Literature DB >> 17011918

Factors associated with failure in managing pelvic sepsis after ileal pouch-anal anastomosis (IPAA)--a multivariate analysis.

Ismail Sagap1, Feza H Remzi, Jeffrey P Hammel, Victor W Fazio.   

Abstract

BACKGROUND: Pelvic sepsis is known to cause a detrimental outcome after ileal pouch-anal anastomosis (IPAA). The aim of this study was to examine potential factors associated with failure in managing pelvic sepsis after IPAA.
METHODS: We performed univariate and multivariate logistic regression analysis on 2518 IPAA patients between 1983 and 2005. Failure was defined as pouch failure, the need for a permanent ileostomy, or mortality as a result of sepsis. There were 157 patients (6.2%) with pelvic sepsis after IPAA. These involved anastomotic leak 34% (54/157) and fistula 25% (40/157). There were 5 mortalities related to sepsis. Mean age at surgery was 38.1 +/- 14.4 years and mean follow-up was 5.5 +/- 4.7 years.
RESULTS: Pouches were saved in 75.8% patients. Univariate analysis identified early sepsis (P = .040), preoperative steroid use (P = .007), and need for percutaneous drainage (P = .004) as significant factors associated with treatment success. Factors associated with failure were hypertension (P = .026), hand-sewn anastomosis (P = .038), associated fistula (P = .0003), need for transanal drainage (P = .0002), need for laparotomy to control septic complications (P < .0001), delayed ileostomy closure (P = .0003), and need for a new diverting ileostomy (P < .0001). By using multivariate analysis with selected covariates, significant factors associated with failure were associated fistula (P = .0013), need for transanal drainage (P = .003), delayed ileostomy closure (P = .022), need for a new ileostomy diversion (P = .004), and hypertension (P = .039). We developed a predictive scoring system for failure to use in management plans and decision-making for the treatment of septic complications of IPAA.
CONCLUSIONS: Pelvic sepsis after IPAA has a significant impact on pouch failure. This predictive model for failure may play an important role in providing risk estimates for successful outcomes.

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Year:  2006        PMID: 17011918     DOI: 10.1016/j.surg.2006.07.015

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  16 in total

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