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Letter to the Editor| Volume 166, ISSUE 2, P233, August 2019

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Does big data solve the problems?

Published:March 26, 2019DOI:https://doi.org/10.1016/j.surg.2019.01.035
      I read the report entitled “Does retrieval bag use during laparoscopic appendectomy reduce postoperative infection?”
      • Fields A.C.
      • Lu P.
      • Palenzuela D.L.
      • et al.
      Does retrieval bag use during laparoscopic appendectomy reduce postoperative infection?.
      with great interest. I congratulate the authors, but there are some points that should be clarified.
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      References

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        • Lu P.
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        • et al.
        Does retrieval bag use during laparoscopic appendectomy reduce postoperative infection?.
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      Linked Article

      • Does retrieval bag use during laparoscopic appendectomy reduce postoperative infection?
        SurgeryVol. 165Issue 5
        • Preview
          Appendectomy is the most commonly performed emergency operation in the United States, with approximately 370,000 patients undergoing the procedure every year. Although laparoscopic appendectomy is associated with decreased complications when compared with open appendectomy, the risk for infectious complications, including surgical site infection, intra-abdominal abscess, and sepsis, remains a significant source of postoperative morbidity and health care cost. The goal of this study is to determine whether the appendix retrieval technique during laparoscopic appendectomy affects risk of infectious complications.
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      • Reply: Do big data solve the problems?
        SurgeryVol. 166Issue 2
        • Preview
          Thank you for this letter, Dr. Tez. In our multivariable model, use of an appendix bag was an independent predictor of decreased intra-abdominal abscess with an odds ratio of 0.6. This correlates to a 40% reduced odds of intra-abdominal abscess in the group without use of an appendix bag. The National Surgical Quality Improvement Program variable “preoperative sepsis” is defined as the presence of systematic inflammatory response syndrome, sepsis, or septic shock.1 The variable “preoperative sepsis” used in our analysis includes these in a collapsed binary variable.
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