| Literature DB >> 36188383 |
Sai Wang1, Xue-Lun Zou1, Lian-Xu Wu1, Hui-Fang Zhou1, Linxiao Xiao2, Tianxing Yao1, Yupeng Zhang1, Junyi Ma1, Yi Zeng3, Le Zhang1,4,5.
Abstract
Background: Intracerebral hemorrhage (ICH) is associated with high mortality and disability rates. This study aimed to investigate the relationship between sex, age, study year, risk factors, bleeding site, median year of study, and the incidence of ICH. Method: Literature on the incidence of ICH published on 1 January 1980 and 1 January 2020, was systematically retrieved from PubMed and Embase databases. The random-effects model and subgroup analysis were used to explore the relationship between the incidence of ICH and different ages, sex, bleeding sites, and risk factors.Entities:
Keywords: hypertension; incidence; intracerebral hemorrhage; risk factors; sex difference
Year: 2022 PMID: 36188383 PMCID: PMC9523083 DOI: 10.3389/fneur.2022.915813
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.086
Figure 1Flow diagram for this systematic review and meta-analysis.
Basic information of all included studies.
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| 1990 ( | All ages | Oxfordshire, England | 1983 | 66 | 345,948 | 4 | 0.76 (0–1.72) |
| 1991 ( | All ages | Dijon, France | 1987 | 87 | 678,560 | 5 | 1.57 (1.2–1.94) |
| 1992 ( | All ages | Valle d'Aosta, Italy | 1989 | 33 | 114,325 | 1 | … |
| 1992 ( | All ages | Jyväskylä, Finland | 1987 | 158 | 510,545 | 4.3 | 1.14 (0–2.42) |
| 1992 ( | All ages | Frederiksberg, Denmark | 1990 | 17 | 85,611 | 2 | … |
| 1992 ( | All ages | Malmo, Sweden | 1989 | 51 | 232,448 | …/1 | … |
| 1995 ( | All ages | Belluno, Italy. | 1993 | 93 | 211,389 | 1 | 0.67 (0–1.45) |
| 1995 ( | All ages | Novosibirsk, Russia | 1992 | 31 | 158,234 | 1 | … |
| 1997 ( | All ages | L'Aquila, Italy | 1996 | 122 | 297,838 | 5 | 1.13 (0.78–1.48) |
| 1997 ( | ≥15 | Innherred, Norway | 1995 | 45 | 138,590 | 2 | … |
| 1998 ( | ≥18 | Southern Greece | 1994 | 77 | 161,548 | 2 | 2.05 (1.33–2.83) |
| 1998 ( | All ages | Bavaria, Germany | 1995 | 48 | 202,900 | 2 | 0.86 (0.52–1.2) |
| 1999 ( | ≥35 | Shiga, Japan | 1991 | 98 | 148,370 | 5 | 0.94 (0.57–1.31) |
| 2000 ( | All ages | Southern Sweden | 1996 | 341 | 1,140,000 | 1 | 1.35 (0.78–1.93) |
| 2000 ( | All ages | Izumo, Japan | 1994 | 267 | 509,124 | 6 | 1.25 (0.54–1.97) |
| 2001 ( | All ages | Martinique, France | 1999 | 83 | 360,000 | 1 | … |
| 2001 ( | All ages | Melbourne, Australia. | 1997 | 40 | 133,816 | 1 | 1.96 (1.1–2.82) |
| 2002 ( | All ages | London, England | 1997 | 151 | 938,132 | 4 | … |
| 2002 ( | All ages | Örebro, Sweden | 1999 | 44 | 123,503 | 1 | … |
| 2003 ( | All ages | Southern Italy | 1996 | 62 | 179,186 | 1 | 1.25 (0.5–2.0) |
| 2004 ( | All ages | Changsha, China | 1993 | 722 | 551,163 | 15 | 1.89 (1.34–2.45) |
| 2004 ( | All ages | Tbilisi, Georgia | 2002 | 62 | 140,926 | 2.7 | 0.62 (0–1.97) |
| 2004 ( | All ages | Barbado, Caribbean | 2002 | 42 | 239,068 | 1 | … |
| 2005 ( | All ages | Iquique, Chile | 2001 | 69 | 396,712 | 2 | 1.79(0–3.8) |
| 2005 ( | ≥20 | Manhattan, US | 1995 | 155 | 501,618 | 4 | … |
| 2005 ( | All ages | Scotland, England | 1999 | 50 | 212,704 | 2 | … |
| 2006 ( | ≥15 | Auckland, New Zealand. | 2002 | 177 | 897,882 | 1 | 0.75 (0–1.62) |
| 2007 ( | All ages | Matão, Brazil | 2004 | 11 | 75,053 | 1 | 3.26 (1.93–4.59) |
| 2007 ( | All ages | Oxfordshire, UK | 2004 | 395 | 2,701,909 | 10 | … |
| 2007 ( | All ages | Takashima, Japan | 1995 | 380 | 831,765 | 15 | … |
| 2007 ( | All ages | Tartu, Estonia | 2002 | 57 | 202,244 | 2 | |
| 2008 ( | ≥25 | Mumbai, India | 2006 | 68 | 313,722 | 2 | … |
