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《YiNanBing ZaZhi》2023 Vol.22,No.8
  • The predictive value of serum endocan combined with CHI3L1 for stent restenosis and long-term prognosis after coronary heart disease PCI surgery
    Author:Li Hongchao Chen Jingbo Yu Xiaona Lyu Zhonghua Ren Zifu keyword: Coronary heart disease; Endothelial cell specific molecule; Chitosanase 3-like protein 1; Percutaneous coronary intervention; In-stent restenosis; Prognosis;
    Objective To investigate the predictive value of serum endothelial cell specific molecule(endocan) combined with chitosanase 3-like protein 1(CHI3L1) for in stent restenosis(ISR) and long-term prognosis after percutaneous coronary intervention(PCI) in patients with coronary heart disease. Methods From September 2015 to September 2017, 400 patients with coronary heart disease were admitted to the Cardiovascular Department of the 92493 Military Hospital of the People's Liberation Army as the study group, and 100 healthy people in the hospital during the same period were selected as the healthy control group. All patients with coronary heart disease underwent PCI treatment, and were divided into ISR subgroups(n=73) and non ISR subgroups(n=327) based on the occurrence of ISR after surgery. Patients were followed up for 5 years and divided into subgroups with poor prognosis(n=53) and subgroups with good prognosis(n=328) based on different prognosis. Use enzyme-linked immunosorbent assay to detect serum levels of endocan and CHI3L1. The predictive value of serum endocan and CHI3L1 for postoperative ISR and poor prognosis was analyzed using the receiver operating characteristic(ROC) curve. Logistic regression model was used to analyze the influencing factors of poor prognosis after PCI for coronary heart disease. Results The serum endocan and CHI3L1 levels in the ISR subgroup and non ISR subgroup were higher than those in the healthy control group, and the ISR subgroup levels were higher than those in the non ISR subgroup(F/P=98.163/<0.001,1 105.673/<0.001). Logistic regression analysis showed that older age, diabetes, hyperlipidemia, high degree of coronary artery stenosis, high preoperative Gensini score, high BUN level, high TC level, high LDL-C level, high endocan level and high CHI3L1 level were risk factors for poor prognosis of coronary heart disease patients after PCI [OR(95% CI)=1.048(1.012-1.086), 1.795(1.328-2.425), 1.641(1.259-2.137) 1.081(1.023-1.142), 1.034(1.013-1.055), 1.097(1.030-1.170), 1.102(1.047-1.159), 1.139(1.048-1.238), 2.025(1.319-3.112), 1.056(1.018-1.094)]. ROC analysis showed that the area under the curve(AUC) of serum endocan, CHI3L1, and their combined diagnostic evaluation models for the diagnosis of ISR after coronary heart disease PCI were 0.726, 0.752, and 0.806, respectively. The combined evaluation models of the two had higher diagnostic value(Z/P=2.241/0.025, 2.144/0.032); The AUC values of serum endocan, CHI3L1, and their combined predictive models for predicting poor prognosis after PCI were 0.721, 0.721, and 0.797, respectively. The combined predictive models of the two had higher predictive value(Z/P=2.044/0.041, 1.986/0.047). Conclusion The increase in serum levels of endocan and CHI3L1 in patients with coronary heart disease is related to the occurrence of ISR after coronary heart disease PCI, and is a influencing factor for poor prognosis after coronary heart disease PCI. Detecting serum levels of endocan and CHI3L1 can assist in predicting the occurrence of ISR and poor prognosis after coronary heart disease PCI.
