Search Our Scientific Publications & Authors

Publications
find publications by category +
Translate page:

A population-based estimate of the health care burden of obstructive sleep apnea using a STOP-BAG questionnaire in South Carolina.

Authors:
Charlie Strange Chelsea L Richard Shuxiang Shan Barbara A Phillips Sarojini Kanotra M Bradley Drummond Lindsay Megenhardt Chitra Lal Roy A Pleasants

J Clin Sleep Med 2021 03;17(3):367-374

Division of Pulmonary Diseases and Critical Care Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Study Objectives: Population based estimates of obstructive sleep apnea (OSA) frequency and health impact are incomplete. The aim of this study was to determine the prevalence of risk factors for physician and sleep study diagnosed OSA among individuals in a state-based surveillance program.

Methods: Using questions inserted into the 2016 (n = 5,564) and 2017 (n = 10,884) South Carolina Behavioral Risk Factor Surveillance System of the Centers for Disease Control and Prevention, we analyzed the prevalence of physician diagnosed OSA and associated comorbidities. The validated STOP-BANG questionnaire without neck circumference (STOP-BAG) defined populations at moderate risk (score 3-4) and high risk (score 5-7). Statistical analysis using weighted prevalence and means and their 95% confidence intervals (CI) thus reflect population estimates of disease burden.

Results: The population-based prevalence of physician diagnosed OSA in South Carolina was 9.7% (95% CI: 9.0-10.4). However, the populations with moderate risk (18.5%, 95% CI: 17.3-19.8) and high risk (25.5%, 95% CI: 23.9-27.1) for OSA, as determined by the STOP-BAG questionnaire, were much higher. Compared to those at low risk for OSA, those at high risk were more often diagnosed with coronary heart disease, stroke, asthma, skin cancer, other cancers, chronic obstructive pulmonary disease, arthritis, depression, kidney disease, and diabetes (all P < .001).

Conclusions: OSA is common and strongly associated with major comorbidities. As such, this public health crisis warrants more diagnostic and therapeutic attention. The STOP-BAG questionnaire provides a public health platform to monitor this disease.

Download full-text PDF

 Source
http://dx.doi.org/10.5664/jcsm.8860DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7927332PMC
March 2021

Publication Analysis

Top Keywords

high risk
12
diagnosed osa
12
south carolina
12
stop-bag questionnaire
12
moderate risk
8
public health
8
populations moderate
8
risk score
8
prevalence physician
8
sleep apnea
8
risk
8
obstructive sleep
8
physician diagnosed
8
osa
7
disease
6
crisis warrants
4
estimates disease
4
95%
4
prevalence 95%
4
95% confidence
4

Keyword Occurance

Similar Publications

Mixed aortic stenosis and regurgitation: a clinical conundrum.

Authors:
Rashmi Nedadur David Belzile Ashley Farrell Wendy Tsang

Heart 2022 May 24. Epub 2022 May 24.

Division of Cardiology, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada

Mixed aortic stenosis (AS) and aortic regurgitation (AR) is the most frequent concomitant valve disease worldwide and represents a heterogeneous population ranging from mild AS with severe AR to mild AR with severe AS. About 6.8% of patients with at least moderate AS will also have moderate or greater AR, and 17. Read More

View Article and Full-Text PDF
May 2022
Similar Publications

Zoonotic acquisition of cutaneous infection in the UK.

Authors:
Raissa Rachman Marcin Ligaj Suchitra Chinthapalli Robert Serafino Wani

BMJ Case Rep 2022 May 24;15(5). Epub 2022 May 24.

Pathology, Barts Health NHS Trust, London, UK

A veterinarian presented with multiple erythematous tender nodules over his right hand and arm. One month prior to the appearance of the lesions, he had treated a cat imported from Brazil who had ulcerated pustular cutaneous lesions. Despite antibiotic treatment there had been no improvement in his symptoms. Read More

View Article and Full-Text PDF
May 2022
Similar Publications

First and second doses of Covishield vaccine provided high level of protection against SARS-CoV-2 infection in highly transmissible settings: results from a prospective cohort of participants residing in congregate facilities in India.

Authors:
Tenzin Tsundue Tenzin Namdon Tenzin Tsewang Sonam Topgyal Tashi Dolma Dekyi Lhadon Tsering Choetso Tenzin Woesal Tenzin Yangkyi Amita Gupta David Peters Zorba Paster Dawa Phunkyi Tsetan Dorji Sadutshang Richard E Chaisson Kunchok Dorjee

BMJ Glob Health 2022 May;7(5)

Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA

Objectives: This study aimed to determine the effectiveness of Covishield vaccine among residents of congregate residential facilities.

Design: A prospective cohort study in congregate residential facilities.

Setting: Dharamshala, Himachal Pradesh, India, from December 2020 to July 2021. Read More

View Article and Full-Text PDF
May 2022
Similar Publications

Developing and Implementing Predictive Models in a Learning Healthcare System: Traditional and Artificial Intelligence Approaches in the Veterans Health Administration.

Authors:
David Atkins Christos A Makridis Gil Alterovitz Rachel Ramoni Carolyn Clancy

Annu Rev Biomed Data Sci 2022 May 24. Epub 2022 May 24.

Office of Discovery, Education and Affiliate Networks, Department of Veterans Affairs, Washington, DC, USA.

Predicting clinical risk is an important part of healthcare and can inform decisions about treatments, preventive interventions, and provision of extra services. The field of predictive models has been revolutionized over the past two decades by electronic health record data; the ability to link such data with other demographic, socioeconomic, and geographic information; the availability of high-capacity computing; and new machine learning and artificial intelligence methods for extracting insights from complex datasets. These advances have produced a new generation of computerized predictive models, but debate continues about their development, reporting, validation, evaluation, and implementation. Read More

View Article and Full-Text PDF
May 2022
Similar Publications

Fasting Glucose Variability and the Risk of Dementia in Individuals with Diabetes: A Nationwide Cohort Study.

Authors:
Da Young Lee Jaeyoung Kim Sanghyun Park So Young Park Ji Hee Yu Ji A Seo Nam Hoon Kim Hye Jin Yoo Sin Gon Kim Kyung Mook Choi Sei Hyun Baik Kyungdo Han Nan Hee Kim

Diabetes Metab J 2022 May 24. Epub 2022 May 24.

Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University College of Medicine, Seoul, Korea.

Background: We investigated whether fasting glucose (FG) variability could predict the risk of dementia.

Methods: This cohort study analyzed data from Koreans with diabetes after at least three health examinations by the Korean National Health Insurance Corporation between 2005 and 2010, which included at least one examination between 2009 and 2010. A total of 769,554 individuals were included, excluding those aged <40 years and those with dementia. Read More

View Article and Full-Text PDF
May 2022
Similar Publications
}