Association between triglyceride glucose-body mass index and obstructive sleep apnea: a study from NHANES 2015-2018

Association of triglyceride glucose and obesity indices with chronic obstructive pulmonary disease in US adults: data from 2013 to 2018 NHANES

BACKGROUND

The impact of insulin resistance (IR) on chronic obstructive pulmonary disease (COPD) has caught increasing attention, and the triglyceride-glucose (TyG) index and related indices are deemed reliable indicators for evaluating IR. Nevertheless, the potential associations of TyG and obesity-related indexes with COPD are currently understudied. Hence, this paper was to inspect the links of TyG and obesity-related indices with COPD.

METHODS

This was a cross-sectional study based on data from the NHANES 2013-2018. Weighted logistic regression (WLR), restricted cubic sample (RCS), and receiver operating characteristic (ROC) curves were leveraged to examine the links of the TyG index and obesity indices with COPD. The stability of the correlations was also assessed via subgroup analyses.

RESULTS

Data from 6383 participants were finally included, including 583 patients with COPD. WLR discovered positive associations of TyG, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), and TyG-waist height ratio (TyG-WHtR) with COPD regardless of covariate adjustment (p-value < 0.05, p for trend test < 0.05). After adjusting for all confounders, RCS analysis signaled notable linear links of TyG and obesity-related indices with COPD (p-value < 0.05, p for nonlinear > 0.05). TyG-WHtR showed the highest association with COPD among the indices tested, albeit with limited discriminative ability (AUC = 0.643, 95% CI: 0.619 ~ 0.665). Subgroup analyses further validated the stability and reliability of the results.

CONCLUSION

TyG and its combination with obesity-related indicators are associated with COPD. Among these, TyG-WHtR showed the strongest association with COPD, although causal relationships cannot be inferred and its discriminative ability remained modest. Further prospective studies are warranted to validate these findings.

CLINICAL TRIAL NUMBER

Not applicable.

Triglyceride glucose index and mortality in tracheally intubated patients: a MIMIC-IV retrospective cohort study

Tracheal intubation is crucial in ICU treatment but poses risks of complications and mortality. Simple and effective indicators for assessing mortality risk in intubated ICU patients are needed. This study analyzed 5,915 intubated ICU patients from the Medical Information Mart for Intensive Care 3.0 database. Multivariable Cox regression and two-stage linear regression models were used to assess the relationship between triglyceride glucose (TyG) index levels and ICU and in-hospital mortality rates. High TyG levels significantly correlated with increased mortality risk (HR range 1.34-1.44, p < 0.01). The association was linear with ICU mortality but nonlinear with in-hospital mortality. TyG levels ≥9.2 significantly increased in-hospital mortality risk (HR: 1.277, 95% CI: 1.114-1.464, p < 0.001). Higher TyG indices were associated with a higher risk of ICU and in-hospital mortality, emphasizing the importance of these findings for early prevention or timely intervention in intubated ICU patients.

Association Between Metabolic Score for Insulin Resistance (METS-IR) and Risk of Obstructive Sleep Apnea: Analysis of NHANES Database and a Chinese Cohort

Purpose

Insulin resistance (IR) plays a significant role in the development of obstructive sleep apnea (OSA). The metabolic score for insulin resistance (METS-IR) is a novel method for assessing IR. This study aims to explore the relationship between METS-IR and the risk of OSA.

Patients and Methods

This cross-sectional study included a total of 8297 subjects from NHANES (National Health and Nutrition Examination Survey) database, as well as 581 patients who underwent sleep monitoring in Renmin Hospital of Wuhan University. Logistic regression, subgroup analysis, and receiver operating characteristic (ROC) curve analysis were employed for evaluation.

Results

In the American population, a significant positive association was found between METS-IR and increased risk of OSA. For each unit increase in METS-IR, the risk of OSA increased by 4.4% (OR= 1.044; 95% CI: 1.037-1.059; P <0.001). A similar relationship was observed in the Chinese population. Multivariate Logistic regression model showed that for each unit increase in METS-IR, the prevalence of OSA increased by 6.7% (OR= 1.067; 95% CI: 1.035-1.103; P <0.001), and apnea-hypopnea index (AHI) increased by 0.732 (β= 0.732; 95% CI: 0.573-0.732; P <0.001). Gender subgroup analysis further showed that the association between METS-IR and OSA was particularly significant in male participants (OR= 1.111; 95% CI: 1.065-1.163; P <0.001). In the ROC analysis, the area under the curve (AUC) value of METS-IR for predicting OSA was 0.777, but it is not statistically significantly different from triglyceride glucose (TyG) (AUC = 0.749; P = 0.054), body mass index (BMI) (AUC = 0.769; P = 0.269), and triglyceride glucose-body mass index (TyG-BMI) (AUC = 0.777; P = 0.996).

