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Bronchiectasis in renal transplant patients: a cross-sectional study

Abstract

Background

Bronchiectasis is a chronic airway disease characterized by permanent and irreversible abnormal dilatation of bronchi. Several studies have reported the development of bronchiectasis after renal transplantation (RT), but no prospective study specifically assessed bronchiectasis in this population. This study aimed to compare features of patients with bronchiectasis associated with RT to those with idiopathic bronchiectasis.

Methods

Nineteen patients with bronchiectasis associated with RT (RT-B group) and 23 patients with idiopathic bronchiectasis (IB group) were prospectively included in this monocentric cross-sectional study. All patients underwent clinical, functional, laboratory, and CT scan assessments. Sputum was collected from 25 patients (n = 11 with RT-B and n = 14 with IB) and airway microbiota was analyzed using an extended microbiological culture.

Results

Dyspnea (≥ 2 on mMRC scale), number of exacerbations, pulmonary function tests, total bronchiectasis score, severity and prognosis scores (FACED and E-FACED), and quality of life scores (SGRQ and MOS SF-36) were similar in the RT-B and IB groups. By contrast, chronic cough was less frequent in the RT-B group than in the IB group (68% vs. 96%, p = 0.03). The prevalence and diversity of the airway microbiota in sputum were similar in the two groups.

Conclusion

Clinical, functional, thoracic CT scan, and microbiological characteristics of bronchiectasis are overall similar in patients with IB and RT-B. These results highlight that in RT patients, chronic respiratory symptoms and/or airway infections should lead to consider the diagnosis of bronchiectasis. Further studies are required to better characterize the pathophysiology of RT-B including airway microbiota, its incidence, and impact on therapeutic management.

Background

Non-cystic fibrosis (non-CF) bronchiectasis is a chronic airway disease characterized by permanent and irreversible abnormal dilatation of bronchi [1]. The main causes of bronchiectasis are post-infectious, immunodeficiency, chronic obstructive pulmonary disease, connective tissue disease, ciliary dysfunction, and allergic bronchopulmonary aspergillosis. However, despite extensive etiologic investigations, bronchiectasis remains considered idiopathic in 45% of the cases [2, 3]. The most common symptoms of bronchiectasis are cough, sputum, dyspnea, and fatigue [4] which are associated with impaired quality of life [5,6,7] and frequent exacerbation [8]. The airways of non-CF bronchiectasis are predisposed to microbial colonization and increased risk of chronic infection [9]. At a stable state, the most common bacteria are Haemophilus influenzae and Pseudomonas aeruginosa [10,11,12].

Several studies have previously reported the development of bronchiectasis after renal transplantation (RT) in children and adults [13,14,15,16]. Recently, we conducted a multicenter retrospective study describing the clinical, functional, radiological and microbiological characteristics of 46 patients with bronchiectasis revealed after RT [17]. This study identified frequent symptoms of chronic cough and sputum, frequent airway infections with H. influenzae, and a mean time of 11 years between RT and the diagnosis of bronchiectasis. The pathophysiology of bronchiectasis associated with RT is not yet elucidated. It may involve hypogammaglobulinemia induced by immunosuppressive drugs, a potential direct effect of mycophenolic acid, and/or predisposing factors associated with the underlying renal disease especially autosomal dominant polycystic kidney disease (ADPKD) [17]. Although RT is the most common form of solid organ transplantation, no prospective study specifically assessed bronchiectasis in this population. Moreover, no study compared the clinical features of bronchiectasis associated with RT (RT-B) to idiopathic bronchiectasis (IB) in terms of respiratory symptoms, pulmonary function, quality of life, and airway microbiota.

This study aimed to compare the clinical features of RT-B patients to those with IB. In addition, we compared the viable airway microbiota at a stable state between RT-B and IB patients.

Methods

Study population

This prospective cross-sectional monocenter study was conducted in the Department of Respiratory Diseases at Reims University Hospital (France) from November 2016 to December 2019. Patients were included in the cohort for research and innovation in inflammatory respiratory diseases (Recherche et INNOvation en PAthologie Respiratoire Inflammatoire: RINNOPARI). This study was approved by the ethics committee (Comité de Protection des Personnes—Dijon EST I, No. 2016-A00242-49) and registered in clinicaltrials.gov (NCT02924818). The authorization to access patient data was obtained from the French Advisory Committee for Data Processing in Health Research (CCTIRS, Comité Consultatif sur le Traitement de l’Information en matière de Recherche dans le domaine de la Santé) (no. 13.018) and approved by the national commission for the personal data protection (CNIL, Comité National de l’Informatique et des Libertés) (no. 913412). Data were fully anonymized. Each patient signed written informed consent.

