Intermediate Pretest Probability Research Articles

The effectiveness of coronary computed tomography angiography and functional testing for the diagnosis of obstructive coronary artery disease: results from the individual patient data Collaborative Meta-Analysis of Cardiac CT (COME-CCT)

AimTo determine the effectiveness of functional stress testing and computed tomography angiography (CTA) for diagnosis of obstructive coronary artery disease (CAD).Methods and resultsTwo-thousand nine-hundred twenty symptomatic stable chest pain patients were included in the international Collaborative Meta-Analysis of Cardiac CT consortium to compare CTA with exercise electrocardiography (exercise-ECG) and single-photon emission computed tomography (SPECT) for diagnosis of CAD defined as ≥ 50% diameter stenosis by invasive coronary angiography (ICA) as reference standard. Generalised linear mixed models were used for calculating the diagnostic accuracy of each diagnostic test including non-diagnostic results as dependent variables in a logistic regression model with random intercepts and slopes. Covariates were the reference standard ICA, the type of diagnostic method, and their interactions. CTA showed significantly better diagnostic performance (p < 0.0001) with a sensitivity of 94.6% (95% CI 92.7–96) and a specificity of 76.3% (72.2–80) compared to exercise-ECG with 54.9% (47.9–61.7) and 60.9% (53.4–66.3), SPECT with 72.9% (65–79.6) and 44.9% (36.8–53.4), respectively. The positive predictive value of CTA was ≥ 50% in patients with a clinical pretest probability of 10% or more while this was the case for ECG and SPECT at pretest probabilities of ≥ 40 and 28%. CTA reliably excluded obstructive CAD with a post-test probability of below 15% in patients with a pretest probability of up to 74%.ConclusionIn patients with stable chest pain, CTA is more effective than functional testing for the diagnosis as well as for reliable exclusion of obstructive CAD. CTA should become widely adopted in patients with intermediate pretest probability.Systematic review registrationPROSPERO Database for Systematic Reviews—CRD42012002780.Critical relevance statementIn symptomatic stable chest pain patients, coronary CTA is more effective than functional testing for diagnosis and reliable exclusion of obstructive CAD in intermediate pretest probability of CAD.Key PointsCoronary computed tomography angiography showed significantly better diagnostic performance (p < 0.0001) for diagnosis of coronary artery disease compared to exercise-ECG and SPECT.The positive predictive value of coronary computed tomography angiography was ≥ 50% in patients with a clinical pretest probability of at least 10%, for ECG ≥ 40%, and for SPECT 28%.Coronary computed tomography angiography reliably excluded obstructive coronary artery disease with a post-test probability of below 15% in patients with a pretest probability of up to 74%.Graphical

Long-term prognostic value of CT-based high-risk coronary lesion attributes and radiomic features of pericoronary adipose tissue in diabetic patients

To investigate the long-term prognostic value of coronary computed tomography angiography (CCTA)-derived high-risk attributes and radiomic features of pericoronary adipose tissue (PCAT) in diabetic patients for predicting major adverse cardiac event (MACE). Diabetic patients with intermediate pre-test probability of coronary artery disease were prospectively enrolled and referred for CCTA. Three models (model-1 with clinical parameters; model-2 with clinical factors+CCTA imaging parameters; model-3 with the above parameters and PCAT radiomic features) were developed in the training cohort (835 patients) and tested in the independent validation cohort (557 patients). 1392 patients were included and MACEs occurred in 108 patients (7.8%). Multivariable Cox regression analysis revealed that HbA1c, coronary calcium Agatston score, significant stenosis and high-risk plaque were independent predictors for MACE whereas none of PCAT radiomic features showed predictive value. In the training cohort, model-2 demonstrated higher predictive performance over model-1 (C-index=0.79 vs. 0.68, p < 0.001) whereas model-3 did not show incremental value over model-2(C-index=0.79 vs. 0.80, p = 0.408). Similar findings were found in the validation cohort. The combined model (clinical and CCTA high-risk anatomical features) demonstrated high efficacy in predicting MACE in diabetes. PCAT radiomic features failed to show incremental value for risk stratification.

ESR Essentials: imaging in stable chest pain - practice recommendations by ESCR.

Stable chest pain is a common symptom with multiple potential causes. Non-invasive imaging has an important role in diagnosis and guiding management through the assessment of coronary stenoses, atherosclerotic plaque, myocardial ischaemia or infarction, and cardiac function. Computed tomography (CT) provides the anatomical evaluation of coronary artery disease (CAD) with the assessment of stenosis, plaque type and plaque burden, with additional functional information available from CT fractional flow reserve (FFR) or CT myocardial perfusion imaging. Stress magnetic resonance imaging, nuclear stress myocardial perfusion imaging, and stress echocardiography can assess myocardial ischaemia and other cardiac functional parameters. Coronary CT angiography can be used as a first-line test for many patients with stable chest pain, particularly those with low to intermediate pre-test probability. Functional testing may be considered for patients with known CAD, where the clinical significance is uncertain based on anatomical testing, or in patients with high pre-test probability. This practice recommendations document can be used to guide the selection of non-invasive imaging for patients with stable chest pain and provides brief recommendations on how to perform and report these diagnostic tests. KEY POINTS: The selection of non-invasive imaging tests for patients with stable chest pain should be based on symptoms, pre-test probability, and previous history. Coronary CT angiography can be used as a first-line test for many patients with stable chest pain, particularly those with low to intermediate pre-test probability. Functional testing can be considered for patients with known CAD, where the clinical significance of CAD is uncertain based on anatomical testing, or in patients with high pre-test probability. KEY RECOMMENDATIONS: Non-invasive imaging is an important part of the assessment of patients with stable chest pain. The selection of non-invasive imaging test should be based on symptoms, pre-test probability, and previous history. (Level of evidence: High). Coronary CT angiography can be used as a first line test for many patients with stable chest pain, particularly those with low to intermediate pre-test probability. CT provides information on stenoses, plaque type, plaque volume, and if required functional information with CT fractional flow reserve or CT perfusion. (Level of evidence: High). Functional testing can be considered for patients with known CAD, where the clinical significance of CAD is uncertain based on anatomical testing, or in patients with high pre-test probability. Stress MRI, SPECT, PET, and echocardiography can provide information on myocardial ischemia, along with cardiac functional and other information. (Level of evidence: Medium).

