Development and validation of a novel craniofacial statistical shape model for the virtual reconstruction of bilateral maxillary defects

Bilateral maxillary defects are a challenge for fibula free flap reconstruction (FFFR) surgery due to limitations in virtual surgical planning (VSP) workflows. While meshes of unilateral defects can be mirrored to virtually reconstruct missing anatomy, Brown class c and d defects lack a contralateral reference and associated anatomical landmarks. This often results in poor placement of osteotomized fibula segments. This study was performed to improve the VSP workflow for FFFR using statistical shape modeling (SSM) - a form of unsupervised machine learning - to virtually reconstruct premorbid anatomy in an automated, reproducible, and patient-specific manner. A training set of 112 computed tomography scans was sourced from an imaging database by stratified random sampling. The craniofacial skeletons were segmented, aligned, and processed via principal component analysis. Reconstruction performance was validated on a set of 45 unseen skulls containing various digitally generated defects (Brown class IIa-d). Validation metrics demonstrated promising accuracy: mean 95th percentile Hausdorff distance of 5.47 ± 2.39 mm, mean volumetric Dice coefficient of 48.8 ± 14.5%, compactness of 7.28 × 105 mm2, specificity of 1.18 mm, and generality of 8.12 × 10-6 mm. SSM-guided VSP will allow surgeons to create patient-centric treatment plans, increasing FFFR accuracy, reducing complications, and improving postoperative outcomes.

Association of STAT3, CYP3A5, and ABCG2 Polymorphisms With Osimertinib-induced Adverse Events in NSCLC Patients

BACKGROUND/AIM

Osimertinib is a key drug for treating epidermal growth factor receptor (EGFR) mutation-positive non-small cell lung cancer (NSCLC). Genetic differences may be associated to adverse events (AEs) induced by osimertinib. This retrospective observational multicenter study evaluated the association of genotypes, including STAT3 -1697C>G, CYP3A5 6986A>G, and ABCG2 421C>A, with the incidence of osimertinib-induced AEs in patients with EGFR mutation-positive NSCLC.

PATIENTS AND METHODS

A total of 85 patients treated with osimertinib (Institution A: 33 patients, Institution B: 52 patients) were enrolled in the study. Single nucleotide polymorphisms were determined by real-time PCR, and the incidence of AEs was compared for each genotype.

RESULTS

Paronychia incidence was 59% for the CC genotype, 19% for the CG genotype, and 19% for the GG genotype at STAT3 -1697C>G. A genotype-related trend was observed (Cochran-Armitage test, p=0.009). Multivariate analysis showed that the CC genotype at STAT3 -1697C>G and female sex were significant independent factors associated with paronychia [odds ratio (OR)=6.41, 95% confidence interval (CI)=1.94-21.20 and OR=3.40, 95%CI=1.03-11.22, respectively]. The incidence of diarrhea was 53% for the CC genotype, 30% for the AC genotype, and 29% for the AA genotype at ABCG2 421C>A, and a genotype-related trend was observed (p=0.048). However, the CC genotype at ABCG2 421C>A was not a significant independent factor associated with diarrhea in multivariate analysis. No significant associations were detected between other polymorphisms and the incidence of AEs.

CONCLUSION

STAT3 -1697C>G may be a novel risk factor for osimertinib-induced paronychia in patients with NSCLC.

Formation of NV centers in diamond by a femtosecond laser single pulse

The NV centers in a diamond were successfully created by the femtosecond laser single pulse. We also investigated the effect on the diamond lattice induced by the different laser pulse widths from both experimental and theoretical perspectives. Interestingly, in spite of the high thermal conductivity of a diamond, we found that there is a suitable pulse repetition rate of several tens kHz for the formation of NV center ensembles by the femtosecond laser pulse irradiation.

Nuclear accumulation of MLKL induces necroptosis in cardiomyocytes: potential implication in Doxorubicin-induced cardiotoxicity

Background

The treatment with doxorubicin, a powerful chemotherapeutic agent, has been shown to be associated with an increased risk of lethal heart failure. Although various types of cell death pathway such as apoptosis and ferroptosis have been shown to be involved in the development of doxorubicin-induced cardiotoxicity, DIC, the involvement of necroptosis, a novel programmed necrosis induced by translocation of activated mixed lineage kinase domain-like protein, MLKL, to plasma membrane, remains unclear.

Purpose

The aim of this study was to determine whether necroptosis is involved in the development of DIC.

Methods and results

DIC was induced in C57BL/6J mice by intraperitoneal injection of doxorubicin at a dose of 10 mg/kg 3 times for a week. Eight days after the commencement of injection, echocardiographic analyses showed that left ventricular ejection fraction assessed by echocardiography was significantly lower in the doxorubicin-treated mice than in the vehicle-treated mice (44.0±13.7 vs. 70.5±3.7%), indicating the development of DIC. Immunoblot analysis showed that MLKL protein level was higher by 1.6 fold in the doxorubicin-treated mice than in the vehicle-treated mice. Interestingly, immunohistochemical analysis showed that signals of phospho-Ser345-MLKL, an activated form of MLKL, was found in the nuclei in addition to cytosol and intercalated discs of cardiomyocytes in the doxorubicin-treated mice. To get novel insight into significance of nuclear MLKL accumulation, a leucine-rich nuclear export signal (NES) spanning amino acids 280–284 of rat MLKL was identified by site-directed mutation analyses, and H9c2 cells, cultured rat cardiomyoblasts, were transfected with expression constructs for nucleus-directed MLKL (FLAG-mtNES-MLKL) or its wild type (FLAG-WT-MLKL). Percentage of FLAG-positive cells stained with Zombie Red, a fluorescent dye that is non-permeant to live cells, was higher in FLAG-mtNES-MLKL-transfected cells than in FLAG-WT-MLKL-transfected cells (80.0±3.5% vs. 6.3±1.3%, p<0.05), whereas percentage of cells immunostained with cleaved caspase-3 to FLAG-positive cells was similar in the two groups. The effect of the MLKL mutant on necroptosis was attenuated by treatment with GppNHp, an inhibitor of Ran-mediated nuclear protein import.

Conclusion

Nuclear accumulation of MLKL induces necroptosis in cardiomyocytes, which may contribute to progression of DIC.

Funding Acknowledgement

Type of funding sources: None.

Involvement of growth differentiation factor 15 in paradoxical relationship between body mass index and mortality in patients with suspected or known coronary artery disease; The ANOX Study

Background

Obesity is a well-established risk factor for type 2 diabetes mellitus, hypertension and dyslipidemia, leading to coronary artery disease (CAD). Nevertheless, body mass index (BMI) is inversely associated with cardiovascular (CV) mortality in patients with cardiac disorders, termed “obesity paradox”. However, the underlying mechanism remains unclear.

Purpose

To clarify important factors involved in the pathogenesis of obesity paradox.

Methods

Using data from a multicenter, prospective cohort of 2,418 patients with suspected or known CAD enrolled in the ANOX study, we assessed the relationship between BMI at baseline and the incidence of CV death over 3 years, and investigated the involvement of several endocrine factors which were previously reported to have some roles in obesity and heart diseases, such as adiponectin, N-terminal pro-brain natriuretic peptide (NT-proBNP) and growth differentiation factor 15 (GDF-15), in the relationship between BMI and CV death.

Results

In Kaplan-Meier analyses, the lower quartiles of BMI and the higher quartiles of adiponectin levels were paradoxically associated with the higher cumulative incidence of CV death. To clarify the important factors involved in the paradoxical association between BMI or adiponectin and mortality, we first investigated independent determinants for BMI and adiponectin levels respectively, using multiple stepwise regression analyses among many clinical factors, and then narrow down the prognostic factors commonly associated with BMI and adiponectin, which were age, hemoglobin and NT-proBNP. Interestingly, circulating levels of GDF15 were significantly correlated with NT-proBNP levels, and the presence of anemia raised the gradient of the correlation line in a scatter plot (without anemia, r=0.139, p<0.0001; with anemia, r=0.228, p<0.0001). Moreover, the highest GDF15 quartile showed significantly lower BMI and higher adiponectin levels compared to the lower quartiles (p<0.001 and p<0.001, respectively, by Student t-test). In Cox proportional hazard models, hazard ratios (HRs) of BMI (per 1-unit increase) were 0.90 (95% confidence interval [CI], 0.85–0.96) for CV death. Additional adjustment for hemoglobin, NT-proBNP, adiponectin or GDF15 diminished the statistical significance (HR, 0.92 [95% CI, 0.87–0.99], 0.95 [0.89–1.01], 0.92 [0.87–0.99], or 0.93 [0.87–0.99], respectively).

Conclusions

The lower BMI and the higher adiponectin levels were paradoxically associated with the higher incidence of CV death in patients with CAD. This paradox may be mediated by cardiac endocrine factors induced by cardiac stresses, including GDF-15 in addition to natriuretic peptides.

Funding Acknowledgement

Type of funding sources: Public Institution(s). Main funding source(s): The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.

Vascular endothelial factor C and D in patients with heart failure with preserved, mildly reduced, and reduced ejection fraction: the PREHOSP-CHF study

Background

The lymphatic system has been suggested to play an important role in cardiovascular diseases including heart failure (HF). Vascular endothelial growth factor C (VEGF-C) and D (VEGF-D) are key regulators of lymphangiogenesis, and we recently reported the association of low VEGF-C with the risk of all-cause death and high VEGF-D with the risk of HF hospitalization in patients with HF.

Purpose

To investigate the association of VEGF-C and VEGF-D with prognosis in patients with HF with preserved ejection fraction (EF) (HFpEF: EF≥50%), mildly reduced EF (HFmrEF: EF, 40–49%), and reduced EF (HFrEF: EF<40%).

Methods

The PREHOSP-CHF study is a multicenter prospective cohort study to determine the predictive value of angiogenesis-related biomarkers in HF. A total of 1,024 patients (mean age 75.5±12.6 years; 58.7% male) admitted to acute decompensated HF were included in the analyses. Serum levels of VEGF-C and VEGF-D, as well as N-terminal pro B-type natriuretic peptide (NT-proBNP), high sensitivity cardiac troponin-I (hs-cTnI), high sensitivity C reactive protein, were measured at the time of discharge. Patients were followed-up over two years.

Results

The numbers of HFpEF, HFmrEF, and HFrEF were 429 (41.9%), 186 (18.2%), and 409 (39.9%), respectively. HFpEF patients were older, more likely to be female, and had more hypertension, atrial fibrillation, and anemia, but less coronary artery disease. NT-proBNP and hs-cTnI levels increased with decreasing EF. VEGF-C levels decreased with increasing EF (median [interquartile range]: HFpEF, 4508 [3318–5919] pg/ml; HFmrEF, 4719 [3663–6203] pg/ml; HFrEF, 5023 [3804–6382] pg/ml), whereas VEGF-D levels were comparable among the three EF groups (HFpEF, 404.6 [293.1–560.3] pg/ml; HFmrEF, 386.0 [298.5–556.3] pg/ml; HFrEF, 414.2 [296.1–557.3] pg/ml). In multivariate stepwise logistic regression analyses, anemia and high NT-proBNP were independently associated with low VEGF-C levels, and high NT-proBNP was independently associated with high VEGF-D levels, across all the EF groups. During the follow-up, incidences of all-cause death and HF hospitalizations were similar among the three EF groups (log-rank P=0.6 for all-cause death, and log-rank P=0.3 for HF hospitalization). On multivariate Cox proportional hazard analyses including established risk factors and cardiovascular biomarkers, VEGF-C levels tended to be inversely associated with the incidence of all-cause death in patients with HFpEF and HFrEF (Figure). On the contrary, VEGF-D levels were significantly and positively associated with the incidence of HF hospitalization in patients with HFpEF, and tended to be positively associated with it in patients with HFmrEF and HFrEF (Figure).

