Skip to main content

STUDY PROTOCOL article

Front. Med., 06 January 2023
Sec. Pulmonary Medicine
This article is part of the Research Topic An Overview on Allergic and Pulmonary Diseases: from Birth to Childhood View all 9 articles

TRACK-CF prospective cohort study: Understanding early cystic fibrosis lung disease

\nEva Steinke,,*&#x;Eva Steinke1,2,3*Olaf Sommerburg,&#x;Olaf Sommerburg4,5Simon Y. Graeber,,Simon Y. Graeber1,2,3Cornelia Joachim,Cornelia Joachim4,5Christiane LabitzkeChristiane Labitzke1Gyde Nissen,Gyde Nissen6,7Isabell Ricklefs,Isabell Ricklefs6,7Isa Rudolf,Isa Rudolf8,9Matthias V. Kopp,,Matthias V. Kopp6,7,10Anna-Maria Dittrich,Anna-Maria Dittrich8,9Marcus A. Mall,,&#x;Marcus A. Mall1,2,3Mirjam Stahl,,&#x;Mirjam Stahl1,2,3
  • 1Department of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité–Universitätsmedizin Berlin, Berlin, Germany
  • 2German Center for Lung Research (DZL), Associated Partner Site, Berlin, Germany
  • 3Berlin Institute of Health (BIH) at Charité, Berlin, Germany
  • 4Division of Pediatric Pulmonology and Allergy and Cystic Fibrosis Center, Department of Translational Pulmonology, University of Heidelberg, Heidelberg, Germany
  • 5Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
  • 6Division of Pediatric Pneumology and Allergology, University of Lübeck, Lübeck, Germany
  • 7Airway Research Center North (ARCN), German Center for Lung Research (DZL), Lübeck, Germany
  • 8Department of Pediatric Pneumology, Allergology and Neonatology, Hannover Medical School, Hannover, Germany
  • 9Biomedical Research in Endstage and Obstructive Lung Disease (BREATH), German Center for Lung Research (DZL), Hannover, Germany
  • 10Division of Respiratory Medicine, Department of Pediatrics, University Children's Hospital, Inselspital, University of Bern, Bern, Switzerland

Background: Lung disease as major cause for morbidity in patients with cystic fibrosis (CF) starts early in life. Its large phenotypic heterogeneity is partially explained by the genotype but other contributing factors are not well delineated. The close relationship between mucus, inflammation and infection, drives morpho-functional alterations already early in pediatric CF disease, The TRACK-CF cohort has been established to gain insight to disease onset and progression, assessed by lung function testing and imaging to capture morpho-functional changes and to associate these with risk and protective factors, which contribute to the variation of the CF lung disease progression.

Methods and design: TRACK-CF is a prospective, longitudinal, observational cohort study following patients with CF from newborn screening or clinical diagnosis throughout childhood. The study protocol includes monthly telephone interviews, quarterly visits with microbiological sampling and multiple-breath washout and as well as a yearly chest magnetic resonance imaging. A parallel biobank has been set up to enable the translation from the deeply phenotyped cohort to the validation of relevant biomarkers. The main goal is to determine influencing factors by the combined analysis of clinical information and biomaterials. Primary endpoints are the lung clearance index by multiple breath washout and semi-quantitative magnetic resonance imaging scores. The frequency of pulmonary exacerbations, infection with pro-inflammatory pathogens and anthropometric data are defined as secondary endpoints.

Discussion: This extensive cohort includes children after diagnosis with comprehensive monitoring throughout childhood. The unique composition and the use of validated, sensitive methods with the attached biobank bears the potential to decisively advance the understanding of early CF lung disease.

Ethics and trial registration: The study protocol was approved by the Ethics Committees of the University of Heidelberg (approval S-211/2011) and each participating site and is registered at clinicaltrials.gov (NCT02270476).

Background

Cystic fibrosis (CF) lung disease is the main cause of mortality and morbidity in patients with CF for whom the emergence of effective mucolytic, anti-infective and causal cystic fibrosis transmembrane conductance regulator (CFTR) modulating therapies has markedly increased disease prospects (1, 2). The accumulation of viscous mucus facilitates neutrophilic inflammation, which propels the development of structural lung disease (3, 4). Inflammation, initially sterile, later impacted upon by bacteria, entails oxidative stress and a vicious cycle of increased mucus, which promotes inflammation, infection and dysbiosis (5). The lung microbiome changes within the first years of life with an increasing detection of pathogens that in turn promote lung damage (68). Investigation of newborn screening (NBS) cohorts revealed that CF lung disease starts soon after birth with airway mucus plugging and airtrapping, structural alterations such as bronchial wall thickening, bronchial dilatation, and bronchiectasis and an impairment in lung function in asymptomatic infants already at the age of 3 months (911). Repeated investigations through early childhood demonstrate progression of structural and functional changes in preschool children with CF (12, 13).

The introduction of NBS for CF has advanced detection and early treatment initiation in infants with CF (14, 15). A positive risk-benefit assessment especially regarding nutritional outcomes and growth as well as a reduced hospitalization rate has been demonstrated (1618). Similarly, studies reporting comparison with historic controls have shown an advantage in survival of screened children and have supported the initiation of CF NBS in many countries (19, 20). In Germany, CF NBS has been implemented nationwide in 2016 (21) but regional screening programs, including a pilot study in Southwest Germany starting in 2008, had been introduced earlier (22). The relevance of the NBS is undisputed bearing in mind the early onset of pulmonary alterations and the narrow window of opportunity to prevent irreversible changes by means of early interventions. The interest in the development and progression of the early phase of CF lung disease has therefore risen and novel methods and study endpoints now facilitate the investigation of its pathogenesis (23, 24).

Spirometry used in older patients to investigate lung function, is not feasible in infants and young preschool children, who are not sufficiently cooperative to perform forced breathing manoeuvers. Furthermore, several studies have demonstrated a lack of sensitivity of spirometric parameters for early pulmonary alterations (25, 26). Multiple-breath washout (MBW), a lung function test performed in quiet tidal breathing to investigate ventilation homogeneity, has thus gained importance, as it is sensitive and feasible from infancy onwards (27). Its principal read-out parameter, the lung clearance index 2.5% (LCI2.5), detects progression of CF lung disease (13, 28). It furthermore correlates with infection with Pseudomonas aeruginosa and airway inflammation and serves as predictor for later spirometry results and survival of patients with CF (13, 2931).

Computed tomography (CT) is mainly used to examine lung structure due to its high spatial resolution, short investigation time and ubiquitous availability. Despite first CT abnormalities in infants, correlations with findings in MBW were only present from later childhood on (9, 10, 3234). With respect to the increasing life expectancy of patients with CF, an alternative radiation-free imaging tool is essential (35). Magnetic resonance imaging (MRI) is utilized to examine the pediatric lung with a sensitivity to detect early CF lung disease that is comparable to CT (3638). In contrast to CT, chest MRI allows a combined analysis of morphological and functional properties with lung perfusion as a surrogate parameter for ventilation deficits (39, 40).

