AI Article Synopsis

  • ERAS (Enhanced Recovery After Surgery) helps improve recovery in colorectal surgery, reduces hospital stay, and minimizes complications, but there's uncertainty about which specific components are essential for success.
  • A study analyzed data from 614 colorectal surgery patients to explore "active compliance"—where patient participation is needed—as opposed to "passive compliance," which does not involve the patient's direct input.
  • Results showed that patients who struggled with active compliance faced higher risks of major complications and longer hospital stays compared to those who complied passively; thus, monitoring active compliance could signal potential issues early in recovery.

Article Abstract

Introduction: Enhanced recovery after surgery (ERAS) is a well-established and accepted practice following colorectal surgery and has been demonstrated to reduce hospital length of stay (LOS) and 30-day morbidity. Despite evidence to support the individual elements on which the programme is based, there remains uncertainty as to how many and which of these are required to realise its benefits. Furthermore, elements of an ERAS programme might either precipitate or reflect recovery, in which case compliance could have a role in the improvement or prediction of outcome.

Materials And Methods: A multidimensional prospective database of 799 consecutive patients undergoing colorectal surgery within an established ERAS programme at a single institution was interrogated. After application of exclusion criteria, 614 patients were studied. The novel concept of 'active compliance' is introduced. An ERAS element is classified as 'active' if the participation of the patient is required to achieve its compliance. This contrasts with 'passive' compliance, where an intervention is delivered to the patient without their direct contribution. The short-term surgical outcomes of this cohort are reported with reference to ERAS protocol compliance.

Results: Compliance with the passive elements of the programme was higher than with the active elements. Univariate and multivariate analyses demonstrate that poor compliance with active but not passive elements of the programme was significantly associated with major morbidity. Receiver operator characteristic curve analysis demonstrated active compliance to be a stronger predictor of both major morbidity (AUC 0.71 vs. AUC 0.56) and length of stay (AUC 0.83 vs. 0.57) when compared with passive compliance.

Conclusion: The results suggest that poor active compliance may be a surrogate marker of morbidity which can be recognised in the early post-operative period. This implies the potential for timely diagnosis and intervention. This aspect of ERAS compliance is clinically relevant yet has achieved scant attention. Independent validation of our observations is required.

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Source
http://dx.doi.org/10.1007/s00384-016-2588-4DOI Listing

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