Relationship between High Sensitivity-C Reactive Protein Level and Impaired Cognitive Function in HIV Patients
Bibliographic record
Abstract
Human Immunodeficiency Virus (HIV) infection was one of the most serious health challenges in the world. The Ministry of Health of the Republic of Indonesia reports the number of HIV cases in Indonesia as of June 2019 as many as 349,882. At present, although antiretroviral combination therapy has been found, the prevalence of neurocognitive disorders in the form of HIV-associated neurocognitive disorders (HAND) reaches 50% of HIV patients. This study aimed to determine the relationship between high sensitivity-C Reactive Protein (hs-CRP) level and cognitive impairment assessed using MoCA-INA score in HIV patients at the UPIPI Dr. Soetomo Academic Hospital Surabaya. This cross-sectional study used consecutive sampling that fulfilled inclusion and exclusion criteria. The cognitive function of the subjects was examined by MoCA-INA score and blood samples were collected for measuring hs-CRP level. Of 100 subjects, 41 had abnormal MoCA-INA score and 59 had normal score. The number of subjects with high level of hs-CRP (>= 5) who had abnormal and normal MoCA-INA score were 22 (53,7%) and 6 (10,2%) respectively. This result was significantly difference with p = 0,0001, RO = 28,072 (95% CI, 5,470-144,052). Therefore, there was a significant relationship between hs-CRP level and cognitive function, where a subject with a high hs-CRP level was more likely to have impaired cognitive function.
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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 | 0.001 |
| 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 | 0.000 |
| 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".