Abstract
We aimed to assess the main causes of intensive care unit (ICU) readmissions in lung transplant adults and to identify independent predictors of ICU mortality (primary end-point).
This Spanish five-centre prospective cohort study enrolled all lung transplant adults with ICU readmissions after post-transplant ICU discharge between 2012 and 2016. Patients were followed until hospital discharge or death.
153 lung transplant recipients presented 174 ICU readmissions at a median (interquartile range) of 6 (2–25) months post-transplant. Chronic lung allograft dysfunction was reported in 39 (25.5%) recipients, 13 of whom (all exitus) had restrictive allograft syndrome (RAS). Acute respiratory failure (ARF) (110 (71.9%)) was the main condition requiring ICU readmission. Graft rejection (six (5.4%) acute) caused only 12 (10.8%) readmissions whereas pneumonia (56 (36.6%)) was the main cause (50 admitted for ARF and six for shock), with Pseudomonas aeruginosa (50% multidrug resistant) being the predominant pathogen. 55 (35.9%) and 69 (45.1%) recipients died in the ICU and the hospital, respectively. Bronchiolitis obliterans syndrome (BOS) stage 2 (adjusted OR (aOR) 7.2 (95% CI 1.0–65.7)), BOS stage 3 (aOR 13.7 (95% CI 2.5–95.3)), RAS (aOR >50) and pneumonia at ICU readmission (aOR 2.5 (95% CI 1.0–7.1)) were identified in multivariate analyses as independent predictors of ICU mortality. Only eight (5.2%) patients had positive donor-specific antibodies prior to ICU readmission and this variable did not affect the model.
ARF was the main condition requiring ICU readmission in lung transplant recipients and was associated with high mortality. Pneumonia was the main cause of death and was also an independent predictor. RAS should receive palliative care rather than ICU admission.
Abstract
In lung transplant adults, pneumonia causes most ICU readmissions and independently influences risk of death, as chronic lung allograft dysfunction also does, particularly the restrictive phenotype. However, acute allograft dysfunction is far less common http://bit.ly/2Xvitv5
Introduction
Lung transplant has shown improved survival, although the median survival is only 5.8 years [1]. The number of lung transplants and related intensive care unit (ICU) readmissions has risen steadily in recent years [2, 3]. The fact that lung transplant subjects require more aggressive immunosuppression than other transplant recipients has obvious implications [4]. Interestingly, both lung infections and graft dysfunction present as acute respiratory failure (ARF) [5], and are the leading causes of death within the first year [2, 6, 7]. This means that management of ARF is a challenge: in the case of infection it requires a decrease in immunosuppression and in the case of graft dysfunction, the exact opposite (i.e. an increase). Long-term survival depends mainly on the avoidance of chronic lung allograft dysfunction (CLAD) [8], which includes different phenotypes and stages [9–11]. Moreover, additional concerns, which also affect physicians not familiar with lung transplantion, include whether CLAD should influence ICU readmission criteria, what diagnostic workup should be performed, what empirical antimicrobial, antifungal and antiviral coverage should be added, whether immunoglobulin should be administered, and whether techniques such as plasmapheresis should be implemented.
ARF and sepsis have been described as the most frequent conditions determining ICU readmissions in lung transplant recipients [12–17]. However, factors influencing ICU readmissions in this unique subgroup of immunocompromised patients after the post-operative period have been reported by only a few studies, mainly with retrospective designs and conducted at single centres (supplementary table S1). Thus, it is of paramount importance to have an updated snapshot of this emerging condition. The main objectives of this study were to assess the principal causes of ICU readmissions in adult lung transplant recipients, and to identify potential predictors of ICU (primary end-point) and hospital mortality.
Methods
Study design
A multicentre, prospective, observational study was carried out (August 2012–June 2016) at five Spanish tertiary care university hospitals with well-established lung transplant programmes. Overall, the sample represents 73.2% of lung transplants performed in Spain during the study period (supplementary table S2).
Study population
The study population comprised all consecutive adult lung transplant recipients who required ICU readmission (>7 days after ICU discharge post-transplant) during the study period (4 years). Subjects were identified at the time of ICU readmission. Criteria for ICU readmission included requirement of invasive mechanical ventilation (IMV) or noninvasive mechanical ventilation and/or invasive haemodynamic monitoring. Patients were followed until hospital discharge or death. Immunosuppressive and prophylaxis regimens are detailed in supplementary appendix S1. For patients with multiple admissions, only data from the first episode were studied.
