Triglyceride-glucose index and obstructive sleep apnea: a systematic review and meta-analysis

Association between obstructive sleep apnea syndrome and type1/type2 diabetes mellitus: A systematic review and meta-analysis

INTRODUCTION

Obstructive sleep apnea (OSA) is characterized by a complete or partial obstruction of the upper airway, along with hypoxemia, microarousals, and sleep fragmentation. Compelling evidence has clarified a bidirectional correlation between OSA and diabetes mellitus (DM). This paper was to assess the link between OSA and DM via meta-analysis, consisting of type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM).

MATERIALS AND METHODS

Four databases (PubMed, Cochrane Library, Embase, and CNKI) were screened from inception to March 2024 for observational studies of OSA and DM, including case-control studies and cohort studies. Bidirectional associations between OSA and DM were analyzed, consisting of T1DM and T2DM. Random-effect models were employed to determine the pooled odds ratio (OR) and 95% confidence intervals (CIs) to compare prevalence. Traditional subgroup analyses were implemented. Review Manager 5.3 and Stata 16.0 were utilized for data analyses.

RESULTS

Thirty-five studies were enrolled, including 12 prospective cohort studies, 4 retrospective cohort studies, and 19 case-control studies. DM prevalence was notably higher in OSA patients than in non-OSA patients (OR: 2.29, 95% CI: 1.93-2.72), and OSA prevalence was notably higher in DM patients than in non-DM patients (OR: 2.12, 95% CI: 1.73-2.60). Subgroup analysis uncovered that DM prevalence in the OSA population was more significant in the group <50 years (OR: 3.28, 95% CI: 2.20-4.89) and slightly decreased in the group >50 years (OR: 1.82, 95% CI: 1.38-2.40).

CONCLUSIONS

The meta-analysis reveals a bidirectional link between OSA and DM.

Triglyceride-glucose index and the risk of in-hospital and ICU all-cause mortality: a systematic review and meta-analysis of observational studies

Several studies have illustrated the association of the triglyceride glucose (TyG) index with in-hospital and intensive care unit (ICU) mortality. However, no studies have compiled this evidence and reached a conclusion. This study aimed to quantify the association of the TYG index with the risk of in-hospital and ICU mortality. An extensive search of databases including PubMed, Scopus, and Web of Science, was performed up to 21 Jan 2024. Nineteen studies were included in the meta-analysis. The outcomes were in-hospital mortality in 18 studies and ICU mortality in 8 studies. Among the 42,525 participants, 5233 in-hospital and 1754 ICU mortality cases were reported. The pooled analysis revealed that each unit increase in the TYG index was associated with a 33% and 45% increase in the risk of in-hospital (RR = 1.33; 95% CI: 1.23, 1.43; I squared = 90.3%) and ICU (RR: 1.45; 95% CI: 1.25, 1.67; I squared = 44.8%) mortality, respectively. Subgroup analysis revealed a stronger association between the TYG index and the risk of in-hospital mortality in patients with cardiovascular diseases than in those with cerebrovascular diseases (Pheterogeneity between Groups = 0.014). The findings of this study showed a positive association between the TyG index and the risk of in-hospital and ICU mortality. (PROSPERO registration ID: CRD420245414390).

Exploring the TyG Index and the Homeostasis Model Assessment of Insulin Resistance as Insulin Resistance Markers: Implications for Fibromyalgia Management and Understanding-A Narrative Review

Fibromyalgia (FM) is a chronic musculoskeletal disease with a higher prevalence among women. To date, there has been no definitive laboratory or imaging assessment for FM, and hence, the diagnosis criteria for FM remained based on subjective assessment of symptoms with high overlap with other rheumatological disorders. Many patients with FM suffer from metabolic disorders leading to insulin resistance (IR). There have been several methods to assess IR, among which the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and the triglyceride-glucose (TyG) index have been used more frequently, with the latter being more available and cost-effective. As higher IR has been reported for patients with FM with various mechanisms, in this review, we sought to investigate the association between IR and FM using the current evidence. One of the possible underlying mechanisms of this association might be mitochondrial dysfunction and oxidative stress observed in IR conditions and its role in FM. Studies have also shown that IR indices are higher in patients with FM, compared to healthy controls, while higher HOMA-IR levels were also reported for higher severities of FM based on Fibromyalgia Impact Questionnaire-Revised (FIQR) scores. While these findings suggest the possible involvement of IR in FM pathophysiology and add to the value of IR measurement in FM clinical assessment, further large-scale studies are needed to establish a definitive causal association between them.

Joint effects of depressive symptoms and triglyceride-glucose index on cardiovascular events in acute coronary syndrome patients: The mediating role of TyGi

OBJECTIVE

Our aim was to explore the joint impacts of depressive symptoms along with triglyceride-glucose index (TyGi) on major adverse cardiovascular events (MACE) in patients who have acute coronary syndrome (ACS) and investigate whether the impact of depressive symptoms on MACE is mediated through the TyGi.

METHODS

This extensive cohort study included 3681 ACS patients. Depressive symptoms and TyGi were assessed at baseline, and the patients were subsequently followed for two years to monitor the occurrence of MACE.

RESULTS

Throughout the two-year monitoring period, 387 (10.5 %) patients with ACS experienced MACE. The TyGi was positively correlated with MACE risk (hazard ratio [HR]: 1.301, 95 % confidence interval [CI]: 1.112-1.522, p = .001). A nonlinear relation was observed between the TyGi and MACE (p for nonlinearity = 0.04). Joint analyses revealed that, unlike the non-depression & TyG low group, the depression & TyG low group had a two-fold elevation in MACE risk (HR: 2.108, 95 % CI: 1.499-2.966), while the depression & TyG high group represented an even higher risk (HR: 2.442, 95 % CI: 1.786-3.339). The mediation analysis results showcased that the TyGi was a significant mediator of the interplay between depressive symptoms and MACE.

CONCLUSION

Depressive symptoms and the TyGi jointly influence MACE risk in ACS patients, with the TyGi mediating this relation. Close monitoring and management of depressive symptoms and the TyGi are crucial during ACS rehabilitation.

Bidirectional interplay of sleep apnea syndrome and cardio-vascular disorders in diabetes

Although often overlooked sleep apnea has emerged as a significant public health concern. Obstructive sleep apnea (OSA) and diabetes commonly co-exist with a vicious cycle worsening the incidence and severity of both conditions. OSA has many implications including cardiometabolic disorders and impaired cardiovascular (CV) prognosis. OSA combined with diabetes generates a cumulative effect on CV outcomes. The association of OSA with several comorbidities including CV disease and heart failure is bi-directional meaning that some of them are likely to contribute to OSA. In patients with diabetes, OSA treatment should be integrated in a holistic strategy of prevention of CV and microvascular complications. This article provides some clues to advance the understanding of the interplay between OSA and CV disorders in diabetes and to consider the role of some CV risk markers like cardiac autonomic neuropathy and artery stiffness and of novel metrics for hypoxic-related events in CV risk stratification, and offers a discussion on the effects of medical approaches including weight loss strategies, GLP1-receptor agonists and sodium-glucose cotransporter 2 inhibitors. It provides a guidance to improve screening and diagnosis of OSA, and adherence to OSA treatment in patients with diabetes.

Exploring the Association Between Triglyceride-Glucose Indices and Their Derivatives With Obstructive Sleep Apnea: Insights From the National Health and Nutrition Examination Survey

Background

Simple and affordable methods for evaluating Insulin Resistance (IR) have been suggested, such as the Triglyceride-Glucose (TyG) index and its variants, including the TyG-Body Mass Index (TyG-BMI), TyG-Waist Circumference (TyG-WC), and TyG-Waist-to-Height Ratio (TyG-WHtR). The aim of this study is to investigate the relationship between these TyG-related indices, which measure IR, and Obstructive Sleep Apnea (OSA).

