Literature DB >> 34707354

Significance of Stenotrophomonas maltophilia When Detected in Sputum of Ambulatory Patients with COPD.

Thibaud Soumagne1, Florence Levesque1, Julie Milot1, Krystelle Godbout1, Yves Lacasse1, François Maltais1.   

Abstract

INTRODUCTION: Stenotrophomonas maltophilia is an emerging Gram-negative MDR bacteria. In patients with chronic obstructive pulmonary disease (COPD), it is mostly found in those with severe exacerbation of COPD requiring mechanical ventilation. The significance of S. maltophilia when detected in the sputum of ambulatory patients with COPD is uncertain.
OBJECTIVE: To access the prevalence and the risk factors of the presence of S. maltophilia in the sputum of ambulatory patients with COPD and to determine whether it was associated with prognosis.
METHODS: All consecutive unselected ambulatory patients with GOLD 2-4 COPD were recruited between January 2017 and September 2019 from the COPD clinic of a tertiary care hospital. Presence of S. maltophilia was defined by a positive sputum culture for S. maltophilia. Demographics, COPD characteristics, comorbidities and known predisposing risk factors associated with S. maltophilia were collected from medical records.
RESULTS: S. maltophilia was detected in the sputum of 41/393 (10%) of study participants. Comorbidities, exacerbation, use of oral steroids and carbapenems in the previous year were risk factors for the presence of S. maltophilia. After adjusting on confounding factors associated with mortality including age, Charlson comorbidity index and FEV1, S. maltophilia was significantly associated with mortality (adjusted hazard ratio 2.3; 95% CI 1.1-4.9).
CONCLUSION: In the current study, we found that 10% of ambulatory patients with GOLD 2-4 COPD had S. maltophilia detected in their sputum. In addition, S. maltophilia may represent a marker of overall morbidity in patients with COPD.
© 2021 Soumagne et al.

Entities:  

Keywords:  Stenotrophomonas maltophilia; chronic obstructive; prognosis; pulmonary disease; risk factors

Mesh:

Substances:

Year:  2021        PMID: 34707354      PMCID: PMC8542894          DOI: 10.2147/COPD.S325419

Source DB:  PubMed          Journal:  Int J Chron Obstruct Pulmon Dis        ISSN: 1176-9106


Introduction

Bacterial colonization occurs in 30% of patients with chronic obstructive pulmonary disease (COPD) when in a stable phase and it contributes to disease progression and recurrence of acute exacerbation of COPD (AECOPD).1 Stenotrophomonas maltophilia is an emerging Gram-negative MDR bacteria that is most commonly associated with respiratory infections in humans.2 In patients with COPD, it is mostly found in those with severe AECOPD requiring mechanical ventilation and associated with worse survival.3 The significance of S. maltophilia when detected in the sputum of ambulatory patients with COPD is uncertain. Therefore, we aimed at investigating the prevalence and the risk factors of the presence of S. maltophilia in the sputum of ambulatory patients with COPD and to determine whether it was associated with prognosis.

Methods

This retrospective study involved all consecutive unselected ambulatory patients with GOLD 2–4 COPD recruited between January 2017 to September 2019 from the COPD clinic of a tertiary care hospital (Institut universitaire de cardiologie et de pneumologie de Québec). The study was approved by the local Research Ethics Board (CRIUCPQ, 2020–3317). Data were fully anonymized in a standardized case report form to ensure data confidentiality. As such, written consent from the patients or their guardians was exempted and this study was carried out in full compliance with the Helsinki Declaration. Presence of S. maltophilia was defined by a positive sputum culture for S. maltophilia. Sputum specimens were plated and cultured on usual agar media. Colonies fitting S. maltophilia phenotypic characteristic were then isolated. Identification and antibiotic susceptibility were performed with the Vitek 2 Compact System (Biomerieux, Canada). In case of inconclusive results, colonies were identified using either Vitek MS or Bruker’s MALDI/TOF mass spectrometry (Bruker, Canada). Demographics, COPD characteristics, comorbidities and known predisposing risk factors associated with S. maltophilia were collected from medical records. We searched for potential host factors potentially associated with the detection of S. maltophilia using bivariate correlations that were further summarized using focused principal component analysis (FPCA, “psy” package within the R environment) as previously described.4 A multivariate logistic regression model with backward stepwise selection was then performed to confirm which host factors, amongst those that were identified with the FPCA, were significantly associated with the presence of S. maltophilia in the sputum. Finally, the impact of S. maltophilia sputum detection on all-cause mortality was evaluated using Kaplan-Meier survival analysis, Log rank test, and Cox regression. Statistical analysis was performed with R version 4.0.3 and RStudio version 1.4.1103 (R Foundation for Statistical Computing, Vienna, Austria).

