ABSTRACT
OBJECTIVE:To investigate the influential factors of adverse drug reaction(ADR)in elderly patients during medi-cation,and to provide reference for reducing the incidence of ADR in geriatrics department. METHODS:The clinical data of elder-ly patients admitted to our hospital from Jan. 2011 to Dec. 2015 were collected and analyzed by single factor and unconditional Loigstic multiple regression analysis. The risk influential factors of ADR were investigated. RESULTS:A total of 1 680 patients re-ceived drug therapy,and the incidence of ADR was 7.92%(133/1 680). Organs/systems involved in ADR were mainly allergic re-action(49 cases,36.84%)and digestive system(48 cases,36.09%). The results of single factor analysis showed that the age of patients,drug dosage,route of administration,treatment course,the type numbers of drug combination and others were the inde-pendent influential factors of ADR. By unconditional Loigstic multiple regression analysis,it was found that the risk of ADR in-creased with the drug dosage,treatment course,intraverous administration and various drugs use,etc. CONCLUSIONS:It is nec-essary to pay attention to ADR monitoring,particularly risk factors monitoring of ADR in the elderly patients,strengthen medica-tion guidance to improve medication compliance,take the necessary preventive measures to reduce the incidence of ADR.
ABSTRACT
Objective: To evaluate the relationship between the change of left ventricular mass and arterial stiffness in the aged patients with diabetes mellitus. Methods: The pulse wave velocity (PWV) and left ventricular mass index(LVMI)were used to estimate the left ventricular mass and arterial stiffness. The relationship between LVMI and PWV and other influencing factors were evaluated with univariate analysis and stepwise regressive analysis in 105 patients with diabetes mellitus. The value of PWV was compared in the subjects of the left ventricular hypertrophy and the non- left ventricular hypertrophy groups. Results: LVMI was positively correlated with PWV, systolic blood pressure, pulse pressure,medical history and body mass index (the values of r were 0.821, 0.792, 0.799, 0.664 and 0.241 respectively,P ＜ 0.01 or P ＜ 0.05). A stepwise regression analysis was used to assess the combined influence of variables on left ventricular hypertrophy. The model included the following variables: PWV, systolic blood pressure and diabetes mellitus medical history. PWV value was significantly higher in patients with left ventricular hypertrophy than that of the patients without left ventricular hypertrophy(t = 9.109,P < 0.01). Conclusion: The increased arterial stiffness is one of the important factors which lead to the increased left ventricular mass index in aged patients with diabetes mellitus.