Association between the cardiometabolic index and non-alcoholic fatty liver disease: insights from a general population

Elevated cardiometabolic index as a potential risk factor for female Urinary incontinence

BACKGROUND

Urinary incontinence (UI) is closely related to metabolic conditions. The cardiometabolic index (CMI) is a novel and easily obtainable indicator used to assess metabolic status. This study aims to explore the potential relationship between CMI and female UI.

METHODS

Data from the NHANES spanning seven consecutive survey cycles from 2005 to 2018 were used, including adult women who self-reported UI and had complete CMI calculation information. The CMI calculation formula is triglycerides(TG)/high-density lipoprotein cholesterol (HDL-C) × waist-to-height ratio (WHtR, WHtR = waist circumference/height). A multivariate logistic regression model was used to examine the linear relationship between CMI and UUI, SUI, and MUI, and subgroup analyses were conducted to explore potential influencing factors. Additionally, RCS curves were used to plot and analyze nonlinear relationships and threshold effects.

RESULTS

A total of 6,628 adult women were enrolled in this study. Multivariate logistic regression showed that in the fully adjusted model, compared to subjects with the lowest CMI, those with the highest CMI had an increased association with UUI, SUI, and MUI by 1.14 times (OR = 2.14; 95 % CI, 1.83-2.50, P < 0.0001), 0.38 times (OR = 1.38; 95 % CI, 1.17-1.63, P = 0.0001), and 0.83 times (OR = 1.83; 95 % CI, 1.49-2.23, P < 0.0001), respectively. Subgroup analysis revealed significant interaction between multiple subgroups and UUI, SUI, and MUI. Additionally, the association between CMI and UUI, SUI, and MUI was nonlinear, with inflection points at 2.98, 3.21, and 2.98, respectively.

CONCLUSIONS

Elevated CMI levels are closely associated with UI and suggest that CMI may serve as a useful reference indicator for assessing UI risk; however, larger prospective cohort studies are needed to validate these findings and clarify the causal relationship between CMI and UI to advance its potential clinical application.

The association between modified cardiometabolic index with non-alcoholic fatty liver disease and liver fibrosis: a cross-sectional study

BACKGROUND

Cardiometabolic index (CMI) was proposed ten years ago as an indicator combining obesity and dyslipidemia. This study aimed to investigate the relationships between newly modified CMI (MCMI) with non-alcoholic fatty liver disease (NAFLD) and liver fibrosis.

METHODS

This cross-sectional study included participants in the 2017-2018 National Health and Nutrition Examination Survey database (NHANES). Linear regression was used to explore the relationship between MCMI and Baseline characteristics. Logistic regression was conducted to analyze the correlation among MCMI with NAFLD and liver fibrosis. Furthermore, restricted cubic spline (RCS) was performed to estimate nonlinear relationships. Receiver operating characteristic curve (ROC) was used to assess the diagnostic performance of MCMI for NAFLD and liver fibrosis.

RESULTS

A total of 1385 participants were enrolled in the study. After adjusting covariates, participants with high MCMI were related to increased risk of NAFLD (OR = 3.52, 95%CI: 1.44-8.61), compared with those having low MCMI. A linear association was observed between MCMI and NAFLD (p for nonlinear = 0.074), and a J-shaped nonlinear relationship was found between MCMI and liver fibrosis (p for nonlinear = 0.002). The area under the curve (AUC) for MCMI to identify NAFLD was 0.821 (95% CI 0.799-0.843), which was higher than that of CMI (AUC = 0.761, 95%CI: 0.735-0.786), fatty liver index for the U.S. population (USFLI, AUC = 0.799, 95%CI: 0.776-0.822), Triglyceride glucose index (TyG, AUC = 0.738, 95%CI: 0.712-0.765), NAFLD liver fat score (NLFS, AUC = 0.786, 95%CI: 0.761-0.810) and hepatic steatosis index (HSI, AUC = 0.799, 95%CI: 0.775-0.822).

CONCLUSIONS

The novel MCMI was positively corelated to the risk of NAFLD. In addition, MCMI was an effective predictor for both NAFLD and liver fibrosis.

Diabetes is the missing link between cardiometabolic index and gallstones: a large cross-sectional study

The cardiometabolic index (CMI), which integrates individual lipid and visceral fat parameters, represents a superior new predictive tool for cardiovascular and metabolic disorders, but its predictive value for gallstones (GS) is unclear. Therefore, the present study used this vacancy to explore the relationship between CMI levels and GS in US adults, assess the mediating role of diabetes mellitus in the pathogenesis of both, and provide new clinical ideas for early prevention and screening of GS in patients with diabetes mellitus. This survey extracted information from the National Health and Nutrition Examination Survey (NHANES) 2017-2020 vintage cycle. Cross-sectional analyses and a variety of statistical techniques were used to analyze the correlation between CMI and GS, including logistic regression, propensity score matching, subject work curves, and restricted cubic spline (RCS). Furthermore, mediation analysis was used to investigate whether and to what extent diabetes mediated the effect of CMI on GS. After analysis of 3,395 participants, a significant positive correlation was observed between elevated CMI levels and increased prevalence of GS In the fully corrected model (Model 4), the prevalence of GS exhibited a 23% increase for every incremental unit rise in logarithmically transformed CM. Mediation analysis showed that diabetes largely mediated the association between CMI and GS, with a mediation ratio of 15.1%. Higher CMI levels are closely linked to a greater occurrence of GS, and diabetes plays a key mediating role in the pathogenesis of both. Addressing dyslipidemia while not neglecting blood glucose levels, and co-management of the two may be a proven way to reduce GS risk.

Correlation between cardiometabolic index and psoriasis: a cross-sectional analysis using NHANES data

Background

Psoriasis is closely associated with metabolic health. The Cardiometabolic Index (CMI) is an innovative and easily obtainable metric employed to assess cardiometabolic health. This study aims to examine the possible relationship between CMI and psoriasis.

Methods

Data from four successive cycles of the National Health and Nutrition Examination Survey (NHANES) conducted between 2003-2004 and 2009-2014 were employed. This encompassed adults with self-reported psoriasis diagnoses and comprehensive information necessary for calculating the CMI. The calculation formula for CMI is Triglycerides (TG)/High-density lipoprotein cholesterol (HDL-C) × WHtR (WHtR = waist circumference/height). A multivariable logistic regression model was utilized to examine the linear relationship between CMI and psoriasis. Subgroup analyses were conducted to investigate potential contributing factors. The linear relationship was further established using smooth curve fitting.

