Pulmonary Disease Research Articles

Microplastic and nanoplastic exposure and risk of diabetes mellitus

The issue of plastic pollutants has become a growing concern. Both microplastics (MPs) (particle size < 5 mm) and nanoplastics (NPs) (particle size < 1 µm) can cause DNA damage, cytotoxicity, and oxidative stress in various organisms. The primary known impacts of microplastic/nanoplastic are observed in the liver and respiratory system, leading to hepatotoxicity and chronic obstructive pulmonary disease. Although research on the effects of MPs and NPs on diabetes is still in its early stages, there are potential concerns. This editorial highlights the risk to diabetics from co-exposure to contaminants and MPs/NPs, supported by evidence from animal studies and the various chemical compositions of MPs/NPs.

Prediction and stratification for the surgical adverse events after minimally invasive esophagectomy: A two-center retrospective study

BACKGROUND Minimally invasive esophagectomy (MIE) is a widely accepted treatment for esophageal cancer, yet it is associated with a significant risk of surgical adverse events (SAEs), which can compromise patient recovery and long-term survival. Accurate preoperative identification of high-risk patients is critical for improving outcomes. AIM To establish and validate a risk prediction and stratification model for the risk of SAEs in patients with MIE. METHODS This retrospective study included 747 patients who underwent MIE at two centers from January 2019 to February 2024. Patients were separated into a train set (n = 549) and a validation set (n = 198). After screening by least absolute shrinkage and selection operator regression, multivariate logistic regression analyzed clinical and intraoperative variables to identify independent risk factors for SAEs. A risk stratification model was constructed and validated to predict the probability of SAEs. RESULTS SAEs occurred in 10.2% of patients in train set and 13.6% in the validation set. Patients with SAE had significantly higher complication rate and a longer hospital stay after surgery. The key independent risk factors identified included chronic obstructive pulmonary disease, a history of alcohol consumption, low forced expiratory volume in the first second, and low albumin levels. The stratification model has excellent prediction accuracy, with an area under the curve of 0.889 for the training set and an area under the curve of 0.793 for the validation set. CONCLUSION The developed risk stratification model effectively predicts the risk of SAEs in patients undergoing MIE, facilitating targeted preoperative interventions and improving perioperative management.

CXCL12 is a potential therapeutic target for type 2 diabetes mellitus complicated by chronic obstructive pulmonary disease.

To identify the key genes and immunological pathways shared by type 2 diabetes mellitus (T2DM) and chronic obstructive pulmonary disease (COPD) and explore the potential therapeutic targets of T2DM complicated by COPD. GEO database was used for analyzing the gene expression profiles in T2DM and COPD to identify the common differentially expressed genes (DEGs) in the two diseases. A protein-protein interaction network was constructed to identify the candidate hub genes, which were validated in datasets and disease sets to obtain the target genes. The diagnostic accuracy of these target genes was assessed with ROC analysis, and their expression levels and association with pulmonary functions were investigated using clinical data and blood samples of patients with T2DM and COPD. The abundance of 22 immune cells was analyzed with CIBERSORT algorithm, and their relationship with the target genes was examined using correlation analysis. DGIdb database was used for analyzing the drug-gene interactions and the druggable genes followed by gene set enrichment analysis. We identified a total of 175 common DEGs in T2DM and COPD, mainly enriched in immune- and inflammation-related pathways. Among these genes, CXCL12 was identified as the final target gene, whose expression was elevated in both T2DM and COPD (P<0.05) and showed good diagnostic efficacy. Immune cell infiltration correlation analysis showed significant correlations of CXCL12 with various immune cells (P<0.01). GESA analysis showed that high CXCL12 expression was significantly correlated with "cytokine-cytokine receptor interaction". Drug-gene analysis showed that most of CXCL12-related drugs were not targeted drugs with significant cytotoxicity. CXCL12 is a potential common key pathogenic gene of COPD and T2DM, and small-molecule targeted drugs against CXCL12 can provide a new strategy for treatment T2DM complicated by COPD.

