Predictive ability of admission neutrophil to lymphocyte ratio on short-term outcome in patients with spontaneous cerebellar hemorrhage
Bibliographic record
Abstract
As one of the prototypical intracranial hemorrhage (ICH), spontaneous cerebellar hemorrhage (SCH) is treated with different strategies by comparing with supratentorial hemorrhage (SH). Additionally, SCH patients usually suffer from worse prognosis than patients with other types of ICH. It is well documented that the unique anatomic structures of posterior cranial fossa lead to a higher risk for brainstem compression and/or brain edema in SCH patients. Recently, neutrophil to lymphocyte ratio (NLR) was reported to possess an excellent predictive ability for the prognosis of patients with ICH, and most of those cases are SH. Thus, the potential association between NLR and the prognosis of SCH patients remains to be elucidated. Here, we aim to assess the predictive role of admission NLR and other available inflammatory parameters for the outcomes of patients with SCH.All patients with acute SCH admitting to West China Hospital from February 2010 to October 2017 were retrospectively enrolled. According to the absolute neutrophil count, absolute lymphocyte count, white blood count and absolute monocyte count extracted from electronic medical records, NLR was calculated. The multivariable logistic regression analysis was applied to analyze the associations between disease outcome and laboratory biomarkers. The comparisons of predictive powers of each biomarker were assessed by receiver operating curves (ROCs). The spearman analyses and multiple linear analyses were also conducted to identify the independent predictors for admission NLR.Admission NLR independently associated with 30-day status (odds ratio [OR] 1.785, 95% confidence interval [CI] 1.463-2.666, P <.01) and exhibited a better predictive value (AUC 0.751, 95% CI 0.659-0.830, P <.001) with the best predictive cutoff point of 7.04 in 62 patients with unfavorable outcomes. Moreover, absolute neutrophil count, absolute lymphocyte count, presence of intraventricular hemorrhage (IVH) and Glasgow coma scale (GCS) score were also correlated with admission NLR, respectively.Admission NLR is a potential marker to independently predict the 30 days functional outcome of SCH patients. Based on our results, systemic inflammation in admission might be considered as an important player in participating the pathological process of patients with SCH.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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 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".