PloS one · 2026
The triglyceride-glucose index and neutrophil-to-lymphocyte ratio jointly predict the no-reflow phenomenon in T2DM patients with STEMI after primary PCI.
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Yang Jingyan, Xu Dongling, Liu Xiaobo, Zhao Zixiong, Zhang Juan
Аннотация
BACKGROUND: Patients suffering from ST-segment elevation myocardial infarction (STEMI) and type 2 diabetes mellitus (T2DM) face an elevated risk of the no-reflow phenomenon even after successful primary percutaneous coronary intervention (PPCI). This study aimed to develop an integrated predictive model combining the triglyceride-glucose (TyG) index and the neutrophil-to-lymphocyte ratio (NLR) for no-reflow in this high-risk population.
METHODS: A retrospective cohort of 524 patients with T2DM and STEMI undergoing PPCI was analyzed. No-reflow was defined as post-procedural TIMI flow grade ≤2. Multivariable logistic regression and receiver operating characteristic (ROC) curve analyses were employed.
RESULTS: The incidence of no-reflow was 8.97% (47/524). Both TyG index (adjusted odds ratio [aOR] 2.98) and NLR (aOR 1.23) were identified as independent predictors. Patients were stratified into four groups based on the optimal cut-offs for NLR (2.831) and TyG (9.347). The group with high levels of both markers had a substantially higher no-reflow incidence (23.21%) compared to the low-risk group (1.49%). The combined model (TyG + NLR) demonstrated superior predictive performance (AUC 0.785) over models containing either marker alone or baseline clinical factors.
CONCLUSION: The combination of TyG index and NLR effectively stratifies the risk of no-reflow in T2DM-STEMI patients, potentially aiding the early identification of patients in need of targeted management.
METHODS: A retrospective cohort of 524 patients with T2DM and STEMI undergoing PPCI was analyzed. No-reflow was defined as post-procedural TIMI flow grade ≤2. Multivariable logistic regression and receiver operating characteristic (ROC) curve analyses were employed.
RESULTS: The incidence of no-reflow was 8.97% (47/524). Both TyG index (adjusted odds ratio [aOR] 2.98) and NLR (aOR 1.23) were identified as independent predictors. Patients were stratified into four groups based on the optimal cut-offs for NLR (2.831) and TyG (9.347). The group with high levels of both markers had a substantially higher no-reflow incidence (23.21%) compared to the low-risk group (1.49%). The combined model (TyG + NLR) demonstrated superior predictive performance (AUC 0.785) over models containing either marker alone or baseline clinical factors.
CONCLUSION: The combination of TyG index and NLR effectively stratifies the risk of no-reflow in T2DM-STEMI patients, potentially aiding the early identification of patients in need of targeted management.
Предметные рубрики MeSH
NeutrophilsLymphocytesLeukocyte CountTriglyceridesBlood GlucosePredictive Value of TestsDiabetes Mellitus, Type 2ST Elevation Myocardial InfarctionPercutaneous Coronary InterventionTreatment OutcomePostoperative ComplicationsNo-Reflow PhenomenonOdds RatioIncidenceBiomarkersReference ValuesRisk FactorsRisk AssessmentROC CurveRetrospective StudiesLogistic ModelsHumansMaleFemaleMiddle AgedAged