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Prediction of Perineal Tears by Striae Gravidarum Score (TSS)

A

Assiut University

Status

Completed

Conditions

Normal Labor

Treatments

Procedure: Episiotomy

Study type

Interventional

Funder types

Other

Identifiers

Details and patient eligibility

About

Previous studies concluded that striae gravidarum assessment appears to predict the occurrence of perineal tears and recommend training the health personnel to calculate the total striae score which can help them decide if episiotomy is to be given or not. Episiotomy definitely seems to be preventive for perineal tears but giving episiotomy for the same is still debatable as episiotomy in itself is associated with morbidity. the hypothesis is episiotomy done in patients with high score will definitely protects against perineal tears. So, the aim of study is to determine whether assessment of striae gravidarum score could predict occurrence of tears during labor or not, and if episiotomy will prevent perineal tears in women with high score.

Enrollment

250 patients

Sex

Female

Volunteers

No Healthy Volunteers

Inclusion criteria

  1. Multipara
  2. Singleton pregnancy
  3. Full-term (37- 40 weeks)
  4. Average size fetus (2500-4000 gm)
  5. Cephalic-vertex presentation
  6. Spontaneous onset of labor
  7. No scarred uterus
  8. No medical diseases as hypertension
  9. No obstetric complications as obstructed labor
  10. Women accepted to participate in the study

Exclusion criteria

  1. Multiple pregnancy
  2. Women with Previous cesarean sections
  3. Preterm labor
  4. Malpresentation
  5. Fetal macrosomia
  6. Medical diseases as diabetes and hypertension
  7. Women refuse to participate in the study

Trial design

Primary purpose

Prevention

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

None (Open label)

250 participants in 2 patient groups

Group A
Experimental group
Description:
Episiotomy
Treatment:
Procedure: Episiotomy
Group B
No Intervention group
Description:
no episiotomy

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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