Age-not Charlson Co-morbidity Index-predicts for mortality after stereotactic ablative radiotherapy for medically inoperable stage I non-small cell lung cancer

Purpose: In this single institution retrospective study of patients with stage I medically inoperable non-small cell lung cancer (NSCLC) treated with stereotactic ablative radiotherapy (SABR) we attempt to model overall survival (OS) using initial prognostic variables with specific attention on the...

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Main Authors: Oliver Edwin Holmes, Robert MacRae, Graham Cook, Peter Cross, Vimoj Nair, Horia Marginean, Jason R. Pantarotto
Format: Article
Language:English
Published: Elsevier 2017-08-01
Series:Clinical and Translational Radiation Oncology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405630817300010
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author Oliver Edwin Holmes
Robert MacRae
Graham Cook
Peter Cross
Vimoj Nair
Horia Marginean
Jason R. Pantarotto
author_facet Oliver Edwin Holmes
Robert MacRae
Graham Cook
Peter Cross
Vimoj Nair
Horia Marginean
Jason R. Pantarotto
author_sort Oliver Edwin Holmes
collection DOAJ
description Purpose: In this single institution retrospective study of patients with stage I medically inoperable non-small cell lung cancer (NSCLC) treated with stereotactic ablative radiotherapy (SABR) we attempt to model overall survival (OS) using initial prognostic variables with specific attention on the Charlson co-morbidity index (CCI). Methods: Between 2008 and 2013, 335 patients with medically inoperable stage I NSCLC were treated with SABR or hypofractionated radiotherapy (50–60 Gy in at least 5 Gy or 4 Gy fractions respectively) at our institution. Medical comorbidities and Charlson scores were determined by individual chart review. Patients were stratified into 3 groups based on the CCI score (0–1, 2–3, 4–9) and again based on the age-adjusted Charlson Comorbidity score (aCCI). Cumulative survival for each stratum was determined using the Kaplan-Meier method. Non-significant and confounding variables were identified and discounted from survival modeling. 3 sex stratified Cox regression models were tested: (1) aCCI with age and comorbidity combined; (2) age and CCI; (3) age alone, comorbidity removed. Results: The median survival was 4.4 years and the median follow up 4.7 years. The median CCI and aCCI scores were 2 and 5 respectively. Patients with aCCI 7–12 had an increased hazard of death on univariate analysis HR 2.45 (1.15–5.22 95%CI, p = 0.02) and -excluding age as a competing variable- on multivariate analysis HR 2.25 (1.04–4.84 95%CI, p = 0.04). Patients with CCI 4-9 had an increased hazard of death on univariate analysis HR 1.57(1.30–2.90) but not on multivariate analysis. On formalized testing – with either continuous or categorical variables- all three survival models yielded similar coefficients of effect. Conclusion: We identify male gender, weight loss greater than 10% and age as independent prognostic factors for patients treated with medically inoperable NSCLC treated with SABR or hypofractionated radiotherapy. Based on our survival models, age alone can be used interchangeably with aCCI or CCI plus age with the same prognostic value. Age is more reliably recorded, less prone to error and therefore a more useful metric than Charlson score in this group of patients.