Data collection
The data collected were age, sex, pre-transplant diagnosis, type of lung transplant (single or bilateral), time since lung transplant at ICU readmission, forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC), donor-specific antibody (DSA) status before ICU readmission, histopathological pattern and C4d immunostaining in transbronchial biopsies (TBBs), history of acute rejection and CLAD (including the different phenotypes and severity), indication for ICU readmission, Acute Physiology and Chronic Health Evaluation (APACHE) II score at 24 h after ICU readmission, Sequential Organ Failure Assessment (SOFA) score at ICU readmission, source and aetiology of infection, requirement and length of IMV, requirement of vasopressors, length of ICU/hospital stay, ICU/hospital mortality, and cause of death. Management data on the immediate perioperative period were not recorded.
Pneumonia
Pneumonia was defined as a new radiographic infiltrate, ≥104 CFU·mL−1 (for nonopportunistic pathogens) in bronchoalveolar lavage (BAL) fluid and at least two of the following conditions: fever >38.5°C, leukocyte count <4000 or >11 000 mm−3 and purulent secretions [18]. Standard empirical antibiotics consisted of meropenem plus amikacin, adjusted on antibiotic susceptibility testing. Standard diagnostic workup involved blood cultures, BAL (with TBB) for standard cultures to identify conventional bacterial pathogens, including Nocardia spp., and filamentous fungi. Multiplex PCR for 13 respiratory viruses was performed in respiratory specimens. Searches for Pneumocystis jirovecii, PCR for cytomegalovirus (CMV) and galactomannan detection were performed in BAL specimens (supplementary appendix S1).
Definitions and differential diagnosis
Indications for ICU readmission were categorised as ARF, shock, post-operative care and others. ARF was defined as arterial oxygen tension <60 mmHg or arterial oxygen saturation measured by pulse oximetry <90% on room air, or tachypnoea >30 min−1, respiratory distress, dyspnoea at rest or cyanosis. ARF differential diagnosis included pneumonia, acute cellular rejection, antibody-mediated rejection (AMR), exacerbation of CLAD, acute pulmonary oedema, intra-alveolar bleeding, atelectasis and mechanical complications. Diagnostic workup is detailed in supplementary appendix S2. Diagnoses at ICU readmission were categorised as pneumonia, acute pulmonary oedema, bronchial stenosis, acute cellular rejection, AMR and others. Acute cellular rejection was defined based on TBB, evaluated by a lung transplant pathologist and graded according to the 2007 International Society for Heart and Lung Transplantation (ISHLT) guidelines [19]. TBB was performed for early detection of allograft rejection, unless contraindicated by ARF severity, after performing BAL. Three to six biopsies were taken from the lower and middle lobe of the right lung or from the lower lobe and lingula of the left lung. AMR was defined as graft dysfunction, confirmed presence of DSAs in serum [19] and pathology compatible with AMR [20]. Sepsis and septic shock were defined based on the Sepsis 2 criteria [21]. Primary graft dysfunction and its grade were determined using the ISHLT definition [22]. Patients were classified as having CLAD if they met ISHLT criteria [23]. Antimicrobial susceptibility of isolates was tested using disc diffusion and resistant strains were checked using the gradient diffusion method. Minimum inhibitory concentrations (MICs) were classified using the European Committee on Antimicrobial Susceptibility Testing breakpoints [24]. Multidrug resistance and extensive drug resistance have been reported elsewhere [25]. Acute kidney injury was determined using the Second International Consensus of the Acute Dialysis Quality Initiative [26]. Chronic kidney disease (CKD) was defined as kidney damage or glomerular filtration rate <60 mL·min−1·1.73 m−2 for ≥3 months, irrespective of cause, estimated from calibrated serum creatinine and estimating equations such as the Modification of Diet in Renal Disease study equation or the Cockcroft–Gault formula [27].
