Coronary Calcium Risk Score and Cardiovascular Risk

Evaluating coronary arteries and predicting MACEs using CCTA in lung cancer patients receiving chemotherapy or chemoradiotherapy

BACKGROUND

Whether coronary computed-tomography angiography (CCTA) can detect cancer treatment-related impairments of coronary artery and predict major adverse cardiovascular events (MACEs) in lung cancer patients receiving chemotherapy (CHT) or chemoradiotherapy (CRT) is unclear.

OBJECTIVES

This study aimed to evaluate coronary arteries using CCTA parameters and explore the association of these parameters with MACEs in patients with lung cancer receiving CHT or CRT.

MATERIALS AND METHODS

This study retrospectively collected data from 697 lung cancer patients who received CHT or CRT and underwent CCTA examination within 2 weeks before or after treatment from June 2013 to May 2019. The patients were divided into CHT and CRT group, and for the control group, the propensity score matching (PSM) was used and 125 participants without carcinoma with a single CCTA examination were included. CCTA parameters, assessed using artificial intelligence software, were compared across different groups (control vs. CHT & CRT; CHT vs. CRT). We analyzed associations between CCTA parameters and MACEs using a Cox-regression model and Kaplan-Meier curves to compare MACE-free survival rates.

RESULTS

Before CHT or CRT, compared with the control group, in CHT&CRT group we observed higher fat attenuation index (FAI), coronary-artery calcium (CAC) score, CAD-RADS classification, stenosis severity and lower computed-tomography fractional flow reserve (CT-FFR; all P<0.05). After treatment, the CT-FFR decreased and the FAI increased; simultaneously, we observed a lower CT-FFR and higher FAI (all P<0.05) in the CRT than in the CHT group. Among the 146 cases developed MACEs, lower CT-FFR and higher FAI values were found compared with the non-MACE group (all P<0.05), and CT-FFR and FAI before treatment were associated with MACEs.

CONCLUSION

Cancer treatment-related impairments of coronary arteries could be identified using CT-FFR and FAI. Before treatment, these parameters were associated with MACEs in lung cancer patients receiving CHT or CRT.

Correlation between coronary calcification and cardiac structure in non-dialysis patients with chronic kidney disease

AIMS

We aim to explore the correlation between coronary artery calcification (CAC) score (CACS) and cardiac structure and function in chronic kidney disease (CKD) patients, create a clinical prediction model for severe CAC associated with cardiac ultrasound indexes.

METHODS AND RESULTS

The study included 178 non-dialysis CKD patients who underwent CACS testing and collected general information, serological indices, cardiac ultrasound findings and follow-up on renal function, heart failure (HF) manifestations and re-hospitalization. The mean age of participants in the study cohort was 67.4 years; 59% were male, and 66.9% of patients had varying degrees of comorbid CAC. CKD patients with CACS > 100 were older, predominantly male and had a higher proportion of smoking, diabetes and hypertension (P < 0.05) compared with those with CACS = 0 and 0 < CACS ≤ 100, and had higher brain natriuretic peptide, serum magnesium and fibrinogen levels were also higher (P < 0.05). CACS was positively correlated with left atrial inner diameter (LAD), left ventricular end-diastolic inner diameter (LVDd), left ventricular volume at diastole (LVVd), output per beat (SV) and mitral orifice early diastolic blood flow velocity/early mitral annular diastolic myocardial motion velocity (E/e) (P < 0.05). We tested the associations between varying degrees of CAC and HF and heart valve calcification using multivariable-adjusted regression models. The risk of HF in patients with severe CAC was about 1.95 times higher than that in patients without coronary calcification, and the risk of heart valve calcification was 2.46 times higher than that in patients without coronary calcification. Heart valve calcification and HF diagnosis, LAD and LVDd are essential in predicting severe CAC. During a mean follow-up time of 18.26 ± 10.17 months, 65 (36.52%) patients had a composite renal endpoint event, of which 36 (20.22%) were admitted to renal replacement therapy. Patients with severe CAC had a higher risk of progression of renal function, re-admission due to cardiovascular and renal events and more pronounced symptoms of HF (P < 0.05).

CONCLUSIONS

There is a correlation between CACS and cardiac structure and function in non-dialysis CKD patients, which may mainly involve abnormalities in left ventricular structure and cardiac diastolic function. CAC may affect renal prognosis and quality of survival in CKD patients. Based on clinical information, HF, valvular calcification status and indicators related to left ventricular hypertrophy can identify people at risk for severe CAC.

