False normal Lung Clearance Index in infants with cystic fibrosis due to software algorithms.

BACKGROUND Lung clearance index (LCI), a marker of ventilation inhomogeneity, is elevated early in children with cystic fibrosis (CF). However, in infants with CF, LCI values are found to be normal, although structural lung abnormalities are often detectable. We hypothesized that this discrepancy is due to inadequate algorithms of the available software package. AIM Our aim was to challenge the validity of these software algorithms. METHODS We compared multiple breath washout (MBW) results of current software algorithms (automatic modus) to refined algorithms (manual modus) in 17 asymptomatic infants with CF, and 24 matched healthy term-born infants. The main difference between these two analysis methods lies in the calculation of the molar mass differences that the system uses to define the completion of the measurement. RESULTS In infants with CF the refined manual modus revealed clearly elevated LCI above 9 in 8 out of 35 measurements (23%), all showing LCI values below 8.3 using the automatic modus (paired t-test comparing the means, P < 0.001). Healthy infants showed normal LCI values using both analysis methods (n = 47, paired t-test, P = 0.79). The most relevant reason for false normal LCI values in infants with CF using the automatic modus was the incorrect recognition of the end-of-test too early during the washout. CONCLUSION We recommend the use of the manual modus for the analysis of MBW outcomes in infants in order to obtain more accurate results. This will allow appropriate use of infant lung function results for clinical and scientific purposes.

Lung clearance index in cystic fibrosis subjects treated for pulmonary exacerbations.

Pulmonary exacerbations are important clinical events for cystic fibrosis (CF) patients. Studies assessing the ability of the lung clearance index (LCI) to detect treatment response for pulmonary exacerbations have yielded heterogeneous results. Here, we conduct a retrospective analysis of pooled LCI data to assess treatment with intravenous antibiotics for pulmonary exacerbations and to understand factors explaining the heterogeneous response.A systematic literature search was performed to identify prospective observational studies. Factors predicting the relative change in LCI and spirometry were evaluated while adjusting for within-study clustering.Six previously reported studies and one unpublished study, which included 176 pulmonary exacerbations in both paediatric and adult patients, were included. Overall, LCI significantly decreased by 0.40 units (95% CI -0.60- -0.19, p=0.004) or 2.5% following treatment. The relative change in LCI was significantly correlated with the relative change in forced expiratory volume in 1 s (FEV1), but results were discordant in 42.5% of subjects (80 out of 188). Higher (worse) baseline LCI was associated with a greater improvement in LCI (slope: -0.9%, 95% CI -1.0- -0.4%).LCI response to therapy for pulmonary exacerbations is heterogeneous in CF patients; the overall effect size is small and results are often discordant with FEV1.

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

Automated tissue characterization is one of the most crucial components of a computer aided diagnosis (CAD) system for interstitial lung diseases (ILDs). Although much research has been conducted in this field, the problem remains challenging. Deep learning techniques have recently achieved impressive results in a variety of computer vision problems, raising expectations that they might be applied in other domains, such as medical image analysis. In this paper, we propose and evaluate a convolutional neural network (CNN), designed for the classification of ILD patterns. The proposed network consists of 5 convolutional layers with 2×2 kernels and LeakyReLU activations, followed by average pooling with size equal to the size of the final feature maps and three dense layers. The last dense layer has 7 outputs, equivalent to the classes considered: healthy, ground glass opacity (GGO), micronodules, consolidation, reticulation, honeycombing and a combination of GGO/reticulation. To train and evaluate the CNN, we used a dataset of 14696 image patches, derived by 120 CT scans from different scanners and hospitals. To the best of our knowledge, this is the first deep CNN designed for the specific problem. A comparative analysis proved the effectiveness of the proposed CNN against previous methods in a challenging dataset. The classification performance (~85.5%) demonstrated the potential of CNNs in analyzing lung patterns. Future work includes, extending the CNN to three-dimensional data provided by CT volume scans and integrating the proposed method into a CAD system that aims to provide differential diagnosis for ILDs as a supportive tool for radiologists.

