Clinical and Epidemiological Features and Antimicrobial Susceptibility Patterns of Chryseobacterium Species: A Scoping Review
Abstract
1. Introduction
2. Materials and Methods
3. Results
4. Discussion
4.1. Clinical and Epidemiological Features of Patients with Chryseobacterium Species Infections
4.1.1. Incidence of Infection
4.1.2. Sites of Isolation
4.1.3. Clinical Characteristics of Patients with Chryseobacterium Species Infections
4.1.4. Mortality of Patients with Chryseobacterium Species Infections
4.2. Antimicrobial Susceptibility Patterns
4.2.1. Antimicrobial Susceptibility Patterns of Chryseobacterium Species
4.2.2. Antimicrobial Susceptibility Patterns of Chryseobacterium indologenes
4.2.3. Antimicrobial Susceptibility Patterns of Chryseobacterium gleum
4.2.4. Analysis of the Relationship Between Antimicrobial Susceptibility Rate and Geographical Location, Antimicrobial Susceptibility Test Method, and Study Period
5. Limitations
6. Conclusions
7. Future Directions
Funding
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Author /Period | Confounding | Selection | Interventions Classification | Interventions Deviations | Missing Data | Measurement of Outcomes | Selective Results |
---|---|---|---|---|---|---|---|
Kirby JT/1997–2001 [4] | low risk | high risk | moderate risk | moderate risk | high risk | low risk | moderate risk |
Lin LN/2005–2017 [6] | low risk | low risk | moderate risk | moderate risk | low risk | low risk | low risk |
Lambiase A/2002–2006 [31] | moderate risk | moderate risk | high risk | high risk | high risk | serious risk | high risk |
Mirza HC/2012–2016 [32] | high risk | serious risk | high risk | high risk | serious risk | serious risk | high risk |
Koh MCY/2012–2024 [33] | high risk | serious risk | high risk | high risk | serious risk | serious risk | high risk |
Kaur H/2013–2013 [34] | serious risk | serious risk | serious risk | high risk | serious risk | serious risk | serious risk |
Yadav VS/2017–2019 [35] | serious risk | serious risk | serious risk | serious risk | serious risk | serious risk | serious risk |
Hsueh PR/1993–1995 [36] | moderate risk | moderate risk | high risk | high risk | high risk | serious risk | high risk |
Lin YT/2002–2008 [37] | serious risk | high risk | serious risk | serious risk | serious risk | serious risk | serious risk |
Chou DW/2004–2008 [38] | serious risk | Serious risk | high risk | serious | serious risk | serious risk | serious risk |
Chen FL/2004–2011 [39] | low risk | low risk | high risk | moderate risk | low risk | moderate risk | moderate risk |
Chang YC/2007–2011 [40] | high risk | moderate risk | moderate risk | moderate risk | moderate risk | moderate risk | moderate risk |
Deng L/2010–2013 [41] | high risk | high risk | high risk | high risk | high risk | high risk | high risk |
Zhang Y/2010–2018 [42] | low risk | low risk | low risk | moderate risk | low risk | low risk | low risk |
Jain V/2016–2016 [43] | high risk | high risk | high risk | moderate risk | high risk | high risk | high risk |
Lo HH/2007–2011 [44] | high risk | moderate risk | high risk | high risk | high risk | high risk | high risk |
(A) | ||||||||||
Author/Period | Country/No. | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
Lambiase A/2002–2006 [31] %* | Italy/30 | 45.5% | 45.5% | 45.5% | 100% | 0% | 4.6% | NA | 0% | 0% |
Lin LN/2005–2017 [6] * | Taiwan/126 | 19.8% | 18.3% | 32.5% | 47.6% | 0% | 0% | 73.0% | 13.5% | 17.5% |
Mirza HC/2012–2016 [32] & | Turkey/18 | 100% | 94.4% | 94.4% | 100% | 16.6% | 16.6% | NA | 100% | 100% |
Koh MCY/2012–2024 [33] & | Singapore/25 | 80% | NA | 77.3% | 95.7% | NA | NA | 100% | 25% | NA |
