Retrospective analysis of the surgical management of spontaneous supratentorial intracerebral hemorrhage: A single-center study
Bibliographic record
Abstract
BACKGROUND: Intracerebral hemorrhage (ICH) remains a devastating disease with high morbidity and mortality. The mortality rate ranges from 40% at 1 month to 54% at 1 year, and only 12%-39% achieve good outcomes and functional independence. The current management guidelines for spontaneous supratentorial ICH are still controversial. OBJECTIVE: Patients who presented with ICH and underwent craniotomy with hematoma evacuation or minimal procedures from January 2016 to May 2020 were included in the analysis. Several clinical, radiological, and surgical variables were collected to identify the variables most likely related to lower mortality and better functional outcomes. RESULTS: A total of 87 patients presented with HMC with ICH from January 2016 to May 2020. The mean age was 44.7 (42.2-47.2) years. There were 76 male (87.4%)/11 female (12.6%) patients, which reflect the population distribution in Qatar, which is mainly male predominant. Although Qatar is mainly a Middle-Eastern country, the ethnic distribution of patients was mainly of South Asian and Indian (60.9%) and Far-Eastern (20.7%) ethnicities because of diversity. The mean baseline Glasgow coma scale (GCS) was 8.2+/ - 3.7. The mean baseline functional independence measure (FIM) score was 59.4+/ - 36.7. Most hematomas were located in the basal ganglia (79.3%%). Baseline characteristics based on long-term outcomes are summarized in Table 1. The following variables were correlated with poor outcome: low GCS on postoperative day 1 (P = 0.06), low FIM score (P = 0.006), ICH location (P = 0.04), distance of the closest point to the surface (P = 0.009), and presence of uncal herniation (P = 0.04). The baseline characteristics based on mortality are outlined in Table 2. The following variables were correlated with mortality: diabetes mellitus (P = 0.02), baseline GCS (P = 0.04), GCS on postoperative day 1 (P = 0.002), unequal pupils (P = 0.05), and postoperative midline shift (P = 0.001). CONCLUSION: The preoperative clinical neurological status as well as mass effect (uncal herniation and midline shift) can be determinants of functional outcome and mortality. A deeper hematoma may result in poor functional outcome because of more surgical damage in functional brain tissues. Thus, the goal of surgery in spontaneous supratentorial ICH is to reduce mortality, but no evidence support that it can improve functional outcome. Although our findings are interesting, more prospective studies with a larger sample size are needed to confirm our results.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".