Differences peripheral of blood in HIV patients with and without cognitive disorders at “Prof. Dr. IGNG Ngoerah” Hospital
Bibliographic record
Abstract
Background and objective. The prevalence of mild neurocognitive Disorder (MND) has increased after using antiretroviral therapy (ARV), which is around 51.5%. Inflammation plays an essential role in the neurodegenerative state of HIV patients. Peripheral blood images can assess increased macrophage activation by evaluating the number of leukocytes, neutrophils, total lymphocytes, hemoglobin, platelets, platelets, and neutrophil-lymphocyte ratio (NLR) to determine the condition of systemic inflammation in HIV patients with cognitive impairment. This study to know differences in the appearance of peripheral blood in HIV patients with and without cognitive impairment. Method. Observational analytic study with a cross-sectional design on 44 HIV patients who were outpatients at the polyclinic Voluntary Counseling and Testing (VCT) at Prof Dr. IGNG Ngoerah Denpasar Hospital. Subjects were divided into 2 groups based on cognitive status assessed using the MoCA-INA questionnaire. The peripheral blood images considered were the average levels of leukocytes, neutrophils, lymphocytes, hemoglobin, hematocrit, platelets, and the ratio of neutrophils to lymphocytes. Results. 31-40 years old, male, with >9 years of education, has a CD4 count >200, and has received ARV therapy >1 year. The Shapiro-Wilk normality test performed on both groups showed that the data were normally distributed with p>0.05. Bivariate analysis using an independent t-test with a 95% confidence level (α=0.05) found significant differences in mean leukocyte, neutrophil, lymphocyte, and neutrophil-lymphocyte ratios (p<0.05) between groups of HIV patients with cognitive impairment and no cognitive impairment. Conclusion. Inflammatory markers from the peripheral blood picture are increased in HIV-infected persons.
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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 | 0.001 | 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) | 0.003 | 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".