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SYSTEMATIC REVIEW article

Front. Med., 05 May 2023

Sec. Infectious Diseases: Pathogenesis and Therapy

Volume 10 - 2023 | https://doi.org/10.3389/fmed.2023.1163439

Global prevalence and antibiotic resistance in clinical isolates of Stenotrophomonas maltophilia: a systematic review and meta-analysis

  • 1. Department of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

  • 2. Department of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

  • 3. Department of Microbiology, Karaj Branch, Islamic Azad University, Karaj, Iran

  • 4. Research Center for Antibiotic Stewardship and Antimicrobial Resistance, Tehran University of Medical Sciences, Tehran, Iran

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Abstract

Introduction:

Stenotrophomonas maltophilia is a little-known environmental opportunistic bacterium that can cause broad-spectrum infections. Despite the importance of this bacterium as an emerging drug-resistant opportunistic pathogen, a comprehensive analysis of its prevalence and resistance to antibiotics has not yet been conducted.

Methods:

A systematic search was performed using four electronic databases (MEDLINE via PubMed, Embase, Scopus, and Web of Science) up to October 2019. Out of 6,770 records, 179 were documented in the current meta-analysis according to our inclusion and exclusion criteria, and 95 studies were enrolled in the meta-analysis.

Results:

Present analysis revealed that the global pooled prevalence of S. maltophilia was 5.3 % [95% CI, 4.1–6.7%], with a higher prevalence in the Western Pacific Region [10.5%; 95% CI, 5.7–18.6%] and a lower prevalence in the American regions [4.3%; 95% CI, 3.2–5.7%]. Based on our meta-analysis, the highest antibiotic resistance rate was against cefuroxime [99.1%; 95% CI, 97.3–99.7%], while the lowest resistance was correlated with minocycline [4·8%; 95% CI, 2.6–8.8%].

Discussion:

The results of this study indicated that the prevalence of S. maltophilia infections has been increasing over time. A comparison of the antibiotic resistance of S. maltophilia before and after 2010 suggested there was an increasing trend in the resistance to some antibiotics, such as tigecycline and ticarcillin-clavulanic acid. However, trimethoprim-sulfamethoxazole is still considered an effective antibiotic for treating S. maltophilia infections.

Introduction

Stenotrophomonas maltophilia is an environmental Gram-negative bacillus that has been the subject of extensive research over the last two decades due to its status as the only known species of Stenotrophomonas to cause opportunistic infections in humans (1). Before the 1970s, this bacterium was underestimated and was considered a rare opportunistic pathogen with low invasiveness. However, advances in medical interventions and pharmacological treatments have led to an increase in the population of immunocompromised patients, such as those undergoing chemotherapy, organ transplantations, or complex surgeries, who are prone to infection with this bacterium. In addition, the development of diagnostic methods in clinical microbiology resulted in more precise identification of this pathogen. Therefore, the number of reported S. maltophilia infections has increased, and it is recognized as an emerging nosocomial pathogen (2). S. maltophilia causes infections of the soft tissue, urinary tract, eye, and wound. In addition, it causes pneumonia, bacteremia, sepsis, endocarditis, osteochondritis, mastoiditis, and meningitis (3). Predisposing factors associated with S. maltophilia infections include underlying malignancy, indwelling devices, chronic respiratory disease, particularly cystic fibrosis, immune compromisation, prolonged antibiotic use, and long-term hospitalization or admission to an intensive care unit (ICU) (3, 4). The treatment of infections caused by this bacterium presents several challenges. Distinguishing colonization from invasive infections is problematic, and physicians often fail to recognize their associated risk factors and clinical characteristics, which leads to delayed antibiotic prescription and high mortality (5).

Because of the high-level intrinsic resistance of S. maltophilia to several classes of antibiotics, there are restricted therapeutic choices for its infections. This bacterium can resist the β-lactam antibiotics (most notably carbapenems) by producing ß-lactamase enzymes, including L1 and L2. It also disrupts the action of aminoglycosides by hydrolyzing enzymes such as acetyl-transferases or modifying the structure of lipopolysaccharide. In addition, low membrane permeability and the overproduction of efflux pumps are other mechanisms that render S. maltophilia resistant to a broad range of antibiotics (2, 6). Additionally, they can acquire resistance genes and genetic mutations (7, 8), further limiting the choice of effective antimicrobials. This increasing prevalence of drug-resistant S. maltophilia has presented one of the biggest challenges in treating patients in recent years (3, 9).

The Infectious Diseases Society of America (IDSA) has approved a guideline document with recommendations for treating S. maltophilia infections (10). Trimethoprim-sulfamethoxazole (TMP/SMX) is the antibiotic of choice for treating these infections, but its use is limited by allergy, intolerance, and increased resistance (11). Other drugs with good susceptibility impact include ticarcillin-clavulanate, ceftazidime, and fluoroquinolones, although resistance to these drugs has been reported. Tetracyclines such as minocycline, tigecycline, and doxycycline are also efficacious in treating S. maltophilia infections, and their efficacy has been reported in different geographic areas (3, 12).

The main objective of this study was to assess the global prevalence of S. maltophilia and its resistance to commonly used antibiotics. We conducted this systematic review of global human infections due to S. maltophilia over the last 31 years.

Methods

Search strategy and selection criteria

Four electronic databases, including MEDLINE (via PubMed), Embase, Web of Science, and Scopus, were systematically searched using different combinations of the following keywords: “Stenotrophomonas maltophilia” OR “Xanthomonas maltophilia” AND “antibiotic resistance” AND “minimum inhibitory concentration” AND “disk agar diffusion” AND “multilocus sequence typing” AND “E-test” AND “antimicrobial resistance gene”. The databases were searched up to 20 October 2019 without any start time limitation.

The study was carried out based on the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (13). Two distinct reviewers applied the inclusion and exclusion criteria for article selection and screened the titles and abstracts of all studies; then, two autonomous researchers qualified the screened papers. Any disagreements between the reviewers were resolved by consensus.

Inclusion criteria

Articles were included if they reported the prevalence of S. maltophilia isolation among diverse patients in combination with the antibiotic resistance rates of the isolates to various antibiotics, or reported only the antibiotic resistance rates of the isolates. Only articles about the clinical isolates of S. maltophilia were enrolled, and studies on the environmental isolates were not considered.

Exclusion criteria

Conference papers were not evaluated as they did not provide sufficient information for quality assessment. Dissertations and theses were excluded. Articles with unrelated topics, duplicates or overlapping studies, reviews, meta-analyses or systematic reviews, case reports, brief reports, notes, editorials, correspondence, short communications, and letters to the editors were not included. Studies with languages other than English or with unavailable full text were dismissed. Studies that evaluated species other than S. maltophilia or tested a total isolate <10 were not assessed. Articles that reported antibiotic resistance as MIC 90 or those that evaluated the combinatorial effects of antibiotics were not enrolled. Studies that considered S. maltophilia a Gram-negative bacterium and reported a total antibiotic resistance rate in Gram-negative bacteria were excluded. Articles were removed if they tested only the resistant isolates or reported only the prevalence of S. maltophilia infection.

Study selection and data extraction

Two independent researchers read the included articles in full text and extracted the following details: first author's name, year of study, year of publication, location of the study (country and region), sample size (N/total), type of samples, antibiotic susceptibility testing methods used (agar dilution, broth microdilution, broth macrodilution, E-test, disk agar diffusion [DAD], MIC test strip, Vitek, Phoenix, and Microscan), the antibiotic resistance rate of isolates against various antibiotics, frequency of resistance genes, and frequency of different sequence types. Any discrepancy between the two reviewers was settled by consensus.

Quality assessment

Two reviewers separately evaluated the quality of the included studies using the Joanna Briggs Institute (JBI) critical appraisal checklist for studies reporting prevalence data (14). This scale rates each criterion out of 1, with a total score ranging from 0 to 10. Studies with a score of ≥5 were classified as high quality.