Competence of radiologists in cardiac CT and MR imaging in Europe: insights from the ESCR Registry

RationaleTo provide an overview of the current status of cardiac multimodality imaging practices in Europe and radiologist involvement using data from the European Society of Cardiovascular Radiology (ESCR) MRCT-registry.Materials and methodsNumbers on cardiac CT and MRI examinations were extracted from the MRCT-registry of the ESCR, entered between January 2011 and October 2023 (n = 432,265). Data collection included the total/annual numbers of examinations, indications, complications, and reporting habits.ResultsThirty-two countries contributed to the MRCT-registry, including 29 European countries. Between 2011 and 2022, there was a 4.5-fold increase in annually submitted CT examinations, from 3368 to 15,267, and a 3.8-fold increase in MRI examinations, from 3445 to 13,183. The main indications for cardiac CT were suspected coronary artery disease (CAD) (59%) and transcatheter aortic valve replacement planning (21%). The number of patients with intermediate pretest probability who underwent CT for suspected CAD showed an increase from 61% in 2012 to 82% in 2022. The main MRI indications were suspected myocarditis (26%), CAD (21%), and suspected cardiomyopathy (19%). Adverse event rates were very low for CT (0.3%) and MRI (0.7%) examinations. Reporting of CT and MRI examinations was performed mainly by radiologists (respectively 76% and 71%) and, to a lesser degree, in consensus with non-radiologists (19% and 27%, respectively). The remaining examinations (4.9% CT and 1.7% MRI) were reported by non-radiological specialties or in separate readings of radiologists and non-radiologists.ConclusionsReal-life data on cardiac imaging in Europe using the largest available MRCT-registry demonstrate a considerable increase in examinations over the past years, the vast majority of which are read by radiologists. These findings indicate that radiologists contribute to meeting the increasing demands of competent and effective care in cardiac imaging to a relevant extent.Clinical relevance statementThe number of cardiac CT and MRI examinations has risen over the past years, and radiologists read the vast majority of these studies as recorded in the MRCT-registry.Key Points• The number of cardiac imaging examinations is constantly increasing.• Radiologists play a central role in providing cardiac CT and MR imaging services to a large volume of patients.• Cardiac CT and MR imaging examinations performed and read by radiologists show a good safety profile.Graphical

CLINICAL, ANGIOGRAPHIC AND FUNCTIONAL PARAMETERS DETERMINING DECISION TO PERFORM REVASCULARIZATION IN STABLE CORONARY ARTERY DISEASE PATIENTS WITH INTERMEDIATE CORONARY LESIONS

The aim: to study the clinical, angiographic and functional parameters, and their relation to the decision on percutaneous coronary intervention (PCI) in stable coronary artery disease (CAD) patients with intermediate coronary stenoses (ІСS) at patient and lesion levels.&#x0D; Materials and methods. The cross-sectional study enrolled 123 patients (62±9 years; 73,2 % males) with stable CAD and angiographically ICS (50-90 %). Stable angina CCS class II (CCSII) was diagnosed in 70 (56,9 %) patients, class III (CCSIII) – 29 (23,6 %); 24 (19,5 %) patients were free from angina (Afree). Fractional flow reserve (FFR) was assessed in 74 (60,2 %) patients (min per patient). The hemodynamically significant lesion was considered if FFR ≤0,80 a.u. The decision to perform PCI was undertaken in 93 (76 %) patients. In addition, the functional data from 128 lesions were analyzed.&#x0D; Results. The CCSIII group was characterized by less frequent previous PCI (21 % vs. 46 % in the pooled group [CCSII + Afree]; р=0,018); the predominance of cases with (max) severe [70-90 %] coronary stenosis (96 % vs. 78 % in CCSII and 54 % in Afree; ptrend&lt;0,001); the lower (min) FFR ([median, quartiles] 0,70 (0,64-0,74) vs. 0,87 (0,81-0,90) in Afree; p˂0,002); and the decision to perform PCI in the vast majority of cases (93 % vs. 79 % in CCSII and 46 % in Afree; ptrend&lt;0,001). The Afree/CCSII/CCSIII groups demonstrated a trend towards a decrease in frequency of cases with (max) [60-69 %] stenosis (38 %, 13 % and none, respectively; ptrend&lt;0,001), and a tendency towards the cases with (max) [80-90 %] stenosis to be more prevalent (29 %, 39 % and 55 %, respectively; ptrend=0,051). The frequency of cases with (max) stenosis [70-79 %] was comparable in the studied groups (Afree/CCSII/CCSIII: 25 %/39 %/41 %, respectively [ptrend=0,240]). At lesion-level, all [80-90 %] lesions (n=28) appeared to be hemodynamically significant. In turn, the [60-69 %] lesions (n=24) included 5 (21 %) significant ones. Finally, the [70-79 %] lesions (n=44) included 28 (64 %) significant and 16 (36 %) non-significant ones.&#x0D; Conclusions. Among the stable CAD patients with angiographically ICS, those with CCSIII were characterized by less frequent previous PCI, significant decrease in FFR and the decision to perform index PCI in the vast majority of cases. There is a need for more precise diagnosis and assessment of myocardial ischemia in patients with an intermediate pre-test obstructive CAD probability, including the cases of previously performed PCI.

