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Poster Display session

100P - Effects of U.S. insurance type on 5-year all-cause mortality after robotic-assisted pulmonary lobectomy for lung cancer

Date

31 Mar 2023

Session

Poster Display session

Presenters

Allison Dumitriu Carcoana

Citation

Journal of Thoracic Oncology (2023) 18 (4S): S89-S100.
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Authors

A.O. Dumitriu Carcoana1, J. Singh2, J.A. Malavet2, J.C. Marek2, K.M. Labib2, W.N. Doyle Jr2, W.J. West III2, P. Deol2, C.C. Moodie3, J.R. Garrett3, J.J.R. Baldonado3, J.R. Tew3, J.P. Fontaine3, E. Toloza3

Author affiliations

  • 1 Tampa/US
  • 2 University of South Florida Health Morsani College of Medicine, Tampa/US
  • 3 Moffitt Cancer Center, Tampa/US

Resources

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Abstract 100P

Background

Public insurance type has been correlated with worse overall survival in several cohorts of cancer patients in the United States, but few analyses included combination insurance as a discreet insurance category. The objective of this study is to determine whether public, private, or combination insurance type predicted 5-year mortality after robotic-assisted pulmonary lobectomy (RAPL) for lung cancer.

Methods

We retrospectively analyzed 711 patients who underwent RAPL from September 2010 to March 2022 by one surgeon.

Results

Among our 711 study patients, 367 (52%) patients had combination insurance, 144 (20%) had public insurance, and 200 (28%) patients had private insurance. There were no differences in sex, race, body mass index, or tumor characteristics including stage, grade, pathology, histology, size and nodal status. Patients with combination insurance had a higher mean age (p < 0.0001), the largest proportion of former smokers (p = 0.0003), higher Charlson comorbidity index scores (p = 0.0014), more comorbid conditions, and the least estimated blood loss during surgery (p = 0.003). There were no differences in hospital length of stay, discharge disposition, and in-hospital or 30-day mortality. Multivariable regression analysis identified combination insurance type as an independent predictor of 5-year all-cause mortality (hazard ratio, 1.72; 95% CI, 1.08–2.75; p = 0.02; table).

Table: 100P

Multivariable analysis on predictors of 5-year overall mortality

VariableHazard Ratio (95% CI)p = value
Combination Insurance1.72 (1.08–2.75)0.02
 Public Insurance1.18 (0.72–1.93)0.51
 Former Smoker0.75 (0.45–1.24)0.26
 Never Smoker0.69 (0.38–1.23)0.21
 Charlson Comorbidity Index Score0.97 (0.76–1.23)0.81
 Preoperative Chronic Kidney Disease4.81 (0.60–38.4)0.14
 Preoperative Atrial Fibrillation1.17 (0.39–3.50)0.79
 Preoperative Hypertension0.95 (0.62–1.46)0.82
 Preoperative Hyperlipidemia1.36 (0.87–2.12)0.17
 Intraoperatie Estimated Blood Loss1.00 (1.00–1.00)0.99

Conclusions

Although previous studies identified public health insurance as a predictor of worse 5-year overall survival in the United States, in our present cohort, combination insurance type was associated with the greatest risk for all-cause mortality.

Legal entity responsible for the study

The authors.

Funding

University of South Florida Health Morsani College of Medicine.

Disclosure

J.P. Fontaine: Financial Interests, Personal, Training: Intuitive Surgical Corp.

E. Toloza: Financial Interests, Personal, Training: Intuitive Surgical Corp.

All other authors have declared no conflicts of interest.

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