Background and Aims. Lipid metabolism plays important roles in atherosclerosis. Several studies have found that lipoprotein is associated with coronary artery disease (CAD) and hyperlipidemia. Although the roles of the apolipoprotein B/A1 ratio (ApoB/A1) were originally thought to be atherosclerotic, few studies have focused on the specific relationship between ApoB/A1 and severity of coronary artery stenosis with or without the presence of CAD. Methods. A total of 6956 consecutive patients aged 21–98 years with suspected CAD who had undergone coronary angiography were enrolled. The severity of coronary lesions was evaluated using the Gensini score (GS). The relationships between ApoB/A1 and severity of coronary artery stenosis were evaluated. Results. A total of 1795 non-CAD patients and 5161 CAD patients were included in the observational analysis. Patients with CAD had higher ApoB/A1 than individuals without CAD (0.67 (0.53-0.82) vs. 0.61 (0.49-0.75), p < 0.001 ). In CAD patients, the higher the ApoB/A1 was, the higher the proportion of patients with MI, triple-vessel lesions, and higher Gensini scores. ApoB/A1 was significantly positively correlated with HbA1c and Gensini scores in CAD patients but not in non-CAD patients (all p < 0.001 ). Logistic analyses showed that ApoB/A1 could be a risk factor for multivessel disease (OR: 2.768, 95% CI: 1.868-4.103, p < 0.001 ). ApoB/A1 was found to be significantly positively correlated with the Gensini score in CAD patients. Conclusions. ApoB/A1 is highly associated with the presence and severity of coronary artery stenosis in patients with CAD but not in non-CAD patients.

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The study area of this paper is the Qinghai alpine agricultural mountain area. An ecological security early-warning model is used to identify the early warning signs of ecosystem destruction, environmental pollution and resource depletion in districts and counties from 2011 to 2018. A combination of qualitative and quantitative early-warning models is used to predict the existence of hidden or sudden advance warnings. The grey (1, 1) model (GM) is used to predict the evolution trend of ecological security warning situations from 2019 to 2021. On this basis, GIS technology is used to analyze the spatial pattern changes in three periods. The results show that from 2011 to 2018, the ecological environment in Qinghai’s alpine agricultural mountainous area gradually improved. In 2018, the ecological security early-warning values of all districts and counties were greater than the 2011 values. However, in 2018, the ecological security early-warning levels of PA, LD and HZh (PA, LD and HZh refer to Ledu District, Ping’an District and Huzhu Tu Autonomous County respectively.) were in the “good” ecological early-warning state, while the ecological security levels of other cities were still in the “moderate” or “mild” ecological warning state. According to the prediction results, the early-warning level of ecological security in Qinghai’s alpine agricultural mountainous areas will improve further in 2021, with the “good” states dominating. From a spatial perspective, the ecological environment in the northeast region is better than that in the southern region, and the internal differences in the ecological security early-warning levels tend to narrow. Thus, we propose that areas with different ecological security levels should focus on the management and protection of the ecological environment or carry out ecological restoration or reconstruction. The aim of this paper is to provide a reference for the improvement of the ecological environment in general and the sustainable development of the economy and society as well as the ecological environment of alpine agricultural mountainous areas in particular.

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