FFRct use for acute chest pain triage in the emergency department: a cost-effectiveness analysis

Aims To model and assess the cost-effectiveness of CT-based fractional flow reserve (FFRct) for a population of low to intermediate risk patients for coronary artery disease (CAD) presenting to the emergency department (ED) with acute chest pain. Methods and results Using a decision tree model with a 1 year time horizon and from a health care perspective, two diagnostic pathways using FFRct are compared to current clinical routine combining coronary computed tomography angiography (CCTA) with an exercise test. Model data are drawn from the literature and nationally reported data. Outcomes are assessed as the number of avoided invasive coronary angiographies (ICAs) showing no obstructive CAD and quality of life (QoL) in a theoretical cohort of 1000 patients. Sensitivity analyses are performed to test the robustness of the results. Determining FFRct when CCTA is inconclusive is a cost-effective and dominant strategy with a potential saving of 198€/patient, 154 avoided unnecessary ICA showing no obstructive CAD (uICA)/1000 patients and an average improvement in QoL of 0.008 QALY/patient. With an additional 574€/patient, 8 avoided uICA/1000 patients and an improvement in QoL of 0.001 QALY/patient, a strategy where FFRct is always performed is cost-effective only when considering high cost-effectiveness thresholds. Conclusions For patients presenting to the ED with acute chest pain and a low to intermediate pre-test probability of CAD, a diagnostic strategy where FFRct is determined after an inconclusive CCTA is cost-effective. Clinical trials investigating both sensitivity and specificity of FFRct, as well as QoL associated with the use of this technology in this setting are warranted.

Artificial intelligence to improve ischemia prediction in Rubidium Positron Emission Tomography—a validation study

BackgroundPatients are referred to functional coronary artery disease (CAD) testing based on their pre-test probability (PTP) to search for myocardial ischemia. The recommended prediction tools incorporate three variables (symptoms, age, sex) and are easy to use, but have a limited diagnostic accuracy. Hence, a substantial proportion of non-invasive functional tests reveal no myocardial ischemia, leading to unnecessary radiation exposure and costs. Therefore, preselection of patients before ischemia testing needs to be improved using a more predictive and personalised approach.AimsUsing multiple variables (symptoms, vitals, ECG, biomarkers), artificial intelligence–based tools can provide a detailed and individualised profile of each patient. This could improve PTP assessment and provide a more personalised diagnostic approach in the framework of predictive, preventive and personalised medicine (PPPM).MethodsConsecutive patients (n = 2417) referred for Rubidium-82 positron emission tomography were evaluated. PTP was calculated using the ESC 2013/2019 and ACC 2012/2021 guidelines, and a memetic pattern–based algorithm (MPA) was applied incorporating symptoms, vitals, ECG and biomarkers. Five PTP categories from very low to very high PTP were defined (i.e., < 5%, 5–15%, 15–50%, 50–85%, > 85%). Ischemia was defined as summed difference score (SDS) ≥ 2.ResultsIschemia was present in 37.1%. The MPA model was most accurate to predict ischemia (AUC: 0.758, p < 0.001 compared to ESC 2013, 0.661; ESC 2019, 0.673; ACC 2012, 0.585; ACC 2021, 0.667). Using the < 5% threshold, the MPA’s sensitivity and negative predictive value to rule out ischemia were 99.1% and 96.4%, respectively. The model allocated patients more evenly across PTP categories, reduced the proportion of patients in the intermediate (15–85%) range by 29% (ACC 2012)–51% (ESC 2019), and was the only tool to correctly predict ischemia prevalence in the very low PTP category.ConclusionThe MPA model enhanced ischemia testing according to the PPPM framework:The MPA model improved individual prediction of ischemia significantly and could safely exclude ischemia based on readily available variables without advanced testing (“predictive”).It reduced the proportion of patients in the intermediate PTP range. Therefore, it could be used as a gatekeeper to prevent patients from further unnecessary downstream testing, radiation exposure and costs (“preventive”).Consequently, the MPA model could transform ischemia testing towards a more personalised diagnostic algorithm (“personalised”).

