BACKGROUND: Although pressure support ventilation is one of the most commonly used assisted ventilation modes in intensive care units, there is still a lack of precise strategies for setting pressure support. By performing an end-inspiratory airway occlusion, the difference between the peak and plateau airway pressure, which is defined as pressure muscle index (PMI), can be easily measured on the ventilator screen. Previous studies have shown that PMI is accurate in detecting high and low inspiratory effort. No study has been conducted to investigate the use of PMI as an indicator for setting inspiratory pressure support.
METHODS: This is a study protocol for a prospective, single-centre, randomised controlled, pilot trial. Sixty participants undergoing pressure support ventilation will be randomly assigned in a 1:1 ratio to the control group or intervention group, with pressure support adjusted according to standard care or guided by the PMI strategy for 48 hours, respectively. The feasibility of the PMI-guided strategy will be evaluated. The primary endpoint is the proportion of inspiratory effort measurements within a well-accepted \'normal\' range, which is predefined as oesophageal pressure-time product per minute between 50 and 200 cmH2O⋅s/min, for each patient during 48 hours of pressure support adjustment.
BACKGROUND: The study protocol has been approved by Beijing Tiantan Hospital (KY2023-005-02). The data generated in the present study will be available from the corresponding author on reasonable request. The results of the trial will be submitted to international peer-reviewed journals.
BACKGROUND: NCT05963737; ClinicalTrials.org.

BACKGROUND: The interpretation of ventilator waveforms is essential for effective and safe mechanical ventilation but requires specialized training and expertise. This study aimed to investigate the ability of ICU professionals to interpret ventilator waveforms, identify areas requiring further education and training, and explore the factors influencing their interpretation skills.
METHODS: We conducted an international online anonymous survey of ICU professionals (physicians, nurses, and respiratory therapists [RTs]), with ≥ 1 y of experience working in the ICU. The survey consisted of demographic information and 15 multiple-choice questions related to ventilator waveforms. Results were compared between professions using descriptive statistics, and logistic regression (expressed as odds ratios [ORs; 95% CI]) was performed to identify factors associated with high performance, which was defined by a threshold of 60% correct answers.
RESULTS: A total of 1,832 professionals from 31 countries or regions completed the survey; 53% of respondents answered ≥ 60% of the questions correctly. The 3 questions with the most correct responses were related to waveforms that demonstrated condensation (90%), pressure overshoot (79%), and bronchospasm (75%). Conversely, the 3 questions with the fewest correct responses were waveforms that demonstrated early cycle leading to double trigger (43%), severe under assistance (flow starvation) (37%), and early/reverse trigger (31%). Factors significantly associated with ≥ 60% correct answers included years of ICU working experience (≥ 10 y, OR 1.6 [1.2-2.0], P < .001), profession (RT, OR 2.8 [2.1-3.7], P < .001), highest degree earned (graduate, OR 1.7 [1.3-2.2], P < .001), workplace (teaching hospital, OR 1.4 [1.1-1.7], P = .008), and prior ventilator waveforms training (OR 1.7 [1.3-2.2], P < .001).
CONCLUSIONS: Slightly over half respondents correctly identified ≥ 60% of waveforms demonstrating patient-ventilator discordance. High performance was associated with ≥ 10 years of ICU working experience, RT profession, graduate degree, working in a teaching hospital, and prior ventilator waveforms training. Some discordances were poorly recognized across all groups of surveyed professionals.

Pulmonary fibrosis (PF) threatens millions of people worldwide with its irreversible progression. Although the underlying pathogenesis of PF is not fully understood, there is evidence to suggest that the disease can be blocked at various stages. Inhalation therapy has been applied for lung diseases such as asthma and chronic obstructive pulmonary disease, and its application for treating PF is currently under consideration. New techniques in inhalation therapy, such as the application of microparticles and nanoparticles, traditional Chinese medicine monomers, gene therapy, inhibitors, or agonists of signaling pathways, extracellular vesicle interventions, and other specific drugs, are effective in treating PF. However, the safety and effectiveness of these therapeutic techniques are influenced by the properties of inhaled particles, biological and pathological barriers, and the type of inhalation device used. This review provides a comprehensive overview of the pharmacological, pharmaceutical, technical, preclinical, and clinical experimental aspects of novel inhalation therapy for treating PF and focus on therapeutic methods that significantly improve existing technologies or expand the range of drugs that can be administered via inhalation. Although inhalation therapy for PF has some limitations, the advantages are significant, and further research and innovation about new inhalation techniques and drugs are encouraged.

