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DOI: 10.1055/s-2003-41880
© Georg Thieme Verlag Stuttgart · New York
Comparison of the Claassen and Fisher CT Classification Scale to Predict Ischemia after Aneurysmatic SAH?
Vergleich zwischen der Claassen und Fisher CT-Klassifizierung zur Vorhersage von Ischämien nach aneurysmatischen Subarachnoidalblutungen?Publikationsverlauf
Publikationsdatum:
16. September 2003 (online)
Abstract
Background: Delayed cerebral ischemia (DCI) is an important cause of morbidity and mortality
after aneurysmatic subarachnoid hemorrhage (SAH). The severity of SAH, reflected by
the amount of blood in the initial CCT, is a well-established predictor of DCI and
infarction. The Fisher CT scale is widely used to predict DCI, but recent studies
criticised the scale due to the fact that this scale does not differentiate between
intracerebral blood clots and intraventricular hemorrhage. Thus Claasen et al. recently
proposed a new grading scale to predict DCI. The aim of this study was to compare
clinical scales with the CT findings and to verify this newly developed scale in a
different population in order to predict DCI.
Patients and methods: We selected from our databank of patients suffering from aneurysmatic SAH 292 cases
who had been treated between 1995 and 2000. The data acquisition included clinical
data, radiological diagnostic data, the postoperative surgical course as well as a
follow-up according to the Glasgow outcome scale.
Results: 83 out of 292 patients (28.5 %) developed ischemic lesions on the CT scans reflecting
DCI. The severity of SAH according to the Hunt and Hess grading, the Fisher CT scale
and the Claassen CT scale correlated statistically significant to DCI. All three scales
showed an increasing odds ratio, but the most consistent increase was demonstrated
by the Fisher scale.
Conclusions: The newly proposed Claassen CT scale provides no additional information and seems
not to be superior compared to the well-established Fisher scale to predict DCI.
Zusammenfassung
Hintergrund: Verzögert auftretende ischämische Läsionen (DCI) bei Vasospasmen nach aneurysmatischer
Subarachnoidalblutung (SAB) sind ein wichtiger Einflussfaktor auf die Morbidität und
Mortalität der betroffenen Patienten. Das Ausmaß der stattgehabten Blutung in der
kranialen Computertomographie, als Dicke der Blutauflagerungen abschätzbar, ist ein
etablierter Prädiktor für ischämische Läsionen. Zur Quantifizierung der SAB im CT
hat sich die Fisher-Skala bewährt. Ein Kritikpunkt an dieser Skala ist, dass sie intrazerebrale
und intraventrikuläre Einblutungen, ebenso Prädiktoren für Ischämien, nicht differenziert.
Aus diesem Grunde führten Claassen u. Mitarb. kürzlich eine neue CT-Skala ein, die
diese Prädiktoren berücksichtigt. Ziel dieser Untersuchung war es, beide Skalen und
klinische Daten zur Vorhersage von DCI an einem Patientenkollektiv zu vergleichen.
Patienten und Methoden: Zur Datenanalyse haben wir aus unserer Datenbank von Patienten mit aneurysmatischer
Subarachnoidalblutung 292 Fälle herangezogen, die wir zwischen 1995 und 2000 behandelt
hatten. Die Datenbank enthält neben klinischen und radiologischen Angaben auch den
postoperativen Verlauf und Daten zur Nachuntersuchung gemäß der Glasgow outcome scale.
Ergebnisse: 83 der 292 Patienten (28,5 %) entwickelten als Korrelat eines DCI einen Infarkt in
der CT. Sowohl der Schweregrad der SAB, gemessen als Hunt und Hess-Grad, als auch
die Fisher-Skala und die Claassen CT-Klassifizierung korrelierten zur DCI. Alle drei
Skalen zeigten eine ansteigende odds ratio, aber die Fisher-Skala zeigte die konsistentesten
Ergebnisse.
Schlussfolgerung: Die neu vorgeschlagene Claassen CT-Skala gibt im Vergleich zur Fisher-Skala keine
neuen Informationen hinsichtlich des Auftretens von DCI.
Key words
Subarachnoid hemorrhage - aneurysm - ischemia - Fisher scale
Schlüsselwörter
Subarachnoidalblutung - Aneurysma - Ischämie - Fisher-Skala
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PD Dr. Chris Woertgen
Klinik und Poliklinik für Neurochirurgie
Universität Regensburg
Franz-Josef-Strauß-Allee 11
93042 Regensburg
Germany
Telefon: +49/94 19 44 90 10
Fax: +49/94 19 44 90 02
eMail: chris.woertgen@klinik.uni-regensburg.de