Conclusion

METS-IR is significantly associated with the risk of OSA and may serve as an effective predictive marker for identifying OSA.

Relationship between body roundness index and obstructive sleep apnea: a population-based study

Objectives

This study aimed to assess the relationship between body roundness index (BRI) and obstructive sleep apnea (OSA) risk and the difference in the ability of BRI and body mass index (BMI) to identify people at high risk for OSA in different conditions.

Methods

This study was based on the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2008 and 2015 to 2018. Participants were categorized into OSA high-risk and OSA low-risk groups via questionnaires about sleep. The potential relationship between BRI and high risk for OSA was explored using several statistical methods, including weighted logistic regression models, receiver operating characteristic curves (ROC), restricted cubic spline curves (RCS), interaction tests, and subgroup analyses.

Results

A total of 9,495 participants were included in this study, including 3,155 in the high-risk group and 6,340 in the low-risk group. In the crude model, BRI was positively associated with a high risk for OSA (OR = 1.23; 95% CI: 1.20-1.27). After adjusting for all covariates, higher BRI quartiles (Q4) were positively associated with high risk for OSA (OR = 3.22; 95% CI: 2.57-4.04). The RCS demonstrated that BRI was non-linearly associated with OSA risk. ROC analyses showed that BRI was better at identifying those at high risk for OSA in the normal-weight population than BMI. Subgroup analyses revealed stronger correlations in non-hypertensive and non-smoking populations.

Conclusions

There is a non-linear positive correlation between BRI and OSA risk, and early monitoring and managing BRI can help to identify people at high risk for OSA as early as possible and reduce the risk.

Non-linear association between weight-adjusted-waist index and obstructive sleep apnea: a cross-sectional study from the NHANES (2005-2008 to 2015-2020)

Background

The principal objective of the present investigation is to undertake an in-depth exploration of the relationship that exists between the newly introduced weight-adjusted waist index (WWI), employed as a surrogate way for corpulence, and obstructive sleep apnea (OSA).

Methods

Analysis using cross-sectional data from 11,545 NHANES participants across 2005-2008 and 2015-2020. Obesity via WWI (waist circumference over sqrt of body weight). OSA via 3 NHANES QnA items: monthly excessive sleepiness, weekly wheezing/snoring/breathing stoppage, weekly snoring. Relationships between WWI and OSA probed with weighted multivariate logistic regression and smoothed curve fitting. Also did subgroup, interaction tests and threshold effect analysis. Excluded those with incomplete WWI, OSA or hypertension data as they might have different health profiles. We excluded participants with incomplete data on WWI, OSA, or hypertation-related items, as those with missing data might have different health profiles.

Results

The study, encompassing a cohort of 11,545 participants, revealed that 5,727 individuals were diagnosed with OSA. Upon conducting fully adjusted models, A positive relevance between WWI and OSA was established, with an odds ratio of 1.57 (95% CI: 1.44, 1.71), indicating a significant relationship. Notably, participants falling within the highest quartile of WWI exhibited a markedly heightened propensity for OSA, being 2.58 times more likely to suffer from it than those in the bottom quartile [OR: 2.58 (95% CI: 2.10, 3.17)]. Rigorous subgroup analyses and interaction tests further confirmed the robustness of this positive association across various subgroups, thereby affirming the consistency of the observed relationship. Additionally, a noteworthy non-linear association and saturation phenomenon were discerned between the WWI and OSA, demarcated by an inflection point at 11.70 cm/√kg.

Conclusion

Our research has clearly shown a significant positive correlation, along with a saturation effect, between WWI and OSA in the American population. However, the cross-sectional design limits causal inference, and the exclusion of certain participants may affect the generalizability of the findings. Future longitudinal studies are needed to explore causality and address potential biases associated with participant exclusion, ultimately improving the broader applicability of the results.

Joint association of diet quality and physical activity with obstructive sleep apnea: A cross-sectional study

OBJECTIVE

This study aimed to assess the relationship between the independent effects of dietary quality (DQ) (Healthy Eating Index [HEI]-2015) and physical activity (PA) and their joint effects and the risk of obstructive sleep apnea (OSA).

METHODS

This cross-sectional study collected information on participants with complete DQ, PA, and OSA diagnostic data from the 2015 to 2020 National Health and Nutrition Examination Survey (NHANES). We used multivariate logistic regression modeling to explore the relationship between the independent and joint effects of DQ and PA and OSA. In addition, sensitivity analyses were conducted to further validate the robustness of the results.

RESULTS

A total of 8050 participants were included in this study, 3930 males and 4120 females. After adjusting for confounders, qualified DQ and high-level PA were significantly associated with a lower risk of OSA, with an odd ratio (OR) of 0.860 (95 % CI: 0.759-0.974) and 0.849 (95 % CI: 0.751-0.961), respectively. In the combined analysis, qualified DQ and high-level PA significantly reduced the risk of OSA (OR: 0.705, 95 % CI: 0.591-0.842). The sensitivity analysis results were consistent with the original results, further validating our findings.

