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Introduction: The objective of this study was to compare the diagnostic performance of ultrasonography (US) and chest radiography for detecting pneumothorax in patients with trauma using a meta-analytic approach.

Methods: PubMed, Embase, and the Cochrane Library were systematically searched to identify eligible studies until March 2023. The diagnostic performance of US and chest radiography was assessed using sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic score, diagnostic odds ratio (DOR), and area under the receiver operating characteristic curve (AUC).

Results: Overall, 21 studies involving 4,087 patients with trauma were included. The overall sensitivity, specificity, PLR, NLR, diagnostic score, DOR, and AUC of US for detecting pneumothorax were 0.83, 0.99, 73.72, 0.17, 6.06, 427.80, and 0.99, respectively. The corresponding values of chest radiography for detecting pneumothorax were 0.37, 1.00, 175.59, 0.63, 5.63, 279.97, and 0.86. US was associated with a higher sensitivity (ratio: 2.24; 95% confidence interval [CI]: 1.70-2.95; p < 0.001) or AUC (ratio: 1.15; 95% CI: 1.11-1.19; p < 0.001) and lower NLR (ratio: 0.27; 95% CI: 0.17-0.43; p < 0.001) compared with chest radiography.

Conclusion: Lung US was associated with better diagnostic performance than chest radiography for detecting pneumothorax in patients with trauma.

This meeting report provides an overview of the highlights of the Bronchitis XI international symposium, held in June 2024 in Groningen, The Netherlands. The theme of this year's symposium was "heterogeneity of lung disease in a changing environment," and the symposium contained five different sessions focused on (i) heterogeneity of chronic lung disease, (ii) environmental changes with impact on lung disease, (iii) the aging lung, (iv) bronchitis, and (v) innovative therapy. The highlights from each of these sessions will be discussed separately, providing an overview of latest studies, new data, and enthralling discussions.

Introduction Cone Beam CT-guided Navigation Bronchoscopy (CBCT-NB) with Augmented Fluoroscopy (AF) guidance represents a minimally invasive endobronchial technique for diagnosing small, peripheral pulmonary lesions. This approach is characterized by its high diagnostic accuracy and low complication risk. Current pilot trials are exploring the application of localized therapies using this innovative approach. This reportaims to provide a detailed procedural guide for performing CBCT-NB with AF guidance as the only tool for navigation and image guided biopsy. Methods We outline the procedural steps involved in the CBCT-NB procedure for diagnosing peripheral pulmonary lesions, supported by specific intra-procedural clinical video footage. The steps include (1) preprocedural considerations, (2) a detailed procedural workflow encompassing navigation to the target lesion, (3) position confirmation and tissue acquisition, and (4) postprocedural follow-up. Conclusion CBCT-NB with AF guidance is a safe and precise stand-alone navigation modality that offers high-resolution real-time 3D imaging, enhancing the diagnosis and potential treatment of peripheral pulmonary nodules.

Introduction: Pulmonary exacerbations increase the requirement of aminoglycoside (AG) antibiotics in people with cystic fibrosis (pwCF). Several studies have shown that AGs have a cumulative effect on ototoxicity. We aimed to investigate the relationship between AG exposure and ototoxicity by using 3 different methods in patients with CF.

Materials/methods: The multicenter study included 121 pwCF aged between 5 and 18 years with a history of parenteral AG exposure. Standard pure-tone audiometry, extended high-frequency pure-tone audiometry (EHF-PTA), and distortion-product otoacoustic emissions (DPOAE) tests were performed. Mitochondrial mutation analysis for m1555G>A was performed in 61 patients.

Results: Median age was 12.85 years and 52.1% (n = 63) were male. 18.2% (n = 22) of the patients had received parenteral AGs more than 5 courses/lifetime. Ototoxicity was detected in at least one of the tests in 56.2% (n = 68) of the patients. Only 10.7% (n = 13) of the patients had reported a symptom indicating ototoxicity. 30.3% (n = 30) of the patients had ototoxicity in the low exposure group, while it was 45.5% (n = 10) in the high exposure group according to EHF-PTA (p > 0.05). Median number of parenteral amikacin courses was significantly higher in the ototoxic group (2 [1.25-5.75] vs. 2 [1-3]; p = 0.045). No m1555A>G mutation was detected in 61 patients who screened for mitochondrial mutation analysis.

Conclusion: As AG ototoxicity occurs primarily at high frequencies, EHF-PTA is important in early detecting ototoxicity. EHF-PTA and DPOAE detected ototoxicity in some patients with normal PTA results. All pwCF with a history of AG exposure should be evaluated for hearing loss since symptoms may only be noticed in the late period.

