Literature DB >> 28138916

A Systematic and Meta-Analysis of Mortality in Experimental Mouse Models Analyzing Delayed Cerebral Ischemia After Subarachnoid Hemorrhage.

Marcel A Kamp1, Jasper H van Lieshout2, Maxine Dibué-Adjei2,3, Jasmin K Weber2, Toni Schneider3, Tanja Restin4,5, Igor Fischer6, Hans-Jakob Steiger2.   

Abstract

Animal models are established to display the pathophysiological changes following subarachnoid hemorrhage (SAH). The aim of the present study was to determine case fatality in mouse delayed cerebral ischemia (DCI) models, to compare mortality in mouse DCI models to case fatality in human SAH patients, and to identify factors influencing mouse mortality. A systematic search of the PubMed database was performed to identify all studies that assessed mouse DCI models. Mortality rates and predictor variables were extracted and compared to the human case fatality after SAH as previously reported. Predictors for mouse mortality were identified through multivariate analysis. Forty-eight studies were included in the quantitative analysis. The mean overall mortality rate was 21% in mouse DCI models. However, the time period between induction of SAH and evaluation of mortality rates is a significant variable influencing the mortality rate in mouse SAH models. The experimental SAH model was the only significant predictor for mouse mortality after 48 h. In contrast, neither the genetic background nor the anesthetic changed the case fatality rate. Mouse mortality at 24, 48, and 72 h after experimental SAH in DCI models was significantly lower than human case fatality following aneurysmal SAH. The mean overall mortality rate in mouse DCI models is significantly lower than human case fatality following aneurysmal SAH. However, time between SAH induction and evaluation is a significant variable influencing the mortality rate in mouse SAH models. Further analyses will be required to establish whether and to which extent different DCI models affect mortality and reflect human pathophysiology.

Entities:  

Keywords:  DCI; Delayed cerebral ischemia; Mortality; Mouse; Mouse model; SAH; Subarachnoid hemorrhage

Mesh:

Year:  2017        PMID: 28138916     DOI: 10.1007/s12975-016-0513-3

Source DB:  PubMed          Journal:  Transl Stroke Res        ISSN: 1868-4483            Impact factor:   6.829


  122 in total

1.  Microthrombosis after experimental subarachnoid hemorrhage: time course and effect of red blood cell-bound thrombin-activated pro-urokinase and clazosentan.

Authors:  Jared M Pisapia; Xiangsheng Xu; Jane Kelly; Jamie Yeung; Geneive Carrion; Huaiyu Tong; Sudha Meghan; Omar M El-Falaky; M Sean Grady; Douglas H Smith; Sergei Zaitsev; Vladimir R Muzykantov; Michael F Stiefel; Sherman C Stein
Journal:  Exp Neurol       Date:  2011-11-04       Impact factor: 5.330

2.  The relationship between ruptured aneurysm location, subarachnoid hemorrhage clot thickness, and incidence of radiographic or symptomatic vasospasm in patients enrolled in a prospective randomized controlled trial.

Authors:  Adib A Abla; David A Wilson; Richard W Williamson; Peter Nakaji; Cameron G McDougall; Joseph M Zabramski; Felipe C Albuquerque; Robert F Spetzler
Journal:  J Neurosurg       Date:  2013-12-06       Impact factor: 5.115

3.  Microglia regulate blood clearance in subarachnoid hemorrhage by heme oxygenase-1.

Authors:  Nils Schallner; Rambhau Pandit; Robert LeBlanc; Ajith J Thomas; Christopher S Ogilvy; Brian S Zuckerbraun; David Gallo; Leo E Otterbein; Khalid A Hanafy
Journal:  J Clin Invest       Date:  2015-05-26       Impact factor: 14.808

4.  Genomic responses in mouse models greatly mimic human inflammatory diseases.

Authors:  Keizo Takao; Tsuyoshi Miyakawa
Journal:  Proc Natl Acad Sci U S A       Date:  2014-08-04       Impact factor: 11.205

5.  Stroke in south Alabama: incidence and diagnostic features--a population based study.

Authors:  C R Gross; C S Kase; J P Mohr; S C Cunningham; W E Baker
Journal:  Stroke       Date:  1984 Mar-Apr       Impact factor: 7.914

6.  Declining mortality from subarachnoid hemorrhage: changes in incidence and case fatality from 1985 through 2000.

Authors:  Birgitta Stegmayr; Marie Eriksson; Kjell Asplund
Journal:  Stroke       Date:  2004-07-22       Impact factor: 7.914

7.  The impact of nonsteroidal anti-inflammatory drugs on inflammatory response after aneurysmal subarachnoid hemorrhage.