Prediction of improvement in skin fibrosis in diffuse cutaneous systemic sclerosis: a EUSTAR analysis

OBJECTIVES Improvement of skin fibrosis is part of the natural course of diffuse cutaneous systemic sclerosis (dcSSc). Recognising those patients most likely to improve could help tailoring clinical management and cohort enrichment for clinical trials. In this study, we aimed to identify predictors for improvement of skin fibrosis in patients with dcSSc. METHODS We performed a longitudinal analysis of the European Scleroderma Trials And Research (EUSTAR) registry including patients with dcSSc, fulfilling American College of Rheumatology criteria, baseline modified Rodnan skin score (mRSS) ≥7 and follow-up mRSS at 12±2 months. The primary outcome was skin improvement (decrease in mRSS of >5 points and ≥25%) at 1 year follow-up. A respective increase in mRSS was considered progression. Candidate predictors for skin improvement were selected by expert opinion and logistic regression with bootstrap validation was applied. RESULTS From the 919 patients included, 218 (24%) improved and 95 (10%) progressed. Eleven candidate predictors for skin improvement were analysed. The final model identified high baseline mRSS and absence of tendon friction rubs as independent predictors of skin improvement. The baseline mRSS was the strongest predictor of skin improvement, independent of disease duration. An upper threshold between 18 and 25 performed best in enriching for progressors over regressors. CONCLUSIONS Patients with advanced skin fibrosis at baseline and absence of tendon friction rubs are more likely to regress in the next year than patients with milder skin fibrosis. These evidence-based data can be implemented in clinical trial design to minimise the inclusion of patients who would regress under standard of care.

Clonality and Antimicrobial Susceptibility of Burkholderia cepacia complex Isolates Collected from Cystic Fibrosis Patients during 1998-2013 in Bern, Switzerland.

For the first time, we analyzed the clonality and susceptibility of Burkholderia cepacia complex isolates (n=55) collected during 1998-2013 from 44 Swiss cystic fibrosis (CF)-patients. B. cenocepacia (n=28) and B. multivorans (n=14) were mainly of sequence type (ST) 833 and ST874, respectively; B. contaminans isolates were of ST102. Overall, the following MIC50/90s (mg/l) were obtained: piperacillin/tazobactam (≤ 4/≥ 128), ticarcillin/clavulanate (≥ 256/≥256), ceftazidime (2/≥ 32), aztreonam (16/≥ 32), meropenem (2/8), tobramycin (8/≥ 16), minocycline (≤ 1/16), levofloxacin (≤ 0.5/≥ 16), and trimethoprim/sulfamethoxazole (≤ 0.5/4). This is the first survey providing information on the clonality of Bcc detected in Switzerland. Species identification and antimicrobial susceptibility tests should always be routinely performed to adapt more targeted therapies.

Mechanisms of apoptosis in bleomycin-induced lung injury: Implications for pulmonary fibrosis

