Normal Ranges of Right Atrial Strain: A Systematic Review and Meta-Analysis.

BACKGROUND: Standard measures for the clinical assessment of right atrial (RA) function are lacking. OBJECTIVES: In this systematic review and meta-analysis, the authors sought to report a reference range for RA deformation parameters in healthy subjects and to identify factors that contribute to reported variations. METHODS: The authors conducted a comprehensive search of MEDLINE; MEDLINE In-Process & Other Non-Indexed Citations; Embase; Scopus; and the Cochrane Central Register of Controlled Trials from database inception through October 2021. Studies were included if they reported RA strain or strain rate (SR) using 2-dimensional speckle-tracking echocardiography in healthy volunteers or apparently healthy control patients. Data were extracted by 1 reviewer and then reviewed by 2 independent reviewers. Conflicts were resolved through consensus. Data were combined using the method developed by Siegel and adjusted using the restricted maximum likelihood random-effects model. The normal range was defined as the 95% CI of the mean. Heterogeneity was assessed by the Cochran Q-statistic and the inconsistency index (I2). The quality of the included studies and publication bias were assessed. Effects of clinical variables were sought in a metaregression. RESULTS: The search identified 4,111 subjects from 21 studies. The average RA reservoir strain was 44% (95% CI: 25%-63%), contractile strain was 17% (95% CI: 2%-32%), and conduit strain was 18% (95% CI: 7%-28%), with significant between-study heterogeneity and inconsistency. The systolic SR was 2.1 s-1 (95% CI: 0.9-3.4 s-1), early-diastolic SR was -2.0 s-1 (95% CI: -3.3 to -0.8 s-1), and late-diastolic SR was -1.9 s-1 (95% CI: -2.4 to -1.3 s-1), with nonsignificant heterogeneity and inconsistency. Ranges remained wide in healthy volunteers. The metaregression identified only age as significantly associated with systolic SR and no other significant determinants of variation among normal ranges of strain. CONCLUSIONS: There are wide reference ranges for RA deformation, and these may limit the utility of this test in clinical practice.

Association of Optimism with Cardiovascular Events and All-Cause Mortality: Systematic Review and Meta-Analysis.

BACKGROUND: The effect of psychological health on cardiovascular disease is an underappreciated yet important area of study. Understanding the relationship between these two entities may allow for more comprehensive care of those with cardiovascular disease. The primary objective of this meta-analysis is to evaluate the relationship between optimism and risk of developing adverse events such as all-cause mortality or fatal and non-fatal cardiovascular disease in community-based populations. METHOD: A systematic search of electronic databases was conducted from inception through November 2021 for prospective studies evaluating optimism and adverse outcomes. Two reviewers independently selected prospective cohort studies that evaluated optimism and either all-cause mortality or cardiovascular disease and reported hazard ratios of these outcomes between optimistic and non-optimistic groups. Studies that reported odds ratio or other risk assessments were excluded. Pooled hazard ratios were calculated in random-effects meta-analyses. RESULTS: Pooled analysis of six studies (n = 181,709) showed a pooled hazard ratio of 0.87 (95% confidence interval [CI], 0.82-0.92) for all-cause mortality among those with more optimistic mindset. Analysis of seven studies (n = 201,210) showed a pooled hazard ratio of 0.59 (95% CI, 0.37-0.93) for cardiovascular disease and pooled hazard ratio of 0.57 (95% CI, 0.07-4.56) for stroke. CONCLUSIONS: In this pooled meta-analysis, optimism was associated with a reduced risk of all-cause mortality and of cardiovascular disease. These results suggest an important relationship between psychological health and cardiovascular disease that may serve as an area for intervention by clinicians.

Artificial Intelligence-Powered Blockchains for Cardiovascular Medicine.