Kaur H/2013–2013 [34] % | India/19 | 5.27% | 0% | 0% | 73.6% $ | 0% | 5.27% | 100% | 0% | 0% |
Yadav VS/ 2017–2019 [35] % | India/20 | 45% | NA | NA | 33% $ | 33% | 33% | NA | NA | NA |
(B) | ||||||||||
Author/Period | Country | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
Lambiase A/2002–2006 [31] %* | Italy | 10/22 | 10/22 | 10/22 | 22/22 | 0/22 | 1/22 | NA | 0/22 | 0/22 |
Lin LN/2005–2017 [5] * | Taiwan | 25/126 | 23/126 | 41/126 | 60/126 | 0/126 | 0/126 | 92/126 | 17/126 | 22/126 |
Koh MCY/2012–2024 [33] & | Singapore | 12/15 | NA | 17/22 | 22/23 | NA | NA | 17/17 | 1/4 | NA |
Kaur H/2013–2013 [34] % | India | 1/19 | 0/19 | 0/19 | 14 $/19 | 0/19 | 1/19 | 19/19 | 0/19 | 0/19 |
Yadav VS /2017–2019 [35] % | India | 9/20 | NA | NA | 7 $/20 | 7/20 | 7/20 | NA | NA | NA |
pooled rate | 57/202 | 33/167 | 68/189 | 125/210 | 7/187 | 9/187 | 128/162 | 18/171 | 22/167 | |
percentage | 28.2% | 19.8% | 36.0% | 59.5% | 3.7% | 4.8% | 79.0% | 10.5% | 13.2% |
(A) | ||||||||||
Author/Period | Country/No. | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
Kirby JT/1997–2001 [4] * | World/20 | 90% | 85% | 100% | 95% | 15% | 10% | NA | 85% | 85% |
Hsueh PR/1993–1995 [36] # | Taiwan/36 | NA | 18% | NA | NA | 0% | NA | 74% | 42% | NA |
Lin YT/2002–2008 [37] % | Taiwan/16 | 50% | 43.7% | 62.5% | 75% | 0% | 0% | NA | 0% | 12.5% |
Chou DW/2004–2008 [38] * | Taiwan/10 | 20% | 30% | 30% | 100% | 10% | 0% | 100% | 0% | 0% |
Chen FL/2004–2011 [39] *% | Taiwan/177 | 29.3% | 31.6% | 34.4% | 87.5% | 3.9% | 8.4% | NA | 3.3% | 3.3% |
Lin JN/2005–2017 [6] * | Taiwan/84 | 13.1% | 16.7% | 19.0% | 42.9% | 0% | 0% | 67.9% | 8.3% | 16.7% |
Chang YC/2007–2011 [40] * | China/34 | 2.9% | 14.7% | NA | 52.9% | 0% | NA | 100% | 2.9% | 2.9% |
Deng L/2010–2013 [41] *% | China/23 | 26.0% | 4.34% | 8.69% | 73.9% | 8.69% | NA | 30.4% | NA | 13.0% |
Zhang Y/2010–2018 [42] * | China/135 | 37.0% | 12.6% | 14.8% | 97.8% | 0.7% | 0% | 98.5% | 6.7% | NA |
Mirza HC/2012–2016 [32] & | Turkey/16 | 100% | 100% | 100% | 100% | 18.8% | 18.8% | NA | 100% | 100% |
Jain V/2016–2016 [43] * | India/12 | 16.7% | 41.6% | 75.0% | 91.6% | NA% | 0% | NA | NA | 0% |
Yadav VS /2017–2019 [35] % | India/18 | 44.4% | 16.6% | NA | 33.3% $ | 33.3% | 38.8% | NA | 16.6% | NA |
(B) | ||||||||||
Author/ Period | Country | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
Hsueh PR/1993–1995 [36] # | Taiwan | NA | 6/36 | NA | NA | 0/36 | NA | 27/36 | 15/36 | NA |
Lin YT/2002–2008 [37] % | Taiwan | 8/16 | 7/16 | 10/16 | 12/16 | 0/16 | 0/16 | NA | 0/16 | 2/16 |
Chou DW/2004–2008 [38] * | Taiwan | 2/10 | 3/10 | 3/10 | 10/10 | 1/10 | 0/10 | 10/10 | 0/10 | 0/10 |
Chen FL/2004–2011 [39] *% | Taiwan | 52/177 | 56/177 | 61/177 | 155/177 | 7/177 | 15/177 | NA | 6/177 | 6/177 |
Lin JN/2005–2017 [5] * | Taiwan | 11/84 | 14/84 | 16/84 | 36/84 | 0/84 | 0/84 | 57/84 | 7/84 | 14/84 |
Chang YC/2007–2011 [40] * | China | 10/34 | 5/34 | NA | 18/34 | 0/34 | NA | 34/34 | 1/34 | 1/34 |
Deng L/2010–2013 [41] *% | China | 6/23 | 1/23 | 2/23 | 17/23 | 2/23 | NA | 7/23 | NA | 3/23 |
Zhang Y/2010–2018 [42] * | China | 50/135 | 17/135 | 20/135 | 132/135 | 1/135 | 0/135 | 133/135 | 9/135 | NA |
Jain V/2016–2016 [43] * | India | 2/12 | 5/12 | 9/12 | 11/12 | NA | 0/12 | NA | NA | 0/12 |
Yadav VS /2017–2019 [35] % | India | 8/18 | 3/18 | NA | 6 $/18 | 6/18 | 7/18 | NA | 3/18 | NA |
pooled rate | 149/509 | 117/545 | 121/457 | 397/509 | 17/533 | 22/452 | 268/322 | 41/510 | 26/356 | |
percentage | 29.3% | 21.5% | 26.5% | 78.0% | 3.2% | 4.9% | 83.2% | 8.09% | 7.3% |
(A) | ||||||||||
Author/Period | Country/No. | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
