عنوان مقاله [English]
نویسندگان [English]چکیده [English]
Introduction and objective: preterm labor is the most important cause of neonatal mortality in the first 28 days of life in the world. Usin an appropraite theraphutic stratgy can lead to longer pregnancy duration, more evolution of neonate’s organs and bearing a healthy neonate. The effects of drugs to prevent pre-term labor is still controversial. On the other hand making decision about treatment is based on practical experiences due to detrimental impacts of pre-term labor and lack of general agreement on using drugs. The purpose of this study was to compare the effect of Progesterone with Salbotamol on reduceing the risk of preterm birth.
Methods: In this randomized clinical trial study, 56 high-risk pregnant women who were between 26 and 34 weeks of gestation were selected via convenience sampling method, and were allocated to progesterone or salbotamol according to a randomized number table.
In the case group Progesterone supp was administrated every 2days until the end of 34 week of pregnancy. In the control group was administrated salbotamol until the end of 34 week of pregnancy. After the following two groups and recording the time of delivery, data were analyzed in SPSS software(11.5) by means of student test and Chi square tests.
Results: the mean score of gestational age at the time of delivery in the progesterone group was 37/7± 1/3weeks and in the salbotamol one was 36/9± 2/1weeks and there was no significant differenc between them(P=0.18).ferthermore,the mean length of continuation of pregnancy in progesterone and salbutamol groups were 12.5± 1.8 weeks and 11.7± 3.2weeks, respectively which were not significant statistically.(P = 0.18).
Conclusion: According to the findings, two regimens of progesterone and salbutamol have been able to maintain pregnancy 12.5 and 11.7weeks, respectively.
The results indicate that progesterone treatment comparing to salbutamol may increase remaining pregnancy 8.0 weeks in average however this difference was not statistically significant.