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EFFECT OF TOCOLYTIC AGENTS AND BED REST ON PRETERM LABOUR

Authors: Dr. Amna Jabbar, Dr. Iqra Habib, Sahar Waraich;

EFFECT OF TOCOLYTIC AGENTS AND BED REST ON PRETERM LABOUR

Abstract

Objective: To compare the success rate of nifedipine administration as a tocolytic agent and bed rest for preventing uterine contraction of pregnant women with threatened preterm labour.Methods: A total of 188 pregnant women with threatened preterm labour between 26-35 weeks were enrolled in this study. Cervical measurement was performed in all patients. All women in each group (94 cases) were randomly inhibited uterine contraction with nifedipine administration and bed rest intervention. Results: Nifedipine took the shorter time than bed rest for contraction inhibition in threatened preterm labour with statistical significance. (nifedipine: 2.31 ± 1.19 hours, bed rest: 2.54 ± 0.71 hours) From subgroup analysis, the success rate of nifedipine inhibition and bed rest in the patients with cervical length <3 cm were 83.9% (26 cases) and 55.2% (16 cases), respectively, which was different with statistical significance. Conclusions: Nifedipine can be used successfully to inhibit contractions in threatened preterm labour. However, if the cervical length was ≥ 3 cm, bed rest should be firstly applied to avoid unnecessary medical intervention.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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