Methods

This study analyzed NHANES data from 2007-2008, 2015-2016, and 2017-2020. TyG and its derivatives were evaluated as continuous and categorical variables in relation to OSA using multivariable logistic regression models. Subgroup analyses, dose-response relationships, and threshold effects were explored, and the diagnostic performance of TyG-related indices was assessed using AUC curves.

Results

The study included 8,374 participants. The fully adjusted Model 3 analysis (Note: Body Mass Index was not adjusted for TyG-BMI) of continuous variables showed a positive correlation between OSA and all four indices. All four TyG-related indicators showed statistically significant relationships with OSA when grouped into quartiles (TyG: AOR = 1.448, 95% CI: 1.260-1.663; TyG-BMI: AOR = 3.785, 95% CI: 3.319-4.317; TyG-WC: AOR = 2.089, 95% CI: 1.629-2.677; TyG-WHtR: AOR = 1.913, 95% CI: 1.548-2.363). Subgroup analysis revealed a stronger association of TyG-WHtR with OSA in the 41-59 age group (AOR = 1.459, 95% CI: 1.254-1.698) and the low-income group (AOR = 1.451, 95% CI: 1.241-1.698). TyG showed a linear relationship with OSA, while TyG-BMI, TyG-WC, and TyG-WHtR exhibited nonlinear relationships. The diagnostic capability was highest for TyG-WC, with an AUC of 0.647.

Conclusion

The study confirms strong associations between OSA and the TyG indices, particularly TyG-WC, which demonstrates significant predictive power for OSA risk. Future longitudinal studies are recommended to further investigate these associations and enhance OSA management in resource-constrained environments.

Relationship between triglyceride levels and different snoring states: a systematic review and meta-analysis

OBJECTIVE

High triglyceride (TG) levels are important risk factors for cardiovascular disease (CVD). Some recent studies have shown that snoring is also closely related to elevated TG levels. The specific pathogenesis of elevated TG levels in snoring patients is still unclear. Therefore, we performed this meta-analysis to evaluate the relationship between snoring and elevated TG levels.

MATERIALS AND METHODS

A systematic search was conducted in four online electronic databases as of Jul 1, 2024. The standardized mean difference (SMD) and corresponding 95% confidence interval (CI) for TG levels in each study were pooled. Moreover, we performed subgroup analysis according to snoring status and body mass index (BMI). All the data were pooled and analysed with Review Manager 5.3.

RESULTS

The meta-analysis included five studies with 39,102 participants. Our results revealed that snoring was associated with elevated TG levels, with a pooled SMD of 0.23 (95% CI 0.14 to0.32; P < 0.00001). We found that occasional snoring and habitual snoring were associated with high TG levels, with pooled SMD of 0.26 (95% CI 0.04to0.49; P = 0.002) and 0.29 (95% CI 0.16to0.43; P < 0.0001), respectively. According to the subgroup analysis of BMI, BMI < 25 kg/m2 and BMI ≥ 25 kg/m2 were associated with increased TG levels, with pooled SMD of 0.13 (95% CI 0.04 to 0.22; P = 0.004) and 0.24 (95% CI 0.10 to 0.39; P = 0.0007), respectively.

CONCLUSIONS

Our meta-analysis revealed that both occasional and habitual snoring were associated with elevated TG levels. More importantly, our findings also revealed that the relationship between snoring-induced elevated TG levels and BMI was fragile.

Associations of TyG index with coronary heart disease risk and coronary artery sclerosis severity in OSA

BACKGROUND

Insulin resistance (IR) is involved in the pathogenesis and progression of obstructive sleep apnea (OSA) and coronary heart disease (CHD). The triglyceride glucose(TyG) index, an alternative indicator of IR with high reliability, is linked to CHD development and severity. However, the association of TyG index with CHD in OSA cases remains undefined. This study explores the association of TyG index with CHD risk and coronary artery sclerosis severity in the OSA population.

METHODS

OSA cases with suspected CHD, enrolled at the Department of Hypertension, The First Affiliated Hospital of Xinjiang Medical University between February 2020 and June 2024, were assigned to the OSA and OSA + CHD groups, followed by TyG index assessment. The t-test, Mann-Whitney U-test and one-way analysis of variance were utilized to compare continuous data, while comparisons of categorical data utilized the chi-square test or Fisher's exact test. Logistic regression analysis was conducted to determine factors independently predicting OSA with CHD and Gensini scores. Restrictive cubic spline (RCS) was used to assess potential non-linear associations of TyG index with CHD risk and Gensini score in OSA patients.

RESULTS

Totally 1059 OSA patients were included, with 514 diagnosed with CHD (48.54%). Multivariable logistic regression analysis upon adjustment for age, gender, hypertension, diabetes, and smoking history revealed TyG index as a risk factor for CHD in OSA cases. CHD risk in the high-TyG index group was 1.977 fold higher versus the low-TyG index group (OR = 1.977, 95% CI 1.424-2.800, P < 0.001). In addition, TyG index had a linear relationship with CHD (P for nonlinearity = 0.0709). In moderate to severe OSA cases, the high-TyG index group had a significantly higher CHD risk (OR = 2.430, 95% CI 1.601-3.690, P < 0.001). Gensini score and TyG index (P for non-linearity = 0.0033) had a non-linear relationship, while high TyG index was a risk factor for high Gensini score.

CONCLUSION

TyG index is a risk factor for CHD in OSA cases and reflects the severity of coronary atherosclerosis. TyG, a surrogate indicator for IR evaluation, may help predict CHD in OSA cases, especially in moderate to severe OSA.

Association between metabolic score for visceral fat and obstructive sleep apnea: a cross-sectional study

Background

Previous studies have established a connection between obesity and obstructive sleep apnea (OSA), novel surrogate markers of adipose accumulation may serve as more critical and reliable factors for consideration. Consequently, this study aims to explore and elucidate the correlation between metabolic score for visceral fat (METS-VF) and OSA.

Methods

In this cross-sectional study, the data from the National Health and Nutrition Examination Survey (NHANES) during the period from 2013 to 2020 were adopted. Through multivariate logistic regression, restricted cubic spline regression (RCS), subgroup analyses and sensitivity analyses, the correlation between METS-VF and OSA was explored.

Results

Among 8,284 subjects, 4,176 of them were categorized as having OSA. It was observed that the quartile range of METS-VF increased, with a notable rise in the prevalence of OSA (32.8% vs. 49.8% vs. 56.9% vs. 62.1%, p < 0.001). Logistic regression analyses showed a significant positive correlation between METS-VF and the risk of having OSA, even after accounting for potential confounders (OR = 2.436, 95% CI: 2.065, 2.874). Subgroup analyses further revealed a stronger correlation between OSA and METS-VF among subjects who were female, younger, and Mexican Americans. RCS regression identified a positive linear correlation, without threshold effects. Sensitivity analyses with stop breathing (OR = 2.283, 95%CI: 1.169, 3.070) or snoring (OR = 2.716, 95%CI: 2.273, 3.246) as outcomes reaffirmed the positive correlation with METS-VF.

Conclusion

Elevated METS-VF demonstrated a linear correlation with the increased incidence of OSA, suggesting the potential utility as a predictive index for OSA.

The mediating effect of TyG and its derived indices in the association between OSAHS and atherosclerosis in patients with T2DM

OBJECTIVE

Triglyceride-glucose index (TyG) and its derived indices which better reflect metabolic disturbances on atherosclerosis has not been reliably compared in patients with type 2 diabetes mellitus (T2DM). Besides, obstructive sleep apnea hypopnea syndrome (OSAHS), a driver of atherosclerosis (AS), can exacerbate metabolic disturbances strongly. The aim of this study is to explore the mediating effect of glycolipid metabolism on the association between OSAHS and arterial stiffness in T2DM patients.

METHODS

154 T2DM patients were involved in this study and were split into two groups: T2DM and T2DM + AS. Logistic regression analysis determined the accurate effects of different factors on the AS of T2DM patients. The capacity of TyG and the indices it derives to predict AS was assessed using the receiver operating characteristic (ROC) curve. Mediation analysis was employed to investigate the mediating effect of TyG and its derived indices on the association between OSAHS and arterial stiffness in T2DM patients.