Results

Three-hundred ninety-three patients with GOLD 2–4 COPD were included in the study. Mean age was 69.0 ± 8.5 years and 57% were male. Mean FEV1 was 44.3 ± 16.5% of the predicted value and 49% had GOLD D COPD (Table 1). 82% were taking triple inhaled therapy, 23% were on prophylactic azithromycin and 6% had long-term oral steroids (defined by a prednisone equivalent dose of >7.5 mg·day−1 for more than 3 months). The most frequent comorbidities were hypertension (52%), diabetes (17%), coronary artery disease (CAD) (11%) and cancer in the previous five years (15%). No patient was admitted to the ICU department in the 12-month period prior to data collection.
Table 1

Main Characteristics of Patients with COPD Included in the Study

Presence of S. maltophiliaControlsp-value
n = 41n = 352
Demographics
 Age, year s71.0 ± 8.268.9 ± 8.50.12
 Male28 (68)195 (55)0.11
 Body mass index, kg/m227.2 ± 5.627.2 ± 6.30.99
 Current smokers, %8 (20)84 (24)0.53
 Cumulative smoking exposure, pack-years42.8 ± 18.541.3 ± 19.40.64
Disease severity
CAT score24.0 ± 7.820.9 ± 7.40.01
AECOPD in the previous year38 (93)228 (65)< 0.0001
 Moderate exacerbations2.5 ± 1.91.4 ± 1.6< 0.0001
 Severe exacerbations0.9 ± 1.40.1 ± 0.4< 0.0001
Number of hospital admission in the previous year1.1 ± 1.70.2 ± 0.6< 0.0001
GOLD A/B/C/D0/8/1/3217/161/12/1620.001
Lung function
 FEV1 post BD, L0.98 ± 0.351.13 ± 0.480.06
 FEV1 post BD, % predicted39.3 ± 14.644.9 ± 16.70.10
 GOLD stage 1/2/3/40/10/20/118/118/160/660.44
Therapy
 LAMA40 (98)340 (97)1.00
 LABA39 (95)342 (97)0.36
 ICS40 (98)295 (84)0.02
 Triple therapy38 (93)284 (81)0.08
 Long term oral steroids7 (17)16 (5)0.001
 Macrolides17 (42)74 (21)0.003
 Antibiotics in the previous year38 (95)221 (63)< 0.0001
Comorbidities
 Charlson comorbidity index6.1 ± 2.74.6 ± 2.1< 0.0001
 CAD and/or CHF21 (51)100 (28)0.003
 Hypertension28 (68)177 (50)0.03
 Diabetes9 (22)58 (17)0.38
 Cerebrovascular disease7 (17)19 (5)0.004
 Cancer in the last 5 years13 (32)47 (13)0.002
 Chronic kidney disease1 (2.5)4 (1.1)0.53
 Bronchiectasis8 (20)34 (10)0.06

Note: Values in bold are significant (p < 0.05).

Abbreviations: BD, bronchodilator; CAD, coronary artery disease; CAT, COPD assessment test; CHF, chronic heart failure; ECOPD, exacerbation of COPD; FEV1, forced expiratory volume in the first second; GOLD, global initiative for chronic obstructive lung disease; ICS, inhaled corticosteroids; LABA, long-acting b2-agonist; LAMA, long-acting muscarinic antagonist.

Main Characteristics of Patients with COPD Included in the Study Note: Values in bold are significant (p < 0.05). Abbreviations: BD, bronchodilator; CAD, coronary artery disease; CAT, COPD assessment test; CHF, chronic heart failure; ECOPD, exacerbation of COPD; FEV1, forced expiratory volume in the first second; GOLD, global initiative for chronic obstructive lung disease; ICS, inhaled corticosteroids; LABA, long-acting b2-agonist; LAMA, long-acting muscarinic antagonist. S. maltophilia was detected in the sputum of 41/393 (10%) of study participants and Pseudomonas aeruginosa was found in 55/393 patients (14%); in 12/41 patients, S. maltophilia was identified during the course of a moderate AECOPD. No difference was found between patients in which S. maltophilia was detected in stable condition and during an exacerbation. In six patients, S. maltophilia persisted in sputum for more than one year in sputum. Susceptibility of S. maltophilia strains was of 98% for levofloxacin, 98% for minocycline, 85% for trimethoprim/sulfamethoxazole and 46% for ceftazidime. From the available clinical data, based on the FPCA, two categories of host factors were significantly associated with the presence of S. maltophilia in the sputum (Figure 1). The first category was directly related to COPD and included the occurrence of moderate and/or severe exacerbations in the 12-month prior to data collection (yes or no), use of antibiotics (especially carbapenems), long-term oral steroids, inhaled corticosteroids, azithromycin and CAT score. The second category was related to comorbidities and included hypertension, cancer, cerebrovascular disease, CAD and chronic heart failure (CHF).
Figure 1