Empagliflozin ameliorates vascular calcification in diabetic mice through inhibiting Bhlhe40-dependent NLRP3 inflammasome activation

Type 2 diabetes mellitus (T2DM) patients exhibit greater susceptibility to vascular calcification (VC), which has a higher risk of death and disability. However, there is no specific drug for VC therapy. NLRP3 inflammasome activation as a hallmark event of medial calcification leads to arterial stiffness, causing vasoconstrictive dysfunction in T2DM. Empagliflozin (EMPA), a sodium-glucose co-transporter 2 inhibitor (SGLT2i), restrains hyperglycemia with definite cardiovascular benefits. Given the anti-inflammatory activity of EMPA, herein we investigated whether EMPA protected against VC in the aorta of T2DM mice by inhibiting NLRP3 inflammasome activation. Since db/db mice receiving a normal diet developed VC at the age of about 20 weeks, we administered EMPA (5, 10, 20 mg·kg-1·d-1, i.g) to 8 week-old db/db mice for 12 weeks. We showed that EMPA intervention dose-dependently ameliorated the calcium deposition, accompanied by reduced expression of RUNX2 and BMP2 proteins in the aortas. We found that EMPA (10 mg·kg-1·d-1 for 6 weeks) also protected against VC in vitamin D3-overloaded mice, suggesting the protective effects independent of metabolism. We showed that EMPA (10 mg·kg-1·d-1) inhibited the abnormal activation of NLRP3 inflammasome in aortic smooth muscle layer of db/db mice. Knockout (KO) of NLRP3 significantly alleviated VC in STZ-induced diabetic mice. The protective effects of EMPA were verified in high glucose (HG)-treated mouse aortic smooth muscle cells (MOVASs). In HG-treated NLRP3 KO MOVASs, EMPA (1 μM) did not cause further improvement. Bioinformatics and Western blot analysis revealed that EMPA significantly increased the expression levels of basic helix-loop-helix family transcription factor e40 (Bhlhe40) in HG-treated MOVASs, which served as a negative transcription factor directly binding to the promotor of Nlrp3. We conclude that EMPA ameliorates VC by inhibiting Bhlhe40-dpendent NLRP3 inflammasome activation. These results might provide potential significance for EMPA in VC therapy of T2DM patients.

Association of periodontitis and tooth loss with extent of coronary atherosclerosis in patients with type 2 diabetes mellitus

Aim

The objective was to investigate the association of periodontitis and tooth loss with extent of diabetic coronary atherosclerosis.

Materials and methods

272 patients who were hospitalized at Shanghai East hospital and underwent a coronary artery calcium (CAC) CT scan were enrolled in this study. Individuals were grouped based on their CAC scores into a normal-to-mild coronary atherosclerosis (AS) group (0 ≤ score ≤ 100, n=184) and a moderate-to-severe group (score≥101, n=88). Periodontitis parameters and number of missing teeth were evaluated for every patient. The severity of periodontitis was categorized as mild, moderate, or severe. The taxonomic composition of the microbiota was determined using full-length 16S ribosomal RNA gene sequencing. Salivary inflammatory factors were tested by ELISA.

Results

Clinical attachment loss (CAL) (P =0.05) and the number of teeth lost (P = 0.016) were significantly higher in the moderate-to-severe coronary AS group, with these differences being more obvious in younger patients and patients with short-duration diabetes. Multivariate logistic regression analysis revealed that CAL (OR = 1.231, 95% CI = 1.066-1.214, P = 0.047) and having 10-19 missing teeth (OR = 1.604, 95% CI = 1.393-6.555, P = 0.05) were strongly associated with the presence of moderate-to-severe coronary AS. Salivary IL-6 and TNF-α levels, as well as levels of Porphyromonas gingivalis and Neisseria mucosa, were significantly elevated in the moderate-to-severe coronary AS group.

Conclusion

It was found that both tooth loss and CAL were related to the extent of diabetic coronary AS. Saliva inflammatory factors and oral bacteremia may be new biomarkers for moderate-to-severe coronary AS.

Basing on the machine learning model to analyse the coronary calcification score and the coronary flow reserve score to evaluate the degree of coronary artery stenosis

AIM

To obtain the coronary artery calcium score (CACS) for each branch in coronary artery computed tomography angiography (CCTA) examination combined with the flow fraction reserve (FFR) of each branch in the coronary artery detected by CT and apply a machine learning model (ML) to analyse and predict the severity of coronary artery stenosis.