Meta-analysis

The meta-analysis was carried out using Comprehensive Meta-Analysis (CMA) software version 2.0 (Biostat, Englewood, NJ). A random-effect model was used for meta-analysis and to pool the estimations. The prevalence of the investigated phenomenon was presented as a forest plot diagram, which shows the estimated prevalence and its relevant 95% confidence interval (CI). Heterogeneity between studies was reported by I2 statistics. An I2 between 0 and 25% suggests low heterogeneity, 25–50% indicates moderate heterogeneity, 50–75% represents substantial heterogeneity, and 75–100% shows considerable heterogeneity. Subgroup meta-analysis was employed to compare the prevalence of S. maltophilia based on WHO-defined regions and 5-year time intervals. In addition, the antibiotic resistance rates of isolates were compared based on world regions and whether they were reported before or after 2010. To assess the potential risk of publication bias, Begg's rank correlation and Egger's weighted regression methods in combination with a funnel plot were used (P < 0.05 was regarded as indicative of a statistically notable publication bias) (15).

Results

A total of 6,770 records were identified through searches of the four aforementioned electronic databases (Figure 1). After removing the 3,613 duplicates, 3,157 unique records were screened based on titles and abstracts, and 2,340 articles were excluded, such as studies with non-relevant topics (n = 1,245), repetitive articles (n = 470), reviews (n = 234), systematic reviews (n = 3), case reports (n = 64), letters to the editors (n = 60), conference abstracts (n = 111), editorials (n = 9), short surveys (n = 10), correspondence (n = 2), notes (n = 12), reports (n = 3), a book (n = 1), articles with a total sample of <10 strains (n = 17), non-English studies (n = 47), and articles that studied environmental samples (n = 21). In addition, 30 articles were removed because their full texts were not available. The eligibility of 817 full-text articles was assessed and, ultimately, 179 studies met the inclusion criteria and were enrolled in the qualitative analysis. Of these, 95 studies reporting the prevalence of S. maltophilia infection were selected for quantitative analysis (meta-analysis). The characteristics of the 179 included studies are summarized in Table 1.

Figure 1

Figure 1

Summary of the literature search and study selection.

