1.Value of metoprolol combined with Wenxin Keli in treatment of atrial tachycardia after catheter ablation due to atrial fibrillation
Huiyang GU ; Xiang GU ; Ye ZHU
Chinese Journal of Geriatric Heart Brain and Vessel Diseases 2024;26(3):245-249
Objective To explore the therapeutic value of metoprolol combined with Wenxin Keli(a Chinese patent drug)on atrial tachycardia(AT)after catheter ablation in patients with atrial fibrillation(AF).Methods A total of 290 patients who were diagnosed with AF and underwent catheter ablation successfully in the Department of Cardiovascular Medicine of Northern Jiangsu People's Hospital from May 2018 to January 2022 were enrolled,and were randomly divided into Wenxin Granule group(Group W),metoprolol group(Group M),combined group(Group MW)and blank control group(Group C).The times of AT,heart beats during the longest AT episode,average heart rate and adverse reactions were compared among the 4 groups.Results The mean heart rate,episodes of AT,heart beats during the longest AT episode,and numbers of premature atrial contractions(PAC)of class Ⅰ,Ⅱ and Ⅲ in Group C in 1 year after operation were all sig-nificantly higher than the baseline levels(P<0.01),so were in the Group W,Group M and Group MW(P<0.01).Group MW had obviously lower mean heart rate,episodes of AT,heart beats dur-ing the longest AT episode,and numbers of PAC of class Ⅰ,Ⅱ and Ⅲ when compared with Group W and Group M(P<0.05).There was no significant difference in the total incidence of ad-verse reactions in Group W,Group M and Group MW(7.1%vs 13.9%vs 8.9%,P=0.301).Con-clusion Metoprolol combined with Wenxin Keli can be used to treat AT after AF catheter abla-tion.The combination can effectively reduce the average heart rate,episodes of AT,numbers of PAC and heart beats during the longest AT episode,and thus decrease the recurrence of postopera-tive AF with high safety.
2.Multivariate analysis and prediction model of mild cognitive impairment in patients with atrial fibrillation and diabetes mellitus
Xin HUANG ; Pu ZHANG ; Yu GAO ; Kai CHEN ; Xiaofeng LI ; Huiyang GU ; Xue LIANG
The Journal of Practical Medicine 2024;40(16):2236-2243
Objective To explore the influencing factors of mild cognitive impairment(MCI)in patients with atrial fibrillation and diabetes mellitus,and to establish the prediction model,so as to provide guidance for the treatment of MCI in patients with atrial fibrillation and diabetes mellitus.Methods 199 patients with atrial fibrillation and diabetes diagnosed in the second ward of Cardiovascular Department of the Fifth Affiliated Hospital of Zhengzhou University from January 2023 to January 2024 were analyzed.The related factors of MCI in patients with atrial fibrillation and diabetes mellitus were analyzed by univariate analysis and multivariate logistic regres-sion.According to the results of multivariate logistic regression analysis,the prediction model of MCI in patients with atrial fibrillation and diabetes mellitus was established.Results Univariate analysis showed that age(P=0.002 3),homocysteine(P<0.000 1),fasting blood glucose(P=0.022 5),glycated hemoglobin(P=0.006 6),and blood uric acid(P=0.032 2)were the influencing factors of MCI.Multivariate logistic regression analysis:age(OR=1.08,P=0.000 4),homocysteine(OR=1.37,P<0.000 1),fasting blood glucose(OR=1.22,P=0.023 5),glycated hemoglobin(OR=1.61,P=0.004 2),and blood uric acid(OR=1.29,P=0.009 1)were the independent influencing factors of MCI.The optimal threshold is when the Youden index(YI=sensitivity+speci-ficity)is maximum.At the optimal threshold,the sensitivity was 0.74,the specificity was 0.80,and the area under the curve(AUC)was 0.809,indicating that the model can effectively predict the occurrence of MCI.Conclusion Age,fasting blood glucose,blood homocysteine,blood uric acid and glycosylated hemoglobin are independent risk factors for MCI in patients with atrial fibrillation and diabetes.The clinical prediction model based on multivariate logistic regression has a certain predictive value for the occurrence of MCI in patients with atrial fibrillation and diabetes mellitus.