METHODS

All patients who underwent coronary computed tomography angiography (CCTA) from January 2019 to April 2022 in the HOSPITAL (T.C.M) AFFILIATED TO SOUTHWEST MEDICAL UNIVERSITY) were retrospectively screened, and their sex, age, characteristics of lipid-containing lesions, coronary calcium score (CACS) and CT-FFR values were collected. Five machine learning models, random forest (RF), k-nearest neighbour algorithm (KNN), kernel logistic regression, support vector machine (SVM) and radial basis function neural network (RBFNN), were used as predictive models to evaluate the severity of coronary stenosis.

RESULTS

Among the five machine learning models, the SVM model achieved the best prediction performance, and the prediction accuracy of mild stenosis was up to 90%. Second, age and male sex were important influencing factors of increasing CACS and decreasing CT-FFR. Moreover, the critical CACS value of myocardial ischemia >200.70 was calculated.

CONCLUSION

Through computer machine learning model analysis, we prove the importance of CACS and FFR in predicting coronary stenosis, especially the prominent vector machine model, which promotes the application of artificial intelligence computer learning methods in the field of medical analysis.

Investigating the Feasibility of Using DenseNet to Improve Coronary Calcification Detection in CT

OBJECTIVES

Interscan reproducibility of coronary artery calcium (CAC) scoring can be improved by using a smaller slice thickness but at the cost of higher image noise. This study aimed to investigate the feasibility of using densely connected convolutional network (DenseNet) to reduce the image noise in CAC scans reconstructed with slice thickness < 3 mm for improving coronary calcification detection in CT.

METHODS

Phantom data acquired with QRM and CIRS phantoms were used for model training and testing, where the DenseNet model adopted in this work was a convolutional neural network (CNN) designed for super resolution recovery. After phantom study, the proposed method was evaluated in terms of its ability to improve calcification detection using patient data. The CNN input images (IMGinput) were CAC scans reconstructed with 0.5-, 1.0- and 1.5-mm slice thickness, while CNN label images were CAC scans reconstructed with 3-mm slice thickness (IMG3mm). Region of interest (ROI) analysis was carried out on IMG3mm, IMGinput and CNN output images (IMGoutput). Two-sample t test was used to compare the difference in Hounsfield Unit (HU) values within ROI between IMG3mm and IMGoutput.

RESULTS

For the calcifications in QRM phantoms, no statistically significant difference was found when comparing the HU values of 400- and 800-HA calcifications identified on IMG3mm to those on IMGoutput with slice thickness of 0.5, 1.0 or 1.5 mm. On the other hand, statistically significant difference was found when comparing the HU values of 200-HA calcifications identified on IMG3mm to those on IMGoutput with a slice thickness of 0.5 and 1.0 mm. Meanwhile, no statistically significant difference was found when comparing the HU values of 200-HA calcifications identified on IMG3mm to those on IMGoutput with a slice thickness of 1.5 mm. As for the rod inserts in CIRS phantoms simulating 9 different tissue types in human body, there was no statistically significant difference between IMG3mm and IMGoutput with slice thickness of 1.5 mm, and all the p values were larger than 0.10. With regards to patient study, more calcification pixels were detected on IMGoutput with a slice thickness of 1.5 mm than on IMG3mm, so calcifications were more clear on the denoised images.

CONCLUSION

According to our results, the CNN-based denoising method could reduce statistical noise in IMGinput with a slice thickness of 1.5 mm without causing significant texture change or variation in HU values. The proposed method could improve cardiovascular risk prediction by detecting small and soft calcifications that are barely identified on 3-mm slice images used in conventional CAC scans.

Ex vivo coronary calcium volume quantification using a high-spatial-resolution clinical photon-counting-detector computed tomography

Purpose

Coronary artery calcification (CAC) is an important indicator of coronary disease. Accurate volume quantification of CAC is challenging using computed tomography (CT) due to calcium blooming, which is a consequence of limited spatial resolution. Ex vivo coronary specimens were scanned on an ultra-high-resolution (UHR) clinical photon-counting detector (PCD) CT scanner, and the accuracy of CAC volume estimation was compared with a state-of-the-art conventional energy-integrating detector (EID) CT, a previous-generation investigational PCD-CT, and micro-CT.

Approach

CAC specimens (n = 13 ) were scanned on EID-CT and PCD-CT using matched parameters (120 kV, 9.3 mGy CTDI vol ). EID-CT images were reconstructed using our institutional routine clinical protocol for CAC quantification. UHR PCD-CT data were reconstructed using a sharper kernel. An image-based denoising algorithm was applied to the PCD-CT images to achieve similar noise levels as EID-CT. Micro-CT images served as the volume reference standard. Calcification images were segmented, and their volume estimates were compared. The CT data were further compared with previous work using an investigational PCD-CT.

