| Literature DB >> 33076963 |
Hao Lei1, Jiahui Hu1, Leiling Liu1, Danyan Xu2.
Abstract
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a leading cause of sudden cardiac death worldwide. Researchers have found significant pathophysiological differences between females and males and clinically significant sex differences related to medical services. However, conflicting results exist and there is no uniform agreement regarding sex differences in survival and prognosis after OHCA. Therefore, we investigated the relationship between the prognosis of OHCA and sex factors.Entities:
Keywords: Out-of-hospital cardiac arrest; Post-resuscitation care; Prognosis; Sex; Survival
Mesh:
Year: 2020 PMID: 33076963 PMCID: PMC7570116 DOI: 10.1186/s13054-020-03331-5
Source DB: PubMed Journal: Crit Care ISSN: 1364-8535 Impact factor: 9.097
Fig. 1The process of study selection
Studies included in the meta-analysis and baseline characteristics
| References | Study location | Period | Total | Female (%) | Age (years) | OHCA at home (%) | Bystander-witnessed (%) | Bystander CPR (%) | Initial shockable rhythm (%) | Sustained ROSC (%) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| F | M | F | M | F | M | F | M | F | M | F | M | |||||
| Perman et al. [ | California | 2010–2011 | 6562 | 44.0 | 67.8 | 64.3 | ||||||||||
| Okabayashi et al. [ | Japan | 2013–2015 | 233,511 | 46.9 | ||||||||||||
| Jeong et al. [ | Korea | 2006–2018 | 20,675 | 33.6 | 73.5 | 64.2 | 73.2 | 62.2 | 63 | 64.1 | 48.8 | 48 | 17.1 | 33.5 | 100 | 100 |
| Goto et al. [ | Japan | 2013–2016 | 386,535 | 43.8 | 80.3 | 74.3 | 36.3 | 40.3 | 56.4 | 49.6 | 4.3 | 10.7 | ||||
| Blom et al. [ | Netherlands | 2006–2012 | 5717 | 28.0 | 69.4 | 67.1 | 84.8 | 66.9 | 70.5 | 74.7 | 67.9 | 72.7 | 33.7 | 52.7 | 33.6 | 36.6 |
| Matilde et al. [ | Copenhagen | 2007–2011 | 704 | 25.0 | 71 | 64 | 73.0 | 54.0 | 86.0 | 88.0 | 54.0 | 61.0 | 53.0 | 71.0 | 100 | 100 |
| May et al. [ | Detroit | 2014–2016 | 2359 | 45.1 | ||||||||||||
| Masterson et al. [ | Sweden | 2012–2014 | 15,303 | 33.4 | ||||||||||||
| Hansen et al. [ | North Carolina | 2010–2014 | 8100 | 38.1 | 68 | 64 | 82.4 | 77 | 41.2 | 47.5 | 20.7 | 24.6 | 14.6 | 28.1 | ||
| Dicker et al. [ | New Zealand | 2013–2015 | 3862 | 31.0 | 68 | 65 | 75 | 63 | 49 | 55 | 59 | 64 | 28 | 43 | 29 | 31 |
| Oh et al. [ | Korean | 2007–2012 | 930 | 30.1 | 56.9 | 56.7 | 62.1 | 68.9 | 27.5 | 31.4 | 20 | 33.1 | 100 | 100 | ||
| Hagihara et al. [ | Japan | 2005–2012 | 24,216 | 13.2 | 52.3 | 53.1 | 73.4 | 76.3 | 100 | 100 | 34 | 27.9 | ||||
| Bougouin et al. [ | France | 2000–2013 | 1817 | 28.6 | 62.8 | 59.1 | 57.0 | 37.0 | 84.0 | 88.0 | 45.0 | 48.0 | 42.0 | 61.0 | 100 | 100 |
| Ng et al. [ | Pan-Asian | 2009–2012 | 40,159 | 40.0 | 82 | 72 | 32.0 | 32.5 | 38.0 | 44.6 | 41.2 | 36.6 | 6.7 | 17.7 | 6.1 | 10 |
| Morrison et al. [ | Canada and Amercia | 2000–2006 | 14,690 | 36.4 | 73 | 66 | 92 | 79.4 | 34.3 | 41.8 | 29.6 | 31.0 | 16.6 | 30.0 | 28.1 | 28.2 |
| Bosson et al. [ | Los Angeles | 2011–2014 | 5174 | 40.5 | 71 | 66 | 81.0 | 83.0 | 39.0 | 41.0 | 22.0 | 35.0 | ||||
| Karlsson et al. [ | Europe and the USA | 2006–2012 | 1667 | 28.0 | 62 | 63 | 80.0 | 83.0 | 58.0 | 64.0 | 52.0 | 69.0 | 100 | 100 | ||
| Wissenberg et al. [ | Danish | 2001–2010 | 19,372 | 32.6 | 75 | 70 | 81.3 | 70.6 | 49.1 | 53.4 | 25.9 | 32.9 | 17.2 | 32.6 | ||
| Safda et al. [ | Ontario | 1994–2002 | 11,479 | 32.5 | 74 | 69 | 42.8 | 48.7 | 12.1 | 16.9 | 24.4 | 41.6 | 11.8 | 11.1 | ||
