AI Article Synopsis

  • Decompressive craniectomy can lower the risk of death in patients with large strokes, but many still do not survive or have poor outcomes.
  • A study of 71 patients revealed an in-hospital mortality rate of 28.2%, with most survivors ending up with poor recovery scores.
  • Key predictors of mortality and recovery included the volume of brain damage seen on pre-operative CT scans and the age of the patient, highlighting the importance of these factors in treatment outcomes.

Article Abstract

Objective: Decompressive craniectomy reduces fatality in patients with space-occupying infarctions. However, mortality remains high. We aimed to identify predictors of in-hospital mortality and outcomes in a cohort of patients with large hemispheric stroke receiving decompressive craniectomy.

Methods: We retrospectively reviewed all patients diagnosed with complete middle cerebral artery infarction and receiving decompressive craniectomy. Hospital characteristics were compared among different groups (survivors versus non-survivors, good outcome versus poor outcome). A total of 71 consecutive patients were enrolled.

Results: From 2004 January to 2010 April, 71 patients were enrolled whose mean age was 65.11 ± 13.13 years and 33 (46.5%) of these were men. The in-hospital mortality was 28.2% overall. Of the patients who survived and were discharged, 37 (77.1%) had poor outcome (mRS 4-6) and 11 (22.9%) had good outcome (mRS 0-3). Pre-operation brain computed tomography (CT) hypodensity volume (p = 0.001) was significantly associated with mortality. In binary logistic regression model, pre-operation brain CT hypodensity volume (OR = 1.015; 95% CI, 1.001 to 1.030) and age (OR = 1.112; 95% CI, 1.017 to 1.215) were both significantly associated with outcomes.

Conclusions: In patients with large hemispheric stroke receiving decompressive craniectomy, pre-operation brain CT hypodensity volume was significantly associated with in-hospital mortality whereas age was not. Pre-operation brain CT hypodensity volume and age were predictors of outcomes in those who survived the acute phase.

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Source
http://dx.doi.org/10.3109/02688697.2011.641614DOI Listing

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