Coronary Artery Tree Description Research Articles

Coronary Artery Tree Description and Lesion Evaluation (CatLet) score for functional evaluation of coronary stenosis: a comparison study with pressure wire fractional flow reserve.

Pressure wire fractional flow reserve (FFR) and its derivatives, such as quantitative flow ratio (QFR), computational pressure flow-derived FFR (caFFR), coronary angiography-derived FFR (FFRangio), and computed tomography-derived FFR (FFRCT), have been validated for identifying functionally significant stenosis and guiding revascularization strategy. The limitations of using these methods include the side effects of hyperemia-induced agents, additional costs, and vulnerability to microvascular resistance. FFR is related both to the degree of a stenotic coronary artery and to its subtended myocardial territory. Coronary Artery Tree Description and Lesion Evaluation (CatLet) score (also known as Hexu) is a product of the degree of a stenosis and the weighting of the affected coronary artery (myocardial territory). Hence, we hypothesized that the CatLet score could predict hemodynamically significant coronary stenosis. We retrospectively enrolled consecutive patients with stable coronary artery disease. They attended Sichuan Science City Hospital with at least one lesion of 50-90% diameter stenosis in a coronary artery of 2 mm or larger. FFR measurement was obtained during invasive coronary angiography. The CatLet score was obtained by multiplying a fixed value of 2.0 (for non-occlusive lesions) and the weight of the affected coronary artery. The primary endpoint was the CatLet score's diagnostic accuracy in identifying hemodynamically significant coronary stenosis, with a pressure wire FFR of ≤0.80 being used as reference. We analyzed the FFR and CatLet scores from 206 vessels in 175 patients with stable coronary disease and intermediate coronary lesions. The per-vessel analysis revealed an overall good correlation between the CatLet score and the FFR [r=-0.61; 95% confidence interval (95% CI): -0.69 to -0.52; P<0.01]. We also noted a significant CatLet score-FFR correlation for each of the left anterior descending artery (LAD), left circumflex (LCX), and right coronary artery (RCA). With a CatLet score ≥10 as a predictor of FFR ≤0.80, the overall diagnostic accuracy included a sensitivity of 78.80% (95% CI: 67.00-87.90%), a specificity of 85.00% (95% CI: 78.00-90.50%), a positive likelihood ratio of 5.25, a negative likelihood ratio of 0.25, and an area under the curve of 0.90 (95% CI: 0.85-0.94). Equivalent vessel-specific results were also achieved for each of the LAD, LCX, and RCA. The CatLet score, solely based on visual estimation of the results of coronary angiography, demonstrated good diagnostic performance with respect to myocardial ischemia. Its clinical values in guiding revascularization warrant further investigation.

Developing and Validating a Simple Risk Score for Patients with Acute Myocardial Infarction.

Mortality from acute myocardial infarction (AMI) remains substantial. The current study is aimed at developing a novel simple risk score for AMI. The Coronary Artery Tree description and Lesion EvaluaTion (CatLet) extended validation trial (ChiCTR2000033730) and the CatLet validation trial (ChiCTR-POC-17013536), both being registered with <ext-link ext-link-type="uri" xlink:href="http://chictr.org" xmlns:xlink="http://www.w3.org/1999/xlink">chictr.org</ext-link>, served as the derivation and validation datasets, respectively. Both datasets included 1,018 and 308 patients, respectively. They all suffered from AMI and underwent percutaneous intervention (PCI). The endpoint was 4-year all-cause death. Lasso regression analysis was used for covariate selection and coefficient estimation. Of 26 candidate predictor variables, the four strongest predictors for 4-year mortality were included in this novel risk score with an acronym of BACEF (serum alBumin, Age, serum Creatinine, and LVEF). This score was well calibrated and yielded an AUC (95% CI) statistics of 0.84 (0.80-0.87) in internal validation, 0.89 (0.83-0.95) in internal-external (temporal) validation, and 0.83 (0.77-0.89) in external validation. Notably, it outperformed the ACEF, ACEF II, GRACE scores with respect to 4-year mortality prediction. A simple risk score for 4-year mortality risk stratification was developed, extensively validated, and calibrated in patients with AMI. This novel BACEF score may be a useful risk stratification tool for patients with AMI.