Conclusions

Low VEGF-C was associated with the risk of all-cause death in patients with HFpEF and HFrEF, while high VEGF-D was associated with the risk of HF hospitalization especially in HFpEF.

Funding Acknowledgement

Type of funding sources: Public Institution(s). Main funding source(s): Grant-in-Aid for Clinical Research from the National Hospital Organization

Associations of soluble fms-like tyrosine kinase-1 with cardiovascular events and stroke in patients with atrial fibrillation and suspected or known coronary artery disease: the EXCEED-J study

Background

Atrial fibrillation (AF) increases the risk of stroke. Soluble fms-like tyrosine kinase-1 (sFlt-1), a vascular endothelial growth factor (VEGF) antagonist, has been suggested as a marker of endothelial dysfunction, which are associated with both AF and coronary artery disease (CAD). Recently, we demonstrated that sFlt-1 is independently associated with major adverse cardiovascular (CV) events (MACE) in patients with suspected or known CAD. However, the prognostic utility of sFlt-1 in patients with AF remains unknown.

Methods

Using data from a multicenter, prospective cohort of 3255 patients with suspected or known CAD, we investigated whether AF modifies the prognostic utility of sFlt-1. Heparin-free serum levels of sFlt-1, N-terminal pro-brain natriuretic peptide, high-sensitivity cardiac troponin-I, high-sensitivity C-reactive protein, cystatin C, neutrophil gelatinase-associated lipocalin, VEGF, and placental growth factor were measured in 324 patients with AF and 2931 patients without AF. The primary outcome was MACE defined as a composite of CV death, nonfatal myocardial infarction, and nonfatal stroke. The secondary outcomes were all-cause death, CV death, stroke, heart failure (HF) hospitalization, and coronary/peripheral artery revascularization. The biomarkers were natural log-transformed for use as continuous variables.

Results

After adjustment for potential clinical confounders including anticoagulant drug use, sFlt-1 was significantly associated with MACE (hazard ratio for 1 standard deviation increase [HR], 1.55; 95% confidence interval [CI], 1.14–2.08), CV death (HR, 1.68; 95% CI, 1.10–2.48), and stroke (HR, 1.89; 95% CI, 1.16–3.10), but not with all-cause death (HR, 1.32; 95% CI, 0.99–1.73), HF hospitalization (HR, 0.97; 95% CI, 0.73–1.25), or revascularization (HR, 0.99; 95% CI, 0.74–1.28) in patients with AF, whereas sFlt-1 was significantly associated with MACE (HR, 1.19; 95% CI, 1.02–1.37), all-cause death (HR, 1.19; 95% CI, 1.05–1.34), CV death (HR, 1.26; 95% CI, 1.03–1.48), and HF hospitalization (HR, 1.26; 95% CI, 1.11–1.42), but not with stroke (HR, 1.06; 95% CI, 0.81–1.33) or revascularization (HR, 1.01; 95% CI, 0.95–1.07) in patients without AF. Among other biomarkers, only VEGF was significantly associated with MACE (HR, 1.55; 95% CI, 1.02–2.44), and no biomarkers were significantly associated with CV death or stroke in patients with AF. sFlt-1 added incremental prognostic information for MACE (P=0.005 for net reclassification improvement [NRI], P=0.026 for integrated discrimination improvement [IDI]) and stroke (P=0.034 for NRI, P=0.018 for IDI), but not for CV death (P=0.021 for NRI, P=0.134 for IDI), to the model with potential clinical confounders in patients with AF.

Conclusions

sFlt-1 independently predicted MACE and stroke in patients with AF and suspected or known CAD. sFlt-1 may serve as a novel prognostic biomarker to stratify the risk of MACE and stroke in patients with AF.

Funding Acknowledgement

Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Health Labour Sciences Research Grant (2013-2014), AMED (2015-2017, Grant Number JP17ek0210008)

Serum amyloid A-low-density-lipoprotein complex and mortality in patients with suspected or known coronary artery disease: the ANOX study

Background

Serum amyloid A-low-density-lipoprotein (SAA-LDL) is a complex formed from the oxidative interaction between SAA and LDLs. A relatively small-scale study has shown that circulating SAA-LDL levels may serve as a prognostic marker in patients with stable coronary artery disease (CAD). However, the prognostic value of SAA-LDL should be confirmed in a larger-scale cohort study.

Methods

Using data from a multicenter, prospective cohort of 2416 patients with suspected or known CAD enrolled in the ANOX (Development of Novel Biomarkers Related to Angiogenesis or Oxidative Stress to Predict Cardiovascular Events) study, we assessed the prognostic value of serum levels of SAA-LDL. The primary outcome was all-cause death. The secondary outcomes were cardiovascular death and major adverse cardiovascular events (MACE) defined as a composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke. Patients were followed up over 3 years.

Results

Stepwise regression analysis including baseline data on potential clinical confounders (i.e., age, sex, body mass index, hypertension, dyslipidemia, diabetes, current smoking, estimated glomerular filtration rate, the Gensini score, previous myocardial infarction, previous stroke, previous heart failure hospitalization, atrial fibrillation, malignancies, anemia, antihypertensive drug use, statin use, and aspirin use) and established cardiovascular biomarkers (i.e., N-terminal pro-brain natriuretic peptide, high-sensitivity cardiac troponin I [hs-cTnI], and high-sensitivity C-reactive protein [hs-CRP]) revealed that independent determinants of SAA-LDL levels were female sex, dyslipidemia, the Gensini score, absence of statin use, hs-cTnI, and hs-CRP. After adjusting for potential clinical confounders and established cardiovascular biomarkers, the highest quartile of SAA-LDL levels (vs. the lowest quartile) was significantly associated with the incidence of all-cause death (hazard ratio [HR], 1.51; 95% confidence interval [CI], 1.02–2.26), but not with that of cardiovascular death (HR, 1.11; 95% CI, 0.59–2.10) or MACE (HR, 1.57; 95% CI, 0.97–2.57). Stratified analyses revealed that this association was pronounced in patients with low hs-cTnI (<75th percentile) (HR, 1.85; 95% CI, 1.06–3.30) and in patients with low hs-CRP levels (≤1.0 mg/L) (HR, 2.30; 95% CI, 1.17–4.79).

Conclusions

Elevated SAA-LDL levels were independently associated with the risk of all-cause death in patients with suspected or known CAD. The SAA-LDL level appears to serve as a prognostic biomarker for risk stratification in relatively low-risk patients with low hs-cTnI (<75th percentile) or low hs-CRP (≤1.0 mg/L).

Funding Acknowledgement

Type of funding sources: Public Institution(s). Main funding source(s): The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.

Recognition of pathogen-derived sphingolipids in Arabidopsis

In plants, many invading microbial pathogens are recognized by cell-surface pattern recognition receptors, which induce defense responses. Here, we show that the ceramide Phytophthora infestans-ceramide D (Pi-Cer D) from the plant pathogenic oomycete P. infestans triggers defense responses in Arabidopsis. Pi-Cer D is cleaved by an Arabidopsis apoplastic ceramidase, NEUTRAL CERAMIDASE 2 (NCER2), and the resulting 9-methyl-branched sphingoid base is recognized by a plasma membrane lectin receptor-like kinase, RESISTANT TO DFPM-INHIBITION OF ABSCISIC ACID SIGNALING 2 (RDA2). 9-Methyl-branched sphingoid base is specific to microbes and induces plant immune responses by physically interacting with RDA2. Loss of RDA2 or NCER2 function compromised Arabidopsis resistance against an oomycete pathogen. Thus, we elucidated the recognition mechanisms of pathogen-derived lipid molecules in plants.

Effectiveness of pharmacist intervention for deprescribing potentially inappropriate medications: a prospective observational study

Background

Potentially inappropriate medications (PIMs) and polypharmacy in older adults lead to increase the risk of adverse drug events. This study aimed to evaluate the effectiveness of pharmacist intervention combining the criteria for detecting PIMs with the deprescribing algorithm on correcting PIMs, reducing the number of medications, and readmissions.

Methods

A prospective observational study was conducted at a Japanese University Hospital enrolling new inpatients aged ≥65 years prescribed ≥1 daily medication. Pharmacists detected PIMs based on the criteria combined the screening tool of older persons’ potentially inappropriate prescriptions criteria version 2 with the screening tool for older persons’ appropriate prescriptions for Japanese, examined changes using the deprescribing algorithm, and suggested changes to the physician. The proportion of patients whose number of medications was reduced at discharge and the rate of readmissions within 30 and 90 days were compared between patients without PIMs (without PIMs group), patients who were not suggested to change PIMs (no suggestions group), and patients who were suggested to change PIMs (suggested group).

Results

The study enrolled 544 patients (median age 75.0 years, 54.4% males, median number of medications 6.0/patient). The number of patients with PIMs was 240 (44.1%), and 304 patients had no PIMs (without PIMs group). Among the patients with PIMs, 125 (52.1%) patients received pharmacist suggestions to change ≥1 PIMs (suggested group), and 115 patients received no suggestions for change (no suggestions group). The total number of PIMs was 432, of which changes were suggested for 189 (43.8%). Of these 189 cases, 172 (91.0%) were changed. The proportion of patients whose number of medications was reduced was significantly higher in the suggested group than in the without PIMs group and the no suggestions group [56.8% (71/125) vs. 26.6% (81/304) and 19.1% (22/115), respectively; P < 0.001 in both comparisons]. There were no significant differences in the rates of readmissions within 30 and 90 days among the three groups.

Conclusions

Pharmacist intervention combining the criteria for detecting PIMs with the deprescribing algorithm was effective for correcting PIMs and may be associated with a reduction in the number of medications.

Prognostic value of machine learning for acute heart failure

Funding Acknowledgements

Type of funding sources: None.

Background

At onset of acute heart failure (AHF), various clinical fundamental parameters including vital sign, laboratory data, or initial treatment were investigated, and we can roughly estimate the prognosis. However, machine learning method for prediction of the prognosis was not studied.

Purpose

To elucidate prognostic value of machine learning for AHF comparing conventional statistical model.

Methods

We enrolled consecutive 300 patients with AHF (79.5 ± 12.1 years, 158 Males). Patients with acute coronary syndrome, mechanical circulatory support cases, and cardio-pulmonary arrest cases were excluded. The patients were randomly divided into 80% (240 cases) and 20% (60 cases), and the former was used as train data, and the latter as validation data. Objective variable was set as cardiac death in one year. First, logistic regression analysis with Akaike’s information criterion (AIC) was performed, and extracted predictive parameters. The predictive model for the cardiac prognosis was constructed by cut-off value of ROC curve analysis of propensity score was calculated. Next, machine learning (random forest method and deep learning) to build predictive model was performed with the predictors. Finally, accuracy of each predictive model was compared.

Results

Thirty cases showed cardiac death in one year. Logistic regression with AIC extracted 8  predictors, and the cut off-value of propensity score with the 6 parameters was 0.110. The accuracy was 0.714 and area under ROC (AUROC) was 0.836. Conversely, random forest method demonstrated the accuracy as 0.927, AUROC 0.860. On deep learning, the accuracy was 0.937 and AUROC 0.901. 

The top 4 high feature importance of random forest were Cl/red blood cell count/pH/Anion Gap. However, accuracy of those predictors was lower than that of machine learning.

Conclusion

Machine learning was a powerful tool to predict cardiac prognosis of AHF, comparing with conventional statistical model. Abstract Figure. Statistical model

Distinct association of VEGF-C and VEGF-D with prognosis in patients with chronic heart failure: the PREHOSP-CHF study

Background

The lymphatic system has been suggested to play an important role in cardiovascular (CV) diseases including heart failure (HF). Vascular endothelial growth factor C (VEGF-C) and VEGF-D are key regulators of lymphoangiogenesis.

Purpose

To investigate the association of VEGF-C and VEGF-D with prognosis in patients with chronic HF (CHF).

