Clinical impact of celiac ganglia metastasis upon pancreatic ductal adenocarcinoma

BackgroundPre-operative staging of pancreatic adenocarcinoma guides clinical decision making. Limited data indicate that metastasis to celiac ganglia (CG) correlates with poor prognosis. We investigated feasibility and safety of endoscopic ultrasound fine needle aspiration (EUS-FNA) detection of CG metastasis and its impact upon tumor stage, resectability, and survival in pancreatic ductal adenocarcinoma (PDAC).PatientsWe reviewed our prospectively maintained EUS and cytopathology databases to identify patients with FNA proven CG metastasis in patients with PDAC from 2004 to 2017. Clinical demographics, EUS, CT, MRI, cytopathology, cancer stage, and resectability data were analyzed. Survival of PDAC patients with CG metastasis was compared to the expected survival of PDAC patients of similar stage as reported by the United States National Cancer Database.ResultsTwenty-one patients with PDAC [median age 73 (IQR63-78); 14 (67%) female)], had CG metastasis confirmed by cytopathologic assessment. CG metastasis resulted in tumor upstaging relative to other EUS findings and cross sectional imaging findings in 12 (57%) and 15 (71%) patients, and converted cancers from resectable to unresectable relative to EUS and cross sectional imaging in 7 (37%) and 7 (37%) patients, respectively. In patients with PDAC, the survival of patients with CG metastasis was not significantly different from the overall survival (hazard ratio 0.71; 95% confidence interval 0.44, 1.13; p = 0.15).ConclusionsEUS-FNA may safely identify CG metastases. While CG metastasis upstaged and altered the resectability status among this cohort of patients with PDAC, the survival data with regard to PDAC suggest that this may be misguided.     

Cell-free DNA promoter hypermethylation as a diagnostic marker for pancreatic ductal adenocarcinoma – An external validation study

BackgroundWe recently identified a diagnostic prediction model based on promoter hypermethylation of eight selected genes in plasma cell-free (cf) DNA, which showed promising results as a diagnostic biomarker for pancreatic ductal adenocarcinoma (PDAC). The aim of the present study was to validate this biomarker profile in an external patient cohort and examine any additional effect of serum CA 19-9.MethodsPatients with PDAC (n = 346, stage I-IV) and chronic pancreatitis (n = 25) were included. Methylation-specific PCR of a 28-gene panel was performed on serum cfDNA samples. The previously developed diagnostic prediction model (age>65 years, BMP3, RASSF1A, BNC1, MESTv2, TFPI2, APC, SFRP1 and SFRP2) was validated alone and in combination with serum CA 19-9 in this external patient cohort.ResultsPatients with PDAC had a higher number of hypermethylated genes (mean 8.11, 95% CI 7.70–8.52) than patients with chronic pancreatitis (mean 5.60, 95% CI 4.42–6.78, p = 0.011). Validation of the diagnostic prediction model yielded an AUC of 0.77 (95% CI 0.69–0.84). The combination of serum CA 19-9 and our test had an AUC of 0.93 (95% CI 0.89–0.96) in the primary study and 0.85 (95% CI 0.79–0.91) in the validation study.ConclusionIn this validation study, PDAC was associated with a higher number of hypermethylated genes in serum cfDNA than chronic pancreatitis. Our diagnostic test was superior to the predictive value of serum CA 19-9 alone in both the primary and the validation study. The combination of our test with CA 19-9 may serve as a clinically useful diagnostic biomarker for PDAC.     

Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events

BackgroundAssessment of coronary artery calcium (CAC) by computed tomographic (CT) imaging provides an accurate measure of atherosclerotic burden. CAC is also visible in computed tomographic attenuation correction (CTAC) scans, always acquired with cardiac positron emission tomographic (PET) imaging.ObjectivesThe aim of this study was to develop a deep-learning (DL) model capable of fully automated CAC definition from PET CTAC scans.MethodsThe novel DL model, originally developed for video applications, was adapted to rapidly quantify CAC. The model was trained using 9,543 expert-annotated CT scans and was tested in 4,331 patients from an external cohort undergoing PET/CT imaging with major adverse cardiac events (MACEs) (follow-up 4.3 years), including same-day paired electrocardiographically gated CAC scans available in 2,737 patients. MACE risk stratification in 4 CAC score categories (0, 1-100, 101-400, and >400) was analyzed and CAC scores derived from electrocardiographically gated CT scans (standard scores) by expert observers were compared with automatic DL scores from CTAC scans.ResultsAutomatic DL scoring required <6 seconds per scan. DL CTAC scores provided stepwise increase in the risk for MACE across the CAC score categories (HR up to 3.2; P < 0.001). Net reclassification improvement of standard CAC scores over DL CTAC scores was nonsignificant (−0.02; 95% CI: −0.11 to 0.07). The negative predictive values for MACE of zero CAC with standard (85%) and DL CTAC (83%) CAC scores were similar (P = 0.19).ConclusionsDL CTAC scores predict cardiovascular risk similarly to standard CAC scores quantified manually by experienced operators from dedicated electrocardiographically gated CAC scans and can be obtained almost instantly, with no changes to PET/CT scanning protocol.     