Focused principal component analysis (FPCA) for the association between presence of S. maltophilia and several host factors. FPCA is a simple graphical display of correlation structures focusing on a particular dependent variable. The display reflects primarily the correlations between the dependent variable and all other variables (covariates) and secondarily, the correlations among the covariates. The dependent variable (the presence of S. maltophilia in the sputum) is at the center of the diagram, and the distance from this point to a covariate faithfully represents their pairwise Spearman correlation coefficient (using ranked values of continuous variables). Green covariates are positively correlated and yellow covariates negatively correlated with the dependent variable. Covariates (in bold) inside the red circle are significantly correlated with the dependent variable (with a p value < 0.05). The diagram also shows relationships between covariates as follows: correlated covariates are close (for positive correlations, allowing identification of clusters) or diametrically opposite vis‐a‐vis the origin (for negative correlations), whereas independent covariates make a right angle with the origin.

Focused principal component analysis (FPCA) for the association between presence of S. maltophilia and several host factors. FPCA is a simple graphical display of correlation structures focusing on a particular dependent variable. The display reflects primarily the correlations between the dependent variable and all other variables (covariates) and secondarily, the correlations among the covariates. The dependent variable (the presence of S. maltophilia in the sputum) is at the center of the diagram, and the distance from this point to a covariate faithfully represents their pairwise Spearman correlation coefficient (using ranked values of continuous variables). Green covariates are positively correlated and yellow covariates negatively correlated with the dependent variable. Covariates (in bold) inside the red circle are significantly correlated with the dependent variable (with a p value < 0.05). The diagram also shows relationships between covariates as follows: correlated covariates are close (for positive correlations, allowing identification of clusters) or diametrically opposite vis‐a‐vis the origin (for negative correlations), whereas independent covariates make a right angle with the origin. The following host factors were independently associated with S. maltophilia sputum detection in the multivariate analysis: CAD and/or CHF (OR 2.7; 95% CI 1.3–5.7), cancer in the previous 5 years (OR 3.2; 95% CI 1.4–7.2), long term use of oral steroids (OR 4.2; 95% CI 1.3–12.5), the occurrence of moderate and/or severe AECOPD (OR 5.7; 95% CI 1.9–24.7) and carbapenem use (OR 13.5; 95% CI 4.9–39.2) in the 12-month period prior to the data collection. Mean follow up was 25.9 ± 11.2 months and 25.4 ± 10.6 months in patients with and without S. maltophilia in the sputum, respectively. During the follow-up period, 34 patients died, of these 9/41 (22%) had S. maltophilia detected in their sputum and 25/352 (7%) had not. The Kaplan–Meier survival curve indicated that S. maltophilia sputum detection was significantly associated with mortality in this population (Log rank test p = 0.003). This association remained after adjusting on confounding factors associated with mortality including age, Charlson comorbidity index and FEV1 (adjusted hazard ratio 2.3; 95% CI 1.1–4.9) (Figure 2).
Figure 2

Kaplan–Meier survival curves over the first 36 months following sputum detection of S. maltophilia. Survival data was censored at 36 months. Mortality was adjusted for age, Charlson comorbidity index and FEV1.

Kaplan–Meier survival curves over the first 36 months following sputum detection of S. maltophilia. Survival data was censored at 36 months. Mortality was adjusted for age, Charlson comorbidity index and FEV1.

Discussion

Studies regarding S. maltophilia in COPD are scarce and most were conducted more than 15 years ago. In these studies, prevalence of S. maltophilia ranged between 0.5% in stable COPD patients and 3% in those with severe AECOPD admitted to ICU.1,3 However, prevalence and awareness of S. maltophilia have increased in the last decade and this bacteria now accounts for 1.4% of pathogens isolated from general population in Canadian hospitals.5 Furthermore, refinement in microbiological techniques, including the use of selective culture media and of MALDI–TOF mass spectrometry have improved the ability to identify and isolate of S. maltophilia from polymicrobial cultures.6,7 In the current study, we found a 10% prevalence of S. maltophilia isolation in ambulatory patients with COPD which is somewhat similar to that found in cystic fibrosis (14%).8 Risk factors for S. maltophilia sputum detection in the current study were similar to those found in cancer patients, immunocompromised hosts and individuals previously exposed to wide-spectrum antibiotics.2,9,10 In addition, we found an association between S. maltophilia and COPD exacerbation, use of oral steroids and carbapenems which might represent targets for further preventive strategies. As S. maltophilia may persist in the sputum of these patients for a long period of time, it may be difficult to ascertain the clinical significance of a positive culture result from the microbiology laboratory.11 The present data suggest that in ambulatory patients with COPD, S. maltophilia may represent a marker of overall morbidity and its clinical significance should not be overlooked by clinicians. We found that the presence of S. maltophilia in the sputum was associated with increased mortality even after adjustment for potential confounders such as age, Charlson comorbidity index and FEV1. In conclusion, we found that: 1) 10% of ambulatory patients with GOLD 2–4 COPD had S. maltophilia detected in their sputum, 2) comorbidities, exacerbation, use of oral steroids and carbapenems were risk factors for the presence of S. maltophilia in the sputum, and 3) the latter may represent a marker of overall morbidity and a predictor of mortality in patients with COPD. Additional research is needed to determine the role of S. maltophilia in COPD.
  9 in total

