Publications by authors named "Noemi Mengual-Macenlle"

Article Synopsis
  • The study focused on identifying factors that contribute to the failure of asthma treatment step-down in patients with moderate to severe asthma who were on a combination therapy of inhaled glucocorticoids and long-acting beta agonists.
  • Results showed that 41.7% of patients experienced step-down failure, with significant factors including older age, multiple comorbidities, severity of asthma, and a short duration of previous asthma control.
  • The conclusion emphasizes that successful step-down is more likely when patients have maintained asthma control for over 6 months, suggesting that careful consideration is needed before adjusting treatment.
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Background: Comorbidities are very common in chronic obstructive pulmonary disease (COPD), contributing to the overall severity of the disease. The relative prevalence of comorbidities in COPD caused by biomass smoke (B-COPD), compared with COPD related to tobacco (T-COPD), is not well known.

Objectives: To establish if both types of COPD are associated with a different risk for several major comorbidities.

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Article Synopsis
  • The study investigates survival and prognostic factors in patients with chronic obstructive pulmonary disease (COPD) caused by biomass smoke (BS-COPD) compared to those caused by tobacco (T-COPD).
  • It evaluates the effectiveness of COPD severity indices (BODEx and GOLD ABCD) and comorbidity indices (Charlson and COTE) in predicting mortality rates for these two groups.
  • Results show that while the mortality rates for BS-COPD and T-COPD are similar, the indices can effectively predict mortality, with variations in predictive power between the two types of COPD.
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Multivariate analysis is based in observation and analysis of more than one statistical outcome variable at a time. In design and analysis, the technique is used to perform trade studies across multiple dimensions while taking into account the effects of all variables on the responses of interest. The development of multivariate methods emerged to analyze large databases and increasingly complex data.

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