Novel Therapies for Right Ventricular Failure.

Traditionally viewed as a passive player in circulation, the right ventricle (RV) has become a pivotal force in hemodynamics. RV failure (RVF) is a recognized complication of primary cardiac and pulmonary vascular disorders and is associated with a poor prognosis. Unlike treatments for left ventricular failure (LVF), strategies such as adrenoceptor signaling inhibition and renin-angiotensin system modulation have shown limited success in RVF. This review aims to reassure about the progress in RVF treatment by exploring the potential of contemporary therapies for heart failure, including angiotensin receptor andneprilysin inhibitors, sodium-glucose co-transporter 2 inhibitors, and soluble guanylate cyclase stimulators, which may be beneficial for treating RV failure, particularly when associated with left heart failure. Additionally, it examines novel therapies currently in the pipeline. Over the past decade, a new wave of RVF therapies has emerged, both pharmacological and device-centered. Novel pharmacological interventions targeting metabolism, calcium homeostasis, oxidative stress, extracellular matrix remodeling, endothelial function, and inflammation have shown significant promise in preclinical studies. There is also a burgeoning interest in the potential of epigenetic modifications as therapeutic targets for RVF. Undoubtedly, a deeper understanding of the mechanisms underlying RV failure, both with and without pulmonary hypertension, is urgently needed. This knowledge is not just a theoretical pursuit, but a crucial step that could lead to the development of pharmacological and cell-based therapeutic options that directly target the RV and pulmonary vasculature, aligning with the principles of precision medicine.

A machine learning framework for short-term prediction of chronic obstructive pulmonary disease exacerbations using personal air quality monitors and lifestyle data

Chronic Obstructive Pulmonary Disease (COPD) is a heterogeneous disease with a variety of symptoms including, persistent coughing and mucus production, shortness of breath, wheezing, and chest tightness. As the disease advances, exacerbations, i.e. acute worsening of respiratory symptoms, may increase in frequency, leading to potentially life-threatening complications. Exposure to air pollutants may trigger COPD exacerbations. Literature predictive models for COPD exacerbations, while promising, may be constrained by their reliance on fixed air quality sensor data that may not fully capture individuals’ dynamic exposure to air pollution. To address this, we designed a machine learning (ML) framework that leverages data from personal air quality monitors, health records, lifestyle, and living condition information to build models that perform short-term prediction of COPD exacerbations. The framework employs (i) k-means clustering to uncover potentially distinct patient sub-types, (ii) supervised ML techniques (Logistic Regression, Random Forest, and eXtreme Gradient Boosting) to train and test predictive models for each patient sub-type and (iii) an explainable artificial intelligence technique (SHAP) to interpret the final models. The framework was tested on data collected in 101 COPD patients monitored for up to 6 months with occurrence of exacerbation in 10.7% of total samples. Two different patient sub-types have been identified, characterised by different disease severity. The best performing models were Random Forest in cluster 1, with area under the receiver operating characteristic curve (AUC) of 0.90, and area under the precision/recall curve (AUPRC) of 0.7; and Random Forest model in cluster 2, with AUC of 0.82 and AUPRC of 0.56. The model interpretability analysis identified previous symptoms and cumulative pollutant exposure as key predictors of exacerbations. The results of our study set a premise for a predictive framework in COPD exacerbations, particularly investigating the potential influence of environmental features. The SHAP analysis revealed that the contribution of environmental features is not uniform across all subjects. For instance, cumulative exposure to pollutants demonstrated greater predictive power in cluster 1. The SHAP analysis also shown that overall clinical factors and individual symptomatology play the most significant role in this setup to determine exacerbation risk.