Lin JN/2005–2017 [6] * | Taiwan/42 | 33.3% | 21.4% | 59.5% | 57.1% | 2.4% | 0% | 83.3% | 23.8% | 19.0% |
Lo HH/2007–2011 [44] * | Taiwan/15 | 0% | 40.0% | NA | 93.3% | 0% | NA | 100% | 0% | 0% |
(B) | ||||||||||
Author/Period | Country | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
Lin JN/2005–2017 [5] * | Taiwan | 14/42 | 9/42 | 25/42 | 24/42 | 1/42 | 0/42 | 35/42 | 10/42 | 8/42 |
Lo HH/2007–2011 [44] * | Taiwan | 0/15 | 6/15 | NA | 14/15 | 0/15 | NA | 15/15 | 0/15 | 0/15 |
pooled rate | 14/57 | 15/57 | 25/42 | 38/57 | 1/57 | 0/42 | 50/57 | 10/57 | 8/57 | |
percentage | 24.6% | 26.3% | 59.5% | 66.7% | 1.8% | 0% | 87.7% | 17.5% | 14.0% |
(A) | |||||||||
Country | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
Italy [31] | 45.5% | 45.5% | 45.5% | 100% | 0% | 4.6% | NA | 0% | 0% |
Taiwan [5] | 19.8% | 18.3% | 32.5% | 47.6% | 0% | 0% | 73.0% | 13.5% | 17.5% |
Singapore [33] | 80% | NA | 77.3% | 95.7% | NA | NA | 100% | 25% | NA |
India [34,35] | 25.6% | 0% | 0% | 53.8% | 17.9% | 20.5% | 100% | 0% | 0% |
(B) | |||||||||
Country/No | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
Taiwan [6,36,37,38,39] | 25.4% | 26.6% | 31.4% | 74.2% | 2.5% | 5.2% | 72.3% | 8.7% | 7.7% |
China [40,41,42] | 34.4% | 12.0% | 13.9% | 87.0% | 1.6% | 0% | 90.6% | 5.9% | 7.0% |
India [35,43] | 33.3% | 26.7% | 75.0% | 56.7% | 33.3% | 23.3% | NA | 16.7% | 0% |
(A) | |||||||||
Method | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
E-test [33] | 80.0% | NA | 77.3% | 95.7% | NA | NA | 100% | 25.0% | NA |
Disc diffusion [34,35] | 25.6% | 0% | 0% | 53.8% | 17.9% | 20.5% | 100% | 0% | 0% |
Broth microdilution [5] | 19.8% | 18.3% | 32.5% | 47.6% | 0% | 0% | 73.0% | 13.5% | 17.5% |
(B) | |||||||||
Country | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
Agar dilution [36] | NA | 16.7% | NA | NA | 0% | NA | 75.0% | 41.7% | NA |
Disc diffusion [35,37] | 47.1% | 29.4% | 62.5% | 52.9% | 17.6% | 20.6% | NA | 8.8% | 12.5% |
Broth microdilution [5,38,40,42,43] | 27.3% | 16.0% | 19.9% | 75.3% | 0.8% | 0% | 89.0% | 6.5% | 10.7% |
(A) | |||||||||
Period | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
before 2010 [5,31] | 24.0% | 22.6% | 34.9% | 56.2% | 0% | 0.7% | 73.0% | 11.6% | 15.1% |
After 2010 [33,34,35] | 40.7% | 0% | 41.5% | 69.4% | 17.9% | 20.5% | 100% | 4.3% | 0% |
(B) | |||||||||
Period | TZP | CIP | LVX | SXT | IMI | MPM | MIN | CAZ | FEM |
Before 2000 [36] | NA | 16.7% | NA | NA | 0% | NA | 75.0% | 41.7% | NA |
2000-2010 [5,37,38,39,40] | 25.9% | 26.5% | 31.4% | 72.0% | 2.5% | 5.2% | 78.9% | 4.4% | 7.2% |
After 2010 [35,41,42,43] | 35.1% | 13.8% | 18.2% | 88.3% | 5.1% | 4.2% | 88.6% | 7.8% | 8.6% |
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© 2025 by the author. Published by MDPI on behalf of the Lithuanian University of Health Sciences. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Huang, C. Clinical and Epidemiological Features and Antimicrobial Susceptibility Patterns of Chryseobacterium Species: A Scoping Review. Medicina 2025, 61, 1197. https://doi.org/10.3390/medicina61071197
Huang C. Clinical and Epidemiological Features and Antimicrobial Susceptibility Patterns of Chryseobacterium Species: A Scoping Review. Medicina. 2025; 61(7):1197. https://doi.org/10.3390/medicina61071197
Chicago/Turabian StyleHuang, Chienhsiu. 2025. "Clinical and Epidemiological Features and Antimicrobial Susceptibility Patterns of Chryseobacterium Species: A Scoping Review" Medicina 61, no. 7: 1197. https://doi.org/10.3390/medicina61071197
APA StyleHuang, C. (2025). Clinical and Epidemiological Features and Antimicrobial Susceptibility Patterns of Chryseobacterium Species: A Scoping Review. Medicina, 61(7), 1197. https://doi.org/10.3390/medicina61071197