Methods

The PREHOSP-CHF study is a multicenter prospective cohort study to determine the predictive value of angiogenesis-related biomarkers in CHF. A total of 1,024 patients (mean age, 75.5±12.6 years; male, 58.7%) admitted to acute decompensated HF were included in the analyses. The primary outcome was MACE defined as a composite of CV death or HF hospitalization. The secondary outcomes were all-cause death, CV death, and HF hospitalizations. Serum levels of VEGF-C and VEGF-D, as well as N-terminal pro B-type natriuretic peptide (NT-proBNP), high sensitivity cardiac troponin-I (hs-cTnI), high sensitive C reactive protein (hs-CRP), VEGF, and soluble VEGF receptor-2 (sVEGFR-2) were measured at the time of discharge. Patients were followed-up over two years.

Results

Median [interquartile range] of VEGF-C and VEGF-D levels were 4821 [3633–6131] pg/ml and 404 [296–559] pg/ml, respectively. In multivariate stepwise regression analysis, independent determinants of VEGF-C levels were younger age, female gender, absence of prior HF hospitalization, chronic kidney disease, and anemia, lower ejection fraction, lower NT-proBNP levels, higher VEGF levels, and higher sVEGFR-2 levels, while those of VEGF-D levels were lower body mass index, presence of diabetes and atrial fibrillation, and higher NT-proBNP levels. During the follow-up, a total of 209 (20.4%) all-cause deaths, 112 (10.9%) CV deaths, and 309 (30.2%) HF hospitalizations occurred. After adjusting for established risk factors and CV biomarkers, VEGF-C levels were significantly and inversely associated with the incidence of MACE and non-CV death (Fig.1, model 4). On the other hand, VEGF-D levels were significantly and positively associated with the incidence of HF hospitalization (Fig. 1, model 4). When we divided the patients into 4 groups based on the median of VEGF-C and VEGF-D levels, patients with low VEGF-C and high VEGF-D showed significantly higher incidence of MACE, all-cause death, CV death, and HF hospitalization compared to those with high VEGF-C and low VEGF-D (Fig. 2).

Conclusions

Among patients with CHF, VEGF-C and VEGF-D had different characteristic and association with the incidence of adverse events. VEGF-C levels were inversely associated with the incidence of MACE and non-CV death, and VEGF-D levels were positively associated with the incidence of HF hospitalization. These results suggests different effects of VEGF-C and VEGF-D in CHF. Combination of VEGF-C and VEGF-D enables us to make good risk stratification in patients with CHF.

Funding Acknowledgement

Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Grant-in-Aid for Clinical Research from the National Hospital Organization Figure 1Figure 2

Diagnostic performance of deep learning on 12-leads electrocardiography for recurrence after pulmonary vein isolation in patients with persistent atrial fibrillation

Background

Several patients with persistent atrial fibrillation (per-AF) suffer from recurrence after pulmonary vein isolation (PVI). Various methods to predict the recurrence were tried, but deep learning on 12-leads electrocardiography (ECG) after PVI was not studied.

Purpose

To elucidate diagnostic performance of deep learning on 12-leads ECG after PVI in patients with per-AF

Methods

We enrolled consecutive 109 patients with per-AF who underwent PVI (68.8±10.0 years, 83 males) excluding failure cases. We defined recurrence in 3–12 months after PVI. From the ECG just after PVI, five beats of each lead were sampled separately. Deep learning (convolutional neural network on bitmap ECG image) was performed by transfer learning of Inception-Resnet-V2 model. Gradient weighted class activation color mapping (GradCam) was performed to detect convolutional importance in the lead.

Results

Thirty-six patients showed recurrence in the period. Lead II (accuracy 0.701), aVR (0.690) were the top 2 leads of prediction, which showed larger accuracy than statistical accuracies of Non PV foci = SVC (accuracy = 0.541) and left atrial diameter &gt;50mm (0.596). In lead II, GradCam spotlighted strong convolution of latter half of P wave in recurrent case, and former half of P wave and T wave in no-recurrent case.

Conclusions

Deep learning on ECG was a powerful tool to predict recurrence of per-AF after PVI.

Funding Acknowledgement

Type of funding sources: None. Results of deep learningResults of GradCam

Intracellular localization of AMP deaminase and its novel role in BCAA and lipid metabolism in diabetic cardiomyopathy

Background

A metabolomic study in the human heart suggested a pivotal role of amino acid (AA) metabolism in fatty acid oxidation, which is dysregulated in type 2 diabetes mellitus (T2DM) and heart failure. We previously reported that aberrant up-regulation of AMP deaminase 3 (AMPD3) impairs cardiac energetics in T2DM hearts, and AMPD3 was recently shown to be activated by fasting and to promote AA metabolism and fatty acid oxidation in skeletal muscle. A sodium glucose cotransporter 2 inhibitor (SGLT2i) has been shown to augment systemic AA metabolism, but its effect on cardiac AA metabolism remains unknown.

Purpose

We hypothesized that AMPD3 has a role in AA and lipid metabolism in cardiomyocytes and that the protective effect of an SGLT2i in diabetic hearts is mediated by modification of AA and lipid metabolism.

Methods and results

Proteomic analyses of AMPD3 immunoprecipitates in rat hearts revealed that AMPD3 interacted with the E1α and E2 components of the BCKDH complex, a rate-limiting enzyme of branched-chain AA (BCAA) catabolism. Immunoblotting using subcellular fractions revealed that BCKDH localized not only in the mitochondria matrix but also in the cytosol and endoplasmic reticulum (ER) and that AMPD3 interacted with BCKDH in the cytosol and ER. Despite comparable expression of BCKDH components and phosphorylation of E1α at Ser293, significant accumulation of BCAA was observed in T2DM rats (OLETF; 317±30 nmol/g) compared to that in control rats (LETO; 213±16 nmol/g), and the accumulation of BCAA was accompanied by up-regulation of AMPD3 in the cytosol and ER by 98% and 231%, respectively. In cardiomyocytes, disruption of BCAA catabolism by knockdown of BCKDH-E1α resulted in a 5.8-fold increase in AMPD3 at the transcriptional level and blunted lipid droplet biogenesis in response to a long-chain fatty acid challenge. Next, myocardial infarction (MI) was induced in LETO and OLETF pretreated with empagliflozin (10 mg/kg/day, 14 days) or a vehicle. Pathway analysis of cardiac metabolites revealed arginine biosynthesis and BCAA metabolism as the most significantly changed pathways with empagliflozin, with BCAA (791±187 nmol/g), glutamate, glutamine and urea being significantly increased. Empagliflozin restored myocardial ATP and survival after MI in OLETF to levels comparable to those in LETO. Electron microscopy showed a significantly higher prevalence of myocardium lipid droplets in OLETF, which was further increased by empagliflozin.

Conclusions

The results support the hypotheses that imbalance of extra-mitochondrial AMPD3-BCKDH interaction underlies dysregulated BCAA metabolism in T2DM hearts and that activation of cardiac AA metabolism by an SGLT2i normalizes fatty acid overload through sequestration into intracellular lipid droplets.

Funding Acknowledgement

Type of funding sources: Foundation. Main funding source(s): Boehringer Ingelheim

Impact of atrial fibrillation on soluble fms-like tyrosine kinase-1 and cardiovascular events in patients with suspected or known coronary artery disease: the EXCEED-J study

Background

Soluble fms-like tyrosine kinase-1 (sFlt-1), a vascular endothelial growth factor (VEGF) antagonist, has been suggested as a marker of endothelial dysfunction. Circulating sFlt-1 levels are associated with adverse outcomes in patients with preeclampsia, chronic kidney disease, and heart failure. Atrial fibrillation (AF) and coronary artery disease (CAD) are both associated with endothelial dysfunction. However, whether sFlt-1 can predict cardiovascular (CV) events and whether AF modifies the relationship between sFlt-1 and CV events in patients with suspected or known CAD are unknown.

Methods

We performed a nationwide, multicenter, prospective cohort study to determine the prognostic value of sFlt-1 and other biomarkers in patients with suspected or known CAD undergoing elective angiography. Heparin-free fasting serum was collected from the peripheral vein to determine levels of sFlt-1, VEGF, placental growth factor, cystatin C, neutrophil gelatinase-associated lipocalin, N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity cardiac troponin-I (hs-cTnI), and high-sensitivity C-reactive protein (hs-CRP). The primary outcome was 3-point major adverse CV events (3P-MACE) defined as a composite of CV death, nonfatal myocardial infarction, and nonfatal stroke. The secondary outcomes were all-cause death, CV death, and 5P-MACE defined as a composite of 3P-MACE, heart failure hospitalization, and coronary/peripheral artery revascularization.

Results

3311 patients were consecutively enrolled between Nov 2013 and May 2017. After excluding 56 ineligible patients, 3255 patients (324 AF and 2931 non-AF) were followed up over 3 years (follow-up rate, 99%). During the follow-up, 156 patients developed 3P-MACE, 215 died from any cause, 82 died from cardiovascular disease, and 1361 developed 5P-MACE. The sFlt-1 level was significantly higher in AF compared to non-AF patients (p&lt;0.001). Stepwise regression analysis revealed that the sFlt-1 level was independently associated with AF. After adjusting for potential clinical confounders, serum levels of sFlt-1, NT-proBNP, hs-cTnI and cystatin C, but not other biomarkers, were significantly associated with 3P-MACE in the entire cohort. These associations were still significant in non-AF patients, whereas only the sFlt-1 level was significantly associated with 3P-MACE in AF patients. Serum levels of sFlt-1, but not other biomarkers, were also significantly associated with CV death in AF patients. Among the biomarkers, only the hs-CRP level was significantly associated with all-cause death, and no biomarker was significantly associated with 5P-MACE in AF patients. Furthermore, sFlt-1 provided an incremental prognostic information for 3P-MACE to the model with potential clinical confounders in AF, but not in non-AF patients.

Conclusions

Serum levels of sFlt-1 were significantly associated with 3P-MACE in patients with suspected or known CAD. This association was pronounced in AF patients.

Funding Acknowledgement

Type of funding sources: Public grant(s) – National budget only. Main funding source(s): The EXCEED-J study is supported by Health Labour Sciences Research Grant (2013-2014), AMED (2015-2017, Grant Number JP17ek0210008) and Grant-in-Aid for Clinical Research from the National Hospital Organization (2018-2020).

PFOS dominates PFAS composition in ambient fine particulate matter (PM2.5) collected across North Carolina nearly 20 years after the end of its US production

Contamination of drinking water by per- and polyfluoroalkyl substances (PFASs) emitted from manufacturing plants, fire-fighting foams, and urban waste streams has received considerable attention due to concerns over toxicity and environmental persistence; however, PFASs in ambient air remain poorly understood, especially in the United States (US). We measured PFAS concentrations in ambient fine particulate matter (PM_2.5) at 5 locations across North Carolina over a 1 year period in 2019. Thirty-four PFASs, including perfluoroalkyl carboxylic, perfluoroalkane sulfonic, perfluoroalkyl ether carboxylic and sulfonic acids were analyzed by UHPLC/ESI-MS/MS. Quarterly averaged concentrations ranged from <0.004-14.1 pg m^-3. Perfluorooctanoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) ranged from <0.18 to 14.1 pg m^-3, comparable to previous PM_2.5 measurements from Canada and Europe (<0.02-3.5 pg m^-3). Concentrations above 1 pg m^-3 were observed in July-September at Charlotte (14.1 pg m^-3, PFOA), Wilmington (4.75 pg m^-3, PFOS), and Research Triangle Park (1.37 pg m^-3, PFOS). Notably, PM_2.5 has a short atmospheric lifetime (<2 weeks), and thus, the presence of PFOS in these samples raises questions about their sources, since PFOS production was phased out in the US ∼20 years ago. This is the first US study to provide insights into ambient PFAS concentrations in PM_2.5.