Patients were consecutively included if they were at least 18 years old and matched to one of the two groups: (1) patients with RT and bronchiectasis (RT-B group) or (2) patients without RT and with bronchiectasis considered as idiopathic (IB group). Causative diseases of bronchiectasis including cystic fibrosis, common variable immunodeficiency, allergic bronchopulmonary aspergillosis, asthma, alpha-1-antitrypsin deficiency, chronic obstructive pulmonary disease, rheumatoid arthritis, inflammatory bowel disease, or mycobacterial lung infection sequelae were considered as exclusion criteria [1, 18]. Patients were also excluded if the respiratory disease was not at a stable state defined by the absence of airway infection requiring antibiotics in the last month.

Data collection

Demographic, clinical, functional (pulmonary function tests, 6-min walking test, arterial blood gas), laboratory, and microbiological data and thoracic computed tomography (CT)-scan results were recorded in a standardized format. Symptoms and quality of life scores were evaluated using four scales: the Cough And Sputum Assessment Questionnaire (CASA-Q) [19], the Hospital Anxiety and Depression Scale (HAD) [20, 21], the St George’s Respiratory Questionnaire (SGRQ) [22, 23], and the Medical Outcome Study Short Form 36 health survey (MOS SF-36) [24, 25].

Measurement of full blood count, serum creatinine, level of total immunoglobulins (Ig), and dosage of immunosuppressive drugs for RT-B group were performed.

According to the international consensus, an exacerbation was defined by an impairment of at least 3 or more baseline symptoms (cough, sputum volume or purulence, breathlessness, fatigue, malaise, hemoptysis) for at least 48 h and requiring a change in treatment [26].

The severity and prognosis of bronchiectasis were evaluated according to two multidimensional grading systems: the FACED [27] and the E-FACED score [28].

CT scans

Each CT scan was reviewed by two pulmonologists (SD, GD) with a final consensus interpretation. All CT scans were performed with the patient in the supine position at end-inspiratory volume using multidetector CT scanners. One- to 5-mm-thick slices at 5- to 10-mm intervals were analyzed from the lung apices to the lung bases. The diagnosis of bronchiectasis was defined according to the Fleischner Society as dilated bronchial lumen relative to the adjacent pulmonary artery, absence of bronchial tapering, and visualization of bronchi within 1 cm of the pleural surface [29]. The extent of bronchiectasis, the thickness of the bronchial wall, and small airways abnormalities were quantified for each lobe (lingula was considered as a separated lobe) according to the Ooi score [30].

Microbiology

Sputum samples were collected after patients rinsed their mouths out with sterile water. If spontaneous sputum was not possible, induced sputum was systematically performed according to international recommendations [31, 32].

Extended culture analysis was performed on the sputum. After liquefaction by N-acetylcysteine, serial dilutions (1/1000, 1/10,000, and 1/100,000) were made and cultured in Columbia blood agar, chocolate agar, Schaedler agar, and Pseudomonas selective cetrimide agar (Thermo Fisher Scientific, USA), at 37 °C for 48 h for aerobic and 5% CO2 cultures and 5 days for anaerobic cultures. All colonies that appeared to be morphologically distinct were quantified as colony-forming unit (CFU) per milliliter and identified by matrix-associated laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry (MALDI Biotyper®, Bruker Daltonics, Bremen, Germany). The α-diversity of the airway microbiota was evaluated with the Shannon index (a marker of intra-individual diversity).

Chronic P. aeruginosa infection was defined by the isolation of P. aeruginosa in two or more cultures, at least 3 months apart in a consecutive period of 12 months at a stable state [33].

Statistical analysis

Statistical analysis was performed using SPSS software (version 26). Data are expressed as mean (standard deviation) or median (25th or 75th percentiles) depending on data distribution for quantitative variables and as numbers (%) for qualitative variables. Comparisons were performed using Chi2 or fisher’s exact test for qualitative variables and Student’s t-test for quantitative variables. A p value < 0.05 was considered significant.

Results

Patients characteristics

Clinical characteristics of the 42 patients anlayzed are shown in Table 1. Among 44 patients included, two patients were excluded from the IB group because of underlying causes (rheumatoid arthritis n = 1, alpha-1 antitrypsin deficiency n = 1). Data were analyzed for 19 patients in the RT-B group and 23 patients in the IB group. RT-B and IB groups were similar in terms of age, sex ratio, body mass index (BMI), and smoking history. Dyspnea (≥ 2 on modified Medical Research Council scale (mMRC)), hemoptysis, and number of exacerbations were similar in the RT-B and IB groups. By contrast, the chronic cough was more frequent in the IB group when compared with the RT-B group. The median interval between first RT and first respiratory symptoms and between first RT and diagnosis of bronchiectasis was 11 (1–20) and 12 (2–18) years, respectively. Most RT-B patients (79%) had undergone only one renal transplantation.

Table 1 Clinical characteristics

Functional characteristics and radiological data are shown in Table 2. There was no difference between the RT-B and IB groups regarding pulmonary function tests, 6-min walking test and arterial blood gas. The total bronchiectasis score was similar in the RT-B and IB groups except for the middle lobe exhibiting a higher bronchiectasis score in the IB group than in the RT-B group [4 (1–4) vs. 2 (1–3); p = 0.038].