What is the impact of zinc deficiency for pancreatectomies in patients with pancreatic ductal adenocarcinoma?

Backgroundand purpose: Zinc is an essential element for human health and plays an important role in metabolic, immunological and other biological processes. The present study was conducted to investigate the association between zinc deficiency (ZD) and the perioperative clinical course in patients with pancreatic ductal adenocarcinoma (PDAC).MethodsOf 216 patients with PDAC who underwent elective pancreatectomy between 2013 and 2017 at our institution, 206 patients with sufficient clinical data were retrospectively reviewed. The perioperative variables were compared and the risk factors associated with infectious complications were identified.ResultsZD was preoperatively present in 36 (17.5%) of 206 patients with PDAC. In the patients of the ZD group, a higher proportion of males, higher preoperative modified Glasgow prognostic scores, a higher neutrophil-to-lymphocyte ratio, and a higher occurrence of postoperative infectious complications after pancreatectomy were observed, compared to the non-ZD group. By a univariate analysis, three risk factors were significantly associated with infectious complications after pancreatectomy: ZD (vs non-ZD: p = 0.002), serum albumin <3.5 g/dl (vs ≥ 3.5 g/dl: p = 0.005), and the procedure of pancreaticoduodenectomy (vs others: p = 0.013). By multivariate logistic regression analysis, the occurrence of infectious complications was significantly associated with ZD (OR 3.430, 95%CI 1.570 to 7.490, p = 0.002) and the procedure of pancreaticoduodenectomy (OR 2.030, 95%CI 1.090 to 3.770, p = 0.025).ConclusionsThe current study newly demonstrated that ZD could serve as a preoperative predictor of infectious complications after pancreatectomies in the patients with PDAC.     

Practice Changes at U.S. Transplant Centers After the New Adult Heart Allocation Policy

BackgroundIn October 2018, the U.S. heart allocation system expanded the number of priority “status” tiers from 3 to 6 and added cardiogenic shock requirements for some heart transplant candidates listed with specific types of treatments.ObjectivesThis study sought to determine the impact of the new policy on the treatment practices of transplant centers.MethodsInitial listing data on all adult heart candidates listed from December 1, 2017 to April 30, 2019 were collected from the Scientific Registry of Transplant Recipients. The status-qualifying treatments (or exception requests) and hemodynamic values at listing of a post-policy cohort (December 2018 to April 2019) were compared with a seasonally matched pre-policy cohort (December 2017 to April 2018). Candidates in the pre-policy cohort were reclassified into the new priority system statuses by using treatment, diagnosis, and hemodynamics.ResultsComparing the post-policy cohort (N = 1,567) with the pre-policy cohort (N = 1,606), there were significant increases in listings with extracorporeal membrane oxygenation (+1.2%), intra-aortic balloon pumps (+ 4 %), and exceptions (+ 12%). Listings with low-dose inotropes (−18%) and high-dose inotropes (−3%) significantly decreased. The new priority status distribution had more status 2 (+14%) candidates than expected and fewer status 3 (−5%), status 4 (− 4%) and status 6 (−8%) candidates than expected (p values <0.01 for all comparisons).ConclusionsAfter implementation of the new heart allocation policy, transplant centers listed more candidates with extracorporeal membrane oxygenation, intra-aortic balloon pumps, and exception requests and fewer candidates with inotrope therapy than expected, thus leading to significantly more high-priority status listings than anticipated. If these early trends persist, the new allocation system may not function as intended.     

Diagnostic Accuracy of FDG PET/CT in Suspected LVAD Infections: A Case Series,Systematic Review,and Meta-Analysis