Frequency of three mutations in the fumonisin biosynthetic gene cluster of Fusarium fujikuroi that are predicted to block fumonisin production

Fusarium fujikuroi is the most prominent pathogen found in rice. In addition to gibberellin, F. fujikuroi produces various secondary metabolites, including the polyketide mycotoxins, fumonisins. Fumonisin production is conferred by the fumonisin biosynthetic gene (FUM) cluster consisting of 15-17 genes. F. fujikuroi is phylogenetically subclassified into one group with fumonisin production (F-group) and another group in which fumonisin production is undetectable (G-group). In a previous study, a G-to-T substitution (FUM21_G2551T) in the FUM cluster transcription factor gene, FUM21, was identified as a cause of fumonisin-non-production in a G-group strain. In the current study, further analysis of G-group strains identified two additional mutations that involved FUM-cluster genes essential for fumonisin production: (1) a 22.4-kbp deletion in the FUM10-FUM19 region; and (2) a 1.4-kbp insertion in FUM6. PCR analysis of 44 G-group strains, indicated that 84% had the FUM21_G2551T mutation, 50% had the 22.4-kbp FUM10-FUM19 deletion, and 32% had the 1.4-kbp insertion in FUM6, and some strains had two or all the mutations. None of the mutations were detected in the 51 F-group strains examined. Each of the three mutations alone could account for the lack of fumonisin production in G-group strains. However, one G-group strain did not have any of the mutations. Therefore, another mutation(s) is likely responsible for the lack of fumonisin production in some G-group strains of F. fujikuroi.

Prediction for cardiac prognosis in patients with congestive heart failure by machine learning on dual-isotope myocardial semiconductor SPECT

Background

Dual-isotope (low doze 201TlCl and 123I-β-methyl-P-iodophenyl-pentadecanoic acid (BMIPP)) single photon emission computed tomography (SPECT) is utilized to estimate myocardial damage in patients with congestive heart failure (CHF). However, predictive model construction on the SPECT for cardiac death by machine learning was not studied.

Purpose

To elucidate predictive value of machine learning model on dual-isotope SPECT for CHF.

Methods

We enrolled consecutive 310 patients who admitted with CHF (77.1±3.1 years, 164 males). After initial treatment, they underwent electrocardiography gated SPECT and observed in median 507 days [IQR: 165, 1032]. Multivariate Cox regression analysis for cardiac death was performed, and predictive model was constructed by ROC curve analysis and machine learning (Random Forest and Deep Learning). The accuracies (= [True positive + True negative] / Total) of the prediction models were compared with ROC curve model.

Results

Thirty-six patients fell into cardiac death. Cox analysis showed Age, left ventricular ejection fraction (LVEF), summed rest score (SRS) of BMIPP, and mismatch score were significant predictors (Hazard ratio: 1.068, 0.970, 1.032, 1.092, P value: &lt;0.001, 0.014, 0.002, &lt;0.001, respectively). ROC curve analysis of them revealed the accuracy of the cut-off value was 0.479–0.773. Conversely, machine learning model demonstrated higher accuracy for cardiac death (Random Forest: 0.895, Deep Learning: 0.935). The top 4 feature importance of the random forest were LVEF (0.299), SRS BMIPP (0.263), Age (0.262), and mismatch score (0.160).

Conclusion

Machine learning model on SPECT was superior to conventional statistic model for predicting cardiac death in patients with CHF.

Funding Acknowledgement

Type of funding source: None

Impact of glucose tolerance status on the relationship between vascular endothelial growth factor D and mortality in patients with suspected coronary artery disease: a subanalysis of the ANOX study

Background

Vascular endothelial growth factor D (VEGF-D) is a secreted glycoprotein that can act as lymphangiogenic and angiogenic growth factors through binding to its specific receptors, VEGFR-3 and VEGFR-2. VEGF-D signaling via VEGFR-3 plays an important role in lipoprotein metabolisms which may contribute to coronary artery disease (CAD). We recently reported that serum levels of VEGF-D are independently associated with mortality in patients with suspected or known CAD. However, the impact of glucose tolerance status on the relationship between VEGF-D and mortality in patients with suspected CAD is unclear.

Methods

Serum VEGF-D levels were measured in 1,717 patients with suspected CAD undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict CV events (ANOX) study, and followed up for 3 years. After excluding 67 patients with no HbA1c data, 1,650 patients were divided into 3 groups according to the glucose tolerance status: diabetes (DM, n=693), prediabetes (preDM, n=541) defined as an HbA1c of 5.7 to 6.4%, and normal glucose tolerance (NGT, n=416) defined as an HbA1c of 5.6% or less. The outcomes were total death, CV death, and major adverse CV events (MACE) defined as a composite of CV death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During the follow-up, 80 DM, 45 preDM, and 30 NGT patients died from any cause, 24 DM, 13 preDM, and 12 NGT died from CV disease, and 54 DM, 30 preDM, and 19 NGT developed MACE. After adjustment for established risk factors, VEGF-D levels were significantly associated with total death (hazard ratio [HR] for 1-SD increase, 1.28; 95% confidence interval [CI], 1.12–1.47), but not with CV death (HR, 1.20; 95% CI, 0.93–1.52) or MACE (HR, 1.23; 95% CI, 0.997–1.48) in DM; VEGF-D levels were not significantly associated with total death (HR, 0.97; 95% CI, 0.70–1.34), CV death (HR, 1.39; 95% CI, 0.92–2.11), or MACE (HR, 1.09; 95% CI, 0.74–1.50) in preDM; VEGF-D levels were not significantly associated with total death (HR, 1.34; 95% CI, 0.98–1.84), CV death (HR, 1.32; 95% CI, 0.78–2.13), or MACE (HR, 1.01; 95% CI, 0.66–1.46) in NGT. Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of VEGF-D levels further improved the prediction of total death (P=0.040 for continuous net reclassification improvement [NRI], P=0.007 for integrated discrimination improvement [IDI]), but not that of CV death or MACE in DM, while it did not significantly improved the prediction of total death, CV death, or MACE either in preDM or in NGT.

Conclusions

The VEGF-D level was independently associated with total death in DM, but not in preDM or in NGT. The relationship between VEGF-D and total mortality may depend on the presence of DM in patients with suspected CAD.

Funding Acknowledgement

Type of funding source: Public Institution(s). Main funding source(s): The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.

Validation and comparison of BIOSTAT risk score and AHEAD score for patients with acute heart failure

Background/Introduction

Acute heart failure (AHF) is one of the major causes of mortality, and identifying the patients at high risk of mortality at the time of admission is crucial to improve clinical outcomes. Although some risk prediction models for patients with AHF have been proposed mainly from randomized clinical trials, the patients in such studies tend not to be similar to those in the real world. Recently, BIOSTAT risk score and AHEAD score derived from two large-scale registry dataset are proposed as useful risk stratification tools for patients with AHF. However, these scores have not been well externally validated and their prognostic prediction performance has not been directly compared.

Purpose

To validate and compare prognostication of BIOSTAT risk score and AHEAD score in AHF patients.

Methods

Patients who consecutively admitted to the cardiac intensive-care unit in our institution with a diagnosis of AHF from 2007 to 2011 were analyzed. Among them, patients with acute coronary syndrome, dialysis, malignancy were excluded. BIOSTAT risk score was calculated using 5 factors (age, blood urea nitrogen, BNP, hemoglobin, prescription of beta blockers), and AHEAD score was also calculated with 5 factors (atrial fibrillation, hemoglobin, age, creatinine, and diabetes mellitus). We also developed AHEAD + BNP model incorporating BNP into AHEAD score. Endpoint was 1-year all-cause death.

Results

Overall, 591 eligible patients were enrolled (mean age was 70±14 years old, 64.8% were male) and 96 patients (16.2%) died during the follow-up of 1-year. The median [interquartile range] of AHEAD score and BIOSTAT risk score were 2 [1–3] and 3 [2–4], respectively. The areas under the curves of receiver operating characteristic curve (AUC) were 0.66 for AHEAD, 0.68 for AHEAD + BNP, and 0.72 for BIOSTAT, respectively. The calibration plots for AHEAD, AHEAD + BNP, and BIOSTAT models showed good calibration (Hosmer-Lemeshow test: p=0.89, 0.74, and 0.74, respectively). The BIOSTAT model's AUC was significantly higher compared to AHEAD (p=0.018) and marginally statistically higher compared to AHEAD + BNP (p=0.054). However, BIOSTAT model showed statistically significant net reclassification improvement compared to both AHEAD (NRI: 0.43, p&lt;0.001) and AHEAD + BNP (NRI: 0.43, p&lt;0.001).

Conclusion

The BIOSTAT score comprised of five readily available clinical variables predict 1-year mortality of patients with AHF with good discrimination and calibration.

ROC curves

Funding Acknowledgement

Type of funding source: None

The comparison of the chronic-phase vascular healing between bioabsorbable and durable polymer drug eluting stent by using optical coherence tomography

Background

Bioabsorbable polymer drug eluting stents (BP-DESs) were designed to reduce a vascular inflammatory reaction compared to durable polymer drug eluting stents (DP-DESs). However, few studies have compared vascular responses to BP-DESs and DP-DESs.

Methods

We enrolled 88 consecutive patients with single culprit coronary artery lesions (31 lesions with acute coronary syndrome) undergoing a single stent-implantation. BP-DESs and DP-DESs were implanted in 50 (57%) and 38 patients (43%), respectively. All lesions underwent optical coherence tomography examination at chronic phase and intrastent OCT findings at the follow-up were evaluated in every 1-mm cross-sections (CSs).

Results

A total of 1887 CSs (BP-DES: 1096, DP-DES: 791) were analyzed. The median period of follow-up OCT was 293 (250–374) days. There were no differences in the patient, lesion, and initial clinical presentation of acute coronary syndrome (ACS). BP-DESs had significantly higher percent neointimal hyperplasia area, defined as neointimal hyperplasia area divided by stent area x 100 (18.4±9.0% vs. 16.1±9.9%, p&lt;0.001), fewer malapposed struts (1.7% vs. 3.9%, p=0.005), fewer uncovered struts (3.6% vs. 5.8%, p=0.02) but higher frequency of superficial low intensity neointima (LIN) (7.7% vs. 3.4%, p&lt;0.001). Multivariate logistic analysis showed that BP-DES (OR: 2.5, 95% CI: 1.49–4.08, p&lt;0.001) and the initial clinical presentation of ACS (OR: 2.31, 95% CI: 1.47–3.62, p&lt;0.001) are independent predictive factors for LIN.

Conclusion

BP-DESs showed homogenous neointimal growth and complete stent coverage quantitatively. Meanwhile, the significant relationships of BP-DES with LIN may suggest that the neointimal quality remains immature in BP-DESs in this period.

Funding Acknowledgement

Type of funding source: None

Impact of anemia on the relationship between vascular endothelial growth factor C and mortality in patients with suspected or known coronary artery disease: a subanalysis of the ANOX study

Background

The lymphatic system has been suggested to play an important role in cholesterol metabolism and cardiovascular (CV) disease. Recently, we demonstrated that serum levels of vascular endothelial growth factor C (VEGF-C), a central player of lymphangiogenesis, are inversely and independently associated with the risk of all-cause mortality in patients with suspected or known coronary artery disease (CAD). However, the impact of anemia on the relationship between VEGF-C and mortality in those patients is unclear.