The broad phenotypic variability of lung disease is already present in children with CF. However, differences in onset and progression of lung disease in early childhood, as well as risk factors and biomarkers to predict the course of CF lung disease remain poorly understood (41, 42). Therefore, we set up a prospective multicenter longitudinal study of early CF lung disease, TRACK-CF (clinicaltrials.gov: NCT02270476). This study uniquely incorporates MBW and MRI and an attached biobank in a prospective, comprehensive observational real-world setting in children diagnosed following CF NBS or clinical symptoms. Based on complementary information provided by MRI and MBW and the potential of molecular studies in biological samples, it aims to gain insight into the disease-promoting vs. protective mechanisms within the German Center for Lung Research (Deutsches Zentrum für Lungenforschung, DZL).

Study design and methods

Localization / Funding

The TRACK-CF study cohort was initiated at the participating CF centers of the University Hospitals of Heidelberg, Hannover, Luebeck and Berlin, members of the German Center for Lung Research (DZL). The study protocol was approved by the Ethics Committees of the University of Heidelberg (approval S-211/2011) and each participating site and is registered at clinicaltrials.gov (NCT02270476).

Cohort description

Informed written consent is obtained from all parents or legal guardians of participants. We recruited infants and pre-school children based on a positive CF NBS result from a regional (before comprehensive introduction of CF NBS in September 2016) or national (after comprehensive introduction of CF NBS in Germany) CF NBS program, or clinical symptoms suggestive of CF (22, 43). The German CF NBS protocol is based on an IRT/PAP/DNA protocol including an IRT-dependent safety net strategy (22).

For analysis, study participants are assigned to one of three groups according to the mode and time of diagnosis: i) diagnosis based on CF newborn screening (NBS); ii) early clinical diagnosis (ECD) within the first 4 months of life; and iii) late clinical diagnosis (LCD) after the first 4 months of life. The NBS group consists of children diagnosed with CF following a positive CF NBS test result and confirmation diagnostics (see below “in-/exclusion criteria”). Asymptomatic infants with a prenatal diagnosis or an early diagnosis of CF due to a positive family history are similarly assigned to the NBS group. CF-typical symptoms leading to a clinical diagnosis and attribution to the ECD or LCD group are meconium ileus, failure to thrive, respiratory symptoms and infections or gastrointestinal symptoms.

In-/exclusion criteria

The diagnosis of CF is based on internationally recognized criteria: i) a sweat chloride concentration ≥ 60 mmol/l or ii) two CF-causing mutations in the CFTR gene or iii) impaired CFTR function as determined from transepithelial bioelectric measurements of intestinal current measurements (ICM) (44, 45). Prematurity <30th gestational week as well as a prolonged period of mechanical ventilation within the first 3 months of life and other chronic lung diseases such as bronchopulmonary dysplasia are defined as exclusion criteria. Moreover, previous major surgeries except for meconium ileus and intestinal atresia as well as other major organ dysfunctions not related to CF lead to exclusion. As MRI is one key outcome measure, in case of claustrophobia or known adverse reactions to sedatives used, the child is not eligible.

Visit schedule

To minimize the burden for participants and their families, study visits are combined with routine visits at the CF center. Starting from diagnosis, children are followed at the specialized CF center and usually present quarterly for clinical assessments, lung function tests, microbiological swabs and quality of life (QoL) evaluation (Figure 1). The annual check-up furthermore includes blood withdrawal and chest imaging by MRI (Figure 2). Microbiological material such as nose and throat swabs or sputum are similarly taken quarterly as part of the clinical routine. All investigations besides the QoL assessments are part of the clinical routine for all patients with CF. An associated biobank has been established for samples of blood (serum, EDTA, Paxgene Tube), stool, urine, and airway secretion samples (nose swabs, nasal lavage fluids, throat swabs, sputum). CF treatment at all centers complies with the European Practice Guidelines (46, 47). To obtain close monitoring, TRACK-CF study participants are additionally contacted via monthly telephone interviews to acquire information on symptoms and the child's general health as well as potential changes in treatment (Table 1).

FIGURE 1
www.frontiersin.org

Figure 1. TRACK-CF summary. The strategy to examine the different stages of CF lung disease development (“Background”) is presented on top. The study endpoints and regularly performed examinations from birth to adulthood are displayed in the center and the endpoints and covered aspects of early CF lung disease are shown at the bottom of the figure. The overall aims are to improve the quality of life and the survival through the identification of risk factors, biomarkers and novel therapeutic targets (right). This figure was created with BioRender.com.

FIGURE 2
www.frontiersin.org

Figure 2. TRACK-CF study design. Exemplary scheme for the first year following diagnosis. Black arrows indicate quarterly routine visits at the CF center; gray arrows indicate study visits performed as telephone interviews in months without a visit to the CF center. This assessment routine is repeated each year. CF, cystic fibrosis; QoL, quality of life questionnaire; MBW, multiple-breath washout; MRI, magnetic resonance imaging.

TABLE 1
www.frontiersin.org

Table 1. Questionnaire and timepoints.

Data measurements

Medical history by questionnaires/telephone interview

At baseline, the previous medical history focusses on the CF diagnostic procedure. Possible prenatal screening results, sweat test results as well as the family history for CF are included. Similarly, anthropometry at birth and preceding CF-typical symptoms and in- and exclusion criteria are obtained (Table 1).

TRACK-CF questionnaires are completed by a medical professional in cooperation with the parent and child. The same questionnaire is used for telephone interviews, at every study visit and an extended version in case of an annual check-up (Table 1). Telephone interviews are performed monthly by an experienced study nurse with a focus on symptoms within the preceding 4 weeks and ongoing therapy.

Pulmonary exacerbations

PEx are defined according to modified Fuchs criteria (48). Modification concerns the application of the antibiotic used to treat the PEx, accepting oral administration and inhalation besides intravenous injection. 4 out of 12 criteria including a newly initiated antibiotic treatment have to be met such as cough, sputum, fever, malaise, sinunasal symptoms and weight loss (48).

Anthropometry

At every quarterly visit, children are examined by an experienced pediatrician with a documentation of anthropometric data to assess growth. Thriving is determined by the standard deviation score (SDS) compared to the German pediatric reference population with normal growth defined as±1.64 SD (49, 50).

Microbiology

Infections with known proinflammatory pathogens play a crucial role in CF lung disease development and are associated with airway remodeling and destruction (51, 52). Especially Pseudomonas aeruginosa, Staphylococcus aureus, Haemophilus influenzae, Streptococcus pneumoniae and Aspergillus species have been identified as relevant pathogens in children with CF (51). Quarterly nose and throat swabs or sputum samples, if producible, are examined for diagnostic purposes and to initiate antibiotic treatment where appropriate. Infection status is documented for each pathogen. Pseudomonas aeruginosa status is determined based on previous microbiological swabs and antibodies against the pathogen's proteins alkaline protease, elastase and exotoxin A. The status Pseudomonas aeruginosa negative is defined as no detection of Pseudomonas aeruginosa for at least a year without antibiotic treatment against this pathogen, intermittent Pseudomonas aeruginosa infection is specified as a detection of Pseudomonas aeruginosa in <50% of the swabs within the previous 12 months. Chronic Pseudomonas aeruginosa infection is defined as P. aeruginosa in ≥50% of the swabs or at least two of three documented Pseudomonas-specific antibody titers above the threshold of 1:1250.

