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Fernando D. Martinez

Researcher at University of Arizona

Publications -  400
Citations -  53932

Fernando D. Martinez is an academic researcher from University of Arizona. The author has contributed to research in topics: Asthma & Population. The author has an hindex of 109, co-authored 400 publications receiving 50603 citations. Previous affiliations of Fernando D. Martinez include Sapienza University of Rome & Washington University in St. Louis.

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Asthma and wheezing in the first six years of life. The Group Health Medical Associates.

TL;DR: Children who started wheezing in early life and continued to wheeze at the age of six were more likely than the children who never wheezed to have mothers with a history of asthma, but do not have increased risks of asthma or allergies later in life.
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International Study of Asthma and Allergies in Childhood (ISAAC): rationale and methods.

TL;DR: The International Study of Asthma and Allergies in Childhood (ISAAC), was founded to maximize the value of epidemiological research into asthma and allergic disease, by establishing a standardized methodology and facilitating international collaboration.
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Association of asthma with serum IgE levels and skin-test reactivity to allergens.

TL;DR: It is concluded that asthma is almost always associated with some type of IgE-related reaction and therefore has an allergic basis, although not all the allergic stimuli that cause asthma appear to have been included in the battery of common aeroallergens the authors used to assess atopic status.
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Respiratory syncytial virus in early life and risk of wheeze and allergy by age 13 years.

TL;DR: RSV lower respiratory tract illnesses in early childhood are an independent risk factor for the subsequent development of wheezing up to age 11 years but not at age 13, and this association is not caused by an increased risk of allergic sensitisation.
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A clinical index to define risk of asthma in young children with recurrent wheezing.

TL;DR: It is concluded that the subsequent development of asthma can be predicted with reasonable accuracy using simple, clinically based parameters.