Methods

Serum VEGF-C levels were measured in 2,418 patients with suspected or known CAD undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict CV events (ANOX) study, and followed up for 3 years. Anemia was defined as a hemoglobin level of less than 13 g/dL in men and &lt;12 g/dL in women. Patients were divided into 2 groups according to the presence (anemic, n=882) or absence (non-anemic, n=1,536) of anemia. The primary outcome was all-cause death. The secondary outcomes were CV death, and major adverse CV events (MACE) defined as a composite of CV death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During the follow-up, 164 anemic and 90 non-anemic patients died from any cause, 64 anemic and 24 non-anemic patients died from CV disease, and 96 anemic and 69 non-anemic patients developed MACE. After adjustment for established risk factors, VEGF-C levels were significantly and inversely associated with all-cause death (hazard ratio [HR] for 1-SD increase, 0.71; 95% confidence interval [CI], 0.59–0.84), CV death (HR, 0.60; 95% CI, 0.44–0.79), and MACE (HR, 0.76; 95% CI, 0.60–0.95) in anemic, while VEGF-C levels were not significantly associated with all-cause death (HR, 0.87; 95% CI, 0.69–1.11), CV death (HR, 1.32; 95% CI, 0.85–1.93), or MACE (HR, 1.12; 95% CI, 0.87–1.42) in non-anemic patients. Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of VEGF-C levels further improved the prediction of all-cause death (P&lt;0.001 for continuous net reclassification improvement [NRI], P=0.006 for integrated discrimination improvement [IDI]) and CV death (P&lt;0.001 for NRI, P=0.005 for IDI), but not that of MACE (P=0.021 for NRI, P=0.059 for IDI) in anemic, whereas the addition of VEGF-C levels did not improved the prediction of all-cause death (P=0.234 for NRI, P=0.415 for IDI), CV death (P=0.190 for NRI, P=0.392 for IDI) or MACE (P=0.897 for NRI, P=0.128 for IDI) in non-anemic patients.

Conclusions

The VEGF-C level was inversely and independently associated with all-cause and CV mortality in anemic, but not in non-anemic patients with suspected or known CAD. The inverse relationship between VEGF-C and mortality may depend on the presence of anemia.

Funding Acknowledgement

Type of funding source: Public Institution(s). Main funding source(s): The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.

Impact of chronic kidney disease on the relationship between vascular endothelial growth factor C and mortality in patients with suspected coronary artery disease: a subanalysis of the ANOX study

Background

The lymphatic system has been suggested to play an important role in cholesterol metabolism and cardiovascular (CV) disease. Recently, we demonstrated that serum levels of vascular endothelial growth factor C (VEGF-C), a central player of lymphangiogenesis, are inversely and independently associated with the risk of all-cause mortality in patients with suspected or known coronary artery disease (CAD). However, the impact of chronic kidney disease (CKD) on the relationship between VEGF-C and mortality in patients with suspected CAD is unclear.

Methods

Serum VEGF-C levels were measured in 1,717 patients with suspected but no history of CAD undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict CV events (ANOX) study, and followed up for 3 years. Patients were divided into 2 groups according to the presence (CKD, n=674) or absence (non-CKD, n=1,043) of CKD. The primary outcome was all-cause death. The secondary outcomes were CV death, and major adverse CV events (MACE) defined as a composite of CV death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During the follow-up, 95 CKD and 66 non-CKD patients died from any cause, 37 CKD and 13 non-CKD died from CV disease, and 61 CKD and 43 non-CKD developed MACE. After adjustment for established risk factors, VEGF-C levels were significantly and inversely associated with all-cause death (hazard ratio [HR] for 1-SD increase, 0.72; 95% confidence interval [CI], 0.57–0.90) and CV death (HR, 0.69; 95% CI, 0.48–0.97), but not with MACE (HR, 0.78; 95% CI, 0.60–1.03) in CKD, while VEGF-C levels were significantly and inversely associated with all-cause death (HR, 0.69; 95% CI, 0.52–0.91), but not with CV death (HR, 0.91; 95% CI, 0.50–1.66) or MACE (HR, 1.09; 95% CI, 0.81–1.44) in non-CKD. Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of VEGF-C levels further improved the prediction of all-cause death (P=0.047 for continuous net reclassification improvement [NRI], P=0.048 for integrated discrimination improvement [IDI]), but not that of CV death (P=0.016 for NRI, P=0.245 for IDI) or MACE (P=0.166 for NRI, P=0.311 for IDI) in CKD, whereas the addition of VEGF-C levels did not improve the prediction of all-cause death (P=0.053 for NRI, P=0.012 for IDI), CV death (P=0.864 for NRI, P=0.602 for IDI) or MACE (P=0.999 for NRI, P=0.154 for IDI) in non-CKD.

Conclusions

The VEGF-C level inversely and independently predicted all-cause mortality in CKD, but not in non-CKD patients with suspected CAD. The inverse relationship between VEGF-C and all-cause mortality in patients with suspected CAD seems to be remarkable in the presence of CKD.

Funding Acknowledgement

Type of funding source: Public Institution(s). Main funding source(s): The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.

Optical coherence tomography findings in healed vulnerable plaques in patients with coronary artery disease

Background

Histopathological analysis or intracoronary image assessment of healed plaques (HPs) has been reported both in acute coronary syndrome (ACS) and stable angina pectoris (SAP) patients. However, background characteristics or lesion morphologies of HPs could not be fully clarified and their differences according to the clinical status remain undetermined.

Purpose

We sought to investigate the clinical and morphological characteristics and compare their differences among ACS and SAP patients in order to clarify the clinical significance in HPs lesions.

Methods

We enrolled consecutive 201 patients with 213 native coronary artery lesions (139 lesions with SAP, 42 ST elevation-ACS (STE-ACS) and 32 non-ST elevation ACS (NSTE-ACS) undergoing pre-intervention optical coherence tomography (OCT). HPs was defined as layered phenotype on OCT. Clinical and angiography characteristics and lesion morphologies on OCT were assessed.

Results

HPs were observed in 110 lesions (51.6%) and their prevalence were not different according to the clinical status (SAP:55.1%, STE-ACS:38.1%, NSTE-ACS:56.3%, p=0.14). Lesions with HPs had higher frequencies of angiography-eccentric lesions (62.7% vs. 35.9%, p&lt;0.001) and OCT-macrophages (65.5% vs. 43.1%, p&lt;0.001), and greater OCT-lumen area stenosis (%-AS) (77.1±10.2% vs. 73.6±10.6%, p=0.01) than those without HPs. Of lesions with HPs, OCT-thin-cap fibroatheroma (SAP 14.4%, STE-AC43.8%, NSTE-ACS 16.7%, p=0.03), plaque rupture (5.3%; 37.5%; 11.1%, p&lt;0.001) and thrombus (6.6%, 75.0%, 22.2%, p=0.007) were more frequently observed in STE-ACS than in SAP patients, whereas OCT-microvessels were more frequent in SAP than in ACS patients (19.7%, 0.0%, 0.0%, p=0.02). Other OCT findings such as macrophages, cholesterol crystal, multiple layered phenotype, and %-AS were not significantly different according to the clinical status. Multivariate logistic regression analysis identified the angiography-eccentric lesions (odds ratio (OR): 2.97, 95% confidence intervals (CI): 1.68–5.25, p&lt;0.001) and OCT macrophages (OR 2.41, 95% CI 1.36–4.27, p=0.003) as independent related factors for the existence of HPs.

Conclusions

The present study showed that HPs lesions had eccentric and large plaque burden, and persistent plaque inflammations regardless of clinical status, which might lead to future coronary events.

Funding Acknowledgement

Type of funding source: None

Impact of anemia on the relationships of growth differentiation factor 15 with mortality and cardiovascular events in patients with suspected or known coronary artery disease: the ANOX study

Background

Growth differentiation factor 15 (GDF-15) is a stress-responsive cytokine that plays an important role in the regulation of the inflammatory response, growth and cell differentiation. An elevated GDF-15 was found in various conditions including anemia and stable coronary artery disease (CAD), and it was reported to predict mortality and cardiovascular (CV) events in general population and in patients with established CAD. However, the impact of anemia on the relationships of GDF-15 with mortality and CV events in patients with suspected or known CAD is unclear.

Methods

Serum GDF-15 levels were measured in 2,418 patients with suspected or known CAD undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict CV events (ANOX) study, and followed up for 3 years. Anemia was defined as a hemoglobin level of less than 13 g/dL in men and &lt;12 g/dL in women. Patients were divided into 2 groups according to the presence (anemic, n=882) or absence (non-anemic, n=1,536) of anemia. The primary outcome was all-cause death. The secondary outcomes were CV death, and major adverse CV events (MACE) defined as a composite of CV death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During the follow-up, 164 anemic and 90 non-anemic patients died from any cause, 64 anemic and 24 non-anemic patients died from CV disease, and 96 anemic and 69 non-anemic patients developed MACE. After adjustment for established risk factors, GDF-15 levels were significantly associated with all-cause death (hazard ratio [HR] for 1-SD increase, 1.75; 95% confidence interval [CI], 1.51–2.04), CV death (HR, 1.67; 95% CI, 1.30–2.13), and MACE (HR, 1.46; 95% CI, 1.18–1.81) in anemic, while GDF-15 levels were also significantly associated with all-cause death (HR, 1.47; 95% CI, 1.27–1.69), CV death (HR, 1.56; 95% CI, 1.18–1.99), and MACE (HR, 1.25; 95% CI, 1.004–1.50) in non-anemic patients. Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of GDF-15 levels further improved the prediction of all-cause death (P&lt;0.001 for continuous net reclassification improvement [NRI], P&lt;0.001 for integrated discrimination improvement [IDI]), CV death (P=0.026 for NRI, P=0.023 for IDI), and MACE (P=0.025 for NRI, P=0.042 for IDI) in anemic, whereas it did not improved the prediction of all-cause death (P=0.072 for NRI, P=0.079 for IDI), CV death (P=0.289 for NRI, P=0.179 for IDI) or MACE (P=0.397 for NRI, P=0.230 for IDI) in non-anemic patients.

Conclusions

The GDF-15 level significantly improved the prediction of all-cause death, CV death, and MACE in anemic, but not in non-anemic patients with suspected or known CAD. The relationships of GDF-15 with mortality and CV events seem to be remarkable in the presence of anemia.

Funding Acknowledgement

Type of funding source: Public Institution(s). Main funding source(s): The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.

Optical coherence tomography and coronary angioscopy assessment of healed vulnerable plaque components in patients with coronary artery lesions undergoing elective percutaneous coronary intervention

Background

Many vulnerable plaques would progress without clinical events and might result in healed plaques (HPs). Histopathological or intracoronary image assessment of HPs has been reported. However, the morphological characteristics of HPs remain unclear yet.

Purpose

We sought to assess the healed vulnerable plaque components in patients with coronary artery lesions using optical coherence tomography (OCT) and coronary angioscopy (CAS).

Methods

We enrolled 47 patients with 50 native coronary artery lesions with angiographical severe stenosis (&gt;90% diameter-stenosis) and without severe calcification (36 lesions with stable angina pectoris (SAP) and 14 acute coronary syndrome (ACS)) undergoing pre-intervention OCT and CAS. HPs was defined as layered phenotype on OCT. Lesion morphologies and plaque characteristics in lesions with HPs were assessed using OCT and CAS images.

Results

HPs were observed in 27 lesions (54.0%) and their prevalence were similar among each clinical status (SAP 52.8%, ACS 57.1%, p=1.00). Lesions with HPs had higher prevalence of OCT-macrophage (88.0% vs. 52.0%, p=0.01), CAS-red thrombus (88.8% vs. 52.2%, p=0.004) and CAS-low grade-yellow plaque (grade 1) (55.6% vs. 21.7%, p=0.02) than those without. SAP lesions with HPs had higher prevalence of CAS-yellow plaque (35.3% vs. 5.9%, p=0.09) and OCT-thin-cap fibroatheroma (42.1% vs. 5.9%, p=0.04) than SAP without HPs. ACS lesions with HPs had less CAS-red thrombus (0.0% vs. 50.0%, p=0.03) and OCT-plaque rupture (12.5% vs. 66.7%, p=0.04) than ACS without HPs. Multivariate logistic regression analysis revealed that OCT-macrophages (odds ratio (OR): 6.65, 95%-confidence intervals: 1.07–41.5, p=0.043), CAS-red thrombus (OR 8.77, 95% CI 1.33–57.8, p=0.02), and low grade-yellow plaque (OR 13.05, 95% CI 1.97–86.5, p=0.008) were independently related with the existence of HPs lesions. Combination of these 3 factors showed a high predictive value of OCT-HPs lesions (90.9%).

