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Obesity Is Not Associated with Antimicrobial Treatment Failure for Intra-Abdominal Infection
Zachary C Dietch1, Therese M Duane2, Charles H Cook3
11 Department of Surgery, The University of Virginia Health System , Charlottesville, Virginia.
Background:
Obesity and commonly associated comorbidities are known risk factors for the development of infections. However, the intensity and duration of antimicrobial treatment are rarely conditioned on body mass index (BMI). In particular, the influence of obesity on failure of antimicrobial treatment for intra-abdominal infection (IAI) remains unknown. We hypothesized that obesity is associated with recurrent infectious complications in patients treated for IAI.
Methods:
Five hundred eighteen patients randomized to treatment in the Surgical Infection Society Study to Optimize Peritoneal Infection Therapy (STOP-IT) trial were evaluated. Patients were stratified by obese (BMI ≥30) versus non-obese (BMI≥30) status. Descriptive comparisons were performed using Chi-square test, Fisher exact test, or Wilcoxon rank-sum tests as appropriate. Multivariable logistic regression using a priori selected variables was performed to assess the independent association between obesity and treatment failure in patients with IAI.
Results:
Overall, 198 (38.3%) of patients were obese (BMI ≥30) versus 319 (61.7%) who were non-obese. Mean antibiotic d and total hospital d were similar between both groups. Unadjusted outcomes of surgical site infection (9.1% vs. 6.9%, p = 0.36), recurrent intra-abdominal infection (16.2% vs. 13.8, p = 0.46), death (1.0% vs. 0.9%, p = 1.0), and a composite of all complications (25.3% vs. 19.8%, p = 0.14) were also similar between both groups. After controlling for appropriate demographics, comorbidities, severity of illness, treatment group, and duration of antimicrobial therapy, obesity was not independently associated with treatment failure (c-statistic: 0.64).
Conclusions:
Obesity is not associated with antimicrobial treatment failure among patients with IAI. These results suggest that obesity may not independently influence the need for longer duration of antimicrobial therapy in treatment of IAI versus non-obese patients.
Insights
Obesity does not impact antimicrobial treatment success for intra-abdominal infections (IAI). This study found no independent association between obesity and treatment failure in IAI patients, suggesting current treatment durations are appropriate.
Area of Science:
- Infectious Diseases
- Clinical Medicine
- Obesity Research
Background:
- Obesity is a known risk factor for infections but its impact on antimicrobial treatment failure in intra-abdominal infections (IAI) is unknown.
- Antimicrobial treatment intensity and duration are rarely adjusted for body mass index (BMI).
Purpose of the Study:
- To investigate the association between obesity and treatment failure in patients with intra-abdominal infections (IAI).
- To determine if obesity independently influences recurrent infectious complications following IAI treatment.
Main Methods:
- Analysis of 518 patients from the Surgical Infection Society Study to Optimize Peritoneal Infection Therapy (STOP-IT) trial.
- Patients were stratified into obese (BMI ≥30) and non-obese groups.
- Multivariable logistic regression was used to assess the independent association between obesity and treatment failure, controlling for covariates.
Main Results:
- Obesity (BMI ≥30) was present in 38.3% of patients; mean antibiotic and hospital days were similar between groups.
- Unadjusted outcomes including surgical site infection, recurrent IAI, death, and composite complications were similar between obese and non-obese patients.
- After multivariable adjustment, obesity was not independently associated with treatment failure in IAI patients.
Conclusions:
- Obesity is not independently associated with antimicrobial treatment failure in patients with intra-abdominal infections (IAI).
- These findings suggest that obesity does not necessitate a longer duration of antimicrobial therapy for IAI compared to non-obese patients.
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