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Am J Perinatol ; 19(5): 225-34, 2002 Jul.
Article in English | MEDLINE | ID: mdl-12152139

ABSTRACT

Our aim was to investigate the risk factors associated with severe perineal tears defined as either third- or forth-degree tears and, ultimately, find strategies for prevention. We carried a retrospective analysis of a computerized perinatal database, collected prospectively, from a single county hospital between January 1, 1993 and June 30, 1998. Singleton vaginal vertex deliveries were analyzed for potential risk factors using univariate and multiple logistic regression analysis including all two-way interactions. Severe perineal tear occurred in 1905 (8.2%) of 23,244 vaginal deliveries. In the multiple logistic regression analysis, the following factors carried a significantly higher risk for severe laceration: midline episiotomy, primary vaginal delivery, use of pudendal block, forceps deliveries, and birth weight more than 4000 g. The study of interactions demonstrated that mediolateral episiotomy was associated with an increased risk for severe tear only during the first vaginal delivery, but not during a repeat vaginal delivery. Our data suggest that primary vaginal delivery, fetal weight above 4000 g, and the use of pudendal analgesia can help identify in advance patients at highest risk for severe perineal tear. During the delivery of these patients usage of vacuum (instead of forceps) and restricting the use of midline episiotomy might reduce the incidence of severe perineal tear. In cases where episiotomy seems crucial, the use of a mediolateral episiotomy may reduce the likelihood of severe perineal tear.


Subject(s)
Episiotomy/adverse effects , Obstetric Labor Complications/epidemiology , Obstetric Labor Complications/etiology , Perineum/injuries , Adolescent , Adult , Age Distribution , Age Factors , Birth Weight , Episiotomy/methods , Female , Humans , Incidence , Injury Severity Score , Obstetric Labor Complications/prevention & control , Parity , Perineum/surgery , Pregnancy , Prospective Studies , Regression Analysis , Retrospective Studies , Risk Factors , Texas/epidemiology
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