| Title |
Use of blood biomarkers to screen for obstructive sleep apnea
|
|---|---|
| Published in |
Nature and science of sleep, June 2018
|
| DOI | 10.2147/nss.s164488 |
| Pubmed ID | |
| Authors |
Wesley Elon Fleming, Jon-Erik C Holty, Richard K Bogan, Dennis Hwang, Aliya S Ferouz-Colborn, Rohit Budhiraja, Susan Redline, Edith Mensah-Osman, Nadir Ishag Osman, Qing Li, Armaghan Azad, Susann Podolak, Michael K Samoszuk, Amabelle B Cruz, Yang Bai, Jiuliu Lu, John S Riley, Paula C Southwick |
| Abstract |
Obstructive sleep apnea (OSA) is a highly prevalent disorder associated with increased risk for cardiovascular disease, diabetes, and other chronic conditions. Unfortunately, up to 90% of individuals with OSA remain without a diagnosis or therapy. We assess the relationship between OSA and blood biomarkers, and test the hypothesis that combinations of markers provide a characteristic OSA signature with diagnostic screening value. This validation study was conducted in an independent cohort in order to replicate findings from a prior feasibility study. This multicenter prospective study consecutively enrolled adult male subjects with clinically suspected OSA. All subjects underwent overnight sleep studies. An asymptomatic control group was also obtained. Five biomarkers were tested: glycated hemoglobin (HbA1c), C-reactive protein (CRP), uric acid, erythropoietin (EPO), and interleukin-6 (IL-6). The study enrolled 264 subjects. The combination of HbA1c+CRP+EPO (area under the curve 0.78) was superior to the Epworth Sleepiness Scale (ESS; 0.53) and STOP-Bang (0.70) questionnaires. In non-obese subjects, the combination of biomarkers (0.75) was superior to body mass index (BMI; 0.61). Sensitivity and specificity results, respectively, were: HbA1c+CRP+EPO (81% and 60%), ESS (78% and 19%), STOP-Bang (75% and 52%), BMI (81% and 56%), and BMI in non-obese patients (81% and 38%). We verify our hypothesis and replicate our prior feasibility findings that OSA is associated with a characteristic signature cluster of biomarker changes in men. Concurrent elevations of HbA1c, CRP, and EPO levels should generate a high suspicion of OSA and may have utility as an OSA screening tool. Biomarker combinations correlate with OSA severity and, therefore, may assist sleep centers in identifying and triaging higher risk patients for sleep study diagnosis and treatment. |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 23% |
| Spain | 2 | 9% |
| France | 2 | 9% |
| Kuwait | 1 | 5% |
| Moldova, Republic of | 1 | 5% |
| Italy | 1 | 5% |
| Mexico | 1 | 5% |
| Unknown | 9 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 73% |
| Practitioners (doctors, other healthcare professionals) | 3 | 14% |
| Scientists | 2 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 15% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 8 | 9% |
| Student > Postgraduate | 7 | 8% |
| Professor > Associate Professor | 6 | 7% |
| Other | 13 | 15% |
| Unknown | 33 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 34% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Nursing and Health Professions | 7 | 8% |
| Agricultural and Biological Sciences | 3 | 3% |
| Unspecified | 2 | 2% |
| Other | 5 | 6% |
| Unknown | 35 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2018.
All research outputs
#563,340
of 25,382,440 outputs
Outputs from Nature and science of sleep
#51
of 629 outputs
Outputs of similar age
#12,468
of 342,877 outputs
Outputs of similar age from Nature and science of sleep
#2
of 7 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 629 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,877 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.