Table 1

References Time of study Time of publication Country WHO regions Type of study Sample size (N/total) Type of samples Patients Quality score
1 Al-Lawati et al. (16) ND 2000 Oman Eastern Mediterranean Region (EMR) Not-determined (ND) 9/100 Respiratory (7), wound (1), others (1) Hospitalized patients (ICU) 6
2 Asaad et al. (17) 2012-2013 2013 Saudi Arabia EMR Cross-sectional 26/125 Clinical samples Hospitalized patients 7
3 Bostanghadiri et al. (18) 2016-2017 2019 Iran EMR Cross-sectional 164/164 Blood (137), cough swabs (16), nose/throat secretions (9), sputum (1), CSF (1) Hospitalized patients 4
4 Cunha et al. (19) 1995 1997 Saudi Arabia EMR Prospective 27/1132 Clinical samples Nosocomial infection 6
5 Ebrahim-Saraie et al. (20) 2015-2016 2019 Iran EMR Retrospective 44/44 Clinical samples NICU, ICU, SUR, transplant, general medicine 5
6 El Tahawy and Khalaf (21) 1999-2000 2001 Saudi Arabia EMR ND 35/499 Clinical samples ICU, surgery, pediatric, gynecology 7
7 Jamali et al. (22) 2008-2009 2011 Iran EMR ND 100/2300 Blood(100) Hospitalized patients 7
8 Khalili et al. (23) 2007-2010 2012 Iran EMR ND 281/1745 Clinical samples Hospitalized patients 6
9 Morsi et al. (24) 2013-2015 2016 Egypt EMR Cross-sectional 32/32 Urine (1), sputum (7), endotracheal aspirates (15), blood (3), pus (6) Hospitalized patients 6
10 Qadri et al. (25) ND 1991 Saudi Arabia EMR ND 31/3144 Clinical samples ND 7
11 Qadri et al. (26) ND 1992 Saudi Arabia EMR ND 28/1205 Clinical samples ND 7
12 Qadri et al. (27) ND 1993 Saudi Arabia EMR ND 67/1294 Clinical samples Hospitalized patients 7
13 Qadri et al. (28) 1992 1993 Saudi Arabia EMR Cross-sectional 22/563 Clinical samples Hospitalized patients 7
14 Qadri et al. (29) ND 1992 Saudi Arabia EMR ND 36/922 Clinical samples Hospitalized patients 7
15 Cha et al. (30) 2006-2014 2016 South Korea Western Pacific Region (WPR) Cross-sectional 127/127 Blood (127) Bacteremia 6
16 Chang et al. (31) 2002 2004 Taiwan WPR Cross-sectional 93/93 Sputum (54), wounds (14), central venous catheter (8), urine (5), bile (4), blood (4), throat swabs (2), cerebrospinal fluid (1), eye (1) ND 5
17 Chen et al. (32) 2002-2006 2010 Taiwan WPR Retrospective 67/1307 Blood (67) Hospitalized patients (hematological malignancy) 7
18 Cho et al. (33) 2009-2014 2015 South Korea WPR Retrospective 31/31 Blood (31) Hospitalized patients (hematological malignancy) 5
19 Cho et al. (34) 2009 2012 South Korea WPR ND 33/33 Clinical samples Hospitalized patients 5
20 Chung et al. (35) 2010 2013 South Korea WPR ND 206/206 Clinical samples ND 5
21 Chung et al. (9) 2009-2010 2015 South Korea WPR ND 252/252 Clinical samples ND 5
22 Fu et al. (36) ND 2003 China WPR ND 323/3905 Clinical samples ND 7
23 Fujita et al. (37) 1988-1992 1996 Japan WPR ND 10/10 Upper respiratory tract (10) Patients with pneumonia 5
24 Friedman et al. (38) 1988-1997 2002 Australia WPR Retrospective 45/45 Blood (45) Patients with bacteremia 4
25 Hsueh et al. (39) 1999-2003 2005 Taiwan WPR ND 451/1006 Clinical samples ND 6
26 Hu et al. (40) 2006-2008 2011 China WPR ND 102/102 Clinical samples ICU, surgery, oncology, neurology, respiratory care, geriatrics 6
27 Hu et al. (41) 2005-2014 2016 China WPR ND 300/300 Clinical samples ND 6
28 Hu et al. (42) 2010-2011 2014 China WPR ND 83/83 Clinical samples Hospitalized patients 6
29 Hu et al. (43) 2005-2014 2018 China WPR ND 300/300 Clinical samples Hospitalized patients 6
30 Ismail et al. (44) 2011-2012 2017 Malaysia WPR ND 84/84 Clinical samples ND 6
31 Jean et al. (45) 2013-2014 2017 Taiwan WPR ND 39/799 Clinical samples Hospitalized patients 6
32 Kanamori et al. (46) 2009-2010 2015 Japan WPR ND 181/181 Clinical samples Hospitalized patients, community patients 6
33 Liaw et al. (47) 2002-2003 2010 Taiwan WPR ND 30/70 Sputum (30) Sputum, wound, central venous catheter, urine, blood, cerebrospinal fluid, eye 7
34 Liu et al. (48) 2008-2013 2016 Taiwan WPR Retrospective 50/378 Blood (50) Bloodstream infection (BSI) 7
35 Lan et al. (49) 2011-2013 2017 Vietnam WPR ND 11/1017 Blood (11) BSI 7
36 Neela et al. (50) 2008 2012 Malaysia WPR ND 64/64 Tracheal aspirate (25), peritoneal fluid (1), bronchoalveolar lavage (1) ICU, neurology, psychiatric, dermatology wards 6
37 Ning et al. (51) 2007-2011 2013 China WPR ND 17/127 Sputum (17) Patients with VAP in a pediatric ICU 6
38 Rhee et al. (52) 2007-2011 2013 South Korea WPR ND 121/121 Clinical samples ND 6
39 Shi et al. (53) 2003-2006 2009 China WPR Cross-sectional 48/323 Blood (48) Hospitalized (liver transplant) 7
40 Sun et al. (54) 2006-2012 2016 China WPR Cross-sectional 51/51 Pus (7), intravascular catheter (7), postoperative and burn wound (7), bronchial secretions/lavage (6), urinary catheter (6), urine (5), sputum (4), bile (4), blood (3), ascitic fluid (2) Hospitalized patients with invasive infections 6
41 Tan et al. (55) 2004 2006 Singapore WPR Cross-sectional 17/ 102 Clinical samples ND 7
42 Tanimoto et al. (56) 2005 2013 Japan WPR ND 66/66 Clinical samples ND 6
43 Wang et al. (57) 1998 2000 China WPR Cross-sectional 50/440 Clinical samples ND 7
44 Wang et al. (58) 1999-2003 2004 Taiwan WPR Cross-sectional 50/50 Blood (50) Hospitalized patients (bacteremia) 6
45 Wei et al. (59) 2013 2016 China WPR Cross-sectional 80/80 Respiratory tract specimens (63), catheter-related specimens (10), urine (4), blood (3) ND 6
46 Wu et al. (60) 1998-2008 2012 Taiwan WPR Cross-sectional 377/377 Respiratory tract (256), blood (48), others (73) Hospitalized (ICU)/outpatient patients (60) 6
47 Watanabe et al. (61) 1994-2011 2014 Australia WPR Comparative analysis 40/40 Clinical samples ND 6
48 Xu et al. (62) 2005-2008 2010 China WPR ND 12/258 Clinical samples Neonate patients (NICU) 7
49 Yuk-Fong Liu et al. (63) 1993-1994 1995 Taiwan WPR ND 28/366 Clinical samples Hospitalized patients (ICU) 7
50 Zhao et al. (64) 2015 2017 China WPR Cross-sectional 400/400 Sputum (315), throat swab (30), urine (25), secretions (15), bile (10), blood (5) Hospitalized patients 5
51 Zhao et al. (65) 2012-2014 2016 China WPR Cross-sectional 450/450 Clinical samples Hospitalized patients 6
52 Zhao et al. (66) 2012-2015 2018 China WPR Cross-sectional 450/450 Respiratory tract specimens (450) Hospitalized patients 6
53 Zhang et al. (67) ND 2012 China WPR Cross-sectional 442/442 Clinical samples ND 6
54 Chawla et al. (68) 2009-2011 2013 India South-East Asia Region (SEAR) Retrospective 15/33 Respiratory samples (15) Respiratory tract infection 7
55 Chawla et al. (69) 2012-2013 2014 India SEAR Retrospective 33/33 Sputum (17), endotracheal aspirates (16) Patients with lower respiratory tract infection (LRTI) 6
56 Garg et al. (70) 2014-2016 2019 India SEAR ND 5/3414 Clinical samples ND 5
57 Gunasekar et al. (71) 2017 2018 India SEAR ND 12/240 ND ND 7
58 Kaur et al. (72) 2012-2013 2015 India SEAR ND 106/106 Clinical samples Hospitalized patients 6
59 Nayyar et al. (73) 2015-2016 2017 India SEAR Retrospective 23/2734 Blood (15), urine (4), tracheal aspirate (4) Pediatric patients 6
60 Paopradit et al. (74) 2014-2015 2017 Thailand SEAR ND 64/64 Sputum (36), blood (9), tissue (6), pus (1), urine (1), body fluid (9), bronchial wash (2) Patients on the ICU, respiratory care unit (RCU), medicine (MED), surgical, pediatric, emergency room, eye wards 6
61 Tantisiriwat et al. (75) 2014-2015 2017 Thailand SEAR Cross-sectional 33/ 1288 Sputum, urine, pus, blood ND 6
62 Averbuch et al. (76) 2001-2014 2017 Israel European Region (EUR) Retrospective 10/116 Blood (10) Hospitalized children (malignancies and solid tumors) 7
63 Averbuch et al. (77) 2014-2015 2017 Israel EUR Non-interventional prospective 31/704 Blood (31) Patients with hematopoietic stem cell transplant (HSCT) 7
64 Bousquet et al. (78) 2003-2010 2014 France EUR Retrospective 45/723 Blood (45) Hematological malignancies 5