Introduction: Currently, there is a lack of bronchoscopic lung volume reduction options that do not depend on fissure integrity. Endobronchial coils have been extensively studied to address this need but exhibited variable patient response and have been discontinued. Lung tension device (LTD) coils represent the next-generation coil treatment. This study aimed to evaluate safety, feasibility, and efficacy of LTD-coil treatment.

Methods: Patients with advanced emphysema and hyperinflation were enrolled at two European sites. LTD-coils (Free Flow Medical, Fremont, CA, USA) were implanted in the two most destructed lobes, as determined by quantitative CT analysis, in two separate procedures. The primary endpoint was 3-month follow-up after the last treatment.

Results: Fourteen patients (50% male, median age 64 years, FEV1 23%predicted, RV 249%predicted) received LTD-coil treatment: 12 received bilateral and 2 unilateral treatment. Six serious respiratory adverse events occurred within the initial 3 months posttreatment, including one device-associated death. Treatment significantly reduced in- and expiratory volume of the treated lobes (-410 [-710, -340], p = 0.004 and -650 [-730, -190] mL, p < 0.001, respectively) and improved quality of life (SGRQ total score -4.6 [-21.0, -2.6], p < 0.001). However, at a group level, no significant improvements in pulmonary function or 6-min walk distance were observed. Responder rates ranged from 18% to 54% for the different endpoints.

Conclusion: This first-in-human study shows that the new LTD-coil procedure is feasible with a safety profile comparable to the previous coil treatment. While the treatment effectively reduced lobar volume and modestly improved quality of life up to 3 months' follow-up, at a group level it did not significantly enhance pulmonary function or exercise capacity.

Introduction: Endobronchial ultrasound transbronchial needle aspiration (EBUS-TBNA) for lung cancer staging is operator dependent, resulting in high rates of non-diagnostic lymph node (LN) samples. We hypothesized that an artificial intelligence (AI) algorithm can consistently and reliably predict nodal metastases from the ultrasound images of LNs when compared to pathology.

Methods: In this analysis of prospectively recorded B-mode images of mediastinal LNs during EBUS-TBNA, we used transfer learning to build an end-to-end ensemble of three deep neural networks (ResNet152V2, InceptionV3, and DenseNet201). Model hyperparameters were tuned, and the optimal version(s) of each model was trained using 80% of the images. A learned ensemble (multi-layer perceptron) of the optimal versions was applied to the remaining 20% of the images (Test Set). All predictions were compared to the final pathology from nodal biopsies and/or surgical specimen.

Results: A total of 2,569 LN images from 773 patients were used. The Training Set included 2,048 LNs, of which 70.02% were benign and 29.98% were malignant on pathology. The Testing Set included 521 LNs, of which 70.06% were benign and 29.94% were malignant on pathology. The final ensemble model had an overall accuracy of 80.63% (95% confidence interval [CI]: 76.93-83.97%), 43.23% sensitivity (95% CI: 35.30-51.41%), 96.91% specificity (95% CI: 94.54-98.45%), 85.90% positive predictive value (95% CI: 76.81-91.80%), 79.68% negative predictive value (95% CI: 77.34-81.83%), and AUC of 0.701 (95% CI: 0.646-0.755) for malignancy.

Conclusion: There now exists an AI algorithm which can identify nodal metastases based only on ultrasound images with good overall accuracy, specificity, and positive predictive value. Further optimization with larger sample sizes would be beneficial prior to clinical application.

Introduction: Patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD) admitted to intensive care unit (ICU) are exposed to poor clinical outcomes, and no specific prognostic models are available among this population. We aimed to develop and validate a risk score for prognosis prediction for these patients.

Methods: This was a multicenter observation study. AECOPD patients admitted to ICU were included for model derivation from a prospective, multicenter cohort study. Logistic regression analysis was applied to identify independent predictors for in-hospital death and establish the prognostic risk score. The risk score was further validated and compared with DECAF, BAP-65, CURB-65, and APACHE II score in another multicenter cohort.

Results: Five variables were identified as independent predictors for in-hospital death in APCOPD patients admitted to ICU, and a corresponding risk score (PD-ICU score) was established, which was composed of procalcitonin >0.5 μg/L, diastolic blood pressure <60 mm Hg, need for invasive mechanical ventilation, disturbance of consciousness, and blood urea nitrogen >7.2 mmol/L. Patients were classified into three risk categories according to the PD-ICU score. The in-hospital mortality of low-risk, intermediate-risk, and high-risk patients was 0.3%, 7.3%, and 27.9%, respectively. PD-ICU score displayed excellent discrimination ability with an area under the receiver-operating characteristic curve (AUC) of 0.815 in the derivation cohort and 0.754 in the validation cohort which outperformed other prognostic models.

