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Abstract 16722: Changes in Carotid Wall Morphology and Plaque Composition in Patients With Established Vascular Disease and Treated With Intensive Lipid Therapy in the AIM-HIGH Study

2014· article· en· W2443762701 on OpenAlexaff
Xue‐Qiao Zhao, Thomas S. Hatsukami, Daniel S. Hippe, Daniel Isquith, Jie Sun, Niranjan Balu, Moni B. Neradilek, Kiyofumi Yamada, Gádor Cantón, John R. Crouse, Todd J. Anderson, John Huston, Nayak L. Polissar, Kevin D. O’Brien, Chun Yuan

Bibliographic record

VenueCirculation · 2014
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineFibrous capLumen (anatomy)Carotid arteriesInternal medicine

Abstract

fetched live from OpenAlex

Objective: Changes in carotid wall morphology (MORPH) and plaque composition (COMP) over 2 years (yrs) of intensive lipid therapy by plaque types were investigated in AIM-HIGH. Methods: Qualified baseline and 2-yr follow-up scans were obtained in 156 AIM-HIGH subjects. MR images were analyzed by independent Core Lab reviewers using published criteria for quantifications of MORPH and COMP. MORPH included volumes of total vessel (TVV), lumen (LV), wall (WV=TVV-LV) and fibrous tissue (FTV) in mm3 and %WV was calculated using the formula: (WV/TVV) X 100% in all available slices. COMP focused on percentages of lipid-rich necrotic core (%LRNC), FT (%FT) and calcium (%CA) calculated using the formula: (LRNC, FT or CA V/WV) x 100% using the slices containing LRNC. Of 156, 89 were in statin+placebo for extended-release niacin (ERN) and 67 in statin+ERN groups. Changes in MORPH and COMP were compared between the 2 treatment groups and between plaque types: w/o LRNC (n=76), w/ LRNC but w/o intraplaque hemorrhage (IPH) (n=62), w/ LRNC & IPH (n=18). Results: In the 76 subjects w/o LRNC, there were significant increases in TVV (24±52 mm3/yr, p<0.001), LV (14±40 mm3/yr, p<0.01), WV (10±26 mm3/yr, p=0.002) and FTV (10±26 mm3/yr, p=0.002) while %WV was relatively stable (0.04±1.0%, p=0.48) over 2yrs. In the 62 w/ LRNC but w/o IPH, the slices containing LRNC showed a significant decrease in %LRNC (1.05±2.6%/yr, p=0.001) and significant increases in %FT (0.85±2.7%/yr, p=0.01) and %CA (0.20±0.63%/yr, p=0.002), although corresponding MORPH did not change significantly. By contrast, LRNC plaques w/ IPH tended to increase in %LRNC (1.4±3.2/yr) and decrease in %FT (1.4±3.0%/yr). These rates were significantly different from those of the LRNC plaques w/o IPH (p=0.008 and 0.012, respectively). These MORPH and COMP measures did not differ significantly between statin+placebo and statin+ERN groups. Conclusions: Intensive lipid therapy with statin or statin plus ERN significantly associated with positive MORPH remodeling in plaques w/o LRNC. Plaques w/ LRNC experienced COMP improvement without significant MORPH changes. However, the COMP improvement was not seen in plaques w/ IPH. These results indicate that plaques in different disease stages respond to lipid therapy differently.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.007
GPT teacher head0.209
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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