Abstract W MP69: CHADS2 Score Predicts Stroke Related In-hospital Mortality In Patients With Atrial Fibrillation: An Analysis Of The California State Inpatient Database

Shadi Yaghi; Markeith Pilot; Dean Sherzai; Ayesha Sherzai

Abstract W MP69: CHADS2 Score Predicts Stroke Related In-hospital Mortality In Patients With Atrial Fibrillation: An Analysis Of The California State Inpatient Database

Shadi Yaghi, Markeith Pilot, Dean Sherzai, Ayesha Sherzai

Neurology

Research output: Contribution to journal › Meeting abstract › peer-review

Original language	American English
Journal	Stroke
Volume	46
State	Published - Feb 1 2015

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Physical Therapy
Medicine and Health Sciences
Databases and Information Systems
Cardiology
Internal Medicine

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@article{4b3d36840a0b4a31b8e5a2f85931a9da,

title = "Abstract W MP69: CHADS2 Score Predicts Stroke Related In-hospital Mortality In Patients With Atrial Fibrillation: An Analysis Of The California State Inpatient Database",

author = "Shadi Yaghi and Markeith Pilot and Dean Sherzai and Ayesha Sherzai",

note = "Methods: Data were obtained from the California State Inpatient Database between 2008 and 2011, using appropriate ICD-9 codes. Frequencies and descriptive analysis adjusting for influence of comorbidities and confounders were utilized. Age and ICD-9 codes for hypertension, diabetes, congestive heart failure, and prior stroke were used to calculate the CHADS2 score of patients with atrial fibrillation.",

year = "2015",

month = feb,

day = "1",

language = "American English",

volume = "46",

journal = "Stroke",

}

TY - JOUR

T1 - Abstract W MP69: CHADS2 Score Predicts Stroke Related In-hospital Mortality In Patients With Atrial Fibrillation: An Analysis Of The California State Inpatient Database

AU - Yaghi, Shadi

AU - Pilot, Markeith

AU - Sherzai, Dean

AU - Sherzai, Ayesha

N1 - Methods: Data were obtained from the California State Inpatient Database between 2008 and 2011, using appropriate ICD-9 codes. Frequencies and descriptive analysis adjusting for influence of comorbidities and confounders were utilized. Age and ICD-9 codes for hypertension, diabetes, congestive heart failure, and prior stroke were used to calculate the CHADS2 score of patients with atrial fibrillation.

PY - 2015/2/1

Y1 - 2015/2/1

UR - https://www.ahajournals.org/doi/abs/10.1161/str.46.suppl_1.wmp69

M3 - Meeting abstract

VL - 46

JO - Stroke

JF - Stroke

ER -

Abstract W MP69: CHADS2 Score Predicts Stroke Related In-hospital Mortality In Patients With Atrial Fibrillation: An Analysis Of The California State Inpatient Database

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