pairwise meta-analysis demonstrated that the annualized rate ratio of severe asthma exacerbation had moderate heterogeneity, we analyzed the risk rate of severe asthma exacerbation using a network meta-analysis. In terms of direct/indirect comparisons with non-ICS, single ICS, dual ICS, SMART, and triple ICS reduced severe asthma exacerbations by 34 %, 47 %, 58 %, and 57 %, respectively. SMART and triple ICS showed high effectiveness in reducing severe exacerbations.
UNASSIGNED: AND RELEVANCE: SMART and triple ICS were ranked higher in effectiveness in reducing severe asthma exacerbations in comparison with other therapies, indicating that these are the most effective treatments for reducing the future risk of severe asthma exacerbations.

UNASSIGNED: Inhaled corticosteroid (ICS) therapy has been demonstrated to reduce the risk of COPD exacerbations. It should only be prescribed to COPD patients who are not adequately controlled by dual long-acting bronchodilator therapy and who have ≥2 exacerbations per year and a blood eosinophil count ≥300cells/µL. ICS therapy is widely prescribed outside guidelines to COPD patients, making ICS withdrawal an important consideration. This systematic review aims to provide an up-to-date analysis of the effect of ICS withdrawal on exacerbation frequency, change in lung function (FEV1) and to determine the proportion of COPD patients who resume ICS therapy following withdrawal.
UNASSIGNED: Randomised controlled trials (RCTs) and observational studies which compared ICS withdrawal with ICS continuation treatment were included. Cochrane Central, Web of Science, CINHAL, Embase and OVID Medline were searched. Risk of bias was assessed using the Cochrane RoB2 tool and the Newcastle-Ottawa Scale. Quality assessment of RCTs was conducted using GRADE. Meta-analysis of post-hoc analyses of RCTs of ICS withdrawal, stratified by blood eosinophil count (BEC), was undertaken.
UNASSIGNED: Ten RCTs (6642 patients randomised) and 6 observational studies (160,029 patients) were included in the results. When ICS was withdrawn and long-acting bronchodilator therapy was maintained, there was no consistent difference in exacerbation frequency or lung function change between the ICS withdrawal and continuation trial arms. The evidence for these effects was of moderate quality. There was insufficient evidence to draw a firm conclusion on the proportion of patients who resumed ICS therapy following withdrawal (estimated range 12-93% of the participants).
UNASSIGNED: Withdrawal of ICS therapy from patients with COPD is safe and feasible but should be accompanied by maintenance of bronchodilation therapy for optimal outcomes.

UNASSIGNED: Chronic Obstructive Pulmonary Disease (COPD) and cardiovascular diseases (CVD) commonly co-exist. Outcomes of people living with both conditions are poor in terms of symptom burden, receiving evidence-based treatment and mortality. Increased understanding of the underlying mechanisms may help to identify treatments to relieve this disease burden. This narrative review covers the overlap of COPD and CVD with a focus on clinical presentation, mechanisms, and interventions. Literature up to December 2023 are cited.
UNASSIGNED: 1. What is COPD 2. The co-existence of COPD and cardiovascular disease 3. Mechanisms of cardiovascular disease in COPD. 4. Populations with COPD are at risk of CVD 5. Complexity in the co-diagnosis of COPD in those with cardiovascular disease. 6. Therapy for COPD and implications for cardiovascular events and risk. 7. Cardiovascular risk and exacerbations of COPD. 8. Pro-active identification and management of CV risk in COPD.
UNASSIGNED: The prospective identification of co-morbid COPD in CVD patients and of CVD and CV risk in people with COPD is crucial for optimizing clinical outcomes. This includes the identification of novel treatment targets and the design of clinical trials specifically designed to reduce the cardiovascular burden and mortality associated with COPD. Databases searched: Pubmed, 2006-2023.

Exacerbations of chronic obstructive pulmonary disease (COPD) are associated with loss of lung function, poor quality of life, loss of exercise capacity, risk of serious cardiovascular events, hospitalization, and death. However, patients underreport exacerbations, and evidence suggests that unreported exacerbations have similar negative health implications for patients as those that are reported. Whilst there is guidance for physicians to identify patients who are at risk of exacerbations, they do not help patients recognise and report them. Newly developed tools, such as the COPD Exacerbation Recognition Tool (CERT) have been designed to achieve this objective. This review focuses on the underreporting of COPD exacerbations by patients, the factors associated with this, the consequences of underreporting, and potential solutions.

