Advances in Respiratory Medicine

32 pages, 870 KB

Open AccessReview

Bronchial Artery Embolisation in Haemoptysis Management: A Scoping Review with Emphasis on Embolic Materials and Indications

by Anna Ziętarska, Adam Dobek, Anna Sawina, Piotr Białek, Sebastian Majewski and Ludomir Stefańczyk

Adv. Respir. Med. 2025, 93(5), 35; https://doi.org/10.3390/arm93050035 (registering DOI) - 12 Sep 2025

Abstract

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. Full article

22 pages, 3915 KB

Open AccessArticle

The Safety and Performance of a Novel Extracorporeal Membrane Oxygenation Device in a Long-Term Ovine Model

by Yongchao Li, Lei Cai, Jia Huang, Hongbin Gao, Zhongqiang Huang, Yalun Guan, Yunfeng Li, Shuhua Liu, Shi Liang, Summer Xiatian Li, Hongzhou Lu, Ge Li, Yijiang Li and Yu Zhang

Adv. Respir. Med. 2025, 93(5), 34; https://doi.org/10.3390/arm93050034 - 9 Sep 2025

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Abstract

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. Full article

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10 pages, 585 KB

Open AccessArticle

Test–Retest Reliability and Minimal Detectable Change of the 6-Minute Step Test and 1-Minute Sit-to-Stand Test in Post-COVID-19 Patients

by Patchareeya Amput, Weerasak Tapanya, Sirima Wongphon, Krittin Naravejsakul and Thanakorn Sritiyot

Adv. Respir. Med. 2025, 93(5), 33; https://doi.org/10.3390/arm93050033 - 8 Sep 2025

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Abstract

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. Full article

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16 pages, 1633 KB

Open AccessArticle

Machine Learning-Driven Lung Sound Analysis: Novel Methodology for Asthma Diagnosis

by Ihsan Topaloglu, Gulfem Ozduygu, Cagri Atasoy, Guntug Batıhan, Damla Serce, Gulsah Inanc, Mutlu Onur Güçsav, Arif Metehan Yıldız, Turker Tuncer, Sengul Dogan and Prabal Datta Barua

Adv. Respir. Med. 2025, 93(5), 32; https://doi.org/10.3390/arm93050032 - 4 Sep 2025

Viewed by 405

Abstract

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. Full article

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Adv. Respir. Med., Volume 93, Issue 5 (October 2025) – 4 articles

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