Aspergillus fumigatus is responsible for inflammation in a murine model of chronic obstructive pulmonary disease exacerbation

BackgroundIn patients with chronic obstructive pulmonary disease (COPD), a sensitization to A. fumigatus has been related to a decline in lung function, but the role of fungal agents in the disease pathogenesis remains unclear. The main purpose of the present study was to investigate whether cell inflammation could worsen after exposure to A. fumigatus spores in vitro and then, in mice, following chronic exposure to cigarette smoke mimicking COPD.MethodsThe inflammatory response to cigarette smoke alone or with A. fumigatus was investigated in cell culture models of murine macrophages and alveolar epithelial cells. In an animal model, mice were exposed daily to two cigarettes smoke over 14 weeks, and two intranasal instillations of 105 spores at weeks 7 and 14. Then, their lungs were recovered to perform inflammatory and histopathological analyses.ResultsIn co-cultures of macrophages and epithelial cells treated with both cigarette smoke extracts (CSE) and A. fumigatus compared to CSE alone there were significant inductions in TNF-α (6.2-fold) and CXCL-2 (21.5-fold) gene expression, confirmed by significant increases in the corresponding protein secretion. In the murine model, histological analyses of the lung after chronic smoke exposure showed an increase in airspace enlargement. Moreover, a Bio-Plex approach on bronchoalveolar lavage of cigarette smoke and A. fumigatus-treated mice showed significant increases in multiple inflammatory proteins secreted in the lung.ConclusionsThere was a stronger inflammatory response after cigarette smoke exposure with A. fumigatus compared to cigarette smoke alone. These findings were correlated with histopathological changes in the mouse lung in vivo.

Development of an algorithm impacting COPD care through personalized nutrition and IoT-based monitoring

BackgroundChronic obstructive pulmonary disease (COPD) is a chronic respiratory condition characterized by high morbidity and mortality rates. This study aims to assess the clinical outcomes of COPD patients after implementing an algorithm within the MyTatva app.MethodsThe study involved a sample of 10 COPD patients, evaluating key parameters such as Forced Expiratory Volume in 1 s (FEV1), Forced Vital Capacity, Weight, Body Mass Index (BMI), Fat-Free Mass Index, and Distance Covered during the 6-Minute Walk Test (6MWT) before and after the algorithm’s implementation in the MyTatva app. Patient satisfaction was assessed through a CSAT survey.ResultsFollowing the implementation of the MyTatva care plan, significant improvements were observed in several key clinical outcomes for COPD patients. FEV1 increased from a median of 3.24–2.0 L (p = 0.0379), while weight and BMI decreased significantly, with a reduction in weight from a median of 86–70 kg (p = 0.0007) and a corresponding decrease in BMI from 28.43 to 24 kg/m2 (p = 0.0031). The distance covered during the 6MWT also improved from 420 to 568 m (p = 0.0019). The participation of 10 COPD patients in surveys yielded an overall CSAT score of 85%, indicating a high level of satisfaction with the MyTatva app.ConclusionThe comprehensive features and functionalities of the MyTatva app, combined with the personalized care plan and real-time feedback mechanisms, have led to substantial clinical improvements in COPD management. These findings highlight the promise of this innovative digital therapeutic approach in addressing chronic respiratory conditions.

Successful Treatment of Refractory Mycobacterium avium Complex Pulmonary Disease With Sitafloxacin After Failed Amikacin Liposome Inhalation Suspension Therapy

Successful Treatment of Refractory Mycobacterium avium Complex Pulmonary Disease With Sitafloxacin After Failed Amikacin Liposome Inhalation Suspension Therapy

Shorter telomere length in COPD cases secondary to biomass-burning smoke exposure