  • Relationship between Troponin, SNYTAX score, GRACE score and revascularization after PCI in elderly patients with coronary heart disease
    Author:Zhou Xiaodan Wang Yan Xiang Jun Xiang Chuhan Tian Jing Pan Defeng keyword:Coronary heart disease(CHD); Percutaneous coronary intervention(PCI); Revascularization; Troponin Ⅰ(cTnⅠ); Global Registry of Acute Coronary artery disease(GRACE); Predictive value; Elderly;
    Objective To explore the relationship between Troponin I(cTnI), SNYTAX score, Global Registry of Acute Coronary artery disease(GRACE) score and revascularization after PCI in elderly patients with coronary heart disease.Methods From January 2016 to January 2021, 300 elderly patients with coronary heart disease treated by PCI were selected from the Department of Cardiology of the Seventy First Army Hospital of the 71st Group Army. Based on the results of coronary angiography after PCI, they were divided into 91 patients in the revascularization group(Group A) and 209 patients in the non-revascularization group(Group B). Compare the clinical data, cTnI, SNYTAX scores, and GRACE scores of two groups of patients, conduct logistic regression analysis on the influencing factors of revascularization, and analyze the efficacy of cTnI, SNYTAX scores, and GRACE scores in diagnosing revascularization using receiver operating characteristic curve(ROC) analysis.Result The cTnI level, SNYTAX score, and GRACE score in Group A were higher than those in Group B(t=4.802, 10.080, 8.744, P<0.001). High cTnI, SNYTAX score, and GRACE score were all risk factors affecting revascularization [OR(95% CI)=7.581(1.655-9.558), 2.585(2.055-5.065), 1.832(1.234-4.276)]; The Receiver operating characteristic analysis showed that the area under the curve(AUC) of high cTnI, SNYTAX score, GRACE score and joint detection of the three were 0.628, 0.802, 0.795 and 0.876, respectively, which were better than their individual predictive values(Z=6.823, 3.064, 3.589, P<0.001). Conclusion cTnI, SNYTAX score, and GRACE score are related to revascularization after PCI in elderly patients with coronary heart disease. Combined detection of these indicators can serve as predictive indicators for revascularization.
  • Serum Neu5Ac, MIP-1 α Analysis of the relationship between left atrial remodeling and recurrence after radiofrequency ablation in patients with paroxysmal Atrial fibrillation
    Author:Zhu Hongsong Pan Fei Hu Mengting Gan Jiaqi Liu Mei keyword:Paroxysmal atrial fibrillation; N-acetylneuraminic acid; Macrophage inflammatory protein-1α; Left atrial remodeling; Recurrence;
    Objective To explore the relationship between serum N-acetylneuraminic acid(Neu5Ac), macrophage inflammatory protein-1α(MIP-1α) and left atrial remodeling and recurrence after radiofrequency ablation of patients with paroxysmal atrial fibrillation(PAF). Methods 143 patients with PAF admitted to Minhang Hospital affiliated with Fudan University from January 2021 to January 2022 were selected as the PAF group, while 70 healthy individuals who underwent physical examination at the hospital were selected as the healthy control group during the same period. Compare the serum Neu5Ac and MIP-1 levels between two groups α Horizontal, left atrial remodeling indicators [left atrial end systolic diameter(LAD), left atrial volume index(LAVI)]. Analysis correlation between level of serum Neu5Ac and MIP-1 and left atrial remodeling indicators using Pearson's method. All patients underwent radiofrequency ablation and were followed up for 12 months. They were divided into recurrent subgroups and non-recurrent subgroups based on the occurrence of recurrence. Using a multivariate logistic regression model to analyze the risk factors of recurrence in patients with PAF after radiofrequency ablation. Results Serum Neu5Ac and MIP-1 in the PAF group α The level was higher than that of the healthy control group(t=5.743, 18.710, P<0.001). The LAD and LAVI values in the PAF group were higher than those in the healthy control group(t=5.177, 32.473, P<0.001). Pearson method analysis showed that serum Neu5Ac and MIP-1 α were positively correlated with LAD and LAVI(r=0.496, 0.548, 0.513, 0.505, P<0.001). After a follow-up of 12 months, there were no lost contacts and 38 cases(26.57%) experienced recurrence. Compared with the non-recurrent subgroup, the recurrent subgroup has a high proportion of hypertension cases and a low proportion of postoperative use of Antiarrhythmic agent(χ2=5.294, 4.500, P=0.021, 0.034), LAD, LAVI, WBC, SCr, and serum Neu5Ac, MIP-1 αwere all high, and the differences were statistically significant(t=3.468, 13.508, 3.982, 5.260, 4.671, 3.745, all P<0.001); Logistic regression analysis showed that concomitant hypertension, increased LAD and LAVI, Neu5Ac and MIP-1 α The increase of PAF level was the risk factor for postoperative recurrence of PAF patients, and the use of Antiarrhythmic agent was the protective factor [OR(95% CI)=1.297(1.077-1.561), 1.064(1.007-1.124), 1.049(1.011-1.088), 1.034(1.007-1.061), 1.339(1.145-1.566), 0.583(0.412-0.823)].Conclusion Serum Neu5Ac, MIP-1 α The increase in levels in PAF patients can lead to left atrial remodeling, which is a influencing factor for recurrence after radiofrequency ablation in PAF patients.
