Alexandrino, Francisco B.

Abstract Aims Early detection of structural heart disease (SHD) improves patient outcomes. However, population-based screening is not recommended due to the lack of accurate and cost-effective tools. We evaluated the costs of artificial intelligence–enabled electrocardiogram (AI-ECG) alone vs. AI-ECG followed by handheld cardiac ultrasound (HCU) for SHD screening. Methods and results We performed a model-based cost analysis using data from 286 adult patients who underwent ECG and same-day HCU performed by a novice operator. Transthoracic echocardiogram (TTE) was the reference standard. We compared two screening strategies: (i) AI-ECG alone and (ii) a stepwise approach (AI-ECG followed by HCU). We assessed costs per diagnosis of aortic stenosis (AS), increased left ventricular wall thickness (ILVWT), and left ventricular systolic dysfunction (LVSD). Sensitivity analyses were conducted for varying disease prevalence. The stepwise approach decreased the cost per diagnosis of AS from $6386 (AI-ECG alone) to $2746 (57.0% savings), ILVWT from $4448 to $2895 (34.9% savings), and LVSD from $1469 to $1296 (11.8% savings). Overall, the cost per diagnosis for all SHDs combined decreased from $1940 to $1570 (19.1% savings). Sensitivity analysis demonstrated that cost savings were inversely proportional to disease prevalence. Nevertheless, stepwise screening remained cost-saving compared with AI-ECG alone until prevalence exceeded ∼55.9% for AS, 28.9% for ILVWT, 20.7% for LVSD, and 40.8% for all SHDs combined. Conclusion A stepwise screening strategy incorporating HCU after a positive AI-ECG reduces the immediate costs of SHD detection by minimizing unnecessary TTEs. This approach may enhance the feasibility of population-based SHD screening, particularly in lower-prevalence settings.

Background Tricuspid regurgitation (TR) is a common valvular disorder that can affect patients’ quality of life and survival. The impact of TR etiology on overall survival and the associated risk factors in each subgroup are not well studied. Methods Multisite, retrospective study evaluating survival based on TR etiology using Kaplan–Meier and Cox regression models. Stepwise approach was used to define TR etiology (≥moderate): primary (PTR; presence of a primary valvular pathology), lead associated (LTR; lead interfering with closure), and secondary TR (STR) in the setting of left‐sided valvular disease, left ventricular disease, other causes of pulmonary hypertension, right ventricular disease, and atrial secondary TR. Results A total of 12 899 patients were included (3% PTR, 90% STR, 7% LTR). The mean age was 68±14, 73±13, and 71±13 years, respectively (44%–55% female patients). Adjusting for age, sex, and TR severity, patients with PTR had better overall survival (PTR: reference; STR hazard ratio [HR], 1.4 [1.2–1.6], LTR HR, 1.5 [1.1–1.7]). On multivariable Cox regression, the Tricuspid Regurgitation Impact on Outcomes score was associated with mortality across all groups ( P <0.05 for all). In addition, other risk factors associated with worse outcomes included pulmonary hypertension and ≥moderate right ventricular enlargement in PTR; left‐sided valvular disease, pulmonary hypertension, and ≥moderate right ventricular dysfunction in STR; and left ventricular disease and ≥moderate right ventricular dysfunction in LTR. Conclusions Patients with PTR have better survival than STR and LTR. Tricuspid Regurgitation Impact on Outcomes score was associated with mortality across etiologies, whereas other risk factors are etiology specific. Improved risk profiling may enhance patient selection, treatment decisions, and outcomes.

