The risk of hidden “hot spots” with high levels of air pollution in Madrid (Spain)

All urban areas at risk of breathing polluted air should be identified. In the outskirts of Madrid (Spain), there are roads with high traffic (highway A5) that are <5 meters away from nearby residential homes and schools with children and adolescents. The objective of this study is to ascertain the levels of NO2 in these populated areas. Several NO2 diffusion tubes were installed at a height of 3-m to measure NO2 concentrations in various locations of the A5 during the month of May 2022 (30 days). The four tubes located near the A5 measured a NO2 concentration of 49.7; 88.2; 56.8; and 60 μg/m³. The standard deviation and variation coefficient of the measurements were 0.5 and 2.7%, respectively. According to the WHO (2021), the admissible average annual limit is 10 μg/m³ and the daily limit is 25 μg/m³. This study aimed at measuring the concentration of NO2 near homes and primary and secondary schools located in a “toxic microenvironment” (close to the A5 in Madrid) found high and dangerous levels of NO2 impacting the health of the population. This is an area with a population of low socioeconomic level, which increases the impact on health

A new simplified comorbidity score as a prognostic factor in non-small-cell lung cancer patients: description and comparison with the Charlson's index

Treatment of non-small-cell lung cancer (NSCLC) might take into account comorbidities as an important variable. The aim of this study was to generate a new simplified comorbidity score (SCS) and to determine whether or not it improves the possibility of predicting prognosis of NSCLC patients. A two-step methodology was used. Step 1: An SCS was developed and its prognostic value was compared with classical prognostic determinants in the outcome of 735 previously untreated NSCLC patients. Step 2: the SCS reliability as a prognostic determinant was tested in a different population of 136 prospectively accrued NSCLC patients with a formal comparison between SCS and the classical Charlson comorbidity index (CCI). Prognosis was analysed using both univariate and multivariate (Cox model) statistics. The SCS summarised the following variables: tobacco consumption, diabetes mellitus and renal insufficiency (respective weightings 7, 5 and 4), respiratory, neoplastic and cardiovascular comorbidities and alcoholism (weighting=1 for each item). In step 1, aside from classical variables such as age, stage of the disease and performance status, SCS was a statistically significant prognostic variable in univariate analyses. In the Cox model weight loss, stage grouping, performance status and SCS were independent determinants of a poor outcome. There was a trend towards statistical significance for age (P=0.08) and leucocytes count (P=0.06). In Step 2, both SCS and well-known prognostic variables were found as significant determinants in univariate analyses. There was a trend towards a negative prognostic effect for CCI. In multivariate analysis, stage grouping, performance status, histology, leucocytes, lymphocytes, lactate dehydrogenase, CYFRA 21-1 and SCS were independent determinants of a poor prognosis. CCI was removed from the Cox model. In conclusion, the SCS, constructed as an independent prognostic factor in a large NSCLC patient population, is validated in another prospective population and appears more informative than the CCI in predicting NSCLC patient outcome

Analysis of the molecular expression profile of non small cell lung carcinoma associated to chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) is an independent risk factor to develop lung cancer but there are no different functional clusters of biomarkers between patients with non-small cell lung cancer (NSCLC) with or without COPD. To analyse protein expression, in order to find out whether samples of resected NSCLC from patients with COPD present a different molecular expression. Observational, cohort, concurrent study with sampling since treatment of disease in patients with NSCLC in initial stages (pIApIIB) treated surgically in our hospital between October 1993 and September 1997. The study consisted of the elaboration of tissue arrays with samples from resected tumor, using immunohistochemistry as a study method. Univariate analysis and logistic regression analysis were performed in order to determine molecular markers that showed a differential expression in NSCLC of the patients with COPD. We studied thirty-two proteins in 146 patients. 30% of the patients had COPD. Univariate analysis in patients with COPD showed one molecular marker to be overexpressed and five molecular markers to be underexpressed. Multivariate analysis in patients with COPD identified membranous ß-Catenin as a differential biomarker, which displayed an underexpression, with an Odds Ratio (95% Confidence Interval) of 0.26 (0.07-1.01). A significant lowest expression of membranous ß-catenin was detected in NSCLC of the patients with COPD