Table 2 Functional characteristics and CT scan data

Symptoms or prognostic scores and quality of life scales are shown in Table 3. The severity scores (FACED and E-FACED) were similar in the RT-B and IB groups. Regarding the quality of life, the SGRQ total score was similar between the RT-B group and the IB group. There was no significant difference between the RT-B and IB groups in domains of the MOS SF-36 questionnaire. By contrast, cough on the CASA-Q score was more impaired in the IB group compared with the RT-B group.

Table 3 Symptoms scores and quality of life scales

Laboratory data

The frequency of lymphopenia and hypogammaglobulinemia was not different in the RT-B group compared to the IB group. Dosage of immunosuppressive drugs was within the therapeutic targets in all patients in the RT-B group. As expected, estimated glomerular filtration rate was more impaired in the RT-B group than in the IB group. IgG4 level was lower in the RT-B group compared to the IB group [0.2 (0.0–0.4) vs. 0.7 (0.2–1.1), p = 0.032] (Additional file 1: Table S1).

Microbiological data

We determined the viable airway microbiota of 25 sputa (11 for RT-B patients and 14 for IB patients). In the RT-B group, we obtained 34 different species with a mean of 6.9 species per sample. In the IB group, we obtained 33 different species with a mean of 7.1 species per sample (Fig. 1A). Assessment of α-diversity revealed no significant differences between the 2 groups (Fig. 1B). A small and non-significant increase of firmicutes and depletion of proteobacteria were observed in the RT-B group (respectively, p = 0.23 and p = 0.15) (Fig. 1C). The different genera found showed a similar repartition in the two groups, with a predominance of the Streptococcus, Neisseria, and Rothia (Fig. 1D).

Fig. 1
figure 1

Bacterial diversity of airway microbiota in RT-B and IB patients. A Number of bacteria per sample. B Alpha diversity (Shannon index). Relative abundance on the phyla level (C) and genus level (D)

We next compared the prevalence of the different species of the microbiota in both RT-B and IB groups (Fig. 2). Two Streptococci, S. oralis/mitis/pneumoniae and S. salivarius, were the most common bacteria, being found in more than 60% of the patients. Although not statistically significant, Lactobacillus rhamnosus was more common in RT-B patients than in IB patients (27% in the RT group vs. 0% in the IB group, p = 0.072). We also found some pathogenic bacteria at a stable state in this cohort including P. aeruginosa, H. influenzae, and S. aureus (Additional file 1: Table S2).We observed a trend with less P. aeruginosa in the RT-B group than in the IB group (18.2 vs 42.9%, p = 0.19), and all patients exhibiting L. rhamnosus in the RT-B group did not co-carry P. aeruginosa.

Fig. 2
figure 2

Prevalence of the main bacteria in airway microbiota in RT-B and IB patient sputa. Isolates with less than 10% frequency are not listed. IB patients with idiopathic bronchiectasis, RT-B patients with renal transplantation and bronchiectasis

Bacterial quantifications ranged from 1 × 102 to 1 × 109, with a median at 1 × 105 and no difference between the two groups of patients. The quantification of the three pathogens P. aeruginosa, H. influenzae, and S. aureus were all higher than this global median, from 1 × 106 to 1 × 108.

Discussion

This prospective cross-sectional study allowed us to characterize the features of patients with bronchiectasis associated with RT and to compare these features to patients with IB. This study demonstrates that RT-B patients share many clinical features with IB patients including chronic respiratory symptoms, exacerbations, and impaired quality of life. At a stable state, the microbiota of IB and RT-B groups are nearly similar in terms of richness, diversity, and prevalence of different phyla and genera, except for a higher prevalence of L. rhamnosus in RT-B patients.

Chronic cough was frequent in RT-B patients (68%) but lower than in IB patients. By contrast, patients with RT-B had similar symptoms of dyspnea and rate of exacerbation per year. Interestingly, the incidence and number of exacerbations in the past year were similar in the RT-B group (63% of patients, median of 1.0 exacerbation per patient) and the IB group (83% of patients, median of 1.0 exacerbation per patient). In a prospective cohort including 608 patients with non-CF bronchiectasis, only 21% of patients had at least one exacerbation in the past year [34], suggesting that our IB group might be more severe due to a selection bias of IB patients followed up in a tertiary university hospital. In both groups, the pulmonary functional impact was limited with mild impairment of forced expiratory volume in 1 s (FEV1), consistent with another prospective study including patients with IB showing a mean FEV1 of 78% [35]. In our study, the diffusion capacity of carbon monoxide (DLCO) was impaired in 68% (RT-B) and 61% (IB) of the patients, with a mean DLCO between 59 and 64%, respectively. Comparison with literature is limited by few data available regarding DLCO in bronchiectasis. In a study assessing DLCO in non-CF bronchiectasis, 56% of patients had a reduction in DLCO [36]. King et al. reported a mean DLCO value of 88 ± 21%, with a rate of 23% of current or former smokers [37]. The lower DLCO value in our study may be related to a higher rate of current or former smokers in both groups (63% in the RT-B group, 39% in the IB group). Interestingly, the mean DLCO value in RT patients without bronchiectasis was normal in previous studies ranging from 83% [38] to 84% [39]. Regarding CT scan, the bronchiectasis score was similar between the IB and RT-B groups (15 and 20, respectively) assessed by the Ooi et al. score [40].

