A Correlational Study Elevated Risk of Cardiometabolic Illness and the Prevalence of Obstructive Sleep Apnea Among the Population of Tebing Tinggi, North Sumatra, Indonesia DOI Open Access
Abdul Halim Raynaldo, M. Aron Pase,

Andre Pasha Ketaren

et al.

Journal of Endocrinology Tropical Medicine and Infectiouse Disease (JETROMI), Journal Year: 2023, Volume and Issue: 5(3), P. 160 - 168

Published: Dec. 10, 2023

Background: Obstructive Sleep Apnea (OSA) is a prevalent sleep-related breathing issue, marked by repeated full or partial blockages of the upper airways. It's primary respiratory condition that heightens chances cardiometabolic diseases. In our research, we explored link between increased risk ailments and potential for OSA. Method: We studied 75 participants during community service activities investigated association high disease OSA in Society Tebing Tinggi. measured variables such as gender, age, weight, height, Body Mass Index (BMI), blood pressure, heart rate, random glucose, waist neck circumference, total cholesterol. Subsequently, categorized data performed chi-square tests to analyze associations various factors OSA. Variables with p<0.05 are considered eligible multivariate analysis using binary logistic regression. Results: identified 42 patients had (59.2%), while 33 low (40.8%). The study significant links circumference (p-values <0.001, 0.01 respectively). contrast, BMI, glucose levels, size, cholesterol did not show connection risk. This indicates certain like age groups, hypertension, size important assessing However, determining (p=0.2, p=0.4, p=0.2, p=0.1, p=0.9). Conclusions: Higher diseases (older size) was positively associated

Language: Английский

Association between the triglyceride glucose index and obstructive sleep apnea and its symptoms: results from the NHANES DOI Creative Commons
Chao Wang,

Mengdi Shi,

Chunsheng Lin

et al.

Lipids in Health and Disease, Journal Year: 2024, Volume and Issue: 23(1)

Published: May 6, 2024

Abstract Background Certain studies have indicated a link between obstructive sleep apnea and insulin resistance in specific populations. To gain more clarity, extensive research involving broad sample of the overall population is essential. The primary objective this study was to investigate correlation by utilizing data from National Health Nutrition Examination Survey database. Methods analysis incorporated database spanning time periods 2005 2008 2015 2018, with focus on American adults aged 18 years older after applying weight adjustments. Key variables such as apnea, triglyceride glucose index, various confounding factors were considered. A generalized linear logistic regression model used association additional exploration consistency results through hierarchical other techniques. Results included participants 90 years, an average age 46.75 years. Among total sample, 50.76% male. index demonstrated diagnostic capability for AUC 0.701 (95% CI: 0.6619–0.688). According fully adjusted model, individuals fourth quartile showed increased likelihood having compared those first (OR: 1.45; 95% 1.02–2.06; P < 0.05). Subgroup that male sex 2.09; 1.76–2.45; 0.05), younger 2.83; 2.02–3.96; white ethnicity 2.29; 1.93–2.73; obesity 1.54; 1.28–1.85; 0.05) correlated elevated risk OSA. Conclusions This strong TG Additionally, could serve independent predictor apnea.

Language: Английский

Citations

12
Association of obstructive sleep apnea with cardiometabolic diseases and cardiovascular mortality DOI Creative Commons
Jia Gao,

Licheng Shi,

Xuanfeng Zhu

et al.

The Clinical Respiratory Journal, Journal Year: 2023, Volume and Issue: 17(8), P. 764 - 770

Published: July 21, 2023

Obstructive sleep apnea (OSA) is one of the leading respiratory disorders, increasing risk cardiometabolic diseases. In study, we investigated association between OSA and diseases all-cause cardiovascular mortality in adults.Participants were enrolled National Health Nutrition Examination Survey. The baseline covariates compared participants with without status. Multivariable logistic regression was performed to explore diseases, while Cox proportional for mortality.OSA status positively associated higher risks including hypertension (odds ratio [OR] 1.28, 95% confidence interval [CI] 1.14-1.45; p < 0.001), diabetes (OR 1.46, CI 1.22-1.76; 1.29, 1.08-1.54; = 0.006) after adjusting numerous covariates. However, no associations or observed.OSA a hypertension, diabetes, but had significant adults.

Language: Английский

Citations

15
The role of Klotho and sirtuins in sleep-related cardiovascular diseases: a review study DOI Creative Commons
Farzaneh Rostamzadeh, Siyavash Joukar, Mahboobeh Yeganeh‐Hajahmadi

et al.

npj Aging, Journal Year: 2024, Volume and Issue: 10(1)

Published: Oct. 2, 2024

Language: Английский

Citations

5
Glymphatic Pathway Dysfunction in Severe Obstructive Sleep Apnea: A Meta-Analysis DOI
Sadegh Ghaderi, Sana Mohammadi, Farzad Fatehi

et al.

Sleep Medicine, Journal Year: 2025, Volume and Issue: 131, P. 106528 - 106528

Published: April 21, 2025

Language: Английский

Citations

0
Machine learning methods for adult OSAHS risk prediction DOI Creative Commons
Shanshan Ge,

Kainan Wu,

Shuhui Li

et al.