Statistical analysis
Continuous variables were described as median (interquartile range (IQR)) and categorical variables as counts (percentages). Several pairs of clinical variables were compared using Pearson and Spearman correlations. Patients were categorised according to their status (i.e. survivors and nonsurvivors from the ICU and the hospital). Clinical variables in both groups of patients were compared using the Chi-squared test for categorical variables (or Fisher's exact test if absolute frequency was <5) and the Mann–Whitney U-test for quantitative variables. p-values were adjusted using the Benjamini–Hochberg method to deal with problems of multiple comparisons deriving from multiple tests.
To analyse the predictive factors of ICU mortality (primary end-point) and hospital mortality (secondary end-point), logistic regression models were used. The logistic regression model methodology is shown in supplementary appendix A3. Kaplan–Meier curves were developed using the log-rank test. All analyses were performed in R version 3.4.1 (www.R-project.org).
Ethics
The study was approved by the Ethics Committee of Vall d'Hebron University Hospital (Barcelona, Spain) (PR(AG)101/2012). The need for consent was waived due to the observational nature of the study.
Results
153 lung transplant recipients (68.6% male, median (IQR) age 58 (50–63) years, 53.6% bilateral lung transplant) requiring 174 ICU readmissions (15 patients with two readmissions and three patients with three readmissions) were enrolled at a median (IQR) of 6 (2–25) months after lung transplant. 33 (21.6%) patients were readmitted within the first month following lung transplant (20 due to ARF and two due to sepsis), 53 (34.7%) within 3 months, 73 (47.8%) within 6 months, 85 (55.6%) within 1 year, 113 (73.9%) within 18 months and 40 (26.1%) spanning a range of 19–192 months. The distribution and demographics of lung transplant recipients and ICU readmissions by hospital are detailed in tables 1 and 2. 95 (62.1%) and 40 (26.1%) recipients underwent intubation and vasopressor treatment within 24 h of admission, respectively. Fewer than 2% had missing data. 39 (25.5%) had CLAD. Pulmonary fibrosis and COPD were the most common pre-transplant diseases. Phrenic paresis, primary graft dysfunction and acute kidney injury were the most frequent early complications (in the immediate post-operative period); the most common late complications (after ICU discharge) were bacterial infections, followed by CLAD, history of acute rejection episodes and CKD. Moreover, 88 (57.7%) patients developed at least one ICU complication.
Demographic and lung transplant data of 153 patients readmitted to five intensive care units (ICUs) in Spain
Characteristics of 153 lung transplant patients readmitted to five intensive care units (ICUs) in Spain
79 subjects underwent TBB. DSAs (anti-HLA alloantibodies) were positive in eight (5.2%) patients before ICU readmission. Graft rejection (six (5.4%) acute) was the cause of readmission in only 12 (10.8%) recipients. Differences between each year during the study period are reported in supplementary table S3. Infection was present in 75 (49.0%) patients (table 2). At ICU readmission, 55 presented with sepsis and 40 presented with septic shock criteria. 39 instances of sepsis were secondary to respiratory tract infections, followed by six intra-abdominal (one Clostridium difficile infection), four urinary tract, four catheter-related and two of unknown site.
Pneumonia was the most common 1) diagnosis among ICU readmissions (56 out of 153 (36.6%)), 2) cause of ARF (50 out of 110 (45.5%)), 3) indication for IMV (39 out of 95 (41.1%)), and 4) cause of sepsis (39 out of 55 (67.3%)) and septic shock (28 out of 40 (70.0%)) (figure 1). Most pneumonia ICU readmissions were admitted directly from the emergency department. Only 47.3% of the patients with pneumonia survived to ICU discharge (figure 2). Among pneumonia patients, ICU survival was 71.4% in the subgroup who did not require IMV or vasopressors, 42.9% in the subgroup who required only IMV, and only 28.0% in the subgroup requiring both IMV and vasopressors (figure 2). 32 out of 71 (45.1%) single lung transplant subjects had pneumonia, compared with 24 out of 82 (29.3%) with bilateral lung transplant (p>0.05); 14 out of 32 (43.8%) single lung transplant subjects survived to ICU readmission due to pneumonia compared with 12 out of 24 (50.0%) with bilateral lung transplant (p>0.05). 46 (82.1%) organisms were isolated from 56 patients with pneumonia, including Pseudomonas aeruginosa in 23 patients (50.0%) (15 out of 23 (65.2%) had positive cultures for P. aeruginosa prior to ICU readmission), 14 (60.7%) of them multidrug resistant; most P. aeruginosa were only susceptible to amikacin and colistin, with a MIC50 breakpoint >8 mg·dL−1 to meropenem. Prior antimicrobial exposure was universal in this cohort of ICU subjects, with exposure to penicillins in 58.7% (38.5% to cephalosporins and 36.5% to carbapenems). Additionally, all patients were exposed to colistin due to selective digestive decontamination during the post-operative period. Gram-positive cocci were isolated in respiratory specimens from 10 patients (21.6%), Enterobacteriaceae from eight (17.3%), Aspergillus spp. from three (6.5%) and influenza A virus from two (4.6%). Figure 3 and supplementary figure S2 show the chronology of the aetiology of the ICU readmissions and the pattern of susceptibility of P. aeruginosa (multidrug resistant versus susceptible) due to pneumonia according to time after lung transplant, respectively. No CMV infection was identified as the cause of ICU readmission.