Authors:  Carl Muroi; Michael Hugelshofer; Martin Seule; Emanuela Keller
Journal:  Neurocrit Care       Date:  2014-04       Impact factor: 3.210

8.  Oxidative stress after subarachnoid hemorrhage in gp91phox knockout mice.

Authors:  Shimin Liu; Jiping Tang; Robert P Ostrowski; Elena Titova; Cara Monroe; Wanqiu Chen; Wendy Lo; Robert Martin; John H Zhang
Journal:  Can J Neurol Sci       Date:  2007-08       Impact factor: 2.104

9.  Trends in incidence and outcome of stroke in Perth, Western Australia during 1989 to 2001: the Perth Community Stroke Study.

Authors:  Md Shaheenul Islam; Craig S Anderson; Graeme J Hankey; Kate Hardie; Kristie Carter; Robyn Broadhurst; Konrad Jamrozik
Journal:  Stroke       Date:  2008-01-31       Impact factor: 7.914

10.  Cortical blood flow and cerebral perfusion pressure in a new noncraniotomy model of subarachnoid hemorrhage in the rat.

Authors:  J B Bederson; I M Germano; L Guarino
Journal:  Stroke       Date:  1995-06       Impact factor: 7.914

View more
  9 in total

Review 1.  An introduction to the pathophysiology of aneurysmal subarachnoid hemorrhage.

Authors:  Jasper H van Lieshout; Maxine Dibué-Adjei; Jan F Cornelius; Philipp J Slotty; Toni Schneider; Tanja Restin; Hieronymus D Boogaarts; Hans-Jakob Steiger; Athanasios K Petridis; Marcel A Kamp
Journal:  Neurosurg Rev       Date:  2017-02-18       Impact factor: 3.042

2.  Inflammation: a Good Research Target to Improve Outcomes of Poor-Grade Subarachnoid Hemorrhage.

Authors:  Hidenori Suzuki
Journal:  Transl Stroke Res       Date:  2019-06-18       Impact factor: 6.829

3.  Experimental Aneurysmal Subarachnoid Hemorrhage: Tiding Over.

Authors:  Marcel A Kamp; Hans-Jakob Steiger; Jasper Hans van Lieshout
Journal:  Transl Stroke Res       Date:  2019-09-02       Impact factor: 6.829

4.  MTT Heterogeneity in Perfusion CT Imaging as a Predictor of Outcome after Aneurysmal SAH.

Authors:  B B Hofmann; I Fischer; A Engel; K Jannusch; D M Donaldson; C Karadag; J H van Lieshout; K Beseoglu; S Muhammad; B Turowski; D Hänggi; M A Kamp; C Rubbert
Journal:  AJNR Am J Neuroradiol       Date:  2021-06-03       Impact factor: 4.966

Review 5.  The role and therapeutic potential of heat shock proteins in haemorrhagic stroke.

Authors:  Anwen Shao; Yunxiang Zhou; Yihan Yao; Wenhua Zhang; Jianmin Zhang; Yongchuan Deng
Journal:  J Cell Mol Med       Date:  2019-07-05       Impact factor: 5.310

6.  Intrathecal Fibrinolysis for Aneurysmal Subarachnoid Hemorrhage: Evidence From Randomized Controlled Trials and Cohort Studies.

Authors:  Xiaocheng Lu; Chengyuan Ji; Jiang Wu; Wanchun You; Wei Wang; Zhong Wang; Gang Chen
Journal:  Front Neurol       Date:  2019-08-19       Impact factor: 4.003

7.  Non-Animal Models in Experimental Subarachnoid Hemorrhage Research: Potentials and the Dilemma of the Translation from Bench to Bedside.

Authors:  Cihat Karadag; Jay Gopalakrishnan; Christiane von Saß; Jan F Cornelius; Daniel Hänggi; Jasper Hans van Lieshout; Marcel A Kamp
Journal:  Transl Stroke Res       Date:  2021-10-29       Impact factor: 6.829

8.  Mesenchymal stem cells-derived therapies for subarachnoid hemorrhage in preclinical rodent models: a meta-analysis.

Authors:  Jialin He; Jianyang Liu; Yan Huang; Ziwei Lan; Xiangqi Tang; Zhiping Hu
Journal:  Stem Cell Res Ther       Date:  2022-01-29       Impact factor: 6.832

9.  Proposed Definition of Experimental Secondary Ischemia for Mouse Subarachnoid Hemorrhage.

Authors:  Jasper Hans van Lieshout; Serge Marbacher; Sajjad Muhammad; Hieronymus D Boogaarts; Ronald H M A Bartels; Maxine Dibué; Hans-Jakob Steiger; Daniel Hänggi; Marcel A Kamp
Journal:  Transl Stroke Res       Date:  2020-03-09       Impact factor: 6.800

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.