Effect of Carotid Atherosclerosis on Lacunar Infarction,Leukoencephalopathy and Cognition Disorders in Elderly Hypertension Patients
Bibliographic record
Abstract
Objective To investigate the relationship of carotid atherosclerosis(CA) with lacunar infarction(LI),leukoencephalopathy(LE) and cognition disorders in elderly hypertension patients.Methods A total of 64 elderly hypertension patients hospitalized in this hospital from October 2010 to December 2012 were divided,according to properties of carotid plaque,into groups A(with stable plaque,n = 27),B(with unstable plaque,n = 37);another 38 healthy elderly subjects without CA were enrolled as control group.Blood fat,blood pressure were detected,carotid ultrasound and brain CT scan carried out,cognitive function determined by Montreal Cognitive Assessment scale(MoCA scale).Results LDL level was higher in group B than in group A,HDL lower,SBP higher in group B than in control group(P 0.05).There was no significant difference in IMT of common carotid artery and internal carotid artery in 3 groups(P 0.05).The incidences of T2DM,LE and cognitive function were higher in group B than in groups A,control,and LI incidence lower than in group A,but higher than in control group(P 0.05).The incidences of T2DM,LI,LE,cognition disorders were higher in group A than in group control(P 0.05).The scores of visuospatial,executive ability,delayed recall in MoCA scale were lower in group B than in groups A,control(P 0.05).By results of linear correlation analysis,the detection rate of unstable plaque was positively correlated with incidence of LE(r = 0.187,P 0.05),negatively with HDL level(r =-0.536,P = 0.033),not linearly correlated with incidences of LI and cognition disorders(P 0.05).Conclusion The incidences of LI,LE,cognition disorders are higher in elderly patients with hypertension combined with unstable carotid plaque,and dyslipidemia is an important factor leading to CA.Lipid-lowering therapy and dietary intervention should be given when treating elderly hypertension patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 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".