Cardiovascular and inflammatory biomarkers for non-invasive detection of coronary artery obstruction and prediction of long-term survival in patients with suspected chronic coronary syndrome

Abstract Introduction and methods: The knowledge about diagnostic and prognostic value of cardiac and inflammatory biomarkers in patients with chronic coronary syndrome (CCS) is limited. To address this, we analyzed serum levels of selected biomarkers in 2536 patients with suspected CCS (35% female) from the Leipzig LIFE Heart Study who were admitted for coronary angiography. The median follow-up was 10 years. The following biomarkers were considered: high sensitive troponin T (hsTNT), N-terminal pro B-type natriuretic peptide (NT-proBNP), copeptin, high sensitive C-reactive protein (hsCRP) and interleukin-6 (IL-6). Patients were stratified according to the angiographic severity of coronary artery disease (CAD): CAD0 (no sclerosis), CAD1 (non-obstructive, i.e., stenosis &amp;lt; 50%), CAD2 (≥ one stenosis ≥ 50%). Group comparison (GC) included GC1: CAD0 + 1 vs. CAD2, GC2: CAD0 vs. CAD1 + 2. Using age-, sex and symptom-based pre-test probability (PTP) table for obstructive CAD (i.e. CAD 2) which was published in the current CCS guidelines, patients were further classified into the following three categories: PTP &amp;lt; 5% (n=559), PTP 5-15% (n=545) and PTP &amp;gt; 15% (n=1432). Results CAD0, CAD1, CAD2 were apparent in 999, 529, and 1008 patients, respectively. Upon adjustment for traditional risk factors (TRF) the levels of hsTNT, NT-proBNP and IL-6 showed significant difference in GC1 (hsTNT: p=2.0x10-10, NT-proBNP: p=0.049, IL6: p=0.030). In GC2 only elevated hsTNT remained significant (p=1.9x10-7). In the ROC analysis only hsTNT slightly improved the AUC for the GC1-comparison in addition to TRF (0.729 with vs 0.712 witt hsTNT, p=0.013). Within the PTP subcategories the following results were obtained: PTP &amp;lt; 5%: AUC 0.747 with vs 0.730 without hsTNT, p=0.017; PTP 5-15 %: AUC 0.636 with vs 0.670 without hsTNT, p&amp;lt;0.001; PTP &amp;gt; 15%: AUC 0.699 with vs 0.677 without hsTNT, p= 0.024). In PTP 5-15% subgroup TropT cut-off value &amp;lt; 3 pg/mL (N= 119 / 23.4%) showed sensitivity of 89.7% and specificity of 73.1% for CAD2 detection. Ten years survival in groups CAD0, CAD1, CAD2 were 88.3%, 77.3%, 72.4%, respectively. In the multivariate analysis elevated hsTNT, NT-proBNP, copeptin and IL-6 remained significant mortality predictors in CAD2 patients with hazard ratios of similar magnitude (i.e. 1.5, 1.3, 1.4 and 1.3 per unit on the log-scale of the parameters, respectively). hsCRP did not reach significance. In the model stratified into tertiles according to the effects of classical risk factors and the joint biomarker levels for except hsCRP, hazard rates were 3.13 (tertile 2 vs 1) and 11.2 (tertile 3 vs 1). Conclusions In the present study hsTNT substantially improved the detection of obstructive CAD particularly in patients with intermediate PTP 5-15%. Furthermore, the studied biomarkers enable fast and precise non-invasive prediction of mortality risk in patients with suspected CCS, allowing tailored primary and secondary CAD prevention in this high-risk group.

Prognostic value of a novel artificial intelligence-based coronary computed tomography angiography-derived ischemia algorithm for patients with suspected coronary artery disease

Abstract Introduction Coronary computed tomography angiography (CCTA) has emerged as the first-line, non-invasive imaging tool to detect coronary artery disease (CAD) in patients with low to intermediate pre-test probability of CAD. However, CCTA cannot directly assess the presence of ischemia, which may lead to further downstream testing. A novel artificial-intelligence (AI)-based algorithm, comprising a machine-learned method that leverages atherosclerosis and vascular morphology features to determine vessel-level coronary ischemia from CCTA images, may be useful in this regard. Purpose We aimed to investigate the prognostic value of the AI-based ischemia algorithm for clinical events among symptomatic patients with suspected CAD referred for CCTA. Methods The AI-based ischemia algorithm was calculated by analysts blinded for patient characteristics and clinical outcomes using CCTA data from patients with suspected CAD who underwent clinically indicated CCTA at a large tertiary care center from February 2007 to December 2016. The primary endpoint was the composite of death, myocardial infarction (MI), and unstable angina pectoris (uAP) throughout a median follow-up of 8.1 years (IQR 6.0-9.6). Secondary endpoints were the association between the AI-based ischemia algorithm and the primary endpoint among patients with no/non-obstructive (i.e. ≤50%) CAD vs. obstructive (i.e. &amp;gt;50% stenosis) CAD in CCTA. Results 1574 patients were evaluated by the AI-based ischemia algorithm and 1540 were analyzable. Patients with positive AI-based ischemia findings (30.4%, n=468) had a significantly higher crude rate of the primary endpoint as compared to patients with negative AI-based ischemia findings (69.6%, n=1072) (HR 2.37, 95% CI 1.80-3.11, p&amp;lt;0.001), driven by higher rates of all endpoint composites (death: HR 1.48, 95% CI 1.13-2.22, p=0.007; MI: HR 5.42, 95% CI 3.10-9.49, p&amp;lt;0.001; uAP: HR 6.76, 95% CI 3.01-15.20, p&amp;lt;0.001). Results were consistent after adjusting for clinical confounders (age, sex, diabetes mellitus, smoking, hypertension, dyslipidemia, BMI&amp;gt;25 kg/m2, CAD family history) (primary endpoint: HR 1.66, 95% CI 1.24-2.22, p=0.001). Positive AI-based ischemia findings were associated with a significantly higher rate of the primary endpoint among patients with no/non-obstructive CAD in CCTA (n=1001/1487) (HR 2.56, 95% CI 1.53-4.27, p&amp;lt;0.001), but not among those with anatomically obstructive CAD in CCTA (n=486/1487) (HR 1.08, 95% CI 0.70-1.66, p=0.715). Conclusions A novel AI-based CCTA-derived ischemia algorithm was associated with a 1.7-fold increased adjusted rate of long-term death, MI, or uAP. This AI-based ischemia algorithm may be helpful to improve risk stratification, especially among patients with normal/non-obstructive CCTA.Kaplan Meier CCTA ≤50% and &amp;gt;50% stenosis