RESULTS

OSAHS, TyG, and its derived indices were independent risk factors for AS in T2DM patients. Stratified by age, the hazardous effects of TyG and its derived indices remained significant in T2DM patients aged ≥ 50 years, but not in those aged < 50 years. In T2DM patients aged ≥ 50 years, the novel indices have a high predictive value for AS, with TyG-BMI exhibiting the largest AUC(AUC:0.788;95% CI:0.647 ∼ 0.928; P < 0.001). The mediation analysis results indicated that in T2DM patients aged ≥ 50 years, TyG, TyG-BMI, TyG-WC, and TyG-WHtR acted as potential mediators in the association between OSAHS and AS, with mediation effects of 33.42%, 48.2%, 37.7%, and 40.21%, respectively. However, there was no significant mediating effect observed in the younger patients.

CONCLUSION

TyG and its derived indices are strongly correlated with AS in T2DM patients, of which TyG-BMI has the best predictive performance. Besides, OSAHS partially exerts its atherogenic effect through glucolipid metabolism disorder in the T2DM population aged ≥ 50 years, while it mainly exerts a direct atherogenic effect in patients aged < 50 years.

The association between triglyceride glucose index and the risk of cardiovascular disease in obstructive sleep apnea

PURPOSE

The triglyceride glucose (TyG) index is a dependable indicator of insulin resistance (IR), serves as a valuable biomarker for identifying obstructive sleep apnea (OSA) and predicting its comorbidities. Both OSA and the TyG index are significantly related to the incidence and development of cardiovascular disease (CVD). We focus on investigating the relationship between the TyG index and the incidence of CVD risk in OSA.

METHODS

The TyG index, homeostatic model assessment of IR (HOMA-IR) index, and polysomnography were assessed in 191 participants with OSA and without pre-existing CVD. To estimate the lifetime CVD risk, we employed the 'Prediction for Atherosclerotic CVD Risk in China' equation. The TyG index's association with CVD risk was scrutinized using multivariable logistic regression models, contrasting it with the HOMA-IR index. We compared the predictive power for high lifetime CVD risk of the TyG index and the HOMA-IR index using receiver-operating characteristic (ROC) curve analysis.

RESULTS

A total of 89 participants had high lifetime CVD risk. In fully adjusted model and additionally adjusted for HOMA-IR index, participants situated within the fifth quantile of the TyG index exhibited an increased lifetime CVD risk, with OR of 4.32 (95% CI, 1.19-15.67). The TyG index demonstrated significant predictive power for high lifetime CVD risk across varying severities of OSA and outperformed the HOMA-IR index, as evidenced by a larger area under the ROC curve.

CONCLUSION

The TyG index, independent of the HOMA-IR index and obesity, was linked to an increased lifetime CVD risk. In predicting cardiovascular outcomes, the TyG index could potentially outperform the HOMA-IR index among individuals with OSA.

Back to Roots: Dysbiosis, Obesity, Metabolic Syndrome, Type 2 Diabetes Mellitus, and Obstructive Sleep Apnea-Is There an Objective Connection? A Narrative Review

In recent decades, it has become clear that the gut is more than just a digestive organ; it also functions as an immune organ with regulatory capabilities and acts as a "second brain" that influences brain function due to the presence and regulatory roles of the gut microbiota (GM). The GM is a crucial component of its host and significantly impacts human health. Dysbiosis, or microbial imbalance, has been closely linked to various diseases, including gastrointestinal, neurological, psychiatric, and metabolic disorders. The aim of this narrative review is to highlight the roles of the GM in maintaining metabolic health. Sleep is a vital biological necessity, with living organisms having evolved an internal sleep-wake rhythm that aligns with a roughly 24 h light/dark cycle, and this is known as the circadian rhythm. This cycle is essential for tissue repair, restoration, and overall optimal body functioning. Sleep irregularities have become more prevalent in modern society, with fast-paced lifestyles often disrupting normal sleep patterns. Urban living factors, such as fast food consumption, shift work, exposure to artificial light and nighttime noise, medications, and social activities, can adversely affect circadian rhythms, with dysbiosis being one of the many factors incriminated in the etiology of sleep disorders.

Association of insulin resistance surrogate indices and erectile dysfunction: a systematic review and meta-analysis

BACKGROUND

Erectile dysfunction (ED) has been linked to insulin resistance (IR), with various surrogate indices being used to assess this association. This systematic review and meta-analysis aimed to evaluate the relationship between IR indices and the incidence and severity of ED.

METHODS

A comprehensive search across PubMed, Embase, Web of Science, and Scopus was carried out. Required data were extracted and meta-analyzed. The Newcastle-Ottawa Scale (NOS) was employed to evaluate the studies' risk of bias. Sensitivity analyses and meta-regressions were conducted to explore heterogeneity and the impact of confounding variables.

RESULTS

Seventeen studies with a total of 3810 patients with ED and 8252 without ED were included. Meta-analysis revealed that males with ED had significantly higher levels of Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) (SMD = 0.59, 95% CI [0.15, 1.03], I2 = 82%, P < 0.01), Triglyceride-Glucose Index (TyG) (SMD = 0.53, 95% CI [0.31, 0.75], I2 = 69%, P < 0.01), and Visceral Adiposity Index (VAI) (SMD = 0.45, 95% CI [0.25, 0.64], I2 = 76%, P < 0.01) compared to those without ED. However, there was no significant correlation between a one-unit increase in HOMA-IR (OR = 0.63, 95% CI [0.03, 13.69], I2 = 91%, P = 0.77) or TyG (OR = 0.53, 95% CI [0.02, 11.53], I2 = 88%, P = 0.68) and the odds of ED. Additionally, a one-unit increase in VAI was associated with more severe ED (SMD = 0.34, 95% CI [0.03, 0.64], I2 = 16%, P = 0.03). The diagnostic accuracy of these indices varied.

CONCLUSIONS

The results indicate a significant connection between insulin resistance and erectile dysfunction, as shown by HOMA-IR, TyG, and VAI. Yet, their usefulness in predicting ED is restricted because of significant differences and inconsistencies in diagnostic precision. More research is required to determine the clinical importance of these indices in treating ED.

Exploring the Association Between Cognitive Decline and Triglyceride-Glucose Index: A Systematic Review and Meta-Analysis

BACKGROUND

Cognitive decline and dementia are debilitating conditions that compromise the quality of life and charge the healthcare system with a substantial socioeconomic burden. In this context, emerging evidence supports an association between the triglyceride-glucose index (TyG), a surrogate insulin resistance marker, and cognitive decline and dementia. Hence, we systematically reviewed the studies assessing the TyG index in patients with cognitive decline and their controls.

METHODS

Online international databases (PubMed, Scopus, Embase, and the Web of Science) were searched comprehensively for studies showing the TyG index in patients with cognitive decline/impairment. Random-effect meta-analyses were conducted to calculate the standardized mean difference (SMD), pooled odds ratio (OR), and pooled area under the curve (AUC), in addition to 95% confidence intervals (CIs) for the comparisons of groups.

RESULTS

Seventeen studies were included in our analysis. Then, we conducted a meta-analysis, demonstrating that patients with cognitive decline had significantly higher levels of TyG index than those without (SMD 0.83, 95% CI 0.16 to 1.50, p = 0.015). Moreover, our data showed that a 1-unit increase in the TyG index was associated with higher odds of cognitive decline (adjusted OR [aOR] 2.86, 95% CI 1.49 to 5.50, p = 0.002). Further, we observed that patients in the fourth TyG quartile with higher values of the TyG index than the first quartile presented with more increased cognitive decline (aOR 1.62, 95%CI 1.11 to 2.38, p = 0.013). Finally, pooled AUC data for the diagnostic performance of the TyG index resulted in an overall AUC value of 0.73 (95% CI 0.66 to 0.79). Sensitivity and specificity were also calculated as 0.695 and 0.687, respectively.

CONCLUSION

This study supports the clinical utility of the TyG index in patients with cognitive decline and solicits more focused studies to consolidate its usage in clinical settings and real-world practice.

