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Abdominal computed tomography (CT) scan in the evaluation of refractory puerperal fever: impact on management
Michal Fishel Bartal1, Baha M Sibai2, Tali Ben-Mayor Bashi1
1Department of Obstetrics, Gynecology and Reproductive sciences, Chaim Sheba Medical Center, Tel Hashomer, Sackler School of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Abstract:
Introduction: Computed tomography (CT) imaging should be employed judiciously, given its cost, use of intravenous contrast, and ionizing radiation. The aim of this study was to determine the clinical benefit of a CT scan in the evaluation of refractory puerperal fever and to identify the appropriate candidates for its use.Methods: This was a retrospective cohort study conducted in a single tertiary care center between January 2007 to April 2017. Indications for CT scan were refractory postpartum fever of ≥3 days and/or ultrasound findings suggesting complex abdominal fluid collection. Primary outcome was defined as a change in the mode of treatment due to the CT findings. In addition, a multivariate analysis of risk factors for puerperal fever was performed to identify patients who would benefit from the CT scan evaluation.Results: There were 520 women that underwent an abdominal and pelvic CT scan during the study period, 238 (45.7%) met inclusion criteria, 94 (39.5%) had a normal CT scan, and 144 (60.5%) had abnormal findings including 32 (13.4%) cases with pelvic thrombophlebitis and 112 (47%) cases with pelvic fluid collections. Results of the CT changed clinical management in 93 (39.0%) patients, including: switching antibiotics in 24 (10%) patients, adding low molecular weight heparin for 28 (11.8%) patients, and surgical intervention (laparotomy or drainage insertion) in 41 (17.2%) patients. In the regression model, we didn't find any significant risk factors associated with treatment change following the CT scan.Conclusions: Abdominal and pelvic CT scan in women with refractory puerperal fever has a high clinical yield and lead to a change in management in a substantial number of patients.
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