Study flowchart. ICU: intensive care unit; ARF: acute respiratory failure; IMV: invasive mechanical ventilation.
Flowchart of pneumonia cases. ICU: intensive care unit; IMV: invasive mechanical ventilation.
Chronology of the aetiology of the intensive care unit readmissions due to pneumonia in lung transplant recipients according to time after transplant. Data are presented as median with interquartile range (IQR) (boxes) and 1.5 IQR (whiskers); outliers are indicated.
55 (35.9%) subjects died in the ICU (with life-sustaining therapies being withdrawn from 23 (41.8%) subjects). Main mortality causes were multiorgan failure (49.1%) and hypoxaemia (45.5%), with most deaths occurring within the first month (figure 4). Among 13 recipients with RAS, ICU survival was 7.7% (none were discharged home alive) compared with 53.8% (p<0.05) in patients with BOS, in whom survival correlated inversely with severity of obstruction (table 3).
Survival of lung transplant recipients after intensive care unit (ICU) readmission. IMV: invasive mechanical ventilation. a) Survival of all patients. b) Survival of patients with a diagnosis of pneumonia versus others as causes of ICU readmissions. c) Survival of patients with or without vasopressor requirement. d) Survival of patients with or without IMV requirement. Shading indicates 95% confidence intervals.
Variables associated with intensive care unit (ICU) mortality on univariate analysis
After ICU discharge, 14 patients died while still hospitalised, with a median (IQR) post-ICU length of stay of 26 (18–169) days (12-month survival post-ICU 90.9%). Finally, overall hospital mortality was 69 (45.1%) patients. Despite the fact that patients diagnosed with ARF, sepsis or septic shock at ICU readmission (the most common ICU readmission indications) had low ICU survival (61.4% in ARF patients, 50.0% in sepsis and 38.5% in septic shock), these conditions were not associated with ICU mortality in the multivariate analysis. Interestingly, ICU survival in pneumonia patients fell to 48.0% in cases with ARF, 43.6% in cases with sepsis and 35.7% in cases with septic shock. The 12-month survival post-ICU in pneumonia subjects was 73.1% compared with 97.2% for other conditions (p<0.001). Among pneumonia patients, 23 with a causative agent died compared with seven with unknown cause (50% versus 70%; p>0.05), whereas the median ICU length of stay for survivors did not differ (data not shown). Survival in CLAD patients with ARF was 31.3%. The variables associated with ICU mortality on univariate analysis were APACHE II score >20, SOFA score >6, IMV and vasopressor requirement, pre-admission diagnosis of CLAD (obstructive/restrictive phenotypes), CKD, acute rejection episode, osteoporosis, ICU readmission >1 month after lung transplant, and pneumonia; these variables were selected for multivariate analyses (table 3). In the resulting model (table 4), adjusted for centre, IMV (adjusted OR (aOR) 8.2 (95% CI 2.6–34.7)), vasopressors (aOR 3.6 (95% CI 1.2–11.1)), pneumonia (aOR 2.5 (95% CI 1.0–7.1)), and pre-admission diagnosis of BOS stage 2, stage 3 and RAS (aOR 7.2 (95% CI 1.0–65.7), 13.7 (95% CI 2.5–95.3) and >50, respectively) were independent predictors of ICU mortality (p<0.05). The risk prediction model had good calibration and discrimination, with a goodness of fit p=0.99 and a mean area under the curve of 0.798 (95% CI 0.724–0.872) (supplementary figure S1). A Cox model using the time to ICU mortality is reported in supplementary table S4. Lastly, the resulting logistic mixed-multivariate regression model (table 4), adjusted for centre, identified IMV (aOR 12.1 (95% CI 3.6–60.3)), vasopressors (aOR 3.2 (95% CI 1.1–10.1)), pneumonia (aOR 1.9 (95% CI 0.7–5.5)) and pre-admission diagnosis of BOS stage 2, stage 3 or RAS (aOR 20.1 (95% CI 2.4–257), 12.3 (95% CI 2.2–95) and >50, respectively) as independent predictors for hospital mortality (p<0.05). Only eight (5.2%) patients had positive DSAs before ICU readmission and this variable did not affect the models.