BackgroundChronic obstructive pulmonary disease (COPD) is characterized by progressive airflow obstruction and destruction of lung tissue, primarily attributed to tobacco smoking. However, other factors like biomass-burning smoke (BS) exposure are also implicated. COPD has been described as an accelerated aging disease, and telomere length is a biomarker of aging.MethodsThis study examined telomere length in 189 Mexican individuals, from which 93 developed COPD secondary to BS exposure (BE-COPD); the rest of the participants were exposed to BS but did not develop the disease. Lung function parameters were measured by spirometry, and relative telomere length (rTL) from peripheral blood DNA was determined using multiplex qPCR.ResultsResults showed rTL to inversely correlate with age (R2=-0.207, p = 0.006) and with the hours-a-day of BS exposure (R2=-0.297, p < 0.001). Within BE-COPD cases, rTL was associated with daily BS exposure, and BE-COPD individuals exhibited a reduced rTL compared to controls (1.39 ± 0.45 vs. 0.89 ± 0.50; p < 0.001). When compared by rTL length in BE-COPD cases, longer telomeres were associated with decreased COPD risk (β = 0.134, 95% CI = 0.053–0.339; p < 0.001). However, no significant relationship was found between rTL and clinical or lung function parameters in the BE-COPD group.ConclusionsThis is the first study to document that individuals with COPD secondary to biomass smoke exposure present shorter telomeres than BS-exposed subjects who did not develop the disease.

Medwakh smoking induces alterations in salivary proteins and cytokine expression: a clinical exploratory proteomics investigation

BackgroundMedwakh smoking has radically expanded among youth in the Middle East and around the world. The rising popularity of medwakh/dokha usage is linked to the onset of several chronic illnesses including cardiovascular diseases and cancers. Medwakh smoking is reported to increase the risk of inflammation in the lower respiratory tract owing to oxidative burden. To date, there are no reported studies investigating the impact of medwakh smoking on salivary protein profile. The current study aims to elucidate alterations in the salivary proteome profile of medwakh smokers.MethodsSaliva samples collected from 33 medwakh smokers and 30 non-smokers were subjected to proteomic analysis using UHPLC-ESI-QTOF-MS. Saliva samples were further subjected to validatory experiments involving analysis of inflammatory cytokine profile using LEGENDplex™ Human Essential Immune Response Panel.ResultsStatistical analysis revealed alterations in the abundance of 74 key proteins including immune mediators and inflammatory markers in medwakh smokers (Accession: PXD045901). Proteins involved in building oxidative stress, alterations in cell anchorage, and cell metabolic processes were enhanced in medwakh smokers. Salivary immune response evaluation further validated the proteome findings, revealing significantly higher levels of IL-1β, IL-12p70, IL-23, IFN-γ (Th1 cytokines), IL-6 (Th2 cytokine), and MCP-1 (chemokine) in medwakh smokers. In addition, a substantial increase in abundance of involucrin suggesting a plausible stratified squamous cell differentiation and increased cell lysis in the oral cavity of medwakh smokers akin to chronic obstructive pulmonary diseases (COPD). The protein–metabolite joint pathway analysis further showed significantly enriched differentially expressed proteins and metabolites of glycolysis/gluconeogenesis, pentose phosphate, fructose and mannose, nicotinate and nicotinamide, and glutathione metabolism pathways among medwakh smokers.ConclusionsThe findings of the study provide valuable insights on potential perturbations in various key immune molecules, cytokines, and signaling pathways among medwakh smokers. Medwakh smokers displayed elevated inflammation, increased oxidative stress and defective antioxidant responses, dysregulated energy metabolism, and alterations in proteins related to cell adhesion, migration, differentiation, and proliferation. The findings of study underscore the urgent need for comprehensive public health interventions among youth by raising awareness, implementing effective smoking cessation programs, and promoting healthy lifestyle to safeguard the well-being of individuals and communities worldwide.

Thirteen serum biochemical indexes and five whole blood coagulation indices in a point-of-care testing analyzer: ideal protocol for evaluating pulmonary and critical care medicine.

