Advances in respiratory medicine最新文献

Background: Pulmonary hypertension (PH) is a frequent complication in patients with interstitial lung disease (ILD); its occurrence results in significant morbidity and mortality. Currently approved treatment options for PH-ILD include inhaled prostacyclin therapy, although this approach may be insufficient in patients who have developed simultaneous right ventricular failure. Moreover, there is no available treatment algorithm regarding the optimal therapy and timing of lung transplant referral for PH-ILD patients based on disease severity.

Design/methods: In this study, we created such a tool to guide PH-specific therapy in PH-ILD patients, especially as further treatment strategies are developed. We developed a 4-point PH-ILD Severity score that integrated both subjective and objective information (WHO FC, CI, TAPSE, PVR) from retrospective analysis of 57 PH-ILD patients.

Results: A score of 3 or greater in the PH-ILD Severity score yielded an AUC of 0.831 (p < 0.001) for the composite endpoint of clinical worsening (hospitalization due to a cardiopulmonary indication; decrease in 6 min walk distance by >15% at 2 consecutive visits; all-cause mortality; lung transplantation).

Conclusions: Further confirmation and evolution of this PH-ILD Severity score will assist in the development of optimal treatment plans in ILD patients diagnosed with concomitant PH.

Background: Uncontrolled asthma remains a significant clinical challenge, often linked to impaired lung function and increased diaphragmatic workload. Recent studies have shown promising results using a triple inhaled therapy comprising beclomethasone dipropionate/formoterol fumarate/glycopyrronium (BDP/FF/G). This study assessed the real-world efficacy of BDP/FF/G on lung function and diaphragmatic workload in patients with uncontrolled asthma. Methods: A prospective observational study enrolled 21 adult patients diagnosed with uncontrolled asthma despite high-dose ICS/LABA therapy. Patients underwent lung function tests and right diaphragmatic ultrasound assessments at baseline and after three months of treatment with BDP/FF/G (172/5/9 mcg, administered as two inhalations every 12 h). Results: After three months, significant improvements were observed in FEV₁ (from 57.75 ± 12.30% to 75.10 ± 18.94%, p < 0.001) and FEF_25-75 (from 47.80 ± 19.23% to 75.10 ± 36.06%, p < 0.001). Additionally, during the same period, we recorded significant reductions in residual volume (from 130.10 ± 28.20% to 92.55 ± 21.18%, p < 0.001) and total airway resistance (R_tot) (from 164.60 ± 83.21% to 140.70 ± 83.25%, p < 0.05). The mean asthma control test (ACT) score increased by 5.6 points (p < 0.001), surpassing the established minimal clinically important difference (MCID) of 3 points and raising the cohort mean above the well-controlled threshold. The right diaphragmatic workload was significantly decreased, as shown by a reduction in thickening fraction (TF) (from 63.86 ± 17.67% to 40.29 ± 16.65%, p < 0.01). Correlation analysis indicated significant associations between diaphragmatic function and some lung function parameters (FEV₁, FEF_25-75, and R_tot). Conclusions: In this real-world pilot, triple BDP/FF/G was linked to improvements in airflow, hyperinflation, symptoms, and a reduction in diaphragmatic thickening fraction, indicating potential physiological benefit. Due to the small sample size, single-centre design, and 3-month follow-up, these results should be viewed as hypothesis-generating and need to be confirmed in larger, controlled, multicentre studies with longer follow-up.

Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality worldwide. Accurate determination of epidermal growth factor receptor (EGFR) mutation status is essential for selecting patients eligible for tyrosine kinase inhibitors (TKIs). However, invasive genotyping is often limited by tissue accessibility and sample quality. This study presents a non-invasive machine learning model combining clinical data, CT morphological features, and radiomic descriptors to predict EGFR mutation status. A retrospective cohort of 138 patients with confirmed EGFR status and pre-treatment CT scans was analyzed. Radiomic features were extracted with PyRadiomics, and feature selection applied mutual information, Spearman correlation, and wrapper-based methods. Five Random Forest models were trained with different feature sets. The best-performing model, based on 11 selected variables, achieved an AUC of 0.91 (95% CI: 0.81-1.00) under stratified five-fold cross-validation, with an accuracy of 0.88 ± 0.03. Subgroup analysis showed that EGFR-WT had a performance of precision 0.93 ± 0.04, recall 0.92 ± 0.03, F1-score 0.91 ± 0.02, and EGFR-Mutant had a performance of precision 0.76 ± 0.05, recall 0.71 ± 0.05, F1-score 0.68 ± 0.04. SHapley Additive exPlanations (SHAP) analysis identified tobacco use, enhancement pattern, and gray-level-zone entropy as key predictors. Decision curve analysis confirmed clinical utility, supporting its role as a non-invasive tool for EGFR-screening.