Clinical databases, particularly those composed of big data, face growing security challenges. Blockchain, the open, decentralized, distributed public ledger technology powering cryptocurrency, records transactions securely without the need for third-party verification. In the health care setting, decentralized blockchain networks offer a secure interoperable gateway for clinical research and practice data. Here, we discuss recent advances and potential future directions for the application of blockchain and its integration with artificial intelligence (AI) in cardiovascular medicine. We first review the basic underlying concepts of this technology and contextualise it within the spectrum of current, well known applications. We then consider specific applications for cardiovascular medicine and research in areas such as high-throughput gene sequencing, wearable technologies, and clinical trials. We then evaluate current challenges to effective implementation and future directions. We also summarise the health care applications that can be realised by combining decentralized blockchain computing platforms (for data security) and AI computing (for data analytics). By leveraging high-performance computing and AI capable of securely managing large and rapidly expanding medical databases, blockchain incorporation can provide clinically meaningful predictions, help advance research methodology (eg, via robust AI-blockchain decentralized clinical trials), and provide virtual tools in clinical practice (eg, telehealth, sensory-based technologies, wearable medical devices). Integrating AI and blockchain approaches synergistically amplifies the strengths of both technologies to create novel solutions to serve the objective of providing precision cardiovascular medicine.

Long-Term Outcomes Comparing Medical Therapy versus Revascularization for Spontaneous Coronary Artery Dissection.

The ideal management of spontaneous coronary artery dissection (SCAD) has yet to be clearly defined. We conducted a comprehensive search of Ovid MEDLINE, Ovid Embase, Ovid Cochrane Database of Systematic Reviews, Scopus, and Web of Science from database inception from 1966 through September 2020 for all original studies (randomized controlled trials and observational studies) that evaluated patients with SCAD. Study groups were defined by allocation to medical therapy (medical therapy) versus invasive therapy (invasive therapy) (ie, percutaneous coronary intervention or coronary artery bypass grafting). The risk of death (risk ratio [RR] = 0.753; 95% confidence interval [CI]: 0.21-2.73; I2 = 21.1%; P = 0.61), recurrence of SCAD (RR = 1.09; 95% CI: 0.61-1.93; I2 = 0.0%; P = 0.74), and repeat revascularization (RR = 0.64; 95% CI: 0.21-1.94; I2 = 57.6%; P = 0.38) were not statistically different between medical therapy and invasive therapy for a follow-up ranging from 4 months to 3 years. In conclusion, in this meta-analysis of observational studies, the long-term risk of death, recurrent SCAD, and repeat revascularization did not significantly differ among patients with SCAD treated with medical therapy compared with those treated with invasive therapy. These findings support the current expert consensus that patients should be treated with medical therapy when clinically stable and no high-risk features are present. Further large-scale studies including randomized controlled trials are needed to confirm these findings.

Etiologies, Trends, and Predictors of 30-Day Readmissions in Patients With Diastolic Heart Failure.

An estimated half of all heart failure (HF) populations has been categorized to have diastolic HF (DHF), but sparse data are available describing etiologies and predictors of 30-day readmission in DHF population. The study cohort was derived from the National Readmission Database 2013 to 2014, a subset of the Healthcare Cost and Utilization Project sponsored by the Agency for Healthcare Research and Quality. DHF was identified using International Classification of Diseases, 9th Revision code 428.3x in primary diagnosis field. Readmission etiologies were identified by International Classification of Diseases, 9th Revision code in primary diagnosis field. The primary outcome was 30-day readmission. Hierarchical multivariable logistic regression was used to adjust for confounders. In total, 192,394 patients with DHF were included, of which 40,927 (21.27%) patients were readmitted with total readmissions of 47,056 within 30 days. Predictors of increased readmissions were age (odds ratio [OR] 1.002, 95% confidence interval [CI] 1.001 to 1.0003, p <0.001), diabetes (OR 1.08, 95% CI 1.05 to 1.11, p <0.001), chronic pulmonary disease (OR 1.18, 95% CI 1.15 to 1.21, p <0.001), renal failure (OR 1.21, 95% CI 1.17 to 1.25, p <0.001), peripheral vascular disease (OR 1.05, 95% CI 1.02 to 1.09, p = 0.002), anemia (OR 1.12, 95% CI 1.10 to 1.15, p <0.001), transfusion during index admission (OR 1.18, 95% CI 1.13 to 1.23, p <0.001), discharge to the facility (OR 1.13, 95% CI 1.10 to 1.16, p <0.001), length of stay >2 days, and Charlson comorbidity index ≥3, whereas obesity (OR 0.82, 95% CI 0.80 to 0.85, p <0.001), elective admissions (OR 0.88, 95% CI 0.83 to 0.94, p <0.001), and non-Medicare/Medicaid primary payer were predictors of lower readmission rate. Most common etiologies of readmission were acute HF (28.01%), infections (9.54%), acute kidney injury (5.35%), acute respiratory failure (4.86%), and pneumonia (3.92%). In conclusion, DHF population with higher comorbidity burden, longer length of stay, and discharge to facility were prone to increased readmissions, with most common etiologies of readmission being HF, infections, and acute kidney injury.

