Evidence map›Paper›PMID 38292824›Full record

ArticleInternational journal of general medicine2024

The Atherogenic Index of Plasma Predicts Carotid in-Stent Restenosis: Development and Validation of a Nomogram.

Yu Zhou, Yong Ma, Dongliang Qian, Zhou Zhou, Bin Li, Erqing Chai

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Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Yu Zhou *First Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China.
Yong Ma *Cerebrovascular Disease Center, Gansu Provincial Hospital, Lanzhou, People's Republic of China.
Dongliang Qian *Cerebrovascular Disease Center, Gansu Provincial Hospital, Lanzhou, People's Republic of China.
Zhou Zhou *First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, People's Republic of China.
Bin Li *Cerebrovascular Disease Center, Gansu Provincial Hospital, Lanzhou, People's Republic of China.
Erqing ChaiFirst Clinical Medical College, Lanzhou University, Lanzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore the predictive value of atherogenic index of plasma(AIP) for carotid in-stent restenosis(ISR). Methods: Patients who underwent carotid artery stenting (CAS) in hospital from January 2016 to January 2021 were retrospectively enrolled. They were randomly divided into training and validation sets. Based on the results of carotid digital subtraction angiography (DSA) during the follow-up period, the patients were divided into ISR group and non-ISR group. The differences of AIP and lipid levels between the two groups were compared. The independent risk factors of ISR and the predictive value of AIP for ISR were analyzed. A nomogram was developed based on the independent risk factors, and the receiver operating characteristic (ROC) curve, the calibration curve and the decision curve analysis were conducted to assess the predictive ability and clinical practicability of the nomogram in both the training set and validation sets. Results: A total of 361 patients were enrolled, including 98 in the ISR group and 263 in the non-ISR group. In the training set, AIP was significantly higher in the ISR group than in the non-ISR group (P < 0.05) and was independently associated with ISR (OR= 10.912, 95% CI: 2.520-47.248). When AIP was 0.10, it had the highest predictive value for ISR, with a sensitivity of 72. 1% and a specificity of 75.0%. Additionally, hypertension, residual stenosis, symptomatic stenosis and Hcy were also independent risk factors for ISR. The nomogram showed good discrimination performance and clinical practicability in both the training set (AUC = 0.827) and the validation set (AUC = 0.880). Conclusion: AIP was an independent risk factor for ISR and was closely related to ISR. The nomogram developed by AIP and other variables had good predictive ability and clinical practicability for ISR.

Indexed as

atherogenic index of plasmacarotid in-stent restenosiscarotid stenosisneurointerventionnomogram

Identifiers

PMID38292824
PMCPMC10824612

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