The accurate and timely detection of biochemical coagulation indicators is pivotal in pulmonary and critical care medicine. Despite their reliability, traditional laboratories often lag in terms of rapid diagnosis. Point-of-care testing (POCT) has emerged as a promising alternative, which is awaiting rigorous validation. We assessed 226 samples from patients at the First Affiliated Hospital of Guangzhou Medical University using a Beckman Coulter AU5821 and a PUSHKANG POCT Biochemistry Analyzer MS100. Furthermore, 350 samples were evaluated with a Stago coagulation analyzer STAR MAX and a PUSHKANG POCT Coagulation Analyzer MC100. Metrics included thirteen biochemical indexes, such as albumin, and five coagulation indices, such as prothrombin time. Comparisons were drawn against the PUSHKANG POCT analyzer. Bland-Altman plots (MS100: 0.8206‒0.9995; MC100: 0.8318‒0.9911) evinced significant consistency between methodologies. Spearman correlation pinpointed a potent linear association between conventional devices and the PUSHKANG POCT analyzer, further underscored by a robust correlation coefficient (MS100: 0.713‒0.949; MC100: 0.593‒0.950). The PUSHKANG POCT was validated as a dependable tool for serum and whole blood biochemical and coagulation diagnostics. This emphasizes its prospective clinical efficacy, offering clinicians a swift diagnostic tool and heralding a new era of enhanced patient care outcomes.

Ultra-Fast Moisture Sensor for Respiratory Cycle Monitoring and Non-Contact Sensing Applications.

As human-machine interface hardware advances, better sensors are required to detect signals from different stimuli. Among numerous technologies, humidity sensors are critical for applications across different sectors, including environmental monitoring, food production, agriculture, and healthcare. Current humidity sensors rely on materials that absorb moisture, which can take some time to equilibrate with the surrounding environment, thus slowing their temporal response and limiting their applications. Here, this challenge is tackled by combining a nanogap electrode (NGE) architecture with chicked egg-derived albumen as the moisture-absorbing component. The sensors offer inexpensive manufacturing, high responsivity, ultra-fast response, and selectivity to humidity within a relative humidity range of 10-70% RH. Specifically, the egg albumen-based sensor showed negligible response to relevant interfering species and remained specific to water moisture with a room-temperature responsivity of 1.15×104. The nm-short interelectrode distance (circa 20nm) of the NGE architecture enables fast temporal response, with rise/fall times of 10/28ms, respectively, making the devices the fastest humidity sensors reported to date based on a biomaterial. By leveraging these features, non-contact moisture sensing and real-time respiratory cycle monitoring suitable for diagnosing chronic diseases such as sleep apnea, asthma, and pulmonary disease are demonstrated.

Obstructive sleep apnea in bariatric surgery patients: a population-based study.

A high proportion of obstructive sleep apnea (OSA) remains undiagnosed. The main objectives of this study were to measure the prevalence of diagnosed OSA and determine OSA predictors in patients who underwent bariatric surgery, who are predominantly female and pre-menopausal and represent an understudied population in OSA literature. This was a cross-sectional population-based study using the Ontario Bariatric Registry (OBR) from 2010 to 2016, linked to ICES databases which include health administrative data on all encounters within a single public-payer system. Multiple logistic regression was used to measure OSA predictors. Out of a total of 18,074 patients who underwent bariatric surgery, OSA was diagnosed in 47% (95% confidence interval [CI]: 46 to 47), and OSA was the second most common comorbidity within this population. Only 63% of OSA diagnoses were recorded in the OBR at the time of initial bariatric consultation. Based on interaction, it was found that, in females, OSA predictors included social inequality, diabetes and chronic obstructive pulmonary disease, in addition to the predictors measured in males (age, body mass index and comorbidity burden). A significant proportion of patients presenting for initial bariatric surgery consultation have undiagnosed OSA. OSA screening and testing may lead to underdiagnosis of OSA, especially in pre-menopausal females who represent the majority of the population undergoing bariatric surgery.

