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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.

This article summarises key themes from a symposium held during the recent European Respiratory Society congress, which took place in Vienna, Austria, 7-11 September 2024. The symposium was sponsored by GSK and entitled \'Striving for disease stability in COPD: Giving patients more of their best days\'. During the session, the speakers (MeiLan Han, Lowie Vanfleteren and Dave Singh) highlighted the specific challenges of chronic obstructive pulmonary disease (COPD), such as its unpredictable and unstable nature, with additional insights provided from patients with COPD in the form of video interviews. The faculty discussed whether treatment standards and goals should be more ambitious to provide all patients the stability and predictability they deserve and the opportunity to do more while living with COPD.

In this new instalment of the How I Do It: Severe Asthma series, we tackle the clinical conundrum of choosing the right biologic for the right patient with severe asthma. With 6 biologics now approved for use in this area comprising 4 different targeting strategies (anti-immunoglobulin E, omalizumab; anti-interleukin (IL)-5/5receptor, mepolizumab, reslizumab, and benralizumab; anti-IL-4receptor, dupilumab; anti-thymic stromal lymphopoietin, tezepelumab), this question is increasingly complex. Recognising that there is no head-to-head trial comparing biologics, we base our review on the expected effects of inhibiting different aspects of type-2 airway inflammation, supported whenever possible by clinical trial and real-world data. We use four variations of a case of severe uncontrolled asthma to develop concepts and considerations introduced in the previous Work-up of severe asthma installment and discuss pregnancy-, biomarker-, comorbidity-, and corticosteroid-dependency-related considerations when choosing a biologic. The related questions of deciding when, why, and how to switch from one biologic to another are also discussed. Overall, we consider that the choice between biologics should be based on the available clinical trial data for the desired efficacy outcomes; the biomarker profile of the patient; safety profiles (e.g., when pregnancy is considered); and opportunities to target two comorbidities with one biologic. Using systemic and airway biomarkers (blood eosinophils and exhaled nitric oxide (FeNO)) and other phenotypic characteristics, we suggest a framework to facilitate therapeutic decision-making. Post hoc studies and new comparative studies are urgently needed to test this framework and determine whether it allows us to make other clinically useful predictions.

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.

BACKGROUND: Asthma pathophysiology is associated with mitochondrial dysfunction. Mitochondrial DNA copy number (mtDNA-CN) has been used as a proxy of mitochondrial function, with lower levels indicating mitochondrial dysfunction in population studies of cardiovascular diseases and cancers.
OBJECTIVE: We investigate whether lower levels of mtDNA-CN are associated with asthma diagnosis, severity, and exacerbations.
METHODS: MtDNA-CN is evaluated in blood from two cohorts: UK Biobank (UKB) (asthmatics n = 39,147; non-asthmatics n = 302,302) and Severe Asthma Research Program (SARP) (n = 1283 asthmatics, non-severe n = 703).
RESULTS: Asthmatics have lower mtDNA-CN compared to non-asthmatics in UKB (beta, -0.006 [95% CI, -0.008 to -0.003], P = 6.23×10-6). Lower mtDNA-CN is associated with asthma prevalence, but not severity in UKB or SARP. mtDNA-CN declines with age but is lower in asthma than in non-asthmatics at all ages. In one-year longitudinal study in SARP, mtDNA-CN is associated with risk of exacerbation; those with highest mtDNA-CN have the lowest risk of exacerbation [OR 0.333 [95% CI, 0.173 to 0.542], P = 0.001]. Biomarkers of inflammation and oxidative stress are higher in asthma than non-asthmatics, but the lower mtDNA-CN in asthma are independent of general inflammation or oxidative stress. Mendelian Randomization (MR) studies suggest a potential causal relationship between asthma-associated genetic variants and mtDNA-CN.
CONCLUSIONS: MtDNA-CN are lower in asthmatics than in non-asthmatics and are associated with exacerbations. Low mtDNA-CN in asthma are not mediated through inflammation but are associated with the genetic predisposition to asthma.