3Ts Score, an Attempt for Less Testing in Thrombocytopenia Patients with Suspected Heparin Induced Thrombocytopenia (HIT): Retrospective Analysis in a University Hospital Setting

Background: Heparin-induced thrombocytopenia (HIT) is a prothrombotic and potentially fatal adverse drug reaction mediated by platelet-activating antibodies against multimolecular complexes of platelet factor 4 (PF4) and heparin. The 4Ts is a pretest scoring system for HIT that was developed to improve and standardize clinical diagnosis. The strength of the 4Ts score lies in the negative predictive value of a low pretest probability score. Those with a 4T score ≥4 is considered to have moderate to high probability of HIT and should undergo confirmatory laboratory test. Delays in treatment are associated with risk of thrombosis. Immediate cessation of heparin and initiation of a non-heparin anticoagulant is therefore standard of care. Method: This is a single institutional retrospective study. We reviewed the charts of 219 patients with thrombocytopenia with suspected HIT to evaluate the appropriateness of ordering the HIT testing based on the pretest probability of the 4Ts scoring system. All patients had enzyme linked immunosorbent assay (ELISA) test for HIT antibodies (the screening test). We studied tests that were sent from 03\16\2021 through 07\03\2023. The serotonin release assay (SRA) which is the confirmatory test for HIT was only sent for patients who had a positive ELISA test. 4T scores were calculated retrospectively using chart's information available to clinicians at the time of the HIT tests were sent. Results: Out of the 219 patients, 80(36.5%), 120(54.7%) and 19(8.6%) patients had a low, intermediate and high pretest probability respectively. The HIT ELISA test was positive in 33 (15.7%) patients and 196 (84.9%) patients had negative results. HIT ELISA had 100% and 93.5% sensitivity and specificity respectively while the positive and negative predicative values were 60% and 100% respectively. A positive SRA test was reported in 23 patients (10.5% of the total study population). Seventy-nine patients (36% of our total sample) scored 4 points which represents intermediate pretest probability. Out of these 79 patients only 6 (11.3%) patients had a positive ELISA test, and 5 (6.3%) patients had a positive SRA test. Aiming to minimize the HIT over testing we examined the increase in the cutoff point of the intermediate pretest probability from 4 points to 5 points which resulted in significant increase in the sensitivity and positive predictive value of the intermediate pretest probability (75.4% and 21% versus 39% and 12.9% respectively). However, the sensitivity dropped from 90% to 65%. The 4th part of 4Ts score gives points based on the probability of HIT versus other pathology as a cause of the thrombocytopenia. Most of the patients with suspected HIT will score one point out of the 4th part of 4Ts score which makes this part of the score is less helpful in distinguishing between patients with suspected HIT and will result in higher overall pretest probability and more testing. We studied the 3Ts score (the 4Ts scoring system after elimination of the 4th part) effect on the intermediate pretest probability. The cutoff points for the 3Ts score are 1-3, 4-5 and 6 for low, intermediate and high pretest probability respectively. The 3Ts score model resulted in significant increase in the specificity and the positive predictive value (76% and 21.7% versus 39.2% and 12.9% respectively) however the sensitivity dropped from 90% to 65%. The average turnaround time for HIT ELISA test and the SRA test was 2.3 days and 4.4 days respectively. Fifteen patients (21% out the patient had low pretest probability on the 4Ts score), 41 patients (59% of the patient who had an intermediate pretest probability on the 4Ts score) and 13 patients (18.8% of the patients who had high pretest probability on the 4Ts score) started on non-heparinoid anticoagulation meanwhile awaiting on the HIT testing result. Conclusion: Over testing of HIT is common secondary to underuse of 4Ts scoring system. Multicomponent educational interventions to increase the awareness and utility of the 4Ts score in addition to implantation of clinical decision support based on HIT computerized score will help to reduce unnecessary diagnostic testing of HIT in patients with low pretest probability. Increasing the cutoff point of the intermediate pretest probability or applying the 3Ts score model resulted in significant increase in the specificity and the positive predictive value of the 4Ts scoring system on expense of the scoring system sensitivity.