Results

This study, utilizing NHANES data, comprised a cohort of 7,327 American adults. The multivariable logistic regression analysis indicated that in the fully adjusted model, people with the greatest CMI had a 71% increased probability of psoriasis relative to those with the lowest CMI (OR = 1.71; 95% CI, 1.11-2.61, P < 0.05). Smooth curve fitting demonstrated a linear connection between CMI and psoriasis (P < 0.05). The subgroup analysis revealed no significant interactions between CMI and specific subgroups (all interactions P > 0.05).

Conclusion

Our research indicates a substantial linear correlation between CMI and psoriasis in American adults. This method facilitates the identification of groups at increased risk for psoriasis, therefore guiding therapeutic solutions and public health activities to improve metabolic and dermatological health outcomes.

Associations between the cardiometabolic index and atherosclerotic cardiovascular disease acorss different glucose metabolism statuses: insights from NHANES, 1999-2020

BACKGROUND

The cardiometabolic index (CMI) serves as a significant marker of diabetes mellitus (DM) and may predict the potential for cardiovascular disease development. Nevertheless, the correlation between CMI and atherosclerotic cardiovascular disease (ASCVD) among individuals exhibiting varying glucose metabolism statuses (GMS) continues to be unclear.

METHODS

Overall, 24,006 individuals aged 20 and above were enrolled in the research, drawn from the National Health and Nutrition Examination Survey (NHANES) database. Individuals in the study was classified into three distinct categories according to the level of fasting plasma glucose or glycated haemoglobin: normal glucose regulation, prediabetes, and DM. Multivariate logistic regression models and smoothed curve-fitting techniques were applied to investigate the correlation between CMI and ASCVD risk across varying GMS. Additionally, subgroup analyses stratified by relevant factors were performed to identify potential effect modifiers in this relationship.

RESULTS

Overall, 2352 participants (9.8%) with ASCVD were included. An increasing trend in ASCVD risk was observed for each successive CMI tertile. After adjusting for all related covariates, a significantly positive association was observed between CMI and ASCVD (P = 0.0004). Participants with DM in the highest CMI tertile had a 114% higher ASCVD risk compared to those in the lowest tertile (OR = 2.14; 95% CI = 1.30-3.53). Smoothed curve-fitting consistently confirmed the correlation between CMI and ASCVD across diverse GMS. Subgroup analyses and interaction tests highlighted statistically significant differences within the drinking status subgroup (P-interaction = 0.0479) and GMS subgroups (P-interaction = 0.0397).

CONCLUSION

This research suggests a positive association between ASCVD and CMI in adults in the United States, particularly among individuals with DM.

Association between cardiometabolic index (CMI) and suicidal ideation: A cross-sectional analysis of NHANES 2005 to 2018 data

With suicide ranking as a leading cause of death globally, identifying modifiable risk factors is crucial. Suicidal ideation (SI) is a significant precursor to suicide, and there is a growing interest in the role of cardiometabolic factors, particularly the cardiometabolic index (CMI), multiplying the triglyceride-to-high-density lipoprotein cholesterol ratio by the waist-to-height ratio, in mental health outcomes. Previous studies have shown a notable relationship among lipid abnormalities, elevated triglyceride levels, and depressive symptom severity, including SI. This research investigated the correlation between the CMI levels of adult Americans and SI, utilizing data from the National Health and Nutrition Examination Survey (NHANES) ranging from the years 2005 to 2018. After collecting data on demographics, physical examinations, and laboratory testing, multivariate logistic regression analysis was conducted to assess the relationship between CMI and SI while adjusting for relevant factors. The study, which enrolled 15,849 individuals exhibiting symptoms of SI, constituting 3.47% of the total, revealed a significant association between CMI levels and SI. A significant positive association was found between CMI and SI (adjusted OR = 1.07, 95% CI: 1.02-1.13, P = .0029). Moreover, a nonlinear relationship was identified between CMI and SI, characterized by an atypical inverted U-shaped curve with a breakpoint at approximately CMI = 2.08. Subgroup analysis revealed consistent findings across various demographic and clinical subpopulations. The findings of this study demonstrate a substantial correlation between elevated CMI levels and an increased incidence of SI within the US population. Early interventions targeted at individuals with elevated CMI levels, such as psychological support or lifestyle adjustments, may mitigate the risk of SI.

Pre-diabetes and cardiovascular risk factors in NAFLD patients: a retrospective comparative analysis

Objectives

Insulin resistance plays a critical role in the pathophysiology of diabetes mellitus and non-alcoholic fatty liver disease (NAFLD). Moreover, insulin resistance has a central role in atherogensis as the major leading cause of cardiovascular disease (CVD). The aim of the present study was to assess the frequency of pre-diabetes and evaluate the cardiometabolic risk factors among NAFLD patients, comparing those with pre-diabetes to those with normal glucose tolerance.

Methods

In the current retrospective case-control study, the data of 1031 NAFLD patients was retrieved. Based on blood glucose levels, 337 diabetics, 340 pre-diabetes, and, 354 normal glucose patients were diagnosed. After excluding diabetic NAFLD patients, 694 individuals were divided into two groups: normal glucose and pre-diabetes. Various variables, such as age, anthropometric measurements, hypertension, systolic and diastolic blood pressure, and lipid profiles, were extracted from patient files. Statistical analysis was conducted to assess cardiovascular risk factors in NAFLD patients.

Results

Higher age, female gender, higher BMI, triglyceride, waist and hip circumference and waist-to-hip ratio were found in pre-diabetic NAFLD individuals compared with normoglycemic ones (P-value<0.05). Multivariable age-, sex-, BMI- and smoking- adjusted logistic regression showed a predicting role of pre-diabetes and NAFLD concurrence with metabolic syndrome (P-value<0.001, OR:4.31, 95% CI: 2.95- 6.29), but not CVD (P-value=0.353, OR:1.37, 95% CI: 0.71- 2.61).

Conclusion

In this study, nearly one-third of NAFLD patients had pre-diabetes. The mean value of age, BMI, TG, waist and Hip circumference was significantly higher in pre-diabetic patients. The concurrence of pre-diabetes and NAFLD was a predicting factor for metabolic syndrome, but not CVD events.