UNASSIGNED: Asthma, a chronic inflammatory condition affecting the airways, significantly impacts both respiratory function and quality of life. Recent studies have highlighted the psychological dimensions of chronic diseases like asthma. Despite growing evidence linking asthma with various psychopathological conditions, comprehensive data remains scarce.
UNASSIGNED: This study aims to explore the psychopathological status of asthma patients and identify demographic and clinical factors associated with higher levels of psychopathological symptoms.
UNASSIGNED: Data were collected from 42 asthma patients attending the Asthma Outpatient Clinic at the University of Thessaly, Greece. Participants completed a detailed questionnaire on demographics and clinical parameters, along with the Symptoms Checklist-90 (SCL-90) to assess psychological symptoms.
UNASSIGNED: The sample included patients with varying asthma severity: 38% with severe asthma and 62% with mild-moderate asthma, with a mean age of 60.8 ± 15.6 years. Results indicated that 23.8% exhibited somatization symptoms, 23.8% showed compulsive behaviors, 33.8% reported interpersonal sensitivity, and 38.1% experienced depression and 38.1% aggressiveness. Additionally, 45.2% struggled with fearful anxiety, 4.8% showed paranoid ideation, and 11.9% had traits of psychoticism. Women had significantly higher psychopathology scores than men. Factors such as longer disease duration, uncontrolled asthma, severe asthma, and comorbid conditions like atopy and gastroesophageal reflux disease (GERD) were linked to higher psychopathological scores.
UNASSIGNED: The study found a high prevalence of psychopathological symptoms among asthma patients. Female gender, prolonged asthma duration, persistent symptoms, comorbid diseases (GERD, atopy) and greater disease severity were significantly associated with higher psychopathology, underscoring the need for integrated mental health care in asthma management.

UNASSIGNED: The study aimed to compare prevalence of comorbid allergic manifestations and rhinitis, allergy testing and associations with patient-related outcomes in patients with asthma and COPD.
UNASSIGNED: Cross-sectional study of randomly selected Swedish patients with a doctor\'s diagnosis of asthma (n = 1291) or COPD (n = 1329). Self-completion questionnaires from 2014 provided data on demographics, rhinitis, allergic symptoms at exposure to pollen or furry pets, exacerbations, self-assessed severity of disease and scores from the Asthma Control Test (ACT) and the COPD Assessment Test (CAT), and records were reviewed for allergy tests.
UNASSIGNED: Allergic manifestations were more common in asthma (75%) compared with COPD (38%). Rhinitis was reported in 70% of asthma and 58% of COPD patients. Allergy tests had been performed during the previous decade in 28% of patients with asthma and in 8% of patients with COPD.In patients with asthma; comorbid allergy and rhinitis were both independently associated with increased risk for poor asthma symptom control (ACT < 20) (OR [95% CI] 1.41 [1.05 to 1.87] and 2.13 [1.60 to 2.83]), exacerbations (1.58 [1.15 to 2.17] and 1.38 [1.02 to 1.86]), and self-assessed moderate/severe disease (1.64 [1.22 to 2.18] and 1.75 [1.33 to 2.30]). In patients with COPD, comorbid allergy and rhinitis were both independently associated with increased risk for low health status (CAT ≥ 10) (OR [95% CI] 1.46 [1.20 to 1.95] and 2.59 [1.97 to 3.41]) respectively, with exacerbations during the previous six months (1.91 [1.49 to 2.45] and 1.57 [1.23 to 2.01]), and with self-assessed moderate/severe disease (1.70 [1.31 to 2.22] and 2.13 [1.66 to 2.74]).
UNASSIGNED: Allergic manifestations and rhinitis are more common in asthma than COPD but associated with worse outcomes in both diseases. This highlights the importance of examining and treating comorbid allergy and rhinitis, not only in asthma but also in COPD.