Beyond the Obstruction: A Case of Lung Cancer with Coincidental COPD Diagnosis

Background: Lung cancer frequently coexists with chronic obstructive pulmonary disease (COPD), particularly among smokers. The presence of both conditions can complicate diagnosis and lead to poorer outcomes. This case report presents a patient with lung cancer and concurrent COPD, highlighting the diagnostic and management challenges. Case presentation: A 60-year-old male presented with a history of smoking, progressive dyspnea, and a recent diagnosis of right lung cancer (T4N3M1c, stage IV B). He also exhibited symptoms suggestive of COPD, such as chronic cough and expectoration. Spirometry confirmed moderate restriction and severe obstruction, consistent with COPD GOLD 3. The patient was managed with both lung cancer treatment and COPD therapy. Conclusion: This case underscores the importance of considering COPD in patients with lung cancer, especially those with a history of smoking. Early diagnosis of both conditions is crucial for optimizing treatment strategies and improving patient outcomes.

IRAK4: potential therapeutic target for airway disease exacerbations.

Inflammatory lung diseases represent a significant healthcare burden. There is an unmet need for identifying therapeutic targets for inflammatory lung diseases, such as asthma, and chronic obstructive pulmonary disease (COPD). In a recent study, Sayers et al. validate the inhibition of interleukin (IL)-1 receptor-associated kinase (IRAK)-4 as a potential therapeutic strategy toward lung inflammation and inflammatory airway diseases more generally.

Downhill: a new rehabilitation frontier. A systematic review of the literature.

In the last few years, we have seen the gradual spread of a new treadmill training modality, which involves walking not on the flat but downhill, also known as "downhill". This review aims to qualitatively assess the efficacy of downhill treatment on different patient populations and outline treatment routes for future efficacy studies. We searched five different databases: MEDLINE, SCOPUS, Web of Science, PEDro, and LILACS for studies to include. Only randomized controlled trials (RCTs) published in English were considered. PEDro scales and Risk of Bias 2 (RoB 2) assessment were used to evaluate the risk of bias. Forty-one RCTs were included, and three articles remained to be analyzed; the included studies showed 110 participants for three RCTs; of these, two were performed on patients diagnosed with chronic obstructive pulmonary disease (COPD), while one was for treating people with multiple sclerosis (MS). The outcome measures used in the studies were the pulmonary function test, the cardiopulmonary exercise test, the 6-Minute Walking Test, and the St. George Respiratory Questionnaire. In patients diagnosed with COPD, downhill training appears effective on functional capacity and symptoms of dyspnea and fatigue, while in people with MS, it increases strength and activity performance when compared to other walking training modalities. RoB 2 tool shows good methodological quality for all studies included in the review; when evaluated with the PEDro scale, all presented a score of 8. Downhill could be such an effective, safe, and feasible eccentric training modality that it can be considered a new rehabilitation strategy that could be implemented for patients with low exercise tolerance.

Joint association of systemic immune-inflammation index and phenotypic age acceleration with chronic respiratory disease: a cross-sectional study

BackgroundChronic respiratory diseases (CRD) represents a series of lung disorders and is posing a global health burden. Systemic inflammation and phenotypic ageing have been respectively reported to associate with certain CRD. However, little is known about the co-exposures and mutual associations of inflammation and ageing with CRD. Here, we aim to systematically elucidate the joint and mutual mediating associations of systemic immune-inflammation index (SII) and phenotypic age acceleration (PhenoAgeAccel) with CRD based on data from National Health and Nutrition Examination Survey (NHANES).MethodsData for this study was obtained from NHANES 2007–2010 and 2015–2018. The single and combined associations of SII and PhenoAgeAccel with CRD were analyzed using multivariable logistic regression models. The dose-response relationship between exposures and outcomes was determined by restricted cubic splines (RCS) regression. Subgroup and mediation analyses were further conducted.ResultsTotally, 15,075 participants were enrolled in this study including 3,587 CRD patients. Compare with controls, CRD patients tended to be older, females and present higher SII and PhenoAgeAccel values. Single-index analysis indicated that either SII or PhenoAgeAccel demonstrated a significantly positive association with CRD via logistic regressions and RCS curves. Furthermore, the joint-indexes analysis revealed that compared to individuals with lower SII and PhenoAgeAccel, those with higher SII and PhenoAgeAccel exhibited remarkably stronger associations with CRD (adjusted OR [aOR], 1.56; 95% CI, 1.31–1.85; P < 0.001), chronic obstructive pulmonary disease (aOR, 1.56; 95% CI, 1.22-2.00; P = 0.001) and asthma (aOR, 1.40; 95% CI, 1.16–1.70; P = 0.001), which were predominant among those aged above 40 years, females and smokers. Eventually, mediation analyses suggested the mutual mediating effects of SII and PhenoAgeAccel on CRD and PhenoAgeAccel mediated SII resulting in CRD more significantly.ConclusionThis study confirmed the coexposure effect and mutual mediation between SII and PhenoAgeAccel on CRD. We recommend that the joint assessment may conduce to the accurate identification for populations susceptible to CRD and early prevention of chronic respiratory diseases.