Abstract Background AI-enhanced electrocardiogram (AI-ECG) is a cost-effective tool for left ventricular dysfunction screening. However, its cost-effectiveness for other forms of structural heart disease (SHD) is unknown. While AI-ECG is inexpensive, the relatively low positive predictive value (PPV) of many models can lead to high costs from unnecessary follow-up tests like transthoracic echocardiography (TTE). Therefore, strategies to improve the yield of AI-ECG-based screening are needed. Purpose To evaluate the cost savings of a stepwise approach to SHD screening using AI-ECG followed by point-of-care ultrasound (POCUS) compared to AI-ECG alone. Methods 286 adult outpatients undergoing AI-ECG were randomly selected to undergo same-day POCUS. All participants were required to have a recent TTE, our gold standard for SHD diagnosis, for comparison purposes. We evaluated four SHDs: aortic stenosis, cardiac amyloidosis, hypertrophic cardiomyopathy, and left ventricular dysfunction (defined as left ventricular ejection fraction &lt;50%). The costs of AI-ECG ($75/test) and TTE ($1,305/test) were sourced from Healthcare Bluebook, while the cost of POCUS ($100/test) was independently estimated. We compared the costs of screening with AI-ECG alone to stepwise screening with AI-ECG followed by POCUS. Costs were analyzed for two paradigms: screening for all forms of SHD in parallel and screening for each SHD individually. Results AI-ECG alone identified potential SHD in 125 out of 286 patients. When compared to TTE, only 39 out of 125 were true positives (31% PPV). Among the AI-ECG-positive patients, POCUS demonstrated findings of SHD in 52 out of 125 cases. When compared to TTE, this stepwise approach yielded 32 true positives and 20 false positives (62% PPV). In the parallel screening paradigm, the cost per patient diagnosed with SHD was $4,733 with AI-ECG alone, which decreased to $3,182 with stepwise screening (33% cost savings). For the individual SHD screening paradigm, cost reductions were as follows: aortic stenosis ($18,724 to $6,315, 66% savings), cardiac amyloidosis ($21,023 to $12,230, 42% savings), hypertrophic cardiomyopathy ($9,883 to $6,175, 38% savings), and left ventricular dysfunction ($4,019 to $3,582, 11% savings). Conclusions Stepwise SDH screening with AI-ECG followed by POCUS markedly reduces costs compared to AI-ECG alone. The greatest cost savings for individual SHD screening were observed for aortic stenosis and cardiac amyloidosis, conditions where AI-ECG models have lower PPVs. Parallel screening for multiple SHDs is also less costly than screening for any individual SHD alone. Therefore, a parallel screening approach may maximize SHD detection while minimizing screening costs. Stepwise Screening Approach for SHD SDH Screening Costs

Introduction: Cancer therapy-induced cardiotoxicity (CTRCD) is one of the most significant adverse effects of oncologic treatment, responsible for considerable morbidity and mortality. Heart failure stands out due to its higher frequency and severity with the focus of most studies being left ventricular dysfunction and remodeling. The right ventricle (RV) may also be damaged by CTRCD, however the effects on RV function have not been elucidated. Research Question: What are the echocardiographic changes in RV due chemotherapy treatment? Objective: To conduct a systematic review and meta-analysis evaluating the RV echocardiographic parameters in patients undergoing chemotherapy treatment. Methods: Pubmed, Embase and Cochrane were systematically searched for studies that assessed RV echocardiographic changes in patients due to chemotherapy treatment. Statistical analysis was performed using the R statistical environment, with a summary estimate using Mean Differences (MD), adopting a random-effects model to account for variability among studies and a two-tailed significance level of 5%. A correlation coefficient of 0.5 was assumed for the paired measurements. Heterogeneity was assessed using the I2 statistic. Results: We included 641 patients from 11 studies, 75.5% of whom were women and with a mean age of 50.2±6.1 years. RV function was significantly lower after cancer treatment, with reduction in the fractional area change (MD -3.53%; CI -5.25, -1.41; p<0.0011 - Figure 1A), RV global longitudinal strain (MD 2.27%; CI 1.24, 3.29; p<0.0011 - Figure 1B) and in RV free wall strain (MD 3.22%; CI 1.76, 4.67; p<0.0001 - figure 1C). Additionally, the pulmonary artery systolic pressure was significantly higher (MD 1.36mmHg; CI 0.32, 2.4; p=0.01 - Figure 1D) and the tricuspid annular plane systolic excursion was significantly reduced (MD -1.98mm; CI -3.27, -0.68; p=0.0027 - Figure 1E) after chemotherapy. Conclusion: RV dysfunction is common in CTRCD and its echocardiographic quantification should be included in clinical practice follow-up during cancer treatment. Further research is needed to elucidate the underlying factors contributing to RV dysfunction in CTRCD and to develop methods for its early detection.

Background: AI-ECG is a cost-effective tool for left ventricular dysfunction (LVD) screening. However, its cost-effectiveness for other forms of structural heart disease (SHD) is unknown. While AI-ECG is inexpensive, a drawback is low positive predictive value (PPV), which leads to high costs from unnecessary follow-up tests. Therefore, strategies to improve the yield of AI-ECG-based screening are needed. Aim: To evaluate the cost savings of a stepwise approach to SHD screening with AI-ECG followed by POCUS compared to AI-ECG alone. Methods: 286 adult outpatients undergoing AI-ECG were selected at random. Participants received same-day POCUS and had a recent TTE (our gold standard for SHD). We evaluated four SHDs: aortic stenosis (AS), cardiac amyloidosis (CA), HCM, and LVD. The costs of AI-ECG ($75) and TTE ($1,305) were obtained from Healthcare Bluebook. The cost of POCUS ($100) was estimated independently. Cost savings were analyzed for simultaneous screening for all forms of SHD and screening for individual SHDs. Results: AI-ECG identified potential SHD in 125 patients, but only 39 were true positives by TTE (31% PPV). In AI-ECG positive patients, POCUS demonstrated findings of SHD in 52/125. Compared to TTE, this stepwise approach yielded 32 true positives and 20 false positives (62% PPV). The cost per patient diagnosed with SHD was $4,733 with AI-ECG alone but decreased to $3,182 with stepwise screening (33% cost savings). Screening for individual SHDs resulted in cost reduction from $18,724 to $6,315 (66% savings) for AS, $21,023 to $12,230 (42% savings) for CA, $9,883 to $6,175 (38% savings) for HCM, and $4,019 to $3,582 (11% savings) for LVD. Conclusions: Stepwise screening for SHD with AI-ECG followed by POCUS significantly reduces costs compared to AI-ECG alone. We also suggest a model for parallel screening for multiple SHDs, which is likely more cost-effective than screening for individual SHDs.

