Literature DB >> 18480606

Clinical severity predicts time to hospital admission in patients with spontaneous intracerebral hemorrhage.

Hagen B Huttner1, Martin Kohrmann, Elena Tognoni, Eric Juttler, Gregor Richter, Arnd Dorfler, Udo Reulbach, Teresa Bassemir, Dimitre Staykov, Jurgen Bardutzky, Peter D Schellinger, Stefan Schwab.   

Abstract

BACKGROUND: In this study we analyzed whether demographic, clinical and neuroradiological parameters are associated with time to hospital admission in patients with spontaneous intracerebral hemorrhage (ICH). We a priori hypothesized that the earlier a patient was admitted to hospital, the worse the clinical status would be.
METHODS: Demographic, clinical and neuroradiological parameters of consecutive patients with spontaneous ICH directly admitted to 2 neurological university departments were subjected to correlation, trichotomization and logistic regression analyses for prediction of (i) early hospital admission, and (ii) favorable clinical presentation at admission [dichotomized Glasgow Coma Scale (GCS) score > or =9].
RESULTS: We analyzed 157 patients with a median age of 66 (39-93) years. Patient trichotomization according to the GCS revealed a significant difference (p < 0.001) between all groups with regard to the time from symptom onset to hospital admission: patients with a GCS score of 3-5 were admitted after 105 (40-300) min (mean: 113 +/- 53), those with a GCS score of 6-9 after 180 (45-420) min (mean: 184 +/- 95) and those with a GCS score of 10-15 after 300 (60-1,560) min (mean: 324 +/- 367). There were significant correlations between (i) hematoma volume and GCS (r = -0.632; p < 0.001); (ii) time to admission and GCS (r = 0.596; p < 0.001), and (iii) Graeb scores for intraventricular hemorrhage and hematoma volume (r = 0.348; p < 0.001). In the multivariate regression model for prediction of time until hospital admission, presence of intraventricular hemorrhage and the GCS score on admission were significant. In the multivariate regression model for prediction of a GCS score of > or =9 on admission, hematoma volume and time until hospital admission were significant parameters.
CONCLUSIONS: Clinically more severely affected patients were admitted to hospital earlier. This highlights the importance of most rapid diagnosis of ICH. Efforts should be made to get less severely affected patients admitted earlier as they might be ideal candidates for emerging innovative treatments. 2008 S. Karger AG, Basel.

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Year:  2008        PMID: 18480606     DOI: 10.1159/000131671

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  5 in total

1.  Intraventricular hemorrhage expansion in patients with spontaneous intracerebral hemorrhage.

Authors:  Jens Witsch; Eliza Bruce; Emma Meyers; Angela Velazquez; J Michael Schmidt; Sureerat Suwatcharangkoon; Sachin Agarwal; Soojin Park; M Cristina Falo; E Sander Connolly; Jan Claassen
Journal:  Neurology       Date:  2015-02-06       Impact factor: 9.910

2.  The use of serum glial fibrillary acidic protein test as a promising tool for intracerebral hemorrhage diagnosis in Chinese patients and prediction of the short-term functional outcomes.

Authors:  Lijun Xiong; Yan Yang; Mei Zhang; Wuping Xu
Journal:  Neurol Sci       Date:  2015-07-21       Impact factor: 3.307

3.  Characteristics of Early Presenters after Intracerebral Hemorrhage.

Authors:  Andrea Morotti; Jawed Nawabi; Frieder Schlunk; Loris Poli; Paolo Costa; Federico Mazzacane; Giorgio Busto; Elisa Scola; Francesco Arba; Laura Brancaleoni; Sebastiano Giacomozzi; Luigi Simonetti; Michele Laudisi; Anna Cavallini; Massimo Gamba; Mauro Magoni; Roberto Gasparotti; Alessandro Padovani; Alessandro Pezzini; Andrea Zini; Enrico Fainardi; Ilaria Casetta
Journal:  J Stroke       Date:  2022-09-30       Impact factor: 8.632

4.  Influence of time to admission to a comprehensive stroke centre on the outcome of patients with intracerebral haemorrhage.

Authors:  Luis Prats-Sánchez; Marina Guasch-Jiménez; Ignasi Gich; Elba Pascual-Goñi; Noelia Flores; Pol Camps-Renom; Daniel Guisado-Alonso; Alejandro Martínez-Domeño; Raquel Delgado-Mederos; Ana Rodríguez-Campello; Angel Ois; Alejandra Gómez-Gonzalez; Elisa Cuadrado-Godia; Jaume Roquer; Joan Martí-Fàbregas
Journal:  Eur Stroke J       Date:  2020-01-29

5.  Eupatilin inhibits microglia activation and attenuates brain injury in intracerebral hemorrhage.

Authors:  Hai-Bo Qiao; Jia Li; Lian-Jie Lv; Ben-Jin Nie; Peng Lu; Feng Xue; Zhi-Ming Zhang
Journal:  Exp Ther Med       Date:  2018-09-05       Impact factor: 2.447

  5 in total

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