NDLI: A model combining rest-only ECG-gated SPECT myocardial perfusion imaging and cardiovascular risk factors can effectively predict obstructive coronary artery disease

Content Provider	Springer Nature : BioMed Central
Author	Liu, Bao Yu, Wenji Wang, Jianfeng Shao, Xiaoliang Zhang, Feifei Zhou, Mingge Shi, Yunmei Wang, Bing Xu, Yiduo Wang, Yuetao
Abstract	Objective The rest-only single photon emission computerized tomography (SPECT) myocardial perfusion imaging (MPI) had low sensitivity in diagnosing obstructive coronary artery disease (CAD). Improving the efficacy of resting MPI in diagnosing CAD has important clinical significance for patients with contraindications to stress. The purpose of this study was to develop and validate a model predicting obstructive CAD in suspected CAD patients, based on rest-only MPI and cardiovascular risk factors. Methods A consecutive retrospective cohort of 260 suspected CAD patients who underwent rest-only gated SPECT MPI and coronary angiography was constructed. All enrolled patients had stress MPI contraindications. Clinical data such as age and gender were collected. Automated quantitative analysis software QPS and QGS were used to evaluate myocardial perfusion and function parameters. The least absolute shrinkage and selection operator (LASSO) and multivariable logistic regression were used to select the variables and build the prediction model. Results Among the enrolled 260 patients with suspected CAD, there were 95 (36.5%, 95/260) patients with obstructive CAD. The prediction model was presented in the form of a nomogram and developed based on selected predictors, including age, sex, SRS ≥ 4, SMS ≥ 2, STS ≥ 2, hypertension, diabetes, and hyperlipidemia. The AUC of the prediction model was 0.795 (95% CI: 0.741–0.843), which was better than the traditional models. The AUC calculated by enhanced bootstrapping validation (500 bootstrap resamples) was 0.785. Subsequently, the calibration curve (intercept = − 0.106; slope = 0.843) showed a good calibration of the model. The decision curve analysis (DCA) shows that the constructed clinical prediction model had good clinical applications. Conclusions In patients with suspected CAD and contraindications to stress MPI, a prediction model based on rest-only ECG-gated SPECT MPI and cardiovascular risk factors have been developed and validated to predict obstructive CAD effectively.
Related Links	https://bmccardiovascdisord.biomedcentral.com/counter/pdf/10.1186/s12872-022-02712-8.pdf
Ending Page	10
Page Count	10
Starting Page	1
File Format	HTM / HTML
ISSN	14712261
DOI	10.1186/s12872-022-02712-8
Journal	BMC Cardiovascular Disorders
Issue Number	1
Volume Number	22
Language	English
Publisher	BioMed Central
Publisher Date	2022-06-15
Access Restriction	Open
Subject Keyword	Cardiology Cardiac Surgery Angiology Blood Transfusion Medicine Internal Medicine Medicine Public Health Myocardial perfusion imaging SPECT Prediction model Coronary artery disease Medicine/Public Health
Content Type	Text
Resource Type	Article
Subject	Cardiology and Cardiovascular Medicine
Journal Impact Factor	2/2023
5-Year Journal Impact Factor	2.3/2023

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