Revisit of the CatLet (Hexu) angiographic scoring system: a narrative review.

We have recently developed the Coronary Artery Tree description and Lesion EvaluaTion (CatLet or Hexu, invented by He and Xu) angiographic scoring system, which, considering the coronary anatomy in its diversity, the stenosis degree of a coronary artery, and the myocardial territory subtended by the diseased coronary artery, can be utilized to predict clinical outcomes for patients with acute myocardial infarction (available at www.catletscore.com). Its values for clinical practice and coronary artery disease research are building upon. Over the past two years, the principles underlying this novel angiographic scoring system do not materially change although slight adjustments have really happened. Given these adjustments and the scoring experience gained in daily use, we think that it is necessary to elaborate on these points so that readers with interest are capable to better use this CatLet or Hexu angiographic scoring system both in clinical practice and in scientific research. The principles underlying this novel angiographic scoring system include the 17-myocardial segmental model, law of competitive blood supply, and law of flow conservation. The adjustments made to this novel angiographic scoring system include: (I) the short axis of the left ventricle at the basal level is used to characterize the six types of right coronary artery size; (II) segments marked with 'X and 'S have a unified preset difference of one segment as adopted in the characterization of left anterior descending artery; (III) segments marked with '+ have been added to explain the rare variability in the obtuse marginal branches or in the posterolateral vessels in some cases. The CatLet or Hexu angiographic scoring system strictly follows the law of flow conservation in weighting assignment, and the lesion scoring correction has been additionally emphasized and detailed. The elaboration on these adjustments and scoring experience gained on the CatLet or Hexu angiographic scoring system will help to boost its use in cardiovascular field. The utilities of this novel angiographic scoring system have been preliminarily validated and its future is deserving of being anticipated.

Residual coronary artery tree description and lesion EvaluaTion (CatLet) score, clinical variables, and their associations with outcome predictions in patients with acute myocardial infarction.

We have recently developed a new Coronary Artery Tree description and Lesion EvaluaTion (CatLet) angiographic scoring system. Our preliminary studies have demonstrated its superiority over the the Synergy between percutaneous coronary intervention (PCI) with Taxus and Cardiac Surgery (SYNTAX) score with respect to outcome predictions for acute myocardial infarction (AMI) patients. The current study hypothesized that the residual CatLet (rCatLet) score predicts clinical outcomes for AMI patients and that a combination with the three clinical variables (CVs)-age, creatinine, and ejection fraction, will enhance its predicting values. The rCatLet score was calculated retrospectively in 308 consecutively enrolled patients with AMI. Primary endpoint, major adverse cardiac or cerebrovascular events (MACCE) including all-cause mortality, non-fatal AMI, transient ischemic attack/stroke, and ischemia-driven repeat revascularization, was stratified according to rCatLet score tertiles: rCatLet_low ≤3, rCatLet_mid 4-11, and rCatLet_top ≥12, respectively. Cross-validation confirmed a reasonably good agreement between the observed and predicted risks. Of 308 patients analyzed, the rates of MACCE, all-cause death, and cardiac death were 20.8%, 18.2%, and 15.3%, respectively. Kaplan-Meier curves for all endpoints showed increasing outcome events with the increasing tertiles of the rCatLet score, with P values <0.001 on trend test. For MACCE, all-cause death, and cardiac death, the area under the curves (AUCs) of the rCatLet score were 0.70 (95% confidence intervals [CI]: 0.63-0.78), 0.69 (95% CI: 0.61-0.77), and 0.71 (95% CI: 0.63-0.79), respectively; the AUCs of the CVs-adjusted rCatLet score models were 0.83 (95% CI: 0.78-0.89), 0.87 (95% CI: 0.82-0.92), and 0.89 (95% CI: 0.84-0.94), respectively. The performance of CVs-adjusted rCatLet score was significantly better than the stand-alone rCatLet score in terms of outcome predictions. The rCatLet score has a predicting value for clinical outcomes for AMI patients and the incorporation of the three CVs into the rCatLet score will enhance its predicting ability. http://www.chictr.org.cn , ChiCTR-POC-17013536.