ObjectivesThe purpose of this study was to describe our experience with fluorine-18 fluorodeoxyglucose (FDG) positron emission tomography computed tomography (PET/CT) in diagnosing left ventricular assist device (LVAD) infections and perform a meta-analysis of published studies to determine overall diagnostic accuracy.BackgroundDevice-related infections are a common complication of LVADs and are linked to worse outcomes. Diagnosis of LVAD infections remains challenging. FDG PET/CT has demonstrated good diagnostic accuracy in several other infectious conditions.MethodsThis was a single-center, retrospective case series of FDG PET/CT scans in suspected LVAD infection between September 2015 and February 2018. A systematic review of PubMed from database inception through March 2018 was also conducted to identify additional studies.ResultsNineteen FDG PET/CT scans were identified for the retrospective case series. The systematic review identified an additional 3 publications, for a total of 4 studies involving 119 scans assessing diagnostic performance. Axial (n = 36) and centrifugal (n = 83) flow LVADs were represented. Pooled sensitivity was 92% (95% confidence interval [CI]: 82% to 97%) and specificity was 83% (95% CI: 24% to 99%) for FDG PET/CT in diagnosing LVAD infections. Summary receiver-operating characteristic curve analysis demonstrated an AUC of 0.94 (95% CI: 0.91 to 0.95).ConclusionsFDG PET/CT for suspected LVAD infections demonstrates good diagnostic accuracy, with overall high sensitivity but variable specificity.     

The effects of the Dietary Approaches to Stop Hypertension (DASH) diet on metabolic risk factors in patients with chronic disease: A systematic review and meta-analysis of randomized controlled trials

AimsThe DASH diet was designed for helping control of blood pressure but, fortunately, it can also be prescribed for many other chronic conditions. The current study intended to assess the potential effects of DASH diet on metabolic risk factors in patients with chronic disease.Data synthesisWe carried out a systematic literature search for RCTs from inception until July 2020. A total of 54 clinical trials were included in the final analysis. Compared to control groups, a significant lower effect of the DASH diet was noted for body weight (−1.59 kg; p < 0.001), BMI (−0.64 kg/m²; p < 0.001), and WC (−1.93 cm; p < 0.001) as well as for SBP (−3.94 mmHg; p < 0.001) and DBP (−2.44 mmHg; P < 0.001). The DASH diet significantly decreased TC (−5.12 mg/dl; p = 0.008) and LDL-C levels (−3.53 mg/dl; p = 0.041), but not HDL-C (0.30 mg/dl; p = 0.510), TG (−4.22 mg/dl; p = 0.067), and VLDL-C (−2.16 mg/dl; p = 0.062). No significant effect of the DASH diet was noted for blood glucose (−0.38 mg/dl; p = 0.216), insulin (−0.03 μIU/mL; p = 0.817), HOMA-IR (−0.15; p = 0.132), and CRP (−0.33 mg/l; p = 0.173).ConclusionsThe DASH diet is a feasible approach to weight loss and to control blood pressure and hypercholesterolemia.     

Triglyceride to high-density lipoprotein cholesterol ratio and cardiovascular events in the general population: A systematic review and meta-analysis of cohort studies

AimsThe ratio of triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) has been regarded as a novel surrogate indicator of insulin resistance and the atherogenic index of plasma. This meta-analysis aimed to evaluate the association between the TG/HDL-C ratio and the incidence of cardiovascular events in the general population.Data synthesisCohort studies reporting the association between the TG/HDL-C ratio and cardiovascular events in the general population were obtained by a systematic literature search of PubMed, Embase and Web of Science databases until April 11, 2021. 13 cohort studies with a total of 207,515 participants were included in this meta-analysis. In a random-effects model, compared with those with the lowest category of the TG/HDL-C ratio, participants with the highest category were independently associated with a higher risk of cardiovascular events (pooled HR: 1.43, 95%CI: 1.26–1.62, I² = 72.9%). For the presence of publication bias detected by the Egger's test (p = 0.011), correction for publication bias using the trim-and-fill method reduced the HR to 1.26 (95%CI: 1.11–1.44). This result was consistent with the finding of the TG/HDL-C ratio analyzed as a continuous variable (pooled HR per unit increment of the TG/HDL-C ratio: 1.08, 95%CI: 1.04–1.12, I² = 67.0%). Subgroup analyses indicated that population gender, geographical region, duration of follow-up, adjustment for other lipid parameters, adjustment for diabetes and categorical number did not significantly vary the relationship.ConclusionElevated TG/HDL-C ratio may be independently associated with an increased risk of cardiovascular events in the general population. More well-designed studies are needed to confirm the current findings.Registration number in PROSPEROCRD42021244583.     