65 Canton et al. (79) 1991- 1998 2002 Spain EUR ND 98/127 Respiratory secretion, Sputum Hospitalized patients (CF and non-CF) 5
66 Chen et al. (80) 1991 1993 UK, Ireland EUR ND 21/6724 Clinical materials except feces Hospitalized patients 6
67 De Dios Caballero et al. (81) 2013 2015 Spain EUR Prospective, multicenter, observational 49/339 Sputum (49) CF patients 7
68 Cikman et al. (82) 2006-2012 2016 Turkey EUR Retrospective 118/118 Tracheal aspirate (67), blood (17), sputum (10), wound (10), ear (3), CSF (2), paracentesis (2), pleural fluid (2), urine (2), puncture fluid (2), catheter (1) ND 5
69 Di Bonaventuraa et al. (83) 2001 2002 Italy EUR ND 19/223 Respiratory tract specimen, blood, urine, skin and wound swabs Neutropenic patients with hematological malignancies 6
70 Di Bonaventuraa et al. (84) ND 2004 Italy EUR ND 50/50 Clinical samples Neutropenic patients with hematological malignancies 6
71 Djordjevic et al. (85) 2009-2015 2017 Serbia EUR Cohort 38/850 Sputum, BAL, tracheal samples Medical-Surgical ICU/HAP and VAP 7
72 Esposito et al. (86) 2003-2014 2017 Italy EUR ND 91/91 Sputum samples (91) CF patients 5
73 Frank et al. (87) 1996-1997 2000 Germany EUR ND 52/52 Tracheal secretions, wound, blood, urine, biopsy, puncture fluid ND 6
74 Fadda et al. (88) 1997-1999 2004 Italy EUR ND 307/307 Respiratory tract samples (307) Hospitalized patients 6
75 Gajdacs et al. (2) 2008-2017 2019 Hungary EUR Retrospective 579/579 Tracheal aspirates, sputum, BAL, pleural and pericardial puncture Septicemia, hematological malignancies and solid tumors, pneumonia, pleuritis, CF, meningitis, etc. 4
76 Galani et al. (89) 2004-2006 2008 Greece EUR ND 36/778 Clinical samples ND 6
77 Garcia-Rodriguez et al. (90) 1992 1995 Spain EUR ND 21/2426 Clinical samples ND 6
78 Garcia-Rodriguez et al. (91) 1991 1989 Spain EUR ND 42/42 Clinical samples ND 5
79 Garcia-Rodriguez et al. (92) ND 1991 Spain EUR ND 18/18 Clinical samples ND 5
80 Gesu et al. (93) 2000 2003 Italy EUR ND 124/4003 Clinical samples ND 6
81 Glupczynski et al. (94) 1996-1997 2001 Belgium EUR ND 73/73 Clinical samples ICU patients 6
82 Glupczynski et al. (94) 1998-1999 2001 Belgium EUR ND 48/48 Clinical samples ICU patients 6
83 Gómez-Garces et al. (95) 1996-2006 2009 Spain EUR ND 80/228 Clinical samples ND 7
84 Goncalves-Vidigal et al. (96) 2009-2011 2011 Germany EUR ND 65/65 Sputum (65) CF patients 6
85 Gordon et al. (97) ND 2010 UK EUR ND 13/13 Sputum, blood ND 4
86 Gospodarek et al. (98) 1994-1995 1997 Poland EUR ND 27/27 Wound smears, pus, intubation tube Intensive therapy, urologic, neurology, surgery 5
87 Gramegna et al. (99) 2001-2010 2018 UK EUR ND 34/193 Sputum (34) CF patients 7
88 Grillon et al. (100) ND 2016 France EUR ND 40/120 Clinical samples ND 7
89 Grohs et al. (101) ND 2017 France EUR ND 12/58 Respiratory samples (12) CF patients 7
90 Guembe et al. (102) 2003-2007 2008 Spain EUR ND 7/572 Wound, abscesses Patients with intra-abdominal infection 7
91 Gulmez et al. (103) 2005 2010 Turkey EUR ND 25/25 Clinical samples Hospitalized patients 5
92 Gulmez et al. (104) 1998-2003 2005 Turkey EUR ND 205/205 Clinical samples Hospitalized patients 6
93 Guriz et al. (105) 1995-2005 2008 Turkey EUR ND 33/33 Blood (33) Hospital-acquired bacteremia 6
94 Hohl et al. (106) ND 1991 Switzerland EUR ND 33/33 Clinical samples ND 6
95 Hombach et al. (107) 2010-2011 2012 Germany EUR ND 160/3713 Clinical samples ND 7
96 Hoban et al. (108) 1997-1999 2001 16 European countries EUR ND 578/21464 Clinical samples ND 7
97 Juhász et al. (109) 2009-2011 2014 Hungary EUR ND 100/160 Clinical samples Hospitalized patients 7
98 Klietmann et al. (110) 1986-1989 1991 Germany EUR ND 234/130033 Clinical samples ND 7
99 Koseoglu et al. (111) 1998-2001 2014 Turkey EUR ND 40/40 Clinical samples Pediatric patients 6
100 Kucukates et al. (112) 2000-2002 2005 Turkey EUR ND 16/367 Clinical samples Hospitalized patients (coronary and surgical ICUs) 7
101 Lakatos et al. (113) 1993-2013 2014 Switzerland EUR ND 27/27 Blood (27) Bacteremia 4
102 Lanzafame et al. (114) ND 2005 Italy EUR ND 64/495 ND Patients hospitalized in intensive care, onco-hematological, surgical, burn and transplant units 7
103 Livermore et al. (115) 1991 and 2001 2003 UK, Ireland EUR ND 23/5031 Clinical samples Hospitalized patients 6
104 Livermore et al. (116) 2008-2012 2014 UK EUR ND 40/170 ND CF patients 7
105 Madi et al. (117) 2013-2015 2016 Serbia EUR Retrospective 88/88 Clinical samples CF, non-CF outpatients and inpatients 6
106 McKnight et al. (118) ND 2005 Ireland EUR ND 10/60 Sputum (10) CF patients 7
107 Micozzi et al. (119) 1987-1996 2000 Italy EUR Retrospective 26/26 Blood (26) Patients with hematologic malignancies (bacteremia) 5
108 Milne et al. (120) 2001-2010 2012 UK EUR ND 80/80 Respiratory samples (80) CF patients 6
109 Pasargiklian et al. (121) 1993 1996 Italy EUR ND 25/303 Broncho aspirate (25) ICU patients 7
110 Samonis et al. (122) 2005-2010 2012 Greece EUR Retrospective 68/81 Bronchial secretions/lavage (23), sputum (15), pus (8), blood (7), intravascular catheter tip (4), urine (4), ascitic fluid (3), bile (3), contact lenses (3), cornea (1), peritoneal dialysis fluid (1), throat swab (1), bone (1) Hospitalized/outpatient patients (5.9%) 7
111 Samonis et al. (123) 2008 2010 Greece EUR Retrospective 21/594 Blood, lower respiratory tract, pus, normally sterile fluids, central venous catheter tips, stool, ophthalmic specimens, upper respiratory tract, genital tract Hospitalized/outpatient patients (10.3%) 7
112 Schmitz et al. (124) 1997-1998 1999 Austria, Belgium, France, Germany, Greece, Italy, Netherlands, Poland, Portugal, Spain, Switzerland EUR Cross-sectional 106/9682 Blood, respiratory tract, wound, urine ND 7
113 Traub et al. (125) ND 1987 Germany EUR ND 14/14 Clinical samples ND 4
114 Traub et al. (126) 1986-1997 1998 Germany EUR ND 96/96 Clinical samples ICU patients 6
115 Tripodi et al. (127) ND 2001 Italy EUR ND 50/50 Clinical samples ND 6
116 Tunger et al. (128) 2003-2005 2007 Turkey EUR Retrospective 35/35 Blood (35) Hospitalized patients (bacteremia) 6
117 Usarek et al. (129) 2011-2014 2016 Poland EUR Retrospective 26/26 Blood (26) Hospitalized patients (blood infection) 4
118 Valenza et al. (130) 2006 2008 Germany EUR Cross-sectional 70/464 Sputum (70) CF patients 7
119 Adams-Sapper et al. (131) 2007-2009 2012 USA Region of the Americas (AMR) Cross-sectional 9/376 Blood (9) Hospitalized patients, outpatients, jail clinics (bloodstream infection) 6
120 Alcaraz et al. (132) 2004-2012 2018 Argentina AMR Cross-sectional 63/63 Respiratory specimens, blood, renal biopsy, peritoneal fluids, urine Non-CF patients exposed to invasive devices 5
121 Blondeau et al. (133) 1994-1995 1999 Canada AMR ND 31/1518 Clinical samples ND 7
122 Church et al. (134) 1999-2009 2012 Canada, USA AMR ND 90/90 Blood (62), lower respiratory tract specimen (19), peritoneal fluid (5), cerebrospinal fluid (4) Hospitalized patients (invasive infections) 6
123 Denisuik et al. (135) 2007-2016 2018 Canada AMR National surveillance 238/8130 Respiratory specimen, blood, wound, urine Patients with respiratory infections, urine, wound and BSIs. 7
124 Flamm et al. (136) 2015 2019 USA AMR ND 102/2254 Clinical samples ND 7
125 Flores-Treviño et al. (137) 2006-2013 2014 Mexico AMR ND 119/119 Respiratory tract, blood, wound ICU Patients 6
126 Forrester et al. (138) ND 2018 USA AMR ND 13/93 Respiratory specimens (13) CF patients 7
127 Fuchs et al. (139) 1994 1996 USA AMR ND 74/74 Clinical samples ND 6
128 Gerlach et al. (140) ND 1992 USA AMR ND 76/3416 Clinical samples ND 7
129 Herrera-Heredia et al. (141) 2007-2015 2017 Mexico AMR ND 196/196 Clinical samples ND 6
130 Hoban et al. (142) 1997-1999 2003 Canada, USA AMR ND 110/4536 Clinical samples ND 7
131 Isenberg et al. (143) 1996-1997 1999 USA AMR ND 20/60 Clinical samples ND 7