Chronic inflammation leading to pulmonary fibrosis develops in response to environmental pollutants, radiotherapy, or certain cancer chemotherapeutic agents. Studies have shown that several cell types accumulate during the inflammatory process, but little information is known about what actually triggers and stimulates persistent inflammation culminating in fibrosis. As a first step in defining the events that precipitate inflammation in the lung, the biological mechanism(s) mediating apoptosis and cellular targets must be identified. The purpose of this study was to determine the molecular mechanism(s) of bleomycin-induced apoptosis in the lung using mice deficient in genes that we hypothesized to play a key role in apoptosis. Intratracheal administration of bleomycin led to caspase-mediated DNA fragmentation characteristic of apoptosis. The effects of bleomycin were associated with translocation of p53 from the cytosol to the nucleus only in alveolar macrophages that had been exposed to the drug in vivo, suggesting that the lung microenvironment regulated p53 activation. Experiments with a thiol antioxidant (N-acetylcysteine) in vivo and nitric oxide donors in vitro confirmed that reactive oxygen species were required for p53 activation. A specific role for NO was demonstrated in experiments with iNOS−/− macrophages, which failed to demonstrate nuclear p53 localization after in vivo bleomycin exposure. Strikingly, rates of bleomycin-induced apoptosis were at least two-fold higher in iNOS−/− and p53−/− C57BL/6 mice compared to wild-type controls. Laser Scanning Cytometry (LSC) analysis revealed that bleomycin exposure resulted in a 2-fold induction in Fas and FasL expression in wild-type mice but not iNOS−/− or p53−/− mice. Experiments using gld mice confirmed that the Fas/FasL pathway was the primary mechanism of bleomycin-induced apoptosis in the lung. LSC-mediated analysis indicated that bleomycin exposure resulted in a 2-fold induction in Bax expression in iNOS−/− and P53−/− mice but not wild-type mice. Furthermore, LSC analysis revealed that bleomycin exposure induced a 3-fold increase in thrombospondin expression in wild-type mice. However, thrombospondin was not expressed in either the iNOS−/− or p53−/− mice, implicating a thrombospondin-mediated apoptotic cell clearance mechanism in the lung. Together, these results demonstrate that iNOS and p53 positively regulate apoptosis via the Fas/FasL pathway and mediate a novel apoptosis-suppressing pathway in the lung. ^

The role of transforming growth factor beta signaling in cardiac hypertrophy and fibrosis in heart failure

Objective. To determine whether transforming growth factor beta (TGF-β) receptor blockade using an oral antagonist has an effect on cardiac myocyte size in the hearts of transgenic mice with a heart failure phenotype. ^ Methods. In this pilot experimental study, cardiac tissue sections from the hearts of transgenic mice overexpressing tumor necrosis factor (MHCsTNF mice) having a phenotype of heart failure and wild-type mice, treated with an orally available TGF-β receptor antagonist were stained with wheat germ agglutinin to delineate the myocyte cell membrane and imaged using fluorescence microscopy. Using MetaVue software, the cardiac myocyte circumference was traced and the cross sectional area (CSA) of individual myocytes were measured. Measurements were repeated at the epicardial, mid-myocardial and endocardial levels to ensure adequate sampling and to minimize the effect of regional variations in myocyte size. ANOVA testing with post-hoc pairwise comparisons was done to assess any difference between the drug-treated and diluent-treated groups. ^ Results. There were no statistically significant differences in the average myocyte CSA measured at the epicardial, mid-myocardial or endocardial levels between diluent treated littermate control mice, drug treated normal mice, diluent-treated transgenic mice and drug-treated transgenic mice. There was no difference between the average pan-myocardial cross sectional area between any of the four groups mentioned above. ^ Conclusions. TGF-β receptor blockade using oral TGF-β receptor antagonist does not alter myocyte size in MHCsTNF mice that have a phenotype of heart failure. ^

Adenosine induced pulmonary fibrosis and the contribution of the adenosine A2B receptor to the induction of osteopontin in a mouse model of pulmonary fibrosis

Pulmonary fibrosis is a devastating and lethal lung disease with no current cure. Research into cellular signaling pathways able to modulate aspects of pulmonary inflammation and fibrosis will aid in the development of effective therapies for its treatment. Our laboratory has generated a transgenic/knockout mouse with systemic elevations in adenosine due to the partial lack of its metabolic enzyme, adenosine deaminase (ADA). These mice spontaneously develop progressive lung inflammation and severe pulmonary fibrosis suggesting that aberrant adenosine signaling is influencing the development and/or progression of the disease in these animals. These mice also show marked increases in the pro-fibrotic mediator, osteopontin (OPN), which are reversed through ADA therapy that serves to lower lung adenosine levels and ameliorate aspects of the disease. OPN is known to be regulated by intracellular signaling pathways that can be accessed through adenosine receptors, particularly the low affinity A2BR receptor, suggesting that adenosine receptor signaling may be responsible for the induction of OPN in our model. In-vitro, adenosine and the broad spectrum adenosine receptor agonist, NECA, were able to induce a 2.5-fold increase in OPN transcripts in primary alveolar macrophages. This induction was blocked through antagonism of the A2BR receptor pharmacologically, and through the deletion of the receptor subtype in these cells genetically, supporting the hypothesis that the A2BR receptor was responsible for the induction of OPN in our model. These findings demonstrate for the first time that adenosine signaling is an important modulator of pulmonary fibrosis in ADA-deficient mice and that this is in part due to signaling through the A2BR receptor which leads to the induction of the pro-fibrotic molecule, otseopontin. ^

