| Literature DB >> 35592534 |
M Keikha1,2, M Karbalaei3.
Abstract
Background: Stroke is considered as one of the most important concerns in health care centers around the world. By definition there are two types of stroke including ischemic stroke and hemorrhagic stroke. Approximately three-quarters of stroke cases are ischemic strokes, which occur due to several risk factors such as hypertension, obesity, atherosclerosis, diabetes mellitus, osteoarthritis, and inflammatory responses. In recent years, infectious diseases have noticed as a new risk factor for ischemic stroke. Given the importance of the issue, some bacteria that cause chronic infections, especially Chlamydia pneumonia, Helicobacter pylori, Mycoplasma pneumonia, Mycobacterium tuberculosis, and Coxiella burnetii have been considered.Entities:
Keywords: Bacterial infection; Chlamydia pneumonia; Helicobacter pylori; Mycobacterium tuberculosis; Mycoplasma pneumonia; ischemic stroke; meta-analysis
Year: 2022 PMID: 35592534 PMCID: PMC9112101 DOI: 10.1016/j.nmni.2022.100980
Source DB: PubMed Journal: New Microbes New Infect ISSN: 2052-2975
Fig. 1The flowchart of included studies.
Characteristics of included studies
| First author | Year | Area | Age (in years) | Gender (F/M) | Case group (n) | Control group (n) | Microorganism type | Number of bacterial infections (n) | Diagnostic method | Ref | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| case | control | case | control | case | control | ||||||||
| Wincup | 1996 | UK | 54 | 53.5 | NA | NA | 137 | 136 | 93 | 78 | ELISA | [ | |
| Cook | 1998 | UK | 67.9 | 56.5 | 73/103 | 674/844 | 176 | 1518 | 81 | 280 | MIF | [ | |
| Rasura | 2000 | Italy | NA | NA | NA | NA | 101 | 101 | 26 | 8 | ELISA | [ | |
| Elkind | 2000 | USA | 68.5 | 68.5 | 47/42 | 47/42 | 89 | 89 | 72 | 74 | ELISA | [ | |
| Grau | 2001 | Germany | 62 | 59.5 | 36/73 | 27/55 | 109 | 82 | 57 | 34 | ELISA | [ | |
| Heuschmann | 2001 | Germany | 74.6 | 74.6 | 77/68 | 138/122 | 145 | 260 | 67 | 117 | ELISA | [ | |
| Ponzetto | 2002 | Italy | 56.7 | 57.4 | 22/58 | 88/232 | 80 | 320 | 64 | 190 | UBT | [ | |
| Pietroiusti | 2002 | Italy | 63.2 | 63.9 | 11/50 | 89/62 | 61 | 151 | 43 | 106 | PCR | [ | |
| Majka | 2002 | Germany | NA | NA | NA | NA | 80 | 80 | 69 | 54 | ELISA | [ | |
| Madre | 2002 | Spain | 70 | 70 | 46/45 | 53/59 | 91 | 112 | 40 | 34 | IFI | [ | |
| Tarnacka | 2002 | Poland | 74 | 66 | 91/88 | 66/56 | 179 | 122 | 6.00 (95% CI: 1.61-22.29) | ELISA | [ | ||
| Tanne | 2003 | Israel | 61 | 61 | 8/126 | 8/126 | 134 | 134 | 115 | 110 | ELISA | [ | |
| Muller | 2003 | Denmark | 69 | 45 | 84/109 | 125/243 | 193 | 368 | 20 | 29 | PCR | [ | |
| Kawamoto | 2003 | Japan | 75 | 74 | 17/23 | 48/37 | 40 | 85 | 29 | 52 | ELISA | [ | |
| Moayyedi | 2003 | UK | 70.5 | 70.2 | 228/239 | 227/161 | 467 | 388 | 274 | 206 | ELISA | [ | |
| Voorend | 2004 | Netherlands | 43.9 | 39.4 | 22/19 | 31/24 | 41 | 55 | 28 | 38 | ELISA | [ | |
| Ngeh | 2004 | UK | 80 | 80 | 59/41 | 57/25 | 100 | 82 | 95 | 82 | ELISA | [ | |
| Gabrielli | 2004 | Italy | 68 | 66 | 56/49 | 66/64 | 105 | 130 | 75 | 81 | ELISA | [ | |
| Anzini | 2004 | Italy | 34.6 | 36.5 | 60/81 | 90/102 | 141 | 192 | 2.9 (95% CI: 1.77-4.76) | ELISA | [ | ||
| Ngeh | 2005 | UK | NA | NA | 59/41 | 60/27 | 100 | 87 | 71 | 57 | ELISA | [ | |
| Masoud | 2005 | Iran | 64.3 | 61.7 | 43/48 | 40/40 | 91 | 80 | 59 | 36 | ELISA | [ | |
| Kongoji | 2005 | Japan | 63.5 | 62.7 | 7/6 | 2/5 | 13 | 7 | 5 | 0 | PCR | [ | |