132 Jones et al. (144) 1995-1996 1997 USA AMR ND 18/270 Blood (18) Nosocomial BSI 7
133 Jones et al. (145) 1997 1999 Canada, USA, Latin America AMR ND 177/23000 Clinical samples ND 7
134 Karlowsky et al. (146) 2010-2012 2013 Canada AMR ND 174/9758 Clinical samples ND 7
135 Karlowsky et al. (147) 2009-2009 2011 Canada AMR ND 79/4546 Clinical samples ND 7
136 Karlowsky et al. (148) 2000-2000 2002 USA AMR ND 94/3099 Clinical samples ND 7
137 Krueger et al. (149) ND 2001 USA AMR ND 23/23 Urine, sputum, wound ND 5
138 Mutnick et al. (150) 2000-2001 2013 USA AMR ND 54/1992 ND Hospitalized patients in the oncology center (bloodstream, respiratory, urinary, skin and soft tissues infections) 7
139 Nicodemo et al. (151) 2000-2002 2004 Brazil AMR ND 70/70 Respiratory (47), urine (6), biopsy tissues (4), blood (3) and others (10) Hospitalized patients 6
140 Passerini De Rossi et al. (152) 2004-2008 2009 Argentina AMR ND 32/32 Clinical samples Patients with device-associated nosocomial infection 6
141 Poulos et al. (153) ND 1995 Canada, USA AMR ND 31/31 Clinical samples ND 5
142 Rizek et al. (154) ND 2015 Brazil AMR ND 48/153 Blood (48) ND 7
143 Rolston et al. (155) ND 2003 USA AMR Cross-sectional 40/924 Clinical samples Hospitalized patients (cancer patients) 7
144 Rolston et al. (156) ND 1997 USA AMR Cross-sectional 30/716 Clinical samples Hospitalized patients (cancer patients) 7
145 Rutter et al. (157) 2010-2014 2016 USA AMR Cross-sectional 45/542 Respiratory samples (45) Hospitalized patients (CF patients) 7
146 Sader et al. (158) 2015-2017 2018 USA AMR Cross-sectional 311/6091 Trans tracheal aspiration, bronchoalveolar lavage, protected brush samples, qualified sputum samples Hospitalized patients (pneumonia patients) 7
147 Sader et al. (159) ND 1993 USA AMR ND 10/853 Clinical samples Hospitalized patients (septicemia) 6
148 Sahm et al. (160) 1999 2001 USA AMR Cross-sectional 123/3368 Clinical samples ND 7
149 San Gabriel et al. (161) 1996- 2001 2004 USA AMR Cross-sectional 955/955 Respiratory samples (955) CF patients 6
150 Sattler et al. (162) 1992-1998 2000 USA AMR Retrospective 51/51 Blood (32), conjunctiva (3), urine (3), skin and soft tissue (3), surgical site or wound (3), paranasal sinus (3), other sites (4) ND 6
151 Travassos et al. (163) ND 2004 Brazil AMR ND 39/39 ND Hospitalized/outpatient patients (9) 6
152 Spierer et al. (164) 2000–2013 2018 USA AMR Retrospective 15/58 Corneal (15) Keratitis patients 7
153 Zhanel et al. (165) 2007-2009 2011 Canada AMR Cross-sectional 245/18538 Blood, urinary tract, respiratory tract, wound Inpatients and outpatients 7
154 Zhanel et al. (166) 2014–2015 2018 Canada AMR Cross-sectional 118/4637 Blood, urinary tract, respiratory tract, wound ND 7
155 Zhanel et al. (167) 2005-2006 2008 Canada AMR Cross-sectional 108/3931 Blood, urine, wound/tissue, respiratory tract Hospitalized patients (ICU) 7
156 Chow et al. (168) 2002 2006 China, Taiwan, Korea, Australia, Thailand, Malaysia, USA, Spain, Germany, Belgium, Italy, Mexico, Puerto Rico, Guatemala, Argentina, Ecuador, Venezuela Multiple regions Prospective 36/3134 ND Patients with intra-abdominal infections 7
157 Corlouer et al. (169) 2013-2014 2017 France, Spain, Tunisia Multiple regions Collection study 83/83 Sputum (16), tracheal aspiration (10), protected distal specimen (7), bronchoalveolar lavage (2), blood (18), urine (9), suppuration (8), central arterial/venous catheter (4), others (9) CF patients, solid cancer, hematological malignancy and organ transplant 5
158 Diez-Aguilar et al. (170) 2003-2016 2019 Netherlands, Ireland, Spain, USA, Australia Multiple regions Cross-sectional 106/286 Respiratory samples (106) CF patients 7
159 Farrell et al. (171) 2005-2010 2014 Europe, Israel, Turkey Multiple regions ND 420/60084 Clinical samples Hospitalized patients 7
160 Farrell et al. (172) 2003-2008 2010 Asia-pacific, Europe, Latin America, North America Multiple regions ND 1586/1586 Clinical samples Bloodstream and respiratory tract infections 6
161 Fedler et al. (173) 2004 2006 North America, Latin America, Europe Multiple regions ND 53/3537 Clinical samples Pediatric patients 7
162 Flamm et al. (174) 2013 2016 USA, Europe-Mediterranean, Latin America, Asia-pacific Multiple regions ND 464/464 Clinical samples ND 6
163 Frei et al. (175) ND 1994 USA, Canada, Brazil, Japan, Spain, Switzerland Multiple regions ND 61/61 Clinical samples ND 6
164 Fritsche et al. (176) 2000-2004 2005 Asia, Australia, Europe, North America, South America Multiple regions ND 57/10763 ND Patients with community-acquired respiratory tract infections 7
165 Gales et al. (2001b) 1997-1999 2001 Asia-pacific, Europe, Latin America, Canada, USA Multiple regions The SENTRY Antimicrobial Surveillance Program 842/70067 Blood, Respiratory, wound, urine BSIs (objective A), pneumonia in hospitalized patients (objective C), skin/soft-tissue infections (objective D), and urinary tract infections (objective E) 7
166 Gales et al. (177) 2001-2004 2006 Asia-pacific, Europe, Latin America, Canada, USA Multiple regions ND 1256/13808 Clinical samples ND 7
167 Gales et al. (178) 2002-2005 2008 Asia-pacific, Europe, Latin America, Canada, USA Multiple regions ND 763/763 Blood, respiratory tract samples ND 6
168 Hoban et al. (179) ND 1993 6 countries Multiple regions ND 61/6064 Clinical samples ND 7
169 Jones et al. (180) 1997-2001 2003 Asia-pacific, Europe, Latin America, US, Canada Multiple regions ND 1488/18569 Clinical samples ND 7
170 Liu et al. (181) 2003-2010 2012 Taiwan, Thailand, Vietnam, Philippines, Hong Kong, China, Malaysia, Singapore, South Korea, Australia, New zealand Multiple regions Prospective 204/20710 Tissue, wound, fluid obtained from paracentesis or percutaneous aspiration of abscesses Patients with intra-abdominal infections (IAI) 7
171 Renteria et al. (182) 2007-2012 2014 Egypt, Morocco, Mauritius, Namibia, South Africa, Tunisia, Israel, Jordan, Lebanon, Oman, Saudi Arabia Multiple regions ND 16/2245 Body fluids, stomach, large and small colon, rectum, liver, gall bladder, pancreas, other intra-abdominal organs Hospitalized patients 7
172 Sader et al. (183) 2011-2014 2016 Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Guatemala, Mexico, Panama, Peru, Venezuela Multiple regions Cross-sectional 141/13494 Clinical samples ND 7
173 Sader et al. (184) 2009–2012 2014 USA, Belgium, France, Germany, Greece, Ireland, Italy, Poland, Portugal, Spain, Sweden, UK, Turkey, Israel Multiple regions Cross-sectional 330/8201 Trans tracheal aspiration, bronchoalveolar lavage, protected brush samples, qualified sputum samples Hospitalized patients (Pneumonia patients) 7
174 Sader et al. (185) 2011 2013 USA, Canada, Belgium, Czech Republic, France, Germany, Greece, Ireland, Israel, Italy, Poland, Portugal, Romania, Russia, Slovakia, Slovenia, Spain, Sweden, Turkey, United Kingdom, Ukraine, Argentina, Brazil, Chile, Mexico, Australia, China, Hong Kong, India, Japan, Korea, Malaysia, New Zealand, Singapore, Taiwan, Thailand Multiple regions Cross-sectional 362/362 Clinical samples Hospitalized patients (BSI, respiratory tract infections, wound and skin infections) 7
175 Sader et al. (186) 2000–2004 2005 ND Multiple regions Cross-sectional 131/9093 Clinical samples Hospitalized patients (ICU) 7
176 Thomson et al. (187) ND 1999 USA, Czech Republic, Hungary, Spain, Sweden, the United Kingdom, Australia Multiple regions ND 16/296 ND ND 6
177 Toleman et al. (188) 1998–2003 2007 ND Multiple regions Cross-sectional 1744/1744 ND ND 6
178 Tsiodras et al. (189) 1993-1997 2000 USA, Switzerland Multiple regions Retrospective case series 69/1279 Clinical samples Hospitalized patients 7
179 Yamane et al. (190) 1992 1994 USA, Canada, Brazil, Japan, Switzerland, Spain Multiple regions Cross-sectional 61/889 Clinical samples ND 7