Variables associated with intensive care unit (ICU)/hospital mortality in multivariate regression model, clustered by investigator site
After ICU discharge, 15 (9.8%) patients required new ICU readmissions (twice in three subjects). These admissions occurred at a median (IQR) 46 (15–209) days after ICU discharge. Subsequent ICU readmission was associated with extremely high mortality (second ICU readmission 52.6%; third ICU readmission 66.6%). Causes and further details of recurrent readmissions are shown in supplementary table S5.
Discussion
We report the largest prospective, multicentre cohort study to date on lung transplant recipients in the ICU beyond the post-operative period. Importantly, bacterial pneumonia was identified as the main cause of ICU readmission (and an independent risk factor for ICU mortality), with P. aeruginosa being the main pathogen. Aspergillosis, P. jirovecii and respiratory virus pulmonary infections (including influenza) were unlikely causes of severe ARF. Graft rejection was relatively infrequent (only 5.2% of patients were admitted for acute allograft rejection) and presence of DSAs before ICU admission did not influence outcomes. In contrast, CLAD was identified as a significant predictor of death; survival was inversely correlated with severity of obstruction in the BOS phenotype and the RAS phenotype should be considered as an indication for palliative care.
Our data confirmed previous studies (albeit with retrospective or single-centre designs and small sample sizes) that identified ARF as the main indication for ICU readmission, followed by sepsis [12–17]. Differences between studies are detailed in supplementary table S1. However, our analysis was the first to identify an independent association of pneumonia and CLAD with mortality and the need for IMV. The intensity of allograft exposure to the external environment (and potential pathogens), organisms with high MICs, the net state of immunosuppression and ineffective clearance of secretions may explain these findings [28–30]. The fact that patients with pneumonia have poor outcomes may be because of the delay in administering adequate empirical antimicrobial therapy due to multidrug-resistant isolates [31, 32].
OXA-48 is a predominant mechanism of carbapenem resistance in Spain, but Klebsiella pneumoniae carbapenemase was endemic at one of the centres. Most instances of multidrug-resistant P. aeruginosa were identified in two sites (Barcelona and Santander). Over 60% of multidrug-resistant P. aeruginosa strains were highly carbapenem resistant, with >80% only susceptible to amikacin and colistin (the only antibiotic to which all strains were susceptible). Overall, the MIC50 to meropenem was >16 μg·mL−1 and the MIC90 was >32 μg·mL−1. Improved diagnostic strategies, including new biomarkers [33, 34] in blood and BAL, should be implemented. Moreover, our findings emphasise the need for new antibiotics such as ceftolozane–tazobactam, due to the spread of carbapenem-resistant P. aeruginosa, in which early adequate treatment (mostly with colistin and aminoglycosides) does not seem to be associated with improved prognosis. Indeed, prompt pneumonia recognition and pathogen detection for targeted therapy requires the implementation of rapid diagnostic tests at the patient's bedside both to identify the microbiology and to detect resistance [35, 36].
The ICU mortality of 35.9% is lower than that reported by other studies (with mortality rates >60%; supplementary table S1) [13, 14]. The differences with respect to previous results may be attributed to the heterogeneity among centres with regard to ICU readmission criteria, the small numbers of patients in previous studies, the incidence of sepsis and advances in critical care. In our cohort, CLAD showed an independent three-fold increase of risk of death. The relevance of CLAD in quality of life and as a cause of death after lung transplant has been reported in the general population [2, 37], but it has not previously been identified as a prognostic factor in lung transplant recipients with ICU readmission. However, our findings highlight the importance of CLAD as a predictor of mortality in lung transplant recipients requiring ICU readmission, taking into account CLAD phenotype and stage, with ICU survival being extremely poor for RAS (7.7%) and BOS stage 3 (12.5%) patients. Since no recipients with RAS and only one with BOS stage 3 were discharged home alive, these conditions should be considered indications for palliative care.