Conclusions

HPs lesions showed the lower lesion vulnerability than common ACS lesions but had more intraplaque inflammatory condition compared with common SAP lesions. Combined CAS and OCT examination might be useful to clarify the plaque components of HPs lesions in vivo, leading to help us understand the clinical significance of HPs.

Funding Acknowledgement

Type of funding source: None

Differences of ST level at J-point on 12-lead electrocardiography can distinguish takotsubo syndrome and acute anterior myocardial infarction

Background

Qualitative difference of ST elevation/depression on 12-leads electrocardiography (ECG) at onset was reported in patients with Takotsubo syndrome (TTS) and acute anterior myocardial infarction (ant AMI). However, quantitative difference of those was not elucidated.

Purpose

To investigate differences of ST level at J point on ECG between TTS and ant AMI by automated calculating system.

Methods

We firstly enrolled consecutive 40 patients of TTS, and among 500 ant AMI patients, one to two random matching was done by their age and gender. Finally, 40+80 patients (74.5±11.2 years, 87 females) were enrolled. ECG at onset of both group was measured by automated system (ECAPs12c: Nihon-Koden).

Results

ST level of TTS at J-point in I/II/V4–6 lead was significantly elevated comparing to that of ant AMI. Conversely, Conversely, significant ST depression in aVR and no ST elevation in V1 of TTS was observed in TTS. Logistic regression analysis revealed that ST elevation in I lead and no ST elevation in V1 lead showed high odds ratio and low P value.

Conclusion

Automated measured ST level at J-point was a powerful tool to distinguish TTS and ant AMI at onset.

Funding Acknowledgement

Type of funding source: None

Diagnostic performance of 18-leads electrocardiography to distinguish takotsubo syndrome and acute anterior myocardial infarction

Background

Electrocardiographic (ECG) features on acute phase of Takotsubo syndrome (TTS) is recognized to mimic that of acute anterior myocardial infarction (ant AMI). However, the difference of synthesized 18-leads ECG of both diseases was not elucidated.

Purpose

To elucidate diagnostic performance of 18-leads ECG to distinguish TTS and acute anterior AMI.

Methods

We firstly enrolled consecutive 40 patients of TTS, and among 500 ant AMI patients, one to two matching was done by their age and gender. Finally, 40+80 patients (74.5±11.2 years, 87 females) were enrolled, and ECG at onset of both group was estimated. Because of multicollinearity, all significant differences were compared by machine learning (Random Forest method).

Results

Prevalence of Q wave had no difference. Conversely, ST depression in TTS and ST elevation in ant AMI were significant differences in V7–9 leads. T-wave polarity of V3R-V9 leads were significantly different (flat T-wave in TTS and positive in ant AMI). Machine learning revealed T wave polarity in V7 lead had the highest feature importance.

Conclusion

18-leads ECG at onset had powerful diagnostic performance to distinguish the two diseases.

Funding Acknowledgement

Type of funding source: None

Impact of smoking status on the relationships of growth differentiation factor 15 with mortality and cardiovascular events in patients with suspected or known coronary artery disease: the ANOX study

Background

Growth differentiation factor 15 (GDF-15) is a stress-responsive cytokine that plays an important role in the regulation of the inflammatory response, growth and cell differentiation. An elevated GDF-15 was found in various conditions including cigarette smoking and stable coronary artery disease (CAD), and it was reported to predict mortality and cardiovascular (CV) events in general population and in patients with established CAD. However, the impact of smoking status on the relationships of GDF-15 with mortality and CV events in patients with suspected or known CAD is unclear.

Methods

Serum GDF-15 levels were measured in 2,418 patients with suspected or known CAD undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict CV events (ANOX) study, and followed up for 3 years. Patients were divided into 3 groups according to the smoking status: current (n=428), past (n=1,035), and never smokers (n=955). The outcomes were total death, CV death, and major adverse CV events (MACE) defined as a composite of CV death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During the follow-up, 48 current, 120 past, and 86 never smokers died from any cause, 17 current, 47 past, and 24 never smokers died from CV disease, and 35 current, 80 past, and 50 never smokers developed MACE. After adjustment for established risk factors, GDF-15 levels were significantly associated with total death (hazard ratio [HR] for 1-SD increase, 1.30; 95% confidence interval [CI], 1.03–1.65), but not with CV death (HR, 1.09; 95% CI, 0.69–1.62) or MACE (HR, 0.95; 95% CI, 0.64–1.34) in current smokers; GDF-15 levels were significantly associated with total death (HR, 1.73; 95% CI, 1.46–2.05) and CV death (HR, 1.41; 95% CI, 1.09–1.85), but not with MACE (HR, 1.20; 95% CI, 0.96–1.48) in past smokers; GDF-15 levels were significantly associated with total death (HR, 1.62; 95% CI, 1.32–1.95), CV death (HR, 1.76; 95% CI, 1.22–2.46), and MACE (HR, 1.64; 95% CI, 1.27–2.07) in never smokers. Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of GDF-15 levels further improved the prediction of total death (P&lt;0.001 for continuous net reclassification improvement [NRI], P=0.001 for integrated discrimination improvement [IDI]) and MACE (P&lt;0.001 for NRI, P=0.045 for IDI), but not that of CV death, in never smokers, while it did not significantly improved the prediction of total death, CV death, or MACE either in current or in past smokers.

Conclusions

The GDF-15 level was independently associated with total death and MACE in never, but not in current or past smokers with suspected or known CAD. The relationships of GDF-15 with mortality and CV events seem to be attenuated by the presence of current and past smoking.

Funding Acknowledgement

Type of funding source: Public Institution(s). Main funding source(s): The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.

P4386Prognostic value of pressure-strain curve analysis by echocardiography for cardiac death in patients with congestive heart failure

Background

Pressure-strain curve analysis (PS-curve) is novel method of echocardiographic evaluation for left ventricular (LV) systolic myocardial work including the effect of blood pressure. However, the prognostic value of PS-curve for prospective cardiac death in patients with congestive heart failure (CHF).

Purpose

To elucidate the prognostic value of PS-curve analysis for cardiac death in patients with CHF.

Methods

We enrolled 63 consecutive sinus-rhythm patients with CHF admission who were evaluated by PS-curve analysis before discharge (76.0±13.3 years, 39 males). Endpoint was set as all cardiac death.

Results

Observation period was median 327 days [25%: 91, 75%: 656 days], and the longest period was 1004 days. Five patients died for cardiac causes. Multivariate Cox regression analysis (stepwise regression) revealed diastolic blood pressure (BP) and global constructive work (GCW) were independent predictors (Hazard ratio: 0.854, 0.996, P value: 0.016, 0.019, respectively). ROC curve analysis demonstrated GCW ≤601 had high diagnostic performance for cardiac death (specificity 0.891, sensitivity 0.800, area under ROC 0.824). Kaplan-Meyer curve analysis indicated the group with GCW ≤601 was worse cardiac prognosis (Logrank P<0.001).

Cox Hazard Regression Analysis Univariate Multivariate (stepwise regression) Hazard Ratio 95% CI P Hazard Ratio 95% CI P BP systole (mmHg) 0.915 0.85–0.99 0.026 BP diastole (mmHg) 0.915 0.84–0.99 0.043 0.854 0.75–0.97 0.016 LVDd (mm) 1.064 1.01–1.12 0.025 NA LVDs (mm) 1.066 1.01–1.12 0.016 LVEF (%) 0.963 0.91–1.02 0.221 LAD (mm) 1.197 1.06–1.36 0.005 GWE 0.937 0.88–0.99 0.041 GWI 0.998 0.99–0.99 0.041 NA GCW 0.998 0.99–0.99 0.037 0.996 0.99–0.99 0.019 GWW 0.996 0.98–1.01 0.502 Considering multicollinearity, we excluded GWI and LVDd (correlation coefficient: GWI and GCW = 0.979, LVDd and LVDs = 0.942).

Conclusion

Pressure-strain curve analysis had powerful predictive value for cardiac death in patients with CHF.

P1645Vascular endothelial growth factor-D and mortality in suspected or known coronary heart disease patients with a history of heart failure: a subanalysis of the ANOX study

Background

Vascular endothelial growth factor-D (VEGF-D) is a secreted glycoprotein that can act as lymphangiogenic and angiogenic growth factors through binding to its specific receptors, VEGFR-3 (Flt-4) and VEGFR-2 (KDR/Flk-1). VEGF-D signaling via VEGFR-3 plays an important role in lipoprotein metabolisms which may contribute to coronary heart disease (CHD). Recent studies suggest that VEGF-D appears to be a biomarker of pulmonary congestion and heart failure in both dyspnea patients and the general population. However, the prognostic value of VEGF-D in suspected or known CHD patients with a history of heart failure is unknown.

Methods

Serum VEGF-D levels were measured in 253 suspected or known CHD patients with a history of heart failure undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict cardiovascular events (ANOX) study, and followed up for 3 years. The primary outcome was all-cause death. The secondary outcomes were cardiovascular death, and major adverse cardiovascular events (MACE) defined as a composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During the follow-up, 54 patients died from any cause, 24 died from cardiovascular disease, and 35 developed MACE. After adjustment for established risk factors, VEGF-D levels were significantly associated with all-cause death (hazard ratio [HR] for 1-SD increase, 1.44; 95% confidence interval [CI], 1.18–1.75), cardiovascular death (HR, 1.73; 95% CI, 1.32–2.25), and MACE (HR, 1.49; 95% CI, 1.14–1.89). Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin-I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of VEGF-D levels further improved the prediction of all-cause death (continuous net reclassification improvement [NRI], 0.471; 95% CI, 0.176–0.766; P=0.002; integrated discrimination improvement [IDI], 0.036; 95% CI, 0.008–0.064; P=0.011) and cardiovascular death (NRI, 0.722; 95% CI, 0.326–1.118; P<0.001; IDI, 0.063; 95% CI, 0.005–0.122; P=0.033), but not that of MACE (NRI, 0.453; 95% CI, 0.100–0.805; P=0.012; IDI, 0.028; 95% CI, −0.007–0.063; P=0.116).

Conclusions

In suspected or known CHD patients with a history of heart failure undergoing elective coronary angiography, elevated VEGF-D levels may predict all-cause and cardiovascular mortality independent of established risk factors and cardiovascular biomarkers.

Acknowledgement/Funding

The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.

P1704The impact of electrocardiographic changes upon resuscitation from out-of-hospital cardiac arrest on mortality

Background

The serial electrocardiographic changes in patients following out-of-hospital cardiac arrest (OHCA) are unclear.

Purpose

To evaluate serial electrocardiographic changes and to predict all-cause mortality in patients following OHCA.

Methods

We retrospectively studied 101 OHCA patients (70±16 years, 49 male) who achieved a return of spontaneous circulation (ROSC) and survived for ≥3hours. Twelve-lead electrocardiograms (ECGs) were evaluated twice in each patient: initial-ECG, after achieving ROSC; and 2nd-ECG, after receiving the initial evaluation in the emergency room. Patients were divided into two groups: S-group, those surviving for 28 days, and D-group, those dying within 28 days. Multivariate Cox regression analyses were performed to predict the 28-day survival following OHCA. A Kaplan-Meier curve analysis for the 28 day mortality stratified by the QRS morphology and rhythm of initial-ECG was performed.

Results

Among variables of initial-ECG, there were significant differences between the group-S and group-D (table). Multivariate analysis with a step-wise regression demonstrated that age, lactate, and QRS duration of the initial-ECG were significant predictors of all-cause mortality (Odds ratio (OR): 1.04, 1.21, 1.02, p: 0.002, 0.001, 0.001, respectively). Kaplan-Meier analysis revealed that a complete right bundle branch block (CRBBB) of initial-ECG and presence of atrial fibrillation were associated with an increased risk of all-cause mortality (Picture).