Risk stratification for mortality in cardiovascular disease survivors: A survival conditional inference tree analysis

Background and aimsEfficient analysis strategies for complex network with cardiovascular disease (CVD) risk stratification remain lacking. We sought to identify an optimized model to study CVD prognosis using survival conditional inference tree (SCTREE), a machine-learning method.Methods and resultsWe identified 5379 new onset CVD from 2006 (baseline) to May, 2017 in the Kailuan I study including 101,510 participants (the training dataset). The second cohort composing 1,287 CVD survivors was used to validate the algorithm (the Kailuan II study, n = 57,511). All variables (e.g., age, sex, family history of CVD, metabolic risk factors, renal function indexes, heart rate, atrial fibrillation, and high sensitivity C-reactive protein) were measured at baseline and biennially during the follow-up period. Up to December 2017, we documented 1,104 deaths after CVD in the Kailuan I study and 170 deaths in the Kailuan II study. Older age, hyperglycemia and proteinuria were identified by the SCTREE as main predictors of post-CVD mortality. CVD survivors in the high risk group (presence of 2–3 of these top risk factors), had higher mortality risk in the training dataset (hazard ratio (HR): 5.41; 95% confidence Interval (CI): 4.49–6.52) and in the validation dataset (HR: 6.04; 95%CI: 3.59–10.2), than those in the lowest risk group (presence of 0–1 of these factors).ConclusionOlder age, hyperglycemia and proteinuria were the main predictors of post-CVD mortality.Trial registrationChiCTR-TNRC-11001489.     

Optimal indication of endoscopic retrograde pancreatography-based cytology in the preoperative pathological diagnosis of pancreatic ductal adenocarcinoma

BackgroundEndoscopic ultrasound-guided fine needle aspiration (EUS-FNA) is extremely useful for pathological diagnosis of pancreatic ductal adenocarcinoma (PDAC); however, puncturing is difficult in some cases, and there is a risk of needle tract seeding. This study evaluated the indications for endoscopic retrograde pancreatography-based (ERP)-based cytology for the preoperative diagnosis of PDAC.MethodsThis study included 267 patients with PDAC who underwent preoperative ERP. The diagnostic performance of ERP-based cytology for PDAC was evaluated based on the sample collection method (pancreatic juice cytology [PJC] during ERP, brush cytology, PJC via endoscopic nasopancreatic drainage [ENPD] catheter), lesion site (pancreatic head, body/tail), and lesion size (≤10 mm, 10–20 mm, >20 mm), and compared with the diagnostic performance of EUS-FNA.ResultsThe overall sensitivity of ERP-based cytology was 54.9%; sensitivity by the sampling method was 34.7% for PJC during ERP, 65.8% for brush cytology, and 30.8% for PJC via an ENPD catheter. The sensitivity of EUS-FNA was 85.3%. Brush cytology and PJC via an ENPD catheter were performed more often in pancreatic body/tail lesions than in head lesions (P = 0.016 and P < 0.001, respectively), and the overall sensitivity of ERP-based cytology was better for body/tail lesions (63.2% vs. 49.0%, P = 0.025). The sensitivities of ERP-based cytology and EUS-FNA in diagnosing PDAC ≤10 mm were 92.3% and 33.3%, respectively. Post-ERP pancreatitis was observed in 22 patients (8.2%) and significantly less common with ENPD catheters (P = 0.002).ConclusionsERP-based cytology may be considered the first choice for pathological diagnosis of PDAC ≤10 mm and in the pancreatic body/tail.     

Prevalence of general and abdominal obesity and its relationship with opium,total opiate drugs,and chronic smoking: Fasa cohort study

Background and aimsObesity and drug use are two major global issues today. This study aimed to evaluate the relationship between alcohol and tobacco use with general and central obesity.MethodsThe data of the longitudinal population-based study were collected from the basis of the Fasa Cohort Study (FACS). Participants were 10141 people with 35–70 years old. Data were analyzed by SPSS 20 software. Binary logistic regression (BLR) was used for modelling. A significance level (α) less than 0.05% was considered for hypothesis testing.ResultsOf the total participants (N = 10104), 54.8% (n = 5539) were women. The prevalence of central obesity in terms of waist circumference (WC), waist to hip ratio (WHR), and waist to height ratio (WHtR) were calculated 48.20% (N = 4871), 79.50% (N = 8032), and 83.30% (N = 8314). The Odds Ratio (OR) adjusted of Abnormal body mass index (BMI) for Opium and chronic smoking were 0.54 (CI: 0.47–0.63) and 0.47 (CI:0.40–0.56). OR adjusted Abnormal WC for opium and chronic smoking were calculated 0.65 (CI: 0.53–0.80) and 0.57 (CI:0.46–0.72), respectively. Three variables of opium (OR = 0.54, CI: 0.46–0.64), total opiate drugs (OR = 1.46, CI:1.16–1.83) and chronic smoking (OR = 0.58, CI: 0.48–0.70) remained in the modeling for Abnormal WHR. Which were statistically significant.ConclusionSignificant and inverse relationships were found between obesity and opium, total opiate drugs, and chronic smoking.     

18F-FDG-Based Radiomics and Machine Learning: Useful Help for Aortic Prosthetic Valve Infective Endocarditis Diagnosis?

