| Literature DB >> 35910824 |
Abstract
Introduction: Bartonella quintana is an anaerobic bacillus whose main target is the erythrocyte. This bacterium transmitted by the body louse notably infected the soldiers of the First World War from where the name of this disease: fever of the trenches. The 90s marked the return of this bacterial infection. B. quintana infection in the homeless was reported in the literature with a high incidence in these populations worldwide. This upsurge of cases justified this study for a better understanding of B. quintana infections.Entities:
Keywords: Bartonella quintana; infection; seroprevalence
Year: 2022 PMID: 35910824 PMCID: PMC9336607 DOI: 10.4103/jgid.jgid_220_21
Source DB: PubMed Journal: J Glob Infect Dis ISSN: 0974-777X
Figure 1Flow diagram of the search strategy
Bartonella quintana seroprevalence among different subpopulations by chronological order of publication
| Year | References | Countries | Subpopulations |
| IgG (%) | IgM (%) | Percentage |
|
|---|---|---|---|---|---|---|---|---|
| 1996 | [ | US | Patients | 192 | 20.3 | NA | 20.3 | <0.001 |
| Blood donors | 199 | 2 | NA | 2.0 | ||||
| 1996 | [ | US | Intravenous drug users | 630 | 10 | NA | 10 | |
| 1996 | [ | France | Homeless people | 221 | 1.8 | 0 | 1.8 | <0.05 |
| Blood donors | 250 | 0.0 | 0 | 0.0 | ||||
| Hospitalized homeless patients | 43 | 16.3 | 2.3 | 16.3 | <0.01 | |||
| Hospitalized patients | 57 | 0 | 0 | 0 | ||||
| 1996 | [ | France | Patients suspected cat scratch disease | 64 | 9.4 | NA | 9.4 | |
| 1998 | [ | Sweden | 61 | 0 | NA | 0 | ||
| 1998 | [ | Burundi | Sutama patients | 102 | 12.7 | NA | 12.7 | NA |
| Febrile refugees | 232 | 8.2 | NA | 8.2 | ||||
| 1999 | [ | France | Homeless patients | 71 | 29.6 | NA | 29.6 | <0.001 |
| Patients | 31 | 0.0 | NA | 0.0 | ||||
| Blood donors | 250 | 0.0 | NA | 0.0 | ||||
| 1999 | [ | Sweden | Patients | 109 | 2.8 | NA | 2.8 | NA |
| Blood donors | 100 | 0.0 | NA | 0.0 | ||||
| 1999 | [ | UK | Probable cat scratch disease | 565 | 13.1 | 1.4 | 13.8 | NA |
| Possible cat scratch disease | 48 | 8.3 | 2.1 | 10.4 | ||||
| Bacillary angiomatosis/peliosis | 37 | 5.4 | NA | 5.4 | ||||
| Blood culture-negative endocarditis | 66 | 15.2 | 7.6 | 16.7 | ||||
| Ophthalmic involvement | 17 | 17.6 | NA | 17.6 | ||||
| “Not appropriate” patients | 143 | 2.8 | NA | 2.8 | ||||
| “No details” patients | 124 | 9.7 | 1.6 | 10.5 | ||||
| Blood donors | 200 | 1.5 | 0 | 1.5 | ||||
| Healthy adult contact | 36 | 0 | 0 | 0 | ||||
| Toxoplasmosis | 16 | 0 | 0 | 0 | ||||
| Mumps virus | 13 | 0 | 7.7 | 7.7 | ||||
| 8 | 0 | 0 | 0 | |||||
| EBV | 11 | 0 | 9.1 | 9.1 | ||||
| Chlamydia spp. | 5 | 0 | 0 | 0 | ||||
| 1999 | [ | Peru | Inhabitants | 194 | 12.4 | NA | 12.4 | <0.05 |
| Peasants | 84 | 0 | NA | 0.0 | ||||
| 2001 | [ | US | Intravenous drug users | 204 | 2.0 | NA | 2.0 | |
| 2001 | [ | France | Homeless patients cutaneous parasitic | 57 | 54.4 | 5.3 | 54.4 | <0.001 |
| Blood donors | 53 | 1.9 | 0 | 1.9 | ||||
| 2001 | [ | Sweden | Elite orienteers | 1136 | 1.4 | NA | 1.4 | >0.05 |
| Blood donors | 322 | 0.3 | NA | 0.3 | ||||