BMC Health Services Research, Journal Year: 2024, Volume and Issue: 24(1)

Published: June 5, 2024

Abstract Background Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common disease that can cause multiple organ damage in the whole body. Our aim was to use machine learning (ML) build an independent polysomnography (PSG) model analyze risk factors and predict OSAHS. Materials methods Clinical data of 2064 snoring patients who underwent physical examination Health Management Center First Affiliated Hospital Shanxi Medical University from July 2018 2023 were retrospectively collected, involving 24 characteristic variables. Then they randomly divided into training group verification according ratio 7:3. By analyzing importance these features, it concluded LDL-C, Cr, carotid artery plaque, A1c BMI made major contributions Moreover, five kinds algorithm models such as logistic regression, support vector machine, Boosting, Random Forest MLP further established, cross validation used adjust hyperparameters determine final prediction model. We compared accuracy, Precision, Recall rate, F1-score AUC indexes model, finally obtained optimal with accuracy 85.80%, Precision 0.89, 0.75, 0.82, 0.938. Conclusion established OSAHS using ML method, proved performed best among models. This predictive helps identify provide early, personalized diagnosis treatment options.

Language: Английский

Citations

3
Relationship between obstructive sleep apnea and metabolic syndrome based on the NHANES and mendelian randomization study DOI

Tong Feng,

Qingyuan Li,

Ran Duan

et al.

European Archives of Oto-Rhino-Laryngology, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Language: Английский

Citations

0
Impact of a multidisciplinary sleep apnea management group clinic on positive airway pressure adherence and patient-reported outcomes: a randomized controlled trial DOI Creative Commons
Sepideh Khazaie, Reena Mehra,

Raman Bhambra

et al.

Sleep And Breathing, Journal Year: 2025, Volume and Issue: 29(2)

Published: April 4, 2025

Language: Английский

Citations

0
The parameters of daily pH-impedancemetry in patients with comorbidity of gastroesophageal reflux disease and obstructive sleep apnea syndrome DOI

Bairma B. Dambaeva,

Е. В. Онучина

Zabajkalʹskij medicinskij vestnik, Journal Year: 2025, Volume and Issue: 1, P. 33 - 45

Published: May 8, 2025

Objective . To evaluate the parameters of daily pH-impedancemetry esophagus monitoring in case comorbidity gastroesophageal reflux disease (GERD) and obstructive sleep apnea syndrome (OSAS) comparison with monopathology GERD. Materials methods A cross-sectional study was conducted at therapeutic department private healthcare institution Hospital “RZD medicine” Irkutsk two groups patients: GERD combination OSAS. verified accordance clinical recommendations Russian Gastroenterological Association (2020), Lyon Consensus 2.0 (2024). The diagnosis OSAS established criteria Eurasian Cardiologists Society Sleep Medicine Statistical processing obtained data performed using Statistica 10.0 (StatSoft, USA). Results group included 14 patients (46,7%), 16 patients, were comparable by age gender. In group, compared following higher: total AET (p = 0,04), supine position during 0,002); Demeester index 0,013); duration refluxes 0,007); number 0,06); sleep, 0,002) reaching 19 cm above LES 0,051). MNBI Z1 level 0,003) PSPW 0,05) lower. Conclusion OSAS, GERD, more pronounced low high acid reflux, especially position, impaired esophageal clearance a decrease found.

Language: Английский

Citations

0
Machine Learning Methods for Adult OSAHS Risk Prediction DOI Creative Commons
Shanshan Ge,

Kainan Wu,

Shuhui Li

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 14, 2024

Abstract Background Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common disease that can cause multiple organ damage in the whole body. Our aim was to use machine learning (ML) build an independent polysomnography (PSG) model analyze risk factors and predict OSAHS. Materials Methods Clinical data of 2064 snoring patients who underwent physical examination Health Management Center First Affiliated Hospital Shanxi Medical University from July 2018 2023 were retrospectively collected, involving 24 characteristic variables. Then they randomly divided into training group verification according ratio 7:3. By analyzing importance these features, it concluded LDL-C, Cr, carotid artery plaque, A1c BMI made major contributions Moreover, five kinds algorithm models such as logistic regression, support vector machine, Boosting, Random Forest MLP further established, cross validation used adjust hyperparameters determine final prediction model. We compared accuracy, Precision, Recall rate, F1-score AUC indexes model, finally obtained optimal with accuracy 85.80%, Precision 0.89, 0.75, 0.82, 0.938. Conclusion established OSAHS using ML method, proved performed best among models. This predictive helps identify provide early, personalized diagnosis treatment options.

Language: Английский

Citations

0
Association between the triglyceride glucose index and Obstructive Sleep Apnea and its symptoms: results from the NHANES DOI Creative Commons
Chao Wang,

Mengdi Shi,

Chunsheng Lin

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 14, 2024

Abstract Background Some studies have shown that in certain populations, obstructive sleep apnea syndrome is associated with dyslipidemia. To further clarify, it necessary to conduct research using a large sample of the general population. This study aims explore this association National Health and Nutrition Examination Survey (NHANES) database Methods Data sets from NHANES for years 2005 2008 2015 2018 were used, representing American adults aged 18 above after weighting. Information regarding OSA, lipid levels, confounding factors was included. The relationship between OSA abnormal levels analyzed generalized linear model logistic regression, stability results explored hierarchical analysis other methods. Results participants' ages ranged 90 old. average age participants 46.75 years. In total sample, 50.76% male. Furthermore, TyG exhibited diagnostic capability an AUC 0.701. fully adjusted model, fourth quartile index had higher likelihood having compared those first [OR: 1.45; 95% CI (1.02, 2.06); P < 0.05]. Subgroup revealed being male (OR: 2.09; (1.76, 2.45); 0.05), younger group 2.83; (2.02, 3.96); Caucasian 2.29; (1.93, 2.73); obese 1.54; (1.28, 1.85); 0.05) risk OSA. Conclusions study, high closely Simultaneously, may be independent predictor

Language: Английский

Citations

0