The variables FEV1 and FVC showed no significant differences between ICU survivors and nonsurvivors. However, in our cohort, ∼22% of recipients were readmitted to the ICU within the first month (50% within 6 months) after lung transplant. This introduces a potential bias, since such a short period of time does not allow for identification of reductions in FEV1 and FVC. The current analysis has other limitations. The most important is the heterogeneity of the patients included between centres (tables 1 and 2), although the multivariate model was controlled by centre. Patients were included over a 4-year period and Sepsis 3.0 definitions cannot be applied. Data on perioperative management of these patients was not recorded, and we do not know its potential association with ICU readmission and mortality, but given the delay in readmission (median 6 months) it is unlikely to have any influence.
Our findings add information on the outcomes on lung transplant recipients and have important clinical implications. First, they emphasise the effect of CLAD, and suggest that RAS and BOS stage 3 could be considered as exclusion criteria for ICU readmission. Second, they highlight the importance of weighing the risks of high-dose corticosteroids in lung transplant recipients. As both graft failure and lung infection present a common pattern of ARF presentation but require completely opposite immunosuppressive strategies (an increase versus a decrease), a comprehensive and invasive diagnostic strategy is needed. Further studies should seek to elucidate the prognostic drivers of ARF. Finally, we stress that the causative agents of pneumonia requiring ICU readmission have changed over the past decade [38].
Conclusions
In adult lung transplant recipients requiring ICU readmission, pneumonia and CLAD (phenotype and severity of BOS) independently influenced risk of death. Other complications such as acute allograft dysfunction were uncommon.
Supplementary material
Supplementary Material
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Supplementary appendix 1 ERJ-01512-2018.Appendix_1
Supplementary appendix 2 ERJ-01512-2018.Appendix_2
Supplementary appendix 3 ERJ-01512-2018.Appendix_3
Supplementary figure S1 ERJ-01512-2018.Figure_S1
Supplementary figure S2 ERJ-01512-2018.Figure_S2
Supplementary table S1 ERJ-01512-2018.Table_S1
Supplementary table S2 ERJ-01512-2018.Table_S2
Supplementary table S3 ERJ-01512-2018.Table_S3
Supplementary table S4 ERJ-01512-2018.Table_S4
Supplementary table S5 ERJ-01512-2018.Table_S5
Supplementary table S6 ERJ-01512-2018.Table_S6
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Acknowledgements
We thank Jordi Riera (Intensive Care Dept, Vall d'Hebron University Hospital, Barcelona, Spain) for critical review, Anabel Romero (CIBERES; Barcelona, Spain) for critical review and statistical advice, and Alberto Sandiumenge (Transplant Coordination Dept, Vall d'Hebron University Hospital) for critical review. All statistical analyses were carried out by the staff of the Statistics and Bioinformatics Unit in the Vall d'Hebron Institute of Research (VHIR; Barcelona, Spain). Language assistance was provided by Fidelma Greaves (Vall d'Hebron Research Institute, Barcelona, Spain) and Michael Maudsley (Instituto de Salud Carlos III, Madrid, Spain) .
Footnotes
This article has supplementary material available from erj.ersjournals.com
Support statement: This work was funded in part by the Instituto Salud Carlos III, Madrid and CIBERES (Fondos FEDER) (grant PI14/1296). Funding information for this article has been deposited with the Crossref Funder Registry.
Conflict of interest: C. Mazo has nothing to disclose.
Conflict of interest: T. Pont has nothing to disclose.
Conflict of interest: M.A. Ballesteros has nothing to disclose.
Conflict of interest: E. López has nothing to disclose.
Conflict of interest: L. Rellán has nothing to disclose.
Conflict of interest: J.C. Robles has nothing to disclose.
Conflict of interest: J. Rello has nothing to disclose.
- Received August 9, 2018.
- Accepted June 25, 2019.
- Copyright ©ERS 2019