BackgroundFluorine-18 fluorodeoxyglucose (¹⁸F-FDG)-positron emission tomography (PET)/computed tomography (CT) results in better sensitivity for prosthetic valve endocarditis (PVE) diagnosis, but visual image analysis results in relatively weak specificity and significant interobserver variability.ObjectivesThe primary objective of this study was to evaluate the performance of a radiomics and machine learning–based analysis of ¹⁸F-FDG PET/CT (PET-ML) as a major criterion for the European Society of Cardiology score using machine learning as a major imaging criterion (ESC-ML) in PVE diagnosis. The secondary objective was to assess performance of PET-ML as a standalone examination.MethodsAll ¹⁸F-FDG-PET/CT scans performed for suspected aortic PVE at a single center from 2015 to 2021 were retrospectively included. The gold standard was expert consensus after at least 3 months’ follow-up. The machine learning (ML) method consisted of manually segmenting each prosthetic valve, extracting 31 radiomics features from the segmented region, and training a ridge logistic regressor to predict PVE. Training and hyperparameter tuning were done with a cross-validation approach, followed by an evaluation on an independent test database.ResultsA total of 108 patients were included, regardless of myocardial uptake, and were divided into training (n = 68) and test (n = 40) cohorts. Considering the latter, PET-ML findings were positive for 13 of 22 definite PVE cases and 3 of 18 rejected PVE cases (59% sensitivity, 83% specificity), thus leading to an ESC-ML sensitivity of 72% and a specificity of 83%.ConclusionsThe use of ML for analyzing ¹⁸F-FDG-PET/CT images in PVE diagnosis was feasible and beneficial, particularly when ML was included in the ESC 2015 criteria. Despite some limitations and the need for future developments, this approach seems promising to optimize the role of ¹⁸F-FDG PET/CT in PVE diagnosis.     

Prognostic Value of Radiotracer-Based Perfusion Imaging in Critical Limb Ischemia Patients Undergoing Lower Extremity Revascularization

ObjectivesThe purpose of this study was to evaluate the prognostic value of single-photon emission computed tomography (SPECT)/computed tomography (CT) imaging of angiosome foot perfusion for predicting amputation outcomes in patients with critical limb ischemia (CLI) and diabetes mellitus (DM).BackgroundRadiotracer imaging can assess microvascular foot perfusion and identify regional perfusion abnormalities in patients with critical limb ischemia CLI and DM, but the relationship between perfusion response to revascularization and subsequent clinical outcomes has not been evaluated.MethodsPatients with CLI, DM, and nonhealing foot ulcers (n = 25) were prospectively enrolled for SPECT/CT perfusion imaging of the feet before and after revascularization. CT images were used to segment angiosomes (i.e., 3-dimensional vascular territories) of the foot. Relative changes in radiotracer uptake after revascularization were evaluated within the ulcerated angiosome. Incidence of amputation was assessed at 3 and 12 months after revascularization.ResultsSPECT/CT detected a significantly lower microvascular perfusion response for patients who underwent amputation compared with those who remained amputation free at 3 (p = 0.01) and 12 (p = 0.01) months after revascularization. The cutoff percent change in perfusion for predicting amputation at 3 months was 7.55%, and 11.56% at 12 months. The area under the curve based on the amputation outcome was 0.799 at 3 months and 0.833 at 12 months. The probability of amputation-free survival was significantly higher at 3 (p = 0.002) and 12 months (p = 0.03) for high-perfusion responders than low-perfusion responders to revascularization.ConclusionsSPECT/CT imaging detects regional perfusion responses to lower extremity revascularization and provides prognostic value in patients with CLI (Radiotracer-Based Perfusion Imaging of Patients With Peripheral Arterial Disease; NCT03622359)     

Relevance of Fitness to Mortality Risk in Men Receiving Contemporary Medical Care

BackgroundAn inverse association between cardiorespiratory fitness and mortality was robustly demonstrated 3 decades ago.ObjectivesThe purpose of this study was to determine whether significant advances in disease prevention, detection, and treatment since that time have modified this association.MethodsA total of 47,862 men completed baseline examinations, including a maximal treadmill test. Cohort 1 (n = 24,475) was examined during 1971 to 1991 and followed for mortality through 1992. Cohort 2 (n = 23,387) was examined during 1992 to 2013 with follow-up through 2014. Men were categorized as low fit, moderate fit, or high fit using Cooper Clinic normative data. Hazard ratios (HRs) for all-cause, cardiovascular disease, and cancer mortality were determined across fitness categories in the 2 cohorts.ResultsA significant inverse trend between fitness categories and all-cause (HR: 1.0, 0.60, and 0.53 in cohort 1 and HR: 1.0, 0.76, and 0.52 in cohort 2) and cardiovascular disease mortality (HR: 1.0, 0.55, and 0.43 in cohort 1 and HR: 1.0, 0.84, and 0.52 in cohort 2) was observed (p trend <0.001 for all). The trend across fitness categories and cancer mortality was significant for cohort 1 (HR: 1.0, 0.62, and 0.48; p < 0.001), but not for cohort 2 (HR: 1.0, 1.08, and 0.74; p = 0.19). HRs for all-cause mortality were 0.86 (95% confidence interval: 0.82 to 0.90) and 0.87 (95% confidence interval: 0.83 to 0.91) per 1-MET increment in fitness for cohorts 1 and 2, respectively (p < 0.001 for both). Similar values were seen for cardiovascular disease and cancer mortality.ConclusionsDespite significant advances in disease prevention, detection, and treatment since fitness was first shown to be associated with mortality, the inverse association between fitness and mortality remains consistent in a contemporary cohort of men.     