| 2008 ( | All ages | Melbourne, Australia | 1998 | 151 | 613,262 | 2 | 1.23 (0.91–1.54) |
| 2009 ( | All ages | L'Aquila, Italy | 1996 | 549 | 1,488,225 | 10 | 1.02 (0.84–1.20) |
| 2009 ( | All ages | South Indian | 2005 | 40 | 462,938 | 0.5 | … |
| 2009 ( | All ages | Joinville, Brazil | 2005 | 94 | 974,094 | 2 | 2.35 (1.65–3.05) |
| 2009 ( | All ages | Mashhad, Iran | 2006 | 79 | 450,229 | 1 | 0.85 (0.04–1.67) |
| 2010 ( | All ages | Ludwigshafen, Germany | 2007 | 65 | 335,812 | 2 | … |
| 2010 ( | All ages | Southern Italy | 2001 | 24 | 77,470 | 2 | 2.37 (0–4.98) |
| 2012 ( | All ages | VaraŽdin, Croatia | 2008 | 123 | 368,230 | 2 | … |
| 2012 ( | All ages | Spain | 2006 | 350 | 1,440,979 | 1 | 1.3 (1–1.58) |
| 2012 ( | All ages | Dublin, Ireland | 2006 | 56 | 294,529 | 1 | … |
| 2013 ( | All ages | Udine, Italy | 2008 | 95 | 306,624 | … | |
| 2013 ( | All ages | Northern Portugal | 1999 | 111 | 246,224 | 2 | … |
| 2013 ( | All ages | Ludwigshafen, Germany | 2008 | 152 | 838,285 | 5 | … |
| 2014 ( | ≥40 | Hisayama, Japan | 1995 | 53 | 32,854 | 12 | … |
| 2014 ( | All ages | MediterraneanIsland, Greece | 2011 | 25 | 86,436 | 1 | … |
| 2015 ( | All ages | Southwestern Nigeria | 2011 | 54 | 491,033 | 1 | 0.9 (0.1–1.72) |
| 2015 ( | ≥16 | Scotland, England | 2011 | 128 | 695,335 | 1 | … |
| 2016 ( | All ages | LAquila, Italy | 2012 | 115 | 596,430 | 2 | 1.14 (0.6–1.69) |
| 2017 ( | ≥35 | Southern Region of Portugal | 2015 | 82 | 280,081 | 1 | 1.69 (0.9–2.46) |
| 2018 ( | ≥20 | Northeastern Greece | 2011 | 83 | 119,805 | 2 | 1.08 (0.2–1.94) |
Figure 2Histogram of the average incidence rate of ICH in all continents.
Incidence rate of ICH in different ages.
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| <45 ( | 184 | 7,175,944 | 2.37 | 1.9–3.0 | 28 | 0.21 (0.1–0.32) |
| 45–54 ( | 344 | 1,435,489 | 22.1 | 16.9–27.3 | 29 | Reference |
| 55–64 ( | 640 | 1,164,530 | 55 | 43.8–66.2 | 30 | 2.63 (1.9–3.4) |
| 65–74 ( | 1,159 | 1,043,790 | 111.3 | 90.7–132 | 32 | 5 (3.3–6.7) |
| 75–84 ( | 919 | 620,473 | 166 | 128.6–203.3 | 29 | 6.6 (4.8–8.4) |
| >84 ( | 427 | 763,816 | 95.4 | 79.5–111.3 | 28 | 9.7 (6–13.5) |
ICH, intracerebral hemorrhage.
Ten common risk factors for ICH.
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| Hypertension ( | 15 | 2,064.9 | 9,784,791 | 28 (21.8–34.1) | Reference |
| Diabetes ( | 16 | 376.9 | 10,295,947 | 4.1 (3.1–5.2) | 0.2 (0.13–0.26) |
| Heart disease ( | 12 | 497.4 | 7,691,988 | 7.1 (4.9–9.4) | 0.27 (0.13–0.4) |
| Atrial fibrillation ( | 10 | 83.4 | 6,000,825 | 1.6 (0.95–2.2) | 0.1(0.04–0.16) |
| Smoking ( | 13 | 595.1 | 8,437,127 | 6.5 (4.7–8.4) | 0.35 (0.23–0.47) |
| Excessive drinking ( | 7 | 200 | 2,954,459 | 6.2 (3–9.4) | 0.32 (0.12–0.52) |
| Anticoagulant drugs ( | 9 | 112.6 | 4,528,027 | 2.3 (1.1–3.4) | 0.17 (0.12–0.23) |
| Antiplatelet drugs ( | 9 | 273.7 | 5,214,520 | 5.5 (3.6–7.4) | 0.33 (0.2–0.4) |
| Dyslipidemia ( | 8 | 166.8 | 3,622,188 | 4.6 (2.6–6.6) | 0.3 (.16–0.47) |
| Pre-TIA ( | 7 | 83 | 3,631,178 | 1.4 (0.4–2.3) | 0.08 (0–0.23) |
ICH, intracerebral hemorrhage.
Figure 3Random effect forest diagram of single incidence rate in ICH.
Incidence rate of ICH in different locations.
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| Number of patients | 687 | 32 | 49 | 100 | 55 | 80 |
| Person-year | 5,412,745 | 1,683,399 | 1,683,399 | 543,399 | 2,084,655 | 2,762,857 |
| Incidence | 12.7 (9.9–15.5) | 1.9 (0.3–3.5) | 4.8 (1.4–8.3) | 53.6 (0–135.9) | 2.5 (1.4–3.5) | 2.7 (0.5–4.8) |
| Number of study | 9 | 3 | 3 | 2 | 2 | 4 |
| Incidence ratio (95%CI) | Reference | 0.39 (0–1.2) | 0.28 (0.08–0.45) | 2.7 (0–12) | 0.23 (0–0.47) | 0.62 (0–1.76) |
ICH, intracerebral hemorrhage.