1.  Clinical epidemiology of Stenotrophomonas maltophilia colonization and infection: a multicenter study.

Authors:  Maria Dolores del Toro; Jesús Rodríguez-Bano; Marta Herrero; Antonio Rivero; Miguel A García-Ordoñez; Juan Corzo; Rogelio Pérez-Cano
Journal:  Medicine (Baltimore)       Date:  2002-05       Impact factor: 1.889

2.  Airway inflammation and bronchial microbial patterns in patients with stable chronic obstructive pulmonary disease.

Authors:  N Soler; S Ewig; A Torres; X Filella; J Gonzalez; A Zaubet
Journal:  Eur Respir J       Date:  1999-11       Impact factor: 16.671

3.  Stenotrophomonas maltophilia in cystic fibrosis: improved detection by the use of selective agar and evaluation of antimicrobial resistance.

Authors:  P Goncalves-Vidigal; J Grosse-Onnebrink; U Mellies; J Buer; P-M Rath; J Steinmann
Journal:  J Cyst Fibros       Date:  2011-07-16       Impact factor: 5.482

4.  Risk factors of superinfection following imipenem/cilastatin therapy in hospitalised patients with acute exacerbations of severe chronic obstructive pulmonary disease.

Authors:  X Ding; X Wu; Y Peng; S Hu; H Nie
Journal:  Int J Clin Pract       Date:  2006-07       Impact factor: 2.503

Review 5.  Stenotrophomonas maltophilia: an emerging global opportunistic pathogen.

Authors:  Joanna S Brooke
Journal:  Clin Microbiol Rev       Date:  2012-01       Impact factor: 26.132

6.  Antimicrobial susceptibility of 22746 pathogens from Canadian hospitals: results of the CANWARD 2007-11 study.

Authors:  George G Zhanel; Heather J Adam; Melanie R Baxter; Jeff Fuller; Kimberly A Nichol; Andrew J Denisuik; Philippe R S Lagacé-Wiens; Andrew Walkty; James A Karlowsky; Frank Schweizer; Daryl J Hoban
Journal:  J Antimicrob Chemother       Date:  2013-05       Impact factor: 5.790

7.  Trends in pathogens colonising the respiratory tract of adult patients with cystic fibrosis, 1985-2005.

Authors:  F A Millar; N J Simmonds; M E Hodson
Journal:  J Cyst Fibros       Date:  2009-09-08       Impact factor: 5.482

8.  New strategies against Stenotrophomonas maltophilia: a serious worldwide intrinsically drug-resistant opportunistic pathogen.

Authors:  Joanna S Brooke
Journal:  Expert Rev Anti Infect Ther       Date:  2013-12-04       Impact factor: 5.091

9.  Intensive care unit-acquired Stenotrophomonas maltophilia: incidence, risk factors, and outcome.

Authors:  Saad Nseir; Christophe Di Pompeo; Hélène Brisson; Florent Dewavrin; Stéphanie Tissier; Maimouna Diarra; Marie Boulo; Alain Durocher
Journal:  Crit Care       Date:  2006       Impact factor: 9.097

  9 in total
  2 in total

Review 1.  Clinical challenges treating Stenotrophomonas maltophilia infections: an update.

Authors:  Maria F Mojica; Romney Humphries; John J Lipuma; Amy J Mathers; Gauri G Rao; Samuel A Shelburne; Derrick E Fouts; David Van Duin; Robert A Bonomo
Journal:  JAC Antimicrob Resist       Date:  2022-05-05

2.  Characteristics of the sputum microbiome in COPD exacerbations and correlations between clinical indices.

Authors:  Linfan Su; Yixian Qiao; Jinmei Luo; Rong Huang; Zhiwei Li; Hongbing Zhang; Hongmei Zhao; Jing Wang; Yi Xiao
Journal:  J Transl Med       Date:  2022-02-05       Impact factor: 5.531

  2 in total

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