Prevalence and Economic Impact of Acute Respiratory Failure in the Prehospital Emergency Medical Service of the Madrid Community: Retrospective Cohort Study.

Chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), and acute pulmonary edema (APE) are serious illnesses that often require acute care from prehospital emergency medical services (EMSs). These respiratory diseases that cause acute respiratory failure (ARF) are one of the main reasons for hospitalization and death, generating high health care costs. The prevalence of the main respiratory diseases treated in a prehospital environment in the prepandemic period and during the COVID-19 pandemic in Spain is unknown. The Madrid Community EMS is a public service that serves all types of populations and represents an epidemiological reference for supporting a population of 6.4 million inhabitants. The high volume of patients treated by Madrid's medical advanced life supports (ALSs) allows us to analyze this little-studied problem. Our goal was to lay the groundwork for comprehensive data collection and surveillance of respiratory failure, with an emphasis on the most prevalent diseases that cause it, an aspect that has been largely overlooked in previous initiatives. By achieving these objectives, we hope to inform efforts to address respiratory failure and establish a standardized methodology and framework that can facilitate expansion to a continuous community-wide registry in Madrid, driving advances in emergency care and care practices in these pathologies. The aim of this retrospective observational study was to determine the pathologies that have mainly caused respiratory failure in patients and required medicalized ALS and to evaluate the cost of care for these pathologies collected through this pilot registry. A multicenter descriptive study was carried out in the Madrid Community EMS. The anonymized medical records of patients treated with medical ALS, who received any of the following medical diagnoses, were extracted: ARF not related to chronic respiratory disease, ARF in chronic respiratory failure, exacerbations of COPD, APE, CHF, and bronchospasm (not from asthma or COPD). The prevalence of each pathology, its evolution from 2014 to 2020, and the economic impact of the Medical ALSs were calculated. The study included 96,221 patients. The most common pathology was exacerbation of COPD, with a prevalence of 0.07% in 2014; it decreased to 0.03% in 2020. CHF followed at 0.06% in 2014 and 0.03% in 2020. APE had a prevalence of 0.01% in 2014, decreasing to 0.005% in 2020 with the pandemic. The greatest economic impact was on exacerbation of COPD in 2015, with an annual cost of €2,726,893 (which equals to US $2,864,628). COPD exacerbations had the higher prevalence in the Madrid region among the respiratory diseases studied. With the COVID-19 pandemic, the prevalence and costs of almost all these diseases decreased, except for ARF not related to chronic disease. The cost of these pathologies over 5 years was €58,791,031 (US $61,832,879).