Serial change of ECG variables Initial-ECG 2nd-ECG Group S Group D p Group S Group D p Heart Rate [/min] 109±23 105±31 0.527 88±21 94±23 0.341 Af [N,%] 10 (25%) 27 (52%) 0.018* 3 (9%) 6 (26%) 0.134 QRS duration [ms] 111±18 139±33 0.001* 107±29 111±30 0.623 Morphology 0.001* 0.284 – Normal [N,%] 30 (75%) 10 (19%) 29 (81%) 14 (61%) – CRBBB [N,%] 5 (13%) 30 (57%) 5 (14%) 5 (22%) – CLBBB [N,%] 1 (2%) 0 0 1 (4%) – IVCD [N,%] 4 (10%) 13 (24%) 2 (6%) 3 (13%) Comparing variables between group S and group D stratified by initial ECG and delayed ECG. QRS morphology were examined, normal, complete right bundle branch block (CRBBB), complete left bundle branch block (CLBBB), and unspecific interventricular conduction delay (IVCD).

Study flow diagram, KM curve analysis

Conclusions

The QRS duration and morphology upon resuscitation were associated with an increased risk of all-cause mortality following OHCA.

P3639Vascular endothelial growth factor-C and mortality in patients with suspected but no history of coronary heart disease: a subanalysis of the ANOX study

Background

The lymphatic system has been suggested to play an important role in cholesterol metabolism and cardiovascular disease. Recently, we demonstrated that serum levels of vascular endothelial growth factor-C (VEGF-C), a central player of lymphangiogenesis, are inversely and independently associated with the risk of all-cause mortality in patients with suspected or known coronary heart disease (CHD). However, the prognostic value of VEGF-C in patients with suspected but no history of CHD is still unclear.

Methods

Serum VEGF-C levels were measured in 1,717 patients with suspected but no history of CHD undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict cardiovascular events (ANOX) study, and followed up for 3 years. The primary outcome was all-cause death. The secondary outcomes were cardiovascular death, and major adverse cardiovascular events (MACE) defined as a composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During the follow-up, 161 patients died from any cause, 50 died from cardiovascular disease, and 104 developed MACE. After adjustment for established risk factors, VEGF-C levels were significantly and inversely associated with all-cause death (hazard ratio [HR] for 1-SD increase, 0.69; 95% confidence interval [CI], 0.58–0.83) and cardiovascular death (HR, 0.72; 95% CI, 0.52–0.998), but not with MACE (HR, 0.91; 95% CI, 0.74–1.13). Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin-I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of VEGF-C levels further improved the prediction of all-cause death (continuous net reclassification improvement [NRI], 0.282; 95% CI, 0.121–0.443; P<0.001; integrated discrimination improvement [IDI], 0.009; 95% CI, 0.003–0.016; P=0.005), but not that of cardiovascular death (NRI, 0.178; 95% CI, r=−0.103–0.458; P=0.214; IDI, 0.004; 95% CI, r=−0.002–0.009; P=0.194) or MACE (NRI, 0.037; 95% CI, r=−0.162–0.235; P=0.717; IDI, 0.000; 95% CI, r=−0.0004–0.0005; P=0.872).

Conclusions

In patients with suspected but no history of CHD undergoing elective coronary angiography, a low VEGF-C value may predict all-cause mortality independent of established risk factors and cardiovascular biomarkers.

Acknowledgement/Funding

The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization

P5643Simple 12-leads electrocardiography can predict cardiac death in patients with complete left bundle branch block

Background

Patients with complete left bundle branch block (CLBBB) generally fall in two categories: CLBBB with good prognosis and poor prognosis. However, a simple electrocardiography (ECG) was considered impossible to predict the two categories.

Purpose

To elucidate the possibility of 12-leads ECG for predicting cardiac prognosis in patients with CLBBB

Methods

To estimate myocardial damage and left ventricular function, the ECG was performed with semiconductor SPECT simultaneously. Among consecutive 5864 patients who underwent ECG gated SPECT, finally 103 sinus-rhythm patients were enrolled. The observed period of them was median 632 days, and primary endpoint was set as cardiac death.

Results

Eight patients fell into cardiac death. Cox univariate analysis showed ventricular activation time (VAT: duration from onset of Q wave to peak of R wave) in V1 lead, T wave amplitude in aVR (aVR T-amp), and multiple fragmented QRS (At least 2 fQRS in LV anterior/inferior/lateral wall), and left ventricular ejection fraction, standard deviation of phase analysis (Phase SD), and summed rest score were significant predictors. After optimization of all significant continuous predictors by ROC curve analysis, all the significant predictors were analyzed by multivariate Cox analysis (stepwise regression). VAT in V1 (Hazard ratio: 4.594, P=0.034), aVR T-amp ≥-85microV (HR: 11.11, P=0.029), and Phase SD≥48.7 (HR6.047, P=0.035) were independent predictors. Kaplan-Meyer curve analysis demonstrated VAT V1≥70 and aVR T amp≥-85 showed the worst prognosis (P=0.008).

Cox Regression after Optimization by ROC Univariate Multivariate (Stepwise regression) HR 95% CI P HR 95% CI P VAT I ≥70 6.861 1.759–26.76 0.006 4.594 1.126–18.75 0.034 T amp in aVR ≥−85 27.34 3.458–216.2 0.002 11.11 1.274–96.85 0.029 Multiple fQRS 3.836 1.081–13.61 0.037 LVEF ≤37% 7.250 1.874–28.04 0.004 SD ≥48.7 17.30 3.671–81.57 <0.001 6.047 1.133–32.28 0.035 SRS≥17 4.178 1.206–14.48 0.024 SD: standard deviation of histogram by phase analysis of SPECT; SRS: summed rest score by myocardial perfusion analysis of SPECT.

Conclusion

Simple 12-leads ECG could predict the prognosis of patients with CLBBB.

5195Growth differentiation factor-15 and mortality in suspected or known coronary heart disease patients with diabetes: a subanalysis of the ANOX study

Background

Diabetes is a risk factor for coronary heart disease (CHD), but further risk stratification in patients with diabetes is necessary to improve the prediction and prevention of cardiovascular events and deaths. Growth differentiation factor-15 (GDF-15) is a stress-responsive cytokine, which plays an important role in the regulation of the inflammatory response, growth and cell differentiation. Elevated GDF-15 was found in various diseases including diabetes and stable CHD, and was reported to predict mortality and cardiovascular events in general or established CHD population. However, the prognostic value of GDF-15 in suspected or known CHD patients with diabetes is unknown.

Methods

Serum GDF-15 levels were measured in 1,087 suspected or known CHD patients with diabetes undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict cardiovascular events (ANOX) study, and followed up for 3 years. The primary outcome was all-cause death. The secondary outcomes were cardiovascular death, and major adverse cardiovascular events (MACE) defined as a composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During the follow-up, 147 patients died from any cause, 47 died from cardiovascular disease, and 94 developed MACE. After adjustment for established risk factors, GDF-15 levels were significantly associated with all-cause death (hazard ratio [HR] for 1-SD increase, 1.66; 95% confidence interval [CI], 1.48–1.86), cardiovascular death (HR, 1.63; 95% CI, 1.34–1.99), and MACE (HR, 1.41; 95% CI, 1.20–1.65). Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin-I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of GDF-15 levels further improved the prediction of all-cause death (continuous net reclassification improvement [NRI], 0.344; 95% CI, 0.172–0.517; P<0.001; integrated discrimination improvement [IDI], 0.049; 95% CI, 0.026–0.072; P<0.001), but not that of cardiovascular death (NRI, −0.013; 95% CI, −0.300–0.274; P=0.931; IDI, 0.023; 95% CI, 0.003–0.043; P=0.026) or MACE (NRI, 0.059; 95% CI, −0.151–0.268; P=0.583; IDI, 0.005; 95% CI, −0.004–0.015; P=0.244).

Conclusions

In suspected or known CHD patients with diabetes undergoing elective coronary angiography, elevated GDF-15 levels may predict all-cause mortality independent of established risk factors and cardiovascular biomarkers.

Acknowledgement/Funding

The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.

P2677A combination of HEART score and a 0-hour/1-hour algorithm for early and safe triage tool for patients in observe zone

Background

The European Society Cardiology guidelines recommend that a 0-hour/1-hour (0–1hr) algorithm using high sensitivity cardiac troponin T (hs-cTnT) improves the early triage of patients with suspected non-ST elevation acute coronary syndrome (NSTE-ACS). However, diagnostic uncertainty remains in the 25–30% of patients assigned to “observe” group.

Purpose

To establish a step wise risk score system using HEART score and 0-hour/1-hour algorithm to identify the low risk group from observation group.

Methods

This study was a prospective, multi-center, observational study of patients with suspected NSTE-ACS admitted to five hospitals in Japan and Taiwan from 2014 to 2018, respectively. We applied the algorithm and calculated HEART score simultaneously. Patients were divided into three groups according to the algorithm: hs-cTnT below 12 ng/L and delta 1 hour below 3 ng/L were the “rule out” group; hs-cTnT at least 52 ng/L or delta 1 hour at least 5 ng/L were in the “rule in” group; the remaining patients were classified as the “observe” group. All patients underwent a clinical assessment the included medical history, physical examination, 12-lead ECG, continuous ECG monitoring, pulse oximetry, standard blood test, chest radiography, cardiac and abdominal ultrasonography. Patients presenting with congestive heart failure, terminal kidney disease on hemodialysis state, arrhythmia, or infection disease (which causes to increase troponin level) were excluded. Thirty-day MACE was defined as acute myocardial infarction, unstable angina (UA), or death.

Results

Of the 1,332 patients enrolled, 933 patients were analyzed after exclusion. NSTE-ACS was the final diagnosis for 122 (13.1%) patients and none of death. The HEART score less than 4 points in observation groups identified as very low risk with a negative predictive value (NPV) of 98.1% (95% confidential interval (CI); 90.1%-100%) and sensitivity of 98.0% (95% CI; 89.6%-100%). There were only one patient (0.5%) with AMI. In case of the HEART score less than 5 points, it could also identify as very low risk with a NPV of 96.7% (95% CI; 90.8%-99.3%%) and sensitivity of 94.1% (95% CI; 83.8%-98.8%). There were only three patients (1.2%) with AMI.

Conclusion

A combination of HEART score and the 0-hour/1-hour algorithm strategy rapidly identified the patient in observation group of 30-day MACE including UA where nor further cardiac testing would be needed.

Acknowledgement/Funding

JSPS KAKENHI Grant Number JP18K09554

P5529Vascular endothelial growth factor-D and mortality in suspected or known coronary heart disease patients with diabetes: a subanalysis of the ANOX study

Background

Diabetes is a risk factor for coronary heart disease (CHD), but further risk stratification in patients with diabetes is necessary to improve the prediction and prevention of cardiovascular events and deaths. Vascular endothelial growth factor-D (VEGF-D) is a secreted glycoprotein that can act as lymphangiogenic and angiogenic growth factors through binding to its specific receptors, VEGFR-3 (Flt-4) and VEGFR-2 (KDR/Flk-1). VEGF-D signaling via VEGFR-3 plays an important role in lipoprotein metabolisms which may contribute to CHD. VEGF-D signaling has been used as a therapeutic target of human diseases such as lymphangioleiomyomatosis and refractory angina. Furthermore, in clinical settings, the VEGF-D level is already established as a diagnostic biomarker for lymphangioleiomyomatosis. However, the prognostic value of VEGF-D in suspected or known CHD patients with diabetes is unknown.

