P2‐160: Neutrophil‐Lymphocyte Ratio (NLR) is a Possible Prognostic Marker of Poor Cognitive Performance in Mets Patients
Bibliographic record
Abstract
Metabolic syndrome (MetS) has been known to be associated with cognitive impairment. Several studies demonstrated that mild cognitive impairment (MCI) in MetS subjects has been positively associated with hyperglycemia, hyperinsulinemia and dyslipidemia. However, a prognostic biomarker for the development of MCI in patients with MetS has not been thoroughly investigated. Much evidence showed that systemic inflammation has been known to be responsible for several pathological conditions, including diabetes, cardiovascular diseases and neurodegeneration. Recently, the neutrophil-lymphocyte ratio (NLR), an indicator for the systemic inflammation, has been used as a predicted biomarker for the development of several types of cancers (lung cancer, gastro-intestinal tracts cancer) and cardiovascular diseases. Nevertheless, the association of NLR and levels of cognitive decline in patients with MetS has not been investigated. The present study hypothesized that NLR is associated with the occurrence of MCI in patients with MetS. One-hundred and seventy MetS patients were enrolled in the present study. Average age of all patients was 60±2 years old. MetS was defined by insulin-resistant state (impaired fasting glucose) in complication with dyslipidemia and high level of body mass index (BMI). Metabolic parameters including plasma glucose, plasma lipid profiles and the complete blood count (CBC) were collected. NLR level was calculated by the ratio of neutrophil to lymphocyte level derived from CBC measurement. We compared the effect of an individual MetS components and NLR level on changes in cognitive status by using the Montreal Cognitive Assessement (MoCA) test. The prevalence of MCI, characterized by a MoCA score less than 26, in MetS patients was 94% (Fig. 1A). A negative correlation between HbA1Clevels and MoCA score was found in MetS patients (r=-0.152, p<0.05, Fig 1B). Interestingly, we found that MoCA score was significantly showed the negative correlation with NLR (r= -0.245, p<0.01, Fig. 1C). However, other MetS factors, including fasting blood glucose level, lipid profiles, body mass index and waist circumference, did not significantly predict cognitive performance. These findings suggest that poor glycemic control, by measuring HbA1C, and NLR levels predicted poorer cognitive performance outcomes in MetS patients. The amounts of T2DM patients with or without MCI condition with a total of 170 patients (A) and the correlative scatter plots between an individual MoCA score and HbAlc (B) or the NLR ratio (C). T2DM: type 2 Diabetes Mellitus; MCI: mild cognitive impairment, MoCA: Montreal cognitive assessment, HbAIC; Hemoglobin A1C, NLR: neutrophil-lymphocyte ratio.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".