The association between the triglyceride-glucose index and serum anti-aging protein α- Klotho: a population-based study

BACKGROUND

Both anti-aging protein α-Klotho and the triglyceride-glucose (TyG) index hold predictive value for the incidence, progression, and outcomes of cardiovascular disease, diabetes and many other diseases. However, their relationship remains unclear.

METHODS

We conducted a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) 2007-2016. Weighted multivariate linear regression models and subgroup analysis were constructed to assess the association between TyG index and α-Klotho levels. Nonlinear correlations were explored using restricted cubic splines (RCS), generalized additive models (GAM) and smooth curve fitting. Segmented regression model was conducted to explore potential threshold effects and identify the inflection point.

RESULTS

A total of 2568 participants satisfied the predetermined criteria were enrolled in the final analysis. After fully adjusting for covariates, TyG index was shown to be markedly negatively correlated with α-Klotho [β=-74.07, 95%CI (-100.29,-47.85), p < 0.001]. Gender was significantly correlated with this negative connection according to subgroup analysis and interaction testing (p for interaction < 0.05).Additionally, we discovered a linear association between TyG index and α-Klotho in all participants (p for nonlinear = 0.761), while non-linear association in female (p for nonlinear = 0.016).The analysis of threshold effect in the female participants found that the inflection point of TyG index was 8.01, exceed which the level of α-Klotho decreased significantly with increasing TyG index[β=-151.72, 95%CI (-201.93, -101.50), p < 0.001].

CONCLUSION

Our findings demonstrate a negative association between TyG index and α-Klotho levels, with the effect being more pronounced in females. TyG index may serve as an early indicator of individuals with low α-Klotho levels, especially among females. These findings highlight the need for gender-specific considerations in clinical interventions to improve public health. Further research is needed to clarify the causal direction of this association.

Correlation between triglyceride-glucose index and diabetic kidney disease risk in adults with type 1 diabetes mellitus

BACKGROUND

The triglyceride-glucose (TyG) index is identified as an alternative indicator of insulin resistance (IR) and is associated with macro- and micro-vascular diseases among patients with type 2 diabetes mellitus. The relationship between the TyG index and IR and its impact on diabetic kidney disease (DKD) remains unclear among adults with type 1 diabetes mellitus(T1DM).

METHODS

This study comprised a cross-sectional analysis using data from the Guangdong T1DM Translational Medicine Study (GTT) and a longitudinal analysis using data from the type 1 diabetes (T1D) Exchange registry study. Correlation analysis was used to investigate the association between the TyG index and IR. Logistic regression and Cox proportional hazards regression were performed to explore the impact of the TyG index on DKD risk.

RESULTS

The GTT Study included 836 adults (216 with DKD and 620 without DKD). A significant correlation existed between the TyG index and the estimated glucose disposal rate (r=-0.64, p < 0.01). The TyG index was a risk factor for DKD after confounder adjustment (OR = 1.34, 95% CI:1.03-1.74). The T1D Exchange registry study included 8,771 adults (2,050 with DKD and 6,721 without DKD). After adjusting confounding factors, the TyG index was identified as an independent risk factor for DKD at enrollment, with the highest risk of DKD incidence observed in the highest TyG tertile group (OR = 1.92, 95%CI:1.67-2.20). During a median follow-up of 44.58(21.84, 67.09) months, the risk of developing DKD was increased by 32% at every 1 SD increase of the TyG index over time among participants without DKD at enrollment.

CONCLUSIONS

The TyG index could be used to assess IR and was identified as an independent risk factor of DKD among adults with T1DM.

Elevated Triglyceride-Glucose (TyG) Index Predicts Poor Clinical Outcomes in Critically Ill AECOPD Patients: A Retrospective Study

Purpose

The triglyceride-glucose (TyG) index is a surrogate biomarker of insulin resistance which has been widely used in intensive care unit (ICU) to predict prognosis. However, its role in critically ill acute exacerbation of COPD (AECOPD) patients remains largely unknown.

Material and methods

A total of 645 AECOPD patients were induced in this retrospective cohort study, which extracted data from the eICU Collaborative Research Database (eICU-CRD). The TyG index was calculated as Ln (fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2). The primary endpoint includes in-hospital mortality and ICU mortality. The secondary endpoint was sepsis, acute kidney injury (AKI), and acute respiratory failure (ARF).

Results

Multivariable Cox regression analysis revealed that the TyG index was independently associated with an increased risk of in-hospital mortality (hazard ratio, HR: 1.45, 95% CI: 1.04-2.01, P = 0.028) and ICU mortality (HR: 2.13, 95% CI: 1.28-3.54, P = 0.004). Moreover, the TyG index was independently associated with an increased risk of sepsis (odds ratio, OR: 1.54, 95% CI: 1.24-1.93, P < 0.001), AKI (OR: 1.57, 95% CI: 1.26-2.02, P < 0.001) and ARF (OR: 1.50, 95% CI: 1.20-1.87, P < 0.001). Kaplan-Meier survival analysis revealed that higher TyG indexes were also related to increased in-hospital mortality and ICU mortality. In addition, the restricted cubic splines regression model demonstrated that the in-hospital mortality and ICU mortality increased linearly with increasing TyG index (P for non-linearity = 0.897, P for non-linearity = 0.897, respectively).

Conclusion

Elevated TyG index was independently associated with an increased risk of poor clinical outcomes in critically ill AECOPD patients. A prospective study to define TyG as a biomarker for prognosis prediction in critically ill AECOPD patients is warranted.

Investigating the association between the triglyceride-glucose index and peripheral artery disease: a systematic review and meta-analysis

BACKGROUND

Peripheral artery disease (PAD) is a common disease associated with atherosclerosis, leading to significant mortality and morbidity worldwide. Our study focuses on the association between insulin resistance (IR) and PAD, specifically investigating the triglyceride-glucose index (TyG) as a potential surrogate marker of IR in the context of PAD by pooling the existing studies on this topic.

METHODS

Online databases, including PubMed, Embase, Scopus, and the Web of Science, were searched to find the studies comparing the TyG index in PAD vs. control, reporting the TyG index among PAD severities, and assessing the association of increase in TyG with PAD prevalence. Random-effect meta-analysis was performed to calculate the standardized mean difference (SMD) and 95% confidence interval (CI) for TyG level comparison and to calculate pooled odds ratio (ORs) for a 1-unit increase in TyG and higher vs. lower quartile/tertile of TyG association with PAD.

RESULTS

In the final review, 22 studies comprising 73,168 cases were included. Random-effect meta-analysis showed that patients with PAD had significantly higher levels of the TyG index compared with controls (SMD 0.76, 95%CI 0.65-0.88, P < 0.001). Also, higher severities of PAD were associated with higher TyG levels (SMD 0.48, 95%CI 0.22-0.74, P = 0.0003). Additionally, a 1-unit increase in TyG was associated with a 60% increase in odds of PAD (OR 1.60, 95%CI 1.41-1.80, P < 0.001). Finally, the highest quartile (Q4) of TyG had significantly higher odds of PAD compared to Q1 (OR 1.94, 95%CI 1.49-2.54, P < 0.001).

CONCLUSION

Our meta-analysis has identified a significant association between TyG levels and PAD and its severity. These findings not only contribute to our understanding of the role of IR in PAD pathology but also offer clinicians an exact index for evaluating PAD risk and its complications. This could potentially lead to more effective prevention and management strategies in the future.

Sleep and nighttime behavior disorders in older adults: associations with hypercholesterolemia and hypertriglyceridemia at baseline, and a predictive analysis of incident cases at 12 months follow-up

INTRODUCTION

Sleep disorders, particularly insomnia and obstructive sleep apnea, are associated with dyslipidemia in the general population. The study's aim was to explore the association between pathological Cholesterol and Triglyceride levels, and sleep and nighttime behavior disorders (SNBD) in older adults, whether they might predict SNBD onset, and to emphasize the role of body mass index (BMI) in this association.