Blood samples

Blood draws take place in case of routine blood sampling for clinical purposes. At least annually, basic parameters such as blood gas analysis to objectify gas exchange and blood count and parameters for systemic inflammation are determined. Levels of fat-soluble vitamins are checked on a yearly basis to avoid deficiencies by optimized supplementation. Additionally, liver, renal, pancreatic function are examined due to the potential affection of these organs in children with CF.

Biobanking

A complementary biobank was set up simultaneously. Samples from study participants are collected following the parents' or legal guardians' consent. Microbiological nose and throat swabs and sputum samples are collected regularly and excess material as well as tissue from intervention or operation are frozen for future analysis. Serum tubes are taken for protein preservation, EDTA and Paxgene tubes are used for DNA and RNA storage. The material is securely stored in a freezer at −20 to −80°C, as appropriate, at each participating site.

Multiple-breath washout

Multiple-breath washout testing is performed with the Exhalyzer D system (Eco Medics, Duernten, Switzerland) and weight- and age-adapted protocols using either 4% sulfur hexafluoride (SF6) or resident nitrogen (N2) as tracer gas as previously described (53, 54). All MBW measurements are (re-)analyzed using Spiroware version 3.3.1 (Eco Medics, Duernten, Switzerland) (55). The main parameter derived from MBW is the LCI2.5, reflecting the number of lung turnovers necessary to clear a tracer gas from the lungs with higher values indicating more ventilation inhomogeneity. For age- and tracer gas-overarching analyses, LCI2.5 values are transformed into z-scores, and the upper limit of normal is determined based on control groups of children without lung disease examined under the same conditions with SF6- or N2-MBW, respectively (56).

Morpho-functional chest MRI

Annual MRI scans are performed in all study participants as previously reported (36, 57). Infants and children under the age of 6 years undergo sedation with chloral hydrate for this procedure. Children older than 6 years are capable of performing the MRI procedure without any medication. Chloral hydrate is preferred compared to other sedatives to enable free breathing and to reduce sedative-induced atelectasis (58, 59). In short, T1-weighted sequences before and after intravenous contrast, T2-weighted sequences, and first-pass perfusion imaging are acquired in free breathing using a clinical 1.5T MR scanner (Magnetom Avanto, Siemens Medical AG, Erlangen, Germany). Images are assessed for morphological abnormalities (MRI morphology score and subscores for wall thickening/bronchiectasis, mucus plugging, sacculations/abscesses, consolidations, and pleural reaction) and perfusion deficits using a validated MRI score as previously described (36, 60). Perfusion studies with administration of intravenous contrast material were limited to children ≥12 months of age before its approval for use in infants in Germany in 2015 (61). The extent of structural abnormalities and abnormal perfusion are rated in each lobe as 0 (no abnormality), 1 (<50% of the lobe involved), or 2 (≥50% of the lobe involved). The global score reflects the sum of the morphology and perfusion score. An MRI score > 0 is defined as abnormal (62).

Quality of life questionnaire CFQ-R

To examine personal and mental well-being as important component of CF treatment, the health-related quality of life is evaluated using age-specific versions of the disease-specific and validated Cystic Fibrosis Questionnaire-Revised (CFQ-R) (63, 64). It comprises three categories: health-related QoL, symptoms and overall health perception. Each category is rated by the child from the age of 6 years and/or its parents. The grading follows the four levels according to the Likert-scale.

Study endpoints and objectives

Primary study endpoints are the LCI2.5 and the MRI score. Secondary endpoints are thriving, the number of PEx, the rate of detection of proinflammatory pathogens and the CFQ-R. CFTR genotypes, the presence of symptoms such as cough, and the use of CFTR modulators will be part of an explorative analysis on risk and protective factors for disease progression. The main objective of this TRACK-CF study is to identify risk factors and protective factors that determine the onset and progression of CF lung disease (Figure 1). Subaims are i) the implementation and validation of MBW and MRI as sensitive non-invasive outcome measure, ii) cross-sectional and longitudinal evaluation of MBW and MRI, their mutual relationship and differences between the 3 diagnostic groups to characterize disease progression, severity and response to therapy, iii) the association of MBW and MRI with clinical and microbiological data to identify protective and risk factors such as the role of environmental factors, PEx and pathogens and iv) the analysis of serum markers and the genome in order to identify new biomarkers and modifier genes. Additional research questions may arise during the course of the study.

Data management

Source data of the standardized questionnaires and visit checklists are transferred to a Microsoft Access data base (Access 2016, Microsoft Corporation, Redmond, WA, USA) and can be extracted and analyzed with SPSS Statistics version 22 (SPSS Inc., Chicago, IL, USA) and R (R Core Team 2016, R foundation for Statistical Computing, Vienna, Austria) according to the respective scientific question and study endpoint.

Discussion

TRACK-CF is a unique prospective longitudinal observational trial including pediatric patients with CF from diagnosis onwards aiming at an enhanced investigation and understanding of early CF lung disease. TRACK-CF is a comprehensive approach combining a deeply phenotyped patient cohort with the collection of biomaterials. Furthermore, it is the first observational study on early CF lung disease with sensitive endpoints of morpho-functional changes recruiting both children diagnosed by CF NBS and based on clinical symptoms side by side without the need for historical controls.

Several other ongoing observational cohort studies such as the London Cystic Fibrosis Collaboration (LCFC), the Australian Respiratory Early Surveillance Team for CF (AREST CF) and the Study of Host Immunity and Early Lung Disease in CF (SHIELD CF) focus on early CF lung disease and collect clinical parameters, microbiological data, lung function testing and imaging methods during childhood (34, 65, 66). So far, CT has been the gold standard for thoracic imaging in CF and has shown the occurrence of first structural changes in the CF lung at an age of three months underlining the relevance of imaging tools (10). Despite its decreased spatial resolution compared to CT, chest MRI has gained importance due to its high sensitivity to detect morpho-functional changes. Of note, perfusion abnormalities visualize hypoxic pulmonary vasoconstriction due to mucus plugging including airways that are not visible by MRI adding to the value of MRI in imaging CF lung disease. Compared to AREST CF and LCFC using CT, the broad implementation of MRI as morpho-functional and radiation-free method is novel in the TRACK-CF cohort (67).

The regional introduction of the NBS in Germany has brought the exceptional opportunity of simultaneous groups of children with CF at the same age, but with different modes of diagnoses, i.e., either following NBS or clinical signs and symptoms typical for CF. In other countries, the NBS is immediately implemented nationally which consequently leads to a divergent observation period in older, clinically diagnosed children and younger newborn screened children. Bearing in mind the regular adaption of CF therapy, the parallel examination of all children at the same age prevents confounding results due to shifted study periods and historic control groups. This is important given the tremendous improvements in therapy and life expectancy in patients with CF in the last decades.

