Competing Risk of Death in Elderly Patients with Newly Diagnosed Stage I Breast Cancer.
Aged
Aged, 80 and over
Biopsy
Breast Neoplasms
/ diagnosis
Cause of Death
/ trends
Clinical Decision-Making
Female
Follow-Up Studies
Humans
Neoplasm Staging
/ methods
Risk Assessment
/ methods
Risk Factors
SEER Program
/ statistics & numerical data
Survival Rate
/ trends
Time Factors
United States
/ epidemiology
Journal
Journal of the American College of Surgeons
ISSN: 1879-1190
Titre abrégé: J Am Coll Surg
Pays: United States
ID NLM: 9431305
Informations de publication
Date de publication:
07 2019
07 2019
Historique:
received:
08
01
2019
revised:
18
03
2019
accepted:
18
03
2019
pubmed:
2
4
2019
medline:
19
5
2020
entrez:
2
4
2019
Statut:
ppublish
Résumé
The majority of newly diagnosed breast cancers in the US are in women aged older than 65 years who can have additional comorbidities. Balancing the risks and benefits of treatment should take into account these competing risks of death. The Surveillance, Epidemiology, and End Results Program-Medicare database was used to identify women with stage I breast cancer undergoing operations from 2004-2012. Using neural network analysis, comorbidities associated with mortality were grouped into clinically relevant categories. Cumulative incidence graphs and Fine and Gray competing risk regression analyses were used to study the association of age, race, comorbidity groupings, and tumor variables with 3 competing mortality outcomes: dead of disease (DOD), dead of other cancers (DOC), and non-cancer death (NCD). The overall cumulative incidence of mortality was 4.9% for DOD, 3.7% for DOC, and 21.3% for NCD for the 47,220 patients studied. For all patients, the 5- and 8-year probability of DOD was 3% and 4.7%, for DOC 1.9% and 3.5%, and for NCD 9.8% and 18.9%, respectively. The presence of any major comorbidity (eg cardiovascular or neurologic disorders) significantly increased the probability of NCD, and estrogen receptor status was the strongest predictor of DOD. Given patient age, comorbidity, and estrogen receptor status, an estimate of competing risks of death from DOD, DOC, and NCD can be calculated. To aid clinical decision making, we quantify competing risks of death in patients with stage I breast cancer by taking into account patient age, comorbidity, and estrogen receptor status.
Sections du résumé
BACKGROUND
The majority of newly diagnosed breast cancers in the US are in women aged older than 65 years who can have additional comorbidities. Balancing the risks and benefits of treatment should take into account these competing risks of death.
STUDY DESIGN
The Surveillance, Epidemiology, and End Results Program-Medicare database was used to identify women with stage I breast cancer undergoing operations from 2004-2012. Using neural network analysis, comorbidities associated with mortality were grouped into clinically relevant categories. Cumulative incidence graphs and Fine and Gray competing risk regression analyses were used to study the association of age, race, comorbidity groupings, and tumor variables with 3 competing mortality outcomes: dead of disease (DOD), dead of other cancers (DOC), and non-cancer death (NCD).
RESULTS
The overall cumulative incidence of mortality was 4.9% for DOD, 3.7% for DOC, and 21.3% for NCD for the 47,220 patients studied. For all patients, the 5- and 8-year probability of DOD was 3% and 4.7%, for DOC 1.9% and 3.5%, and for NCD 9.8% and 18.9%, respectively. The presence of any major comorbidity (eg cardiovascular or neurologic disorders) significantly increased the probability of NCD, and estrogen receptor status was the strongest predictor of DOD. Given patient age, comorbidity, and estrogen receptor status, an estimate of competing risks of death from DOD, DOC, and NCD can be calculated.
CONCLUSIONS
To aid clinical decision making, we quantify competing risks of death in patients with stage I breast cancer by taking into account patient age, comorbidity, and estrogen receptor status.
Identifiants
pubmed: 30930100
pii: S1072-7515(19)30234-0
doi: 10.1016/j.jamcollsurg.2019.03.013
pii:
doi:
Types de publication
Journal Article
Multicenter Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
30-36.e1Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2019 American College of Surgeons. Published by Elsevier Inc. All rights reserved.