METHODS

Alzheimer's Disease Neuroimaging Initiative (ADNI) population with complete Cholesterol, Triglyceride, SNBD, and neurocognitive data were included. Logistic regression was performed to study the association between hypercholesterolemia, hypertriglyceridemia, and SNBD at baseline and at 12 months. Relevant confounders, particularly BMI, were adjusted for.

RESULTS

Among the 2,216 included cases, 1,045 (47%) were females, and the median age was 73 years (IQR: 68, 78). At baseline, 357 (16%) had SNBD and 327 (18%) at 12 months; 187 of them were incident cases. There were more cases of baseline SNBD in the hypertriglyceridemia group than in those without (19% vs. 14%, P-value = 0.003). Similarly, more follow-up SNBD cases had hypertriglyceridemia at baseline (21% vs. 16%, P-value = 0.025). SNBD cases at baseline had significantly higher serum Triglyceride levels than those without (132 vs. 118mg/dL, P-value < 0.001). Only hypertriglyceridemia was significantly associated with baseline SNBD (crude OR = 1.43, 95%CI: 1.13,1.80, P-value = 0.003), even after adjustment for confounding factors (adj. OR = 1.36, 95%CI: 1.06,1.74, P-value = 0.016) and (BMI-adj. OR = 1.29, 95%CI: 1.00,1.66, P-value = 0.048). None of the dyslipidemia forms did predict incident cases at 12 months.

CONCLUSIONS

Hypertriglyceridemia, but not hypercholesterolemia, was associated with higher odds of SNBD. The association was independent of BMI. None of the dyslipidemia forms did predict incident SNBD over 12 months. Sleep disorders should motivate a systematic screening of dyslipidemia in older adults and vice versa.

Relationship between the triglyceride-glucose index and depression in individuals with chronic kidney disease: A cross-sectional study from National Health and Nutrition Examination Survey 2005-2020

Accumulating evidence indicates that individuals with chronic kidney disease (CKD) are at an increased risk of experiencing depressive disorders, which may accelerate its progression. However, the relationship between the triglyceride-glucose (TyG) index and depression in CKD individuals remains unclear. Therefore, this cross-sectional study aimed to assess whether such a relationship exists. To this end, the CKD cohort of the National Health and Nutrition Examination Survey from 2005 to 2020 was analyzed using multivariable logistic regression analyses and a generalized additive approach. A recursive algorithm was employed to pinpoint the turning point, constructing a dual-segment linear regression model. The study included 10,563 participants. After controlling for all variables, the odds ratios and 95% confidence intervals indicated a 1.24 (range, 1.09-1.42) relationship between the TyG index and depression in the CKD cohort. The findings underscored an asymmetrical association, with a pivotal value at a TyG index 9.29. Above this threshold, the adjusted odds ratio (95% confidence interval) was 1.10 (range, 0.93-1.31). This relationship was significant among the obese subgroups. The study results highlight the complex relationship between the TyG index and depression among American adults with CKD.

Triglyceride-glucose index as a predictor of cardiac adverse events in acute coronary syndrome patients undergoing percutaneous coronary intervention: role of diabetes

BACKGROUND

Triglyceride-glucose index (TyG), a surrogate marker of insulin resistance (IR), could be a potential prognostic marker in patients with acute coronary syndromes (ACS). We evaluated the effect of the TyG index on major adverse cardiac and cerebrovascular events (MACCE) in patients with ACS undergoing percutaneous coronary intervention (PCI).

METHODS

This registry-based cohort study was conducted at Tehran Heart Center from 2015 to 2021 and the median follow-up duration was 378 days. The primary outcome was MACCE and the secondary outcomes were MACCE components: all-cause mortality, myocardial infarction, stroke, target vessel revascularization, target lesion revascularization, and coronary artery bypass grafting. For comparison among TyG quartiles (Q), the log-rank test was used. Unadjusted and adjusted hazard ratios (HRs) and their 95% confidence intervals (CIs) were used to describe the association between TyG quartiles and MACCE. A subgroup of euglycemic patients was also evaluated.

RESULTS

A total of 13,542 patients were included. Patients in the fourth TyG quartile (Q4) were younger, had higher mean BMI, and higher prevalence of hypertension, diabetes, and dyslipidemia. The adjusted Cox model showed that a 1-unit increment of the TyG index was associated with a significantly higher risk of MACCE (aHR 1.18, 95% CI 1.08 to 1.30, p < 0.001). Among TyG quartiles, there was a higher MACCE incidence in Q4 compared to Q1 (aHR 1.29, 95% CI 1.08 to 1.53, p = 0.005). In the euglycemic subgroup of the population, there was no significant association between MACCE incidence and a 1-unit increase in TyG or among TyG quartiles.

CONCLUSION

Based on our findings, while higher TyG levels and quartiles were associated with higher rates of MACCE in ACS, there was no such effect in the euglycemic population. If confirmed in future studies, these results can be beneficial for clinicians to risk stratify these patients with an easy-to-use index and determine clinical plans based on their risk.

Phase-Amplitude Coupling in Theta and Beta Bands: A Potential Electrophysiological Marker for Obstructive Sleep Apnea

Background

Phase-amplitude coupling (PAC) between the phase of low-frequency signals and the amplitude of high-frequency activities plays many physiological roles and is involved in the pathological processed of various neurological disorders. However, how low-frequency and high-frequency neural oscillations or information synchronization activities change under chronic central hypoxia in OSA patients and whether these changes are closely associated with OSA remains largely unexplored. This study arm to elucidate the long-term consequences of OSA-related oxygen deprivation on central nervous system function.

Methods

: We screened 521 patients who were clinically suspected of having OSA at our neurology and sleep centers. Through polysomnography (PSG) and other clinical examinations, 103 patients were ultimately included in the study and classified into mild, moderate, and severe OSA groups based on the severity of hypoxia determined by PSG. We utilized the phase-amplitude coupling (PAC) method to analyze the modulation index (MI) trends between different frequency bands during NREM (N1/N2/N3), REM, and wakefulness stages in OSA patients with varying severity levels. We also examined the correlation between the MI index and OSA hypoxia indices.

Results

Apart from reduced N2 sleep duration and increased microarousal index, the sleep architecture remained largely unchanged among OSA patients with varying severity levels. Compared to the mild OSA group, patients with moderate and severe OSA exhibited higher MI values of PAC in the low-frequency theta phase and high-frequency beta amplitude in the frontal and occipital regions during N1 sleep and wakefulness. No significant differences in the MI of phase-amplitude coupling were observed during N2/3 and REM sleep. Moreover, the MI of phase-amplitude coupling in theta and beta bands positively correlated with hypoxia-related indices, including the apnea-hypopnea index (AHI) and oxygenation desaturation index (ODI), and the percentage of oxygen saturation below 90% (SaO2<90%).

Conclusion

OSA patients demonstrated increased MI values of theta phase and beta amplitude in the frontal and occipital regions during N1 sleep and wakefulness. This suggests that cortical coupling is prevalent and exhibits sleep-stage-specific patterns in OSA. Theta-beta PAC during N1 and wakefulness was positively correlated with hypoxia-related indices, suggesting a potential relationship between these neural oscillations and OSA severity. The present study provides new insights into the relationship between neural oscillations and respiratory hypoxia in OSA patients.

Diagnostic and prognostic value of triglyceride glucose index: a comprehensive evaluation of meta-analysis

OBJECTIVE

The present umbrella review aims to collate and summarize the findings from previous meta-analyses on the Triglyceride and Glucose (TyG) Index, providing insights to clinicians, researchers, and policymakers regarding the usefulness of this biomarker in various clinical settings.

METHODS

A comprehensive search was conducted in PubMed, Scopus, and Web of Science up to April 14, 2024, without language restrictions. The AMSTAR2 checklist assessed the methodological quality of the included meta-analyses. Statistical analyses were performed using Comprehensive Meta-Analysis (CMA) software.