Cardiac metabolic index as a predictor of new-onset diabetes in non-alcoholic fatty liver disease patients: a longitudinal cohort analysis

OBJECTIVE

The purpose of this investigation is to assess the clinical risk linked to the onset of diabetes in individuals with non-alcoholic fatty liver disease (NAFLD) through the utilization of the cardiac metabolic index (CMI), which is derived from triglycerides, high-density lipoprotein, height, and waist circumference. Research focusing on the application of CMI for evaluating diabetes risk among NAFLD patients remains scarce, and an exploration of the association between CMI and the emergence of diabetes within this demographic has not been conducted. This investigation aims to illuminate this connection, thereby providing novel insights into the prevention of diabetes progression in individuals with NAFLD.

METHODS

Data were procured from a cross-sectional study involving 15,435 participants conducted by the Japanese government, resulting in a final cohort of 2,503 adults aged 18 and above who met the eligibility criteria for evaluation. The CMI is determined using the formula: TG (mmol/L) / HDL-C (mmol/L) * WHtR. CMI values were categorized into quartiles (Q1 to Q4) based on their scores, arranged from low to high. The investigation utilized logistic regression models, restricted cubic spline analysis, and subgroup analyses, with adjustments made for continuous models to elucidate the association between CMI and diabetes development among individuals with NAFLD, as well as the non-linear relationship between CMI and this outcome.

RESULTS

The investigation comprised 2,503 subjects with an average age of 44.79 ± 8.33 years, of whom 204 were diagnosed with new-onset diabetes (8.15%). Multivariate logistic regression analysis indicated that within the CMI quartile groupings, individuals with NAFLD in the uppermost quartile (Q4) exhibited the greatest likelihood of new-onset diabetes relative to those in the lowest quartile (Q1) (odds ratio, OR = 3.239, 95% confidence interval [CI]: 1.993-5.264, P < 0.001). Additionally, escalating CMI values corresponded to an increasing probability of new-onset diabetes in NAFLD subjects (OR = 1.705, 95% CI: 1.362-2.133, P < 0.001). Restricted cubic spline analysis demonstrated a non-linear connection between CMI and new-onset diabetes in NAFLD patients (P overall < 0.001, P non-linear = 0.035), with a risk inflection point identified at a CMI of 0.5554. Subgroup analysis revealed no significant interactions between gender, age, physical activity, alcohol consumption, or smoking status and the likelihood of new-onset diabetes in this patient population (P for interaction > 0.05).

CONCLUSION

Findings from this study indicate a notable positive non-linear connection between elevated CMI scores and the probability of new-onset diabetes in individuals afflicted with NAFLD.

CLINICAL TRIAL NUMBER

Not applicable.

Lipid metabolism indicators provide tools for the diagnosis of non-alcoholic fatty liver disease: results of a nationwide survey

Background

Cardiometabolic index (CMI), visceral adiposity index (VAI), and lipid accumulation product (LAP) are lipid-related parameters that reflect central obesity, which is closely associated with the development of non-alcoholic fatty liver disease (NAFLD). The aim of this study is to investigate the effectiveness of these lipid-related parameters in diagnosing NAFLD and to compare their predictive abilities.

Methods

This population-based study extracted datasets from the National Health and Nutrition Examination Survey (NHANES) 2017-2020. CMI, VAI, and LAP were included in the multivariate logistic model as both continuous and categorical variables to assess the relationship between different lipid-related parameters and NAFLD. To further elucidate this connection, we utilized restricted cubic splines and conducted subgroup analysis. Additionally, the receiver operating characteristics (ROC) curve was employed to evaluate the predictive effectiveness of CMI, VAI, and LAP for NAFLD.

Results

The study included 2,878 adults as the study population, of whom 1,263 participants were diagnosed with NAFLD. When lipid-related parameters were analyzed as continuous variables, they showed a positive correlation with NAFLD. The OR(95%CI) were 2.29(1.81,2.89) for CMI (per 1-unit), 1.40(1.28,1.52) for VAI (per 1-unit) and 1.15(1.11,1.20) for LAP (per 10-units). This correlation remains statistically significant when the lipid-related parameters are analyzed as categorical variables. In descending order of diagnostic capability for NAFLD, the AUC values are as follows: LAP (0.794), CMI (0.752), and VAI (0.719).

Conclusion

CMI, VAI, and LAP may be important clinical indicators for identifying NAFLD, with LAP demonstrating the best predictive ability among them.

Association between the triglyceride-glucose index and liver fibrosis in adults with metabolism-related fatty liver disease in the United States: a cross-sectional study of NHANES 2017-2020

OBJECTIVE

This study aimed to examine the association between the triglyceride-glucose (TyG) index and liver fibrosis (LF) in U.S. adults with Metabolic Dysfunction-Associated Steatotic Liver Disease (MAFLD).

METHODS

Using data from the 2017 to 2020 National Health and Nutrition Examination Survey (NHANES) database, we conducted a population-based cross-sectional study with 1,324 participants. MAFLD was defined as a controlled attenuation parameter (CAP) score ≥ 248 dB/m accompanied by metabolic dysfunction. A median liver stiffness measurement ≥ 8.2 kPa was used to identify significant fibrosis (≥ F2). Multivariable logistic regression was employed to assess the impact of the TyG index on LF outcomes. A restricted cubic spline (RCS) model was used to explore nonlinear effects, and receiver operating characteristic (ROC) curves were applied to evaluate the effectiveness in predicting.

RESULTS

Among the participants, 716 were men and 608 were women, aged 20 to 80 years, representing various racial groups. Significant fibrosis was observed in 137 out of 1,324 participants. After adjusting for confounding factors, a higher TyG index was significantly associated with an increased incidence of MAFLD-related LF (OR = 2.18, 95% CI, 1.14-4.18; p < 0.05). Elevated TyG levels showed a positive correlation with significant fibrosis, with an odds ratio (OR) exceeding 1 when the TyG index was above 8.054. Subgroup analyses stratified by sex, age, and body mass index (BMI) revealed differences after adjusting for confounders. The association was stronger in women (OR = 2.53, 95% CI, 1.16-5.53) than in men (OR = 1.95, 95% CI, 0.81-4.72). A significant correlation was also found between TyG levels and obesity status (overweight: OR = 4.80, 95% CI, 1.27-18.2; obese: OR = 2.26, 95% CI, 1.20-5.53). In MAFLD patients aged 40-59, TyG was strongly associated with LF (OR = 2.85, 95% CI, 1.16-6.79). Furthermore, the area under the ROC curve (AUC) for the TyG index in predicting significant fibrosis in MAFLD patients was 0.73 (95% CI, 0.68-0.78), indicating moderate predictive ability.

