کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3985332 1601387 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Clinical algorithms for the diagnosis and management of urological leaks following pelvic exenteration
ترجمه فارسی عنوان
الگوریتم های بالینی برای تشخیص و درمان نشت اورولوژی پس از بی حسی لگن
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی تومور شناسی
چکیده انگلیسی

BackgroundUrine leak following pelvic exenteration for locally advanced pelvic malignancy is a major complication leading to increased mortality, morbidity and length of stay. We reviewed our experience and developed a diagnostic and management algorithm for urine leaks in this patient population.MethodsConsecutive patients who underwent en bloc cystectomy and conduit formation as part of pelvic exenteration at a single quaternary referral centre from 1995 to 2012 were reviewed. Patients with urine leak were identified. Medical records were reviewed to extract data on diagnosis and management and a suggested clinical algorithm was developed.ResultsOf 325 exenterations, there were 102 conduits, of which 15 patients (15%) developed a conduit related urine leak. Most (14/15) patients were symptomatic. Diagnosis was made by drain creatinine studies (12/15) and/or imaging (15/15). Management comprised of conservative management, radiologic urinary diversion, early surgical revision and late surgical revision in 3, 11, 2 and 1 patients respectively. Important lessons from our 17 year experience include a high index of suspicion in a patient who is persistently septic despite appropriate treatment, the importance of regular drain creatinine studies, CT (computer tomography) with delayed images (CT intravenous pyelogram) when performing a CT for investigation of sepsis and early aggressive management with radiologic urinary diversion to facilitate early healing.ConclusionUrine leak after pelvic exenteration is a complex problem. Conservative management usually fails and early diagnosis and intervention is the key. It is hoped that our algorithms will facilitate diagnosis and subsequent management of this group of patients.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Surgical Oncology (EJSO) - Volume 40, Issue 6, June 2014, Pages 775–781
نویسندگان
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