Ahmad, Rimsha

Introduction: Heart failure with preserved ejection fraction (HFpEF) is an increasingly prevalent form of heart failure (HF) in the US today. Our prior work revealed low albumin at first hospitalization for HF exacerbation with underlying HFpEF to be an independent predictor of all-cause mortality in a small cohort of patients. We now sought to confirm our earlier findings across a larger and more diverse patient population. Methods: Seven thousand, eight hundred and forty patients had a first admission to Mayo Clinic for HF exacerbation with an echo-confirmed left ventricular ejection fraction>50% between 2010 and 2020. Patient baseline demographics, co-morbidities, admission laboratory values, echocardiographic parameters, discharge medications, and outcomes were obtained from chart abstraction. To validate our previous model, patients were grouped based on the number of risk factors as previously defined: age>80 years, serum albumin level<3.2 g/dl, medial E/e'≥20, N-terminal pro-brain natriuretic peptide (NT-proBNP) >5,000 pg/mL, and the presence of hypertension (HTN). The association with 1 year mortality was studied using Cox regression. Kaplan Meier curves were generated based on the number of factors present per patient. Results: Eleven significant univariate predictors of all-cause mortality were identified from the data (Fig. 1A), with hazard ratios (HR) ranging from 1.22-2.04 (p<0.001 for all). Notably, four previously identified prognosticators (age, albumin, medial E/e’, , HTN) were noted as significant independent predictors of all-cause mortality in HFpEF (HR 1.67, 2.14, 1.18, and 1.15, respectively, p<0.004 for all ; Fig. 1B). Multivariate regression modeling identified low albumin on presentation as being a significant adverse prognosticator (HR=2.14; p-value<0.001). Conclusion: Our analysis of 7840 HFpEF patients confirms our prior findings, suggesting that this model is a strong predictive tool for assessing the prognosis of HFpEF. Taken together, these five variables are easily available in the in-patient setting and can be incorporated into a model predictive of 1-year all-cause mortality.

AbstractIntroductionThe impact of mRNA‐based coronavirus disease‐2019 (COVID‐19) vaccines on atrial arrhythmias (AA) and ventricular arrhythmias incidence is unknown.MethodsBIOTRONIK Home Monitoring data and Medicare Claims data were utilized to identify individuals implanted with a cardiac implantable electronic device (CIED) between 2010 and 2020 who received one or more doses of COVID‐19 vaccine in 2021. The burden of AA (%) in the 3 months postvaccination was compared to those noted in the preceding 3 months using the Wilcoxon signed rank test. Sub‐analyses comparing the effects of the influenza vaccine against the COVID‐19 vaccine were also evaluated for individuals who received the influenza vaccine in 2020. A 1:1 propensity score match comparison between COVID‐19 vaccine and non‐vaccinated patients was also performed.ResultsFirst and second doses of the COVID‐19 vaccine were administered to 7757 and 6579 individuals with a CIED (age 76.2 ± 9.0 years, 49% males), respectively. While a small but statistically significant increase in the burden of AA was noted in the 3 months postvaccination compared to the preceding 3 months after the first dose of the COVID‐19 vaccine (0.43 ± 9.04%, p = .028) a similar rise in AA was found following the influenza vaccine and for matched patients who did not receive the COVID‐19 vaccine. No significant difference in device therapies was seen pre‐ and postvaccination.ConclusionsThough we report a small but significant increase in the number of CIED‐detected AAs following vaccination for COVID‐19 over a 3‐month window, we believe these results correlate more with time and the progressive nature of AF rather than the vaccine itself. While these data should not dissuade from the use of these vaccines, increased vigilance and prompt treatment of AF is required for high‐risk groups, specifically males over 70 years of age, following vaccination.

Introduction: The incidence and risk factors for sudden cardiac death (SCD) in patients with systemic right ventricle (sRV) and D-TGA palliated with atrial switch procedures is not well understood. Methods: This cohort was examined retrospectively for the composite end point of SCD, sustained ventricular tachycardia (VT) >30 s or appropriate ICD therapy for VT. Clinical characteristics of those with and without the end point were compared using the Kruskal-Wallis or Chi-square test as appropriate. Results: The composite end point occurred in 15 of 148 (10%) patients (63.5% male) at a mean age of 36.4 (SD 10.3) years. SCD occurred in 6 patients (n=2 successfully resuscitated), sustained VT in 6 patients and ICD therapy for VT in 3 patients who had previously received a primary prevention ICD. Patients with SCD/VT had lower sRV ejection fraction (EF) compared to patients without SCD/VT [28±11 vs 40±10%, P<0.001]. The odds ratio of SCD/VT in patients with sRVEF≤35% compared to sRVEF>35% was 13.3 (95% CI 2.8 - 64.4). Kaplan Meier analysis of time to SCD/VT stratified by sRV EF is presented in figure. QRS duration, QRS fragmentation, QTc and history of systemic AV valve surgery were not significantly associated with SCD/VT. Non-sustained ventricular tachycardia (NSVT) on Holter monitoring occurred more frequently in SCD/VT patients (80 vs 39%, p=0.003). All 11 survivors of SCD/VT received an ICD; appropriate ICD therapy occurred in 27% of these patients during follow-up. Conclusion: SCD or VT occurred in one-tenth of D-TGA patients palliated with atrial switch, predominantly in 3 rd and 4 th decade of life. Reduced sRV EF was the most important association and ICD implantation for primary prevention of SCD is a reasonable consideration in those with reduced sRV EF.