Conclusion: We derived and validated a simple and clinician-friendly prediction model (PD-ICU score) for in-hospital mortality among AECOPD patients admitted to ICU. With good performance and clinical practicability, this model may facilitate early risk stratification and optimal decision-making among these patients.

Introduction: Asthma patients with a smoking history are usually excluded from asthma trials to exclude smoking-related comorbidities like chronic obstructive pulmonary disease (COPD). Therefore, little is known about the efficacy of biologic therapy in asthma patients with reduced diffusing capacity of the lungs for carbon monoxide (DLCO).

Methods: This study aimed to assess the response to biologic therapy in asthma patients with reduced DLCO. A total of 77 consecutive patients undergoing biologic therapy in a routine clinical setting were included in the analysis and divided into three groups: DLCO ≥60%, DLCO <60% and <10 pack-years, and DLCO <60% and ≥10 pack-years = asthma and COPD comorbidity. Follow-up evaluations were conducted after a minimum of 6 months of therapy.

Results: After 34.0 ± 10.2 weeks, comparable therapeutic responses were observed between the three groups. There were no differences between the groups in terms of reduction in the annual acute exacerbation rate (AE median -3 [25th percentile -5; 75th percentile -1] vs. -6.1 [-11.3;-2.2] vs. -3 [-6;-2], p = 0.067), oral corticosteroid (OCS) doses (-5 [-10;0] vs. -1 [-7.5;0] vs. -7.5 [-10;-4] mg, p = 0.136), improvement in Asthma Control Test (ACT) scores (4 [0;9.3] vs. 3 [-1;6] vs. 4 [3;10], p = 0.276) or forced expiratory volume in 1 s (FEV1) improvement (5.5 [-2;21.5] vs. 0.5 [-2.8;9.3] vs. 5 [0;16] % predicted, p = 0.328). Linear regression analysis revealed no significant correlation between DLCO levels and changes in OCS dosage or AE rate, nor between DLCO and improvements in ACT scores or FEV1. Notably, a smaller proportion of patients exhibited a reduced transfer coefficient (DLCO/VA) (n = 13, 16.9%). This parameter did not significantly impact therapy response either.

Conclusion: Our findings suggest that biologic therapy can effectively manage asthma irrespective of DLCO measurements. Thus, reduced DLCO values should not preclude thorough asthma diagnosis and treatment. Further investigation into the utility of DLCO/VA assessment in this context is warranted.

Introduction: Establishing a diagnosis is paramount in medical practice as it shapes patients' experiences and guides treatment. Patients grappling with rare diseases face a triple challenge: prolonged diagnostic journeys, limited responses to existing therapies, and the absence of effective monitoring tools. Genetic diagnosis often provides crucial diagnostic and prognostic information, opening up possibilities for genotype-targeted treatments and facilitating counselling and relative testing. The NIHR BioResource - Rare Diseases (NBR) Study and the Cohort Study in Idiopathic and Hereditary Pulmonary Arterial Hypertension (PAH Cohort study) aimed to enhance diagnosis and treatment for PAH, successfully identifying the genetic cause in 25% of idiopathic cases. However, the diagnostic and therapeutic odyssey in patients with PAH remains largely unexplored.

Methods: Stakeholders from the NBR and PAH Cohort studies were recruited using purposive sampling. In-depth interviews and focus groups were recorded, transcribed, anonymised, and analysed thematically using MAXQDA software.

Results: The study involved 53 interviews and focus groups with 63 participants, revealing key themes across five stages of the diagnostic odyssey: initial health concerns and interactions with general practitioners, experiences of misdiagnosis, relief upon receiving the correct diagnosis, and mixed emotions regarding genetic results and the challenges of living with the disease. Following the diagnosis, participants embarked on a therapeutic journey, facing various challenges, including the disease's impact on professional and social lives, the learning curve associated with understanding the disease, shifts in communication dynamics with healthcare providers, therapeutic hurdles, and insurance-related issues. Building on these insights, we identified areas of unmet needs, such as improved collaboration with primary care providers and local hospitals, the provision of psychological support and counselling, and the necessity for ongoing patient education in the ever-evolving realms of research and therapy.

Conclusions: The study highlights the significant challenges encountered throughout the diagnostic and therapeutic journey in PAH. To enhance patient outcomes, it is crucial to raise awareness of the disease, establish clear diagnostic pathways, and seamlessly integrate genetic diagnostics into clinical practice. Streamlining the diagnostic process can be achieved by utilising existing clinical infrastructure to support research and fostering better communication within the NHS. Moreover, there is an urgent need for more effective therapies alongside less burdensome drug delivery methods.