RESULTS

A total of 32 studies were finally included. The results revealed significant associations between the TyG index and various health outcomes. For kidney outcomes, a high TyG index was significantly associated with an increased risk of contrast-induced nephropathy (CIN) (OR = 2.24, 95% CI: 1.82-2.77) and chronic kidney disease (CKD) (RR = 1.46, 95% CI: 1.32-1.63). High TyG index was significantly associated with an increased risk of type 2 diabetes mellitus (T2DM) (RR = 3.53, 95% CI: 2.74-4.54), gestational diabetes mellitus (GDM) (OR = 2.41, 95% CI: 1.48-3.91), and diabetic retinopathy (DR) (OR = 2.34, 95% CI: 1.31-4.19). Regarding metabolic diseases, the TyG index was significantly higher in patients with obstructive sleep apnea (OSA) (SMD = 0.86, 95% CI: 0.57-1.15), metabolic syndrome (MD = 0.83, 95% CI: 0.74-0.93), and non-alcoholic fatty liver disease (NAFLD) (OR = 2.36, 95% CI: 1.88-2.97) compared to those without these conditions. In cerebrovascular diseases, a higher TyG index was significantly associated with an increased risk of dementia (OR = 1.14, 95% CI: 1.12-1.16), cognitive impairment (OR = 2.31, 95% CI: 1.38-3.86), and ischemic stroke (OR = 1.37, 95% CI: 1.22-1.54). For cardiovascular outcomes, the TyG index showed significant associations with an increased risk of heart failure (HF) (HR = 1.21, 95% CI: 1.12-1.30), atrial fibrillation (AF) (SMD = 1.22, 95% CI: 0.57-1.87), and hypertension (HTN) (RR = 1.52, 95% CI: 1.25-1.85).

CONCLUSION

The TyG index is a promising biomarker for screening and predicting various medical conditions, particularly those related to insulin resistance and metabolic disorders. However, the heterogeneity and methodological quality of the included studies suggest the need for further high-quality research to confirm these findings and refine the clinical utility of the TyG index.

Relationship of the trajectory of the triglyceride-glucose index with heart failure: the Kailuan study

BACKGROUND

A high triglyceride-glucose index (TyG) is associated with a higher risk of incident heart failure. However, the effects of longitudinal patterns of TyG index on the risk of heart failure remain to be characterized. Therefore, in the present study, we aimed to characterize the relationship between the trajectory of TyG index and the risk of heart failure.

METHODS

We performed a prospective study of 56,149 participants in the Kailuan study who attended three consecutive surveys in 2006-2007, 2008-2009, and 2010-2011 and had no history of heart failure or cancer before the third wave survey (2010-2011). The TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2], and we used latent mixture modeling to characterize the trajectory of the TyG index over the period 2006-2010. Additionally, Cox proportional risk models were used to calculate the hazard ratio (HR) and 95% confidence interval (CI) for incident heart failure for the various TyG index trajectory groups.

RESULTS

From 2006 to 2010, four different TyG trajectories were identified: low-stable (n = 13,554; range, 7.98-8.07), moderate low-stable (n = 29,435; range, 8.60-8.65), moderate high-stable (n = 11,262; range, 9.31-9.30), and elevated-stable (n = 1,898; range, 10.04-10.25). A total of 1,312 new heart failure events occurred during a median follow-up period of 10.04 years. After adjustment for potential confounders, the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident heart failure for the elevated-stable, moderate high-stable, and moderate low-stable groups were 1.55 (1.15, 2.08), 1.32 (1.08, 1.60), and 1.17 (0.99, 1.37), respectively, compared to the low-stable group.

CONCLUSIONS

Higher TyG index trajectories were associated with a higher risk of heart failure. This suggests that monitoring TyG index trajectory may help identify individuals at high risk for heart failure and highlights the importance of early control of blood glucose and lipids for the prevention of heart failure.

Association between the triglyceride-glucose index and mortality in critically ill patients: A meta-analysis

BACKGROUND

To further identify the association of the triglyceride-glucose (TyG) index with the risk of mortality among critically ill patients admitted to the intensive care unit (ICU).

METHODS

The PubMed, Web of Science, and EMBASE databases were searched for relevant studies up to February 2, 2024. The primary outcomes were in-hospital mortality and ICU mortality. The secondary outcomes were 30-day mortality, 90-day mortality, and 1-year mortality. The hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to evaluate the associations between the TyG index and the above endpoints. All the statistical analyses were performed with STATA 15.0 software.

RESULTS

Ten studies involving 22,694 patients were included. The pooled results demonstrated that an elevated TyG index indicated an increased risk of in-hospital mortality (HR = 1.76, 95% CI: 1.41-2.18, P < .001), ICU mortality (HR = 1.52, 95% CI: 1.33-1.74, P < .001), 30-day mortality (HR = 1.50, 95% CI: 1.02-2.19, P = .037), 90-day mortality (HR = 1.42, 95% CI: 1.01-2.00, P = .043), and 1-year mortality (HR = 1.19, 95% CI: 1.11-1.28, P < .001). Subgroup analysis for in-hospital mortality and ICU mortality based on sex, age, body mass index and hypertension showed similar results. However, subgroup analysis stratified by diabetes mellitus (DM) revealed that the associations of the TyG index with in-hospital mortality (HR = 2.21, 95% CI: 1.30-3.78, P = .004) and ICU mortality (HR = 1.93, 95% CI: 0.95-3.94, P = .070) were observed only among patients without DM.

CONCLUSION

The TyG index was significantly associated with mortality among critically ill patients without DM, and an elevated TyG index predicted an increased risk of mortality.

Association between iron metabolism markers and triglyceride-glucose index: A cross-sectional study in China Health and Nutrition Survey

Iron metabolism plays an important role in insulin resistance, and the triglyceride-glucose (TyG) index has been proposed in recent years as a more accessible and cost-effective marker for insulin resistance. This study aims to evaluate the association between iron metabolism markers, including ferritin (FER), transferrin (TRF), and transferrin receptor (TFR), and the TyG index. A total of 6524 Chinese individuals aged between 18 and 75 years were included in this study. Multivariable linear models were used to investigate the association between FER, TRF, and TFR levels, and the TyG index. Further subgroup analyses stratified by age and sex were also performed. There was a positive association between FER and TRF levels and the TyG index in all 3 multivariable linear regression models, regardless of stratification by sex and age. Additionally, TFR was positively associated with the TyG index among females and those aged ≥45 years, but not among males and those aged <45 years. Our findings reveal a positive association between FER and TRF levels and the TyG index in a Chinese population, while the association between TFR levels and the TyG index showed different patterns depending on age and gender.

Nonlinear association between the triglyceride-glucose index and diabetes mellitus in overweight and obese individuals: a cross-sectional retrospective analysis

BACKGROUND

The triglyceride-glucose (TyG) index is linked to both the development and progression of diabetes, while obesity remains a significant risk factor for this disease. However, the relationship between the TyG index and overweight or obese diabetes remains unclear.

METHODS

This study was a cross-sectional analysis of data from 40,633 participants with body mass index (BMI) ≥ 24 kg/m2 who were screened from January 2018 to December 2023 at Henan Provincial People's Hospital. Participants were divided into groups of overweight or obese individuals with diabetes and those without diabetes according to the diabetes diagnostic criteria. The TyG index, the dependent variable, was determined using the equation ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. We explored the association between TyG index and diabetes in overweight or obese individuals through multivariate logistic regression, subgroup analysis, generalized additive models, smoothed curve fitting, and analysis of threshold effects.

RESULTS

Patients who were overweight or obese and had diabetes had higher TyG index levels than those without diabetes. After adjusting for confounders, our findings indicated a significant association between the TyG index and the risk of diabetes in overweight or obese individuals [odds ratio (OR) = 7.38, 95% confidence interval (CI): 6.98-7.81]. There was a J-shaped nonlinear association between TyG index and diabetes. When TyG index was > 4.46, the risk of diabetes increased sharply. Notably, a high baseline TyG index (Q4 group) correlated with a notably greater risk of diabetes than did the Q1 group, with an OR of 22.72 (95% CI: 20.52-25.16). Subgroup analysis revealed that the association between TyG and diabetes was stronger in females than in males (OR = 7.57, 95% CI: 6.76-8.48,), more significant in individuals with a BMI of 24-28 kg/m2 than in those with a BMI ≥ 28 kg/m2 (OR = 8.40, 95% CI: 7.83-9.02), and increased with age (OR = 8.15, 95% CI: 7.25-9.17) (all P for interaction < 0.001).