Characteristics of the studies that reported Stenotrophomonas maltophilia isolation in different parts of the world.

Overall, 179 studies conducted during the 31-year period between 1986 and 2017 were included. The articles had a wide geographical distribution, and the studies featured in them were carried out in different parts of the world. According to the World Health Organization's (WHO) regions, most studies were from the European Region (n = 57, 32%), followed by the West-Pacific Region (n = 39, 22%), the Region of the Americas (n = 37, 21%), the Eastern Mediterranean Region (n = 14, 8%), and the South-East Asian Region (n = 8, 4%). There was no independent study from the African Region. Twenty-four studies (13%) were conducted across different continents and were, therefore, classified as multiple region studies and did not conform to the WHO categories (Table 1).

The studies had very different sample sizes, ranging from 10 to 130,033. A total of 580,963 samples were examined, of which 25,596 were positive for S. maltophilia. Of the 179 studies, only 58 reported the types and details of examined specimens (5,106 samples). The most frequent sources of S. maltophilia isolation were respiratory samples (n = 3,434, 67%) and blood (n = 1,223, 24%) (Table 1). The qualities of all the reviewed studies were evaluated using the JBI critical appraisal checklist. Of the 95 studies included in the meta-analysis, 78 (82%) scored seven, 16 (17%) scored six, and one (1%) scored five. Therefore, all the studies enrolled in the meta-analysis had a high-quality score (a score of five or more) (Table 1).

Prevalence of Stenotrophomonas maltophilia by WHO regional offices

Based on the meta-analysis, the pooled prevalence rate of global S. maltophilia infection was estimated to be 5.3 % [95% CI, 4.1–6.7%] (Table 2 and Figure 2). Egger's test did not demonstrate publication bias (P > 0.05). However, Begg's test showed evidence of publication bias in the 95 analyzed studies (P = 0.017). Additionally, the corresponding funnel plot indicated publication bias (Supplementary File 1). Results demonstrated high heterogeneity (I2= 99.428%; P = 0.000) among the selected studies (Table 2).

Table 2

No. of studies Prevalence of S. maltophilia isolation [95% CI] N/total Heterogeneity test, I2 Heterogeneity test, P-value Begg's test Egger's test
Overall 95 5.3 [4.1–6.7] 11557/561463 99.428 0.000 0.017 0.367

Meta-analysis of the global prevalence rate of Stenotrophomonas maltophilia isolation from clinical samples.

Figure 2

Figure 2

Forest plot diagram of the global prevalence rate of S. maltophilia isolation from clinical samples. The middle point of each line indicates the prevalence rate, and the length of the line indicates the 95% confidence interval of each study.

Subgroup meta-analysis based on the publication period of the studies (from 1991 to 2019) revealed that the prevalence rate of S. maltophilia isolation had an increasing trend over time, from 1.7% [95% CI, 0.7–4%] between 1991 and 1995 to 6.5% [95% CI, 4.1–10.1%] between 2016 and 2019. The highest prevalence rate [7.7%; 95% CI, 4.3–13.4 %] was observed between 2011 and 2015 (See Figure 3 and Table 3) (Supplementary File 1).

Figure 3

Figure 3

The global prevalence of S. maltophilia isolation based on the publication time of studies.

Table 3

Subgroups No. of studies Prevalence of S. maltophilia isolation [95% CI] N/total Heterogeneity test, I2 Heterogeneity test, P-value Begg's test Egger's test
Time of publication 1991-1995 13 1.7 [0.7–4.0] 696/157899 99.155 0.000 0.502 0.036
1996-2000 11 4.5 [2.2–8.8] 569/38696 98.493 0.000 0.119 0.003
2001-2005 17 4.4 [2.7–7.1] 4159/156226 99.525 0.000 0.232 0.983
2006-2010 13 7.4 [4.5–12.1] 1834/28534 98.529 0.000 0.951 0.620
2011-2015 20 7.7 [4.3–13.4] 2465/135819 99.517 0.000 0.047 0.011
2016-2019 20 6.5 [4.1–10.1] 1383/43283 98.555 0.000 0.381 0.157
World regions Asia (Total) 27 7.1 [4.6–10.7] 1879/27322 98.71 0.000 0.738 0.025
Asia (EMR)* 10 4.7 [2.6–8.6] 653/12929 98.146 0.000 0.858 0.035
Asia (SEAR) 4 5.2 [1.1–20.9] 83/4295 97.709 0.000 0.308 0.237
Asia (WPR) 13 10.5 [5.7–18.6] 1143/10098 98.823 0.000 0.760 0.301
EUR 29 7.9 [4.3–14] 2173/190229 99.453 0.000 0.586 0.008
AMR 26 4.3 [3.2–5.7] 2593/105324 98 0.000 0.0325 0.0148

Subgroup meta-analysis of the global prevalence rate of Stenotrophomonas maltophilia isolation from clinical samples.

*EMR, Eastern Mediterranean Region; SEAR, South-East Asia Region; WPR, Western Pacific Region; EUR, European Region; AMR, Regions of the Americas.

Subgroup meta-analysis based on the world regions defined by WHO revealed that the highest prevalence of S. maltophilia infections occurred in the Western Pacific Region [10.5%; 95% CI, 5.7–18.6%] and the European Region [7.9%; 95% CI, 4.3–14%]. The lowest prevalence occurred in the Region of the Americas [4.3%; 95% CI, 3.2–5.7%] (see Table 3 and Figure 4).

Figure 4

Figure 4

Prevalence of S. maltophilia isolated from clinical samples, by WHO regions.

Evaluation of the regional prevalence of S. maltophilia isolation based on the publication time of studies (from 1991 to 2019) showed an overall increasing trend. In the Western Pacific Region, the prevalence rate of S. maltophilia decreased from 2006 to 2010; however, the prevalence rates in the European Region and the Regions of America increased after this time interval (Figure 5 and Supplementary File 1).

Figure 5

Figure 5

The regional prevalence of S. maltophilia isolation based on the publication time of studies.

The antibiotic resistance rate of Stenotrophomonas maltophilia

The susceptibility of S. maltophilia isolates to various antibiotics was determined using various methods, including broth micro-dilution, broth macro-dilution, agar dilution, disk agar diffusion (DAD), E-test, and automated methods (e.g., VITEK, Phoenix, and micro-scan systems). Broth micro-dilution was the most frequently used assay. The standards used for interpreting the results of susceptibility assays varied, with different breakpoints used, such as those of the Clinical and Laboratory Standards Institute (CLSI), National Committee for Clinical Laboratory Standards (NCCLS), European Committee on Antimicrobial Susceptibility Testing (EUCAST), U.S. Food and Drug Administration (FDA), British Society for Antimicrobial Chemotherapy (BSAC), TRUST, and Comité de l'Antibiogramme de la Société Française de Microbiologie (CA-SFM) (Supplementary File 2).

As shown in Table 4, the highest resistance rates of S. maltophilia isolates were to cefuroxime [99.1%; 95% CI, 97.3–99.7%], cefoxitin [96.5%; 95% CI, 80.9–99.4%], ampicillin [96.1%; 95% CI, 92.8–97.9%], imipenem [94.9%; 95% CI, 92.3–96.7%], and meropenem [93.3%; 95% CI, 87.2–96.6%], while the lowest resistance rates were to doxycycline [5.7%; 95% CI, 3.3–9.7%] and minocycline [4.8%; 95% CI, 2.6–8.8%].