CONCLUSIONS

In the general U.S. population, elevated TyG index levels were positively associated with an increased risk of LF in MAFLD patients.

Negative correlation between cardiometabolic index and testosterone in male adults

Background

Insulin resistance (IR) is closely correlated with a deficiency or decrease of testosterone levels in males. Cardiometabolic index (CMI) is correlated with various diseases correlated with IR. The primary objective of this study is to explore the correlation between CMI and testosterone levels in male adults.

Methods

Data from the National Health and Nutrition Examination Survey (NHANES) during the period from 2013 to 2020 were analyzed through a cross-sectional design. CMI was calculated by multiplying waist-to-height ratio (WHtR) with the triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDL-C).

Results

A total of 5012 subjects were included in the final analysis. After controlling confounding variables, multiple linear regression analysis indicated an independent negative correlation between CMI and testosterone levels (β= -6.40, 95% CI: -8.95, -3.86, P<0.001) through the. In addition, a negative non-linear correlation was also found between CMI and testosterone (P<0.05), with CMI's inflection point as 0.73. Subgroup analyses indicated a more significant negative correlation among those with normal weight and the elderly (p< 0.05 for all interactions). The area under the ROC curve (AUC) of CMI (AUC =0.724, 95% CI: 0.709-0.740) was the largest compared with those of TG/HDL and WHtR.

Conclusion

Elevated CMI is significantly and negatively correlated with testosterone in male adults.

Associations of cardiometabolic index with diabetic statuses and insulin resistance: the mediating role of inflammation-related indicators

BACKGROUND

This study aimed to analyze the associations of cardiometabolic index (CMI) with diabetic statuses and insulin resistance (IR) using data from the National Health and Nutrition Examination Survey (NHANES) and examined the potential mediating role of inflammation in these correlations.

METHODS

This study enrolled 9477 participants across four NHANES cycles from 2011 to 2018. The primary outcomes of the study included the risk of having prediabetes, diabetes and the level of the homeostasis model assessment of IR (HOMA-IR). Other outcomes including the levels of fasting blood glucose (FBG), hemoglobin A1c (HbA1c), oral glucose tolerance test (OGTT) results, fasting insulin, the risk of oral hypoglycemic medicine use, insulin use, and retinopathy were also collected and analyzed. Logistic regression model, subgroup analysis, restricted cubic spine (RCS), and Pearson correlation coefficients were conducted to assess the associations of CMI with diabetic statuses and IR. The mediating role of inflammation was evaluated to investigate the potential mechanism of the associations between CMI and diabetic statuses.

RESULTS

Among included participants, the CMI levels in normal participants, prediabetes and diabetes in this study were 0.48, 0.73 and 1.07. After multivariable adjustment, CMI was positively associated with the risk of prediabetes (OR = 1.49, 95% CI = 1.24-1.79), diabetes (OR = 2.14, 95% CI = 1.82-2.50) and the level of HOMA-IR (β = 2.57, 95% CI = 2.14-3.01). Besides, an increased CMI was correlated with higher levels of FBG, HBA1c, OGTT results and fasting insulin as well as the greater risk of oral hypoglycemic medicine use and insulin use. The RCS showed an inverted L-shaped association of CMI with prediabetes and diabetes (P for non-linearity < 0.001). According to Pearson correlation coefficients, higher CMI was linked to higher rises in HOMA-IR (r = 0.224, P < 0.001). Inflammation-related indicators including leukocyte and neutrophil demonstrated significant mediating effects in the associations of CMI with prediabetes (15.5%, 9.8%), diabetes (5.1%, 6.0%) and HOMA-IR (3.3%, 2.6%).

CONCLUSION

CMI was positively associated with the risk of worse diabetic statuses and higher level of IR while the associations may be partially mediated by inflammation-related indicators, suggesting that CMI could be a promising indicator for the prediction of severe diabetes and IR.

Association between cardiometabolic Index (CMI) and endometriosis: a cross-sectional study on NHANES

BACKGROUND

Endometriosis is intricately linked to metabolic health. The Cardiometabolic Index (CMI), a novel and readily accessible indicator, is utilized to evaluate metabolic status. This study seeks to investigate the potential correlation between CMI and endometriosis.

METHODS

Data from four consecutive survey cycles of the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2006 were utilized. This included adult females with self-reported diagnoses of endometriosis and complete information required for calculating the CMI. The calculation formula for CMI is Triglycerides(TG) / High-density lipoprotein cholesterol (HDL-C) × WHtR (WHtR = waist circumference / height). A multivariable logistic regression model was employed to investigate the linear association between CMI and endometriosis. Subgroup analyses were performed to explore potential influencing factors. Additionally, the linear relationship was validated using restricted cubic spline (RCS) curve plotting and threshold effect analysis.

RESULTS

This study, based on the National Health and Nutrition Examination Survey (NHANES), included a cohort of 2,224 adult women. The multivariable logistic regression analysis demonstrated that in the fully adjusted model, individuals with the highest CMI exhibited a 78% elevated likelihood of endometriosis compared to those with the lowest CMI (OR = 1.78; 95% CI, 1.02-3.11, P < 0.05). The subgroup analysis indicated that there were no significant interactions between CMI and specific subgroups (all interaction P > 0.05), except for the subgroup stratified by stroke status (P < 0.05). Additionally, the association between CMI and endometriosis was linear, with a 20% increase in the association for each unit increase in CMI when CMI > 0.67 (OR = 1.20; 95% CI, 1.05-1.37, P < 0.01).

CONCLUSION

The study found that CMI levels are closely correlated with endometriosis, with this correlation increasing when the CMI exceeds 0.67. This finding implies that by regularly monitoring CMI levels, physicians may be able to screen women at risk for endometriosis at an earlier stage, thereby enabling the implementation of early interventions to slow the progression of the disease. To further validate these findings, larger-scale cohort studies are required to support the results of this research.

Association between cardiometabolic index and hepatic steatosis and liver fibrosis: a population-based study

BACKGROUND

The cardiometabolic index (CMI) is a new type of obesity index that is based on a combination of lipid levels and abdominal obesity indicators. It is closely correlated with the occurrence of diabetes mellitus, atherosclerosis, hypertension, and other diseases, thus playing an important role in the screening of metabolic diseases. This is coupled with hepatic steatosis and fibrosis which are characterized by excessive liver fat deposition. The aim of this study was to investigate the possible association between CMI and hepatic steatosis and liver fibrosis.