The TRACK-CF cohort has been initiated in 2011 and has grown ever since. So far, 163 children have been recruited and have been followed for up to 10 consecutive years. To enlarge the understanding of early CF lung disease, appropriate non-invasive outcome measures suitable for the use in infants and preschool children are necessary. The initial trial phase has therefore focused on the establishment and validation of the applied methods, especially MBW as lung function and MRI as a morpho-functional modality. The implementation of MBW in the TRACK-CF cohort has proven its feasibility in the real-life setting (68). Analysis of MBW in sedated infants and preschool children below the age of 4 years across multiple centers resulted in about 90% of successful measurements with satisfying comparability (68). In experienced centers and those naïve to the performance of MBW, an overall success rate of 82.4% was achieved in awake children at preschool age (69). The sensitivity of MBW to detect ventilation inhomogeneities in children with CF and other lung diseases was shown to be high across participating centers (68, 70). The analysis of the mean LCI2.5 showed a significantly higher LCI2.5 in children with CF compared to age-matched healthy controls with a significantly higher frequency of elevated LCI2.5 in affected children (6870). Other studies have described a larger individual variability of LCI2.5 following intravenous treatment of PEx (71, 72) than our results (56, 6870). The difference might be explained by the younger TRACK-CF age range in which mobilization of mucus may lead to an increased ventilation homogeneity compared to a recruitment of initially obstructed airways in older children and adults.

Routine chest imaging was previously based on CT. Comparison of CT and MRI found similar sensitivity to detect morphological changes and an advantage of MRI to evaluate functional properties through perfusion analysis (37). The TRACK-CF cohort has significantly advanced the introduction and validation of MRI as non-invasive outcome measure in children. In a cross-sectional analysis, morpho-functional alterations in children with CF, especially wall thickening and mucus plugging, were more frequent and more severe compared to non-CF lung disease controls (60). Therapy of PEx resulted in a decrease of MRI scores in children with CF reflecting treatment response (60). MRI was successfully implemented across four CF centers of the German Center for Lung Research (DZL), including the development of a standardized protocol (62). Recently, MRI delineated the longitudinal progression of early CF lung disease in early childhood (73).

To analyze the relationship of abnormalities detected by the two methods, MBW and MRI were compared (56). MBW and MRI showed a good correlation in clinically stable patients with CF spanning the entire pediatric age range (74). Both LCI2.5 and MRI scores allowed a differentiation between children with CF with mild and those with more advanced lung disease (60, 74). Both outcome measures were able to detect improvement after antibiotic therapy of a PEx underlining their complementary benefits. The TRACK-CF study also served for follow-up visits of the randomized, double-blind, controlled study on the preventive inhalation of hypertonic saline in infants with CF (PRESIS), which demonstrated a reduction of the LCI2.5 but no difference in MRI morphology scores and frequency of PEx (75). The TRACK-CF study was furthermore the first study to capture a positive impact of NBS on morpho-functional changes in the lung during the first years of life. Despite effective strategies to decelerate clinical disease development and widely achieved clinical stability in early childhood, examinations by chest MRI demonstrated progression of morpho-functional alterations in children with CF (73). Previously, applicable and sensitive methods in young children without the need of active cooperation and breathing maneuvers as well as radiation-free imaging modalities had not been available and validated. The TRACK-CF cohort has already made important contributions to the advancement and validation of MBW as a measure for lung ventilation homogeneity and MRI as method to assess lung morphology and perfusion and has highlighted their complementary benefit (74).

Various studies have demonstrated the persistent progression of early CF lung disease despite clinical stability in childhood (13, 28, 73, 76). The overall good phenotype-genotype correlation on a cohort-level does not sufficiently account for the known phenotypic variability on an individual level, which consequently necessitates the search for CFTR modifier genes, non-genetic and environmental risk factors (41). Pulmonary exacerbations, bacterial infection with proinflammatory pathogens and respiratory symptoms such as cough have proven aggravating effects on the pulmonary outcome (51, 73). Similarly, environmental factors such as air pollution and secondhand smoke have been described as risk factors for worsening of disease (77, 78). In the face of widely used NBS programs and carrier testing, negative effects of these risk factors on the incidence and prevalence of CF are challenging to quantify (79). The TRACK-CF cohort comprehensively documents such risk factors and their association with pulmonary morpho-functional alterations and blood biomarkers based on DNA, RNA and proteins and metabolites, providing a comprehensive basis for the assessment and quantification of adverse and beneficial effects of individual parameters. Vice versa, the TRACK-CF cohort including children after different modes of diagnosis in a concurrent setting permits quantification of the effects of NBS, which were previously reported with historic controls only (14, 80, 81). NBS has however led to an increased number of CFTR variants of unknown clinical significance which highlights the use of predictive biomarkers for adequate follow-up. Biomarkers of disease severity, progression and response to therapy hold promise to optimize patient care including individualized therapeutic approaches (15, 82). Moreover, the emergence of highly-effective targeted therapies such as CFTR modulators has changed the prospects of patients with CF (83). Highly-effective targeted therapies are increasingly used in children and the comprehensive TRACK-CF study offers decisive information on their impact on early CF lung disease.

The search for modifier genes and the gene expression by blood transcriptomic analysis can be combined with the recorded clinical, microbiological and morphofunctional data of participating children. The multi-omics approach aims to close the gap between genotype and phenotypic presentation since both, genetic and non-genetic factors, influence the onset, course and severity of CF lung disease. Individual analysis of blood transcriptomic, proteomic and metabolomic signatures have shown promising results to detect treatment response and association with pulmonary pathologies in CT in older children and adults with CF (84, 85). The complex interplay between mucus, inflammation and infection precedes functional and structural lung damage and will be addressed by the longitudinal evaluation. TRACK-CF may substantially contribute to the identification of relevant pathways linking impaired mucociliary clearance with inflammatory processes and host-microbiota interaction (86, 87). Furthermore, associations between known risk factors such as PEx with ventilation inhomogeneities and CF-typical changes such as bronchial wall thickening and mucus plugging detected by MBW and MRI will be assessed (88). As MRI provides detailed information on the characteristic abnormality and localization in the CF lung, it can be leveraged for system medicine approaches. Finally, understanding underlying molecular mechanisms and identifying relevant molecules facilitates the development of novel therapeutics to improve and advance CF care.

In summary, the comprehensive data collection, the innovative and novel examination approaches including MBW and MRI and the unique composition of participants in the TRACK-CF cohort offers information on risk and protective factors for the development and course of early CF lung disease. It offers relevant non-invasive study endpoints and provides valuable insights into the disease onset and progression. TRACK-CF has the potential to answer urgent questions regarding the development, risk and protective factors, biomarkers and novel therapeutic approaches for the progression and prediction of early CF lung disease.

Ethics statement

The studies involving human participants were reviewed and approved by the Ethics Committees of the University of Heidelberg (approval S-211/2011) and each participating site and is registered at clinicaltrials.gov (NCT02270476). Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.

Author contributions

ES: conceptualization, formal analysis, investigation, and writing—original draft. OS: conceptualization, formal analysis, investigation, and writing. SG: conceptualization, investigation, and writing—review and editing. CJ, CL, GN, IRi, and IRu: investigation and writing—review and editing. MK: investigation, writing—review and editing, and funding acquisition. A-MD: data acquisition and review and editing. MM: conceptualization, writing—review and editing, supervision, and funding acquisition. MS: conceptualization, investigation, writing—review and editing, supervision, and funding acquisition. All authors contributed to the article and approved the submitted version.

