Baseline triglyceride-glucose, body mass index, end-diastolic internal diameter of the left atria and creatinine are independent predictors for pulmonary hypertension in coronary artery disease patients after percutaneous coronary intervention treatments
To identify the predictive role of triglyceride-glucose (TyG) index in pulmonary hypertension (PH) in coronary artery disease (CAD) patients after percutaneous coronary intervention (PCI) treatment. Blood biomarkers have been measured at the cross-section of entrance. The baseline and followed-up ec...
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| Published in | Biomarkers in medicine Vol. 18; no. 23; pp. 1049 - 1059 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
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Taylor & Francis
2024
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| Abstract | To identify the predictive role of triglyceride-glucose (TyG) index in pulmonary hypertension (PH) in coronary artery disease (CAD) patients after percutaneous coronary intervention (PCI) treatment.
Blood biomarkers have been measured at the cross-section of entrance. The baseline and followed-up echocardiography have been performed at both cross-sections.
The incidence of PH was 8.91%. The baseline myoglobin (MYO), was significantly higher among PH patients (
< 0.001). In the univariate regression, body mass index (BMI
= 0.020), left atria end-diastolic internal diameter (LAD,
= 0.083), creatinine (Cr,
= 0.005), triglyceride (TG,
< 0.001), high-density lipoprotein cholesterol (HDL-C,
= 0.056) and TyG index (
= 0.002) were potential predictors for PH. Finally, the adjusted COX regression indicated that BMI (
= 0.001), LAD (
= 0.030), Cr(
= 0.005) and TyG index (
= 0.002) were independent predictors of the onset of PH.
Baseline TyG index, BMI, LAD, Cr level were independent predictors for PH in CAD patients after PCI treatment. |
|---|---|
| AbstractList | Aim: To identify the predictive role of triglyceride-glucose (TyG) index in pulmonary hypertension (PH) in coronary artery disease (CAD) patients after percutaneous coronary intervention (PCI) treatment.Methods: Blood biomarkers have been measured at the cross-section of entrance. The baseline and followed-up echocardiography have been performed at both cross-sections.Results: The incidence of PH was 8.91%. The baseline myoglobin (MYO), was significantly higher among PH patients (p < 0.001). In the univariate regression, body mass index (BMI p = 0.020), left atria end-diastolic internal diameter (LAD, p = 0.083), creatinine (Cr, p = 0.005), triglyceride (TG, p < 0.001), high-density lipoprotein cholesterol (HDL-C, p = 0.056) and TyG index (p = 0.002) were potential predictors for PH. Finally, the adjusted COX regression indicated that BMI (p = 0.001), LAD (p = 0.030), Cr(p = 0.005) and TyG index (p = 0.002) were independent predictors of the onset of PH.Conclusion: Baseline TyG index, BMI, LAD, Cr level were independent predictors for PH in CAD patients after PCI treatment.Aim: To identify the predictive role of triglyceride-glucose (TyG) index in pulmonary hypertension (PH) in coronary artery disease (CAD) patients after percutaneous coronary intervention (PCI) treatment.Methods: Blood biomarkers have been measured at the cross-section of entrance. The baseline and followed-up echocardiography have been performed at both cross-sections.Results: The incidence of PH was 8.91%. The baseline myoglobin (MYO), was significantly higher among PH patients (p < 0.001). In the univariate regression, body mass index (BMI p = 0.020), left atria end-diastolic internal diameter (LAD, p = 0.083), creatinine (Cr, p = 0.005), triglyceride (TG, p < 0.001), high-density lipoprotein cholesterol (HDL-C, p = 0.056) and TyG index (p = 0.002) were potential predictors for PH. Finally, the adjusted COX regression indicated that BMI (p = 0.001), LAD (p = 0.030), Cr(p = 0.005) and TyG index (p = 0.002) were independent predictors of the onset of PH.Conclusion: Baseline TyG index, BMI, LAD, Cr level were independent predictors for PH in CAD patients after PCI treatment. To identify the predictive role of triglyceride-glucose (TyG) index in pulmonary hypertension (PH) in coronary artery disease (CAD) patients after percutaneous coronary intervention (PCI) treatment. Blood biomarkers have been measured at the cross-section of entrance. The baseline and followed-up echocardiography have been performed at both cross-sections. The incidence of PH was 8.91%. The baseline myoglobin (MYO), was significantly higher among PH patients ( < 0.001). In the univariate regression, body mass index (BMI = 0.020), left atria end-diastolic internal diameter (LAD, = 0.083), creatinine (Cr, = 0.005), triglyceride (TG, < 0.001), high-density lipoprotein cholesterol (HDL-C, = 0.056) and TyG index ( = 0.002) were potential predictors for PH. Finally, the adjusted COX regression indicated that BMI ( = 0.001), LAD ( = 0.030), Cr( = 0.005) and TyG index ( = 0.002) were