Literature DB >> 24238964

Agreement between stroke patients and family members for ascertaining pre-stroke risk for sleep apnea.

Sarah L Reeves1, Devin L Brown2, Ronald D Chervin3, Lewis B Morgenstern4, Melinda A Smith2, Lynda D Lisabeth4.   

Abstract

BACKGROUND: Ascertaining self-reported information about the risk for pre-stroke obstructive sleep apnea (OSA) in the acute stroke period is challenging as many stroke patients have deficits that hinder communication. We examined agreement between stroke patients without communication limitations and family members (proxy) in the pre-stroke risk for OSA.
METHODS: Patient-proxy pairs (n=42) were interviewed independently as part of the Brain Attack Surveillance in Corpus Christi (BASIC) Project from May 2010 to April 2011. The Berlin questionnaire was used to measure a high risk for OSA defined as the presence of at least two of the following conditions: (1) snoring behaviors/witnessed apneas, (2) daytime sleepiness, and (3) hypertension or obesity. Patient-proxy agreement was assessed using a κ coefficient.
RESULTS: Forty-three percent of patients self-identified as being at high risk for sleep apnea, and 45% of proxies identified patients as high risk. Patient-proxy agreement for high risk for pre-stroke OSA was fair (κ=0.28) with better agreement for spouses and children proxies (κ=0.38) than for other family members. Agreement also was fair for most individual questions.
CONCLUSIONS: Spouse and child proxy use of the Berlin questionnaire may be an option to assess a patient's pre-stroke likelihood of sleep apnea. Whereas prospective studies of incident stroke in patients with and without objectively confirmed sleep apnea would require formidable resources, our results suggest that an alternative strategy may involve proxy use of the Berlin questionnaire in a retrospective study design.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Berlin questionnaire; Disparities; Ethnicity; Obstructive sleep apnea; Proxy; Stroke

Mesh:

Year:  2013        PMID: 24238964      PMCID: PMC3959892          DOI: 10.1016/j.sleep.2013.09.010

Source DB:  PubMed          Journal:  Sleep Med        ISSN: 1389-9457            Impact factor:   3.492


  16 in total

1.  Designing multi-ethnic stroke studies: the Brain Attack Surveillance in Corpus Christi (BASIC) project.

Authors:  Melinda A Smith; Jan M H Risser; Lemuel A Moyé; Nelda Garcia; Olubumi Akiwumi; Ken Uchino; Lewis B Morgenstern
Journal:  Ethn Dis       Date:  2004       Impact factor: 1.847

2.  Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome.

Authors:  N C Netzer; R A Stoohs; C M Netzer; K Clark; K P Strohl
Journal:  Ann Intern Med       Date:  1999-10-05       Impact factor: 25.391

3.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

4.  Obstructive sleep apnea as a risk factor for stroke and death.

Authors:  H Klar Yaggi; John Concato; Walter N Kernan; Judith H Lichtman; Lawrence M Brass; Vahid Mohsenin
Journal:  N Engl J Med       Date:  2005-11-10       Impact factor: 91.245

5.  Worse outcome after stroke in patients with obstructive sleep apnea: an observational cohort study.

Authors:  Meghna P Mansukhani; M Fernanda Bellolio; Bhanu Prakash Kolla; Sailaja Enduri; Virend K Somers; Latha G Stead
Journal:  J Stroke Cerebrovasc Dis       Date:  2010-07-24       Impact factor: 2.136

6.  Cost-utility of three approaches to the diagnosis of sleep apnea: polysomnography, home testing, and empirical therapy.

Authors:  R D Chervin; D L Murman; B A Malow; V Totten
Journal:  Ann Intern Med       Date:  1999-03-16       Impact factor: 25.391

7.  Screening for obstructive sleep apnea in stroke patients: a cost-effectiveness analysis.

Authors:  Devin L Brown; Ronald D Chervin; Susan L Hickenbottom; Kenneth M Langa; Lewis B Morgenstern
Journal:  Stroke       Date:  2005-05-12       Impact factor: 7.914

8.  Retrospective assessment of initial stroke severity with the NIH Stroke Scale.

Authors:  L S Williams; E Y Yilmaz; A M Lopez-Yunez
Journal:  Stroke       Date:  2000-04       Impact factor: 7.914

9.  Aphasia in acute stroke: incidence, determinants, and recovery.

Authors:  P M Pedersen; H S Jørgensen; H Nakayama; H O Raaschou; T S Olsen
Journal:  Ann Neurol       Date:  1995-10       Impact factor: 10.422

10.  Excess stroke in Mexican Americans compared with non-Hispanic Whites: the Brain Attack Surveillance in Corpus Christi Project.

Authors:  Lewis B Morgenstern; Melinda A Smith; Lynda D Lisabeth; Jan M H Risser; Ken Uchino; Nelda Garcia; Paxton J Longwell; David A McFarling; Olubumi Akuwumi; Areej Al-Wabil; Fahmi Al-Senani; Devin L Brown; Lemuel A Moyé
Journal:  Am J Epidemiol       Date:  2004-08-15       Impact factor: 4.897

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  3 in total

1.  Prevalence of pre-stroke sleep apnea risk and short or long sleep duration in a bi-ethnic stroke population.

Authors:  Lindsey B De Lott; Lynda D Lisabeth; Brisa N Sanchez; Lewis B Morgenstern; Melinda A Smith; Nelda M Garcia; Ronald Chervin; Devin L Brown
Journal:  Sleep Med       Date:  2014-09-28       Impact factor: 3.492

2.  Sleep and Stroke: New Updates on Epidemiology, Pathophysiology, Assessment, and Treatment.

Authors:  H Lee Lau; Tanja Rundek; Alberto R Ramos
Journal:  Curr Sleep Med Rep       Date:  2019-05-02

3.  Eight-Section Brocade Exercises Improve the Sleep Quality and Memory Consolidation and Cardiopulmonary Function of Older Adults With Atrial Fibrillation-Associated Stroke.

Authors:  Wei Lv; Xinxin Wang; Jia Liu; Ping Yu
Journal:  Front Psychol       Date:  2019-10-22
  3 in total

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