Open Respiratory Archives最新文献_第6页

Combinación de técnicas de simulación y navegación electromagnética endoscópica [模拟技术与内镜电磁导航的结合]。

Open Respiratory Archives Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100381

David Rincón García , Andrés Giménez Velando

引用次数: 0

Thoracic Ultrasound in Others Scenarios: An Expanding Tool

Open Respiratory Archives Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2025.100420

Beatriz Romero-Romero , Maribel Botana-Rial , Raquel Martínez , Teresa Elias-Hernandez , Ricardo M. Rodrigues-Gómez , M. Mar Valdivia

{"title":"Thoracic Ultrasound in Others Scenarios: An Expanding Tool","authors":"Beatriz Romero-Romero , Maribel Botana-Rial , Raquel Martínez , Teresa Elias-Hernandez , Ricardo M. Rodrigues-Gómez , M. Mar Valdivia","doi":"10.1016/j.opresp.2025.100420","DOIUrl":"10.1016/j.opresp.2025.100420","url":null,"abstract":"<div><div>Modern management of thoracic disease is dominated by ultrasound assessment with strong evidence supporting its use in many clinical settings, providing both diagnostic and procedural. Thoracic ultrasound is a pivotal step in the management of chronic lung disease and pulmonary vascular disease, in early assessment as in therapeutic monitoring. Development and validation of novel ultrasound biomarkers of activity and prognostic, especially those linked to advanced ultrasound techniques, are expected in the coming years. Assessing and treating respiratory muscle dysfunction is crucial for patients with both acute and chronic respiratory failure. To explore novel techniques, including imaging with ultrasound is important. Artificial intelligence (AI) excels at automatically recognizing complex patterns and providing quantitative assessment for imaging data, showing high potential to assist physicians in acquiring more accurate and reproducible results. Finally, a training system with structured proficiency and competency standards, about the use of TU is necessary. We offer our perspective on the challenges and opportunities for the clinical practice in other scenarios.</div></div>","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 ","pages":"Article 100420"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prognostic Value of Consolidation in Lung Tomography in Patients With Acute Respiratory Distress Syndrome 肺断层扫描对急性呼吸窘迫综合征患者合并症的预后价值

Open Respiratory Archives Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100366

Santa Cruz Roberto , Domeniconi Gustavo , Favot Carolina , Pagano Fernando , Choi Marcelo

引用次数: 0

Flecainide-associated Pneumonitis, a Case Report: COVID is Not All That it Seems 弗莱凯尼德相关性肺炎，病例报告：COVID 并非看上去那么简单

Open Respiratory Archives Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100372

Diego Ferrer-Pargada , David Iturbe , Sandra Tello , Sheila Izquierdo , Elena Peña , Cristina Castrillo Bustamante , Javier Gómez-Roman

引用次数: 0

Organizing Pneumonia Associated With Subclinical HSV Extrapulmonary Infection in an Immunocompetent Host: A Case Report 免疫功能正常宿主亚临床 HSV 肺外感染引发的组织性肺炎：病例报告

Open Respiratory Archives Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100367

Anna Michela Gaeta , Anna Annunziata , Giuseppe Fiorentino

引用次数: 0

Pulmonary Embolism: Is AI One of the Team? 肺栓塞：人工智能是团队中的一员吗？

Open Respiratory Archives Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100371

Sara Lojo-Lendoiro , Ignacio Díaz-Lorenzo , Jose Andrés Guirola Ortíz , Fernando Gómez Muñoz

引用次数: 0

Personalized Medicine in Severe Asthma: Bridging the Gaps 重症哮喘的个性化医疗：缩小差距

Open Respiratory Archives Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100368

Juan Luis García-Rivero , Ismael García-Moguel

引用次数: 0

COPD Exacerbation by SARS-CoV-2. A Cause of Future Poor Disease Control? SARS-CoV-2导致慢性阻塞性肺病恶化。未来疾病控制不力的原因？

Open Respiratory Archives Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100369

Juan Marco Figueira-Gonçalves , Rafael Golpe

引用次数: 0

Older Patients With Interstitial Lung Disease Feature a Distinct Clinical Profile 老年间质性肺病患者具有独特的临床特征。

Open Respiratory Archives Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2024.100374

