Validation of the V‐RESOLVE (Visual Estimation for Risk prEdiction of Side Branch OccLusion in Coronary Bifurcation interVEntion) score system in unprotected left main bifurcation

A New Scoring System Predicting Side-Branch Occlusion in Patients Undergoing Left Main Bifurcation Intervention: The LM V-RESOLVE Score

BACKGROUND

The risk of side-branch (SB) occlusion is pivotal for decision making of stenting strategies during unprotected left main (LM) bifurcation percutaneous coronary intervention (PCI). Accordingly, this study aimed to develop a scoring system for predicting SB occlusion during unprotected LM bifurcation PCI.

METHODS

A total of 855 consecutive patients undergoing unprotected LM bifurcation PCI with provisional strategy at Fuwai Hospital from January 2014 to December 2016 were recruited. A prediction model was selected by means of all-subsets logistic regression, and a multivariable risk score (Left Main Visual Estimation for Risk Prediction of Side Branch Occlusion in Coronary Bifurcation Intervention [LM V-RESOLVE]) was then established with incremental weights attributed to each component variable based on its estimate coefficients. SB occlusion was defined as any decrease in Thrombolysis in Myocardial Infarction (TIMI) flow grade or absence of flow in SB after main vessel (MV) stenting.

RESULTS

SB occlusion occurred in 19 LM bifurcation lesions (2.22%). In multivariable model, 3 variables, including MV/SB diameter ratio, MV plaque ipsilateral to SB, and baseline diameter stenosis of SB, were independent predictors for SB occlusion (model C-statistic 0.829, 95% confidence interval [CI] 0.735-0.923, with good calibration). The risk score had a C-statistics of 0.830 (95% CI 0.738-0.923) with good calibration. Satisfactory discriminative ability of the risk score was also preserved in external validation (C-statistic 0.794, 95% CI 0.691-0.896).

CONCLUSIONS

The LM bifurcation-specific novel scoring system, LM V-RESOLVE, based on 3 simple baseline angiographic findings, could help to rapidly discriminate lesions at risk of SB occlusion during LM bifurcation PCI.

Diabetes Mellitus with Mild or Moderate Kidney Dysfunction is Associated with Poor Prognosis in Patients with Coronary Artery Disease: A Large-Scale Cohort Study

AIM

Both kidney dysfunction and diabetes mellitus (DM) predict long-term poor prognosis in patients with coronary artery disease (CAD). We aimed to evaluate the clinical outcomes according to the combined status of DM and different stages of kidney dysfunction in CAD patients.

METHODS

From January 2013 to December 2013, 9293 eligible patients hospitalized for percutaneous coronary intervention (PCI) at Fuwai hospital were followed up for major adverse cardiovascular and cerebrovascular events (MACCEs), a composite of all-cause mortality, myocardial infarction and stroke. Baseline kidney function was considered as stage I: normal or high kidney function; stage II: mild dysfunction and stage III: moderate dysfunction according to estimated glomerular filtration rate (eGFR). Upon baseline kidney function, diabetic and non-diabetic patients were divided into six groups.

RESULTS

During a median follow-up of 2.4 years, 326 (3.5%) MACCEs occurred. Compared to patients in the stage I/non-DM group, patients in the stage II/DM and stage III/DM groups had significantly increased MACCE risk [adjusted hazard ratio (aHR), 1.53; 95% confidence interval (CI), 1.09-2.15; P = 0.014; aHR, 3.00; 95%CI, 1.74-5.18; P<0.002, respectively]. Additionally, there were J-shaped associations of eGFR with MACCE risk regardless of glycemic metabolism status after adjusted for confounders. Furthermore, moderate kidney dysfunction conferred an increased MACCE risk in diabetic patients with uncontrolled glycemia (aHR, 2.93; 95%CI, 1.48-5.78; P=0.002).

CONCLUSIONS

DM with mild or moderate kidney dysfunction is associated with poor prognosis in CAD patients. Categorical classification of patients with DM and kidney dysfunction could provide prognostic information for risk stratification of CAD patients.

High absolute neutrophil count with type 2 diabetes is associated with adverse outcome in patients with coronary artery disease: A large-scale cohort study

Background

Inflammatory processes crucially modulate the development, progression, and outcomes of coronary artery disease (CAD). Since hyperglycemia could alter inflammatory responses, this study aimed to investigate the effect of ANC, a novel and rapidly available inflammatory biomarker, on the prognosis of patients undergoing PCI with or without type 2 diabetes (T2D).

Methods

A total of 7,826 patients with CAD hospitalized for PCI at Fuwai Hospital were consecutively recruited. According to the median ANC value, patients were stratified as having high ANC (ANC-H) or low ANC (ANC-L) and were further classified into four groups by T2D. The primary endpoint was major adverse cardiovascular and cerebrovascular events (MACCEs), including all-cause mortality, myocardial infarction, stroke, and target vessel revascularization.

Results

During a median follow-up of 2.4 years, 509 (6.5%) MACCEs were documented. Diabetic patients with increased ANC were at significantly higher risk of MACCEs (aHR, 1.55; 95% CI, 1.21-1.99; P = 0.001) compared to those in the ANC-L/non-T2D group (P for interaction between T2D and ANC categories = 0.044). Meanwhile, multivariable regression analysis demonstrated the highest MACCE risk in diabetic patients with a higher level of ANC than others (P for trend <0.001).

Conclusion

This study suggests that stratification of patients with elevated ANC and T2D could provide prognostic information for CAD patients undergoing PCI.