Evaluation of Clinical Applicability of Coronary Artery Calcium Assessment on Non–Gated Chest Computed Tomography, Compared With the Classic Agatston Score on Cardiac Computed Tomography

Given current pretest probability (PTP) estimations tend to overestimate patients' risk for obstructive coronary artery disease, evaluation of patients' coronary artery calcium (CAC) is more precise. The value of CAC assessment with the Agatston score on cardiac computed tomography (CT) for risk estimation has been well indicated in patients with stable chest pain. CAC can be equally well assessed on routine non-gated chest CT, which is often available. This study aims to determine the clinical applicability of CAC assessment on non-gated CT in patients with stable chest pain compared with the classic Agatston score on gated CT. Consecutive patients referred for evaluation of the Agatston score, who had a previously performed non-gated chest CT for evaluation of noncardiac diseases, were included. CAC on non-gated CT was ordinally scored. Subsequently, patients were stratified according to CAC severity and PTP. The agreement and correlation between the classic Agatston score and CAC on non-gated CT were evaluated. The discriminative power for risk reclassification of both CAC assessment methods was assessed. Invasive coronary angiography was used as the gold standard, when available. A total of 140 patients aged between 30 and 88years were included. The agreement between ordinally scored CAC and the Agatston score was excellent (κ=0.82) and the correlation strong (r=0.94). Most patients (80%) with an intermediate PTP had no or mild CAC on non-gated CT. They were reclassified at low risk with 100% accuracy compared with invasive coronary angiography. Similarly, 86% of patients had an Agatston score <300. These patients were reclassified with 98% accuracy. In patients with high PTP, the accuracy remained substantial and comparable, 94% and 89%, respectively. In conclusion, we believe this is the first study to assess the clinical applicability of CAC on non-gated CT in patients with stable chest pain, compared with the classic Agatston score. The agreement between methods was excellent and the correlation strong. Furthermore, CAC assessment on non-gated CT could reclassify patients' risk for obstructive coronary artery disease as accurately as could the classic Agatston score.

Agreement between Thai Cardiovascular Risk Scores and Myocardial Perfusion Imaging: Exploring Associations and Clinical Implications.

This study aimed to assess the agreement between the Thai cardiovascular (CV) risk score or pretest probability (PTP), and myocardial perfusion imaging (MPI), and to explore the association between abnormal MPI results and higher Thai CV risk scores or PTP risk. The study was conducted between March 2017 and December 2021, and included 128 patients. Myocardial perfusion gated single photon emission computed tomography imaging was performed on all patients, and agreement between the Thai CV risk score, PTP, and MPI was measured using weighted Cohen's kappa statistic. Logistic regression was used to calculate odds ratios (OR) and explore the association. Fair agreement was observed between MPI and the Thai CV risk score (κ =0.269, P = 0.010), including patients with clinical chest pain (κ =0.367, P < 0.001). Subgroup analysis of patients with intermediate PTP revealed moderate agreement between MPI and the Thai CV risk score (κ =0.428, P = 0.002). Patients with intermediate (OR = 3.25, P = 0.010) or high (OR = 4.78, P = 0.001) Thai CV risk scores had significantly higher odds of having intermediate or high MPI results compared to those with low Thai CV risk scores. This study highlights the agreement between MPI and the Thai CV risk score and PTP. Higher Thai CV risk scores are associated with increased odds of abnormal MPI results. These findings provide valuable insights for clinical decision-making and patient management.

Clinical and hemodynamic characteristics of patients with intermediate coronary lesions selected for elective percutaneous coronary intervention

The aim – to identify clinical, angiographic and hemodynamic factors, having impact upon the decision on percutaneous coronary intervention (PCI) in stable coronary artery disease (SCAD) patients with intermediate subepicardial coronary lesions, in clinical settings. Materials and methods. The cross-sectional single-center study analyzed clinical and instrumental data from 123 SCAD patients (mean age 62 ± 9 years; 90 (73.2 %) males) and intermediate (50–90 %) stenotic subepicardial coronary lesions (by invasive coronary angiography [ICA]). The enrolled sample included 74 (60.2 %) patients with an assessment of ICA-derived fractional flow reserve (FFR). The studied parameters were analyzed in the groups of decision not to perform (PCI(–); n = 30 [24.4 %]) and to perform PCI (PCI(+); n = 93 [75.6 %]). Results. The positive decision on PCI was more frequent in patients with stable angina ІII and ІI CCS class, as compared to those without angina (93 %, 79 % і 46 %, respectively; рtrend &lt; 0.001). PCI was considered to be appropriate in all patients with FFR &lt; 0.8 (46 of 74 (62 %) cases). The more advanced hemodynamic compromise of coronary lesions was associated with the higher maximum degree of coronary artery stenosis. Multivariable logistic regression analysis revealed a more pronounced coronary stenosis (at least, in one subepicardial coronary artery territory) was independently associated with the PCI(+) decision (stenosis 80–90 % vs. 70–79 %; 70–79 % vs. 60–69 %; 60–69 % vs. 50–59 %: odds ratio 26 (95 % confidence interval 8–87); р &lt; 0.001). Conclusions. A degree of coronary artery stenosis was a key factor impacting upon a positive decision on PCI in SCAD patients with intermediate (50–90 %) coronary lesions. There is a need for the broader implementation of non-invasive diagnostic tests and the tools for a quantitative assessment of myocardial ischemia in patients with intermediate pretest probability of coronary stenosis, including those with previous PCI.

Cardiac Computed Tomography Angiography in CAD Risk Stratification and Revascularization Planning.