Funding

This study was supported in part by grants from the German Federal Ministry of Education and Research (82DZL002A1 to AMD, 82DZL00401, 82DZL004A1, and 82DZL009B1 to MM), the German Cystic Fibrosis Association Mukoviszidose e.V. (grant 15/01 to MS). ES, SG, and MS were supported by the BIH Charité (Junior/Advanced) Clinician Scientist Program. GN and IRi were supported by the Clinician Scientist Program of the University of Luebeck.

Conflict of interest

OS reports grants by the German Center for Lung Research (DZL) and Vertex Pharmaceuticals with payments to the institution. SG reports grants by the Mukoviszidose e.V., Vertex Pharmaceuticals and the German Research Foundation (DFG) with payments to the institution and received personal fees from Chiesi GmbH and Vertex Pharmaceuticals. MK reports grants by the German Center for Lung Research (DZL) and received personal fees from Sanofi Aventis GmbH, Chiesi GmbH, Allergopharma GmbH, Infectopharm GmbH, Vertex Pharma GmbH, Leti GmbH and Nutricia GmbH. A-MD reports grants by the German Center for Lung Research (DZL) and Vertex Pharmaceuticals with payments to the institution and received personal fees from Vertex Pharmaceuticals. MS reports grants by the Mukoviszidose e.V., the German Center for Lung Research (DZL), the Christiane Herzog Foundation and Vertex Pharmaceuticals.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Elborn JS. Cystic fibrosis. Lancet (London, England). (2016) 388:2519–31. doi: 10.1016/S0140-6736(16)00576-6

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Mall MA, Mayer-Hamblett N, Rowe SM. Cystic fibrosis: emergence of highly effective targeted therapeutics and potential clinical implications. Am J Respir Crit Care Med. (2020) 201:1193–208. doi: 10.1164/rccm.201910-1943SO

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Esther CR Jr., Muhlebach MS, Ehre C, Hill DB, Wolfgang MC, Kesimer M, et al. Mucus accumulation in the lungs precedes structural changes and infection in children with cystic fibrosis. Sci Trans Med. (2019) 114:3488. doi: 10.1126/scitranslmed.aav3488

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Margaroli C, Garratt LW, Horati H, Dittrich AS, Rosenow T, Montgomery ST, et al. Elastase exocytosis by airway neutrophils is associated with early lung damage in children with cystic fibrosis. Am J Respir Crit Care Med. (2019) 199:873–81. doi: 10.1164/rccm.201803-0442OC

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Balázs A, Mall MA. Mucus obstruction and inflammation in early cystic fibrosis lung disease: emerging role of the IL-1 signaling pathway. Pediatr Pulmonol. (2019) 54(Suppl. 3):S5–s12. doi: 10.1002/ppul.24462

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Muhlebach MS, Zorn BT, Esther CR, Hatch JE, Murray CP, Turkovic L, et al. Initial acquisition and succession of the cystic fibrosis lung microbiome is associated with disease progression in infants and preschool children. PLoS Pathog. (2018) 14:e1006798. doi: 10.1371/journal.ppat.1006798

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Montgomery ST, Dittrich AS, Garratt LW, Turkovic L, Frey DL, Stick SM, et al. Interleukin-1 is associated with inflammation and structural lung disease in young children with cystic fibrosis. J Cyst Fibros. (2018) 17:715–22. doi: 10.1016/j.jcf.2018.05.006

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Pust MM, Wiehlmann L, Davenport C, Rudolf I, Dittrich AM, Tümmler B. The human respiratory tract microbial community structures in healthy and cystic fibrosis infants. NPJ Biofilms Microbiomes. (2020) 6:61. doi: 10.1038/s41522-020-00171-7

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Stick SM, Brennan S, Murray C, Douglas T, von Ungern-Sternberg BS, Garratt LW, et al. Bronchiectasis in infants and preschool children diagnosed with cystic fibrosis after newborn screening. J Pediatr. (2009) 155:623–8.e1. doi: 10.1016/j.jpeds.2009.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Sly PD, Brennan S, Gangell C, de Klerk N, Murray C, Mott L, et al. Lung disease at diagnosis in infants with cystic fibrosis detected by newborn screening. Am J Respir Crit Care Med. (2009) 180:146–52. doi: 10.1164/rccm.200901-0069OC

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Hoo AF, Thia LP, Nguyen TT, Bush A, Chudleigh J, Lum S, et al. Lung function is abnormal in 3-month-old infants with cystic fibrosis diagnosed by newborn screening. Thorax. (2012) 67:874–81. doi: 10.1136/thoraxjnl-2012-201747

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Mott LS, Park J, Murray CP, Gangell CL, de Klerk NH, Robinson PJ, et al. Progression of early structural lung disease in young children with cystic fibrosis assessed using CT. Thorax. (2012) 67:509–16. doi: 10.1136/thoraxjnl-2011-200912

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Stanojevic S, Davis SD, Retsch-Bogart G, Webster H, Davis M, Johnson RC, et al. progression of lung disease in preschool patients with cystic fibrosis. Am J Respir Crit Care Med. (2016). doi: 10.1164/rccm.201610-2158OC

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Southern KW, Mérelle MM, Dankert-Roelse JE, Nagelkerke AD. Newborn screening for cystic fibrosis. Cochr Data Syst Reviews. (2009) 2009:Cd001402. doi: 10.1002/14651858.CD001402.pub2

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Castellani C, Massie J, Sontag M, Southern KW. Newborn screening for cystic fibrosis. Lancet Resp Med. (2016) 4:653–61. doi: 10.1016/S2213-2600(16)00053-9

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Collins MS, Abbott MA, Wakefield DB, Lapin CD, Drapeau G, Hopfer SM, et al. Improved pulmonary and growth outcomes in cystic fibrosis by newborn screening. Pediatr Pulmonol. (2008) 43:648–55. doi: 10.1002/ppul.20842

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Farrell PM, Kosorok MR, Laxova A, Shen G, Koscik RE, Bruns WT, et al. Nutritional benefits of neonatal screening for cystic fibrosis. Wisconsin Cystic Fibrosis Neonatal Screening Study Group. N Eng J Med. (1997) 337:963–9. doi: 10.1056/NEJM199710023371403

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Sims EJ, Clark A, McCormick J, Mehta G, Connett G, Mehta A. Cystic fibrosis diagnosed after 2 months of age leads to worse outcomes and requires more therapy. Pediatrics. (2007) 119:19–28. doi: 10.1542/peds.2006-1498

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Lai HJ, Cheng Y, Farrell PM. The survival advantage of patients with cystic fibrosis diagnosed through neonatal screening: evidence from the United States Cystic Fibrosis Foundation registry data. J Pediatr. (2005) 147:S57–63. doi: 10.1016/j.jpeds.2005.08.014

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Martin B, Schechter MS, Jaffe A, Cooper P, Bell SC, Ranganathan S. Comparison of the US and Australian cystic fibrosis registries: the impact of newborn screening. Pediatrics. (2012) 129:e348–55. doi: 10.1542/peds.2011-0567