Utility of Diaphragm Dome Height as a Marker of Operational Lung Volume Changes, Disease Burden and Exacerbations in Patients with Mild-to-Moderate COPD: An Observational Study Within the CanCOLD Cohort

BackgroundDynamic hyperinflation is central to dyspnoea, exercise limitation, and exacerbations in chronic obstructive pulmonary disease (COPD). While studied previously in moderate-severe COPD, the relevance of diaphragm dome height on clinically important outcomes has been under-investigated in mild-to-moderate COPD.MethodsCanadian Cohort Obstructive Lung Disease participants with spirometry-confirmed COPD, symptom-limited incremental cardiopulmonary exercise testing, and computed tomography image data were included. Base-to-apex left and right diaphragm dome height (DDH) was automatically segmented, with increased height implying less flattening and thus less hyperinflation. Dynamic hyperinflation was defined as ≥150 mL reduction in inspiratory capacity (IC) from rest to peak-exercise. Cross-sectional linear regression models were fitted between left and right DDH (predictor variables) with peak IC (ICpeak), peak workload (Wpeak), FEV1, and CAT score (outcome variables), and in longitudinal (Anderson-Gill) models with “symptom-based” and “event-based” exacerbations. Results are reported as parameter estimates or hazard ratios with 95%CIs per interquartile range dome height increment.ResultsAmong 304 participants (mean age 64.7±10.3, 41.8% female, 44.4% with mild COPD), each left and right DDH increment, respectively, was associated with ICpeak(0.21[0.13,0.29]L, 0.13[0.07,0.19]L), Wpeak(9.54[5.03,14.04]W, 6.04[2.45,9.62]W), FEV1(0.17[0.10,0.25]L, 0.08[0.02,0.14]L), and CAT score (−1.36[−2.39,−0.33], −0.82[−1.63,0.00]). Left DDH alone was associated with both symptom-based (HR: 0.82[0.74,0.91]) and event-based (0.83[0.73,0.95]) exacerbations. Of 167/304 participants with confirmed dynamic hyperinflation (ΔIC=−0.47±0.25 L), left DDH alone was associated with all outcomes (ICpeak, Wpeak, FEV1, CAT, and symptom-based/event-based exacerbations).ConclusionsLeft DDH appears to be a clinically important marker for operational lung volume changes, lung function, exercise performance, disease burden, and exacerbations in mild-to-moderate COPD.

FHIR PIT: a geospatial and spatiotemporal data integration pipeline to support subject-level clinical research

BackgroundEnvironmental exposures such as airborne pollutant exposures and socio-economic indicators are increasingly recognized as important to consider when conducting clinical research using electronic health record (EHR) data or other sources of clinical data such as survey data. While numerous public sources of geospatial and spatiotemporal data are available to support such research, the data are challenging to work with due to inconsistencies in file formats and spatiotemporal resolutions, computational challenges with large file sizes, and a lack of tools for patient- or subject-level data integration.ResultsWe developed FHIR PIT (HL7® Fast Healthcare Interoperability Resources Patient data Integration Tool) as an open-source, modular, data-integration software pipeline that consumes EHR data in FHIR® format and integrates the data at the level of the patient or subject with environmental exposures data of varying spatiotemporal resolutions and file formats. We applied FHIR PIT to generate “integrated feature tables” containing patient- or subject-level EHR data integrated with environmental exposures data on two cohorts: one on patients with asthma and related common pulmonary disorders; and a second on patients with primary ciliary dyskinesia and related rare pulmonary disorders. The data were then exposed via the open Integrated Clinical and Environmental Exposures Service, which was then queried to explore relationships between exposures to two representative airborne pollutants (particulate matter and ozone) and annual emergency department or inpatient visits for respiratory issues. We found that hospitalizations for respiratory issues were more common among patients exposed to relatively high levels of particulate matter and ozone and were higher overall among patients with primary ciliary dyskinesia than among patients with asthma.ConclusionsOur manuscript describes a major release of FHIR PIT v1.0 and includes a technical demonstration use case and a clinical application on the use of FHIR PIT to support research on environmental exposures and health outcomes related to asthma and primary ciliary dyskinesia. For application of the tool to common data models (CDMs) other than FHIR, we offer open-source conversion tools to map from the PCORnet, i2b2, and OMOP CDMs to FHIR.