Open AccessPredictive value of the atherogenic index of plasma for chronic total occlusion before coronary angiography
Author(s) -
Liu Tong,
Liu Jinghua,
Wu Zheng,
Lv Yun,
Li Wenzheng
Publication year - 2021
Publication title -
clinical cardiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.263
H-Index - 72
eISSN - 1932-8737
pISSN - 0160-9289
DOI - 10.1002/clc.23565
Subject(s) - medicine , timi , cardiology , myocardial infarction , coronary artery disease , thrombolysis , body mass index , logistic regression , angiography
Background The atherogenic index of plasma (AIP) is calculated by logarithmic transformation of the ratio of triglyceride (TG) and high‐density lipoprotein cholesterol (HDL‐C) concentrations. Although previous studies have demonstrated that the AIP is associated with coronary artery disease, its association with chronic total occlusion (CTO) requires elucidation. Hypothesis We hypothesized that the AIP would have diagnostic value in cases of CTO and could be used to predict adverse events. Methods This study involved 1131 inpatients who underwent coronary angiography. Data on demographic and clinical characteristics, coronary artery stenosis rated by the Gensini score, and clinical assessment by the Global Registry of Acute Coronary Events and thrombolysis in myocardial infarction (TIMI) scores were collected by cardiovascular doctors. Serum AIP values were evaluated by logarithmic transformation of the ratio of TG and HDL‐C concentrations. The correlations of AIP values with clinical parameters were assessed, and receiver‐operating characteristic curves were constructed for CTO diagnosis. Results Overall, 1131 inpatients were assigned to the CTO ( n = 398) and control ( n = 733) groups. Compared with the control group, the CTO group showed a significantly higher AIP (p < .05). The AIP was positively correlated with body mass index, the TIMI score, the Gensini score, and stent length and was effective for the diagnosis and risk assessment of patients with CTO. Multivariate logistic regression analyses revealed that the AIP was an independent risk factor for CTO. The findings suggest that the AIP could predict the presence of CTO and disease severity.