Short- and long-term clinical predictors of pharmacological cardioversion of persistent atrial fibrillation by dofetilide: A retrospective cohort study of 160 patients.

INTRODUCTION: Dofetilide is a class III antiarrhythmic prescribed to cardiovert persistent atrial fibrillation (AF) to sinus rhythm (SR). HYPOTHESIS: To determine the clinical predictors of cardioversion and readmission in persistent AF patients on dofetilide. METHODS: We analyzed 160 patients with persistent AF who were started on dofetilide and followed for 1 year. We examined age, sex, race, hypertension, diabetes, smoking, dyslipidemia, CAD, left ventricular ejection fraction (LVEF), creatinine, BMI and concomitant use of calcium channel blockers (CCB), ß-blockers in a multivariable logistic regression model. We also examined the same predictors in Cox regression model for AF-related readmission within 1 year of follow-up. RESULTS: 13.5% individuals did not convert to SR on dofetilide. 55.6% converted on the first dose and 83.1% converted by the fourth dose. In multivariable logistic models, dyslipidemia (OR: 2.4, CI: 1.12-5.16) and LVEF (OR: 3.83,CI: 1.37-10.8) were associated with failure to convert with the first dose. Female sex and LVEF also were associated with increased risk of failure to convert at all. Concomitant use of CCB associated with decreased risk of failure to convert to SR. In Cox proportional model, female sex, age <63 years and CAD were associated with increased AF readmission within 1 year. CONCLUSIONS: Dyslipidemia and LVEF <40% were associated with failure to cardiovert after first dose, and female sex and LVEF 40% were related to failure to convert at all on dofetilide in persistent AF patients. After 1-year follow-up, female sex, known CAD, and age <63 years were associated with increased AF readmissions.

Is multivessel intervention in ST-elevation myocardial infarction associated with early harm? Insights from observational data.

OBJECTIVES: Appraisal of evidence for recommendations for multivessel coronary intervention in ST-elevation myocardial infarction (STEMI). BACKGROUND: Multi-vessel disease (MVD) is common in patients with ST-segment elevation myocardial infarction (STEMI). Published observational data has suggested that multi-vessel percutaneous coronary intervention (MVPCI) at the time of initial hospitalization for STEMI may be harmful in contrast to evidence from recent randomized trials. METHODS: We queried the nationwide inpatient sample (NIS) to identify characteristics of hemodynamically stable STEMI patients undergoing MVPCI on index admission and subsequent mortality in raw and adjusted models. To compare our results with published observational data, we searched multiple databases from inception through July 15, 2015. RESULTS: From 2009-2012, excluding cardiac arrest or cardiogenic shock, there were 11,454 MVPCI and 157,011 single-vessel PCI (SVPCI) for STEMI patients in the NIS. Compared to SVPCI, MVPCI on index admission was not associated with higher in-hospital mortality in unadjusted or propensity-adjusted models (MVPCI 1.91% vs. SVPCI 5.32%, P < 0.001). Our analysis of index hospitalization MVPCI versus infarct-related artery (IRA)-only PCI in the meta-analysis of observational studies (19 studies, N = 76,399) demonstrated no difference in in-hospital mortality with MVPCI compared with IRA-only PCI (OR 0.87, 95% CI 0.65-1.17; P = 0.37), with confirmation in study sequential analysis. CONCLUSIONS: MVPCI is uncommonly performed during index hospitalization in hemodynamically stable STEMI patients, likely reflecting widespread adherence to prior guidelines. Based on observational data, there does not appear to be early harm associated with MVPCI on the index admission in hemodynamically stable STEMI patients. © 2016 Wiley Periodicals, Inc.