Predictors for Early Liver Cancer Survival Following Ablation and Surgical Resection: A SEER-Medicare Study.


Journal

Journal of the American College of Radiology : JACR
ISSN: 1558-349X
Titre abrégé: J Am Coll Radiol
Pays: United States
ID NLM: 101190326

Informations de publication

Date de publication:
01 Nov 2023
Historique:
received: 09 01 2023
revised: 22 09 2023
accepted: 04 10 2023
medline: 6 11 2023
pubmed: 6 11 2023
entrez: 3 11 2023
Statut: aheadofprint

Résumé

To identify independent predictors of all-cause and cancer-specific mortality following ablation (AB) or surgical resection (SR) for small HCCs, after adjusting for key confounders. Using SEER-Medicare, HCCs less than 5 cm treated with AB or SR in 2009-2016 (N=956) were identified. Univariate and multivariable Cox regression models for all-cause and cancer-specific mortality were performed including demographics, clinical factors (tumor size, medical comorbidities, and liver disease factors), social determinants of health and treatment characteristics. We also determined the most influential predictors of survival using a random forest analysis. Larger tumor size (3-5 cm) is predictive of all-cause (HR 1.31, p-value 0.002) and cancer-specific mortality (HR 1.59, p-value <0.001). Furthermore, chronic kidney disease is predictive of all-cause mortality (HR 1.43, p-value 0.013), though it is not predictive of cancer-specific death. Multiple liver disease factors are predictive of all-cause and cancer-specific mortality including portal hypertension and esophageal varices (HRs >1, p-values <0.05). Though Asian race is protective in univariate models, in fully adjusted, multivariable models, Asian race is not a significant protective factor. Likewise, other social determinants of health are not significantly predictive of all-cause or cancer-specific mortality. Finally, treatment with SR, in later procedure years or at high volume centers is protective for all-cause and cancer-specific mortality. In machine learning models, year procedure performed, ascites, portal hypertension and treatment choice were the most influential factors. Treatment characteristics, liver disease factors and tumor size are more important predictors of all-cause and cancer-specific death than social determinants of health for small HCCs.

Identifiants

pubmed: 37922972
pii: S1546-1440(23)00849-9
doi: 10.1016/j.jacr.2023.10.017
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Auteurs

Resmi A Charalel (RA)

Division of Interventional Radiology, Department of Radiology, Weill Cornell Medicine; Department of Population Health Sciences, Weill Cornell Medicine; Member of American College of Radiology Interventional Radiology Expert Panel 2 and Economics Committee for Interventional Radiology. Electronic address: rac9069@med.cornell.edu.

Alvin I Mushlin (AI)

Department of Population Health Sciences, Weill Cornell Medicine; Department of Medicine, Weill Cornell Medicine.

Xinyan Zheng (X)

Department of Population Health Sciences, Weill Cornell Medicine.

Jialin Mao (J)

Department of Population Health Sciences, Weill Cornell Medicine.

Ruth Carlos (R)

Department of Radiology, Michigan Medicine.

Robert S Brown (RS)

Department of Medicine, Weill Cornell Medicine.

Brett E Fortune (BE)

Department of Medicine, Montefiore Health.

Adam D Talenfeld (AD)

Division of Interventional Radiology, Department of Radiology, Weill Cornell Medicine.

David C Madoff (DC)

Department of Radiology, Yale School of Medicine.

Said Ibrahim (S)

Department of Medicine, Northwell Health.

Matthew S Johnson (MS)

Department of Radiology, Indiana University School of Medicine.

Art Sedrakyan (A)

Department of Population Health Sciences, Weill Cornell Medicine.

Classifications MeSH