Objective To investigate the expression levels of LINC02009 and LOC107984895 in peripheral lymphocytes of patients with atrial fibrillation and their clinical significance.Methods A total of 75 hospitalized patients with atrial fibrillation(50 with persistent atrial fibrillation and 25 with paroxysmal atrial fibrillation)from Kunming First People's Hospital between January 2023 and December 2023 were selected as study subjects,along with 50 normal control patients.Real-time quantitative PCR was used to detect the expression levels of LINC02009 and LOC107984895 in peripheral blood leukocytes of patients with atrial fibrillation.Logistic regression analysis was employed to assess the relationship between expression levels and risk factors for atrial fibrillation,and ROC curves were used to predict the diagnostic cut-off values for LINC02009 and LOC107984895 in diagnosing atrial fibrillation.Results There were statistically significant differences in baseline diseases such as hypertension and coronary heart disease,biochemical indicators such as Cr and BNP,and myocardial remodeling indicators such as LAd and LVEF between the AF(paroxysmal atrial fibrillation and persistent atrial fibrillation)group and the Normal group(P＜0.05).The expression levels of LINC02009 and LOC 107984895 in the plasma of the atrial fibrillation group were significantly higher than those in the control group(P＜0.05)and were negatively correlated with LVEF(P＜0.05).The areas under the curve(AUC)of LINC02009 and LOC 107984895 in predicting atrial fibrillation were 0.967(95％CI:0.938～0.995)and 0.900(95％CI:0.838～0.963),respectively.The optimal cut-off values were 1.985 and 0.915,with sensitivities of 88％and 76％,respectively,and specificities of 94％and 90％,respectively.Conclusion LINC02009 and LOC 107984895 are independent risk factors for atrial fibrillation and have certain predictive value for the occurrence of atrial fibrillation.

Objective To evaluated the effectiveness and safety ofLianhua Jizhi Tablets for acute trachitis and bronchitis with syndrome of phlegm-heat obstructing.Methods A randomized double-blind, placebo-controlled and multi-center clinical trial design was selected. Totally 240 cases were randomly divided into experimental group and control group, 120 cases in each group, of which 237 cases were included in the analysis of FAS. Experimental group was givenLianhua Jizhi Tablets, while control group was given placebo, 12 tablets/day, 7 days for a course. Curative effect of acute trachitis and bronchitis, TCM syndrome and disappearance of cough, cough and sputum symptom scores and area under the curve (AUC) were observed. The safety was evaluated. Results The cure rates of disease in experimental group and control group were 66.67% (78/117) and 29.17% (35/120), respectively;cure rates of TCM syndrome in experimental group and the control group were 68.38% (80/117) and 27.50% (33/120), respectively;there was statistically significant difference in area under the curve of cough and sputum symptom score between the two groups (P<0.01). Disappearance rates (cure) of daytime cough in experimental group and control group were 52.99% (62/117) and 13.33% (16/120), respectively;disappearance rates (cure) of nocturnal cough in experimental group and control group were 76.52% (88/115) and 31.90% (37/116), respectively;there were no side effects in experimental group.ConclusionLianhua Jizhi Tablets can significantly relieve clinic symptoms in the treatment of acute trachitis and bronchitis, and have good clinical efficacy and safety.

Now researches of ECG data compression mainly focus on compressing the ECG data of low sampling rate. A BW-based high sampling rate ECG data lossless compression algorithm is proposed in this paper. We apply difference operation to the original ECG data first and take part of the 16-bit binary differential value as 8-bit binary. Then the differential results are coded with the move-to-front coding method in order to make the same characters centralizing in a certain area. Last, we gain a high compression ratio by using the arithmetic coding method further. Our experimental results indicate that this is an efficient lossless compression method suitable for body surface ECG data as well as for heart ECG data. The average compression ratios come up to 3.547 and 3.608, respectively. By comparison with current ECG compression algorithms, our algorithm has gained much improvement in terms of the compression ratio, especially when applied to the high sampling rate ECG data.
Algorithms ; Data Compression ; Electrocardiography ; methods ; Humans ; Signal Processing, Computer-Assisted