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spelling doaj.art-daf36dda65ca46948140262d4e9d4f402022-12-21T18:21:16ZengElsevierClinical and Translational Radiation Oncology2405-63082017-08-015C374110.1016/j.ctro.2017.07.001Age-not Charlson Co-morbidity Index-predicts for mortality after stereotactic ablative radiotherapy for medically inoperable stage I non-small cell lung cancerOliver Edwin Holmes0Robert MacRae1Graham Cook2Peter Cross3Vimoj Nair4Horia Marginean5Jason R. Pantarotto6Division of Radiation Oncology, The University of Ottawa, Ottawa, Ontario, CanadaDivision of Radiation Oncology, The University of Ottawa, Ottawa, Ontario, CanadaDivision of Radiation Oncology, The University of Ottawa, Ottawa, Ontario, CanadaDivision of Radiation Oncology, The University of Ottawa, Ottawa, Ontario, CanadaDivision of Radiation Oncology, The University of Ottawa, Ottawa, Ontario, CanadaThe Ottawa Hospital Cancer Centre, CanadaDivision of Radiation Oncology, The University of Ottawa, Ottawa, Ontario, CanadaPurpose: In this single institution retrospective study of patients with stage I medically inoperable non-small cell lung cancer (NSCLC) treated with stereotactic ablative radiotherapy (SABR) we attempt to model overall survival (OS) using initial prognostic variables with specific attention on the Charlson co-morbidity index (CCI). Methods: Between 2008 and 2013, 335 patients with medically inoperable stage I NSCLC were treated with SABR or hypofractionated radiotherapy (50–60 Gy in at least 5 Gy or 4 Gy fractions respectively) at our institution. Medical comorbidities and Charlson scores were determined by individual chart review. Patients were stratified into 3 groups based on the CCI score (0–1, 2–3, 4–9) and again based on the age-adjusted Charlson Comorbidity score (aCCI). Cumulative survival for each stratum was determined using the Kaplan-Meier method. Non-significant and confounding variables were identified and discounted from survival modeling. 3 sex stratified Cox regression models were tested: (1) aCCI with age and comorbidity combined; (2) age and CCI; (3) age alone, comorbidity removed. Results: The median survival was 4.4 years and the median follow up 4.7 years. The median CCI and aCCI scores were 2 and 5 respectively. Patients with aCCI 7–12 had an increased hazard of death on univariate analysis HR 2.45 (1.15–5.22 95%CI, p = 0.02) and -excluding age as a competing variable- on multivariate analysis HR 2.25 (1.04–4.84 95%CI, p = 0.04). Patients with CCI 4-9 had an increased hazard of death on univariate analysis HR 1.57(1.30–2.90) but not on multivariate analysis. On formalized testing – with either continuous or categorical variables- all three survival models yielded similar coefficients of effect. Conclusion: We identify male gender, weight loss greater than 10% and age as independent prognostic factors for patients treated with medically inoperable NSCLC treated with SABR or hypofractionated radiotherapy. Based on our survival models, age alone can be used interchangeably with aCCI or CCI plus age with the same prognostic value. Age is more reliably recorded, less prone to error and therefore a more useful metric than Charlson score in this group of patients.http://www.sciencedirect.com/science/article/pii/S2405630817300010Charlson Comorbidity IndexSABRNon-small cell lung cancerMedically inoperable
spellingShingle Oliver Edwin Holmes
Robert MacRae
Graham Cook
Peter Cross
Vimoj Nair
Horia Marginean
Jason R. Pantarotto
Age-not Charlson Co-morbidity Index-predicts for mortality after stereotactic ablative radiotherapy for medically inoperable stage I non-small cell lung cancer
Clinical and Translational Radiation Oncology
Charlson Comorbidity Index
SABR
Non-small cell lung cancer
Medically inoperable
title Age-not Charlson Co-morbidity Index-predicts for mortality after stereotactic ablative radiotherapy for medically inoperable stage I non-small cell lung cancer
title_full Age-not Charlson Co-morbidity Index-predicts for mortality after stereotactic ablative radiotherapy for medically inoperable stage I non-small cell lung cancer
title_fullStr Age-not Charlson Co-morbidity Index-predicts for mortality after stereotactic ablative radiotherapy for medically inoperable stage I non-small cell lung cancer
title_full_unstemmed Age-not Charlson Co-morbidity Index-predicts for mortality after stereotactic ablative radiotherapy for medically inoperable stage I non-small cell lung cancer
title_short Age-not Charlson Co-morbidity Index-predicts for mortality after stereotactic ablative radiotherapy for medically inoperable stage I non-small cell lung cancer
title_sort age not charlson co morbidity index predicts for mortality after stereotactic ablative radiotherapy for medically inoperable stage i non small cell lung cancer
topic Charlson Comorbidity Index
SABR
Non-small cell lung cancer
Medically inoperable
url http://www.sciencedirect.com/science/article/pii/S2405630817300010
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