METHODS

A cross-sectional investigation was conducted using the 2017-2020 National Health and Nutrition Examination Survey (NHANES) dataset to probe the relationship between CMI and hepatic steatosis and liver fibrosis, while multiple linear regression models were used to test the linear association between CMI and controlled attenuation parameter (CAP) and liver stiffness measurement (LSM). Smooth-fit curves and threshold effects analysis were used to describe the nonlinear relationships. Subgroup analyses were performed according to gender, age, body mass index (BMI), hypertension, diabetes, cardiovascular disease, and smoking status.

RESULTS

A total of 3084 adults aged 18-80 years were included in this analysis, and after controlling for a variety of variables, there was a significant positive correlation between CMI and CAP [20.38 (16.27,24.49)]. When subgroups were analyzed, this positive correlation was found to be stronger in the female population than in the male (P for interaction = 0.0303). Furthermore, the association between CMI and CAP was nonlinear. Using multiple regression analysis, it was shown that the linear relationship between CMI and liver fibrosis was not significant [-0.09 (-0.47,0.29)].

CONCLUSIONS

The findings suggest that elevated CMI levels are associated with hepatic steatosis, but that CMI is not linked to liver fibrosis. Larger prospective investigations are needed to confirm our findings.

The relationship between cardiometabolic index and pulmonary function among U.S. adults: insights from the National Health and Nutrition Examination Survey (2007-2012)

BACKGROUND

Previous findings have revealed that disorders of lipid metabolism may be a risk factor for pulmonary function damage; however, the combined effect of dyslipidemia and central obesity on pulmonary function is unclear. The cardiometabolic index (CMI) is a composite of serum lipids (triglyceride (TG)/high-density lipoprotein cholesterol (HDL-C)) and visceral fat parameters (waist-to-height ratio (WHtR)). This research aimed to investigate the link between CMI and pulmonary function, employing large-scale demographic data sourced from the National Health and Nutrition Examination Survey (NHANES) database.

METHODS

This cross-sectional study used data involving 4125 adults aged 20 and above collected by NHANES between 2007 and 2012. We defined CMI as the exposure variable and measured outcomes using forced expiratory volume in one second (FEV1), forced vital capacity (FVC), and FEV1/FVC to evaluate pulmonary function. Weighted multiple linear regression models and subgroup analyses were employed to investigate separate relationships between CMI and pulmonary function. In addition, to investigate variations across different strata and evaluate the robustness of the findings, interaction tests and sensitivity analyses were conducted.

RESULTS

Results from the weighted multiple linear regression analysis indicated a unit increase in log2-CMI was associated with a reduction of 82.63 mL in FEV1 and 112.92 mL in FVC. The negative association remained significant after transforming log2-CMI by quartile (Q). When the log2-CMI level reached Q4, β coefficients (β) were -128.49 (95% CI: -205.85, -51.13), -169.01 (95% CI: -266.72, -71.30), respectively. According to the interaction test findings, the negative association linking log2-CMI with FEV1 and FVC persists regardless of confounding factors including age, gender, BMI, physical activity (PA), and smoking status. A subsequent sensitivity analysis provided additional confirmation of the stability and reliability of the results. For females, the inflection points for the nonlinear relationships between log2-CMI and FEV1, as well as log2-CMI and FVC, were identified at 2.33 and 2.11, respectively. While in males, a consistent negative association was observed.

CONCLUSIONS

Our findings suggest that higher CMI is associated with lower FEV1 and FVC. CMI may serve as a complementary consideration to the assessment and management of pulmonary function in clinical practice.

Is systemic inflammation a missing link between cardiometabolic index with mortality? Evidence from a large population-based study

BACKGROUND

This study sought to elucidate the associations of cardiometabolic index (CMI), as a metabolism-related index, with all-cause and cardiovascular mortality among the older population. Utilizing data from the National Health and Nutrition Examination Survey (NHANES), we further explored the potential mediating effect of inflammation within these associations.

METHODS

A cohort of 3029 participants aged over 65 years old, spanning six NHANES cycles from 2005 to 2016, was enrolled and assessed. The primary endpoints of the study included all-cause mortality and cardiovascular mortality utilizing data from National Center for Health Statistics (NCHS). Cox regression model and subgroup analysis were conducted to assess the associations of CMI with all-cause and cardiovascular mortality. The mediating effect of inflammation-related indicators including leukocyte, neutrophil, lymphocyte, systemic immune-inflammation index (SII), neutrophil to lymphocyte ratio (NLR) were evaluated to investigate the potential mechanism of the associations between CMI and mortality through mediation package in R 4.2.2.

RESULTS

The mean CMI among the enrolled participants was 0.74±0.66, with an average age of 73.28±5.50 years. After an average follow-up period of 89.20 months, there were 1,015 instances of all-cause deaths and 348 cardiovascular deaths documented. In the multivariable-adjusted model, CMI was positively related to all-cause mortality (Hazard Ratio (HR)=1.11, 95% CI=1.01-1.21). Mediation analysis indicated that leukocytes and neutrophils mediated 6.6% and 13.9% of the association of CMI with all-cause mortality.

CONCLUSION

Elevated CMI is positively associated with all-cause mortality in the older adults. The association appeared to be partially mediated through inflammatory pathways, indicating that CMI may serve as a valuable indicator for poor prognosis among the older population.

Association between the cardiometabolic index and NAFLD and fibrosis

Composed of obesity and lipid parameters, the cardiometabolic index (CMI) has emerged as a novel diagnostic tool. Originally developed for diabetes diagnosis, its application has expanded to identifying patients with cardiovascular diseases, such as atherosclerosis and hypertension. However, the relationship between CMI and non-alcoholic fatty liver disease (NAFLD) and liver fibrosis in the US population remains unclear. This cross-sectional study analyzed data from the National Health and Nutrition Examination Survey (NHANES) spanning 2017-2020, involving 2996 participants aged 20 years or older. Vibration controlled transient elastography using a FibroScan® system (model 502, V2 Touch) with controlled attenuation parameter measurements identified NAFLD at a threshold of ≥ 274 dB/m, while liver stiffness measurement (LSM) results (median, ≥ 8.2 kPa) indicated fibrosis. A multifactorial logistic regression model explored the relationship between CMI and NAFLD and fibrosis. The effectiveness of CMI in detecting NAFLD and liver fibrosis was assessed through receiver operating characteristic curve analysis. Controlling for potential confounders, CMI showed a significant positive association with NAFLD (adjusted OR = 1.44, 95% CI 1.44-1.45) and liver fibrosis (adjusted OR = 1.84, 95% CI 1.84-1.85). The Areas Under the Curve for predicting NAFLD and fibrosis were 0.762 (95% CI 0.745 ~ 0.779) and 0.664(95% CI 0.633 ~ 0.696), respectively, with optimal cut-off values of 0.462 and 0.527. There is a positive correlation between CMI and NAFLD and fibrosis, which is a suitable and simple predictor of NAFLD and fibrosis.