CONCLUSIONS

The results of this study demonstrated that the combination of qualified DQ and high-level PA was significantly associated with a reduced risk of OSA. This finding emphasized the importance of a healthy lifestyle in the prevention of OSA.

Associations of triglyceride glucose-body mass index with short-term mortality in critically ill patients with ischemic stroke

BACKGROUND

The triglyceride glucose-body mass index (TyG-BMI) has been established as a convenient and reliable marker for assessing insulin resistance (IR) and has been shown to be significantly correlated with stroke. However, only a few studies have been conducted in this field, with conflicting conclusions.

METHODS

This study based on the eICU database, investigated the association between TyG-BMI and 28-day mortality in critically ill ischemic stroke (IS) patients. Multivariate Cox regression models were employed to analyze the impacts of the TyG-BMI on 28-day hospital and ICU mortality. Restricted cubic splines (RCS) were applied to explore the nonlinear relationship between the TyG-BMI and 28-day mortality. K‒M curves were utilized for outcome comparisons among different TyG-BMI groups. Additionally, interaction and subgroup analyses were performed to validate the robustness of the results.

RESULTS

A total of 1,362 critically ill patients with IS were enrolled, with a mean age of 68.41 ± 14.16 years; 47.50% were male. Multivariate Cox regression analysis revealed that, the high TyG-BMI group had significantly higher 28-day hospital mortality(HR = 1.734, P = 0.032) and ICU mortality (HR = 2.337, p = 0.048). RCS analysis showed a nonlinear positive correlation between the TyG-BMI and 28-day hospital mortality. Below the inflection point of the TyG-BMI = 380.37, each increase of 1 standard deviation (SD) (approximately 25.5 units) in the TyG-BMI was associated with a 37.3% increase in 28-day hospital mortality (HR = 1.373, P = 0.015), and above 380.376, each 1-SD increase in the TyG-BMI resulted in an 87.9% decrease in 28-day hospital mortality (HR = 0.121, P = 0.057). The log-likelihood ratio test P value = 0.004. For 28-day ICU mortality, the TyG-BMI exhibited a significant positive linear correlation in RCS.

CONCLUSIONS

Elevated TyG-BMI is significantly associated with an increased risk of short-term all-cause mortality in patients with critically ill IS in the United States. This result provides compelling evidence to address the existing discrepancies in this research domain, indicating that the TyG-BMI could serve as a straightforward and efficient biomarker for identifying critically ill IS patients at high risk of mortality.

Association Between Triglyceride-Glucose Related Index and Endometriosis Varies According to Educational Level

BACKGROUND

The association between the triglyceride-glucose (TyG) level, its obesity-related derivatives, and the occurrence of endometriosis (EMS) remains ambiguous, particularly in individuals with higher levels of education. This study sought to explore the relationship between TyG, its obesity-related derivatives, and EMS across various educational backgrounds.

METHODS

This study utilized a substantial dataset obtained from four cycles of the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2006. To explore the relationship between TyG, its obesity-related derivatives, and EMS, we employed a variety of analytical methods, including multivariable logistic regression models, smooth curve fitting, threshold effect analysis, and subgroup analysis, which were applied to participants with varying educational levels.

RESULTS

Among the 2347 participants, 203 (8.65%) were diagnosed with EMS. In the overall population, only the TyG, TyG-waist-to-height ratio (TyG-WHtR), and TyG-waist circumference (TyG-WC) variables demonstrated a positive association with EMS. However, within the group with high educational attainment, TyG, TyG-WHtR, TyG-WC, and TyG-body mass index (TyG-BMI) all exhibited positive correlations with EMS. These associations remained robust after adjustment for multiple potential confounding variables. The subgroup analysis demonstrated that these associations were consistent across different subgroups (p > 0.05). Furthermore, both linear and nonlinear relationships were observed between TyG and its obesity-related derivatives and EMS, as evidenced by the smooth curve fittings and threshold effect analyses. In contrast, no significant associations were identified in the group with lower levels of education.

CONCLUSIONS

Our study suggests that there is variation in the association between TyG and its obesity-related derivatives and EMS across different educational levels, warranting further investigation. In individuals with higher education, elevated levels of TyG and its obesity-related derivatives were associated with a higher prevalence of EMS. Conversely, this correlation was not observed among those with lower educational levels.