CONCLUSION

Among overweight or obese individuals, a higher TyG index is associated with an elevated risk of diabetes, especially when TyG is > 4.46. Furthermore, factors such as sex, age, and BMI significantly influence the risk of diabetes in overweight or obese individuals. Specifically, older women with a BMI of 24-28 kg/m2 are at a greater risk of diabetes under similar TyG index conditions.

Impact of obstructive sleep apnea on prognosis of patients with cardiometabolic multimorbidity

BACKGROUND

Cardiometabolic multimorbidity (CMM) is a growing global health problem, and obstructive sleep apnea (OSA) is recognized as an important risk factor for cardiovascular disease. However, the impact of OSA on the prognosis of CMM patients remains unclear.

METHODS

This study was a sub-study of OSA-acute coronary syndrome (ACS) and included 1, 927 hospitalized ACS patients. Patients were divided into the CMM group and the non-CMM group. OSA was diagnosed using the apnea-hypopnea index (AHI). The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCE). The secondary endpoint included cardiac events, all-cause death and all repeat revascularizations.

RESULTS

This study enrolled 1, 927 patients hospitalized for ACS, with a median follow-up of 3 years. Among them, 723 patients (37.5%) had CMM, while 1, 204 patients (62.5%) did not have CMM. Over half of the patients in each group had OSA. OSA patients exhibited worse cardiometabolic profiles than their non-OSA counterparts, including higher body mass index (BMI), glycemic indices, lipids and inflammation. In the CMM group, OSA patients had a significantly higher incidence of MACCE than non-OSA patients (34.7% vs. 23.7%, p = 0.004). These results remained significant after adjustment, indicating that OSA substantially increased the risk of MACCE in the CMM group (adjusted hazard ratio [HR]: 1.432; 95% confidence interval [CI]: 1.017-2.016; p = 0.040). Conversely, the incidence of MACCE was similar between OSA and non-OSA subgroups within the non-CMM cohort. Subgroup analyses showed that OSA increased the risk of MACCE in CMM patients aged ≥ 60 years (adjusted HR: 1.642; 95% CI: 1.031-2.615; p = 0.037) and in those with specific clinical characteristics.

CONCLUSION

OSA significantly impacts the prognosis of CMM patients, highlighting the need for targeted OSA screening and management strategies to improve outcomes in this population potentially.

Association between triglyceride-glucose index and sarcopenia in patients with chronic inflammatory airway disease

Objective

This research sought to explore the association between the triglyceride-glucose (TyG) index and the risk of sarcopenia in patients with chronic inflammatory airway disease (CIAD).

Methods

Data were obtained from the National Health and Nutrition Examination Survey 2011-2018. Grouping was performed using TyG index tertiles and multiple logistic regression was employed to assess the correlation between TyG levels and the risk of sarcopenia. The Receiver Operating Characteristic (ROC) curve analysis was conducted to determine the prognostic value of the TyG index for sarcopenia. Linear regression analysis was utilized to elucidate the direct relationship between TyG index and sarcopenia. Additionally, the curve between the TyG and sarcopenia indices was examined using a generalized additive model.

Results

The study included 981 individuals diagnosed with CIAD. After adjusting for potential confounders, a significant positive correlation was observed between TyG and sarcopenia (OR = 1.70, 95 % CI: 1.20-2.39, P = 0.002). Trend analysis using the chi-square test revealed an increase in sarcopenia prevalence concomitant with higher TyG levels (P < 0.05). Furthermore, linear regression analysis revealed a notable inverse linear association between the TyG and sarcopenia indices (β = -0.03; 95 % CI: -0.07-0.01; P = 0.020). The ROC curves corroborated the robust predictive capacity of TyG for sarcopenia among patients with CIAD, with an AUC of 0.685 (95 % CI: 0.636-0.735, P < 0.001).

Conclusion

Our research indicates a positive association between TyG and sarcopenia in CIAD patients. The TyG index may serve as a reliable marker for predicting sarcopenia risk in CIAD patients.

Relationship between obstructive sleep apnoea syndrome and gastrointestinal diseases: a systematic review and Meta-analysis

Studies exploring the association between obstructive sleep apnoea syndrome (OSA) and gastrointestinal diseases (GID) are important for enhancing clinical outcomes. This study aimed to systematically assess the association between these two diseases. Adhering to PRISMA guidelines, a comprehensive literature search was conducted across databases including PubMed, Web of Science, Willey Library, Cochrane Library and Scopus. This search focused on English literature published up to January 2024. Literature screening, quality assessment (using the NOS scale) and data extraction were performed by two independent researchers. Statistical analyses were performed using the meta-package of the R.4.2.2 software. An initial screening of 2178 papers was conducted and 11 studies were included. Meta-analysis results showed a significant association between OSA and GID (p < 0.01). Subgroup analyses further indicated a stronger association between OSA and GID in Asian populations compared to Europe and the United States. In addition, both benign and malignant GID were significantly associated with OSA, with a pronounced association for malignant GID than for benign GID. The results of publication bias analysis revealed no significant bias (Begg's test p = 0.45, Egger's test p = 0.60). This study uncovers a notable association between OSA and GID, especially in Asian populations, suggesting that clinicians should consider the potential connection between these two diseases during diagnosis and treatment. However, due to the heterogeneity and limitations of the study, these conclusions need to be further validated through more comprehensive research.

Triglyceride-glucose index and health outcomes: an umbrella review of systematic reviews with meta-analyses of observational studies

BACKGROUND

Numerous meta-analyses have explored the association between the triglyceride-glucose (TyG) index and diverse health outcomes, yet the comprehensive assessment of the scope, validity, and quality of this evidence remains incomplete. Our aim was to systematically review and synthesise existing meta-analyses of TyG index and health outcomes and to assess the quality of the evidence.

METHODS

A thorough search of PubMed, EMBASE, and Web of Science databases was conducted from their inception through to 8 April 2024. We assessed the quality of reviews using A Measurement Tool to Assess Systematic Reviews (AMSTAR) and the certainty of the evidence using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system. This study was registered with PROSPERO (CRD: 42024518587).

RESULTS

Overall, a total of 95 associations from 29 meta-analyses were included, investigating associations between TyG index and 30 health outcomes. Of these, 83 (87.4%) associations were statistically significant (P < 0.05) according to the random effects model. Based on the AMSTAR tool, 16 (55.2%) meta-analyses were high quality and none was low quality. The certainty of the evidence, assessed by the GRADE framework, showed that 6 (6.3%) associations were supported by moderate-quality evidence. When compared with the lowest category of the TyG index, the risk of contrast-induced nephropathy (CIN) [relative risk (RR) = 2.25, 95%CI 1.82, 2.77], the risk of stroke in patients with diabetes mellitus (RR = 1.26, 95%CI 1.18, 1.33) or with acute coronary syndrome disease (RR = 1.56, 95%CI 1.06, 2.28), the prognosis of coronary artery disease (CAD)-non-fatal MI (RR = 2.02, 95%CI 1.32, 3.10), and the severity of CAD including coronary artery stenosis (RR = 3.49, 95%CI 1.71, 7.12) and multi-vessel CAD (RR = 2.33, 95%CI 1.59, 3.42) increased with high TyG index.

CONCLUSION

We found that the TyG index was positively associated with many diseases including the risk of CIN and stroke, the prognosis of CAD, and the severity of CAD which were supported by moderate-quality evidence. TyG index might be useful to identify people at high-risk for developing these diseases.