BACKGROUND: Incentive spirometry (IS) as a routine respiratory therapy during the perioperative period has been widely used in clinical practice. However, the impact of IS on patients with perioperative lung cancer remains controversial. This review aimed to evaluate the efficacy of IS in perioperative pulmonary rehabilitation for patients with lung cancer.
METHODS: Cochrane Library, PubMed, Web of Science, Ovid, CINAHL, Chinese National Knowledge Infrastructure, Weipu, and Wanfang Databases were searched from inception to 30 November 2023. Only randomized controlled trials were included in this systematic review. The PRISMA checklist served as the guidance for conducting this review. The quality assessment of the included studies was assessed by the Cochrane risk-of-bias tool. The meta-analysis was carried out utilizing Review Manager 5.4. Furthermore, sensitivity analysis and subgroup analysis were also performed.
RESULTS: Nine studies recruited 1209 patients met our inclusion criteria. IS combined with other respiratory therapy techniques was observed to reduce the incidence of postoperative pulmonary complications, enhance pulmonary function, curtail the length of hospital stay, and lower the Borg score. Nevertheless, no improvements were found in the six-minute walk distance or quality of life score.
CONCLUSIONS: Although IS demonstrates benefits as a component of comprehensive intervention measures for perioperative patients with lung cancer, it proves challenging to determine the precise impact of IS as a standalone component within the comprehensive intervention measures. Therefore, further researches are required to better understand the effectiveness of IS isolation and its interactions when integrated with additional respiratory therapies for these patients.
BACKGROUND: PROSPERO, https://www.crd.york.ac.uk/prospero/ , registry number: CRD42022321044.

Despite extensive research on corticosteroids for treating asthma, their short residence time in the lungs has limited their therapeutic effects in vivo. Nanoparticles have been widely investigated for inhaled drug delivery due to their potential benefits in prolonging drugs\' residence time in the lungs. However, the retention of nanoparticles may be limited by mucus and ciliated epithelium clearance mechanisms in the airway. Herein, we anchored a neonatal-Fc-receptor-targeted peptide (FcBP) onto \"mucus-penetrating\" polyethylene glycol (PEG) nanoparticles (PEG-NP). Interestingly, the mucus-permeability of PEG-NP was not impaired by FcBP-functionalization. Moreover, FcBP modification enhanced cellular internalization and exocytosis via specific receptor-mediated processes, which subsequently ameliorated transepithelial transport and prolonged pulmonary retention. Importantly, after loading dexamethasone, FcBP-functionalization could effectively help nanoparticles cross the airway epithelial layer and be endocytosed by inflammatory cells, resulting in a marked decrease in inflammatory cytokines. Finally, FcBP modification significantly enhanced the therapeutic effect of dexamethasone-loaded nanoparticles in asthma mice. This study demonstrates that FcBP-functionalized PEG-NP can overcome multiple obstacles in the airway to prolong the pulmonary retention of drugs, providing a promising strategy for inhalation therapy.

The Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2023 report revised the combined assessment, merged the C and D groups into the E group, and revised the initial inhalation therapy recommendation.
This study aimed to analyze the future exacerbation and mortality of different inhalation therapies among patients with chronic obstructive pulmonary disease (COPD) in various groups based on the GOLD 2017 and GOLD 2023 reports.
This is a multicenter and retrospective study.
Stable COPD patients from the database setup by 12 hospitals were enrolled. The patients were divided into Groups A, B, C, D, and E according to the GOLD 2017 and GOLD 2023 reports. Then, the patients were classified into long-acting muscarinic antagonist (LAMA), long-acting β2-agonist (LABA) + inhaled corticosteroid (ICS), LABA + LAMA, and LABA + LAMA + ICS subgroups. Data on exacerbation and death during 1 year of follow-up were collected.
A total of 4623 patients were classified into Group A (15.0%), Group B (37.8%), Group C (7.3%), Group D (39.9%), and Group E (47.2%). The exacerbation, frequent exacerbation, and mortality showed no differences between different inhalation therapies in Groups A and C. Patients treated with LABA + LAMA or LABA + LAMA + ICS had a lower incidence of exacerbation and frequent exacerbation than patients treated with LAMA or LABA + ICS in Groups B, D, and E. The exacerbation, frequent exacerbation, and mortality showed no differences between different inhalation therapies after combining Groups A with C.
Patients in Group A should be recommended to undergo mono-LAMA, while patients in Groups B and E should be recommended treatment with LABA + LAMA, which is consistent with the GOLD 2023 report. However, it is worth considering merging Groups A and C into a single group and recommending mono-LAMA as the initial inhalation therapy.

In recent years, the incidence of respiratory diseases has increased year on year. This has become a major global public health issue. To effectively treat respiratory diseases and improve the quality of life and prognosis of patients, the intelligent platform of respiratory therapy was established. Through real-time monitoring patients\' important physiological indicators and integrating medical information, visual management, and intelligent decision making can be realized to provide personalized respiratory treatment and rehabilitation programs for critically ill patients. The platform can also provide reliable data support for medical research and further promote the development of the field of respiratory disease treatment. In the future, the platform will continue to improve the level and efficiency of clinical treatment, and truly solve practical problems for patients.
近年来，呼吸系统疾病发病率逐年上升，成为全球公共卫生领域的重要问题。为有效治疗呼吸系统疾病，提高患者生命质量和预后，呼吸治疗智慧化平台应运而生。通过实时监测患者重要生理指标、整合医疗信息，实现可视化管理和智能辅助决策，为危重症患者提供个性化呼吸治疗康复方案。该平台还可为医学研究提供可靠的数据支持，进一步推动呼吸系统疾病治疗领域的发展。未来，该平台还将不断提升临床救治水平和效率，真正为患者解决实际问题。.