| 2002 | [ | France | Homeless blood culture positive | 40 | 65.0 | NA | 65.0 | <0.05 |
| Homeless blood culture negative | 82 | 19.5 | NA | 19.5 | ||||
| 2002 | [ | Korea | Patients regional lymphadenopathy | 31 | 64.5 | NA | 64.5 | |
| 2002 | [ | US | Patients | 200 | 9.5 | NA | 9.5 | |
| 2003 | [ | France | Patients pericardial effusion | 204 | 0.5 | NA | 0.5 | >0.05 |
| Blood donors | 260 | 0.0 | NA | 0.0 | ||||
| 2003 | [ | Sweden | Autopsy of heroin addicts | 59 | 3.4 | NA | 3.4 | NA |
| Forensic autopsy | 44 | 0.0 | NA | 0.0 | ||||
| 2003 | [ | Greece | Blood donors | 500 | 15.0 | 0 | 15.0 | |
| 2003 | [ | Poland | Bartonellosis patients | 265 | 1.5 | 0.4 | 1.9 | |
| 2004 | [ | Denmark | Elite orienteers | 43 | 0.0 | 0 | 0 | NA |
| Blood donors | 159 | 0.0 | 0 | 0 | ||||
| Elite indoor sportsmen | 63 | 0.0 | 0 | 0 | ||||
| 2004 | [ | Jordan | Children patients | 482 | 4.1 | NA | 4.1 | |
| 2005 | [ | Brazil | Healthy individuals | 437 | 12.8 | NA | 12.8 | |
| 2005 | [ | Algeria | Suspected endocarditis | 61 | 11.5 | NA | 11.5 | |
| 2005 | [ | France | Blood culture-negative endocarditis | 346 | 15.3 | NA | 15.3 | |
| 2005 | [ | France | Homeless people | 930 | 7.5 | NA | 7.5 | <0.001 |
| Blood donors | 467 | 0.6 | NA | 0.6 | ||||
| 2005 | [ | Tunisia | Blood culture-negative endocarditis | 40 | 30.0 | NA | 30.0 | |
| 2005 | [ | Sweden | Blood donors | 498 | 0.2 | NA | 0.2 | |
| 2005 | [ | Greece | HIV patients | 253 | 5.9 | 0 | 5.9 | |
| 2006 | [ | Japan | Homeless people | 151 | 57.0 | 0 | 57.0 | <0.05 |
| Blood donors | 200 | 50.5 | 0 | 50.5 | ||||
| 2007 | [ | Poland | Homeless alcoholic | 29 | 6.9 | 3.4 | 6.9 | NA |
| Homeless intravenous drug users | 6 | 0.0 | 0 | 0.0 | ||||
| Blood donors | 50 | 0.0 | 0 | 0.0 | ||||
| 2008 | [ | Sweden | Homeless people | 48 | 4.2 | NA | 4.2 | NA |
| Blood donors | 61 | 1.6 | NA | 1.6 | ||||
| 2008 | [ | France | Uveitis | 1321 | 0.5 | NA | 0.5 | NA |
| Blood donors | 260 | 0.0 | NA | 0.0 | ||||
| 2008 | [ | Spain | HIV patients | 340 | 12.9 | NA | 12.9 | |
| 2011 | [ | Thailand | Febrile patients | 423 | 3.3 | NA | 3.3 | NA |
| Nonfebrile patients | 98 | 3.1 | NA | 3.1 | ||||
| 2011 | [ | Congo | Patients | 155 | 0.6 | NA | 0.6 | |
| 2012 | [ | Croatia | Lymphadenopathy patients | 268 | 8.6 | NA | 8.6 | |
| 2013 | [ | Poland | Patients suggesting | 663 | 0.0 | 0 | 0.0 | |
| 2014 | [ | France | Blood donors | 472 | 0.0 | NA | 0.0 | |
| 2015 | [ | Brazil | Blood donors | 500 | 32.0 | NA | 32.0 | |
| 2016 | [ | US | Adults | 197 | 0.0 | NA | 0.0 | |
| 2016 | [ | Austria | Hunters | 100 | 25.0 | NA | 25.0 | >0.05 |
| Blood donors | 100 | 27.0 | NA | 27.0 | ||||
| 2017 | [ | Colombia | Homeless people | 153 | 12.4 | NA | 12.4 | |
| 2017 | [ | Spain | Veterinarians | 89 | 11.2 | NA | 11.2 | |
| 2019 | [ | Poland | Musculoskeletal patients | 40 | 0.0 | 0 | 0 | >0.05 |
| Blood donors | 65 | 4.6 | 1.5 | 4.6 | ||||
| 2020 | [ | Spain | Sanitary workers | 97 | 16.5 | NA | 16.5 |
NA: Not applicated
Figure 2Seroprevalence diagram of healthy people
Figure 3Seroprevalence diagram of blood donors
Figure 4Seroprevalence diagram of homeless people
Figure 5Seroprevalence diagram of symptoms/diseases