multicentric italian early lung cancer detection project functional evaluation and risk in copd...
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Multicentric Italian early Lung cancer Detection project
Functional evaluation andRisk in COPD Patients
Elisa CalabròU.O. di Chirurgia Toracica – INT Milano
Clinica Pneumologica Università di Parma
Istituto Nazionale Tumori 24 Marzo, Milano
Relationship between lung cancer and airflow obstruction is well recognized
COPD and lung cancer are caused primarily by smoking
Patients who stopped smoking had a slight improvement in FEV1 followed by a mild decline. Those who continued smoking had a much more rapid decline, indicating a poor prognosis in years to come
Introduction
age (year)
FE
V1
20 40birth
Peak
Decline
Plateau
Smoke and decline of respiratory function
Non smokersSmokers
COPD results from an interaction between host and environmental factors
Host factors
genetic susceptibility AAT deficiencyAAT deficiency other possible genetic factorsother possible genetic factors phenotypic susceptibilityphenotypic susceptibility
Environmental exposuresEnvironmental exposures
tobacco smoke (active and passive)tobacco smoke (active and passive) occupational dusts and chemicalsoccupational dusts and chemicals air pollution (indoor and outdoor)air pollution (indoor and outdoor)
Genetic susceptibilityGenetic susceptibility influences occurrence of influences occurrence of
COPDCOPD
Not every active smokers get clinical Not every active smokers get clinical COPDCOPD
But But Smoking is responsible for 90% of cancerSmoking is responsible for 90% of cancer
deaths deaths
Genetic (host) risk factors in COPD
Because smoking and airflow obstruction are such powerful risk factors for lungcancer, their assessment is useful in patient evaluation. Risk can be stratified on the basis of the age (49-75), of the presence or absence of smoking (20 packs/year) and the presence or absence of symptoms. Patients at highest risk are those who smoke heavily, have spirometric abnormalities, and have symptoms.
Deficit restrittivo: Deficit restrittivo: riduzione della CV ( o riduzione della CV ( o della CVF), e della CVF), e proporzionalmente, di proporzionalmente, di tutti i volumi e di tutte tutti i volumi e di tutte le capacità polmonari; il le capacità polmonari; il rapporto VEMS/CVF rapporto VEMS/CVF pertanto rimane pertanto rimane normale. normale. Deficit ostruttivo: Deficit ostruttivo: riduzione del VEMS e riduzione del VEMS e dei flussi espiratori, con dei flussi espiratori, con diminuzione anche del diminuzione anche del rapporto VEMS/CVF. rapporto VEMS/CVF.
0 AT RISK Normal Spirometry
I MILDI MILD FEVFEV1/FVC <70% and FEV1 80% predicted/FVC <70% and FEV1 80% predicted
II MODERATEII MODERATE
III SEVEREIII SEVERE
FEVFEV1/FVC <70% and FEV1 50–80% predicted/FVC <70% and FEV1 50–80% predicted
FEVFEV1/FVC <70% and FEV1 30–50% predicted/FVC <70% and FEV1 30–50% predicted
IV IV VERY SEVERE FEVFEV1/FVC <70% and FEV1 <30% predicted/FVC <70% and FEV1 <30% predicted
Global Initiative for ChronicObstructiveLungDisease
Classification of Severity of COPD
STAGE
Guidelines to estimate the risk in resective pulmonary procedure
R. E. Hyatt et al, 1997R. E. Hyatt et al, 1997
Parameters Increased risk High risk
Spirometry FVCFEV1
MVV
< 50% of pred < 2 liter o 60% of pred
< 1.5 liter < 1 liter< 50% of pred
Diffusion capacity
DLCO < 60% of pred
Blood gas PaCO2 > 45 mmHg
Post-operating risk based on the maximum oxygen consumption (VO2max)
Morbidity 75-100%Morbidity 75-100%VOVO2max < 15 ml/Kg/minmax < 15 ml/Kg/min
Mortality 15-75%Mortality 15-75%
Post-operative Morbidity < 10%Post-operative Morbidity < 10%
VOVO2max > 20 ml/Kg/minmax > 20 ml/Kg/min Post-operative Mortality 0 Post-operative Mortality 0
Quantitative CT: predict post op lung function
“One stop shop”
Reliability of quantitative computed tomography to predict postoperative lung function in patients with chronic obstructive pulmonary disease having a lobectomy
J Comput Assist Tomogr. 2005 Nov-Dec;29(6):819-24.
Virtual upper right lobectomy
On the quantitative CT map, the white areas denote the “functional lung parenchyma.” By applying the range of density from -910 to -1024 HU, the white areas of emphysema were clearly depicted.
AIMSAIMS
Correlation between GOLD stage and long-term survival
Correlation between GOLD stage and pathological stage
Correlation between COPD and histological subtype
Correlation between GOLD stage and surgery risk
Correlation between GOLD stage and post-operative mortality
Correlation between COPD and post-operative
complication
Correlation between COPD and lung cancer