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A validated, risk assessment tool for predicting readmission after open ventral hernia repair

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Abstract

Background/purpose

To present a validated model that reliably predicts unplanned readmission after open ventral hernia repair (open-VHR).

Study design

A total of 17,789 open-VHR patients were identified using the 2011–2012 ACS-NSQIP databases. This cohort was subdivided into 70 and 30 % random testing and validation samples, respectively. Thirty-day unplanned readmission was defined as unexpected readmission for a postoperative occurrence related to the open-VHR procedure. Independent predictors of 30-day unplanned readmission were identified using multivariable logistic regression on the testing sample (n = 12,452 patients). Subsequently, the predictors were weighted according to β-coefficients to generate an integer-based Clinical Risk Score (CRS) predictive of readmission, which was validated using receiver operating characteristics (ROC) analysis of the validation sample (n = 5337 patients).

Results

The rate of 30-day unplanned readmission was 4.7 %. Independent risk factors included inpatient status at time of open-VHR, operation time, enterolysis, underweight, diabetes, preoperative anemia, length of stay, chronic obstructive pulmonary disease, history of bleeding disorders, hernia with gangrene, and panniculectomy (all P < 0.05). ROC analysis of the validation cohort rendered an area under the curve of 0.71, which demonstrates the accuracy of this prediction model. Predicted incidence within each 5 risk strata was statistically similar to the observed incidence in the validation sample (P = 0.18), further highlighting the accuracy of this model.

Conclusion

We present a validated risk stratification tool for unplanned readmissions following open-VHR. Future studies should determine if implementation of our CRS optimizes safety and reduces readmission rates in open-VHR patients.

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Abbreviations

Open-VHR:

Open ventral hernia repair

CRS:

Clinical Risk Score

ROC:

Receiver operating characteristics

AUC:

Area under the curve

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Disclosures

The PI for this study, Dr. Frederic E. Eckhauser, was awarded an Investigator-initiated trial grant from KCI to help fund this study. The grant contract is with Johns Hopkins University School of Medicine.

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Authors and Affiliations

  1. Ravitch Division of GI and Minimally Invasive Surgery, Department of Surgery, The Johns Hopkins University School of Medicine, Blalock 618, 600 N. Wolfe Street, Baltimore, MD, 21287, USA

    P. A. Baltodano, K. C. Soares, C. W. Hicks, P. Cornell, K. K. Burce, T. M. Pawlik & F. E. Eckhauser

  2. Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA

    Y. Webb-Vargas

  3. Plastic and Reconstructive Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD, USA

    C. M. Cooney

Authors
  1. P. A. Baltodano
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  2. Y. Webb-Vargas
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  3. K. C. Soares
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  4. C. W. Hicks
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  5. C. M. Cooney
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  6. P. Cornell
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  7. K. K. Burce
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  8. T. M. Pawlik
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  9. F. E. Eckhauser
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Corresponding author

Correspondence to P. A. Baltodano.

Additional information

This work was a Podium and Poster presentation at the Abdominal Wall Reconstruction Conference, June 14–16, 2014 in Washington, DC, USA. First Place Winner For Best Abstract Award.

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Baltodano, P.A., Webb-Vargas, Y., Soares, K.C. et al. A validated, risk assessment tool for predicting readmission after open ventral hernia repair. Hernia 20, 119–129 (2016). https://doi.org/10.1007/s10029-015-1413-2

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  • DOI: https://doi.org/10.1007/s10029-015-1413-2

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