2018, Number 3
Predictive variables of lung cancer risk in smokers
Benítez SE, Pérez CAE, Vilaseca SE, Ramírez RE, Colón BI
Language: Spanish
References: 0
Page: 1-12
PDF size: 355.86 Kb.
ABSTRACT
Introduction: Lung cancer tops the list of cancer incidence and mortality in men. It is fourth most frequent neoplasm in women, and second cause of death by neoplastic diseases in the female sex.Objectives: To determine the parameters of efficiency and the relationship between predictor variables and the risk of being diagnosed with lung cancer in smokers.
Methods: An analytical study was conducted in type cases and controls. Cases: 55 patients, controls: 115 individuals. Variable result: risk of being diagnosed with lung cancer. Predictor variables: age, sex, smoking history, skin color, number of cigarettes per day, packets/years, family history of lung cancer, family history of cancer related to smoking other than lung cancer, time of tobacco withdrawal, age of initiation into the habit. Statistical method: multivariate logistic regression.
Results: The variables that showed higher OR: cumulative effect of smoking of more than 30 packages/years (OR= 8,5; CI 95 % 3- 23); family history of lung cancer in first-degree relatives (OR= 6,5; CI 95 % 4,6- 7,0); and the black skin color (OR= 6,3; CI 95 % 3,2- 12,7).
Conclusions: The most related variables with the risk of lung cancer were: black skin color, smoking time over 35 years, consumption of more than 30 packages / years, and family history of cancer related to smoking in organs other than lung.