Results

Compared with micro-CT, CT volume estimates had a mean absolute percent error of 24.1 % ± 25.6 % for clinical PCD-CT, 60.1 % ± 48.2 % for EID-CT, and 51.1 % ± 41.7 % for previous-generation PCD-CT. Clinical PCD-CT absolute percent error was significantly (p < 0.01 ) lower than both EID-CT and previous generation PCD-CT. The mean calcification CT number and contrast-to-noise ratio were both significantly (p < 0.01 ) higher in clinical PCD-CT relative to EID-CT.

Conclusions

UHR clinical PCD-CT showed reduced calcium blooming artifacts and further enabled improved accuracy of CAC quantification beyond that of conventional EID-CT and previous generation PCD-CT systems.

Feasibility and accuracy of coronary artery calcium score on virtual non-contrast images derived from a dual-layer spectral detector CT: A retrospective multicenter study

Rationale and objective

This retrospective study was to evaluate the feasibility and accuracy of coronary artery calcium score (CACS) from virtual non-contrast (VNC) images in comparison with that from true non-contrast (TNC) images.

Materials and methods

A total of 540 patients with suspected of coronary artery disease (CAD) who underwent a dual-layer spectral detector CT (SDCT) in three hospitals were eligible for this study and 233 patients were retrospectively enrolled for further analysis. The CACS was calculated from both TNC and VNC images and compared. Linear regression analysis of the CACS was performed between TNC and VNC images.

Results

The correlation of overall CACS from VNC and TNC images was very strong (r = 0.923, p < 0.001). The CACS from VNC images were lower than that from TNC images (221 versus. 69, p < 0.001). When the regression equation of the overall coronary artery was applied, the mean calibrated CACS-VNC was 221 which had a significant difference from the CACS-TNC (p = 0.017). When the regression equation of each coronary branch artery was applied, the mean calibrated CACS-VNC was 221, which had a significant difference from the CACS-TNC (p = 0.003). But the mean difference between the CACS-TNC and the calibrated CACS-VNC in either way was less than 1. The agreement on risk stratification with CACS-TNC and CCACS-VNC was almost perfect.

Conclusion

This multicenter study with dual-layer spectral detector CT showed that it was feasible to calculate CACS from the VNC images derived from the spectral coronary artery CT angiography scan, and the results were in good accordance with the TNC images after correction. Therefore, the TNC scan could be omitted, reducing the radiation dose to patients and saving examination time while using dual-layer spectral detector CT.

Association between psoriasis and coronary artery calcification: A systematic review and meta-analysis

Background

Psoriasis and atherosclerosis have overlapping pathophysiological mechanisms. However, the association between psoriasis and coronary artery calcification (CAC), a hallmark of atherosclerosis and a predictor of poor cardiovascular prognosis, remains to be determined. We performed a systematic review and meta-analysis to comprehensively evaluate the association between these related inflammatory conditions.

Methods

Observational studies evaluating the relationship between psoriasis and CAC were retrieved by searching PubMed, Cochrane's Library, and Embase databases. Presence of CAC was confirmed according to an Agatston's Score >0 upon computed tomography examination. A random-effect model incorporating between-study heterogeneity was used to pool the results.

Results

Sixteen studies involving 3,039 patients with psoriasis and 46,191 controls without psoriasis were included in the meta-analysis. All participants were without previously known cardiovascular diseases. Pooled results showed that psoriasis was associated with overall CAC [odds ratio (OR): 1.54, 95% confidence interval: 1.23-1.91, p < 0.001; I 2 = 57%], after matching or adjusting the conventional cardiovascular risk factors. Subgroup analyses showed that study country, comorbidity of psoriatic arthritis, baseline Psoriasis Area and Severity Index, and duration of psoriasis (p for subgroup difference all >0.05) did not significantly affect the association of psoriasis and CAC. However, a stronger association was observed in younger patients (mean age <50 years, OR: 2.63, p < 0.001) compared to older patients (≥50 years, OR: 1.24, p = 0.02; p for subgroup difference <0.001).

Conclusion

Psoriasis is associated with CAC, and the association may be stronger in younger patients.

Inverse Association between Plasma Phylloquinone and Risk of Ischemic Stroke in Chinese Adults with Hypertension and High BMI: A Nested Case-Control Study

BACKGROUND

Evidence on the association between phylloquinone status and cardiovascular diseases is scarce and conflicting. These inconsistencies may be due to differences in individual characteristics of the study populations, which may modify the association.