In our study, FACED and E-FACED scores were similar in RT-B and IB groups, suggesting a similar severity and prognosis despite immunosuppression in the RT group. Of note, there was a trend of lymphopenia in the RT-B group compared to the IB group. The most common causes of mortality in RT patients are cardiovascular disease, followed by cancer and infections (mainly urinary tract and lung infections) [41, 42]. In RT patients, the incidence of pulmonary infection was 8.8% [43]. However, no information regarding thoracic CT scan characteristics including the presence of bronchiectasis was available in these studies. The quality of life in RT patients is associated with general health assessment, physical functioning, pain, sleep quality, occupational status, vitality, social activity, staff support, and quality of care [44]. Mean values of MOS SF-36 global physical and mental scores in RT-B patients seemed more impaired than previously reported in RT patients [45]. However, quality of life was overall similar between RT-B and IB in our study.

Few microbiological data on RT-B patients are available and are limited to case reports [14, 15] and one retrospective study [17]. In this study, we described for the first time the airway viable microbiota of patients with RT-B at a clinically stable state using an extended-quantitative bacterial culture of sputum samples with detection and identification of isolated bacteria. We found that the microbiota was globally similar between RT-B and IB groups. We described the same richness, diversity, and prevalence of the different phyla and genera, with a predominance of the Streptococci, Neisseria, Rothia, and Veillonella, as usually described in the airway microbiota in bronchiectasis [9, 45, 46]. Some pathogenic bacteria were detected as part of the microbiota such as P. aeruginosa, H. influenzae, and S. aureus, as reported in other studies from non-CF bronchiectasis patients in Europe [34, 46,47,48].

The prevalence of all the different bacteria was similar in the 2 groups. Although not statistically significant, probably due to the low number of samples, we found that L. rhamnosus was more common in RT-B patients compared to IB patients (27% vs. 0%) and that P. aeruginosa was less common in the RT-B group than in the IB group (18% vs. 43%). We also noticed that the patients with L. rhamnosus did not co-carry P. aeruginosa. This inverse correlation may suggest a protective effect of L. rhamnosus, a known probiotic agent, on the carriage of P. aeruginosa in airway microbiota. Indeed, there is a growing interest in the potential use of Lactobacilli probiotics, notably L. rhamnosus, as clinical studies showed the prevention of pneumonia after oral or respiratory administration [49,50,51,52]. Many studies also described the abilities of Lactobacilli to specifically protect against P. aeruginosa infections in murine models of pneumonia [53,54,55]. Further studies, with an increased number of patients, are needed to confirm this potential protective effect of Lactobacilli in bronchiectasis.

There are several limitations to our study. First, it was a monocenter study with a small sample size with a potential selection of more severe IB patients. Second, the small number of patients did not allow us to investigate the potential role of ADPKD as a risk factor of bronchiectasis as previously suggested [56, 57]. However, in our study, the main underlying renal disease in RT-B patients was also ADPKD (n = 6, 32%). Third, this study was conducted at a stable state. Some patients were therefore not able to produce sputum and were not included in the microbiological analyzes. Fourth, we did not use the Bronchiectasis Health Questionnaire, which has been developed and validated specifically for patients with bronchiectasis, but was not available when our study started [58]. Finally, the cross-sectional design does not provide information regarding the evolution of the clinical, functional, CT scan, and microbiological features of RT-B over time which would require longitudinal studies with long-term follow-up.

Conclusion

This cross-sectional study showed that RT-B patients share many clinical features with IB patients including chronic respiratory symptoms, exacerbations, pulmonary function, and quality of life impairment. At a stable state, the microbiota of IB and RT-B groups are nearly similar in terms of richness, diversity, and prevalence of different phyla and genera. These results highlight that bronchiectasis should be considered in RT patients exhibiting chronic respiratory symptoms and/or exacerbation. We hope these results will stimulate to conduct further larger longitudinal studies to better characterize the mechanisms of RT-B including monitoring of airway microbiota in RT, its incidence, and potential impact on therapeutic management.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ADPKD:

Autosomal dominant polycystic kidney disease

BMI:

Body mass index

CASA-Q:

Cough and Sputum Assessment Questionnaire

CF:

Cystic fibrosis

CFU:

Colony-forming unit

CT:

Computed tomography

DLCO:

Diffusing capacity of the lungs for carbon monoxide

FEV1 :

Forced expiratory volume in 1 s

FVC:

Forced vital capacity

HAD:

Hospital Anxiety and Depression Scale

IB:

Idiopathic bronchiectasis

Ig:

Immunoglobulin

MALDI-TOF:

Matrix-associated laser desorption ionization-time of flight

mMRC:

Modified Medical Research Council

RT:

Renal transplantation

RT-B:

Renal transplantation and bronchiectasis.