| Wohlschlaeger | 2005 | Germany | 65.1 | 73.3 | 5/5 | 16/7 | 7 | 21 | 4 | 1 | PCR | [ | |
| Sawayama | 2005 | Japan | 71.5 | 69 | 22/40 | 95/48 | 62 | 143 | 9.68 (95% CI: 3.56–33.08) | UBT | [ | ||
| Johnsen | 2005 | Denmark | 60.4 | 60.5 | 99/155 | 99/155 | 254 | 254 | 1.28 (95% CI: 0.83–1.95) | ELISA | [ | ||
| Elkind | 2006 | USA | 72.3 | 72.3 | 125/121 | 219/38 | 246 | 474 | 156 | 257 | ELISA | [ | |
| Park | 2006 | Korea | 66.7 | 66.8 | 62/63 | 62/63 | 125 | 125 | 100 | 75 | ELISA | [ | |
| Njamnshi | 2006 | Cameroon | NA | NA | 64/0 | 64/0 | 64 | 64 | 41 | 35 | ELISA | [ | |
| Jozwiak | 2007 | Poland | 44 | 40 | 40/54 | 44/59 | 94 | 103 | 63 | 15 | ELISA | [ | |
| Ashtari | 2008 | Iran | 65.4 | 60.2 | 43/38 | 24/19 | 81 | 43 | 57 | 29 | ELISA | [ | |
| Lin | 2008 | Taiwan | 64.2 | 63.2 | 202/248 | 198/252 | 450 | 450 | 334 | 257 | ELISA | [ | |
| Bandaru | 2008 | India | 47.8 | 47.8 | 149/51 | 149/51 | 200 | 200 | 72 | 35 | ELISA | [ | |
| Bastiani | 2008 | Italy | 76.6 | 76.5 | 51/55 | 51/55 | 106 | 106 | 67 | 57 | UBT | [ | |
| Bandaru | 2009 | India | 35.3 | 35.3 | 30/90 | 30/90 | 120 | 120 | 35 | 15 | ELISA | [ | |
| Gagliardi | 2009 | Brazil | NA | NA | 25/40 | 37/22 | 65 | 59 | 0 | 1 | PCR | [ | |
| Sheu | 2010 | Taiwan | 33.5 | 42.4 | 824/1459 | 2939/3910 | 2283 | 6849 | 136 | 256 | Culture | [ | |
| Mousavi | 2011 | Iran | 65.6 | 62.9 | 46/50 | 36/57 | 96 | 93 | 44 | 39 | ELISA | [ | |
| Rai | 2011 | India | 53.6 | 38.6 | 16/35 | 14/34 | 51 | 48 | 32 | 38 | ELISA | [ | |
| Ķēniņa | 2011 | Latvia | 65.8 | 64.3 | 41/61 | 22/26 | 102 | 48 | 64 | 17 | ELISA | [ | |
| Hasan | 2011 | Iraq | 58.02 | 56.1 | 18/32 | 18/22 | 50 | 40 | 36 | 21 | ELISA | [ | |
| Bandaru | 2012 | India | 74 | 71 | 30/70 | 32/68 | 100 | 100 | 29 | 16 | ELISA | [ | |
| Hassanein | 2014 | Egypt | 53 | 52.6 | 35/55 | 25/35 | 90 | 60 | 70 | 32 | ELISA | [ | |
| Eini | 2014 | Iran | 68.9 | 66.9 | 60/81 | 60/81 | 141 | 141 | 111 | 74 | ELISA | [ | |
| Ebrahimi-Rad | 2014 | Iran | NA | NA | NA | NA | 27 | 25 | 20 | 13 | ELISA | [ | |
| Wu | 2014 | Taiwan | 53 | 53.2 | 1922/3882 | 1925/3879 | 5804 | 5804 | 176 | 207 | Culture | [ | |
| Srivastava | 2014 | India | 43.6 | 43.2 | NA | NA | 80 | 80 | 42 | 26 | ELISA | [ | |
| Sagar | 2016 | India | 47.8 | 46.6 | 14/25 | 8/22 | 39 | 30 | 26 | 12 | ELISA | [ | |
| Roham | 2016 | Iran | 69.1 | 67.2 | 61/36 | 51/46 | 97 | 97 | 4 | 0 | ELISA | [ | |
| Salmasi | 2017 | Iran | 66.7 | 65.9 | 38/32 | 39/31 | 70 | 70 | 61 | 51 | ELISA | [ | |
| Mrđen | 2017 | Croatia | 72.8 | 72.8 | 34/32 | 34/32 | 82 | 93 | 21 | 32 | ELISA | [ | |
Fig. 2The forest plot of the meta-analysis on the association between bacterial infection and ischemic stroke.
Fig. 3The forest plot of the meta-analysis on the association between C. pneumoniae infection and ischemic stroke.
Fig. 4The forest plot of the meta-analysis on the association between H. pylori infection and ischemic stroke.
Fig. 5The forest plot of the meta-analysis on the association between M. pneumoniae infection and ischemic stroke.
Fig. 6The forest plot of the meta-analysis on the association between M. tuberculosis infection and ischemic stroke.
Fig. 7Cardiovascular disorders caused by infection. Bacterial infections cause some cardiovascular disorders including parent atherosclerosis plaques, Carotid artery atherosclerosis, and Aortic arch atheroma. This figure was taken from the website https://smart.servier.com/image-set-download/.