Background: Carcinoid heart disease (CaHD) typically affects tricuspid and pulmonary valves and is associated with poor survival. To date, the role of right ventricular (RV) and atrial (RA) strain has not been evaluated in such cohort. Research Questions: To evaluate RV and RA strain patterns and assess their impact on survival and congestive heart failure (CHF) development. Methods: Retrospective study of CaHD patients (ICD 9/10 diagnosis of neuroendocrine tumor and echocardiographic evidence of CaHD prior to any surgical intervention; 2004-2019). Longitudinal strain was evaluated using speckle-tracking, RV/RA-focused view was used. RV strain was averaged from 3 and 6 segments for free wall (FWS) and global strain (GS), respectively. Auto-tracking with manual adjustment was done to ensure optimal tracking. The tracing of RV/RA endocardium was done with 15 points using the tricuspid valve annulus as a reference. The impact of strain parameters on mortality and CHF was evaluated with the Kaplan Meier and Cox proportional hazard analyses. Results: A total of 138 patients were included (mean age was 63 ± 10 years; 47% females). Median follow-up was 5.0 years (3.7-8.2). Significant RA and RV enlargement (72 and 79%, respectively) was more common than RV dysfunction (10%). The most common valvular disease > moderate was tricuspid regurgitation (TR; 97%) followed by pulmonary regurgitation (PR; 70%). RV GS mean was -21 + 6%, with FWS of -23 + 7%. The mean RA strain analysis revealed (93% sinus rhythm): a reservoir of 26 + 11%, a conduit of 14 + 8%, and an atrial contraction of 12 + 8%. Strain parameters were not associated with overall mortality. As opposed to PR/TR severity and RV/RA enlargement/dysfunction, patients with low RA reservoir strain (<23%) were more likely to develop CHF (adjusted-HR=1.80, p=0.04, 95% CI 1.04 - 3.134). Conclusions: Our findings suggests that CaHD patients have RV/RA dysfunction with overall reduced strain parameters. Patients with low RA reservoir had higher risk of CHF, but none of the RV/RA strain parameters were associated with excess mortality. This shows how strain analysis could complement other echocardiographic parameters in CaHD morbidity assessment.

Case: A 65-year-old patient presented 4 months after mitral valve repair (annuloplasty band, commissuroplasty, neo-chordae to the anterior mitral leaflet (AL)). At follow up, he developed significant hemolytic anemia (Hemoglobin 10.1g/dL, LDH 650U/L, Bilirubin 1.4mg/dL and haptoglobin<14 mg/dL). TEE revealed the substrate for hemolysis: moderate-severe mitral regurgitation (MR) starting at the coaptation of A2 and P2 scallops due to AL overriding the posterior (PL). The jet was then directed posteriorly to a small (3 x 6 mm confirmed by cardiac CT) area of annuloplasty band dehiscence at the base of the P2 scallop, with the band in direct path of the flow. The unique feature was that AL retained coaptation with the annuloplasty band, thus forming a small tunnel from the A2-P2 coaptation defect to the dehisced area. Given that redo surgery early after initial intervention would be challenging, the Heart Team decided to pursue percutaneous closure at the level of the dehisced annuloplasty to reduce regurgitation and mitigate hemolysis. Under 3D TEE guidance closure with a 12mm AVP plug was attempted but resulted in interference with PL motion with a new jet of regurgitation laterally. Using two 8mm AVP plugs was successful in closing the dehiscence with minimal impact on PL. Overall regurgitation was reduced to mild. Within a week hemolysis labs improved: LDH337 U/L, Bilirubin0.7 mg/dL. Discussion: Annuloplasty band dehiscence is a known cause of recurrent MR after repair. As regurgitation occurs at the leaflet coaptation zone, percutaneous closure of these defects is usually futile. In this patient we took advantage of the maintained coaptation between the AL and annuloplasty band.