Specialized managed care for children with cystic fibrosis: Resource use patterns and rate design for a high cost Medicaid population

Objective. This research study had two goals: (1) to describe resource consumption patterns for Medi-Cal children with cystic fibrosis, and (2) to explore the feasibility from a rate design perspective of developing specialized managed care plans for such a special needs population.^ Background. Children with special health care needs (CSHN) comprise about 2% of the California Medicaid pediatric population. CSHN have rare but serious health problems, such as cystic fibrosis. Medicaid programs, including Medi-Cal, are enrolling more and more beneficiaries in managed care to control costs. CSHN, however, do not fit the wellness model underlying most managed care plans. Child health advocates believe that both efficiency and quality will suffer if CSHN are removed from regionalized special care centers and scattered among general purpose plans. They believe that CSHN should be "carved out" from enrollment in general plans. One alternative is the Specialized Managed Care Plan, tailored for CSHN.^ Methods. The study population consisted of children under age 21 with CF who were eligible for Medi-Cal and California Children's Services program (CCS) during 1991. Health Care Financing Administration (HCFA) Medicaid Tape-to-Tape data were analyzed as part of a California Children's Hospital Association (CCHA) project.^ Results. Mean Medi-Cal expenditures per month enrolled were $2,302 for 457 CF children, compared to about \$1,270 for all 47,000 CCS special needs children and roughly $60 for almost 2.6 million ``regular needs'' children. For CF children, inpatient care (80\%) and outpatient drugs (9\%) were the major cost drivers, with {\it all\/} outpatient visits comprising only 2\% of expenditures. About one-third of CF children were eligible due to AFDC (Aid to Families with Dependent Children). Age group explained about 17\% of all expenditure variation. Regression analysis was used to select the best capitation rate structure (rate cells by age and eligibility group). Sensitivity analysis estimated moderate financial risk for a statewide plan (360 enrollees), but severe risk for single county implementation due to small numbers of children.^ Conclusions. Study results support the carve out of CSHN due to unique expenditure patterns. The Specialized Managed Care Plan concept appears feasible from a rate design perspective given sufficient enrollees. ^

Evaluation of the impact of access to free influenza vaccine on immunization rates for children with cystic fibrosis

Children with cystic fibrosis are at increased risk of seasonal influenza associated complications, which makes them a judicious target of interventions designed to increase influenza vaccination rates. The Baylor College of Medicine/Texas Children's Hospital Pediatric Cystic Fibrosis (BCM/TCH CF) Care Center implemented an enhanced multi-component initiative designed to increase influenza vaccination rates in its patient population during the 2011-2012 influenza season. We evaluated the impact of specific components of this intervention on vaccination rates among the clinic's patient population via a historical medical chart review and examined the relationship between vaccination status and the number of pulmonary exacerbations requiring hospital admission during the influenza season. The multi-component intervention was comprised of providing influenza free of charge in the CF Care Center, reminders via phone call and letters, and drive through influenza vaccine clinics on nights and weekends. The intervention to increase influenza vaccination rates led to overall improved vaccination rates among the patients at the BCM/TCH CF Care Center, increasing from 90% adherence observed during the 2010-2011 season to 94% adherence during the 2011-2012 season. The availability of free influenza vaccine in the CF Care Center, combined with reminders about being vaccinated early in the season proved to be the most effective practices for improving the vaccination rate in the CF Care Center.^