1.Risk factors and construction of prediction model of early malignant ventricular arrhythmia in patients with acute myocardial infarction
Xuling GAO ; Shengzhen YANG ; Mingkai YAO ; Yan LYU
Journal of Public Health and Preventive Medicine 2025;36(6):127-131
Objective To systematically evaluate the incidence rate and predictors of early(≤48 h) malignant ventricular arrhythmia (MVA) in patients with acute myocardial infarction (AMI), and to establish and validate a clinical prediction model to assist in identifying high-risk patients. Methods The clinical data of 278 patients with AMI in the hospital from February 2023 to February 2025 were retrospectively analyzed. Based on MVA occurrence within 48 hours post-AMI, patients were divided into the MVA group (n=225 cases) and non-MVA group (n=53 cases).. The clinical data in the two groups were collected, and the predictive variables were determined by univariate Logistic analysis and multivariate Logistic regression analysis to establish a prediction model for MVA. Results The proportion of patients with Killip grade III or IV in MVA group was higher than that in non-MVA group (P<0.05), and the levels of white blood cell count (WBC), creatine kinase isoenzyme (CKMB) and troponin I (TnI) were also higher than those in non-MVA group (P<0.05) while the standard deviation of normal to normal RR intervals (SDNN) and left ventricular ejection fraction (LVEF) were lower than those in non-MVA group (P<0.05). Multivariate Logistic regression analysis showed that Killip grade≥III, high levels of WBC, CKMB and TnI and low SDNN and LVEF were independent risk factors of early MVA in patients with AMI (P<0.05). Based on the above six factors, a risk nomogram prediction model was constructed, and the model verification results showed that the area under the ROC curve (AUC) was 0.884 (95%CI: 0.835-0.932), with good model discrimination. The calibration curve was close to the ideal curve (Hosmer-Lemeshoe P=0.768), and the model had good predictive efficiency. The decision curve showed that the model had a higher predicted net benefit value (threshold=0.1-0.97). Conclusion Cardiac function Killip grade≥III, high WBC, CKMB and TnI and low SDNN and LVEF are independent risk factors of early MVA in AMI patients. The clinical prediction model based on the above variables has certain predictive value on the risk of MVA in AMI patients.
2.The Effect of Hypoxia on Anoikis in High-metastatic Human Lung Cancer Cell Line 95D
Yan WANG ; Xin CHEN ; Xuling GAO
Journal of China Medical University 2015;(5):456-460
Objective To investigate the effect of hypoxia micro?environment on anoikis in human high?metastatic cell line 95D of giant cell carci?noma of lung. Methods Suspension technology was used to culture 95D to establish the model of anoikis?resistant 95D cells. Hypoxic culture was conducted in the experimental group,and regular culture was conducted in the control group. The effect of hypoxia on proliferation of anoikis?resis?tant 95D was investigated by MTT and the apoptosis in the two groups were detected by flow cytometer. The invasive ability of the cells was assessed by Transwell test. The effect of hypoxia on the expression of HIF?1α,VEGF and MMP?2 in anoikis?resistant 95D was detected by Western blot. Re?sults The growth rate of the anoikis?resistant 95D cells treated with hypoxia was 52.9%,and the apoptosis rate of these cells was higher than that in the non?hypoxic group(40.4%vs 21.7%,P<0.05). The treatment of hypoxia down?regulated the invasive ability,the number of migration cells un?der hypoxia was higher than that in the control group,with statistical significance(40.1±6.7 vs 12.5±7.9,P<0.05). The up?regulation of HIF?1α, the down?regulation of VEGF and MMP?2 were observed in the group of hypoxia. Conclusion During anoikis of human high?metastatic lung can?cer cell line 95D,hypoxia inhibited the survival ability and the metastasis ability of anoikis?resistant cells,which,however,might be the early mani?festation of hypoxia.


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