Respiratory infections and chronic lung disease are major contributors to morbidity in children. Aztreonam lysine for inhalation (AZLI) delivers high local antibiotic concentrations while limiting systemic exposure; however, its safety in younger patients remains uncertain. This systematic review and meta-analysis searched MEDLINE, CENTRAL, and Google Scholar for randomized and observational studies reporting adverse events in children and adolescents (≤18 years) receiving AZLI, with no date limit. Fourteen studies were included. Most studies were moderate-to-high quality. Comparative analysis showed no clinically relevant increase in common adverse events relative to placebo or other inhaled antibiotics. The pooled relative risk for severe respiratory disorders (grade 3/4) was 1.65 (95% CI 1.07-2.57), suggesting a higher incidence of serious respiratory events, while a protective effect against decline in pulmonary function was observed (RR 0.70, 95% CI 0.54-0.90). Adverse events were generally mild; serious adverse events and hospitalizations were infrequent and comparable between groups. Cumulative prevalence estimates indicated that respiratory irritation occurred in 10-25% of patients, whereas systemic effects were uncommon. Overall, AZLI appears to have an acceptable tolerability and safety profile in children and adolescents, though careful monitoring is warranted, especially for severe respiratory events.

Background: Several studies focused on the importance of managing small airways disease in the treatment of severe asthma, whose improvement can improve respiratory symptoms, lung function, and airways inflammation, potentially reaching the objective of clinical remission. Methods: Twenty-five patients with severe asthma and without bronchiectasis were enrolled. They were started on biological therapies with Omalizumab, Dupilumab, Benralizumab or Mepolizumab. Follow-up evaluations were conducted at baseline (T0) and after one year of biological therapy (T1). Assessments included clinical evaluations, spirometry, questionnaires, and inflammatory markers. Results: Predictive analysis identified baseline FeNO 350 mL/s levels as a significant predictor of clinical remission in both univariable and multivariable analysis. Higher FeNO 350 mL/s levels at T0 were associated with an increased likelihood of achieving remission (p = 0.012). The optimal cutoff value for FeNO 350 mL/s was determined to be 18 ppb, based on the Younden Index. Conclusions: Following patients with severe asthma on biological therapy for one year, FeNO 350 mL/s could be used as a predictive factor of clinical remission, highlighting its importance as inflammatory marker not only in small airways disease, but also in predicting clinical remission in severe asthmatic patients.

Airway involvement in eosinophilic disorders other than asthma is not well-defined, and the symptoms may be overshadowed by other more prominent eosinophilic extra-respiratory manifestations. This study aimed to evaluate the utility of fractional exhaled nitric oxide (FeNO) in diagnosing eosinophilic airway involvement in patients with persistent eosinophilia (>0.5 × 10⁹/L). We conducted a retrospective analysis of adult patients with confirmed peripheral blood eosinophilia (>0.5 × 10⁹/L) on at least two occasions one month apart. Patients with blood eosinophilia associated with known eosinophilic airway inflammatory diseases were excluded from the study. Pulmonary function testing, spirometry, and FeNO measurement were conducted. A total of 14 patients with various eosinophil-related disorders were identified, with a mean age of 65.7 years. Increased FeNO levels were associated with airflow obstruction and clinical symptoms such as coughing and wheezing. Notably, eosinophil levels were not predictive of eosinophilic airway involvement. FeNO could be a useful diagnostic tool for detecting bronchial eosinophilic airway inflammation in non-asthmatic disorders, thereby enabling appropriate treatment. Further studies with larger cohorts are needed to validate these findings.

Haemoptysis is an alarming symptom of a wide spectrum of underlying diseases, ranging from indolent chronic conditions to life-threatening states. Among the strategies to manage pulmonary bleeding is bronchial artery embolisation (BAE), an interventional radiology procedure. The objective of this scoping review was to map the current evidence on embolic agents used in BAE for haemoptysis management, with a focus on their clinical applications, and decision-making factors. Studies published between 2019 and 2024 were included if they specified the embolic material used and reported outcomes of BAE in adult patients. Data were extracted from PubMed and charted according to embolic agent type, recurrence rate, and clinical context. Thirty-one studies met the eligibility criteria. Polyvinyl alcohol (PVA) remains the most widely studied agent, comparable in efficacy to more homogeneous microspheres. Gelatin sponges (GS), though biodegradable, are well-documented and affordable, making them a common choice. N-butyl-2-cyanoacrylate (NBCA) is highly effective for small vessels and may offer lower recurrence rates. Coils are valuable in proximal embolisation and severe cases. This review highlights the need for individualised embolisation strategies and updated guidelines for material selection, considering clinical context, vascular anatomy, and recurrence rates. The findings aim to support evidence-based decision-making in interventional radiology practice.