Exploring the pharmacological mechanisms for alleviating OSA: Adenosine A2A receptor downregulation of the PI3K/Akt/HIF‑1 pathway (Review)

Obstructive sleep apnea (OSA) is the most common type of sleep apnea, which leads to episodes of intermittent hypoxia due to obstruction of the upper airway. A key feature of OSA is the upregulation and stabilization of hypoxia-inducible factor 1 (HIF-1), a crucial metabolic regulator that facilitates rapid adaptation to changes in oxygen availability. Adenosine A2A receptor (A2AR), a major adenosine receptor, regulates HIF-1 under hypoxic conditions, exerting anti-inflammatory properties and affecting lipid metabolism. The present study explored the roles of A2AR in OSA regulation, specifically focusing on its effects via the PI3K/Akt/HIF-1 pathway. The findings enhance our understanding the pharmacological potential of A2AR in OSA management and suggest future research directions in exploring its clinical applications.

Association between the triglyceride glucose body mass index and asthma: evidence from NHANES 2011-2018

BACKGROUND

Asthma is a common chronic respiratory disease whose increasing prevalence poses a significant burden to human health and the economy. Several studies indicate that insulin resistance (IR) is associated with asthma development. The triglyceride-glucose body mass index (TyG-BMI) is a novel biomarker used to evaluate insulin resistance; however, limited research exists on the relationship between TyG-BMI and asthma. This study aimed to investigate the relationship between TyG-BMI and asthma in U.S. adults.

METHOD

This cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) database for the 2011-2018 cycles. The exposure variable was the TyG-BMI of participants at baseline, which was calculated based on triglycerides (TG), fasting blood glucose (FBG), and body mass index (BMI). The primary outcome variable was asthma status, determined via questionnaire. We analyzed participants' baseline characteristics and employed weighted multivariate logistic regression models to assess the correlation between TyG-BMI and asthma. A subgroup analysis was conducted to assess whether the relationship between TyG-BMI and asthma was influenced by other factors.

RESULTS

In total, 8,553 participants were analyzed, revealing a positive association between TyG-BMI and asthma. In the analysis of TyG-BMI as a continuous variable, after adjusting for confounding variables, the Odds ratio (OR)(95% CI) for the association between TyG-BMI and asthma was 1.003. After further dividing TyG-BMI into quartiles and adjusting for potential confounders in Model 3, the prevalence of asthma was 0.561 times higher in those with the highest TyG-BMI than in those in the lowest quartile (OR: 1.561, 95% CI: 1.181, 2.065). There was a significant interaction between asthma and TyG-BMI among subgroups defined by gender, coronary heart disease, and stroke (interaction P < 0.05).

CONCLUSIONS

This cross-sectional study found a positive association between TyG-BMI and asthma. These results suggest that TyG-BMI has the potential to be used as an indicator to monitor the prevalence of asthma, but further longitudinal studies are needed to confirm causality and to assess its utility in the management of long-term comorbidities.

CLINICAL TRIAL NUMBER

Not applicable.

Association between all-cause mortality and triglyceride glucose body mass index among critically ill patients with sepsis: a retrospective cohort investigation

BACKGROUND

We determined utilizing a sepsis participant cohort whether there is a significant association between TyG-BMI (triglyceride glucose body mass index) and mortality rates at any stage.

METHODS

Herein, a historical cohort investigation approach was adopted, using information provided by the Medical Information Mart for Intensive Care-IV (MIMIC-IV). We categorized the included individuals in accordance with their TyG-BMI data quartiles, and the primary outcomes were mortality during the hospital stay and death rate due to any reason at postadmission day 28, 90, and 365. To evaluate TyG-BMI mortality's relationship with sepsis-induced mortality risk, we employed restricted cubic spline regression (RCS) and Cox regression models. Additionally, we confirmed TyG-BMI's significant predictive value for mortality via machine learning methods. Furthermore, we performed subgroup analyses to investigate possible differences among various patient groups.

RESULTS

The cohort included 4759 individuals, aged 63.9 ± 15.0 years, involving 2885 males (60.6%). The rates of death that took place during hospital stay and at 28, 90 and 365 days postadmission were respectively 19.60%, 24.70%, 28.80%, and 35.20%. As reflected by Cox models, TyG-BMI was negatively associated with mortality risk at various intervals: in-hospital [hazard ratio (HR) 0.47 (0.39-0.56), P = 0.003], 28 days postadmission [HR 0.42 (0.35-0.49), P < 0.001], 90 days postadmission [HR 0.41 (0.35-0.48), P < 0.001], and 365 days postadmission [HR 0.41 (0.35-0.47), P < 0.001]. Additionally, the relationship between TyG-BMI and death rates was L-shaped, as reflected by the RCS, with a TyG-BMI of 249 being the turning point.

CONCLUSIONS

Among sepsis patients in critical care, TyG-BMI is negatively correlated with mortality possibility at various intervals: during hospital stay and 28 days, 90 days, and one year postadmission. TyG-BMI is a beneficial parameter for categorizing risk levels among sepsis patients and for predicting their mortality risk within one year.