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1.
Journal of Gorgan University of Medical Sciences. 2015; 16 (4): 116-120
em Persa | IMEMR | ID: emr-151194

RESUMO

Anti tuberculosis drugs therapy is the most effective method for controling the tuberculosis [TB]. Early detection and appropriate treatment can prevent the TB-drug resistance. This study was carried out to determine the complications leading to hospitalization due to consumption of anti-TB drugs in patients with tuberculosis. In this descriptive-analytic study, 1550 records of patients with TB in urban and rural health centers of Gorgan, north of Iran were assessed during 2007-12. Checklist consists of demographic and clinical data for each patient was recorded in a questionare. 44 cases experienced the complications of anti-TB drugs. 27 [61.4%] of cases with complications were women. 77.3% and 22.7% of patients affected with pulmonary and extra pulmonary tuberculosis,respectively. 38.6% of patients were diabetic. The hepatic complication was seen in 37 cases [84.1%]. Skin and other complications were seen in 5 and 2 cases, respectively. There was not any relationship between drug complications and other disases. Hepatic damage is the most common complication leading to hospitalization in tuberculosis patients using anti-TB drugs

2.
Journal of Sabzevar University of Medical Sciences. 2013; 20 (4)
em Persa | IMEMR | ID: emr-180102

RESUMO

Background: The number of hospitalization days is an important issue for the hospital managers, patients and their families. Regarding to the importance of this issue and few similar researches, this study aimed to model the number of hospitalization days for myocardial infarction [MI] patients admitted in Vasei hospital of Sabzevar, and to investigate its effective factors


Material and Methods: This descriptive-analytical study was performed to model the number of hospitalization days for myocardial infarction [MI] patients admitted in Vasei hospital of Sabzevar, in 2012. By using census method, 201 patients were entered to this study and the value of the length of hospitalization as the response variable, and the value of gender, age and residence location of the patients as the independent variables are considered. The data were analyzed using an advanced and new model, zero-truncated generalized poisson regression model, and SAS9.2 software


Results: The results showed that the average length of hospitalization of MI patients was 4.876 days in Vasei hospital. Also, it was found that one year increase in age was related to one day increase in hospitalization of the MI patients. Moreover, the regression models predicted that the average length of hospitalization for female patients was less than male patients, and the average length of hospitalization for the urban residence patients was less than those of rural residence


Conclusions: In this study, a suitable statistical method for analyzing and modeling of hospitalization days was obtained. Because of differences in hospitalization days in different units of hospitals, use of these advanced statistical models is proposed for another hospitals and cities

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