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Sommerburg O, Stahl M, Hammermann J, Okun JG, Kulozik A, Hoffmann G, et al. Neugeborenenscreening auf mukoviszidose in deutschland: vergleich des neuen screening-protokolls mit einem alternativprotokoll [newborn screening on cystic fibrosis in Germany: Comparison of the new screening protocol with an alternative protocol]. Klin Padiatr. (2017) 229:59–66. doi: 10.1055/s-0042-124187

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Sommerburg O, Hammermann J, Lindner M, Stahl M, Muckenthaler M, Kohlmueller D, et al. Five years of experience with biochemical cystic fibrosis newborn screening based on IRT/PAP in Germany. Pediatr Pulmonol. (2015) 50:655–64. doi: 10.1002/ppul.23190

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Bayfield KJ, Douglas TA, Rosenow T, Davies JC, Elborn SJ, Mall M, et al. Time to get serious about the detection and monitoring of early lung disease in cystic fibrosis. Thorax. (2021). doi: 10.1136/thoraxjnl-2020-216085

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Grasemann H, Ratjen F. Early lung disease in cystic fibrosis. Lancet Resp Med. (2013) 1:148–57. doi: 10.1016/S2213-2600(13)70026-2

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Gustafsson PM, De Jong PA, Tiddens HA, Lindblad A. Multiple-breath inert gas washout and spirometry versus structural lung disease in cystic fibrosis. Thorax. (2008) 63:129–34. doi: 10.1136/thx.2007.077784

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Davis SD, Ratjen F, Brumback LC, Johnson RC, Filbrun AG, Kerby GS, et al. Infant lung function tests as endpoints in the ISIS multicenter clinical trial in cystic fibrosis. J Cyst Fibros. (2016) 15:386–91. doi: 10.1016/j.jcf.2015.10.007

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Subbarao P, Stanojevic S, Brown M, Jensen R, Rosenfeld M, Davis S, et al. Lung clearance index as an outcome measure for clinical trials in young children with cystic fibrosis. A pilot study using inhaled hypertonic saline. Am J Respir Crit Care Med. (2013) 188:456–60. doi: 10.1164/rccm.201302-0219OC

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Horsley AR, Belcher J, Bayfield K, Bianco B, Cunningham S, Fullwood C, et al. Longitudinal assessment of lung clearance index to monitor disease progression in children and adults with cystic fibrosis. Thorax. (2021). doi: 10.1136/thoraxjnl-2021-216928

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Belessis Y, Dixon B, Hawkins G, Pereira J, Peat J, MacDonald R, et al. Early cystic fibrosis lung disease detected by bronchoalveolar lavage and lung clearance index. Am J Respir Crit Care Med. (2012) 185:862–73. doi: 10.1164/rccm.201109-1631OC

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Hardaker KM, Panda H, Hulme K, Wong A, Coward E, Cooper P, et al. Abnormal preschool Lung Clearance Index (LCI) reflects clinical status and predicts lower spirometry later in childhood in cystic fibrosis. J Cyst Fibros. (2019) 18:721–7. doi: 10.1016/j.jcf.2019.02.007

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Kurz JM, Ramsey KA, Rodriguez R, Spycher B, Fischer Biner R, Latzin P, et al. Association of lung clearance index with survival in individuals with cystic fibrosis. Eur Respir J. (2022) 59:2021. doi: 10.1183/13993003.00432-2021

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Rosenow T, Oudraad MC, Murray CP, Turkovic L, Kuo W, de Bruijne M, et al. PRAGMA-CF. A quantitative structural lung disease computed tomography outcome in young children with cystic fibrosis. Am J Respir Crit Care Med. (2015) 191:1158–65. doi: 10.1164/rccm.201501-0061OC

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Sly PD, Gangell CL, Chen L, Ware RS, Ranganathan S, Mott LS, et al. Risk factors for bronchiectasis in children with cystic fibrosis. N Engl J Med. (2013) 368:1963–70. doi: 10.1056/NEJMoa1301725

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Ramsey KA, Rosenow T, Turkovic L, Skoric B, Banton G, Adams AM, et al. Lung clearance index and structural lung disease on computed tomography in early cystic fibrosis. Am J Respir Crit Care Med. (2016) 193:60–7. doi: 10.1164/rccm.201507-1409OC

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Wielpütz MO, Eichinger M, Biederer J, Wege S, Stahl M, Sommerburg O, et al. Imaging of cystic fibrosis lung disease and clinical interpretation. RoFo. (2016) 188:834–45. doi: 10.1055/s-0042-104936

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Eichinger M, Optazaite DE, Kopp-Schneider A, Hintze C, Biederer J, Niemann A, et al. Morphologic and functional scoring of cystic fibrosis lung disease using MRI. Eur J Radiol. (2012) 81:1321–9. doi: 10.1016/j.ejrad.2011.02.045

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Eichinger M, Heussel CP, Kauczor HU, Tiddens H, Puderbach M. Computed tomography and magnetic resonance imaging in cystic fibrosis lung disease. JMRI. (2010) 32:1370–8. doi: 10.1002/jmri.22374

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Wielpütz MO, Mall MA. Imaging modalities in cystic fibrosis: emerging role of MRI. Curr Opin Pulm Med. (2015) 21:609–16. doi: 10.1097/MCP.0000000000000213

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Mall MA, Stahl M, Graeber SY, Sommerburg O, Kauczor HU, Wielputz MO. Early detection and sensitive monitoring of CF lung disease: prospects of improved and safer imaging. Pediatr Pulmonol. (2016) 51:S49–s60. doi: 10.1002/ppul.23537

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Wielputz MO, Mall MA, MRI. accelerating progress in functional assessment of cystic fibrosis lung disease. J Cyst Fibros. (2017) 16:165–7. doi: 10.1016/j.jcf.2016.12.010

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Stahl M, Steinke E, Mall MA. Quantification of phenotypic variability of lung disease in children with cystic fibrosis. Genes. (2021) 12:803. doi: 10.3390/genes12060803

PubMed Abstract | CrossRef Full Text | Google Scholar

42. VanDevanter DR, Kahle JS, O'Sullivan AK, Sikirica S, Hodgkins PS. Cystic fibrosis in young children: a review of disease manifestation, progression, and response to early treatment. J Cyst Fibros. (2016) 15:147–57. doi: 10.1016/j.jcf.2015.09.008

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Sommerburg O, Stahl M, Hämmerling S, Gramer G, Muckenthaler MU, Okun J, et al. Final results of the southwest German pilot study on cystic fibrosis newborn screening–evaluation of an IRT/PAP protocol with IRT-dependent safety net. J Cyst Fibros. (2022) 21:422–33. doi: 10.1016/j.jcf.2021.10.007

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Graeber SY, Vitzthum C, Mall MA. Potential of intestinal current measurement for personalized treatment of patients with cystic fibrosis. J Pers Med. (2021) 11:384. doi: 10.3390/jpm11050384

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Hirtz S, Gonska T, Seydewitz HH, Thomas J, Greiner P, Kuehr J, et al. CFTR Cl- channel function in native human colon correlates with the genotype and phenotype in cystic fibrosis. Gastroenterology. (2004) 127:1085–95. doi: 10.1053/j.gastro.2004.07.006

