• English
    • Persian
  • Persian 
    • English
    • Persian
  • ورود
مشاهده آیتم 
  •   صفحه اصلی مخزن دانش
  • TBZMED Published Academics Works
  • Published Articles
  • مشاهده آیتم
  •   صفحه اصلی مخزن دانش
  • TBZMED Published Academics Works
  • Published Articles
  • مشاهده آیتم
JavaScript is disabled for your browser. Some features of this site may not work without it.

Early diagnosis of preeclampsia by 8 and 12 h urine protein

Thumbnail
تاریخ
2007
نویسنده
Abbasalizadeth, F
Abbasalizadeh, S
Rashtchizadeh, N
Metadata
نمایش پرونده کامل آیتم
چکیده
Present research aim is to determine whether quantitative measurements of 8 and 12 h urine protein vs. 24 h sample are accurate in diagnosing preeclampsia and in differentiating mild from severe disease. The longitudinal-experimental method conducted on 60 preeclamptic women (30 patients with mild preeclampsia and 30 patients with severe preeclampsia). The 8, 12 and 24 h urine protein were compared and results were analyzed by the SPSS-10 statistical software. There was a significant relation between diagnosis of preeclampsia and the amounts of 8, 12 and 24 h urine protein (p = 0.000). The relation of systolic (p = 0.000) and diastolic (p = 0.001) blood pressure with severity of preeclampsia was significant. There was significant relation between gestational age and severity of disease (p 0.012) but the relation of gestational age with parity, gravidity, serum creatinine level, urine volume and urine creatinine level was not significant (p>0.05). Determining total protein of 8 and 12 h urine samples can be a good alternative for 24 h urine protein measurement. This would lead to a faster diagnosis for severe preeclampsia, earlier treatment and consequently reducing morbidity and mortality of mother and fetus/infant.
URI
http://dspace.tbzmed.ac.ir:8080/xmlui/handle/123456789/53619
Collections
  • Published Articles

مخزن دانش دانشگاه علوم پزشکی تبریز در نرم افزار دی اسپیس، کپی رایت 2018 ©  
تماس با ما | Send Feedback
Theme by 
Atmire NV
 

 

مرور

همه مخزنجامعه ها و مجموعه هابراساس تاریخ انتشارنویسنده هاعنوانهاموضوعاین مجموعهبراساس تاریخ انتشارنویسنده هاعنوانهاموضوع

حساب من

ورودثبت نام

مخزن دانش دانشگاه علوم پزشکی تبریز در نرم افزار دی اسپیس، کپی رایت 2018 ©  
تماس با ما | Send Feedback
Theme by 
Atmire NV