Functional stress testing is frequently used to assess for coronary artery disease (CAD) in symptomatic, stable patients with low to intermediate pretest probability. However, patients with highly vulnerable plaque may have preserved luminal patency and, consequently, a falsely negative stress test. Cardiac computed tomography angiography (CCTA) has emerged at the forefront of primary prevention screening and has excellent agency in ruling out obstructive CAD with high negative predictive value while simultaneously characterizing nonobstructive plaque for high-risk features, which invariably alters risk-stratification and pre-procedural decision making. We review the literature detailing the utility of CCTA in its ability to risk-stratify patients with CAD based on calcium scoring as well as high-risk phenotypic features and to qualify the functional significance of stenotic lesions. Calcium scores ≥ 100 should prompt consideration of statin and aspirin therapy. Spotty calcifications < 3 mm, increased non-calcified plaque > 4 mm3 per mm of the vessel wall, low attenuation < 30 HU soft plaque and necrotic core with a rim of higher attenuation < 130 HU, and a positive remodeling index ratio > 1.1 all confer additive risk for acute plaque rupture when present. Elevations in the perivascular fat attenuation index > -70.1 HU are a strong predictor of all-cause mortality and can further the risk stratification of patients in the setting of a non-to-minimal plaque burden. Lastly, a CT-derived fractional flow reserve (FFRCT) < 0.75 or values from 0.76 to 0.80 in conjunction with additional risk factors is suggestive of flow-limiting disease that would benefit from invasive testing. The wealth of information available through CCTA can allow clinicians to risk-stratify patients at elevated risk for an acute ischemic event and engage in advanced revascularization planning.

Using Coronary Artery Calcium Score as Diagnostic Tool in Symptomatic Chronic Coronary Syndrome Patients in a Real-Life Setting.

The coronary artery calcium (CAC) score can be used to increase (CAC score > 0) or decrease (CAC score = 0) the likelihood of coronary artery disease (CAD). We compared the CAC score with the pre-test probability (PTP) for CAD (low, intermediate, and high). Furthermore, we compared the CAC score with exercise electrocardiography (ECG) and compared both tests with coronary angiography. We retrospectively identified patients with angina and/or dyspnea for whom CAC score was used to increase or decrease the likelihood of CAD. Of 882 patients, majority had low (45%) or intermediate (44%) PTP. Patients with higher PTP had significantly higher CAC scores (Cramer's V = 0.29, p < 0.0001). Most patients (57%) had a CAC score of zero, especially those with low (73%) and intermediate (49%) PTP. However, 20% of patients with high PTP had CAC score of zero. Higher CAC scores were observed in patients with abnormal exercise ECG, but association was weak and not significant (Cramer's V = 0.13, p = 0.08). Moreover, more than 40% of patients with an abnormal exercise ECG had CAC score of zero. Higher CAC scores were associated with more severe abnormalities on coronary angiography (Cramer's V = 0.43, p < 0.0001), whereas there was no association between results of exercise ECG and coronary angiography (Cramer's V = 0.11, p = 0.91). CAC score can be used in addition to PTP to increase or decrease the likelihood of CAD, and it might be more useful than exercise ECG in the diagnostic work-up of chest pain.

Heart Rate Recovery as a Predictor of Long-Term Adverse Events after Negative Exercise Testing in Patients with Chest Pain and Pre-Test Probability of Coronary Artery Disease from 15% to 65.

The prognosis of patients with chest pain after a negative exercise test is good, but some adverse events occur in this low-risk group. The aim of our study was to identify predictors of long-term adverse events after a negative exercise test in patients with chest pain and a lower intermediate (15-65%) pre-test probability of coronary artery disease (CAD) and to assess the prognostic value of exercise electrocardiography and exercise stress echocardiography in this group of patients. We identified from our stress test laboratory database 862 patients with chest pain without previously known CAD and with a pre-test probability of CAD ranging from 15 to 65% (mean 41 ± 14%) who underwent exercise testing. Patients were followed for the occurrence of death, non-fatal myocardial infarction (MI) and clinically guided revascularization. During the median follow-up of 94 months, 87 patients (10.1%) had an adverse event (AE). A total of 30 patients died (3.5%), 23 patients suffered non-fatal MI (2.7%) and 34 patients (3.9%) had clinically guided revascularization (20 patients percutaneous and 14 patients surgical revascularizations). Male gender, age, the presence of diabetes and a slow heart rate recovery (HRR) in the first minute after exercise were independently related to the occurrence of AEs. Adverse events occurred in 10.3% of patients who were tested by exercise stress echocardiography and in 10.0% of those who underwent stress electrocardiography (p = 0.888). The risk of AEs after negative exercise testing in patients with a pre-test probability of CAD of 15-65% is low. Male patients with a history of diabetes and slow HRR in the first minute after exercise have an increased risk of an adverse outcome.

Association between diastolic dysfunction with coronary artery calcium score in stable coronary artery disease patients

Abstract Funding Acknowledgements Type of funding sources: None. Objectives Diastolic dysfunction is a common problem in patients with obesity, hypertension, diabetes, or coronary artery disease (CAD) including stable CAD. The coronary artery calcium score (CACS) is used to non-invasively evaluate cardiovascular risk in asymptomatic patients with a low to intermediate pre-test probability for CAD. The purpose of this study was to evaluate the association of diastolic dysfunction with an abnormal CAC score. Materials and Methods This study considered a cohort of patients &amp;gt; 18 years of age with normal ejection fraction who were admitted to the hospital with chest pain but low risk presentation for acute myocardial infarction. Patients then underwent cardiac CT for measurement of CAC score. Patients were excluded if they had prior history of CAD, ECG findings diagnostic of an acute coronary syndrome, an elevated troponin level, or hemodynamic instability. Results A total of 200 patients were included and 96 (48%) patients had echocardiographic evidence of diastolic dysfunction. Patients with diastolic dysfunction were more likely to have a higher mean calcium score (12,154.68 ± 17,588.30 vs 2,666.38 ± 9,725.82; p&amp;lt;0.001). Receiver operating characteristics (ROC) analysis showed the area under the curve was 86.3% and cut off was 129.5 with sensitivity 85% and specificity 74%. Conclusions Our study demonstrates that left ventricular diastolic dysfunction is associated with an abnormal CAC score. Patients without known CAD that present with chest pain with evidence of abnormal diastolic function on echocardiogram may warrant more thorough evaluation for coronary atherosclerotic disease with CAC score assessment.

