Prognostic Value of Insulin Resistance Assessed by HOMA-IR in Non-Diabetic Patients with Decompensated Heart Failure

Costa, Yanina Castillo; Mauro, Víctor M.; Fairman, Enrique; Charask, Adrián; Olguín, Lisandro; Cáceres, Leonardo; Barrero, Carlos

doi:10.1016/j.cpcardiol.2022.101112

Cited by 10 publications

(8 citation statements)

References 22 publications

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“…Insulin resistance is one of the most widespread metabolic syndromes prevailing in the world and deeply threatening human health due to multiple complications, including hyperlipidemia, high blood pressure, and fatty liver, and cardiovascular and nervous system diseases. 1,2 Several studies involving animal models of insulin resistance have demonstrated that some dietary compounds, such as n-3 polyunsaturated fatty acids, are effective in improving insulin sensitivity in obese individuals. 3,4 The key link between dietary patterns and insulin sensitivity is considered to be the gut microbiota.…”

Section: Introductionmentioning

confidence: 99%

Orally administered octacosanol improves liver insulin resistance in high-fat diet-fed mice through the reconstruction of the gut microbiota structure and inhibition of the TLR4/NF-κB inflammatory pathway

et al. 2023

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Section: Introductionmentioning

confidence: 99%

Orally administered octacosanol improves liver insulin resistance in high-fat diet-fed mice through the reconstruction of the gut microbiota structure and inhibition of the TLR4/NF-κB inflammatory pathway

et al. 2023

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“…In light of this, early diagnosis and timely intervention hold immense signi cance for individuals at a heightened risk of heart failure with T 2 DM. Furthermore, clinical studies have substantiated a strong association between insulin resistance and heart failure [22]. The ndings of a prospective study spanning 20 years demonstrate a signi cant association between insulin resistance and left ventricular systolic dysfunction [23].…”

Section: Discussionmentioning

confidence: 97%

Combined with the insulin resistance index in assessing subclinical systolic function in newly diagnosed type 2 diabetes mellitus:An analysis based on automated functional imaging echocardiography

Li,

Chen,

Cao

et al. 2024

Preprint

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Background: In recent years, simpler and more practical indicators based on routine biochemical tests or anthropometric measurements have been widely utilized for the assessment of insulin sensitivity. However, limited research has been conducted to investigate the predictive value of these novel simplified measures in relation to subclinical left ventricular systolic dysfunction. Methods: A total of 160 newly diagnosed patients with type 2 diabetes mellitus (T2DM) and 70 healthy subjects matched by age and sex were included in the study. Left ventricular function parameters were assessed using AFI echocardiography. Four indicators of insulin resistance (IR) were computed: Triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-c), the product of fasting triglycerides and glucose levels(TyG), TyG multiplied by the body mass index(TyG-BMI)and the Insulin resistance metabolic score(METS-IR). The binary logistic regression analysis identified clinical and ultrasonic risk factors associated with abnormal GLPS-AVG in patients with T2DM. Develop a multiple-index-based log P model for integrated application. The diagnostic efficacy of the log P model in predicting left ventricular systolic function impairment was assessed using ROC analysis. Results: Competing risk regression revealed that BMI, IVSD, SBP and LA were significant risk factors for the reduction of GLPS-AVG in individuals with T2DM. Additionally, two IR index models were found to be closely associated with abnormal GLPS-AVG: TyG-BMI (6.227,p=0.000); METS-IR(7.436,p=0.000). ROC analysis results indicate that TyG-BMI, METS-IR, IVSD, SBP, LA and a combination of five other indexes have demonstrated certain efficacy in predicting and evaluating diabetic heart function reduction. Its ROC-AUC (0.95CI) are 0.750 (0.564 ~ 0.934), 0.774 (0.582 ~ 0.944), 0.702 (0.461 ~ 0.948), 0.737 (0.478 ~ 0.983), 0.726 (0.483 ~ 0.951), 0.878 (0.770 ~ 0.987) respectively. Conclusion: Approximately 20% of newly diagnosed patients with T2DM exhibit early-stage left ventricular systolic dysfunction.The Log P model exhibited the highest predictive efficiency when applied in combination, with significantly higher sensitivity, specificity and accuracy than each individual application.