The construction of an intelligent remote management platform for respiratory therapy, utilizing artificial intelligence (AI) and the electronic medical record system (EMR), has significant potential to improve the management of respiratory therapy in critically ill patients. This platform includes the development of a dedicated respiratory therapy EMR, the integration of data from multiple mechanical ventilators from different vendors and models, and the utilization of AI-assisted analysis to understand the pathophysiology of respiratory diseases and the complex physiological factors that influence specific interventions, thereby supporting diagnosis, treatment guidance, and prognosis prediction. In addtion, a network will be established to provide seamless connectivity between hospitals and wards. The resulting platform enables the collection of medical device data from multiple points within the hospital, real-time data analysis, and timely alarms, thereby facilitating remote data access, centralization of information, and standardization of data. As a result, the platform enables efficient intra-hospital and inter-hospital doctor-patient management. Despite the benefits offered by this platform, certain challenges need to be addressed, including ensuring data privacy and security, as well as managing the financial and human resources required for its implementation and maintenance. Furthermore, continuous optimization of the platform is crucial, and the clinical use of the platform requires appropriate professional training.
建设基于呼吸治疗电子病历系统，结合人工智能技术的医院呼吸治疗远程管理智慧化平台，有利于提高危重患者呼吸治疗管理水平。医院呼吸治疗远程管理智慧化平台的构建包括建立结构化呼吸治疗电子病历；获取不同品牌、型号呼吸机数据，并与电子病历系统对接；人工智能对呼吸系统疾病病理生理学以及特定干预措施背后的生理学、病理进行分析，辅助诊断、指导治疗并预测预后；构建跨院区、病区远程网络。平台的建立能够实现全院多点呼吸治疗设备数据采集、实时呼吸分析和报警，从而实现数据远程访问、信息集中化、数据标准化，以实现院内、院间医患的呼吸治疗远程管理。利用智慧化平台管理尽管有许多优点，但具体落实仍存在挑战，包括数据隐私和安全方面的潜在问题、实施和维护的财务和人力成本问题，且系统平台需要不断优化，临床使用需要专业培训。.

The possible benefits of inspiratory muscle training (IMT) on mechanical and clinical outcomes in patients with Coronavirus disease-2019 (COVID-19) remain controversial. We conducted a meta-analysis to evaluate the effect of IMT in the rehabilitation strategy of patients with COVID-19. The Pubmed, Embase, Web of Science (WOS), and Cochrane Central Register of Controlled Trials (CENTRAL) were searched to identify trials evaluating the efficacy of IMT in the treatment of patients with COVID-19. The primary outcome included change from baseline of VO2 max, maximal inspiratory pressure (PImax), 6-min walk test(6MWT), forced expiratory volume in the first second predicted (FEV1%pred), and quality of life (QOL). Six studies with 349 participants were analyzed. Significant improvements were found in change from baseline of VO2 max (MD: 4.54, 95% confidence interval [CI]: 1.79-7.30, Z = 3. 32, I2  = 0, p = 0.001), PImax (MD: 21.43, 95% CI: 1.33-41.52, Z = 2.09, I2  = 90%, p = 0.04), 6MWD (MD: 40.13, 95% CI: 24.92-55.35, Z = 5.17, I2  = 0, p < 0.00001) and FEV1%pred (MD: 8.73, 95% CI 3.07-14.39, Z = 3.02, p = 0.002) while no statistical improvements were found in QOL (SMD: 0.70, 95% CI: 0.37-1.03, Z = 4.15, I2  = 89% p = 0.32) between IMT group and control group. The application of IMT might elicit mechanical and clinical improvement in patients with COVID-19. IMT could be recommended as an effective strategy of pulmonary rehabilitation for COVID-19. However, the proper timing, optimal duration, as well as appropriate frequency and intensity of IMT remain uncertain and further studies are needed.

The neuroprotective effects of hydrogen have been demonstrated, but the mechanism is still poorly understood. In a clinical trial of inhaled hydrogen in patients with subarachnoid hemorrhage (SAH), we found that hydrogen reduced the accumulation of lactic acid in the nervous system. There are no studies demonstrating the regulatory effect of hydrogen on lactate and in this study we hope to further clarify the mechanism by which hydrogen regulates lactate metabolism. In cell experiments, PCR and Western Blot showed that HIF-1α was the target related to lactic acid metabolism that changed the most before and after hydrogen intervention. HIF-1α levels were suppressed by hydrogen intervention treatment. Activation of HIF-1α inhibited the lactic acid-lowering effect of hydrogen. We have also demonstrated the lactic acid-lowering effect of hydrogen in animal studies. Our work clarifies that hydrogen can regulate lactate metabolism via the HIF-1αpathway, providing new insights into the neuroprotective mechanisms of hydrogen.