The Lipid Accumulation Product Index (LAP) and the Cardiometabolic Index (CMI) Are Useful for Predicting the Presence and Severity of Metabolic Syndrome in Adult Patients with Obesity

Background: The concomitant occurrence of obesity and metabolic syndrome (MetS) causes a significant worsening of a patient's clinical condition. Indexes that employ anthropometric measurements alone or associated with blood parameters have been investigated for their ability to identify MetS. This study aimed to evaluate the diagnostic accuracy of three of these indexes, the body adiposity index (BAI), the lipid accumulation product index (LAP), and the cardiometabolic index (CMI), in a cohort of 1912 adult subjects with obesity. Methods and Results: MetS was found in 62.3% of the enrolled subjects, with a higher prevalence in males (72.5%) than females (60.9%). Receiver operating characteristic (ROC) analysis was used to define which index performed better. The BAI was found to be the lowest-performing index, with an ROC area of 0.50, a sensitivity of 30.31%, a specificity of 74.48%, and a likelihood ratio of 1.19. On the contrary, the LAP and the CMI showed a comparable ROC area of 0.82. The LAP had a sensitivity of 63.06%, a specificity of 86.55%, and a likelihood ratio of 4.69, while the CMI had a sensitivity of 67.59%, specificity of 81.55%, and a likelihood ratio of 3.66. The analysis was also performed in the group divided into males and females, with overlapping results. Conclusions: The LAP and the CMI performed better than the BAI in detecting MetS both in the general population with obesity and in the male/female subgroups. In the future, it will be important to validate these useful diagnostic tools in order to employ them in clinical practices.

The association between healthy eating index-2015 with anthropometric, cardiometabolic and hepatic indices among patients with non-alcoholic fatty liver disease

BACKGROUND

Obesity, cardiovascular diseases, and metabolic disorders are common problems among participants with non-alcoholic fatty liver disease (NAFLD). However, the association between these problems and the healthy eating index-2015 (HEI-2015) remains unknown. Although the HEI-2015 originated from American dietary guidelines, its comprehensive evaluation of diet quality provides valuable insights for various populations, including Iranians. Therefore, the objective of this study was to investigate the association between anthropometric, hepatic, and cardio-metabolic indices with HEI-2015 scores in participants with NAFLD.

METHODS

We conducted a cross-sectional analysis of data from the Hoveyzeh Cohort Study, which included adults aged 35 to 70 years between 2016 and 2018. A total of 664 participant with NAFLD (452 females and 212 males) were included in the analysis. The HEI-2015 was assessed using the Food Frequency Questionnaire (FFQ). Various indices, including the body shape index (ABSI), atherogenic index of plasma (AIP), visceral adiposity index (VAI), lipid accumulation product (LAP), cardiometabolic index (CMI), lipoprotein combine index (LCI), AST/ALT ratio, ALD/NAFLD index, and hepatic steatosis index (HSI), were calculated.

RESULTS

No significant differences were observed in anthropometric, cardio-metabolic, and hepatic indices across the quartiles of HEI-2015. However, among participants with NAFLD, men had significantly higher AIP and LCI levels, while women had significantly higher BMI, ABSI, VAI, LAP, and CMI levels. Additionally, women with NAFLD exhibited higher AST/ALT and HSI levels but lower ALD/NAFLD levels compared to men with NAFLD. Linear regression analysis among men with NAFLD revealed a significant negative correlation between HEI-2015 score and HSI in both the unadjusted model (β=-0.131, SE = 0.058, p = 0.024) and the adjusted model for energy intake (β=-0.129, SE = 0.058, p = 0.028).

CONCLUSION

The present study demonstrated a correlation between lower HEI-2015 scores and an increased risk of steatosis in men with NAFLD. Moreover, our findings highlighted gender-related differences in NAFLD and cardio-metabolic disorders.

Association of adiposity indicators with cardiometabolic multimorbidity risk in hypertensive patients: a large cross-sectional study

Background

Cardiometabolic multimorbidity (CMM) has emerged as a prominent public health concern. Hypertensive patients are prone to develop comorbidities. Moreover, the accumulation of visceral adipose tissue is the main cause for the development of cardiometabolic diseases. The cardiometabolic index (CMI), lipid accumulation product (LAP), visceral adiposity index (VAI), and Chinese visceral adiposity index (CVAI) not only assess adipose tissue mass but also reflect adipose tissue dysfunction. So far, no study has been reported to evaluate the association of CMI, LAP, VAI, and CVAI with CMM risk in hypertensive patients. Therefore, this study aimed to assess the association between these adiposity indicators and the risk of CMM among Chinese hypertensive patients.

Methods

In this cross-sectional study, a total of 229,287 hypertensive patients aged 35 years and older were included from the National Basic Public Health Service Project. All participants underwent a face-to-face questionnaire survey, physical examination, and the collection of fasting venous blood samples. Multivariable logistic regression models were performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic curve was utilized to evaluate the identification ability for CMM.

Results

After adjusting for confounders, each 1-standard deviation increase in CMI, LAP, VAI, and CVAI was associated with a 14%, 8%, 12%, and 54% increased risk of CMM, respectively. When comparing the highest quartile of these indicators with the lowest quartile, individuals in the highest quartile of CMM, LAP, VAI, and CVAI had a 1.39-fold (95% CI 1.30, 1.48), 1.28-fold (95% CI 1.19, 1.37), 1.37-fold (95% CI 1.29, 1.46), and 2.56-fold (95% CI 2.34, 2.79) increased risk of CMM after adjusting for potential confounders. Notably, a nonlinear association was observed for CMI, LAP, and VAI with the risk of CMM (all P nonlinearity < 0.001). CVAI exhibited the highest area under the receiver operating characteristic curve (AUC) among all the included adiposity indices in this analysis.

Conclusion

This study indicated the significant positive association of CMI, LAP, VAI, and CVAI with the risk of CMM in hypertensive patients. Among these indicators, CVAI demonstrated the most robust performance in predicting CMM risk and may serve as a valuable tool for identifying CMM risk in Chinese hypertensive patients.