  • The expression of MHR, NLR, and GPR in patients with unstable angina pectoris and their relationship with the degree of coronary artery disease
    Author:Liu Pei Xiao Xiaoxia Wang Yong Zhang Yumin Dai Bo Li Hui Duan Yong Li Jiao keyword: Angina pectoris,unstable; Monocyte/high-density lipoprotein ratio; Neutrophil to lymphocyte ratio; γ-glutamyltransferase to platelets ratio;
    Objective To evaluate the ratio of Monocyte to High-density lipoprotein(MHR), neutrophil to lymphocyte(NLR) and γ-The expression of glutamyltransferase to platelet ratio(GPR) in patients with unstable angina pectoris(UAP) and its relationship with the degree of coronary artery disease.Methods Retrospective analysis of 110 UAP patients admitted to the Cardiovascular Department of the Third Hospital of Changsha from June 2021 to December 2022 was conducted as the UAP group, and 95 health examinees in the same period were selected as the healthy control group. Compare the levels of MHR, NLR, and GPR between two groups and patients with different degrees of coronary artery stenosis in UAP. Pearson test is used to analyze the correlation between MHR, NLR, and GPR and the degree of coronary artery stenosis. The receiver operating characteristic curve(ROC) is drawn to test the predictive effect of the three on the degree of coronary artery stenosis in UAP. Results The MHR, NLR, and GPR of the UAP group were higher than those of the healthy control group(t=25.833, 68.758, 20.684, P<0.001). Comparison of MHR, NLR, and GPR levels among patients with different Gensini scores, mild subgroup
  • The value of cardiovascular disease risk assessment of psoriasis patients based on Big data mining
    Author:Han Haijun Ji Yan Zhang Chenghui Liu Hongxia keyword:Psoriasis; Cardiovascular Disease; Big Data; Framingham score; Decision curve; Risk evaluation;
    Objective To analyze the occurrence of cardiovascular diseases(CVD) in psoriasis patients through big data and to establish a big data risk model to assess the risk of CVD development in psoriasis patients. Methods The clinical data of 2500 patients with psoriasis who were treated in the Dermatology Department of the Affiliated Hospital of Traditional Chinese Medicine of Xinjiang Medical University from January 2014 to January 2018 were collected. The patients were divided into CVD group and non-CVD group according to whether they had CVD after 5 years of follow-up. The clinical and laboratory data of the patients in the two groups were compared; Using multivariate logistic regression analysis to identify the risk factors for CVD in psoriasis patients; The Big data risk model was established through Random Forest algorithm, and the decision curve was used to analyze the evaluation value of big data risk model for CVD risk of psoriasis patients. Results Following a 5-year follow-up, 350 new cases of CVD were found in 2500 psoriasis patients. Based on this grouping, clinical data were compared, and the age, PASI score, FRS score, CRP, IL-17, IL-22, TNF of the CVD group were determined-α And IgG levels were higher than those in the non CVD group, while CD4+levels were lower than those in the non CVD group(χ2/t=9.467, 10.512, 12.158, 15.492, 10.677, 13.496, 15.023, 8.194, all P<0.001); Multivariate logistic regression analysis showed that older age, higher PASI score, FRS score, CRP, IL-17, IL-22, TNF-α High and IgG levels are independent risk factors for CVD in psoriasis, while low CD4+levels are independent protective factors for CVD in psoriasis [OR(95% CI)=1.051(1.035-1.068), 1.083(1.061-1.106), 1.245(1.176-1.318), 1.429(1.334-1.532), 1.142(1.106-1.179), 1.170(1.133-1.209), 1.370(1.218-1.464), 1.601(1.469-1.745), 0.947(0.929-0.965)]; The importance of each variable in the Big data model is in the order of CRP, IgG, TNF-α、 FRS score, IL-17, PASI score, IL-22, CD4+, age; Receiver operating characteristic shows that the AUC of Big data model based on Random forest algorithm to predict the risk of new CVD in psoriasis patients is 0.988(95% CI=0.955~0.999, P<0.001); The analysis of the decision curve shows that, compared with the FRS score, the Big data model based on Random forest algorithm has a higher predictive ability for the risk of new CVD in psoriasis patients. Conclusion Psoriasis patients have a high risk of new CVD. Building a Big data risk model based on Random forest algorithm can improve the accuracy of early assessment of CVD risk of psoriasis patients.