Since extracorporeal membrane oxygenation (ECMO) is primarily used for patients in a high-risk state and is an invasive procedure, its unique application scenarios make it difficult to recruit suitable cases for clinical trials. Therefore, large animal models have become one of the most important models for preclinical evaluation of the safety and effectiveness of ECMO. This study aims to assess the safety and performance of a novel portable ECMO device with Small-tail Han sheep. Fifteen sheep were divided into a test group (LIFEMOTION, Chinabridge, Shenzhen, China) and control group (NOVALUNG XLUNG kit 230, Xonis, Heilbronn, Germany) with veno-venous ECMO (VV-ECMO) and veno-arterial ECMO (VA-ECMO) modes. Tracheal intubation, arteriovenous access, and ECMO support were performed. Vital signs and blood laboratory tests of the subjects were monitored and recorded. The main organs were examined pathologically at the end of day fourteen. The serum protein expression profile was analyzed by protein quantification techniques. All sheep were successfully weaned from ECMO without transfusion or cannula complications. No significant differences were observed between the two groups in terms of vital signs, oxygenation, hemodynamic stability, and physiological function (p > 0.05). According to the serum protein expression profile, no significant biomarkers associated with ECMO clinical complications were identified. The LIFEMOTION ECMO device demonstrated good safety and efficacy.

Background: This study aims to determine test-retest reliability and to calculate minimal detectable change (MDC) scores for the functional capacity of the 6-minute step test (6MST) and 1 min sit-to-stand test (1-min-STST), and compare these outcomes with the 6-minute walk test (6MWT) in post-COVID-19 patients.

Methods: A total of 42 post-COVID-19 patients aged 18 years or older were recruited for this study. The post-COVID-19 patients were investigated for cardiovascular response parameters induced by a 6MWT, 6MST, and 1-min-STST on two different days, with a five-day interval between the first and second days.

Results: The test-retest reliability obtained between the initial measurement and the measurement recorded five days later in the post-COVID-19 patients was excellent for all three of the 6MWT, 6MST, and 1-min-STST. The ICC of the 6MWT was 0.97 with MDC95 at 5.57%. The ICC of the 6MST was 0.93 with MDC95 at 12.21%, while, the ICC of the 1-min-STST was 0.96 with MDC95 at 3.61%.

Conclusions: The 6MST and 1-min-STST were valid and acceptable for the evaluation of functional capacity in post- COVID-19 patients and can be used to investigate whether each post-COVID-19 patient had made significant improvement in a clinical setting.

Introduction: Asthma is a chronic airway inflammatory disease characterized by variable airflow limitation and intermittent symptoms. In well-controlled asthma, auscultation and spirometry often appear normal, making diagnosis challenging. Moreover, bronchial provocation tests carry a risk of inducing acute bronchoconstriction. This study aimed to develop a non-invasive, objective, and reproducible diagnostic method using machine learning-based lung sound analysis for the early detection of asthma, even during stable periods.

Methods: We designed a machine learning algorithm to classify controlled asthma patients and healthy individuals using respiratory sounds recorded with a digital stethoscope. We enrolled 120 participants (60 asthmatic, 60 healthy). Controlled asthma was defined according to Global Initiative for Asthma (GINA) criteria and was supported by normal spirometry, no pathological auscultation findings, and no exacerbations in the past three months. A total of 3600 respiratory sound segments (each 3 s long) were obtained by dividing 90 s recordings from 120 participants (60 asthmatic, 60 healthy) into non-overlapping clips. The samples were analyzed using Mel-Frequency Cepstral Coefficients (MFCCs) and Tunable Q-Factor Wavelet Transform (TQWT). Significant features selected with ReliefF were used to train Quadratic Support Vector Machine (SVM) and Narrow Neural Network (NNN) models.

Results: In 120 participants, pulmonary function test (PFT) results in the asthma group showed lower FEV1 (86.9 ± 5.7%) and FEV1/FVC ratios (86.1 ± 8.8%) compared to controls, but remained within normal ranges. Quadratic SVM achieved 99.86% accuracy, correctly classifying 99.44% of controls and 99.89% of asthma cases. Narrow Neural Network achieved 99.63% accuracy. Sensitivity, specificity, and F1-scores exceeded 99%.

Conclusion: This machine learning-based algorithm provides accurate asthma diagnosis, even in patients with normal spirometry and clinical findings, offering a non-invasive and efficient diagnostic tool.