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Postconditioning with Lactate-enriched Blood for Cardioprotection in ST-segment Elevation Myocardial Infarction
Published on: May 28, 2019
The C-reactive protein-triglyceride-glucose index predicts new-onset atrial fibrillation after ST-segment elevation
Bowen Qiu1, Shuzhao Xia2, Caixia Liu3
1Department of Cardiology, The Qingdao Eighth People's Hospital, Qingdao, China.
Insights
The C-reactive protein-triglyceride-glucose index (CTI) effectively predicts new-onset atrial fibrillation (NOAF) after primary percutaneous coronary intervention (PCI) in ST-elevation myocardial infarction (STEMI) patients. CTI demonstrates superior predictive value compared to hs-CRP or TyG index alone for NOAF risk stratification.
Area of Science:
- Cardiology
- Biomarker Research
- Interventional Cardiology
Background:
- New-onset atrial fibrillation (NOAF) is a frequent complication post-primary percutaneous coronary intervention (PCI) for ST-elevation myocardial infarction (STEMI), increasing major adverse cardiovascular events (MACE).
- The C-reactive protein-triglyceride-glucose index (CTI), a composite biomarker, integrates inflammatory (hs-CRP) and metabolic (TyG index) markers.
- The predictive utility of CTI for NOAF in STEMI patients undergoing primary PCI remains unexamined.
Purpose of the Study:
- To investigate the C-reactive protein-triglyceride-glucose index (CTI) as a predictor of new-onset atrial fibrillation (NOAF) in ST-elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PCI).
- To compare the predictive performance of CTI against individual components like high-sensitivity C-reactive protein (hs-CRP) and the triglyceride-glucose (TyG) index for NOAF post-PCI.
Main Methods:
- Retrospective analysis of 696 STEMI patients undergoing primary PCI.
- Calculation of CTI and TyG index using patient clinical data.
- Multivariate logistic regression and Receiver Operating Characteristic (ROC) analysis to assess CTI's association and predictive value for NOAF within 30 days post-PCI.
Main Results:
- New-onset atrial fibrillation (NOAF) developed in 8.9% of patients.
- Multivariate analysis identified CTI, age, LVEF, and IRA-RCA as independent predictors of NOAF.
- CTI showed superior discriminative power for NOAF (AUC=0.741) compared to TyG index (AUC=0.686) and hs-CRP (AUC=0.664).
- Combination of CTI with clinical indicators improved NOAF risk stratification (AUC=0.795).
Conclusions:
- The C-reactive protein-triglyceride-glucose index (CTI) is an independent predictor of new-onset atrial fibrillation (NOAF) following primary PCI in STEMI patients.
- CTI offers superior predictive value for NOAF compared to hs-CRP or TyG index alone.
- CTI serves as a valuable clinical tool for risk stratification of NOAF in this patient cohort.
Background:
New-onset atrial fibrillation (NOAF) is a common complication following primary percutaneous coronary intervention (PCI) for ST-segment elevation myocardial infarction (STEMI), with a reported incidence of 6.3%-8.0%. It represents a significant risk factor for major adverse cardiovascular events (MACE) in this patient population. The C-reactive protein-triglyceride-glucose index (CTI), a composite biomarker reflecting both inflammatory (via high-sensitivity C-reactive protein, hs-CRP) and metabolic (via the triglyceride-glucose index, TyG index) pathways, has demonstrated prognostic potential for predicting MACE and mortality. Nevertheless, its specific utility in predicting NOAF among STEMI patients undergoing primary PCI has not been investigated.
Methods:
This retrospective study included 696 patients (mean age 63.9 ± 12.97 years) diagnosed with acute ST-elevation myocardial infarction. Clinical data were collected to calculate the TyG index = ln[TG(mg/dL) × FBG(mg/dL)/2] and the CTI = 0.412 × [CRP(mg/L)] + ln[(TG(mg/dL) × FBG(mg/dL))/2]. NOAF was defined as atrial fibrillation occurring for the first time within 30 days after primary PCI. Multivariate logistic regression was used to assess the association between CTI and NOAF. Receiver operating characteristic (ROC) analysis was used to evaluate the predictive value of the CTI, the TyG index and high-sensitivity hs-CRP, with area under the curve (AUC) differences being determined via DeLong's test.
Results:
Of 696 initially screened participants, 62 (8.9%) developed NOAF. Multivariate analysis (stepwise forward method) confirmed CTI, Age, LVEF, and IRA-RCA as independent predictors of post-primary PCI NOAF. In ROC analysis, the CTI demonstrated superior discriminative power for NOAF with an AUC of 0.741, compared to the TyG index (AUC = 0.686) and hs-CRP (AUC = 0.664), and the Delong test confirmed that these differences were statistically significant. Combining CTI with conventional clinical indicators further improved NOAF risk stratification (AUC = 0.795).
Conclusions:
CTI is an independent risk factor for post-primary PCI NOAF in STEMI patients. It exhibits superior predictive value for NOAF compared to hs-CRP or TyG index alone, making it a clinically useful tool for risk stratification in this patient population.
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