Table 4

Antibiotic No. of studies Antibiotic resistance rate [95% CI] N/total Heterogeneity test, I2 Heterogeneity test, P-value Begg's test Egger's test
Penicillins
Ampicillin 6 96.1 [92.8–97.9] 358/367 41.721 0.127 1.000 0.509
Ticarcillin 14 67.6 [53.5–79.1] 1126/1616 93.177 0.000 1.000 0.982
Piperacillin 29 72.5 [64.1–79.5] 2167/3108 93.636 0.000 0.652 0.251
Cephalosporins
Ceftazidime 120 53.7 [49.8–57.5] 8445/17526 94.850 0.000 0.561 0.005
Cefoprazone 6 53 [29.6–75.2] 248/747 96.172 0.000 0.707 0.141
Cefepime 39 59.5 [50.7–67.8] 2310/4120 95.313 0.000 0.260 0.414
Cefoxitin 8 96.5 [80.9–99.4] 263/276 84.133 0.000 0.107 0.010
Cefotaxime 19 89.5 [77.8–95.4] 1093/1546 95.747 0.000 0.401 0.018
Ceftriaxone 24 91.2 [83.3–95.5] 1253/1588 91.399 0.000 0.172 0.051
Cefuroxime 6 99.1 [97.3–99.7] 528/529 0.000 0.796 0.132 0.663
β-lactam/β-lactamase inhibitor
Amoxicillin/clavulanate 10 91 [73.5–97.4] 562/621 90.444 0.000 0.858 0.141
Ampicillin/sulbactam 4 91.7 [15.2–99.9] 128/372 93.917 0.000 1.000 0.004
Ticarcillin/clavulanate 54 33.2 [27.7–39.2] 3406/12314 96.699 0.000 0.665 0.137
Cefoprazone/sulbactam 7 30.7 [16.7–49.5] 165/936 92.308 0.000 0.229 0.040
Piperacillin/tazobactam 49 62.9 [55.6–69.6] 3135/5195 94.150 0.000 0.869 0.568
Carbapenems
Meropenem 39 93.3 [87.2–96.6] 2574/3149 95.578 0.000 0.004 0.00024
Imipenem 64 94.9 [92.3–96.7] 4399/5203 92.250 0.000 0.013 0.000
Monobactams
Aztreonam 24 84.1 [68.8–92.7] 1457/2662 97.164 0.000 0.711 0.038
Aminoglycosides
Amikacin 59 69.8 [63.2–75.7] 3874/5783 94.439 0.000 0.432 0.483
Gentamicin 53 73.4 [66.4–79.3] 3077/4256 92.875 0.000 0.240 0.993
Tobramycin 26 81 [74.5–86.2] 1921/2483 88.506 0.000 0.122 0.179
Netilmicin 8 73.2 [46.2–89.7] 353/490 94.806 0.000 0.265 0.443
Fluoroquinolones
Ciprofloxacin 100 47.6 [42.6–52.5] 4888/9660 93.837 0.000 0.114 0.628
Levofloxacin 72 19.7 [16.4–23.4] 2250/14141 94.656 0.000 0.046 0.607
Moxifloxacin 12 17.5 [9.8–29.2] 218/1858 93.896 0.000 0.890 0.224
Ofloxacin 16 29.9 [22.1–39] 546/1697 89.733 0.000 0.558 0.241
Gatifloxacin 7 10.9 [5.9–19.4] 220/2809 94.490 0.000 1.000 0.487
Norfloxacin 9 66.9 [45.3–83.1] 324/458 90.688 0.000 0.465 0.349
Trovafloxacin 6 16.3 [5.9–37.7] 153/1190 95.506 0.000 0.707 0.748
Tetracyclines
Tetracycline 13 58.6 [45.2–70.8] 1398/2432 95.208 0.000 0.450 0.987
Doxycycline 10 5.7 [3.3–9.7] 189/2312 88.180 0.000 0.283 0.112
Minocycline 18 4.8 [2.6–8.8] 172/3018 91.488 0.000 0.288 0.00040
Tigecycline 18 11.8 [7–19.1] 474/3849 95.745 0.000 0.404 0.317
Chloramphenicol 29 46.9 [37.2–56.9] 2507/5223 97.284 0.000 0.735 0.719
Polymyxins
Colistin 19 48.4 [31.6–65.5] 911/1768 95.839 0.000 1.000 0.213
High-dose colistin 5 27.3 [10.8–53.7] 488/1826 96.376 0.000 0.806 0.386
Polymyxin B 8 18 [11.8–26.5] 819/3896 94.518 0.000 1.000 0.411
Sulfonamides
Trimethoprim/ sulfamethoxazole 93 14.7 [11.7–18.3] 2968/20084 96.824 0.000 0.611 0.010
Phosphonic antibiotics
Fosfomycin 6 32.3 [12.4–61.7] 223/818 97.308 0.000 1.000 0.759

Total antibiotic resistance rates of Stenotrophomonas maltophilia strains in the world.

A comparison of antibiotic resistance rates of S. maltophilia before and after 2010 (Figure 6) revealed an increasing trend for some antibiotics, such as chloramphenicol (12.3%), TMP/SMX (11.6%), ceftazidime (8.6%), and levofloxacin (1.8%). Conversely, the resistance rate against minocycline (2.2%) decreased.

Figure 6

Figure 6

Comparison of the global antibiotic resistance rates of S. maltophilia before and after 2010 (SXT, trimethoprim-sulfamethoxazole; MNO, minocycline; LEV, levofloxacin; C, chloramphenicol; CAZ, ceftazidime; CIP, ciprofloxacin; TGC, tigecycline; CS, colistin; TTC, ticarcillin-clavulanic acid; FEP, cefepime; MRP, meropenem; IMI, imipenem; AK, amikacin; GN, gentamicin; TZP, piperacillin-tazobactam; CTX, cefotaxime).

The results of the subgroup meta-analysis based on the world regions and antibiotic resistance rates, presented in Figures 79, as well as in Supplementary File 1, showed that the highest resistance rate across all regions was to ceftazidime, while the lowest rate was to minocycline.

Figure 7

Figure 7

Prevalence of trimethoprim/sulfamethoxazole resistance in S. maltophilia isolated from clinical samples, by WHO regions.

Figure 8

Figure 8

Prevalence of levofloxacin resistance in S. maltophilia isolated from clinical samples, by WHO regions.

Figure 9

Figure 9

Prevalence of minocycline resistance in S. maltophilia isolated from clinical samples, by WHO regions.

Discussion

Although S. maltophilia shows limited invasiveness in immunocompetent individuals, it can lead to severe infections in immunocompromised patients. Moreover, its high intrinsic resistance to a large number of antimicrobial agents results in treatment failure and mortality in patients infected by this microorganism (191194). Thus, the undertaking of a first systematic review and meta-analysis addressing the prevalence rate of isolation and antibiotic resistance rates of S. maltophilia in different regions of the world may be of great value in managing infections caused by this bacterium.

Based on the present meta-analysis, most studies were reported from the European Region (n = 57, 32%), while in a similar investigation (12), the majority of cases were reported and managed in the United States of America (n = 72, 27.7%). The differences between the inclusion and exclusion criteria applied in these two studies may explain the differing results. In the current study, the global prevalence rate of S. maltophilia isolation from clinical samples was 5.3%, and according to the WHO classification, the highest prevalence rate of S. maltophilia isolation was observed in the Western Pacific Region (10.5%), followed by the European Region (7.9%), which may be due to their long-shared land border. Among the reasons for the discrepancies in the prevalence of Stenotrophomonas maltophilia infection in different world regions, we can mention the following: disparate health policies in each country affect the importance of pathogens, so, in some countries, Stenotrophomonas maltophilia is still considered an unimportant opportunistic pathogen, so few studies have been reported. For example, most of the cases were documented in European (195), Asian (86), and American (196) countries, while there was no relevant study performed in the African continent. This difference can cause publication bias and affect the overall results. Additionally, the differences in health levels of various countries and the numbers and types of examined patients all influence the reported prevalence of Stenotrophomonas maltophilia.

In this meta-analysis, among different clinical samples, respiratory samples were the most frequent source (67%), followed by blood samples (24%). This finding is consistent with other studies, in which S. maltophilia was most commonly associated with respiratory tract infections, followed by bloodstream infections (74, 197). However, in another systematic review, blood was the most prevalent site of S. maltophilia isolation (12). In a large study performed in the USA and fifteen centers in European countries in 2012, 6.3% of the isolates obtained from respiratory tract infections were identified as S. maltophilia. These data suggest that the rate of respiratory tract infections caused by S. maltophilia is increasing (3, 198). The bacterium's capability for adherence to plastic surfaces and biofilm formation on hospital devices, such as those inserted into the respiratory tract, may explain its high rate in the aforementioned samples (199, 200). For example, among patients with ventilator-associated pneumonia (VAP), the most common nosocomial infection in mechanically ventilated patients, S. maltophilia is the probable causative pathogen (196, 201). Moreover, its adaptation to the airways of individuals with cystic fibrosis (CF) has led it to being recognized as an emerging multi-drug resistant opportunistic pathogen (86).

