Abstract
Background: Colovesical fistulas are abnormal communications between the colon and urinary bladder, most commonly caused by diverticular disease. Although colovesical fistulas are rare, they should be suspected in patients presenting with recurrent urinary tract infections, pneumaturia, or fecaluria. We integrated two case reports with a retrospective national cohort analysis to assess the surgical treatment of colovesical fistulas. Methods: We report two cases of colovesical fistulas, both secondary to sigmoid diverticulitis, treated surgically via minimally invasive approaches. A retrospective analysis using the National Inpatient Sample database from 2016 to 2022 was conducted to compare outcomes of open surgery with those of minimally invasive surgery. Propensity score matching and multivariable regression analyses were used to evaluate clinical outcomes. Results: The first patient underwent hand-assisted laparoscopic sigmoidectomy with fistula takedown and has remained asymptomatic at 8 months, while the second patient underwent robotic-assisted sigmoidectomy with staged ileostomy reversal and has remained asymptomatic at 1 month. National data analysis showed no significant difference in mortality (<1% versus <1%, p = 0.931), wound complications (1.4% versus 1.0%; p = 0.554), or postoperative sepsis or shock (7.1% versus 5.6%; p = 0.114) between open and minimally invasive surgical approaches. However, the minimally invasive surgery group had significantly shorter length of stay than the open surgery group (6.9 versus 7.3 days, p < 0.001). Conclusions: Minimally invasive repair of colovesical fistulas was associated with shorter hospital stays than open surgery, with no significant differences in major complications. Early identification and timely surgical management are critical for achieving favorable outcomes.
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Volkert, A., Nigam, A., Stover, D., Meshram, P., Naaz, R., Onongaya, C., … Harmon, J. V. (2025). Comparison of Open Versus Minimally Invasive Repair of Colovesical Fistula: A Case Report and Propensity-Matched National Database Analysis. Journal of Clinical Medicine, 14(17). https://doi.org/10.3390/jcm14176065
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