The predictive value of CatLet© angiographic scoring system for long-term prognosis in patients with acute myocardial infarction presenting > 12 h after symptom onset.

BackgroundWe have recently developed the Coronary Artery Tree description and Lesion EvaluaTion (CatLet©) angiographic scoring system, which is capable of accounting for the variability in coronary anatomy, and risk-stratifying patients with coronary artery disease. This study aimed to clarify whether the CatLet score had a predictive value for long-term prognosis in patients with acute myocardial infarction (AMI) presenting > 12 h after symptom onset.Materials and methodsThe CatLet score was calculated for 1,018 consecutively enrolled AMI patients, who were divided into 3 groups according to the CatLet score tertiles. The primary endpoint was major adverse cardiac events (MACEs), defined as a composite of myocardial infarction, cardiac death, and ischemia-driven revascularization; secondary endpoints were all-cause death, cardiac death, myocardial infarction, and ischemia-driven revascularization.ResultsThe CatLet score was capable of predicting long-term prognosis at a median 4.9-year follow-up alone or after adjustment for risk factors. Multivariable-adjusted hazard ratios (95% CI)/unit higher score were 1.06 (1.05–1.08) for MACEs, 1.05 (1.03–1.07) for all-cause death, 1.06 (1.04–1.09) for cardiac death, 1.06 (1.04–1.08) for myocardial infarction, and 1.06 (1.04–1.08) for revascularization. The univariate model showed good calibration (χ2 = 8.25, P = 0.4091) and good discrimination (area under ROC curve = 0.7086) for MACEs.ConclusionThe CatLet score is an independent predictor of long-term clinical outcomes of patients with AMI presenting > 12 h after symptom onset (http://www.chictr.org.cn; Registry Number: ChiCTR2000033730).

CatLet score and Clinical CatLet score as predictors of long-term outcomes for patients with acute myocardial infarction undergoing delayed percutaneous coronary intervention

Abstract Background We have recently developed a Coronary Artery Tree description and Lesion EvaluaTion (CatLet) angiographic scoring system based on the 17 myocardial segment model, law of competitive blood supply, and law of flow conservation. This novel angiographic scoring system can be utilized to account for the variable coronary anatomy, the severity and complexity of coronary artery lesions, and to standardize the collection of angiographic data. Our preliminary study demonstrated that the CatLet score better predicted clinical outcomes than the SYNTAX score for patients with acute myocardial infarction (AMI) undergoing primary percutaneous coronary intervention (PCI). The current study aimed at assessing whether the CatLet score (CS) and the Clinical CatLet score (CCS) predicted clinical outcomes for AMI patients undergoing delayed PCI. Methods The CS was calculated in 1018 consecutively prospectively enrolled AMI patients. Primary end point was major adverse cardiac events (MACEs), a composite of myocardial infarction, cardiac death, and ischemia-driven revascularization. CCS was calculated multiplying the CS by the ACEF score constructed using age, creatinine, and LVEF. Tertile partitioning of CS and CCS were as follows: CSlow ≤12, CSmid 13–18, and CStop ≥19; CCSlow ≤13, CCSmid 14–24, and CCStop ≥25, respectively. Cox regression analysis was employed to identify the associations between predictors and clinical outcomes. Results Four-year MACE rates were significantly higher with CStop compared with CSlow [4.82 (3.39–6.85), P&amp;lt;0.001], which was also the case for all-cause death, cardiac death, myocardial infarction, and ischemia-driven revascularization; for all these endpoints, there were a significant trend (P&amp;lt;0.001) for higher event rates with the increasing CS tertiles as shown in Figure 1. Stratifying outcomes across CCS tertiles resulted in similar results for the comparisons between CCStop and CCSlow. For MACEs, CCS had a significantly increased C-index [(C-index (95% CI), 0.725 (0.692–0.759) vs. 0.693 (0.659–0.727), P=0.001] compared with CS, which was also the case for all-cause death, cardiac death, and myocardial infarction. However, for ischemia-driven revascularization, CCS had a slightly decreased C-index [0.655 (0.609–0.701) vs. 0.670 (0.625–0.716), P=0.235] compared with CS, without a significant difference. In terms of calibration, CCS was comparable to CS for MACEs, all-cause death, cardiac death, and myocardial infarction. However, calibration for ischemia-driven revascularization worsened for CCS compared with CS (χ2=22.07, P=0.004 vs. χ2=7.79, P=0.454). Both scores remained to be independent predictors of clinical outcomes (in separate models) after adjustment for a broad spectrum of risk factors. Conclusions CS and to a greater extent CCS were able to risk-stratify long-term outcomes in AMI patients undergoing delayed PCI. Funding Acknowledgement Type of funding sources: Foundation. Main funding source(s): 2020YFC2004705 &amp; SYS2019040 Figure 1. Kaplan-Meier curves for endpoints

