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Alessandra Castrogiovanni

Researcher at University of Palermo

Publications -  10
Citations -  387

Alessandra Castrogiovanni is an academic researcher from University of Palermo. The author has contributed to research in topics: Obstructive sleep apnea & Sleep apnea. The author has an hindex of 7, co-authored 10 publications receiving 254 citations.

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Journal ArticleDOI

Obstructive sleep apnea and comorbidities: a dangerous liaison

TL;DR: A narrative review of recent studies on OSA patients, with special attention to cardiovascular and cerebrovascular comorbidities, the metabolic syndrome and type 2 diabetes, asthma, COPD and cancer, to provide an update on recent studies.
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Gender‐specific anthropometric markers of adiposity, metabolic syndrome and visceral adiposity index (VAI) in patients with obstructive sleep apnea

TL;DR: The visceral adiposity index was a good marker of metabolic syndrome, but not of obstructive sleep apnea, and changed little in patients without metabolic syndrome; conversely, waist circumference was the only correlate of apnea–hypopnea index in men and women with metabolic syndrome.
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Personalised medicine in sleep respiratory disorders: focus on obstructive sleep apnoea diagnosis and treatment.

TL;DR: This review summarises the available studies on the physiological phenotypes of upper airway response to obstruction during sleep, and the clinical presentations of OSA (phenotypes and clusters) with a special focus on changing attitudes towards approaches to treatment.
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European Respiratory Society statement on sleep apnoea, sleepiness and driving risk.

TL;DR: The present report evaluates the epidemiology of MVA in patients with OSA; the mechanisms involved in this association; the role of screening questionnaires, driving simulators and other techniques to evaluate sleepiness and/or impaired vigilance; the impact of treatment on MVA risk in affected drivers; and highlights the evidence gaps regarding the identification of OSA patients at risk of M VA.
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Sleep-disordered breathing in patients with cardiovascular diseases cannot be detected by ESS, STOP-BANG, and Berlin questionnaires.

TL;DR: As CVD patients show a high SDB prevalence and poor outcome, only a systematic screening based on measures of respiration-related parameters allows for a reliable SDB assessment.