Association between cardiometabolic index and controlled attenuation parameter in U.S. adults with NAFLD: findings from NHANES (2017-2020)

BACKGROUND

Cardiometabolic index (CMI), a novel indicator that combines abdominal obesity and lipid levels, has been confirmed to correlate with non-alcoholic fatty liver disease (NAFLD). However, limited research has been conducted on the relationship between CMI and controlled attenuation parameter (CAP), a parameter measured by transient elastography and reflecting the extent of fat accumulation in the liver. The objective of our study was to investigate the relationship between the two variables.

METHODS

This was a cross-sectional study with a sample size of 1,759 U.S. adults with NAFLD sourced from the NHANES 2017-2020. Participants with a median CAP ≥ 248 dB/m were considered to have hepatic steatosis. CMI was calculated as [waist circumference (cm)/height(cm)]×[TG (mmol/L)/HDL-C (mmol/L)]. Multivariate linear regression, generalized additive model and subgroup analysis were employed to examine the association of CMI and CAP.

RESULTS

The average age of the 1,759 participants was 50.2 years, with males accounting for 50.76% and females 49.24%. The average BMI was 32.23 kg/m². The multivariate linear regression model indicated that with every 1-unit increase in CMI, there was an associated rise of 10.40 dB/m in CAP (95% CI, 7.14-13.67) after adjusting for covariates and a p for trend < 0.05 suggested the existence of a linear association between the two variables. Similarly, generalized additive model also found it a roughly linear relationship between the two. Subgroup analysis revealed a positive correlation in the majority of subgroups.

CONCLUSIONS

CMI was positively associated with CAP in U.S. adults with NAFLD. Our findings indicated that CMI may serve as an ideal indicator for monitoring the degree of hepatic steatosis among patients with NAFLD.

Relationship Between Cardiometabolic Index and Insulin Resistance in Patients with Type 2 Diabetes

Purpose

Cardiometabolic index (CMI) has been suggested as innovative measures for assessing the cardiometabolic status. However, there is a lack of relevant studies on exploring the relationship between CMI and insulin resistance (IR). Consequently, this study aims to examine the relationship between CMI and IR in subjects with type 2 diabetes mellitus (T2DM).

Patients and Methods

A cross-sectional study was performed on 2493 patients with T2DM (including 1505 males and 988 females). IR was measured through the homeostatic model assessment of insulin resistance (HOMA-IR), which was defined as HOMI-IR≥2.69. The relationship between CMI and IR was evaluated with Spearman's correlation, ROC analysis, multiple logistic regression, generalized smooth curve fitting and subgroup analysis.

Results

CMI was correlated with HOMA-IR in patients with T2DM (Spearman correlation coefficient = 0.391 in females and 0.346 in males, P<0.001). Through the multiple logistic regression analysis, CMI was significantly correlated with IR (OR=1.30, 95% CI=1.15-1.47 in males and OR=1.62, 95% CI=1.32-1.99 in females). In addition, a non-linear correlation between CMI and IR risk was identified. The AUC of CMI (AUC = 0.702 for males and 0.733 for females, all p < 0.01) was the largest compared with traditional indexes of adiposity and blood lipids. According to the subgroup analysis, the two had a more significantly positive correlation in females, the elderly and subjects with HbA1c < 7%.

Conclusion

In patients with T2DM, elevated CMI is significantly correlated with IR, as a useful index of IR.

Evaluation of the frequency of metabolic syndrome and assessment of cardiometabolic index among men with erectile dysfunction: a prospective cross-sectional study

Purpose

Recently, an association has been observed between metabolic syndrome and erectile dysfunction (ED). This study aimed to evaluate the cardiometabolic index (CMI) in patients with ED.

Methods

This cross-sectional study was performed on 144 patients with ED who were referred to a urology clinic in Rasht, Iran, from 2019 to 2021. Metabolic syndrome was evaluated according to National Cholesterol Education Program Expert Panel (NCEP) and Adult Treatment Panel III (ATP III) criteria which are considered three positive criteria from five. Also, the ED severity was classified as weak, moderate, and severe based on the five-item International Index of Erectile Function (IIEF5) questionnaire.

Results

The mean age of participants was 53.46 ± 10.58 years. 56.9% had abdominal obesity, 48.6% had hypertriglyceridemia, 34.7% had low HDL-C, 55.6% had hypertension and 56.9% had elevated fasting blood sugar (FBS). 43.8% had diabetes and 13.2% had cardiovascular disease. The mean CMI was 2.51 ± 1.57. The prevalence of metabolic syndrome was 50.7%. Body mass index (BMI) was significantly associated with metabolic syndrome and CMI (P = 0.001). The severity of ED had a significant relationship with high FBS in patients. CMI and components of abdominal obesity, hypertriglyceridemia, and low HDL-C had no statistically significant relationship with ED. However, the incidence of moderate and severe ED increased with increasing the number of metabolic syndrome components.

Conclusion

ED is not significantly associated with metabolic syndrome and CMI, however, the severity of this disorder increases with increasing the number of components of metabolic syndrome.

Sex-Specific Contribution of Cardiometabolic Index in Predicting Metabolic Dysfunction-Associated Fatty Liver Disease: Insights from a General Population

Background and Objective

Evidence suggests that cardiometabolic index (CMI) has been identified as a novel obesity-related index associated with diabetes, hypertension, and cardiovascular disease. Current evidence suggests that the differences in sex hormones and regional fat distribution in both sexes are directly correlated with metabolic dysfunction-associated fatty liver disease (MAFLD) risk. This study aimed to investigate the diagnostic value of CMI in MAFLD in both sexes.

Methods

This retrospective study included 6107 subjects who underwent annual health check-ups from March 2021 to January 2022. CMI was calculated by multiplying the ratio of triglycerides and high-density lipoprotein cholesterol (TG/HDL-C) by waist-to-height ratio (WHtR). Multivariable logistic regression analysis and restricted cubic spline were used to investigate the association of CMI and MAFLD risk. Receiver operating characteristic curve analysis was conducted for the exploration of the diagnostic accuracies of obesity-related indicators. Areas under the curves (AUCs) with 95% CIs were calculated.