Patients with uncontrolled, allergic severe asthma may be prescribed biologic therapies to reduce exacerbations and improve disease control. Randomized controlled trials (RCTs) of these therapies have differed in design, with varying results overall and by baseline blood eosinophil count (BEC). This study describes published annualized asthma exacerbation rate (AAER) reductions from RCTs in patients with allergic severe asthma, overall and by baseline BEC category. A literature search was performed to identify published phase 3 RCT data of US Food and Drug Administration-approved biologics for severe asthma in patients with severe, uncontrolled asthma and confirmed sensitization to perennial aeroallergens. Analyses focused on AAER reduction versus placebo in the overall population and/or in those with an elevated or low BEC at baseline or screening. Baseline serum total immunoglobulin E levels varied between RCT populations. In patients with allergic severe asthma across all BEC categories, data were available for tezepelumab, dupilumab, benralizumab and omalizumab only; the greatest AAER reduction was observed with tezepelumab. In patients with allergic severe asthma and BECs of ≥ 260 cells/µL or ≥ 300 cells/μL, AAER reductions were observed with all biologics (tezepelumab, dupilumab, mepolizumab, benralizumab and omalizumab); the greatest AAER reduction was observed with tezepelumab and the smallest AAER reduction was observed with omalizumab. In patients with allergic severe asthma and BECs of < 260 cells/µL or < 300 cells/μL (regardless of historical BEC), an AAER reduction was observed with tezepelumab but not with benralizumab or omalizumab. Differential mechanisms of action may explain the differences in results observed between biologics. Among patients with allergic severe asthma, the efficacy of biologics in RCTs varied considerably overall and by BEC. Tezepelumab was the only biologic to demonstrate AAER reductions consistently across all subgroups. These differences can inform provider treatment decisions when selecting biologic treatments for patients with allergic severe asthma.

Randomized controlled trials (RCTs) of biologics in patients with severe, uncontrolled asthma have shown differential results by baseline blood eosinophil count (BEC). In the absence of head-to-head trials, we describe the effects of biologics on annualized asthma exacerbation rate (AAER) by baseline BEC in placebo-controlled RCTs. Exacerbations associated with hospitalization or an emergency room visit, pre-bronchodilator forced expiratory volume in 1 s, Asthma Control Questionnaire score, and Asthma Quality of Life Questionnaire score were also summarized.
MEDLINE (via PubMed) was searched for RCTs of biologics in patients with severe, uncontrolled asthma and with AAER reduction as a primary or secondary endpoint. AAER ratios and change from baseline in other outcomes versus placebo were compared across baseline BEC subgroups. Analysis was limited to US Food and Drug Administration-approved biologics.
In patients with baseline BEC ≥ 300 cells/μL, AAER reduction was demonstrated with all biologics, and other outcomes were generally improved. In patients with BEC 0 to < 300 cells/μL, consistent AAER reduction was demonstrated only with tezepelumab; improvements in other outcomes were inconsistent across biologics. In patients with BEC 150 to < 300 cells/μL, consistent AAER reduction was demonstrated with tezepelumab and dupilumab (300 mg dose only), and in those with BEC 0 to < 150 cells/μL, AAER reduction was demonstrated only with tezepelumab.
The efficacy of all biologics in reducing AAER in patients with severe asthma increases with higher baseline BEC, with varying profiles across individual biologics likely due to differing mechanisms of action.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is one of the main causes of death and disability worldwide. Many treatment options are now available, but criteria for choosing inhaled bronchodilators and inhaled corticosteroids have been under discussion. New trials have highlighted the role of patient`s characteristics, such as eosinophil count and exacerbation history, in selecting the most effective personalised treatment option.
METHODS: In this conceptual review, an in-depth rationale is developed with an integrative approach to COPD treatment, gathering data from the main clinical trials performed so far and that may provide support for actual GOLD 2023 recommendations.
RESULTS: According to the patient\'s characteristics and profile, different treatment options, including mono, dual and triple therapies, are presented in a diagram matrix, comparing their efficacy in terms of reduction of exacerbations and mortality risk.
CONCLUSIONS: Eosinophil counts and past exacerbation profile may play equally relevant roles to predict the individual risk and the potential response to inhaled corticosteroids. Thus, a comprehensive approach considering these two predictors is needed to aid clinicians decide preventative actions and choice of a first-line or step-up treatment.