Related Experiment Video
Updated: Jan 2, 2026
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Disparity on Unplanned Readmission in Melanoma Patients: A National Cancer Database Analysis
Daniel Boczar1, David J Restrepo1, Andrea Sisti1
1Division of Plastic Surgery, Mayo Clinic, Jacksonville, FL, U.S.A.
Background/Aim:
This study aimed to analyze associated factors of 30-day hospital readmission after surgery for melanoma.
Patients And Methods:
We conducted a retrospective analysis of postoperative 30-day unplanned readmission in patients with melanoma in the National Cancer Database (NCDB).
Results:
Higher odds of unplanned readmission were found in non-white patients compared to white, uninsured patients compared to those with private insurance, tumors with invasive behavior compared to in situ, presence of ulceration, American Joint Committee on Cancer stages greater than II, and location in the extremities. Lower odds of unplanned readmission were found in women living in areas where the percentage of adults who did not graduate from high school was below 13.0% with an annual income of $38,000 or more, who were treated in Academic/Research Programs or Integrated Network Cancer Programs.
Conclusion:
Non-white patients and low-income zip-codes were associated with unplanned readmission.
Insights
Melanoma surgery patients who are non-white or uninsured face higher readmission risks. Factors like invasive tumors and certain locations also increase readmission rates for melanoma patients.
Area of Science:
- Oncology
- Surgical Outcomes
- Health Disparities
Background:
- Melanoma is a significant public health concern.
- Hospital readmissions after surgery impact patient outcomes and healthcare costs.
- Identifying factors associated with readmission is crucial for improving care.
Purpose of the Study:
- To analyze factors associated with 30-day unplanned hospital readmission after melanoma surgery.
- To identify patient, tumor, and treatment characteristics that predict readmission risk.
Main Methods:
- Retrospective analysis of 30-day unplanned readmissions.
- Utilized data from the National Cancer Database (NCDB).
- Included patients who underwent surgery for melanoma.
Main Results:
- Higher readmission odds were observed in non-white patients, uninsured patients, those with invasive tumors, ulceration, advanced AJCC stages (>II), and extremity locations.
- Lower readmission odds were associated with women in higher income, lower education areas, and treatment at Academic/Research or Integrated Network Cancer Programs.
- Key predictors of readmission included race, insurance status, tumor invasiveness, and AJCC staging.
Conclusions:
- Non-white race and low-income zip codes are significant factors associated with unplanned readmission after melanoma surgery.
- Addressing socioeconomic and racial disparities is essential for reducing melanoma readmission rates.