Age, Serum Creatinine, and Left Ventricular Ejection Fraction Improved the Performance of the CatLet Angiographic Scoring System in Terms of Outcome Predictions for Patients with Acute Myocardial Infarction: A Median 4.3-Year Follow-Up Study

Background: We recently developed the Coronary Artery Tree description and Lesion EvaluaTion (CatLet) angiographic scoring system. Our preliminary study demonstrated that the CatLet score better predicted clinical outcomes than the SYNTAX score. The current study aimed at assessing whether 3 clinical variables (CVs) – age, serum creatinine, and left ventricular ejection fraction (LVEF) – improved the performance of the CatLet score in outcome predictions in patients with acute myocardial infarction (AMI). Methods: This study was a post hoc study of the CatLet score validation trial. Primary endpoint was major adverse cardiac or cerebrovascular events (MACCEs), and secondary endpoints were all-cause deaths and cardiac deaths. Results: Over 1,185 person-years (median [interquartile range], 4.3 [3.8–4.9] years), there were 64 MACCEs (20.8%), 56 all-cause deaths (18.2%), and 47 cardiac deaths (15.2%). The addition of the 3 CVs to the stand-alone CatLet score significantly increased the Harrell’s C-index by 0.0967 (p = 0.002) in MACCEs, by 0.1354 (p < 0.001) in all-cause deaths, and by 0.1187 (p = 0.001) in cardiac deaths. When compared with the stand-alone CatLet score, improved discrimination and better calibration led to a significantly refined risk stratification, particularly at the intermediate-risk category. Conclusions: CatLet score had a predicting value for clinical outcome in AMI patients. This predicting value can be improved through a combination with age, serum creatinine, and LVEF (http://www.chictr.org.cn; unique identifier: ChiCTR-POC-17013536).

Fallacies and Possible Remedies of the SYNTAX Score.

Quite a few studies have revealed the clinical values regarding the outcome predictions in the cohort of the Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) trial and decision-making with the SYNTAX score. The Evaluation of Xience Everolimus-Eluting Stent Versus Coronary Artery Bypass Surgery for Effectiveness of Left-Main Revascularization (EXCEL) and Nordic-Baltic-British left main revascularization (NOBLE) studies are the largest international randomized studies so far, comparing percutaneous coronary intervention (PCI) and coronary artery bypass graft (CABG) in the treatment of left main coronary artery disease. Unfortunately, both studies failed to validate the value of the SYNTAX score in the selection of revascularization strategies for patients with coronary artery diseases (CAD).. This scenario prompted us to reconsider the inherent fallacies of the SYNTAX score in its derivation. We pointed out eight fallacies for the SYNTAX score in this paper. A recently developed Coronary Artery Tree description and Lesion EvaluaTion (CatLet) score, available at http://www.catletscore.com, a novel angiographic scoring system, could be the remedies for the SYNTAX score.

Inter- and intra-observer variability for the assessment of coronary artery tree description and lesion EvaluaTion (CatLet©) angiographic scoring system in patients with acute myocardial infarction.

