Determinants of the prognosis of idiopathic pulmonary fibrosis.

OBJECTIVE: Fibrotic idiopathic interstitial pneumonias are chronic and progressive lung diseases with different prognosis, with idiopathic pulmonary fibrosis (IPF) having the worst prognosis. Many patients need a surgical lung biopsy for the definite diagnosis of IPF but age and the clinical context often contraindicate this procedure. The aim of this study is to identify predictors of survival, apart from lung biopsy, in patients with definite and possible IPF. PATIENTS AND METHODS: We studied 42 patients with HRCT pattern of definite or possible IPF, by assessing the mortality in relationship with baseline HRCT and functional findings. HRCT was assessed both as prevalent pattern (definite vs possible UIP) and as score of the different abnormalities (in particular, honeycombing (HC) and total fibrotic score). Pulmonary function was assessed as baseline FVC, TLC and DLCO values, as well as change over 6 months of follow-up. Both univariate and multivariate analyses were performed in order to detect predictors of mortality. RESULTS: During follow-up, 10 out of 42 patients died. Mortality rate was not different according to the qualitative pattern of fibrosis at HRCT. Among the different HRCT scores, a cut-off of 15% in the HC score differentiated patients with higher mortality rate. A lower baseline FVC, and a greater decrease in pulmonary function after 6 months, were both associated with higher mortality. In a logistic analysis taking in consideration clinical, radiological and functional findings, only baseline FVC and FVC change after 6 months resulted significant predictors of mortality. CONCLUSIONS: Functional evaluation at the baseline and during follow-up is more relevant than HC score for the prognosis of patients with definite and possible IPF.

Impact of long-term exposure to cigarette smoking on skin microvascular function.

In order to evaluate the impact of cigarettes smoking and smokers' clinical characteristics on skin microvascular function, we measured the skin forearm blood flux, basally and during post-occlusive reactive hyperaemia, in 100 current smokers (mean age 51±11 years; range: 18 to 86 years) and in 66 healthy never-smokers matched for age and sex, by using laser Doppler fluximetry (LDF). Basal and post-ischemic LDF tracings were analyzed in the frequency domain within 0.009-0.02 Hz, 0.021-0.06 Hz and 0.061-0.2 Hz ranges, related to endothelial-dependent, sympathetic-dependent and myogenic-dependent vasomotion, respectively, using an adapted version of the Fourier analysis. The post-ischemic percentage change from baseline of the area under the LDF curve (AUC%) was significantly lower in smokers than in never-smokers [162.5% (139.3-183.0) vs 190.1% (156.3-216.8); p=0.00016]. Compared to controls, smokers also showed a reduced basal power spectral density (PSD) in the myogenic-dependent vasomotion (p=0.0034) and a reduced post-ischemic percentage increase in PSD of the endothelial-dependent vasomotion (p=0.0010) and sympathetic-dependent vasomotion (p=0.0016). An inverse relationship was observed in smokers between AUC% and smoking exposure duration (r=0.23, p=0.018), pack-years (r=0.33, p=0.0007), age (r=0.26, p=0.008) and body mass index (r=0.21, p=0.037). In the multiple linear regression model, pack-years was the only variable independently associated with AUC% (r=0.21, p=0.03). This study confirms that smoking is associated with cutaneous microvascular dysfunction and shows that the severity of this impairment is independently related to the duration and intensity of the exposure to smoking.

Weight gain after smoking cessation.

Both overweight or obesity and cigarette smoking are relevant risk factors for public health. Cigarette smoking is associated with lower body weight while smoking cessation is associated with weight gain. Most smokers who quit experience a weight gain, particularly within one year, and it may persist up to 8 years after smoking cessation. However, only a minority of quitters gain excessive weight. Some individual characteristics have been found to be associated with excessive weight gain after smoking cessation while methodological problems may affect estimates of weight gain observed in different studies. Main mechanisms to explain weight gain after smoking cessation include increased energy intake, decreased resting metabolic rate, and decreased physical activity. The health benefits of smoking cessation far exceed any health risks that may result from smoking cessation-induced body weight gain. As weight gain may be a barrier against quitting smoking or a reason to restart smoking, behavioural and pharmacological methods have been evaluated to control weight gain after smoking cessation. Physicians should apply efficient strategies to promote smoking cessation on their weight-concerned smoking patient. This review briefly addresses some issues on the relationship between smoking cessation and weight gain, with regard to the size of the problem, mechanisms, health risks and control strategies.