| Johnson et al. [ | America | 2005–2009 | 19,398 | 39.5 | 69 | 63 | 92.8 | 83.5 | 44.8 | 49.9 | 33.3 | 33.7 | 16.5 | 28.5 | 34.9 | 32.3 |
| Bray et al. [ | Australian | 2003–2010 | 10,453 | 30.0 | 74 | 69 | 76.0 | 68.0 | 57.0 | 63.0 | 48.0 | 52.0 | 26.0 | 45.0 | ||
| Teodorescu et al. [ | America | 2002–2007 | 1296 | 33.0 | 68 | 63 | 69.0 | 61.0 | 66.0 | 68.0 | 24.0 | 28.0 | 38.0 | 55.0 | 41.3 | 33.0 |
| Ahn et al. [ | Korea | 2007–2008 | 13,922 | 37.0 | 72.4 | 63.7 | 82.8 | 71.8 | 45 | 46.9 | 3.4 | 5.4 | ||||
| Akahane et al. [ | Japan | 2005–2007 | 318,123 | 37.8 | 72.7 | 67.9 | 36.9 | 42.1 | 38.3 | 32.8 | 4.7 | 10.1 | ||||
| Adielsson et al. [ | Sweden | 1990–2009 | 7187 | 19.0 | 71 | 69 | 60.0 | 53.0 | 51.0 | 56.0 | 100 | 100 | 100 | 100 | ||
| Kitamura et al. [ | Japan | 1998–2007 | 26,940 | 41.5 | 78.7 | 72.0 | 75.0 | 70.0 | 34.0 | 41.0 | 28.0 | 34.0 | 6.0 | 13.0 | ||
| Arrich et al. [ | Austria | 1991–2004 | 801 | 25.6 | 62 | 60 | 100 | 100 | 29.0 | 37.0 | 64.0 | 78.0 | ||||
| Mahapatra et al. [ | Olmstead | 1990–2000 | 200 | 18.5 | 65 | 64 | 86.0 | 82.0 | 46.0 | 57.0 | 100 | 100 | ||||
| Cline et al. [ | America | 1997–1999 | 388 | 35.6 | 69.3 | 64 | 75.0 | 75.0 | 44.0 | 58.0 | 51.0 | 52.0 | 33.0 | 54.0 | 23.9 | 24.8 |
| Herlitz et al. [ | Swedish | 1990–2000 | 23,797 | 27.9 | 69 | 67 | 72.0 | 63.0 | 62.0 | 64.0 | 32.0 | 37.0 | 24.0 | 36.0 | ||
| Kim et al. [ | America | 1990–1998 | 10,879 | 35.0 | 71 | 66 | 75.0 | 70.0 | 48.0 | 54.0 | 45.0 | 47.0 | 25.0 | 43.0 | ||
| Pell et al. [ | Scotland | 1988–1997 | 22,161 | 30.0 | 69 | 65 | 67.0 | 55.0 | 58.0 | 63.0 | 49.0 | 59.0 | ||||
| Perers et al. [ | Go¨ teborg | 1980–1996 | 4401 | 28.0 | 73 | 69 | 70.0 | 73.0 | 11.0 | 15.0 | 28.0 | 44.0 | ||||
The sex difference in post-resuscitation care
| References | PCI (%) | TTM (%) | CAG (%) | |||
|---|---|---|---|---|---|---|
| F | M | F | M | F | M | |
| Perman et al. [ | 3.84 | 9.47 | 9.30 | 18.15 | ||
| Jeong et al. [ | 3.30 | 12.10 | 7.50 | 11.30 | ||
| Blom et al. [ | 8.75 | 14.10 | 24.90 | 26.20 | 16.44 | 25.30 |
| Matilde et al. [ | 17 | 30 | 47 | 61 | 58 | 88 |
| Hansen et al. [ | 58.50 | 62.40 | 23.70 | 41.40 | ||
| Dicker et al. [ | 68 | 64 | ||||
| Oh et al. [ | 100 | 100 | 7.90 | 15.50 | ||
| Bougouin et al. [ | 17.12 | 31.60 | 70.00 | 72.00 | 49.00 | 70.00 |
| Bosson et al. [ | 47.00 | 54.00 | 33.00 | 40.00 | 11.00 | 25.00 |
| Karlsson et al. [ | 100 | 100 | ||||
| Bray et al. [ | 56.00 | 63.00 | ||||
| Arrich et al. [ | 24.00 | 26.00 | ||||
F females, M males, PCI percutaneous coronary intervention, TTM target body temperature management, CAG coronary angiography
Fig. 2Forest plot and meta-analysis of the sex differences in survival from OHCA to admission
Fig. 3Forest plot and meta-analysis of the sex differences in survival from admission to discharge
Fig. 4Forest plot and meta-analysis of the sex differences in survival from OHCA to discharge
Fig. 5Forest plot and meta-analysis of the sex differences in neurological prognosis
The p value of meta-regression
| OHCA at home | Bystander-witnessed | Bystander CPR | Initial shockable rhythm | Sustained ROSC | |
|---|---|---|---|---|---|
| A | 0.125 | 0.156 | 0.34 | 0.039 | 0.35 |
| B | 0.496 | 0.116 | 0.906 | 0.001 | 0.012 |
| C | 0.283 | 0.672 | 0.72 | 0.026 | 0.117 |
A = meta-analysis of the sex differences in survival from OHCA to admission; B = meta-analysis of the sex differences in survival from OHCA to discharge; C = meta-analysis of the sex differences in neurological prognosis