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Risk Adjustment in Lung Cancer

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Risk Adjustment in. Lung Cancer. Dr Nicholas Chanarin. Respiratory Physician ... Non-Small Cell LC: Surgery by Age ... Leicester: Resection Rate ... – PowerPoint PPT presentation

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Title: Risk Adjustment in Lung Cancer


1
Risk Adjustment in Lung Cancer
  • Dr Nicholas Chanarin
  • Respiratory Physician

2
Lung Cancer Selected Comparative 5 year
Survival males
3
Lung Cancer Survival, England 1991-93
0 2 4 6 8 10
4
Non-Small Cell LC Surgery by Age
5
Non-Small Cell LC Surgery by Age
6
Problem
  • Why does the England appear to have worse
    survival figures for lung cancer?
  • Greater Co-morbidity
  • Patients have more advanced disease
  • English Physicians are too cautious-Nihilistic
  • How can we Improve outcomes for Lung cancer
    patients?
  • Increase our uptake of radical treatments, surgery

7

Fitness for Surgery
Co-Morbidity
8
Co-Morbidity
  • Kaplan-Feinstein Index
  • J Chron Dis. 197427387-404
  • Charlson Comorbidity Index
  • J Chron Dis 198740(5)373-383
  • The Index of Co-Existent Disease
  • Med Care 199331(2)141-154.
  • Adult Co-Morbidity Evaluation (ACE 27)

9
Impact of Co-Morbidity on Lung CancerTammemagi
et al Int J Cancer 2003 1103(6)792-802
  • 1155 patients with lung cancer
  • 56 Co-Morbidities abstracted from records
  • Outcome time to death
  • Results
  • Outcome predicted by stage, Co-Morbidity Count
    and Charlson Index
  • These factors only explained a small proportion
    of the variability in outcome

10
Co-Morbidity and Karnofksy performance score are
independent prognostic factors in stage III
Non-small cell lung cancer an institutional
analysis of patients treated on four RTOG
studies.
Byhart et al. Int J Radiat Biol Phys 2002 Oct
154(2)357-64
  • 112 patients with stage III NSCLC
  • Outcome Overall survival
  • Results
  • Performance status and Co-Morbidity score
    predictive of outcome

11
Development/Validation of Cancer-Specific Models
  • Colorectal
  • Prostate
  • Gynecological sites
  • Lung
  • Breast
  • Head and Neck
  • These models will be unique
  • developed especially for cancer patients
  • contain a wide range of comorbid ailments
  • grade the severity of the individual ailments
  • generate an overall severity score
  • predict overall survival
  • developed specifically to be used in conjunction
    with the standard ROADS-defined tumor
    registry data elements

12
Fitness for Surgery
  • Co-Morbidity models are not suitable

13
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14
Assessment of Fitness for surgery
  • Opinion of Physician assessing patient
  • Multi disciplinary team assessment
  • British Thoracic Society Guidelines on the
    selection of patients with Lung cancer for
    Surgery
  • Thorax 20015689-108

15
Leicester Resection Rate
16
British Thoracic Society Guidelines on the
selection of patients with Lung cancer for Surgery
Thorax 20015689-108
  • Evidence based
  • Recommendations on
  • Age
  • Cardiovascular disease
  • Respiratory function
  • Weight Loss and Performance Status
  • Staging

17
Conclusions
  • No established scoring system in usage
  • Different evaluations may be required for
    Co-Morbidity and Fitness for surgery
  • Studies to explore the interaction between
    Co-Morbidity, fitness for surgery and radical
    treatments

18
Time taken to Complete ACE 27
Max
Abstraction Time (mins)
Median
Min
With Comorbidity
Without Comorbidity
19
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