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Mobile-ECG screening in rural pharmacies: rates of atrial fibrillation and associated risk factors.
Kropp, Caley M; Huber, Nichelle L; Sager, David; Tripp, Connor; Burch, Ashley; Naniwadekar, Aditi; Nekkanti, Rajasekhar; Sadaf, Murrium I; Mounsey, J Paul; Sears, Samuel F.
Afiliação
  • Kropp CM; Department of Psychology, East Carolina University, Greenville, NC, USA.
  • Huber NL; Department of Psychology, East Carolina University, Greenville, NC, USA.
  • Sager D; Department of Psychology, East Carolina University, Greenville, NC, USA.
  • Tripp C; Department of Psychology, East Carolina University, Greenville, NC, USA.
  • Burch A; Department of Psychology, East Carolina University, Greenville, NC, USA; Department of Cardiovascular Sciences, East Carolina University, Greenville, NC, USA.
  • Naniwadekar A; Department of Cardiovascular Sciences, East Carolina University, Greenville, NC, USA.
  • Nekkanti R; Department of Cardiovascular Sciences, East Carolina University, Greenville, NC, USA.
  • Sadaf MI; Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA.
  • Mounsey JP; Department of Psychology, East Carolina University, Greenville, NC, USA; Department of Cardiovascular Sciences, East Carolina University, Greenville, NC, USA.
  • Sears SF; Department of Psychology, East Carolina University, Greenville, NC, USA; Department of Cardiovascular Sciences, East Carolina University, Greenville, NC, USA. Electronic address: SearsS@ecu.edu.
Heart Lung ; 49(4): 377-380, 2020.
Article em En | MEDLINE | ID: mdl-32014313
ABSTRACT

INTRODUCTION:

Atrial fibrillation (AFib) is a growing health concern, affecting more than 40 million patients worldwide and increasing stroke risk by five times. Community screening initiatives in rural healthcare establishments are becoming more feasible with the development of innovative, mobile-ECG (mECG) technology. The purpose of this research was to characterize increased rates of stroke risk factors and to determine AFib incidence in rural, pharmacy settings.

METHODS:

The researchers examined the prevalence of risk factors associated with AFib and calculated CHA2DS2-VASc stroke risk scores in a previously undiagnosed AFib community sample of 250 participants. Eligible participants at two rural pharmacies were administered a 1-lead mECG reading. Participants were then asked to complete questionnaires on demographic and medical history information. All participants were given educational materials on AFib and medical referrals when indicated.

RESULTS:

Prevalence rates of six, known independent stroke risk factors (CHA2DS2-VASc scores (2.68 ± 1.35)) were significantly higher in the study sample than reported national US averages. Screening via mECG indicated preliminary AFib rates of approximately 4%; however, upon independent adjudication of the readings from three electrophysiologists AFib prevalence ranged between 1% and 8%.

DISCUSSION:

Collectively, an alarming rate of untreated stroke risk in a rural pharmacy sample was identified by the researchers utilizing mECG technology. These results suggest potential value to the use of mECG technology to screen for AFib in at-risk communities.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Farmácias / Fibrilação Atrial / Acidente Vascular Cerebral Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Farmácias / Fibrilação Atrial / Acidente Vascular Cerebral Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article