Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Weimar C, Kley C, Kraywinkel K, Schacker A, Riepe M, Wimmer MLJ, Goertler M, Diener HC. [Clinical presentation and prognosis of brain stem infarcts. An evaluation of the Stroke Databank of the German Stroke Foundation]. Nervenarzt 2002;73:166-73. [PMID: 11975094 DOI: 10.1007/s00115-001-1245-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]

For:	Weimar C, Kley C, Kraywinkel K, Schacker A, Riepe M, Wimmer MLJ, Goertler M, Diener HC. [Clinical presentation and prognosis of brain stem infarcts. An evaluation of the Stroke Databank of the German Stroke Foundation]. Nervenarzt 2002;73:166-73. [PMID: 11975094 DOI: 10.1007/s00115-001-1245-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]

Number	Cited by Other Article(s)
1	Neurologic and non-neurologic predictors of mortality in ischemic stroke patients admitted to the intensive care unit. J Formos Med Assoc 2006;105:653-8. [PMID: 16935766 DOI: 10.1016/s0929-6646(09)60164-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open Abstract BACKGROUND/PURPOSE Patients with severe strokes may have different associated medical comorbidities from those with mild strokes. This study evaluated the neurologic and non-neurologic medical predictors of mortality in patients with severe cerebral infarction in the acute stage. METHODS Patients admitted to a neurologic intensive care unit (ICU) due to cerebral infarction were included. Neurologic and non-neurologic predictors for in-unit mortality were determined by logistic regression analyses. Two models using (A) neurologic factors and (B) combined neurologic and non-neurologic factors as mortality predictors were developed. The performance of the models in predicting overall, neurologic and non-neurologic mortalities was compared by areas under the receiver-operating characteristic curves (AUC) of the derived regressive equations. RESULTS Of 231 patients with cerebral infarction admitted to the ICU, 34 (14.7%) died during ICU stay. Conscious state and acute physiologic abnormalities were significant predictors of mortality. The length of ICU stay in patients with non-neurologic mortality was longer than in those with neurologic mortality (p = 0.044). The AUC of Model B was larger than that of Model A in predicting overall (0.768 +/- 0.045 vs. 0.863 +/- 0.033, p = 0.005) and non-neurologic mortalities (0.570 +/- 0.073 vs. 0.707 +/- 0.074, p = 0.009), while there was no difference in predicting death from neurologic causes (0.858 +/- 0.044 vs. 0.880 +/- 0.032, p = 0.217). CONCLUSION Impaired consciousness and acute physiologic abnormalities are independent predictors of mortality for severe ischemic stroke during the acute stage. Neurologic factors predict early mortality from intrinsic cerebral dysfunction, while non-neurologic factors, especially the associated physiologic abnormalities, predict late mortality from medical complications. Collapse Key Words Collapse MESH Headings Adult Aged Brain Ischemia/mortality Female Humans Intensive Care Units Length of Stay Male Middle Aged Stroke/mortality Collapse Grants Collapse Affiliation(s) Collapse

Number

Cited by Other Article(s)

Neurologic and non-neurologic predictors of mortality in ischemic stroke patients admitted to the intensive care unit. J Formos Med Assoc 2006;105:653-8. [PMID: 16935766 DOI: 10.1016/s0929-6646(09)60164-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open

Abstract

BACKGROUND/PURPOSE

Patients with severe strokes may have different associated medical comorbidities from those with mild strokes. This study evaluated the neurologic and non-neurologic medical predictors of mortality in patients with severe cerebral infarction in the acute stage.

METHODS

Patients admitted to a neurologic intensive care unit (ICU) due to cerebral infarction were included. Neurologic and non-neurologic predictors for in-unit mortality were determined by logistic regression analyses. Two models using (A) neurologic factors and (B) combined neurologic and non-neurologic factors as mortality predictors were developed. The performance of the models in predicting overall, neurologic and non-neurologic mortalities was compared by areas under the receiver-operating characteristic curves (AUC) of the derived regressive equations.

RESULTS

Of 231 patients with cerebral infarction admitted to the ICU, 34 (14.7%) died during ICU stay. Conscious state and acute physiologic abnormalities were significant predictors of mortality. The length of ICU stay in patients with non-neurologic mortality was longer than in those with neurologic mortality (p = 0.044). The AUC of Model B was larger than that of Model A in predicting overall (0.768 +/- 0.045 vs. 0.863 +/- 0.033, p = 0.005) and non-neurologic mortalities (0.570 +/- 0.073 vs. 0.707 +/- 0.074, p = 0.009), while there was no difference in predicting death from neurologic causes (0.858 +/- 0.044 vs. 0.880 +/- 0.032, p = 0.217).

CONCLUSION

Impaired consciousness and acute physiologic abnormalities are independent predictors of mortality for severe ischemic stroke during the acute stage. Neurologic factors predict early mortality from intrinsic cerebral dysfunction, while non-neurologic factors, especially the associated physiologic abnormalities, predict late mortality from medical complications.

Collapse