Objective: To investigate the characteristics of pathogenic bacteria and related risk factors for postoperative infection in episiotomy of puerpera and provide basis for the clinical prevention and treatment of postoperative infection in episiotomy.
Methods: The clinical data of 1200 cases of full-term parturient receiving vaginal delivery receing lateral incision hospitalized in obstetrics from March 2012 to April 2015 were retrospectively analysed with the pathogen distribution statistics, and multivariate logistic regression analysis was used to analyse the related risk factors; spss20.0 software was adopted for statistical analysis.
Results: After the single factor analysis, it was found that age>30 y old, BMI>28 kg/m2, vaginal examination>3 times, emergency delivery, birth process>8 h, postoperative hospitalization time>5 d, premature rupture of membranes, delivery in summer, reproductive tract infections in puerpera, incision length>3 cm, operate time of suture personnel ≤ 10 y, complication with basic diseases were risk factors for maternal episiotomy infection after operation (P<0.05); Multi factor logistic regression analysis showed that BMI>28 kg/m2 (OR: 2.136, 95% CI: 1.117~4.086), Vaginal examination>3 times (OR: 1.850, 95% CI: 1.162~2.945), postoperative hospitalization time>5 d (OR: 2.620, 95% CI: 1.363~5.032), premature rupture of membranes (OR: 1.627, 95% CI: 1.059~2.502), reproductive tract infections in puerperal (OR: 1.865, 95% CI: 1.053~3.300), complication with basic diseases (OR: 2.022, 95% CI: 1.220~3.350) were independent risk factors for postoperative infection in episiotomy of puerpera (P<0.05).
Conclusion: In this study, BMI, Vaginal examination, postoperative hospitalization time, premature rupture of membranes, reproductive tract infections in puerpera, complication with basic diseases were risk factors for postoperative infection in episiotomy of puerpera, thus it is desired to take corresponding intervention measures to reduce rate of postoperative infection in episiotomy and prevent incision infection.
Author(s): Hui Zhang, Shuxia Han
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