[Indications and justification of cesarean sections at the Instituto Mexicano del Seguro Social].
OBJECTIVE
In view of the high frequency rates of cesarean section at the Instituto Mexicano del Seguro Social (IMSS), we carried out a study to know main causes and its justification.


METHODS
Retrospective study in a randomized national sample of clinical records in 3,232 cesarean cases between June 1997 and June 1999.


RESULTS
The most frequent indications were cephalopelvic disproportion (29.6%), one previous section (20.9%), acute fetal distress (14.1%), iterative section (11.9%), and premature rupture of amniotic membranes (10.7%). In cephalopelvic disproportion cases, mean weight of newborns was 3,430 g., 70.6% of patients had irregular uterine contractility, and 21.7% received oxytocin; 78.2% had integrity of membranes and 4 cm or less in cervical dilation. In previous section and cephalopelvic disproportion the mean weight of newborns was 3,425 g; 81.7% did not have regular contractility and, 4.8 received oxytocin. In sections due to acute fetal distress, 94.9% had an Apgar in 8 or more at 5 minutes after delivery.


CONCLUSIONS
The cesarean indications at the IMSS were similar to those are informed most to date in Mexico and throughout the world, but we did not find justification most of cases in this study.
Velasco-Murillo
V
V
División de Salud Materna, Salud Reproductiva y Materno Infantil del IMSS, Colonia del Valle. viteliov@yahoo.es
Navarrete-Hernández
E
E
Pozos-Cavanzo
J
J
Ojeda-Mijares
R T
RT
Cárdenas-Lara
C
C
Cardona-Pérez
J A
JA
D000328:Adult; D002585:Cesarean Section / Q000706:statistics & numerical data*; D017604:Cesarean Section, Repeat / Q000706:statistics & numerical data; D003430:Cross-Sectional Studies; D005260:Female; D005316:Fetal Distress / Q000453:epidemiology; D006801:Humans; D008800:Mexico / Q000453:epidemiology; D007744:Obstetric Labor Complications / Q000453:epidemiology; D011247:Pregnancy; D012189:Retrospective Studies; D019564:Unnecessary Procedures / Q000706:statistics & numerical data*