MOS SF-36:

Medical Outcome Study Short Form 36 health survey

PaO2 :

Partial pressure of oxygen

SGRQ:

St George’s Respiratory Questionnaire

SpO2 :

Pulse oxygen saturation

TLC:

Total lung volume

References

  1. Polverino E, Pieter C, McDonell MJ, Aliberti S, Marshall SE, Loebinger MR, Murris M, Canton R, Torres A, Dimakou K, De Soriza A, Hill AT, Hawortj CS, Vendrell M, Ringshausen FC, Subotic D, Wilson R. European Respiratory Society guidelines for the management of adult bronchiectasis. Eur Respir J. 2017;50(3):1700629.

    Article  PubMed  Google Scholar 

  2. Gao YH, Guan WJ, Liu SX, Wang L, Cui JJ, Chen RC, Zhang GJ. Aetiology of bronchiectasis in adults: a systematic literature review. Respirology. 2016;21(8):1376–83.

    Article  PubMed  Google Scholar 

  3. Flume PA, Chalmers JD, Olivier KN. Advances in bronchiectasis: endotyping, genetics, microbiome and disease heterogeneity. Lancet. 2018;392(10150):880–90.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Saadi Imam J, Duarte AG. Non-CF bronchiectasis: orphan disease no longer. Respir Med. 2020;166: 105940.

    Article  Google Scholar 

  5. Martinez-Garcia MA, Perpina-Tordera M, Roman-Sanchez P, Soler-Cataluna JJ. Quality-of-life determinants in patients with clinically stable bronchiectasis. Chest. 2005;128(2):739–45.

    Article  PubMed  Google Scholar 

  6. Terpstra LC, Biesenbeek S, Altenburg J, Boersma WG. Aetiology and disease severity are among the determinants of quality of life in bronchiectasis. Clin Respir J. 2019;13(8):521–9.

    Article  PubMed  Google Scholar 

  7. Wilson CB, Jones PW, O’Leary CJ, Hansell DM, Cole PJ, Wilson R. Effect of sputum bacteriology on the quality of life of patients with bronchiectasis. Eur Respir J. 1997;10:1754–60.

    Article  CAS  PubMed  Google Scholar 

  8. Chalmers JD, Aliberti S, Filonenko A, Shteinberg M, Goemine PC, Hill AT, Fardon TC, Obradovic D, Mc Donell MJ. Characterization of the “frequent exacerbator phenotype” in bronchiectasis. Am J Respir Crit Care Med. 2018;197(11):1410–20.

    Article  PubMed  Google Scholar 

  9. Richardson H, Dicker AJ, Barclay H, Chalmers JD. The microbiome in bronchiectasis. Eur Respir Rev. 2019;28(153): 190048.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Aksamit TR, O’Donnell AE, Barker A, Olivier KN, Winthrop KL, Daniels MLA, Johnson M, Eden E, Griffith D, Knowles M, Metersky M, Salathe M, Thomashow B, Tino G, Turino G, Carretta B, Daley CL. Adult patients with bronchiectasis: a first look at the US bronchiectasis research registry. Chest. 2017;151(5):982–92.

    Article  PubMed  Google Scholar 

  11. Amati F, Simonetta E, Gramegna A, Tarsia P, Contarini M, Blasi F, Aliberti S. The biology of pulmonary exacerbations in bronchiectasis. Eur Respir Rev. 2019;28(154): 190055.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Chalmers JD, Chang AB, Chotirmall SH, Dhar R, McShane PJ. Bonchiectasis. Nat Rev Dis Prim. 2018;4(1):45.

    Article  PubMed  Google Scholar 

  13. Pijnenburg MWH, Cransberg K, Wolff E, Bouquet J, Merkus PJFM. Bronchiectasis in children after renal or liver transplantation: a report of five cases. Pediatr Transplant. 2004;8(1):71–4.

    Article  PubMed  Google Scholar 

  14. Boddana P, Webb LH, Unsworth J, Brealey M, Bingham C, Harper SJ. Hypogammaglobulinemia and bronchiectasis in mycophenolate mofetil-treated renal transplant recipients: an emerging clinical phenomenon? Clin Transplant. 2011;25(3):417–9.

    Article  CAS  PubMed  Google Scholar 

  15. Rook M, Postma DS, van der Jagt EJ, van Minnen CA, van der Heide JJH, Ploeg RJ, et al. Mycophenolate mofetil and bronchiectasis in kidney transplant patients: a possible relationship. Transplantation. 2006;81(2):287–9.