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Smyth AR, Bell SC, Bojcin S, Bryon M, Duff A, Flume P, et al. European cystic fibrosis society standards of care: best practice guidelines. J Cyst Fibros. (2014) 13 Suppl 1:S23–42. doi: 10.1016/j.jcf.2014.03.010

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Castellani C, Duff AJA, Bell SC, Heijerman HGM, Munck A, Ratjen F, et al. ECFS best practice guidelines: the 2018 revision. J Cyst Fibros. (2018) 17:153–78. doi: 10.1016/j.jcf.2018.02.006

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Fuchs HJ, Borowitz DS, Christiansen DH, Morris EM, Nash ML, Ramsey BW, et al. Effect of aerosolized recombinant human DNase on exacerbations of respiratory symptoms and on pulmonary function in patients with cystic fibrosis. The Pulmozyme Study Group. N Eng J Med. (1994) 331:637–42. doi: 10.1056/NEJM199409083311003

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Brandt I, Reinken L. [The growth rate of healthy children in the first 16 years: Bonn-Dortmund longitudinal developmental study]. Klin Padiatr. (1988) 200:451–6. doi: 10.1055/s-2008-1033752

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Kromeyer-Hauschild K, Wabitsch M, Kunze D, Geller F, Geiß HC, Hesse V, et al. Perzentile für den Body-mass-Index für das Kindes- und Jugendalter unter Heranziehung verschiedener deutscher Stichproben. Monatsschr Kinderheilkd. (2001) 149:807–18. doi: 10.1007/s001120170107

CrossRef Full Text | Google Scholar

51. Ramsey KA, Ranganathan S, Park J, Skoric B, Adams AM, Simpson SJ, et al. Early respiratory infection is associated with reduced spirometry in children with cystic fibrosis. Am J Respir Crit Care Med. (2014) 190:1111–6. doi: 10.1164/rccm.201407-1277OC

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Zhou-Suckow Z, Duerr J, Hagner M, Agrawal R, Mall MA. Airway mucus, inflammation and remodeling: emerging links in the pathogenesis of chronic lung diseases. Cell Tissue Res. (2017) 367:537–50. doi: 10.1007/s00441-016-2562-z

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Robinson PD, Latzin P, Verbanck S, Hall GL, Horsley A, Gappa M, et al. Consensus statement for inert gas washout measurement using multiple- and single- breath tests. Eur Respir J. (2013) 41:507–22. doi: 10.1183/09031936.00069712

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Singer F, Kieninger E, Abbas C, Yammine S, Fuchs O, Proietti E, et al. Practicability of nitrogen multiple-breath washout measurements in a pediatric cystic fibrosis outpatient setting. Pediatr Pulmonol. (2013) 48:739–46. doi: 10.1002/ppul.22651

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Wyler F, Oestreich MA, Frauchiger BS, Ramsey KA, Latzin P. Correction of sensor crosstalk error in Exhalyzer D multiple-breath washout device significantly impacts outcomes in children with cystic fibrosis. J Appl Physiol (Bethesda, Md: 1985). (2021) 131:1148–56. doi: 10.1152/japplphysiol.00338.2021

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Stahl M, Joachim C, Wielputz MO, Mall MA. Comparison of lung clearance index determined by washout of N2 and SF6 in infants and preschool children with cystic fibrosis. J Cyst Fibros. (2018). doi: 10.1016/j.jcf.2018.11.001

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Puderbach M, Eichinger M, Haeselbarth J, Ley S, Kopp-Schneider A, Tuengerthal S, et al. Assessment of morphological MRI for pulmonary changes in cystic fibrosis (CF) patients: comparison to thin-section CT and chest x-ray. Invest Radiol. (2007) 42:715–25. doi: 10.1097/RLI.0b013e318074fd81

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Lutterbey G, Wattjes MP, Doerr D, Fischer NJ, Gieseke J. Jr., Schild HH. Atelectasis in children undergoing either propofol infusion or positive pressure ventilation anesthesia for magnetic resonance imaging. Paediatr Anaesthesia. (2007) 17:121–5. doi: 10.1111/j.1460-9592.2006.02045.x

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Delgado J, Toro R, Rascovsky S, Arango A, Angel GJ, Calvo V, et al. Chloral hydrate in pediatric magnetic resonance imaging: evaluation of a 10-year sedation experience administered by radiologists. Pediatr Radiol. (2015) 45:108–14. doi: 10.1007/s00247-014-3091-0

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Wielputz MO, Puderbach M, Kopp-Schneider A, Stahl M, Fritzsching E, Sommerburg O, et al. Magnetic resonance imaging detects changes in structure and perfusion, and response to therapy in early cystic fibrosis lung disease. Am J Respir Crit Care Med. (2014) 189:956–65. doi: 10.1164/rccm.201309-1659OC

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Triphan SMF, Stahl M, Jobst BJ, Sommerburg O, Kauczor HU, Schenk JP, et al. Echo Time-Dependence of Observed Lung T(1) in Patients With Cystic Fibrosis and Correlation With Clinical Metrics. JMRI. (2020) 52:1645–54. doi: 10.1002/jmri.27271

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Wielputz MO, von Stackelberg O, Stahl M, Jobst BJ, Eichinger M, Puderbach MU, et al. Multicentre standardisation of chest MRI as radiation-free outcome measure of lung disease in young children with cystic fibrosis. J Cyst Fibros. (2018) 17:518–27. doi: 10.1016/j.jcf.2018.05.003

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Quittner AL, Buu A, Messer MA, Modi AC, Watrous M. Development and validation of the cystic fibrosis questionnaire in the United States: a health-related quality-of-life measure for cystic fibrosis. Chest. (2005) 128:2347–54. doi: 10.1378/chest.128.4.2347

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Schmidt A, Wenninger K, Niemann N, Wahn U, Staab D. Health-related quality of life in children with cystic fibrosis: validation of the German CFQ-R. Health Qual Life Outcomes. (2009) 7:97. doi: 10.1186/1477-7525-7-97

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Aurora P, Duncan JA, Lum S, Davies G, Wade A, Stocks J, et al. Early Pseudomonas aeruginosa predicts poorer pulmonary function in preschool children with cystic fibrosis. J Cyst Fibros. (2022). doi: 10.1016/j.jcf.2022.04.013

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Linnane B, Walsh AM, Walsh CJ, Crispie F, O'Sullivan O, Cotter PD, et al. The lung microbiome in young children with cystic fibrosis: a prospective cohort study. Microorganisms. (2021) 9:492. doi: 10.3390/microorganisms9030492

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Pearce MS, Salotti JA, Little MP, McHugh K, Lee C, Kim KP, et al. Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study. Lancet (London, England). (2012) 380:499–505. doi: 10.1016/S0140-6736(12)60815-0

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Stahl M, Graeber SY, Joachim C, Barth S, Ricklefs I, Diekmann G, et al. Three-center feasibility of lung clearance index in infants and preschool children with cystic fibrosis and other lung diseases. J Cyst Fibros. (2018) 17:249–55. doi: 10.1016/j.jcf.2017.08.001