Association between the triglyceride glucose index and obstructive sleep apnea and its symptoms: results from the NHANES

BACKGROUND

Certain studies have indicated a link between obstructive sleep apnea and insulin resistance in specific populations. To gain more clarity, extensive research involving a broad sample of the overall population is essential. The primary objective of this study was to investigate this correlation by utilizing data from the National Health and Nutrition Examination Survey database.

METHODS

The analysis incorporated data from the National Health and Nutrition Examination Survey database spanning the time periods from 2005 to 2008 and from 2015 to 2018, with a focus on American adults aged 18 years and older after applying weight adjustments. Key variables such as obstructive sleep apnea, triglyceride glucose index, and various confounding factors were considered. A generalized linear logistic regression model was used to investigate the association between obstructive sleep apnea and the triglyceride glucose index, with additional exploration of the consistency of the results through hierarchical analysis and other techniques.

RESULTS

The study included participants aged between 18 and 90 years, with an average age of 46.75 years. Among the total sample, 50.76% were male. The triglyceride glucose index demonstrated a diagnostic capability for obstructive sleep apnea, with an AUC of 0.701 (95% CI: 0.6619-0.688). According to the fully adjusted model, individuals in the fourth quartile of the triglyceride glucose index showed an increased likelihood of having obstructive sleep apnea compared to those in the first quartile (OR: 1.45; 95% CI: 1.02-2.06; P < 0.05). Subgroup analysis indicated that male sex (OR: 2.09; 95% CI: 1.76-2.45; P < 0.05), younger age (OR: 2.83; 95% CI: 2.02-3.96; P < 0.05), white ethnicity (OR: 2.29; 95% CI: 1.93-2.73; P < 0.05), and obesity (OR: 1.54; 95% CI: 1.28-1.85; P < 0.05) were correlated with an elevated risk of OSA.

CONCLUSIONS

This study demonstrated a strong association between an elevated TG index and OSA. Additionally, the triglyceride glucose index could serve as an independent predictor of obstructive sleep apnea.

Triglyceride-glucose index: A promising biomarker for predicting risks of adverse pregnancy outcomes in Hangzhou, China

Introduction

The triglyceride-glucose (TyG) index has been recommended as an alternative indicator of insulin resistance (IR). However, the association between the TyG index and adverse pregnancy outcomes remains to be elucidated.

Methods

The present retrospective study was conducted at Women's Hospital, Zhejiang University School of Medicine and involved a total of 8,514 participants. Maternal fasting lipid profiles and glucose concentrations were measured. Based on the TyG index, the participants were categorized into quartiles. Logistic regression analysis was used to calculate odds ratios (ORs) for each quartile with reference to the first quartile, while receiver operating characteristic (ROC) curve analysis, Hosmer-Lemeshow test, and calibration curve analysis were employed to evaluate the predictive ability of the TyG index for adverse pregnancy outcomes.

Results

The TyG index was higher in patients with preeclampsia, preterm birth, and macrosomia. On univariate analysis, there was an increased risk of developing adverse pregnancy outcomes with increasing quartiles of the TyG. After adjusting for potential confounders in multivariable logistic regression analysis, a positive independent correlation was found between the TyG index and preeclampsia, preterm birth, and macrosomia. In ROC curve analysis for predicting the risks of preeclampsia, preterm birth, and macrosomia, the area under the curve (AUC) could reach 0.665, 0.588, and 0.606, respectively. These predictive models demonstrated good calibration (all P > 0.05).

Conclusions

The TyG index showed a good predictive capacity for assessing the risk of adverse pregnancy outcomes, and it should receive sufficient clinical attention.

Association between obstructive sleep apnea and visceral adiposity index and lipid accumulation product: NHANES 2015-2018

BACKGROUND

Obesity refers to a significant contributor to the development of obstructive sleep apnea (OSA). Early prediction of OSA usually leads to better treatment outcomes, and this study aims to employ novel metabolic markers, visceral adiposity index (VAI), and lipid accumulation product (LAP) to evaluate the relationship to OSA.

METHODS

The data used in the current cross-sectional investigation are from the National Health and Nutrition Examination Survey (NHANES), which was carried out between 2015 and 2018. To examine the correlation between LAP and VAI levels and OSA, multivariate logistic regression analysis was adopted. In addition, various analytical methods were applied, including subgroup analysis, smooth curve fitting, and threshold effect analysis.

RESULTS

Among totally 3932 participants, 1934 were included in the OSA group. The median (Q1-Q3) values of LAP and VAI for the participants were 40.25 (21.51-68.26) and 1.27 (0.75-2.21), respectively. Logistic regression studies indicated a positive correlation between LAP, VAI, and OSA risk after adjusting for potential confounding variables. Subgroup analysis revealed a stronger correlation between LAP, VAI levels, and OSA among individuals aged < 60 years. Through smooth curve fitting, specific saturation effects of LAP, VAI, and BMD were identified, with inflection points at 65.684 and 0.428, respectively.

CONCLUSION

This study demonstrates that elevated levels of LAP and VAI increase the risk of OSA, suggesting their potential as predictive markers for OSA and advocating for dietary and exercise interventions to mitigate OSA risk in individuals with high LAP and VAI levels.

The importance of assessing the triglyceride-glucose index (TyG) in patients with depression: A systematic review

Insulin resistance (IR) has been proposed as a potential risk factor for depression, a major common disorder affecting a significant proportion of adults worldwide. Based on this premise, this study systematically investigated all the studies examining the triglyceride-glucose (TyG) index, a surrogate marker of IR, in patients with depression or suicidal ideas/attempts. Four online databases (PubMed, Scopus, Embase, and Web of Science) were comprehensively searched. After screening, seven studies were included, comprised of 58,981 participants and 46.4% male. While there were some discrepancies among the reports of studies, most of the included studies reported higher levels of TyG index in patients with depression. Moreover, in most cases, a 1-unit increase in the TyG index was associated with significantly higher odds of depression. At last, higher TyG levels were associated with suicidal ideation and attempts. Therefore, this study emphasizes the critical need to further research in this regard and possibly integrate the TyG index measure with routine depression screening to avoid fatal events in the future.

Assessing the association between triglyceride-glucose index and atrial fibrillation: a systematic review and meta-analysis

BACKGROUND

An essential relationship between insulin resistance (IR) and atrial fibrillation (AF) has been demonstrated. Among the methods used to assess IR, the triglyceride-glucose (TyG) index is the more straightforward, dimensionless, and low-cost tool. However, the possible usage of this index in clinical practice to predict and diagnose AF has yet to be determined and consolidated.

OBJECTIVE AND RATIONALE

Herein, we performed a systematic review and meta-analysis to assess the association between the TyG index and AF.

METHODS

Databases (PubMed, Embase, Scopus, and Web of Science) were systematically searched for studies evaluating the TyG index in AF. The inclusion criteria were observational studies investigating AF and TyG index correlation in individuals older than 18 years, while preclinical studies and those without the relevant data were excluded. Random effect meta-analyses comparing TyG levels between AF and non-AF cases, AF recurrence after radiofrequency ablation, and post-procedural AF were performed using standardized mean differences (SMD) with their matching 95% confidence intervals (CIs).

RESULTS

Our screening identified nine studies to be analyzed, including 6,171 participants including 886 with AF. The meta-analysis demonstrated that the TyG index resulted higher in patients with AF than non-AF counterparts (SMD 1.23, 95% CI 0.71 to 1.75, I2 98%, P < 0.001). Subgroup analysis showed the same results for post-procedure AF (SMD 0.99, 95% CI 0.78 to 1.20, I2 10%, P < 0.001) and post-ablation AF (SMD 1.25, 95% CI 1.07 to 1.43, I2 46%, P < 0.001), while no difference was found in population-based cohorts (SMD 1.45, 95% CI - 0.41 to 3.31, I2 100%, P = 0.13). Publication year (P = 0.036) and sample size (P = 0.003) showed significant associations with the effect size, using multivariable meta-regression.

CONCLUSION

The TyG index is an easy-to-measure surrogate marker of IR in patients with AF. Further clinical studies are warranted to demonstrate its ability for routine clinical use and as a screening tool.