Background:Previously, we developed a novel Coronary Artery Tree description and Lesion EvaluaTion (CatLet©) angiographic scoring system, which was capable of accounting for the variability in the coronary anatomy and assisting in the risk-stratification of patients with acute myocardial infarction (AMI). Our preliminary study revealed that the CatLet score better predicted clinical outcomes for AMI patients than the Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery score. However, the reproducibility of the CatLet score in both inter- and intra-observer remains to be evaluated.Methods:A total of 30 consecutive AMI patients, admitted in September of 2015, were independently assessed by two experienced interventional cardiologists to evaluate the inter-observer reproducibility of the CatLet score. Another set of 49 consecutive AMI patients, admitted between September and October in 2014, were assessed by one of the two interventional cardiologists on two occasions 3 months apart to evaluate the intra-observer reproducibility of the CatLet score. The weighted kappa was used to express the degree of agreement.Results:The weighted kappa values (95% confidence interval) for the intra- and inter-observer reproducibility of the CatLet Score were 0.82 (0.59–1.00, Z = 7.23, P < 0.001) and 0.86 (0.54–1.00, Z = 5.20, P < 0.001), respectively, according to the tertile analysis (≤14, 15–22, >22). Regarding the adverse characteristics pertinent to lesions and dominance parameters, the kappa values for the inter-observer variability were 0.80 (0.56–1.00, Z = 6.47, P < 0.001) for total number of lesions, 0.57 (0.28–0.85, Z = 3.03, P < 0.001) for bifurcation, 0.69 (0.43–0.96, Z = 5.06, P < 0.001) for heavy calcification, 1.00 (0.72–1.00, Z = 6.93, P < 0.001) for tortuosity, 0.54 (0.26–0.82, Z = 3.78, P < 0.001) for thrombus, 0.69 (0.48–0.91, Z = 6.29, P < 0.001) for right coronary artery dominance, 0.69 (0.41–0.96, Z = 4.91, P < 0.001) for left anterior descending artery length, and 0.22 (0.06–0.51, Z = 1.56, P = 0.06) for diagonal size. Equivalent values for the intra-observer variability were moderate to almost perfect (range 0.54–1.00).Conclusions:The reproducibility of the CatLet angiographic scoring system for evaluation of the coronary angiograms ranged from substantial to excellent. The high reproducibility of the CatLet angiographic scoring system will boost its clinical application to patients with AMI.

The CatLet score, clinical variables and improved outcome predictions in acute myocardial infarction: a follow-up study of median 4.3-years

Abstract Background The Coronary Artery Tree description and Lesion Evaluation (CatLet) score accommodating the variability in the coronary anatomy is a recently develpoed and comprehensive angiographic scoring system aiming to assist in risk-stratification of coronary artery disease patients. Our preliminary study demonstrated that the CatLet score predicted the clinical outcomes in patients with acute myocardial infaration (AMI) undergoing pirmary percutaneous intervention (PCI). Purpose The current study aimed to identify whether the clinical variables (CVs: age, creatinine and left ventricular ejection fraction) additionally improved the performance of the CatLet score with respect to the outcome predictions in AMI undergoing primary PCI. Methods The CatLet score was calculated retrospectively in consecutively enrolled 308 patients with AMI. The primary end point was major adverse cardiac or cerebrovascular events (MACCEs) at median 4.3-years. Secondary endpoints were all-cause death and cardiac death. Cox regression survival analysis was uesd to identify the associations between the CatLet score, clinical variables and the clinical outcomes. Discrimination was assessed by Harrell's C index, net reclassification improvement (NRI) and calibration was assessed by Hosmer-Lemeshow test and validation plots. Results The CatLet score remained a significant predictor for outcome predictions at a median 4.3-years follow-up after adjusting for the 3 CVs. The model incorporationg the CatLet score and these 3 CVs (CVs-adjusted model) performed better than the stand-alone CatLet model in terms of outcome predictions. Compared with the stand-alone CatLet model, Harrell's C index with the CVs-adjusted model significantly increased by 0.10 (P=0.002) in MACCE, by 0.14 (P&amp;lt;0.001) in all-cause death events and by 0.12 (P=0.001) in cardiac death events. When reclassifying patients with 4.3 year MACCE from the stand-alone CatLet model into the CVs-adjusted model, out of the 244 subjects who remained free of MACCE events, 101 were correctly reclassified to a lower risk category and 42 were reclassified to a higher risk category (categories: ≤10%, 10% to ≤20%, 20% to ≤40%, &amp;gt;40%); out of the 64 subjects who developed MACCE events, 26 were correctly reclassified to a higher risk category and 10 were reclassified to a lower risk category. The category-based overall NRI was 0.49 (P&amp;lt;0.001) and the continuous overall NRI was 0.74 (P&amp;lt;0.001). Hosmer-Lemeshow tested showed a better calibration in MACCE events in the CVs-adjusted model (X2=4.14, P=0.8440) than in the stand-alone CatLet model (X2=5.06, P=0.7515). Similar findings were found both in all-cause death and cardiac death. Conclusion The 3 CVs (age, creatinine and left ventricular ejection fraction) additionally improved the performance of the CatLet score with respect to the outcome predictions in AMI undergoing primary PCI. (ChiCTR-POC-17013536) Reclassification plot Funding Acknowledgement Type of funding source: Private grant(s) and/or Sponsorship. Main funding source(s): Sci-Tech Development Program, Grant/Award