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Stahl M, Joachim C, Blessing K, Hammerling S, Sommerburg O, Latzin P, et al. Multiple breath washout is feasible in the clinical setting and detects abnormal lung function in infants and young children with cystic fibrosis. Respiration. (2014) 87:357–63. doi: 10.1159/000357075

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Stahl M, Joachim C, Kirsch I, Uselmann T, Yu Y, Alfeis N, et al. Multicentre feasibility of multiple-breath washout in preschool children with cystic fibrosis and other lung diseases. ERJ Open Res. (2020) 6:2020. doi: 10.1183/23120541.00408-2020

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Sonneveld N, Stanojevic S, Amin R, Aurora P, Davies J, Elborn JS, et al. Lung clearance index in cystic fibrosis subjects treated for pulmonary exacerbations. Eur Respir J. (2015) 46:1055–64. doi: 10.1183/09031936.00211914

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Grasemann H, Ciet P, Amin R, McDonald N, Klingel M, Tiddens H, et al. Changes in magnetic resonance imaging scores and ventilation inhomogeneity in children with cystic fibrosis pulmonary exacerbations. Eur Respir J. (2017) 50:2017. doi: 10.1183/13993003.00244-2017

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Stahl M, Steinke E, Graeber SY, Joachim C, Seitz C, Kauczor HU, et al. Magnetic resonance imaging detects progression of lung disease and impact of newborn screening in preschool children with cystic fibrosis. Am J Respir Crit Care Med. (2021). doi: 10.1164/rccm.202102-0278OC

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Stahl M, Wielputz MO, Graeber SY, Joachim C, Sommerburg O, Kauczor HU, et al. Comparison of lung clearance index and magnetic resonance imaging for assessment of lung disease in children with cystic fibrosis. Am J Respir Crit Care Med. (2017) 195:349–59. doi: 10.1164/rccm.201604-0893OC

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Stahl M, Wielputz MO, Ricklefs I, Dopfer C, Barth S, Schlegtendal A, et al. Preventive Inhalation of Hypertonic Saline in Infants with Cystic Fibrosis (PRESIS). A Randomized, Double-Blind, Controlled Study. Am J Respir Crit Care Med. (2019) 199:1238–48. doi: 10.1164/rccm.201807-1203OC

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Sandvik RM, Kongstad T, Green K, Voldby C, Buchvald F, Skov M, et al. Prospective longitudinal association between repeated multiple breath washout measurements and computed tomography scores in children with cystic fibrosis. J Cyst Fibros. (2021) 20:632–40. doi: 10.1016/j.jcf.2020.09.010

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Goss CH, Newsom SA, Schildcrout JS, Sheppard L, Kaufman JD. Effect of ambient air pollution on pulmonary exacerbations and lung function in cystic fibrosis. Am J Respir Crit Care Med. (2004) 169:816–21. doi: 10.1164/rccm.200306-779OC

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Kopp BT, Sarzynski L, Khalfoun S, Hayes D Jr, Thompson R, Nicholson L, et al. Detrimental effects of secondhand smoke exposure on infants with cystic fibrosis. Pediatr Pulmonol. (2015) 50:25–34. doi: 10.1002/ppul.23016

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Bell SC, Mall MA, Gutierrez H, Macek M, Madge S, Davies JC, et al. The future of cystic fibrosis care: a global perspective. Lancet Res Med. (2020) 8:65–124. doi: 10.1016/S2213-2600(19)30337-6

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Dijk FN, McKay K, Barzi F, Gaskin KJ, Fitzgerald DA. Improved survival in cystic fibrosis patients diagnosed by newborn screening compared to a historical cohort from the same centre. Arch Dis Child. (2011) 96:1118–23. doi: 10.1136/archdischild-2011-300449

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Accurso FJ, Sontag MK, Wagener JS. Complications associated with symptomatic diagnosis in infants with cystic fibrosis. J Pediatr. (2005) 147:S37–41. doi: 10.1016/j.jpeds.2005.08.034

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Levy H, Farrell PM. New challenges in the diagnosis and management of cystic fibrosis. J Pediatr. (2015) 166:1337–41. doi: 10.1016/j.jpeds.2015.03.042

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Zemanick ET, Taylor-Cousar JL, Davies J, Gibson RL, Mall MA, McKone EF, et al. A phase 3 open-label study of ELX/TEZ/IVA in children 6 through 11 years of age with cf and at least one f508del allele. Am J Respir Crit Care Med. (2021). doi: 10.1164/rccm.202102-0509OC

PubMed Abstract | CrossRef Full Text | Google Scholar

84. DeBoer EM, Kroehl ME, Wagner BD, Accurso FJ, Harris JK, Lynch DA, et al. Proteomic profiling identifies novel circulating markers associated with bronchiectasis in cystic fibrosis. Proteomics Clin Appl. (2017) 11:147. doi: 10.1002/prca.201600147

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Dong K, Singh A, Ng RT, Sin DD, Tebbutt SJ, Ratjen F, et al. Proteomic profiling to identify blood biomarkers predictive of response to azithromycin in children and adolescents with cystic fibrosis. Chest. (2019) 156:667–73. doi: 10.1016/j.chest.2019.05.017

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Liessi N, Pedemonte N, Armirotti A, Braccia C. Proteomics and metabolomics for cystic fibrosis research. Int J Mol Sci. (2020) 21:439. doi: 10.3390/ijms21155439

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Bowler RP, Wendt CH, Fessler MB, Foster MW, Kelly RS, Lasky-Su J, et al. New strategies and challenges in lung proteomics and metabolomics. Am Thora Soc. (2017) 14:1721–43. doi: 10.1513/AnnalsATS.201710-770WS

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Vece TJ, Wambach JA, Hagood JS. Childhood rare lung disease in the 21st century: “-omics” technology advances accelerating discovery. Pediatr Pulmonol. (2020) 55:1828–37. doi: 10.1002/ppul.24809

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: cystic fibrosis, early lung disease, non-invasive monitoring, magnetic resonance imaging (MRI), multiple-breath washout (MBW), risk factors in cystic fibrosis, biomarkers in cystic fibrosis

Citation: Steinke E, Sommerburg O, Graeber SY, Joachim C, Labitzke C, Nissen G, Ricklefs I, Rudolf I, Kopp MV, Dittrich A-M, Mall MA and Stahl M (2023) TRACK-CF prospective cohort study: Understanding early cystic fibrosis lung disease. Front. Med. 9:1034290. doi: 10.3389/fmed.2022.1034290

Received: 01 September 2022; Accepted: 05 December 2022;
Published: 06 January 2023.

Edited by:

Amelia Licari, University of Pavia, Italy

Reviewed by:

Tugba Sismanlar Eyuboglu, Gazi University, Turkey
Giuseppe Fabio Parisi, University of Catania, Italy

Copyright © 2023 Steinke, Sommerburg, Graeber, Joachim, Labitzke, Nissen, Ricklefs, Rudolf, Kopp, Dittrich, Mall and Stahl. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Eva Steinke, yes ZXZhLnN0ZWlua2UmI3gwMDA0MDtjaGFyaXRlLmRl

These authors have contributed equally to this work and share first authorship

These authors have contributed equally to this work and share senior authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.