UNASSIGNED: Most studies investigating at-risk groups for poor inhaler technique (PT) have been in adolescents. However, evidence suggests older age correlates with PT. This study aimed to correlate patient characteristics with PT in an adult asthma cohort in the Bronx.
UNASSIGNED: We categorized 237 patients with uncontrolled asthma by demonstration of good inhaler technique (GT) (n = 112) or PT (n = 58) at their initial visit. Independent variables included age, sex, ethnicity, language, insurance status, BMI, depression severity, and socioeconomic data. Two logistic regression models were created to assess odds of PT among independent variables at initial visit and odds of improvement in technique at follow-up.
UNASSIGNED: At the initial visit, patients with PT had a mean age of 53.74 (±13.54) versus 45.12 (±13.26) among those with GT (p= <0.001). The PT group also had a lower percentage of patients with private insurance (52.53% versus 71.15%, p = 0.037). When controlling for language, ethnicity, insurance status, and educational attainment, the odds of PT increased with age (OR, 1.051; CI, 1.017-1.087, p = 0.003) and BMI (OR, 1.065; CI, 1.010-1.123, p = 0.020). Males had lower odds of PT (OR, 0.379; CI, 0.144-0.997; p = 0.049). While insurance status did not affect odds of PT, Medicaid users had lower odds of improving technique (OR, 0.184; CI, 0.040-0.854; p = 0.031).
UNASSIGNED: At baseline, individuals with PT were younger and more likely to be on a public health insurance plan. Increasing age, increasing BMI, and female sex were associated with higher odds of PT at the baseline visit, but were not associated with improvements in technique.

Background: Bronchiectasis (BE) has been traditionally associated with neutrophilic inflammation, but eosinophilic bronchiectasis (EB) has recently emerged. Data about prevalence, clinical features, and disease severity are lacking. This study aimed to assess the EB prevalence, compare EB with non-EB, evaluate the Type-2 (T2) high endotype in BE (T2-high EB) versus non-T2-high EB, and identify EB predictors. Methods: We conducted a prospective study involving 153 BE patients. The data collected included clinical, radiological, and microbiological findings. BE severity was assessed using the bronchiectasis severity index (BSI), FACED and E-FACED scores, and the bronchiectasis etiology and comorbidity index (BACI). EB was defined as a blood eosinophil count (BEC) ≥ 300 cells/μL, and T2-high EB as BEC ≥ 300 cells/μL with fractional exhaled nitric oxide (FeNO) ≥ 25 ppb. Results: Prevalence was 27% for EB and 20% for T2-high EB. EB patients exhibited poorer lung function and more severe radiologic features, with significantly higher severity scores [BSI, FACED, E-FACED, BACI (p < 0.05)], and a higher median exacerbation rate [4 (2-5) in EB vs. 2 (1-4) in non-EB, p = 0.0002], compared with non-EB patients. T2-high EB patients showed higher severity scores [BSI, FACED, E-FACED (p < 0.05)], as well as worse lung function parameters [FEV1%, FVC%, FEF 25-75% (p < 0.05)] compared with non-T2-high EB patients. In our study, patients with EB exhibited notably worsened lung function and higher BE severity scores compared with their non-EB counterparts, with exacerbations playing a major role in these differences. We found statistically significant positive correlations between BEC and disease severity scores, such as BSI, FACED, and mMRC, as well as an inverse relationship with pulmonary function. The likelihood of EB being present was significantly higher in association with mMRC ≥ 1 (OR = 2.53; 95% CI, 1.26-5.64), exacerbations/year ≥ 1 (OR = 1.27; 95% CI, 1.0-1.63), and chronic PA colonization (OR = 3.9; 95% CI, 1.08-15.8). Conclusions: EB is a distinct endotype. Dyspnea, exacerbations, and PA colonization may be predictive of EB, emphasizing the importance of early detection for improved outcomes. BEC could serve as a useful biomarker of disease severity to consider when diagnosing EB.