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“…In light of this, early diagnosis and timely intervention hold immense signi cance for individuals at a heightened risk of heart failure with T 2 DM. Furthermore, clinical studies have substantiated a strong association between insulin resistance and heart failure [23]. The ndings of a prospective study spanning 20 years demonstrate a signi cant association between insulin resistance and left ventricular systolic dysfunction [24].…”

Section: Discussionmentioning

confidence: 97%

Correlation analysis and predictive value of insulin resistance index on heart function in newly diagnosed Type 2 diabetes mellitus patients

Li,

Chen,

Cao

et al. 2023

Preprint

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Background In recent years, simpler and more practical indicators based on routine biochemical tests or anthropometric measurements have been widely utilized for the assessment of insulin sensitivity. However, limited research has been conducted to investigate the predictive value of these novel simplified measures in relation to subclinical left ventricular systolic dysfunction.Methods A total of 160 newly diagnosed patients with type 2 diabetes mellitus (T2DM) and 70 healthy subjects matched by age and sex were included in the study. Left ventricular function parameters were assessed using AFI echocardiography. Four indicators of insulin resistance (IR) were computed: Triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-c), the product of fasting triglycerides and glucose levels(TyG), TYG multiplied by the body mass index(TyG-BMI)and the Insulin resistance metabolic score(METS-IR). The binary logistic regression analysis identified clinical and ultrasonic risk factors associated with abnormal GLPS-AVG in patients with T2DM. Develop a multiple-index-based log P model for integrated application. The diagnostic efficacy of the log P model in predicting left ventricular systolic function impairment was assessed using ROC analysis.Results Competing risk regression revealed that BMI, IVSD, SPB, LA and LVPWD were significant risk factors for the reduction of GLPS-AVG in individuals with T2DM. Additionally, two IR index models were found to be closely associated with abnormal GLPS-AVG: TyG-BMI (6.227,p = 0.000); METS-IR(7.436,p = 0.000). ROC analysis results indicate that TyG-BMI, METS-IR, IVSD, SBP, LA and a combination of five other indexes have demonstrated certain efficacy in predicting and evaluating diabetic heart function reduction. Its ROC-AUC (0.95CI) are 0.750 (0.564 ~ 0.934), 0.774 (0.582 ~ 0.944), 0.702 (0.461 ~ 0.948), 0.737 (0.478 ~ 0.983), 0.726 (0.483 ~ 0.951), 0.878 (0.770 ~ 0.987) respectively.Conclusion Approximately 20% of newly diagnosed patients with T2DM exhibit early-stage left ventricular systolic dysfunction.The Log P model exhibited the highest predictive efficiency when applied in combination, with significantly higher sensitivity, specificity and accuracy than each individual application.

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Prognostic Value of Insulin Resistance Assessed by HOMA-IR in Non-Diabetic Patients with Decompensated Heart Failure

Cited by 10 publications

References 22 publications

Orally administered octacosanol improves liver insulin resistance in high-fat diet-fed mice through the reconstruction of the gut microbiota structure and inhibition of the TLR4/NF-κB inflammatory pathway

Orally administered octacosanol improves liver insulin resistance in high-fat diet-fed mice through the reconstruction of the gut microbiota structure and inhibition of the TLR4/NF-κB inflammatory pathway

Combined with the insulin resistance index in assessing subclinical systolic function in newly diagnosed type 2 diabetes mellitus:An analysis based on automated functional imaging echocardiography

Correlation analysis and predictive value of insulin resistance index on heart function in newly diagnosed Type 2 diabetes mellitus patients

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