    Article  PubMed  Google Scholar 

  16. Cransberg K, Marlies Cornelissen EA, Davin JC, Van Hoeck KJ, Lilien MR, Stijnen T, Nauta J. Improved outcome of pediatric kidney transplantations in the Netherlands—effect of the introduction of mycophenolate mofetil? Pediatr Transplant. 2005;9(1):104–11.

    Article  PubMed  Google Scholar 

  17. Dury S, Colosio C, Etienne I, Anglicheau D, Merieau E, Caillard S, et al. Bronchiectasis diagnosed after renal transplantation: a retrospective multicenter study. BMC Pulm Med. 2015;15:141.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Hill AT, Sullivan AL, Chalmers JD, De Soyza A, Elborn SJ, Floto AR, Grillo L, Gruffydd-Jones K, Harvey A, Haworth CS, Hiscocks E, Hurst JR, Johnson C, Kelleher PW, Bedi P, Payne K, Saleh H, Screaton NJ, Smith M, Tunney M, Whitters D, Wilson R, Loebinger MR. British Thoracic Society guideline for bronchiectasis in adults. Thorax. 2019;74(Suppl 1):1–69. https://doi.org/10.1136/thoraxjnl-2018-212463.

    Article  PubMed  Google Scholar 

  19. Crawford B, Monz B, Hohlfeld J, Roche N, Rubin B, Magnussen H, Nivens C, Ghafouri M, McDonald J, Tetzlaff K. Development and validation of a cough and sputum assessment questionnaire. Respir Med. 2008;102(11):1545–55.

    Article  PubMed  Google Scholar 

  20. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–70.

    Article  CAS  PubMed  Google Scholar 

  21. Olveira C, Olveira G, Gaspar I, Dorado A, Cruz I, Soriguer F, Quittner AL, Espildora F. Depression and anxiety symptoms in bronchiectasis: associations with health-related quality of life. Qual Life Res. 2013;22:597–605.

    Article  PubMed  Google Scholar 

  22. Jones PW, Quirk FH, Baveystock CM. The St George’s respiratory questionnaire. Respir Med. 1991;85(Suppl B):25–31 (discussion 33–37).

    Article  PubMed  Google Scholar 

  23. Wilson CB, Jones PW, O’Leary CJ, Cole PJ, Wilson R. Validation of the St. George’s respiratory questionnaire in bronchiectasis. Am J Respir Crit Care Med. 1997;156(2 Pt 1):536–41.

    Article  CAS  PubMed  Google Scholar 

  24. Perneger TV, Leplège A, Etter JF, Rougemont A. Validation of a French-language version of the MOS 36-item short form health survey (SF-36) in young healthy adults. J Clin Epidemiol. 1995;48(8):1051–60.

    Article  CAS  PubMed  Google Scholar 

  25. Lee A, Button BM, Ellis S, et al. Clinical determinants of the 6-minute walk test in bronchiectasis. Respir Med. 2009;103(5):780–5.

    Article  CAS  PubMed  Google Scholar 

  26. Hill AT, Haworth CS, Aliberti S, Barker A, Blasi F, Boersma W, Chalmers JD, De Soyza A, Dimakou K, Elborn JS, Feldman C, Flume P, Goeminne PC, Loebinger MR, Menendez R, Morgan L, Murris M, Polverino E, Quittner A, Ringshausen FC, Tino G, Torres A, Vendrell M, Welte T, Wilson R, Wong C, O’Donnell A, Aksamit T, EMBARC/BRR Definitions Working Group. Pulmonary exacerbation in adults with bronchiectasis: a consensus definition for clinical research. Eur Respir J. 2017;49(6):1700051.

    Article  PubMed  Google Scholar 

  27. Martınez-Garcıa MA, De Gracia J, Vendrell Relat M, Giron RM, Maiz Carro L, De la Rosa CD, Olveira C. Multidimensional approach to non-cystic fibrosis bronchiectasis: the FACED score. Eur Respir J. 2014;43:1357–67.

    Article  PubMed  Google Scholar 

  28. Martinez-Garcia MA, Athanazio RA, Giron R, Maiz-Carro L, de la Rosa D, Olveira C, De Gracia J, Vendrell M, Prados-Sanchez C, Gramblicka G, Corso Pereira M, Lundgre FL, De Figueiredo MF, Arancibia F, Rached SZ. Predicting high risk of exacerbations in bronchiectasis: the E-FACED score. Int J Chron Obstruct Pulmon Dis. 2017;12:275–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL, Remy J. Fleischner society: glossary of terms for thoracic imaging. Radiology. 2008;246(3):697–772.

    Article  PubMed  Google Scholar 

  30. Ooi GC, Khong PL, Chan-Yeung M, Ho JCM, Chan PKS, Lee JCK, Tsang KWT. High-resolution CT quantification of bronchiectasis: clinical and functional correlation. Radiology. 2002;225(3):663–72.