independent predictors of the onset of PH. Baseline TyG index, BMI, LAD, Cr level were independent predictors for PH in CAD patients after PCI treatment. Aim: To identify the predictive role of triglyceride-glucose (TyG) index in pulmonary hypertension (PH) in coronary artery disease (CAD) patients after percutaneous coronary intervention (PCI) treatment. Methods: Blood biomarkers have been measured at the cross-section of entrance. The baseline and followed-up echocardiography have been performed at both cross-sections. Results: The incidence of PH was 8.91%. The baseline myoglobin (MYO), was significantly higher among PH patients ( p < 0.001). In the univariate regression, body mass index (BMI p = 0.020), left atria end-diastolic internal diameter (LAD, p = 0.083), creatinine (Cr, p = 0.005), triglyceride (TG, p < 0.001), high-density lipoprotein cholesterol (HDL-C, p = 0.056) and TyG index ( p = 0.002) were potential predictors for PH. Finally, the adjusted COX regression indicated that BMI ( p = 0.001), LAD ( p = 0.030), Cr( p = 0.005) and TyG index ( p = 0.002) were independent predictors of the onset of PH. Conclusion: Baseline TyG index, BMI, LAD, Cr level were independent predictors for PH in CAD patients after PCI treatment. |
| Author | Chen, Jianfei Xie, Li Ran, Litong Fu, Shilin Xu, Yuzheng Qian, Dehui Rao, Rongsheng Bian, Shi-Zhu Luo, Jing |
| Author_xml | – sequence: 1 givenname: Li surname: Xie fullname: Xie, Li organization: Institute of Cardiovascular Diseases of PLA, Department of Cardiology, Xinqiao Hospital, Army Medical University (Third Military Medical University) – sequence: 2 givenname: Shilin surname: Fu fullname: Fu, Shilin organization: Institute of Cardiovascular Diseases of PLA, Department of Cardiology, Xinqiao Hospital, Army Medical University (Third Military Medical University) – sequence: 3 givenname: Yuzheng surname: Xu fullname: Xu, Yuzheng organization: Institute of Cardiovascular Diseases of PLA, Department of Cardiology, Xinqiao Hospital, Army Medical University (Third Military Medical University) – sequence: 4 givenname: Litong surname: Ran fullname: Ran, Litong organization: Institute of Cardiovascular Diseases of PLA, Department of Cardiology, Xinqiao Hospital, Army Medical University (Third Military Medical University) – sequence: 5 givenname: Jing surname: Luo fullname: Luo, Jing organization: Institute of Cardiovascular Diseases of PLA, Department of Cardiology, Xinqiao Hospital, Army Medical University (Third Military Medical University) – sequence: 6 givenname: Rongsheng surname: Rao fullname: Rao, Rongsheng organization: Department of Ultrasonography, Xinqiao Hospital, Army Medical University (Third Military Medical University) – sequence: 7 givenname: Jianfei surname: Chen fullname: Chen, Jianfei organization: Institute of Cardiovascular Diseases of PLA, Department of Cardiology, Xinqiao Hospital, Army Medical University (Third Military Medical University) – sequence: 8 givenname: Shi-Zhu orcidid: 0000-0002-0541-0581 surname: Bian fullname: Bian, Shi-Zhu organization: Institute of Cardiovascular Diseases of PLA, Department of Cardiology, Xinqiao Hospital, Army Medical University (Third Military Medical University) – sequence: 9 givenname: Dehui surname: Qian fullname: Qian, Dehui organization: Institute of Cardiovascular Diseases of PLA, Department of Cardiology, Xinqiao Hospital, Army Medical University (Third Military Medical University) |
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| Keywords | coronary artery disease percutaneous coronary intervention pulmonary hypertension TyG index echocardiography |
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| Snippet | To identify the predictive role of triglyceride-glucose (TyG) index in pulmonary hypertension (PH) in coronary artery disease (CAD) patients after percutaneous... Aim: To identify the predictive role of triglyceride-glucose (TyG) index in pulmonary hypertension (PH) in coronary artery disease (CAD) patients after... Aim: To identify the predictive role of triglyceride-glucose (TyG) index in pulmonary hypertension (PH) in coronary artery disease (CAD) patients after... |
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| SubjectTerms | Aged Biomarkers - blood Blood Glucose - analysis Blood Glucose - metabolism Body Mass Index Coronary Artery Disease - blood Coronary Artery Disease - surgery Creatinine - blood Echocardiography Female Heart Atria - diagnostic imaging Heart Atria - pathology Heart Atria - physiopathology Humans Hypertension, Pulmonary - blood Hypertension, Pulmonary - etiology Male Middle Aged Percutaneous Coronary Intervention - adverse effects Triglycerides - blood |
| Title | Baseline triglyceride-glucose, body mass index, end-diastolic internal diameter of the left atria and creatinine are independent predictors for pulmonary hypertension in coronary artery disease patients after percutaneous coronary intervention treatments |
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