The prevalence rate of infections caused by this bacterium increased from 1.7% to 6.5% during the 31 investigated years, suggesting that it is emerging as an opportunistic pathogen, particularly among immunocompromised hosts. This rapid rise may be due to its resistance to a wide range of antimicrobial agents, as well as the increased focus on this bacterium as a cause of infection. The treatment of S. maltophilia infections is challenging due to the difficulty of differentiating colonization from infection and the intrinsic resistance of this bacterium to multiple classes of antibiotics. The WHO has classified S. maltophilia as one of the leading multidrug-resistant organisms in hospital settings (202). Additionally, recent antibiotic treatment and other known factors associated with acquiring S. maltophilia infections demonstrate specific features of this bacterium (195).

Based on our data, the highest and the lowest global resistant rates were to cefuroxime and minocycline, respectively (Figure 3). The lowest resistance to TMP-SMX was observed in the EMR (4.5%) and AMR (13.1%), while in other geographical regions, resistance was higher than 20%. Consequently, TMP-SMX may be the first choice for treatment based on antibiotic susceptibility and therapeutic success (3, 60, 203). Fortunately, in the present study, a comparison of global antibiotic resistance rates of S. maltophilia before and after 2010 (Figure 4) confirmed the effectiveness of this medication for treating infections of this opportunistic organism. However, there is not always a logical correlation between laboratory sensitivity and clinical results. Other antibiotics for treating Stenotrophomonas infections include fluoroquinolones, tetracyclines, and selected β-lactams, such as ceftazidime and ticarcillin/clavulanate. However, the development of resistance to some of these antibiotics renders them unreliable.

Fluoroquinolones are prescribed for treating infections caused by TMP-SMX-resistant S. maltophilia and for patients for whom this drug has adverse effects. Studies comparing treatments with fluoroquinolones and TMP-SMX have proposed that levofloxacin has similar effectiveness with fewer adverse effects than TMP-SMX (204, 205). Our study indicates that resistance rates to levofloxacin vary geographically, ranging from 6.4% in EMR to 15%−22% in EUR, AMR, and WPR, and up to 26% in SEAR. However, the rapid emergence of resistance against quinolones in vitro and in vivo is of concern when levofloxacin is used to treat S. maltophilia infections.

In surveillance studies of the efficacy of tigecycline and related tetracycline antibiotics, minocycline was found to be effective against S. maltophilia (206). In this study, resistance to minocycline was <10% in all geographical areas and global resistance to tigecycline was 11.8%. A comparison of the antibiotic resistance rates of S. maltophilia before and after 2010 revealed an increase in resistance to tigecycline from 4.1% to 18.6%. Several studies have revealed that minocycline is not inferior to TMP-SMX and may even be more suitable than TMP-SMX in terms of susceptibility. These results suggest that minocycline and TMP-SMX may be the first-line therapy in S. maltophilia infections, even in TMP-SMX-resistant strains (59).

Ceftazidime and ticarcillin/clavulanate have previously been reported as the most effective β-lactam drugs against S. maltophilia. However, reduced sensitivity to ceftazidime has been documented in recent studies. Owing to β-lactamase production, a high resistance rate to β-lactams such as cefuroxime, cefoxitin, imipenem, and meropenem (> 90%, Table 4) has been observed, thus reducing their role in the treatment of S. maltophilia infections (207). According to this analysis, ceftazidime has a high resistance rate in all regions classified by the WHO (AMR, 56.4%; EMR, 42.9%; SEAR, 65.1%; WPR, 52.6%). Our study suggests that the rate of resistance to ticarcillin/clavulanate globally is 33.2%. Therefore, these current resistance rates to ceftazidime and ticarcillin/clavulanate render them unreliable. However, the use of ceftazidime in combination with other antibiotics (typically vancomycin, amikacin, TMP-SMX, or fluoroquinolones) is an effective treatment for infections caused by S. maltophilia (13). A systemic literature review by Gibb and Wong (208) offers recommendations for a treatment strategy for Stenotrophomonas infection based on current evidence. The first-line drugs suggested are TMP-SMX, fluoroquinolones, and tetracyclines.

Our study presents several limitations. First, a large number of the included studies (84 articles) evaluated a specific number of S. maltophilia isolates but did not report the prevalence rate of isolation; thus, these studies were not included in the meta-analysis, which could affect the pooled prevalence rate of S. maltophilia isolation and the antibiotic resistance rates. Second, the number of published studies reporting the resistance mechanism of strains isolated from clinical samples (see Supplementary File 2) is relatively small, and the specific genes conferring antibiotic resistance in these isolates remain unclear. Third, a few studies used typing methods to evaluate S. maltophilia isolates (see Supplementary File 2), so we could not report the most prevalent types of this bacterium at the global and regional levels.

Conclusion

In conclusion, despite the undeniable clinical impact of S. maltophilia, compared with other Gram-negative species, this bacterium is remarkably understudied. Thus, collecting and analyzing data related to different aspects of S. maltophilia may assist in improving the clinical management of challenges caused by this bacterium. This meta-analysis presents the global antibiotic resistance of S. maltophilia over the last 31 years and demonstrates different rates of resistance in world geographical regions, as well as the growing trend of resistance to most antibiotics. The variations in antibiotic resistance of S. maltophilia isolates in different regions may be the result of the use of different protocols for patient treatment. Additionally, the improper and experimental use of antibiotics plays an important role in increasing resistance, leading to an increased risk of treatment failure. To address this issue, it is necessary to carry out antibiotic sensitivity tests before prescribing antibiotics and implementing an antimicrobial stewardship program for every hospital, as well as provide continuous training for clinicians about their performance in the hospital environment. Finally, collecting and preparing local sensitivity patterns will be effective in allowing the selection of the optimal empiric treatment for S. maltophilia infections.

Statements

Author contributions

MB contributed to the study design, data extraction, data analysis, design and production of figures, and wrote and revised the final manuscript. AS-M contributed to the study design, data extraction, data analysis, and writing of the manuscript. GB contributed to the data analysis and statistical analysis, designed and produced figures, and writing of the manuscript. EE contributed to the study design, data extraction, and writing of the manuscript. LJ contributed to the study design and the writing and revision of the final manuscript. RB contributed to the study design, data analysis and interpretation, and the writing of the manuscript. ME designed the study, oversaw the analysis, and wrote and revised the final manuscript. FJ designed the study, was the arbiter for the study searches and data extraction, and wrote and revised the final manuscript. All authors contributed to the article and approved the submitted version.

Funding

This research was supported by the Tehran University of Medical Sciences and Health Services (97-01-30-38043).

Conflict of interest

The 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.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2023.1163439/full#supplementary-material

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Summary

Keywords

Stenotrophomonas maltophilia , prevalence, antibiotic resistance, global, meta-analysis

Citation

Banar M, Sattari-Maraji A, Bayatinejad G, Ebrahimi E, Jabalameli L, Beigverdi R, Emaneini M and Jabalameli F (2023) Global prevalence and antibiotic resistance in clinical isolates of Stenotrophomonas maltophilia: a systematic review and meta-analysis. Front. Med. 10:1163439. doi: 10.3389/fmed.2023.1163439

Received

10 February 2023

Accepted

14 April 2023

Published

05 May 2023

Volume

10 - 2023

Edited by

Asad U. Khan, Aligarh Muslim University, India

Reviewed by

Nayeem Ahmad, Arabian Gulf University, Bahrain; Shraddha Karve, Ashoka University, India

Updates

Copyright

*Correspondence: Fereshteh Jabalameli

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.

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