Iatrogenic Atrial Septal Defects Following Transcatheter Mitral Valve Repair and Implications of Interventional Closure

ObjectivesThe authors investigated whether iatrogenic atrial septal defect (iASD) closure post-transcatheter mitral valve edge-to-edge repair (TMVR) is superior to conservative therapy (CT) and whether outcomes (death/heart failure [HF] hospitalization) differ between patients with and without an iASD post-TMVR.BackgroundTransseptal access for TMVR can create an iASD, which is associated with impaired outcomes. Controversially, the creation of an iASD in HF has been linked to improved hemodynamics.Methods80 patients with an iASD and relevant left-to-right shunting (Qp:Qs ≥1.3) 30 days following TMVR were randomized to CT or interventional closure of the iASD (MITHRAS [Closure of Iatrogenic Atrial Septal Defect Following Transcatheter Mitral Valve Repair] cohort), and 235 patients without an iASD served as a comparative cohort.ResultsAll patients of the MITHRAS cohort (mean age 77 ± 9 years, 39% women) received their allocated treatment, and follow-up was completed for all MITHRAS and comparative cohort (mean age 77 ± 8 years, 47% women) patients. Twelve months post-TMVR, there was no significant difference in the combined endpoint of death or HF hospitalization within the MITHRAS cohort (iASD closure: 35% vs CT 50%; P = 0.26). The combined endpoint was more frequent among patients within the MITHRAS cohort as opposed to the comparative cohort (43% vs 17%; P < 0.0001), primarily driven by a higher rate of HF hospitalization (34% vs 8%; P = 0.004).ConclusionsIn this randomized controlled trial, interventional closure of a relevant iASD 1 month after TMVR did not result in improved clinical outcomes at 12 months post-TMVR. Patients with an iASD are at higher risk for HF hospitalization independent of iASD management and warrant close follow-up. (Closure of Iatrogenic Atrial Septal Defect Following Transcatheter Mitral Valve Repair [MITHRAS]; NCT03024268)     

Risk Assessment of Coronary Obstruction During Transcatheter Aortic Valve Replacement: Insights From Post-BASILICA Computed Tomography

ObjectivesThe aim of this study was to examine the predictive value of preprocedural computed tomography (CT)–based risk stratification of coronary obstruction during transcatheter aortic valve replacement (TAVR) on the basis of geometric measurements on postprocedural CT.BackgroundProper patient selection for additional procedures to prevent coronary obstruction during TAVR has not been adequately evaluated.MethodsPre- and postprocedural computed tomographic scans of 28 patients treated using bioprosthetic or native aortic scallop intentional laceration to prevent iatrogenic coronary artery obstruction (BASILICA) and TAVR were analyzed. Using the postprocedural computed tomographic images, threatened coronary obstruction (TCO) was defined as: 1) ostial obstruction (adherence of the transcatheter heart valve [THV] to the coronary ostium with leaflet extension above the ostium); and/or 2) sinus sequestration (THV adherence to the sinotubular junction [STJ] with leaflet extension above the STJ) and was substratified into complete and incomplete types.ResultsA total of 51 leaflets were evaluated (88% surgical tissue valves) after excluding leaflets not visible on CT (n = 5). On postprocedural CT, complete TCO was observed in 25.4% (13 of 51 leaflets). On preprocedural CT, leaflets were at high risk for complete TCO (incidence 53%) if the virtual THV–to–coronary distance (VTC) was <3.0 mm, or if the virtual THV–to–STJ distance (VTSTJ) was <1.0 mm with STJ height ? leaflet length <0 mm (leaflet-STJ mismatch). Leaflets were at low risk (incidence 0%) if the VTC was ≥3 mm and VTSTJ was ≥3.0 mm or STJ height ? leaflet length was ≥+2.0 mm. Of 28 leaflets treated using BASILICA, complete TCO was seen in 35.7% (n = 10), due to sinus sequestration (100%) with coexisting ostial obstruction (30%). Actual coronary events occurred in 7.1% (n = 2) because of leaflet prolapse, corresponding to an absolute risk reduction by BASILICA of 29% (P = 0.021).ConclusionsRisk assessment of coronary obstruction after TAVR may improve with a multiparametric approach incorporating VTC, VTSTJ, and leaflet-STJ mismatch. BASILICA appeared to reduce actual coronary events even in leaflets with anticipated coronary obstruction.     