OBJECTIVE

This study aimed to evaluate the association between plasma phylloquinone and the risk of first total stroke and its subtypes, and to examine potential effect modifications by BMI in patients with hypertension.

METHODS

We performed a nested case-control study including 604 first stroke cases and 604 matched controls. The mean age was 62.2 y (range, 45 to 75). Lower BMI was defined as <25 kg/m2  and higher BMI was defined as ≥25 kg/m2. The risks of the first stroke were estimated by ORs and 95% CIs using conditional logistic regression. The primary outcome was total stroke or ischemic stroke.

RESULTS

The relation between log-transformed phylloquinone concentration and stroke or ischemic stroke was modified by BMI. Higher phylloquinone concentrations were associated with lower stroke risk in those with a higher BMI. When plasma phylloquinone was assessed as tertiles, the adjusted ORs of first stroke and ischemic stroke for participants with a high BMI in tertile 2-3 were 0.70 (95% CI: 0.46, 1.08) and 0.57 (95% CI: 0.35, 0.92) compared with those in tertile 1, respectively. However, there was no significant association between plasma phylloquinone and risk of first total stroke or ischemic stroke for those with a lower BMI. Patients with a higher BMI and lower phylloquinone concentrations had the highest risk of ischemic stroke and showed a statistically significant difference compared with the reference group with a lower BMI and higher phylloquinone (OR = 1.80, 95% CI: 1.06, 3.10; P-interaction: 0.017).

CONCLUSIONS

In Chinese patients with hypertension, there was an inverse association between baseline plasma phylloquinone and risk of first ischemic stroke among those with a higher BMI. This trial was registered at clinicaltrials.gov as NCT00794885.

Chest Pain: Who Needs Additional Testing Beyond ECG and Troponin?

In the first case, we describe a 45-year-old man who presented to the emergency department for evaluation of chest pain. He reported having chest discomfort 5 days prior that lasted a few minutes after an altercation with his coworker. In the second case, we describe a 54-year-old woman with history of well-controlled diabetes mellitus, hypertension, and dyslipidemia who presented to the ED with a 10-day history of intermittent sharp and burning chest pain in the substernal region, 5/10 intensity, lasting 15-20 minutes, associated with exertion. (Level of Difficulty: Intermediate.).

Advanced measurements of coronary calcium scores: how does it affect current clinical practice?

Coronary artery calcium (CAC) scoring has emerged as a marker of the burden of atheromatous disease and has been included in scoring systems. The practice of myocardial revascularization, considering percutaneous procedures or surgical strategies, is dramatically changing over years and the prognostic significance of CAC scoring is gradually being conceived. In this interdisciplinary scenario, vessel specific calcium scoring, mapping of coronary calcification and its integration with functional assessment of coronary artery disease might change the future decisions in the catheterization lab and operative theaters. This article summarizes CAC evaluation techniques and its implications in clinical practice.

Largely Accelerated Arterial Aging in Rheumatoid Arthritis Is Associated With Inflammatory Activity and Smoking in the Early Stage of the Disease

Background: Rheumatoid arthritis (RA) patients have a shorter life expectancy than the general population primarily due to cardiovascular comorbidities.

Objectives: To characterize arterial aging in RA.

Patients and Methods: Coronary calcium score (CCS) were available from 112 RA patients; out of these patients, follow-up CCS were measured for 54 randomly selected individuals. Control CCS were obtained from the MESA database (includes 6,000 < participants); arterial age was calculated from CCS.

Results: RA patients were significantly older (10.45 ± 18.45 years, p < 0.001) in terms of the arterial age than the age-, gender-, and race-matched controls. The proportion of RA patients who had zero CCS was significantly less (p < 0.01) than that of those in the MESA reference group. Each disease year contributed an extra 0.395 years (p < 0.01) on the top of the normal aging process. However, the rate of the accelerated aging is not uniform, in the first years of the disease it is apparently faster. Smoking (p < 0.05), previous cardiovascular events (p < 0.05), and high blood pressure (p < 0.05) had additional significant effect on the aging process. In the follow-up study, inflammatory disease activity (CRP > 5 mg/L, p < 0.05) especially in smokers and shorter than 10 years of disease duration (p = 0.05) had the largest impact.

Conclusion: Arterial aging is faster in RA patients than in control subjects, particularly in the first 10 years of the disease. Inflammation, previous cardiovascular events, and smoking are additional contributing factors to the intensified coronary atherosclerosis progression. These data support that optimal control of inflammation is essential to attenuate the cardiovascular risk in RA.