Clinical quantitative coronary artery stenosis and coronary atherosclerosis imaging: a Consensus Statement from the Quantitative Cardiovascular Imaging Study Group.

The detection and characterization of coronary artery stenosis and atherosclerosis using imaging tools are key for clinical decision-making in patients with known or suspected coronary artery disease. In this regard, imaging-based quantification can be improved by choosing the most appropriate imaging modality for diagnosis, treatment and procedural planning. In this Consensus Statement, we provide clinical consensus recommendations on the optimal use of different imaging techniques in various patient populations and describe the advances in imaging technology. Clinical consensus recommendations on the appropriateness of each imaging technique for direct coronary artery visualization were derived through a three-step, real-time Delphi process that took place before, during and after the Second International Quantitative Cardiovascular Imaging Meeting in September 2022. According to the Delphi survey answers, CT is the method of choice to rule out obstructive stenosis in patients with an intermediate pre-test probability of coronary artery disease and enables quantitative assessment of coronary plaque with respect to dimensions, composition, location and related risk of future cardiovascular events, whereas MRI facilitates the visualization of coronary plaque and can be used in experienced centres as a radiation-free, second-line option for non-invasive coronary angiography. PET has the greatest potential for quantifying inflammation in coronary plaque but SPECT currently has a limited role in clinical coronary artery stenosis and atherosclerosis imaging. Invasive coronary angiography is the reference standard for stenosis assessment but cannot characterize coronary plaques. Finally, intravascular ultrasonography and optical coherence tomography are the most important invasive imaging modalities for the identification of plaques at high risk of rupture. The recommendations made in this Consensus Statement will help clinicians to choose the most appropriate imaging modality on the basis of the specific clinical scenario, individual patient characteristics and the availability of each imaging modality.

CT-derived fractional flow reserve for prediction of major adverse cardiovascular events in diabetic patients

ObjectivesTo investigate the prognostic value of computed tomography fractional flow reserve (CT-FFR) in patients with diabetes and to establish a risk stratification model for major adverse cardiac event (MACE).MethodsDiabetic patients with intermediate pre-test probability of coronary artery disease were prospectively enrolled. All patients were referred for coronary computed tomography angiography and followed up for at least 2 years. In the training cohort comprising of 957 patients, two models were developed: model1 with the inclusion of clinical and conventional imaging parameters, model2 incorporating the above parameters + CT-FFR. An internal validation cohort comprising 411 patients and an independent external test cohort of 429 patients were used to validate the proposed models.Results1797 patients (mean age: 61.0 ± 7.0 years, 1031 males) were finally included in the present study. MACE occurred in 7.18% (129/1797) of the current cohort during follow- up. Multivariate Cox regression analysis revealed that CT-FFR ≤ 0.80 (hazard ratio [HR] = 4.534, p < 0.001), HbA1c (HR = 1.142, p = 0.015) and low attenuation plaque (LAP) (HR = 3.973, p = 0.041) were the independent predictors for MACE. In the training cohort, the Log-likelihood test showed statistical significance between model1 and model2 (p < 0.001). The C-index of model2 was significantly larger than that of model1 (C-index = 0.82 [0.77–0.87] vs. 0.80 [0.75–0.85], p = 0.021). Similar findings were found in internal validation and external test cohorts.ConclusionCT-FFR was a strong independent predictor for MACE in diabetic cohort. The model incorporating CT-FFR, LAP and HbA1c yielded excellent performance in predicting MACE.

Incidental Coronary Artery Disease on Routine CT Coronary Angiography –An evidence-based approach

Atherosclerotic coronary artery disease is the leading cause of high morbidity and mortality across the globe [1]. Coronary CT angiography has emerged as a highly accurate non-invasive diagnostic modality for the diagnosis of atherosclerotic coronary artery disease [2]. Coronary CT angiography should be considered as an alternative to stress imaging technique for ruling out atherosclerotic coronary artery disease in patients with the lower range of intermediate pre-test probability for atherosclerotic stable coronary artery disease. However, coronary CT angiography is not recommended as a screening test in asymptomatic individuals without clinical suspicion of coronary artery disease. CT Coronary angiography has been performed routinely before many of the cardiac and non-cardiac procedures like TAVI, atrial fibrillation ablation prior to the organ transplantation. Many a times, advised by Family Physician or patients themselves for a routine screening for atherosclerotic coronary artery disease undergo CT coronary angiography. When incidental atherosclerotic coronary artery disease is found in such patients who do not have any typical or atypical symptom suggestive of coronary artery disease then question arises how to approach this patient as far as the risk estimation for future adverse cardiovascular event and prognostication is concerned. It also becomes imperative to decide the line of management for this patient. To answer these two pertinent questions, we need to understand the behavior and natural history of atherosclerosis &amp; performance of CT coronary angiography in diagnosis and in predicting the prognosis of atherosclerotic disease.