Volume 121, Issue 2 pp. 249-257
RESEARCH ARTICLE

Simplified preoperative tool predicting discharge destination after major oncologic gastrointestinal surgery

Rajesh Ramanathan MD

Corresponding Author

Rajesh Ramanathan MD

Division of Surgical Oncology, Banner MD Anderson Cancer Center, Gilbert, Arizona

Department of Surgery, Virginia Commonwealth University Medical Center, Richmond, Virginia

Correspondence Rajesh Ramanathan, MD, Division of Surgical Oncology, Banner MD Anderson Cancer Center, 2946 E. Banner Gateway Drive, Suite 415, Gilbert, AZ 85234.

Email: [email protected]

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Caroline Rieser MD

Caroline Rieser MD

Department of Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania

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Saba Kurtom MD

Saba Kurtom MD

Department of Surgery, Virginia Commonwealth University Medical Center, Richmond, Virginia

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Salem Rustom BS

Salem Rustom BS

Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia

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Revathy Subramany MBBS

Revathy Subramany MBBS

Department of Surgery, Thanjavur Medical College, Thanjavur, India

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Luke G. Wolfe MS

Luke G. Wolfe MS

Department of Surgery, Virginia Commonwealth University Medical Center, Richmond, Virginia

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Brian J. Kaplan MD

Brian J. Kaplan MD

Department of Surgery, Virginia Commonwealth University Medical Center, Richmond, Virginia

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First published: 02 December 2019
Citations: 6

Abstract

Background

Preoperatively identifying patients who will require discharge to extended care facilities (ECFs) after major cancer surgery is valuable. This study compares existing models and derives a simple, preoperative tool for predicting discharge destination after major oncologic gastrointestinal surgery.

Methods

The American College of Surgeon National Surgical Quality Improvement datasets were used to evaluate existing risk stratification and frailty assessment tools between the years 2011 and 2015. A novel tool for predicting discharge to ECF was developed in the 2011-2015 dataset and subsequently validated in the 2016 dataset.

Results

Major resections were analyzed for 61 683 malignancies: 6.9% esophagus, 5.3% stomach, 20.0% liver, 21.0% pancreas, and 46.8% colon/rectum. The overall ECF discharge rate was 9.1%. The American Society of Anesthesiologist score, 11-point modified frailty index (mFI), and 5-point abbreviated modified frailty index (amFI) demonstrated only moderate discrimination in predicting ECF discharge (c-statistic: 0.63-0.65). In contrast, our weighted cancer cancer abbreviated modified frailty index (camFI) score demonstrated improved discrimination with c-statistic of 0.73. The camFI displayed >90% negative predictive value for ECF discharge at every operative site.

Conclusion

The camFI is a simple tool that can be used preoperatively to counsel patients on their risk of ECF discharge, and to identify patients with the least need for ECF discharge after major oncologic gastrointestinal surgery.

CONFLICT OF INTERESTS

The authors declare that there are no conflict of interests.

DATA AVAILABILITY STATEMENT

The data that support the findings of this study are available in ACS NSQI.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.