Melancholia incidence in the convalescence period of cerebral hemorrhage and its correlated factors
Bibliographic record
Abstract
Objective To evaluate the melancholia incidence in the convalescence period of cerebral hemorrhage and its correlated factors.Methods Ninety-eight cerebral hemorrhage patients in the convalescence period were involved in this study.Melancholia was assessed by Hamilton depression scale (HAMD),neural functional deficiency was assessed by the national institute of health stroke scale (NIHSS),cognitive function deficiency was assessed by the Montreal cognitive assessment (MoCA) and neural functional deficiency recovery was assessed by modified Rankin scale (mRS).Hemorrhagic site and blood quantity were detected with CT.The blood flow of middle cerebral artery (MCA),anterior cerebral artery (ACA),posterior cerebral artery (PCA) was detected by TCD.Results The melancholia incidence in the convalescence period was 51.0％(50/98),34.0％(17/50) in males and 68.8％(33/48) in females,there was significant difference between the two (P ＜ 0.05 ).The scores of NIHSS and mRS had significantly positive correlation with HAMD (P ＜ 0.05 ),and had significantly negative correlation with MoCA (P ＜ 0.05 ).When the hemorrhagic site was in frontal lobe and blood quantity was 20-40 ml,the melancholia incidence was increased [76.2％ (16/21),62.5％ (25/40)].The average blood velocity of MCA,ACA and PCA in melancholia patients was significantly slower than that without melancholia patients,while resistance index was significantly higher in melancholia patients (P ＜ 0.05).Conclusions Melancholia incidence in the convalescence period of cerebral hemorrhage has positive correlation with sex,NIHSS,MoCA,hemorrhagic site and blood quantity.The average cerebral blood flow in the melancholia patients is significantly slower and resistance index is significantly higher. Key words: Cerebral hemorrhage; Depressive disorder, Risk factor; Cerebral blood flow
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".