Methods

Serum VEGF-D levels were measured in 1,087 suspected or known CHD patients with diabetes undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict cardiovascular events (ANOX) study, and followed up for 3 years. The primary outcome was all-cause death. The secondary outcomes were cardiovascular death, and major adverse cardiovascular events (MACE) defined as a composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During the follow-up, 147 patients died from any cause, 47 died from cardiovascular disease, and 94 developed MACE. After adjustment for established risk factors, VEGF-D levels were significantly associated with all-cause death (hazard ratio [HR] for 1-SD increase, 1.34; 95% confidence interval [CI], 1.21–1.47), cardiovascular death (HR, 1.40; 95% CI, 1.18–1.62), and MACE (HR, 1.22; 95% CI, 1.07–1.40). Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin-I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of VEGF-D levels further improved the prediction of all-cause death (continuous net reclassification improvement [NRI], 0.258; 95% CI, 0.088–0.429; P=0.003; integrated discrimination improvement [IDI], 0.013; 95% CI, 0.002–0.024; P=0.022), but not that of cardiovascular death (NRI, 0.046; 95% CI, −0.245–0.336; P=0.759; IDI, 0.013; 95% CI, −0.005–0.031; P=0.146) or MACE (NRI, 0.064; 95% CI, −0.146–0.274; P=0.552; IDI, 0.001; 95% CI, −0.002–0.004; P=0.557).

Conclusions

In suspected or known CHD patients with diabetes undergoing elective coronary angiography, elevated VEGF-D levels may predict all-cause mortality independent of established risk factors and cardiovascular biomarkers.

Acknowledgement/Funding

The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization

P5526Vascular endothelial growth factor-D and mortality in suspected or known coronary heart disease patients with chronic kidney disease: a subanalysis of the ANOX study

Background

Chronic kidney disease (CKD) is an independent risk factor for the development and progression of coronary heart disease (CHD). Vascular endothelial growth factor-D (VEGF-D) is a secreted glycoprotein that can act as lymphangiogenic and angiogenic growth factors through binding to its specific receptors, VEGFR-3 (Flt-4) and VEGFR-2 (KDR/Flk-1). VEGF-D signaling via VEGFR-3 plays an important role in lipoprotein metabolisms which may contribute to CHD. VEGF-D signaling has been used as a therapeutic target of human diseases such as lymphangioleiomyomatosis and refractory angina. Furthermore, in clinical settings, the VEGF-D level is already established as a diagnostic biomarker for lymphangioleiomyomatosis. However, the prognostic value of VEGF-D in suspected or known CHD patients with CKD is unknown.

Methods

Serum VEGF-D levels were measured in 999 suspected or known CHD patients with CKD undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict cardiovascular events (ANOX) study, and followed up for 3 years. The primary outcome was all-cause death. The secondary outcomes were cardiovascular death, and major adverse cardiovascular events (MACE) defined as a composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During the follow-up, 154 patients died from any cause, 61 died from cardiovascular disease, and 96 developed MACE. After adjustment for established risk factors, VEGF-D levels were significantly associated with all-cause death (hazard ratio [HR] for 1-SD increase, 1.41; 95% confidence interval [CI], 1.27–1.56), cardiovascular death (HR, 1.48; 95% CI, 1.28–1.71), and MACE (HR, 1.34; 95% CI, 1.18–1.53). Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin-I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of VEGF-D levels further improved the prediction of all-cause death (continuous net reclassification improvement [NRI], 0.272; 95% CI, 0.100–0.445; P=0.002; integrated discrimination improvement [IDI], 0.015; 95% CI, 0.003–0.027; P=0.013), but not that of cardiovascular death (NRI, 0.230; 95% CI, −0.029 to 0.488; P=0.082; IDI, 0.012; 95% CI, −0.007 to 0.031; P=0.207) or MACE (NRI, 0.102; 95% CI, −0.106 to 0.310; P=0.337; IDI, 0.005; 95% CI, −0.005 to 0.015; P=0.337).

Conclusions

In suspected or known CHD patients with CKD undergoing elective coronary angiography, elevated VEGF-D levels may predict all-cause mortality independent of established risk factors and cardiovascular biomarkers.

Acknowledgement/Funding

The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization

P3765Low vascular endothelial growth factor-C was a predictor for cardiovascular events in patients with atrial fibrillation and suspected or known coronary artery disease: a subanalysis of the ANOX study

Background

Lymphatic system has been considered to play an important role in cardiovascular disease. We recently reported that vascular endothelial growth factor-C (VEGF-C), a central player in lymphangiogenesis, predicted all-cause mortality in patients with suspected or known coronary artery disease (CAD). However, relationship between VEGF-C and atrial fibrillation (AF) remains unclear.

Methods

The ANOX study is a multicenter, prospective cohort study of 2,418 patients with suspected CAD, to determine the predictive value of possible novel biomarkers related to angiogenesis or oxidative stress for major adverse cardiovascular events (MACE) among patients undergoing elective angiography. Blood samples were collected from the arterial catheter sheath at the beginning of coronary angiography. Serum levels of VEGF-C, as well as N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin-I (cTnI), and high-sensitivity C-reactive protein (hsCRP), were measured. The outcome was a MACE defined as a composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke.

Results

Of a total of 2,418 patients, 261 patients had AF at baseline. AF group were older, and had more chronic kidney disease, history of heart failure, and history of stroke, but less diabetes, dyslipidemia, and CAD. The median level of NT-proBNP, cTnI, and hsCRP were higher in AF group [AF vs non-AF: NT-proBNP, 1048 pg/ml vs 162 pg/ml (p<0.0001); cTnI, 0.0003 ng/ml, vs 0.0 ng/ml (p<0.0001); hsCRP, 1.43 ug/ml vs 0.88 ug/ml (p=0.0005)], whereas median level of VEGF-C was lower in AF group [3107 pg/ml vs 3590 pg/ml (p<0.0001)]. AF was associated with lower VEGF-C and higher hsCRP after adjustment for potential confounders. During the 3-year follow-up, 29 (11.1%) patients in AF group and 136 (6.3%) patients in non-AF group developed MACE (p=0.007). Incidence of stroke was higher in AF group (17 (6.5%) vs 52 (2.4%); p<0.0009), despite that the incidence of cardiovascular death and myocardial infarction were similar between the groups. We divided the entire cohort into two groups based on the lowest quartile of VEGF-C or highest quartile of other biomarkers, lowest quartile of VEGF-C (log rank p=0.0004), as well as highest quartile of cTnI (log rank p=0.0009), were significantly associated with MACE in AF group. After adjustment for established risk factors and these biomarkers, both lowest quartile of VEGF-C (HR, 2.73; 95% CI, 1.27–6.06) and highest quartile of cTnI (HR, 2.54; 95% CI, 1.08–6.09) were significantly associated with MACE in AF group.

Conclusions

AF was associated with lower level of VEGF-C, and low VEGF-C as well as high cTnI might serve as an independent predictor of MACE in patients with AF and suspected or known CAD.

P2676Prospective validation of the 2015 ESC 0-hour/1-hour algorithm using high-sensitivity cardiac troponin T in Asian countries

Background/Introduction

Implementation of the 2015 ESC 0-hour/1-hour algorithm using high-sensitivity troponin (hs-cTn) T in Asian countries presents a challenge for clinical practice.

Purpose

We aimed to prospectively validate the 0-hour/1-hour algorithm in Asian countries.

Methods

We conducted a prospective, multi-center, international cohort already utilizing 0-hour/1-hour algorithm using hs-cTnT for evaluation of patients with suspected of non-ST elevation acute coronary syndrome (NSTE-ACS). All patients underwent a clinical assessment the included medical history, physical examination, 12-lead ECG, continuous ECG monitoring, pulse oximetry, standard blood test, chest radiography, cardiac and abdominal ultrasonography. Patients presenting with congestive heart failure, terminal kidney disease on hemodialysis state, arrhythmia, or infection disease (which cause to increase troponin level) were excluded. Patients were divided into three groups according to the algorithm: hs-cTnT below 12 ng/L and delta 1 hour below 3 ng/L were the “rule out” group; hs-cTnT at least 52 ng/L or delta 1 hour at least 5 ng/L were in the “rule in” group; the remaining patients were classified as the “observational” group. The final diagnosis was then adjudicated by 2 independent cardiologists using all available information, including coronary angiography, coronary computed tomography, stress electrocardiography and follow-up data. The presence of acute myocardial infarction (AMI) was defined according to the Fourth Universal Definition of Myocardial Infarction.

Results

Of the 1,332 patients enrolled in 2014 to 2018, 933 patients were analyzed after exclusion. AMI was the final diagnosis for 122 (13.1%) patients. The algorithm ruled out AMI in 401 patients with a negative predictive value and sensitivity of 100% (95% confidential interval [CI], 98.6%-100%) and 100% (95% CI, 94.0%-100%), respectively, in the rule-out group. None of the patients were diagnosed with AMI. Among the 211 patients classified into the rule-in group, 90 were diagnosed as having AMI. The positive predictive value and specificity were 43.1% (95% CI, 36.2%-50.2%) and 78.3% (95% CI, 74.5%-81.7%), respectively. The median length of hospital stay was 159 min (142–180) in rule out group.

Conclusion(s)

Our findings suggest that the 0-hour/1-hour algorithm using hs-cTnT provides very high safety and efficacy for the triage toward rapid rule-out to rule-in of AMI.

Acknowledgement/Funding

JSPS KAKENHI Grant Number JP18K09554

P3635Vascular endothelial growth factor-D and mortality in patients with suspected but no history of coronary heart disease: a subanalysis of the ANOX study

Background

Vascular endothelial growth factor-D (VEGF-D) is a secreted glycoprotein that can act as lymphangiogenic and angiogenic growth factors through binding to its specific receptors, VEGFR-3 (Flt-4) and VEGFR-2 (KDR/Flk-1). VEGF-D signaling via VEGFR-3 plays an important role in lipoprotein metabolisms which may contribute to coronary heart disease (CHD). VEGF-D signaling has been used as a therapeutic target of human diseases such as lymphangioleiomyomatosis and refractory angina. In clinical settings, the VEGF-D level is already established as a diagnostic biomarker for lymphangioleiomyomatosis. However, the prognostic value of VEGF-D in patients with suspected but no history of CHD is unknown.

Methods

Serum VEGF-D levels were measured in 1,717 patients with suspected but no history of CHD undergoing elective coronary angiography, enrolled in the development of novel biomarkers related to angiogenesis or oxidative stress to predict cardiovascular events (ANOX) study, and followed up for 3 years. The primary outcome was all-cause death. The secondary outcomes were cardiovascular death, and major adverse cardiovascular events (MACE) defined as a composite of cardiovascular death, nonfatal myocardial infarction, and nonfatal stroke.

Results

During the follow-up, 161 patients died from any cause, 50 died from cardiovascular disease, and 104 developed MACE. After adjustment for established risk factors, VEGF-D levels were significantly associated with all-cause death (hazard ratio [HR] for 1-SD increase, 1.29; 95% confidence interval [CI], 1.17–1.42), cardiovascular death (HR, 1.37; 95% CI, 1.20–1.56), and MACE (HR, 1.22; 95% CI, 1.08–1.37). Even after incorporation of N-terminal pro-brain natriuretic peptide, contemporary sensitive cardiac troponin-I, and high-sensitivity C-reactive protein into a model with established risk factors, the addition of VEGF-D levels further improved the prediction of all-cause death (continuous net reclassification improvement [NRI], 0.165; 95% CI, 0.004–0.325; P=0.044; integrated discrimination improvement [IDI], 0.012; 95% CI, 0.002–0.023; P=0.013), but not that of cardiovascular death (NRI, 0.078; 95% CI, r=−0.203–0.359; P=0.586; IDI, 0.014; 95% CI, r=−0.009–0.037; P=0.235) or MACE (NRI, r=−0.011; 95% CI, r=−0.207–0.184; P=0.337; IDI, 0.003; 95% CI, r=−0.003–0.009; P=0.354).

Conclusions

In patients with suspected but no history of CHD undergoing elective coronary angiography, elevated VEGF-D levels may predict all-cause mortality independent of established risk factors and cardiovascular biomarkers.

Acknowledgement/Funding

The ANOX study is supported by a Grant-in-Aid for Clinical Research from the National Hospital Organization.