Evidence map›Paper›PMID 41126306›Full record

Observational studyCardiovascular diabetology2025

The prognostic value of atherogenic index of plasma and thin-cap fibroatheroma among patients with STEMI: an optical coherence tomography prospective cohort study of real world.

Xiaoxiao Zhao, Runzhen Chen, Nan Li, Linghan Xue, Chen Liu, Peng Zhou, Yi Chen, Shaodi Yan, Li Song, Hanjun Zhao and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Xiaoxiao ZhaoDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China.
Runzhen ChenDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China.
Nan LiDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China.
Linghan XueDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China.
Chen LiuDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China.
Peng ZhouDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China.
Yi ChenDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China.
Shaodi YanFuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, China.
Li SongDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China.
Hanjun ZhaoDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China. 15210020808@163.com.
Jiannan LiDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China. 410307263@qq.com.
Hongbing YanDepartment of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College & Chinese Academy of Medical Sciences, No.167, Beijing, 100037, China. hbyanfuwai2018@163.com.

Funding

CAMS Innovation Fund for Medical Sciences No: 2023-I2M-C&T-B-069National Natural Science Foundation of China No: 82400410Shenzhen Clinical Research Center for Cardiovascular Disease Fund No.20220819165348002
6 · The paper itself

Abstract

BACKGROUND AND

aimThis prospective study investigated plaque morphologies based on the underlying culprit lesion pathology in relation to the Atherogenic Index of Plasma (AIP) in patients with acute ST-elevated myocardial infarction (STEMI) who underwent primary percutaneous coronary intervention and optical coherence tomography (OCT) for assessment of culprit lesions. The aim of the study was to elucidate the effects of the AIP index and plaque type on the incidence of major adverse cardiovascular events (MACEs).

methodsA total of 274 patients with STEMI aged ≥ 18 years who underwent pre-intervention OCT imaging of culprit lesions between March 2017 and March 2019 were enrolled. AIP index was calculated using the formula: log 10 (triglycerides [TG]/ high-density lipoprotein cholesterol [HDL-C]). We stratified the cohort into four groups according to the presence of Thin-Cap Fibroatheroma (TCFA), as assessed by OCT, and the cutoff value of AIP: Group I consisted of patients with AIP < cutoff & without TCFA; Group II had AIP < cutoff & with TCFA; Group III included those with AIP > cutoff & without TCFA; and Group IV comprised patients with AIP > cutoff & with TCFA. OUTCOMES: Patients in Group IV exhibited a higher prevalence of Diabetes Mellitus (p = 0.012), elevated triglyceride-glucose index (TyG) levels (p < 0.001), increased LDL-C levels (p = 0.002), higher triglycerides levels (p < 0.001), and elevated total cholesterol (p = 0.001), indicating accelerated atherosclerosis. Furthermore, individuals within higher tertiles of AIP demonstrated a greater frequency of healing plaques (p = 0.021). Among patients with diabetes mellitus (DM), the AIP index exhibited a correlation with the healing of plaques (p < 0.05). Multivariable Cox regression analysis revealed that the incidence of MACEs among patients in Group IV (AIP > cutoff & with TCFA) increased by compared to those in Group I. Kaplan-Meier analyses confirmed risk stratification for MACEs based on interactions between AIP-TCFA interaction (log-rank p = 0.027), AIP-plaque interaction (log-rank p = 0.033), AIP-mixed plaque interaction (log-rank p = 0.041), AIP-lipid plaque interaction (log-rank p < 0.001), AIP- macrophage interaction (log-rank p = 0.032).

conclusionMicrostructural features observed via OCT for culprit lesions, combined with the AIP index-an important marker for cardiovascular disease-may be utilized clinically to support risk stratification and predict adverse events among STEMI patients.

Indexed as

Coronary Artery DiseaseCoronary VesselsPlaque, AtheroscleroticST Elevation Myocardial InfarctionTomography, Optical CoherenceAgedBiomarkersCholesterol, HDLFemaleFibrosisHumansIncidenceMaleMiddle AgedPercutaneous Coronary InterventionPredictive Value of TestsBiomarkersCholesterol, HDLTriglyceridesAtherogenic index of plasmaMajor adverse cardiovascular eventsOptical coherence tomographyPrognostic valueST-elevated myocardial infarction

Identifiers

PMID41126306
PMCPMC12542448

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.