Can Hospital Discharge Databases Be Used to Follow Ischemic Stroke Incidence? | Zendy

Julie Haesebaert | Zendy; Anne Termoz | Zendy; Stéphanie Polazzi | Zendy; Christelle Mouchoux | Zendy; Laura Mechtouff | Zendy; Laurent Derex | Zendy; Norbert Nighoghossian | Zendy; AnneMarie Schott | Zendy

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Can Hospital Discharge Databases Be Used to Follow Ischemic Stroke Incidence?

Author(s) -

Julie Haesebaert,

Anne Termoz,

Stéphanie Polazzi,

Christelle Mouchoux,

Laura Mechtouff,

Laurent Derex,

Norbert Nighoghossian,

AnneMarie Schott

Publication year - 2013

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.113.001300

Subject(s) - medicine , confidence interval , incidence (geometry) , false positive paradox , emergency medicine , prospective cohort study , cohort , stroke (engine) , medical record , hospital discharge , cohort study , retrospective cohort study , database , pediatrics , machine learning , mechanical engineering , physics , computer science , optics , engineering

Because acute ischemic strokes (ISs) are mainly hospitalized, hospital discharge data could be used to routinely follow their incidence management. We aimed to assess sensitivity and positive predictive value of the French hospital discharge database (HDD) to identify patients with acute IS using a prospective and exhaustive cohort (AVC69) of acute IS cases.

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