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. 2024 Dec 18;13(24):7715.
doi: 10.3390/jcm13247715.

The Impact of Comorbid Sleep-Disordered Breathing on Hospitalization Risk Related to Diabetes and Atherosclerotic Disease: A Retrospective Cohort Analysis

Affiliations

The Impact of Comorbid Sleep-Disordered Breathing on Hospitalization Risk Related to Diabetes and Atherosclerotic Disease: A Retrospective Cohort Analysis

Hlynur Davíð Hlynsson et al. J Clin Med. .

Abstract

Objective: To determine the relationship between comorbid sleep-disordered breathing (SDB) and hospitalization rates related to diabetes mellitus (DM) and atherosclerotic disease (AD). Methods: This study used a retrospective cohort design from a large medical claims database with 5 years of data between 2018 and 2022. The presences of SDB, DM, and AD were identified using International Classification of Diseases (ICD-10) and relevant Current Procedural Terminology (CPT) codes. Hospitalizations related to DM and AD were identified primarily using Place of Service (POS) code 21. Propensity-score matching was first used on data from the entire 5-year period to select matched controls (unadjusted n = 883,910, adjusted n = 888,619) compared to those diagnosed with SDB (n = 519,818) on hospitalization rates during the concurrent 5-year period. A second analysis used propensity-score matching on data from year 1 only to select matched controls (unadjusted n = 248,848, adjusted n = 260,298) compared to those diagnosed with SDB in year 1 (n = 193,671) on hospitalization outcomes in the subsequent 4-year period. Results: Odds ratios (ORs) revealed a significant association between SDB diagnosis and hospitalizations related to DM (OR 1.23-1.71), AD (OR: 1.08-1.34), and either condition (OR 1.17-1.49) in both analyses. Post hoc analysis revealed sex differences in the relationship between SDB and future hospitalizations, with females showing a pattern of significantly elevated risk across all future hospitalization outcomes (OR: 1.25-1.44), whereas males were found to have a significant relationship between SDB diagnosis and future DM hospitalization only (OR 1.10). Conclusions: These findings provide real-world evidence that comorbid SDB increases the risk for hospitalizations related to chronic cardiometabolic conditions. Sex is a potential moderator of this relationship and should be further explored.

Keywords: cardiovascular diseases; diabetes mellitus; hospitalization; sleep apnea syndromes.

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Conflict of interest statement

H.H., J.C.O., J.D., T.K., K.M., R.M.H., E.F., J.S.A. and H.R. are employed by Nox Health, Inc. J.H. is a consultant to, and shareholder of, Nox Health, Inc. E.M.W.’s institution has received research funding from the AASM Foundation, Department of Defense, Merck, NIH/NIA, ResMed, the ResMed Foundation, and the SRS Foundation. E.M.W. has served as a scientific consultant to Axsome Therapeutics, DayZz, Ensodata, Eisai, Idorsia, Merck, Nox Health, Primasun, Purdue, and ResMed and is an equity shareholder in WellTap.

Figures

Figure 1
Figure 1
Cohort selection for analyses. Flowchart of cohort selection for each analysis. Panel (a) depicts the cohort selection for analysis 1 (5-year matching). Panel (b) depicts the cohort selection for analysis 2 (year 1 matching). In each analysis, the SDB group is compared to the control group (adjusted) in the adjusted model and then compared to the control group (unadjusted) in the unadjusted model. G47.32 = high-altitude periodic breathing, and G47.35 = congenital central alveolar hypoventilation syndrome.
Figure 2
Figure 2
Odds ratios of hospitalization rates for SDB and matched controls. Figure 2 illustrates the odds ratios for hospitalizations due to DM and AD for males, females, and combined groups in the adjusted model in Analysis 1 (a) and in the adjusted model in Analysis 2 (b). There are notable differences in the odds ratios between males and females for both DM and AD hospitalizations, particularly in Analysis 2. OR = odds ratio, CI = confidence interval.

References

    1. Young T., Peppard P.E., Gottlieb D.J. Epidemiology of obstructive sleep apnea: A population health perspective. Am. J. Respir. Crit. Care Med. 2002;165:1217–1239. doi: 10.1164/rccm.2109080. - DOI - PubMed
    1. Qie R., Zhang D., Liu L., Ren Y., Zhao Y., Liu D., Liu F., Chen X., Cheng C., Guo C., et al. Obstructive sleep apnea and risk of type 2 diabetes mellitus: A systematic review and dose-response meta-analysis of cohort studies. J. Diabetes. 2020;12:455–464. doi: 10.1111/1753-0407.13017. - DOI - PubMed
    1. Reutrakul S., Mokhlesi B. Obstructive Sleep Apnea and Diabetes: A State of the Art Review. Chest. 2017;152:1070–1086. doi: 10.1016/j.chest.2017.05.009. - DOI - PMC - PubMed
    1. Muraki I., Wada H., Tanigawa T. Sleep apnea and type 2 diabetes. J. Diabetes Investig. 2018;9:991–997. doi: 10.1111/jdi.12823. - DOI - PMC - PubMed
    1. Pamidi S., Tasali E. Obstructive sleep apnea and type 2 diabetes: Is there a link? Front. Neurol. 2012;3:126. doi: 10.3389/fneur.2012.00126. - DOI - PMC - PubMed

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