Adverse Plaque Characteristics Relate More Strongly With Hyperemic Fractional Flow Reserve and Instantaneous Wave-Free Ratio Than With Resting Instantaneous Wave-Free Ratio

ObjectivesThe current substudy of the PACIFIC (Prospective Comparison of Cardiac PET/CT, SPECT/CT Perfusion Imaging and CT Coronary Angiography With Invasive Coronary Angiography) trial explores the impact of computed tomography (CT)–derived unfavorable plaque features on both hyperemic and non-hyperemic flow indices.BackgroundNext to lesion severity, plaque vulnerability as assessed using coronary CT angiography affects fractional flow reserve (FFR), which is associated with imminent acute coronary syndromes. Instantaneous wave-free ratio (iFR) has recently emerged as an alternative for FFR to interrogate coronary lesions for ischemia. It is, however, unknown whether vasodilator-free assessment with iFR is associated with plaque stability similarly as FFR.MethodsOf 120 patients (62% men, age 58.3 ± 8.6 years) with suspected coronary artery disease, 257 vessels were prospectively evaluated. Each patient underwent 256-slice coronary CT angiography to assess stenosis severity and plaque features (positive remodeling [PR], low attenuation plaque [LAP], spotty calcification [SC], and napkin ring sign [NRS]), as well as intracoronary pressure measurements (FFR, iFR, Pd/Pa, and pressure ratio during adenosine within the wave-free period [iFRa]). CT-derived plaque characteristics were related to these invasive pressure measurements.ResultsAtherosclerotic plaques were present in 170 (66%) coronary arteries. On a per-vessel basis, luminal stenosis severity was significantly associated with impaired FFR, iFR, Pd/Pa, and iFRa. Multivariable analysis revealed that FFR and iFR were independently related to ≥70% stenosis (−0.10, p < 0.001 and −0.09, p = 0.003, respectively) and plaque volume (-0.02, p = 0.020 and -0.02, p = 0.030, respectively). Additionally, PR and SC were also independent predictors of an impaired FFR (−0.10, p < 0.001 and −0.07, p = 0.021, respectively), but adverse plaque characteristics were not independently related to the vasodilator-free iFR.ConclusionsCT-derived vulnerable plaque characteristics are independently associated with hyperemic flow indices as assessed with FFR and iFRa, but not with non-hyperemic indices such as iFR and Pd/Pa. These findings suggest that the effects of hyperemia on pressure-derived indices might depend not only on hemodynamic stenosis severity but also on plaque characteristics.     

Outcomes of TTVI in Patients With Pacemaker or Defibrillator Leads: Data From the TriValve Registry

ObjectivesThe interference of a transtricuspid cardiac implantable electronic device (CIED) lead with tricuspid valve function may contribute to the mechanism of tricuspid regurgitation (TR) and poses specific therapeutic challenges during transcatheter tricuspid valve intervention (TTVI). Feasibility and efficacy of TTVI in presence of a CIED is unclear.BackgroundFeasibility of TTVI in presence of a CIED lead has never been proven on a large basis.MethodsThe study population consisted of 470 patients with severe symptomatic TR from the TriValve (Transcatheter Tricuspid Valve Therapies) registry who underwent TTVI at 21 centers between 2015 and 2018. The association of CIED and outcomes were assessed.ResultsPre-procedural CIED was present in 121 of 470 (25.7%) patients. The most frequent location of the CIED lead was the posteroseptal commissure (44.0%). As compared with patients without a transvalvular lead (no-CIED group), patients having a tricuspid lead (CIED group) were more symptomatic (New York Heart Association functional class III to IV in 95.9% vs. 92.3%; p = 0.02) and more frequently had previous episodes of right heart failure (87.8% vs. 69.0%; p = 0.002). No-CIED patients had more severe TR (effective regurgitant orifice area 0.7 ± 0.6 cm² vs. 0.6 ± 0.3 cm²; p = 0.02), but significantly better right ventricular function (tricuspid annular plane systolic excursion = 16.7 ± 5.0 mm vs. 15.9 ± 4.0 mm; p = 0.04). Overall, 373 patients (79%) were treated with the MitraClip (Abbott Vascular, Santa Clara, California) (106 [87.0%] in the CIED group). Among them, 154 (33%) patients had concomitant transcatheter mitral repair (55 [46.0%] in the CIED group, all MitraClip). Procedural success was achieved in 80.0% of no-CIED patients and in 78.6% of CIED patients (p = 0.74), with an in-hospital mortality of 2.9% and 3.7%, respectively (p = 0.70). At 30 days, residual TR ≤2+ was observed in 70.8% of no-CIED and in 73.7% of CIED patients (p = 0.6). Symptomatic improvement was observed in both groups (NYHA functional class I to II at 30 days: 66.0% vs. 65.0%; p = 0.30). Survival at 12 months was 80.7 ± 3.0% in the no-CIED patients and 73.6 ± 5.0% in the CIED patients (p = 0.30).ConclusionsTTVI is feasible in selected patients with CIED leads and acute procedural success and short-term clinical outcomes are comparable to those observed in patients without a transtricuspid lead.     