    Article  PubMed  Google Scholar 

  31. Paggiaro PL, Djukanovic R, Maestrelli P, Sterk PJ. Sputum induction. Eur Respir J Suppl. 2002;37:3s–8s.

    CAS  PubMed  Google Scholar 

  32. Guiot J, Demarche S, Henket M, Paulus V, Graff S, Schleich F, Corhay JL, Louis R, Moermans C. Methodology for sputum induction and laboratory processing. J Vis Exp. 2017;130:56612.

    Google Scholar 

  33. Finch S, McDonnell MJ, Abo-Leyah H, Aliberti S, Chalmers JD. A Comprehensive analysis of the impact of Pseudomonas aeruginosa colonization on prognosis in adult bronchiectasis. Ann Am Thorac Soc. 2015;12(11):1602–11.

    PubMed  Google Scholar 

  34. Chalmers JD, Goeminne P, Aliberti S, McDonnell MJ, Lonni S, Davidson J, Poppelwell L, Salih W, Pesci A, Dupont LJ, Fardon TC, De Soyza A, Hill AT. The bronchiectasis severity index. An international derivation and validation study. Am J Respir Crit Care Med. 2014;189(5):576–85.

    Article  PubMed  PubMed Central  Google Scholar 

  35. McDonnell MJ, Anwar GA, Rutherford RM, De Soyza A, Worthy S, Corris PA, Lordan JL, Bourke S, Afolabi G, Ward C, Middleton P, Middleton D. Lack of association between KIR and HLA-C type and susceptibility to idiopathic bronchiectasis. Respir Med. 2014;108(8):1127–33.

    Article  CAS  PubMed  Google Scholar 

  36. Radovanovic D, Santus P, Blasi F, Sotgiu G, D’Arcangelo F, Simonetta E, Contarini M, Franceschi E, Goeminne PC, Chalmers JD, Aliberti S. A comprehensive approach to lung function in bronchiectasis. Respir Med. 2018;145:120–9.

    Article  PubMed  Google Scholar 

  37. King PT, Holdsworth SR, Freezer NJ, Villanueva E, Farmer MW, Guy P, Holmes PW. Lung diffusing capacity in adult bronchiectasis: a longitudinal study. Respir Care. 2010;55(12):1686–92.

    PubMed  Google Scholar 

  38. Bush A, Gabriel R. Pulmonary function in chronic renal failure: effects of dialysis and transplantation. Thorax. 1991;46(6):424–8. https://doi.org/10.1136/thx.46.6.424.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Kalender B, Erk M, Pekpak MA, Apaydin S, Ataman R, Serdengeçti K, Sariyar M, Erek E. The effect of renal transplantation on pulmonary function. Nephron. 2002;90(1):72–7.

    Article  PubMed  Google Scholar 

  40. Liu J, Zhong X, He Z, Wei L, Zheng X, Zhang J, Bai J, Zhong W, Zhong D. Effect of low-dose, long-term roxithromycin on airway inflammation and remodeling of stable noncystic fibrosis bronchiectasis. Mediat Inflamm. 2014;2014: 708608.

    Article  Google Scholar 

  41. Au E, Wong G, Chapman JR. Cancer in kidney transplant recipients. Nat Rev Nephrol. 2018;14(8):508–20. https://doi.org/10.1038/s41581-018-0022-6.

    Article  PubMed  Google Scholar 

  42. Alonso A, Oliver J. Causes of death and mortality risk factors. Nephrol Dial Transplant. 2004;19(Suppl 3):iii8–10.

    PubMed  Google Scholar 

  43. Hoyo I, Linares L, Cervera C, Almela M, Marcos MA, Sanclemente G, Cofán F, Ricart MJ, Moreno A. Epidemiology of pneumonia in kidney transplantation. Transplant Proc. 2010;42(8):2938–40.

    Article  CAS  PubMed  Google Scholar 

  44. Czyżewski Ł, Frelik P, Wyzgał J, Szarpak Ł. Evaluation of quality of life and severity of depression, anxiety, and stress in patients after kidney transplantation. Transplant Proc. 2018;50(6):1733–7.

    Article  PubMed  Google Scholar 

  45. Rogers GB, van der Gast CJ, Cuthbertson L, Thomson SK, Bruce KD, Martin ML, Serisier DJ. Clinical measures of disease in adult non-CF bronchiectasis correlate with airway microbiota composition. Thorax. 2013;68(8):731–7.

    Article  PubMed  Google Scholar 

  46. Cox MJ, Turek EM, Hennessy C, Mirza GK, James PL, Coleman M, Jones A, Wilson R, Bilton D, Cookson WO, Moffatt MF, Loebinger MR. Longitudinal assessment of sputum microbiome by sequencing of the 16S rRNA gene in non-cystic fibrosis bronchiectasis patients. PLoS ONE. 2017;12(2): e0170622.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Li L, Zhang J, Li Z, Zhang C, Bi J, Zhou J, Song Y, Shao C. Airway microbiota is associated with the severity of non-CF bronchiectasis. Clin Respir J. 2021;15(2):154–62.