Results

Prevalence of MAFLD increased with elevated quartiles of CMI in both sexes. The median (IQR) age was 46.00 (18.00) years. Multivariate logistic regression analyses showed that higher CMI was independently associated with MAFLD, in which every additional standard deviation (SD) of CMI increased the risk of MAFLD (OR=2.72, 95% CI:2.35-3.15 for males; OR=3.26, 95% CI:2.36-4.51 for females). Subjects in the fourth quartile of CMI had the highest odds of MAFLD for males (OR=15.82, 95% CI:11.84-21.14) and females (OR=22.60, 95% CI:9.52-53.65)(all P for trend<0.001). Besides, CMI had a non-linearity association with MAFLD (all P for non-linearity<0.001). Furthermore, CMI exhibited the largest AUC compared to other obesity-related indexes in terms of discriminating MAFLD in males (AUC=0.796, 95% CI:0.782-0.810) and females (AUC=0.853, 95% CI:0.834-0.872).

Conclusion

CMI was a convenient indicator for the screening of MAFLD among Chinese adults. Females with high CMI had a better diagnostic value for MAFLD than males.

Dietary Intervention on Overweight and Obesity after Confinement by COVID-19

BACKGROUND

Obesity has become a public health problem in our society and is associated with many diseases, including type 2 diabetes mellitus, cardiovascular diseases, dyslipidemia, respiratory diseases, and cancer. Several studies relate weight loss in obese patients to improved anthropometric measurements and cardiometabolic risk. The objective of our study was to evaluate anthropometric changes, analytical parameters, insulin resistance, fatty liver, and metabolic scales, after a personalized weight loss program, through dietary advice to increase adherence to the Mediterranean diet and a motivational booster via mobile SMS messaging.

METHODS

Intervention study on a sample of 1964 workers, in which different anthropometric parameters were evaluated before and after dietary intervention: the metabolic score of insulin resistance; non-alcoholic fatty liver disease using different scales; metabolic syndrome; atherogenic dyslipidemia; and the cardiometabolic index. A descriptive analysis of the categorical variables was performed, by calculating the frequency and distribution of the responses for each one. For quantitative variables, the mean and standard deviation were calculated, since they followed a normal distribution. Bivariate association analysis was performed by applying the chi-squared test (corrected by Fisher's exact statistic when conditions required it) and Student's t-test for independent samples (for comparison of means).

RESULTS

The population subjected to the Mediterranean diet improved in all the variables evaluated at 12 months of follow-up and compliance with the diet.

CONCLUSIONS

Dietary advice on a Mediterranean diet and its reinforcement with reminder messages through the use of mobile phones may be useful to improve the parameters evaluated in this study and reduce the cardiometabolic risk of patients.

Cardiometabolic index: A new predictor for metabolic associated fatty liver disease in Chinese adults

OBJECTIVE

Cardiometabolic index (CMI) is a well promising indicator for predicting obesity-related diseases, but its predictive value for metabolic associated fatty liver disease (MAFLD) is unclear. This study aimed to investigate the relationship between CMI and MAFLD and to evaluate the predictive value of CMI for MAFLD.

METHODS

A total of 943 subjects were enrolled in this cross-sectional study. CMI was calculated by multiplying the ratio of triglycerides and high-density lipoprotein cholesterol (TG/HDL-C) by waist-to-height ratio (WHtR). Multivariate logistic regression analysis was used to systematically evaluate the relationship between CMI and MAFLD. Receiver operating characteristic (ROC) curves were used to assess the predictive power of CMI for MAFLD and to determine the optimal cutoff value. The diagnostic performance of high CMI for MAFLD was validated in 131 subjects with magnetic resonance imaging diagnosis.

RESULTS

Subjects with higher CMI exhibited a significantly increased risk of MAFLD. The odds ratio for a 1-standard-deviation increase in CMI was 3.180 (2.102-4.809) after adjusting for various confounding factors. Further subgroup analysis showed that there were significant additive interactions between CMI and MAFLD risk in gender, age, and BMI (P for interaction < 0.05), and the area under the ROC curve(AUC) of CMI for predicting MAFLD were significantly higher in female, young, and nonobese subgroups than that in male, middle-aged and elderly, and obese subgroups (all P < 0.05). Moreover, among nonobese subjects, the AUC of CMI was significantly higher than that of waist circumference, BMI, TG/HDL-C, and TG (all P < 0.05). The best cutoff values of CMI to diagnose MAFLD in males and females were 0.6085 and 0.4319, respectively, and the accuracy, sensitivity, and specificity of high CMI for diagnosing MAFLD in the validation set were 85.5%, 87.5%, and 80%, respectively.

CONCLUSIONS

CMI was strongly and positively associated with the risk of MAFLD and can be a reference predictor for MAFLD. High CMI had excellent diagnostic performance for MALFD, which can enable important clinical value for early identification and screening of MAFLD.

Associations of the Cardiometabolic Index with the Risk of Cardiovascular Disease in Patients with Hypertension and Obstructive Sleep Apnea: Results of a Longitudinal Cohort Study

Purpose

We aimed to explore the relationship between the cardiometabolic index (CMI) and cardiovascular disease (CVD) and its subtypes (coronary artery disease and stroke) in patients with hypertension and obstructive sleep apnea (OSA).

Methods

We conducted a retrospective cohort study enrolling 2067 participants from the Urumqi Research on Sleep Apnea and Hypertension study. The CMI was calculated as triglyceride to high‐density lipoprotein cholesterol ratio × waist‐to‐height ratio. Participants were divided into three groups (T1, T2, and T3) according to the tertile of CMI. The Kaplan-Meier method helped to calculate the cumulative incidence of CVD in different groups. We assessed the association of CMI with the risk of CVD and CVD subtypes by estimating hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox models.

Results

During a median follow-up of 6.83 years (interquartile range: 5.92-8.00 years), 326 incident CVD were identified, including 121 incident stroke and 205 incident coronary heart disease (CHD). Overall, after adjusting for confounding variables, CMI was positively associated with the risk of new-onset CVD (per SD increment, adjusted HR: 1.31; 95% CI: 1.20, 1.43), new-onset CHD (per SD increment, adjusted HR: 1.33; 95% CI: 1.20, 1.48), and new-onset stroke (per SD increment, adjusted HR: 1.27; 95% CI: 1.10, 1.47). Similar results were obtained in various subgroup and sensitivity analyses. Adding CMI to the baseline risk model for CVD improved the C-index (P < 0.001), continuous net reclassification improvement (P < 0.001), and integrated discrimination index (P < 0.001). Similar results were observed for CHD and stroke.

Conclusion

There was a positive association between CMI levels and the risk of new-onset CVD in patients with hypertension and OSA. This finding suggests that CMI may help identify people at high risk of developing CVD.