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The Oldest Old: A National Analysis of Outcomes for Patients 90 Years or Older With Lung Cancer.

Publication ,  Journal Article
Yang, C-FJ; Brown, AB; Deng, JZ; Lui, NS; Backhus, LM; Shrager, JB; D'Amico, TA; Berry, MF
Published in: Ann Thorac Surg
February 2020

BACKGROUND: Most clinicians will encounter patients 90 years or older with non-small cell lung cancer (NSCLC), but evidence that informs treatment decisions for this extremely elderly population is lacking. This study evaluated outcomes associated with treatment strategies for this nonagenarian population. METHODS: Treatment and overall survival for patients 90 years and older with NSCLC in the National Cancer Data Base (2004-2014) were evaluated using logistic regression, the Kaplan-Meier method, and multivariable Cox proportional hazard models. RESULTS: The majority (n = 4152, 57.6%) of the 7205 patients 90 years or older with stage I-IV NSCLC did not receive any therapy. For the entire cohort, receiving treatment was associated with significantly better survival when compared with no therapy (5-year survival, 9.3% [95% confidence interval [CI], 8.0%-10.7%] vs 1.7% [95% CI, 1.2%-2.2%]; multivariable adjusted hazard ratio, 0.53; P < .001). Stage I patients had the most pronounced survival benefit with treatment (median survival, 27.4 months vs 10.0 months with no treatment; P < .001). Among this subset of patients with stage I disease (n = 1430), only 12.7% (n = 182) had surgery and 33% (n = 471) had no therapy. In these stage I patients surgery was associated with significantly better 5-year survival (33.7% [95% CI, 25.4%-42.1%]) than nonoperative therapy (17.1% [95% CI, 13.7%-20.8%]) and no therapy (6.2% [95% CI, 3.8%-9.4%]). CONCLUSIONS: Therapy for nonagenarians with NSCLC is associated with a significant survival benefit but is not used in most patients. Treatment should not be withheld for these "oldest old" patients based on their age alone but should be considered based on stage and patient preferences in a multidisciplinary setting.

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Published In

Ann Thorac Surg

DOI

EISSN

1552-6259

Publication Date

February 2020

Volume

109

Issue

2

Start / End Page

350 / 357

Location

Netherlands

Related Subject Headings

  • United States
  • Survival Analysis
  • Risk Assessment
  • Retrospective Studies
  • Respiratory System
  • Registries
  • Proportional Hazards Models
  • Prognosis
  • Pneumonectomy
  • Male
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Yang, C.-F., Brown, A. B., Deng, J. Z., Lui, N. S., Backhus, L. M., Shrager, J. B., … Berry, M. F. (2020). The Oldest Old: A National Analysis of Outcomes for Patients 90 Years or Older With Lung Cancer. Ann Thorac Surg, 109(2), 350–357. https://doi.org/10.1016/j.athoracsur.2019.09.027
Yang, Chi-Fu Jeffrey, Andrew B. Brown, John Z. Deng, Natalie S. Lui, Leah M. Backhus, Joseph B. Shrager, Thomas A. D’Amico, and Mark F. Berry. “The Oldest Old: A National Analysis of Outcomes for Patients 90 Years or Older With Lung Cancer.Ann Thorac Surg 109, no. 2 (February 2020): 350–57. https://doi.org/10.1016/j.athoracsur.2019.09.027.
Yang C-FJ, Brown AB, Deng JZ, Lui NS, Backhus LM, Shrager JB, et al. The Oldest Old: A National Analysis of Outcomes for Patients 90 Years or Older With Lung Cancer. Ann Thorac Surg. 2020 Feb;109(2):350–7.
Yang, Chi-Fu Jeffrey, et al. “The Oldest Old: A National Analysis of Outcomes for Patients 90 Years or Older With Lung Cancer.Ann Thorac Surg, vol. 109, no. 2, Feb. 2020, pp. 350–57. Pubmed, doi:10.1016/j.athoracsur.2019.09.027.
Yang C-FJ, Brown AB, Deng JZ, Lui NS, Backhus LM, Shrager JB, D’Amico TA, Berry MF. The Oldest Old: A National Analysis of Outcomes for Patients 90 Years or Older With Lung Cancer. Ann Thorac Surg. 2020 Feb;109(2):350–357.
Journal cover image

Published In

Ann Thorac Surg

DOI

EISSN

1552-6259

Publication Date

February 2020

Volume

109

Issue

2

Start / End Page

350 / 357

Location

Netherlands

Related Subject Headings

  • United States
  • Survival Analysis
  • Risk Assessment
  • Retrospective Studies
  • Respiratory System
  • Registries
  • Proportional Hazards Models
  • Prognosis
  • Pneumonectomy
  • Male