↓ Skip to main content

Associations Between Systemic Inflammatory Markers Based on Blood Cells and Polysomnographic Factors in Obstructive Sleep Apnea

Overview of attention for article published in Clinical and Experimental Otorhinolaryngology, March 2023
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
5 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Associations Between Systemic Inflammatory Markers Based on Blood Cells and Polysomnographic Factors in Obstructive Sleep Apnea
Published in
Clinical and Experimental Otorhinolaryngology, March 2023
DOI 10.21053/ceo.2022.01368
Pubmed ID
Authors

Minju Kim, Sung-Woo Cho, Tae-Bin Won, Chae-Seo Rhee, Jeong-Whun Kim

Abstract

Systemic inflammation plays a key role in the pathogenesis of obstructive sleep apnea (OSA); however, methods to easily evaluate the severity of systemic inflammation are yet to be developed. This study aimed to analyze the association between systemic inflammation markers, which could be derived from the complete blood count (CBC) profile, and sleep parameters in a large number of patients with OSA. Patients who visited our hospital's Otorhinolaryngology Sleep Clinic between January 2017 and February 2022 underwent polysomnography and routine laboratory tests, including CBC. Associations between three systemic inflammatory markers, systemic immune-inflammation index (SII), neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR), and polysomnographic and demographic factors including age, sex, body mass index, apnea-hypopnea index (AHI), hypopnea index (HI), lowest oxygen saturation (%), Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, and percentages of non-Rapid Eye Movement (REM) sleep stage 3, REM sleep, and snoring time were analyzed. The inflammation markers of different OSA subgroups were also compared. The association was also analyzed in subgroups with different OSA severities. A total of 1102 (984 male, 134 female) patients were included, and their mean age was 46.70 ± 13.15 + mean AHI. PSQI (p = 0.027) was significantly associated with SII. There were no significant independent factors for the NLR and PLR. Within the simple snorer and mild OSA subgroups, there was no significant association between sleep parameters and the SII. In the severe OSA subgroup, AHI (p=0.004) and PSQI (p=0.012) were independently associated with SII. Our study analyzed systemic inflammatory markers based on a simple, relatively cost-effective test, complete blood count, and showed that AHI and SII were significantly correlated only in the severe OSA subgroup.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 20%
Researcher 1 20%
Unknown 3 60%
Readers by discipline Count As %
Medicine and Dentistry 2 40%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 March 2023.
All research outputs
#17,301,727
of 25,394,764 outputs
Outputs from Clinical and Experimental Otorhinolaryngology
#100
of 247 outputs
Outputs of similar age
#249,421
of 424,519 outputs
Outputs of similar age from Clinical and Experimental Otorhinolaryngology
#1
of 1 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 247 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 424,519 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them