A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity

ObjectivesThe authors explored the development and validation of machine-learning models for augmenting the echocardiographic grading of aortic stenosis (AS) severity.BackgroundIn AS, symptoms and adverse events develop secondarily to valvular obstruction and left ventricular decompensation. The current echocardiographic grading of AS severity focuses on the valve and is limited by diagnostic uncertainty.MethodsUsing echocardiography (ECHO) measurements (ECHO cohort, n = 1,052), we performed patient similarity analysis to derive high-severity and low-severity phenogroups of AS. We subsequently developed a supervised machine-learning classifier and validated its performance with independent markers of disease severity obtained using computed tomography (CT) (CT cohort, n = 752) and cardiovascular magnetic resonance (CMR) imaging (CMR cohort, n = 160). The classifier’s prognostic value was further validated using clinical outcomes (aortic valve replacement [AVR] and death) observed in the ECHO and CMR cohorts.ResultsIn 1,964 patients from the 3 multi-institutional cohorts, 1,346 (68%) subjects had either nonsevere or discordant AS severity. Machine learning identified 1,117 (57%) patients as having high-severity and 847 (43%) as having low-severity AS. High-severity patients in CT and CMR cohorts had higher valve calcium scores and left ventricular mass and fibrosis, respectively than the low-severity group. In the ECHO cohort, progression to AVR and progression to death in patients who did not receive AVR was faster in the high-severity group. Compared with the conventional classification of disease severity, machine-learning–based severity classification improved discrimination (integrated discrimination improvement: 0.07; 95% confidence interval: 0.02 to 0.12) and reclassification (net reclassification improvement: 0.17; 95% confidence interval: 0.11 to 0.23) for the outcome of AVR at 5 years. For both ECHO and CMR cohorts, we observed prognostic value of the machine-learning classifications for subgroups with asymptomatic, nonsevere or discordant AS.ConclusionsMachine learning can integrate ECHO measurements to augment the classification of disease severity in most patients with AS, with major potential to optimize the timing of AVR.     

Fractal dimension in CT low attenuation areas is predictive of long-term oxygen therapy initiation in COPD patients: Results from two observational cohort studies

BackgroundSome chronic obstructive pulmonary disease (COPD) patients develop hypoxemia with disease progression, with some even requiring long-term oxygen therapy (LTOT). Lung function, especially diffusing capacity, and the annual decline in PaO₂, are reported to be predictive factors of chronic respiratory failure. However, the association between lung morphometry evaluated using computed tomography (CT) images and LTOT initiation is unknown.MethodsWe retrospectively evaluated the relationship between clinical indices, including pulmonary function, body mass index (BMI), and CT parameters, at baseline and LTOT initiation in two prospective COPD cohorts. In the Nara Medical University cohort (n = 76), the low attenuation area (LAA) and its fractal dimension (fractal D) were adapted as the indices for parenchymal destruction in CT images. The association between these CT measurements and LTOT initiation was replicated in the Kyoto University cohort (n = 130).ResultsIn the Nara Medical University cohort, lower BMI (hazard ratio [HR]:0.70, p = 0.006), lower % diffusing capacity (%DLCO) (HR: 0.92, p = 0.006), lower %DLCO/VA (HR, 0.90, p = 0.008), higher RV/TLC (HR, 1.26, p = 0.012), higher LAA% (HR: 1.18, p = 0.001), and lower fractal D (HR: 3.27 × 10^?8, p < 0.001) were associated with LTOT initiation. Multivariate analysis in the Kyoto University cohort confirmed that lower %DLCO and lower fractal D were independently associated with LTOT initiation, whereas LAA% was not.ConclusionFractal D, which is the index for morphometric complexity of LAA in CT analysis, is predictive of LTOT initiation in COPD patients.