Laura Feltrer-Martínez , Sandra Orozco , Ana Alonso , Paloma Millan-Billi , Silvia Barril , Gisela Ruibal , Joel Francesqui , David Lobo-Prat , Ana Gimenez , Laura Lopez , Laura Martinez-Martinez , Ivan Castellvi , Diego Castillo

{"title":"Older Patients With Interstitial Lung Disease Feature a Distinct Clinical Profile","authors":"Laura Feltrer-Martínez , Sandra Orozco , Ana Alonso , Paloma Millan-Billi , Silvia Barril , Gisela Ruibal , Joel Francesqui , David Lobo-Prat , Ana Gimenez , Laura Lopez , Laura Martinez-Martinez , Ivan Castellvi , Diego Castillo","doi":"10.1016/j.opresp.2024.100374","DOIUrl":"10.1016/j.opresp.2024.100374","url":null,"abstract":"<div><h3>Introduction</h3><div>There are few studies investigating the clinical profile of older patients with interstitial lung disease (ILD), so this study investigated the characteristics of the older population diagnosed with ILD.</div></div><div><h3>Material and methods</h3><div>Retrospective study in a population of new referrals at an ILD clinic from January 2013 to September 2017. Patients over 64 years were selected. Data collection included diseases variables, diagnostic procedures and comorbidities. Gender-age-physiology (GAP) stage, composite physiologic index (CPI) and Charlson index was calculated. Statistical analysis was performed to investigate risk factors associated with survival.</div></div><div><h3>Results</h3><div>A total of 232 patients were included in this study. Mean age was 76.3 years (SD 6.5). As per protocol, 69.3% completed the initial assessment but this was lower in the elderly group (61.5%). The most frequent diagnosis was unclassifiable ILD (24.1%), followed by ILD associated with connective tissue disease (21.6%), IPF (12.1%) and hypersensitivity pneumonitis (10.3%). During follow-up (36.7 months (SD 28.6)) a significant proportion of patients died (55 cases, 23.7% of the cohort), especially in the late older group (30.4%). Kaplan–Meier curves showed that those over 75 years have a worse survival even when adjusted by covariables (<em>p</em>  <!-->0.001). CPI was the only score with statistical significance in a multivariate analysis (HR 1.06. <em>p</em> 0.006).</div></div><div><h3>Conclusions</h3><div>Older adults with ILD featured a distinct clinical profile. Our findings highlight the need to develop non-invasive biomarkers and specific scores adapted to this age-group.</div></div>","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 4","pages":"Article 100374"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11653131/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142855737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Innovación en sueño

Open Respiratory Archives Pub Date : 2024-10-01 DOI: 10.1016/j.opresp.2025.100402

Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar

{"title":"Innovación en sueño","authors":"Laura Vigil, Toni Zapata, Andrea Grau, Marta Bonet, Montserrat Montaña, María Piñar","doi":"10.1016/j.opresp.2025.100402","DOIUrl":"10.1016/j.opresp.2025.100402","url":null,"abstract":"<div><div>Advances in sleep medicine have driven significant improvements in the diagnosis and treatment of sleep disorders such as obstructive sleep apnea (OSA). This disorder affects one billion people worldwide and traditionally, diagnosis is based on polysomnography (PSG), a laborious method that requires specialized personnel. However, the integration of artificial intelligence (AI) in sleep medicine has made it possible to automate the analysis of sleep phases and respiratory events with high accuracy.</div><div>Machine learning algorithms and neural networks have proven to be effective in automatic sleep coding, with hit rates comparable to those of human experts. These advances make it possible to improve the efficiency of sleep labs and to personalize OSA treatment. In addition, techniques such as cluster analysis are used to identify symptomatic patterns and phenotypes, which improves understanding of OSA pathophysiology and optimizes CPAP treatment.</div><div>However, implementation of AI in hospitals faces technological, ethical, and legal barriers. Challenges include data quality, patient privacy, and the need for specialized personnel. Despite these obstacles, AI and Big Data have the potential to transform medical care for sleep disorders, improving both diagnosis and treatment adherence, provided regulatory and cultural barriers are overcome.</div></div>","PeriodicalId":34317,"journal":{"name":"Open Respiratory Archives","volume":"6 ","pages":"Article 100402"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143377827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0