The CatLet score and outcome prediction in acute myocardial infarction for patients undergoing primary percutaneous intervention: A proof-of-concept study.

The Coronary Artery Tree description and Lesion EvaluaTion (CatLet) score accommodating the variability in coronary anatomy is a recently developed and comprehensive angiographic scoring system aimed at assisting in risk-stratification of patients with coronary artery disease. However, a validation of this angiographic scoring system is lacking. The CatLet score was calculated retrospectively in 308 consecutively enrolled patients with acute myocardial infarction (AMI) undergoing primary percutaneous coronary intervention. The primary endpoint, major adverse cardiac or cerebrovascular events (MACCEs), was stratified according to CatLet tertiles: CatLetlow ≤14 (n = 124), CatLetmid 15-21 (n = 82) and CatLettop ≥22 (n = 102). The CatLet score alone or after adjusting for a broad spectrum of risk factors, significantly predicted clinical outcomes at a median 4.3-year follow-up. Multivariable-adjusted hazard ratios (95%CI)/unit higher score were 1.05 (1.04-1.07) for MACCE, 1.06 (1.04-1.07) for cardiac death, and 1.05 (1.04-1.07) for all-cause death. When compared to the SYNTAX score, improved discrimination and better calibration of this CatLet score resulted in a significantly refined risk stratification. The overall category-free net reclassification improvement afforded by this CatLet score was as follows: 37.2% (p = .008) for MACCEs, 35.5% (p = .0249) for cardiac death, and 31.8% (p = .0316) for all-cause death. The ability to integrate the variability in coronary anatomy into angiographic scoring makes the CatLet score a more specific tool for outcome predictions in AMI. (http://www.chictr.org.cn. Unique identifiers: ChiCTR-POC-17013536).

The CatLet score: a new coronary angiographic scoring tool accommodating the variable coronary anatomy for the first time.

The SYNTAX score for decision makings or outcome predictions in coronary artery disease does not account for the variations in the coronary anatomy, which is a clear fallacy for patients with less typical anatomy than suggested by the SYNTAX score. The current study aimed to derive a new coronary angiographic scoring system accommodating the variability in the coronary anatomy. The 17-myocardial segment model and laws of competitive blood supply and flow conservation were utilized to derive this new scoring system. We obtained 6 types of RCA dominance, 3 types of diagonal size and 3 types of left anterior descending artery (LAD) length, which together resulted in a total of 54 patterns of coronary artery circulation to account for the variability in the coronary anatomy among individuals. A Coronary Artery Tree description and Lesion EvaluaTion (CatLet) angiographic scoring system has been designed based on the above-mentioned reclassification scheme (htpp://www.catletscore.com, IE browser is required to run this calculator). This new CatLet angiographic scoring system accommodated the variability in the coronary anatomy and standardized the collection of the coronary angiographic data, which could facilitate the comparison and exchange of these data between different catheter labs. Its utility for predicting the clinical outcomes and standardizing the angiographic data collection will be investigated in a series of clinical trials enrolling "all-comers" with coronary artery disease (CAD).