    Article  CAS  PubMed  Google Scholar 

  48. Tunney MM, Einarsson GG, Wei L, Drain M, Klem ER, Cardwell C, Ennis M, Boucher RC, Wolfgang MC, Elborn JS. Lung microbiota and bacterial abundance in patients with bronchiectasis when clinically stable and during exacerbation. Am J Respir Crit Care Med. 2013;187(10):1118–26.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Morrow LE, Kollef MH, Casale TB. Probiotic prophylaxis of ventilator-associated pneumonia: a blinded, randomized, controlled trial. Am J Respir Crit Care Med. 2010;182(8):1058–64.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Weiss B, Bujanover Y, Yahav Y, Vilozni D, Fireman E, Efrati O. Probiotic supplementation affects pulmonary exacerbations in patients with cystic fibrosis: a pilot study. Pediatr Pulmonol. 2010;45(6):536–40.

    Article  PubMed  Google Scholar 

  51. Alexandre Y, Le Blay G, Boisramé-Gastrin S, Le Gall F, Héry-Arnaud G, Gouriou S, Vallet S, Le Berre R. Probiotics: a new way to fight bacterial pulmonary infections? Med Mal Infect. 2014;44(1):9–17.

    Article  CAS  PubMed  Google Scholar 

  52. Pulvirenti G, Parisi GF, Giallongo A, Papale M, Manti S, Savasta S, Licari A, Marseglia GL, Leonardi S. Lower airway microbiota. Front Pediatr. 2019;7:393.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Fangous MS, Alexandre Y, Hymery N, Gouriou S, Arzur D, Blay GL, Berre RL. Lactobacilli intra-tracheal administration protects from Pseudomonas aeruginosa pulmonary infection in mice—a proof of concept. Benef Microbes. 2019;10(8):893–900.

    Article  CAS  PubMed  Google Scholar 

  54. Khailova L, Baird CH, Rush AA, McNamee EN, Wischmeyer PE. Lactobacillus rhamnosus GG improves outcome in experimental pseudomonas aeruginosa pneumonia: potential role of regulatory T cells. Shock. 2013;40(6):496–503.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Alvarez S, Herrero C, Bru E, Perdigon G. Effect of Lactobacillus casei and yogurt administration on prevention of Pseudomonas aeruginosa infection in young mice. J Food Prot. 2001;64(11):1768–74.

    Article  CAS  PubMed  Google Scholar 

  56. Driscoll JA, Bhalla S, Liapis H, Ibricevic A, Brody SL. Autosomal dominant polycystic kidney disease is associated with an increased prevalence of radiographic bronchiectasis. Chest. 2008;133(5):1181–8.

    Article  PubMed  Google Scholar 

  57. Moua T, Zand L, Hartman RP, Hartman TE, Qin D, Peikert T, Qian Q. Radiologic and clinical bronchiectasis associated with autosomal dominant polycystic kidney disease. PLoS ONE. 2014;9(4): e93674.

    Article  PubMed  PubMed Central  ADS  Google Scholar 

  58. Spinou A, Siegert RJ, Guan WJ, Patel AS, Gosker HR, Lee KK, Elston C, Loebinger MR, Wilson R, Garrod R, Birring SS. The development and validation of the bronchiectasis health questionnaire. Eur Respir J. 2017;49(5):1601532.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors would like to thank the patients, health care providers, and clinic coordinators at the Reims CF center.

Funding

This study was supported by Reims University Hospital and Champagne Ardennes University (Hospital-University Project named RINNOPARI).

Author information

Authors and Affiliations

Authors

Contributions

PM, SD, FL, GD, AM, TG, JMP, CL, HM, JA, JH, and VD participated in research design. PM, SD, FL, GD, AM, TG, CL, AB, HM, JA, JH, and VD participated in the writing of the paper. PM, SD, FL, GD, JMP, AM, TG, and HM participated in the performance of the research. PM, SD, GD, JMP, AB, AM, TG, and HM participated in data analysis. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Pauline Mulette.

Ethics declarations

Ethics approval and consent to participate

This study was approved by the ethic committee (Comité de Protection des Personnes—Dijon EST I, No. 2016-A00242-49) and registered in clinicaltrials.gov (NCT02924818). Each patient signed a written informed consent.

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Not applicable.

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All authors declare that they have no competing interests.

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Supplementary Information

Additional file 1: Table S1.

Laboratory data.

Additional file 2: Table S2.

Prevalence and quantification of the bacteria in airway microbiota in RT-B and IB patients.

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Mulette, P., Perotin, JM., Muggeo, A. et al. Bronchiectasis in renal transplant patients: a cross-sectional study. Eur J Med Res 29, 120 (2024). https://doi.org/10.1186/s40001-024-01701-1

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