Quality of Life Following Hemicraniectomy for Malignant MCA Territory Infarction
Bibliographic record
Abstract
OBJECTIVE: Decompressive hemicraniectomy (DH) has been shown to reduce mortality in patients with malignant middle cerebral artery (MCA) territory infarction. However, many patients survive with moderate-to-severe disability and controversy exists as to whether this should be considered good outcome. To answer this question, we assessed the quality of life (QoL) of patients after DH for malignant MCA territory infarction in our milieu. METHODS: The outcome of all patients undergoing DH for malignant MCAterritory infarction between 2001 and 2009 was assessed using retrospective chart analysis and telephone follow-up in survivors. Functional outcome was determined using Glasgow outcome scale, modifed Rankin scale (mRS), and Barthel index (BI). The stroke impact scale was used to assess QoL. RESULTS: There were 14 patients, 6 men and 8 women, with a mean age of 44 years (range 27-57). All patients had reduced level of consciousness preoperatively. Five had dominant-hemisphere stroke. Median time to surgery was 45 hours (range 1- 96). Two patients died and one was lost to follow-up. Of 11 survivors, 7 (63.6%) had a favorable functional outcome (mRS<4). No patient was in persistent vegetative state. Despite impaired QoL, particularly in physical domains, the majority of interviewed patients and caregivers (7 of 8), including those with dominant-hemisphere stroke, were satisfied after a median follow-up of 18 months (range 6-43). CONCLUSION: Most patients report satisfactory QoL despite significant disability even in the face of moderate-to-severe disability and dominant-hemsiphere stroke. Dominant-hemisphere malignant MCA territory infarction should not be considered a contraindication to DH.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".