The biochemical modifications were correlated with histopathological studies. We concluded that 2,4-D induced hepatotoxicity in adult and suckling rats. (c) 2010
Wiley Periodicals, Inc. Environ Toxicol, 2012.”
“Objective. Steinstrasse is a well-known complication following extracorporeal shockwave lithotripsy (ESWL). The objective of this study was to evaluate the efficacy of tamsulosin as a management of steinstrasse. Material and methods. 88 patients with unilateral steinstrasse were treated between January 2005 mTOR inhibition and December 2008. The patients were randomly allocated into two equal groups. There were no significant differences between groups for age, gender, stone location, stone length or stone fragment size (p > 0.05). Patients in group 1 (study group) received a single daily morning dose of tamsulosin (0.4 mg) for a maximum of 4 weeks, in addition to pain-relieving therapy. Patients in group 2 (control group) received only the pain-relieving therapy. All patients were checked weekly with a plain X-ray of the urinary tract, urinary ultrasonography, urine analysis and serum creatinine. Pain episodes, day of spontaneous stone expulsion, total analgesic dosage and drug side-effects were recorded. Results.
Stone expulsion occurred in 32 of the 44 patients (72.7%) receiving tamsulosin and in 25 of the 44 patients (56.8%) in the control group. Patients CB-5083 ic50 receiving tamsulosin had a significantly higher stone expulsion rate (p = 0.017). There see more were no significant differences between groups for mean stone expulsion time or number of analgesics used. Twelve patients (27.3%) in the group receiving tamsulosin and 19 patients (43.3%) in the control group needed hospitalization; the group difference was statistically significant (p = 0.017). Conclusions. When compared with no treatment, tamsulosin can significantly
facilitate expulsion of retained ureteral stone fragments following ESWL.”
“AimTo identify the risk factors influencing the development of macrosomia among pregnant women and to develop a regression model to predict macrosomia.
MethodsA cross-sectional study was conducted in a tertiary hospital in Malaysia involving 2332 pregnant women. The data was retrospectively collected from the obstetrics and gynecology department. The factors that influence fetal weight were collected from the antenatal cards and any additional information was collected by face-to-face interview using a questionnaire. A multiple regression model was developed to predict macrosomia using SPSS ver.18.
ResultsThe significant variables that influence macrosomia in this study were mother’s age, mother’s body mass index (BMI), weight gain, parity, mother’s ethnicity, father’s BMI, gestational week, diabetes during pregnancy and neonatal sex.