Objective:To establish an HPLC method for the determination of thymol in thymol alcoholic solutions. Methods: An Agilent Eclipse XDB-C18(250 mm ×4.6 mm,5μm) column was used with the mobile phase of methanol-water (65∶35), the flow rate was 1. 0 ml·min-1 . the detection wavelength was 275nm, the injection volume was 10μl, and the column tenperature was 25℃. Re-sults:A good linear correlation of thymol was observed within the range of 60-160 μg·ml-1(r=0. 999 5). The average recovery was 101. 59% with RSD of 1. 39%(n=9). Conclusion:The method is quick, simple and accurate, which can be used in the determina-tion of thymol alcoholic solutions with good selectivity and sensitivity.

Objective To explore the correlation between hypokalemia and sudden death in young and middle-aged people. Methods One hundred and twenty-nine young and middle-aged patients with sudden death during treatment were selected as observation group. Then 100 cases of healthy volunteers were randomly selected as control group. The incidence of cardiovascular disease, incidence of hypokalemia and intake of potassium were compared between 2 groups. Results The incidences of hypertension, arrhythmia, myocardial infarction, heart failure and hypokalemia in observation group were significantly higher than those in control group: 17.05% (22/129) vs. 5.00%(5/100), 13.18% (17/129) vs. 2.00% (2/100), 26.36% (34/129) vs. 9.00% (9/100), 9.30% (12/129) vs. 1.00% (1/100) and 55.04% (71/129) vs. 12.00% (12/100), and there were statistical differences (P<0.01). The ratios of higher, common, lower intake of potassium in observation group were 1.55%(2/129), 27.91% (36/129) and 70.54%(91/129), in control group were 15.00% (15/100), 58.00% (58/100) and 27.00% (27/100), and there was statistical difference (P<0.01). Logistic regression analysis result showed that hypertension, arrhythmia, myocardial infarction, heart failure, hypokalemia and lower intake of potassium were the risk factor for sudden death (P<0.01). The incidences of hypertension, arrhythmia, myocardial infarction and heart failure in hypokalemia patients were significantly higher than those in normokalemia patients: 28.92% (24/83) vs. 2.05% (3/146), 19.28% (16/83) vs. 2.05% (3/146), 44.58%(37/83) vs. 4.11% (6/146) and 13.25% (11/83) vs. 1.37% (2/146), and there were statistical differences (P<0.01). The incidence of hypokalemia in people with lower intake of potassium was significantly higher than that in people with higher and common intake of potassium: 56.78% (67/118) vs. 2/17 and 14.89%(14/94), and there was statistical difference (P<0.01). Conclusions There is a significant correlation between hypokalemia and sudden death in young and middle-aged people. Preventive measures of sudden death should be made according to serum potassium level in clinic. People should pay attention to the uptake of potassium in daily life.

OBJECTIVE To create a highly effective algorithm for automatically generating easily confused drug catalogs （ECDC）， as well as to develop a management system for ECDC based on this algorithm， in order to improve the management efficiency of ECDC. METHODS This study， based on Levenshtein distance algorithm， delved deeply into the automatic identification mechanism of easily confused drugs and the screening method for determining similarity thresholds， ultimately leading to the development of an algorithm for automatically generating ECDC. Besides a management system was designed and developed， using SQL Server 2008 R2 Express as the data storage platform and Visual Basic.NET as the programming language. RESULTS The similarity threshold δ played a crucial role in the algorithm for automatically generating ECDC. As the value of δ gradually increased， the total count of easily confused drugs decreased gradually， while the count of drug groups exhibited a pattern of initially increasing and then decreasing. Practically， ECDC could be created using either the generic or varietal names of drugs， with corresponding similarity thresholds of 0.75 and 0.83. Furthermore， ECDC management system had significantly reduced the time required to establish a catalog from about one week to less than one hour， resulting in a substantial enhancement in work efficiency. CONCLUSIONS The algorithm used to automatically generate ECDC is highly efficient and rapid， offering robust technical assistance for the management of easily confused drugs. Implementing the ECDC system can greatly reduce the time cost related to building and maintaining the catalogs， thus significantly improving the efficiency of managing ECDC.