Background As the indications for trans-catheter aortic valve replacement (TAVR) expand, it is expected that the number of TAVR patients would increase and the follow-up duration would be longer. It is known that the incidence of leaflet thrombosis is higher in TAVR than in surgical aortic valve replacement (SAVR), but not much is known about the risk factors of late leaflet thrombosis in TAVR. Aim Therefore, in this study, the incidence and risk factors of late leaflet thrombosis at late term after TAVR and the effect on clinical course of late leaflet thrombosis would be investigated. Method There were 176 patients undergone TAVR from January 2015 to October 2020 in one tertiary hospital of south korea. 94 patients had follow-up cardiovascular computed tomography (CT) between 3 months and 2 years after TAVR. Among 94 patients, late leaflet thrombosis was discovered at 20 patients, and risk factors were analyzed by comparing clinical factors, echocardiographic and cardiovascular CT information, and angiographic data between the group with and without late leaflet thrombosis. And the difference in aortic valve hemodynamics between the group with and without leaflet thrombosis was examined and clinical outcomes were compared. Clinical outcome was defined as the composite of all-cause death, stroke, heart failure (HF) admission, redo-aortic valve (AV) replacement and major bleeding after detection of late leaflet thrombosis. Results Indexed mean sinus of Valsalva diameter, AV calcium score and post procedure estimated orifice area (EOA) had predictability of late leaflet thrombosis with AUC value of 0.670 (95% CI [0.546–0.795], p value = 0.020), AUC value of 0.698 (95% CI [0.544–0.851], p value = 0.012) and AUC value of 0.665 (95 percent CI [0.548–0.782], p value = 0.031), respectively (Figure 1). In echocardiography performed at the time of follow-up CT, AV max velocity and AV mean pressure gradient were higher in thrombosis group and EOA and Doppler velocity index were lower in thrombosis group than in no thrombosis group within normal range (Figure 2). Clinical outcome was not significant different between the two groups (log rank p value = 0.560). Conclusion Larger indexed sinus of Valsalva diameter, higher AV calcium score and smaller post procedure AV EOA were risk factors for late leaflet thrombosis after TAVR. Subclinical late leaflet thrombosis have a benign course when properly managed. Funding Acknowledgement Type of funding sources: None.
Background/Introduction Although pericardiectomy is an effective treatment of constrictive pericarditis (CP), clinical outcome is not always successful. Pericardial calcification is a unique finding in CP. However, the amount and localization of calcification vary. Computer tomography (CT) can visualize the pericardial calcification with high sensitivity and provide the anatomical assessment. Purpose We investigated that how the pattern and amount of pericardial calcification affect the mid-term postoperative outcome after pericardiectomy in CP. Methods All of the patients who underwent total pericardiectomy in our hospital from 2010 to 2020 were derived from electrical medical records (n=105). Among them, preoperative CT scans (non-gated non-contrast) of 98 patients were available and, thus, 98 consecutive patients were finally analyzed. Medical records were reviewed in a retrospective manner. Cardiovascular event is defined as cardiovascular death or hospitalization associated with a heart failure symptom and all cause event is defined as all events that require admission. CT scan was analyzed by Aquarius Workstation, and the volume and localization pattern of pericalcification were derived. Pericardium calcium score was given as an Agatston score. Results Of 98 patients, 25 (25.5%) patients were hospitalized with heart failure symptom after pericardiectomy. Median follow up duration of patients is 172 weeks. A group with cardiovascular event had higher NYHA grade (P<0.001), lower calcium volume (P=0.004), and lower calcium score (P=0.01). Multivariate cox proportional analysis showed that high ln(calcium score) before pericardiectomy was dependent predictor of cardiovascular event (hazard ratio, 0.90; P=0.04) and all cause event (hazard ratio, 0.91, P=0.04) after pericardiectomy. When we set the cut off value at 7.22, based on ROC curve, there was a significant difference in cardiovascular event between the groups divided by this cutoff value in Kaplan-Meier curve (P=0.002) and multivariate cox proportional analysis (P=0.04). In the subgroup analysis, myocardium invasion and circumferential calcification were more common in the high calcium score group. Idiopathic & tuberculosis pericarditis were more associated with high calcium score group and post-operative pericarditis, other reasons (infection, radiation, etc) were more associated with low calcium group. Conclusion Low burden of pericardial calcification was associated high rate of mid-term clinical event after pericardiectomy CP. Preoperative evaluation of pericardial calcification pattern can be used as predictor of postoperative outcomes. Funding Acknowledgement Type of funding sources: None.
