ArticleDisease markers2019
Serum Uric Acid Is Independently Associated with Risk of Obstructive Sleep Apnea-Hypopnea Syndrome in Chinese Patients with Type 2 Diabetes.
Article in Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.
- Association between elevated cystatin C levels and obstructive sleep apnea hypopnea syndrome: a systematic review and updated meta-analysis.BMC pulmonary medicine · 2025Pooled it
- Composite lipid indices in patients with obstructive sleep apnea: a systematic review and meta-analysis.Lipids in health and disease · 2023Pooled it
- Association between obstructive sleep apnea and hyperuricemia/gout in the general population: a cross-sectional study.BMC musculoskeletal disorders · 2025Article
- Association between mixed venous oxygen saturation and serum uric acid levels in patients with heart failure.PloS one · 2025Article
- Serum uric acid is related to left ventricular geometry and function in patients with obstructive sleep apnea.Sleep & breathing = Schlaf & Atmung · 2023Article
- Association of self-reported snoring and hyperuricaemia: a large cross-sectional study in Chongqing, China.BMJ open · 2022Article
- Visceral Adipose Tissue Indices Independently Correlated with Obstructive Sleep Apnea in Patients with Type 2 Diabetes.Journal of diabetes research · 2022Article
- Establishment of sex difference in circulating uric acid is associated with higher testosterone and lower sex hormone-binding globulin in adolescent boys.Scientific reports · 2021Article
- Time-dependence and comparison of regional and overall anthropometric features between Asian and Caucasian populations with obstructive sleep apnea: a cumulative meta-analysis.Journal of thoracic disease · 2021Article
- Higher Apnea-Hypopnea Index (AHI) and Oxygen Desaturation Index (ODI) Were Independently Associated with Increased Risks of Hypertension in Patients with T2DM: A Cross-Sectional Study.International journal of hypertension · 2021Article
- Lipid accumulation product (LAP) was independently associatedwith obstructive sleep apnea in patients with type 2 diabetes mellitus.BMC endocrine disorders · 2020Article
- Hyperuricemia, the heart, and the kidneys - to treat or not to treat?Renal failure · 2020Review
- Detection of Snore from OSAHS Patients Based on Deep Learning.Journal of healthcare engineering · 2020Article
- Usefulness of Cathepsin S to Predict Risk for Obstructive Sleep Apnea among Patients with Type 2 Diabetes.Disease markers · 2020Observational
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWe aimed to investigate the association between serum uric acid (SUA) levels and obstructive sleep apnea-hypopnea syndrome (OSAHS) in patients with type 2 diabetes.
methodsA cross-sectional study of 212 type 2 diabetes mellitus (T2DM) patients was conducted in Xiamen, China. All patients underwent polysomnography (PSG) recordings for OSAHS diagnosis. Patients were grouped according to the apnea-hypopnea index (AHI) as mild (5-14.9), moderate (15-29.9), and severe (≧30) OSAHS. Patients with AHI ≤ 4.9 served as the control group. Weight, body mass index (BMI), SUA, liver function, renal function, blood pressure, lipid profiles, and glycemic parameters were measured.
resultsA total of 158 patients (101 men and 57 women) with complete data were analyzed in this study. 127 patients were identified as OSAHS. Among the 127 patients with OSAHS, 56 (44.1%), 37 (29.1%), and 34 (26.8%) had mild, moderate, and severe OSAHS, respectively. Correlation analyses showed that the SUA level was significantly related to the apnea-hypopnea index (AHI) (
conclusionsThe SUA level is significantly associated with the severity of OSAHS and should be controlled when managing OSAHS.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.