Background While constrictive pericarditis has been traditionally considered a disabling disease, reversible constrictive pericarditis has been described in previous studies. But there are limited studies on cardiac imaging of tuberculous pericarditis. In particular, no studies on cardiac magnetic resonance imaging (CMR) have been reported. We aimed to investigate CMR findings including pericardial late gadolinium enhancement (LGE) and T2 fat suppression and black blood sequences in patients with tuberculous pericarditis. Methods We retrospectively analyzed medical records of patients with tuberculous pericarditis between January 2010 and January 2017 in Samsung Medical Center. Definite diagnosis of tuberculous pericarditis is based on the identification of Mycobacterium tuberculosis in pericardial fluid or tissue; probable diagnosis was made when there was other evidence of tuberculosis elsewhere in patients with unexplained pericarditis. We performed CMR at initial diagnosis. Treatment consists of the standard 4-drug antituberculosis regimen for 6 months with or without steroids. Echocardiography was also conducted at initial diagnosis and 6 months later. Results Total 39 cases with tuberculous pericarditis in immunocompetent patients were enrolled. Ten patients were diagnosed as definite tuberculous pericarditis. CMR finding at initial diagnosis divided into five groups: 1) pericardial effusion only (n=20, 51.3%), 2) effusive constrictive pericarditis (n=5, 12.8%), 3) constrictive pericarditis (n=11, 28.2%), 4) pericardial abscess formation (n=4, 10.3%) and 5) absence of pericardial effusion and constrictive physiology (n=1, 2.6%). One of the 4 patients with pericardial abscess formation was together with pericardial effusion and the other was accompanied by effusive constrictive pericarditis. Pericardial thickness increased to more than 4mm in 25 patients (64.1%) and the mean pericardial thickness was 10.0±6.9mm. Delayed enhancement of pericardium was noticed in 29 patients (74.4%). In T2 fat suppression and black blood sequences, 30 patients showed increased T2 signal intensity indicating inflammation with extensive edema. Pericardial thickening (>4mm) with constriction (n=15) was not statistically significant in the delayed enhancement and increased T2 signal intensity compared with pericardial thickening without constrictive pericarditis (n=10) (delayed enhancement 93.8% vs. 77.8% p=0.287; increased T2 signal intensity 88.9% vs. 87.5%, p=0.713). After 6 months, only 3 patients still had constrictive pericarditis in echocardiography. Effusive constrictive pericarditis Conclusions Pericardial thickening is associated with delayed enhancement and increased T2 signal intensity in patients with tuberculous pericarditis regardless of constrictive pericarditis. Even though there were hemodynamic feature of constrictive pericarditis and pericardial inflammation with extensive edema in CMR at initial diagnosis, 80% of the patients were improved from constrictive pericarditis. Acknowledgement/Funding None
Aims The burden of coronary artery disease has been assessed by various semi-quantitative angiographic scores, which are frequently different each other. A non-invasive and quantitative modality may substitute angiographic sores for prognostic implication and decision of revascularization strategy. We compared fractional myocardial mass (FMM) with angiographic scores for predicting myocardial ischemia. Methods In this multicenter registry, 411 patients who underwent coronary computed tomography angiography (CCTA) were followed by invasive coronary angiography and FFR measurement. CCTA–derived %FMM with diameter stenosis ≥70% (%FMM-70) or ≥50% (%FMM-50) were compared with 9 angiographic scores (APPROACH, Duke Jeopardy, BARI, CASS, SYNTAX, Jenkins, BCIS-1, Leaman, Modified Duke) and were tested regarding their performance for predicting FFR ≤ 0.80. Predictive performance of %FMM or angiographic scores for FFR ≤ 0.80 established in derivation cohort (N = 250) and tested in validation cohort (N = 161). Results The performance of %FMM-70 and %FMM-50 were similar to most angiographic scores (%FMM-70, c-statistics = 0.76; %FMM-50, 0.71; angiographic scores, 0.68 – 0.79). The frequency of FFR ≤ 0.80 increased consistently according to %FMM-70, %FMM-50, and all angiographic scores (p < 0.001, all). The optimal cutoff of %FMM-50 and %FMM-70 for FFR ≤ 0.80 were ≥34.5% and ≥9.8%, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of %FMM-50 were 83%, 56%, 73%, 70%, 72%, and of %FMM-70 were 72%, 78%, 75%, 75%, and 75% using these cutoffs. Validation cohort showed consistent results. Conclusion %FMM correlated well with angiographic scores and had a potential to be used as a non-invasive alternative to the angiographic scores. The integration of the severity of stenosis and the amount of subtended myocardium may improve the detection of clinically significant coronary artery stenosis. Abstract 1175 Figure. FMM vs angiographic score
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