BACKGROUND: Postoperative atrial fibrillation (POAF) is a common complication after cardiac surgery being associated with poorer outcomes. Revealing before the operation of left atrial subtle structural/functional abnormalities may help to identify patients at increased risk of POAF. We investigated the role of left atrial strain parameters by preoperative speckle tracking echocardiography as independent predictors of POAF in patients undergoing coronary artery bypass graft. METHODS: Consecutive patients undergoing isolated coronary artery bypass graft were prospectively enrolled at three Italian centers. All patients underwent transthoracic echocardiography before the operation. The occurrence of POAF up to discharge was monitored. RESULTS: Overall, a total of 310 patients were included. POAF was demonstrated in 103 patients (33%). At receiver operating characteristic curve analysis, lower global peak atrial longitudinal strain (PALS) values significantly predicted the risk of POAF (area under the curve, 0.74; P <0.001). The optimal cutoff value for the arrhythmia prediction was a global PALS value <28%, with a specificity of 86% and a sensitivity of 36%. The incidence of POAF was 51% in patients with global PALS <28% versus 14% in those with PALS ≥28% ( P <0.001), with a POAF-free survival at Kaplan-Meier analysis of 45.4% and 85.7%, respectively ( P <0.001). At multivariate analysis, a global PALS <28% carried a 3.6-fold higher risk of POAF (hazard ratio, 3.6 [95% CI, 2.2–5.9]; P <0.001). The risk increase was even higher when PALS <28% was associated with age ≥70 years (adjusted hazard ratio, 11.2 [4.7–26.6], P <0.001). CONCLUSIONS: A presurgery global PALS <28% is a specific parameter to stratify patients at increased risk of POAF after coronary artery bypass graft. This assessment can be useful to identify patients at higher arrhythmic risk in whom perioperative preventive strategies and stricter monitoring aimed at early diagnosing and treating POAF may be applied.

Clinical outcome data of patients discharged after Coronavirus disease 2019 (COVID-19) are limited and no study has evaluated predictors of cardiovascular prognosis in this setting. Our aim was to assess short-term mortality and cardiovascular outcome after hospitalization for COVID-19. A prospective cohort of 296 consecutive patients discharged after COVID-19 from two Italian institutions during the first wave of the pandemic and followed up to 6 months was included. The primary endpoint was all-cause mortality. The co-primary endpoint was the incidence of the composite outcome of major adverse cardiac and cerebrovascular events (MACCE: cardiovascular death, myocardial infarction, stroke, pulmonary embolism, acute heart failure, or hospitalization for cardiovascular causes). The mean follow-up duration was 6 ± 2 months. The incidence of all-cause death was 4.7%. At multivariate analysis, age was the only independent predictor of mortality (aHR 1.08, 95% CI 1.01–1.16). MACCE occurred in 7.2% of patients. After adjustment, female sex (aHR 2.6, 95% CI 1.05–6.52), in-hospital acute heart failure during index hospitalization (aHR 3.45, 95% CI 1.19–10), and prevalent atrial fibrillation (aHR 3.05, 95% CI 1.13–8.24) significantly predicted the incident risk of MACCE. These findings may help to identify patients for whom a closer and more accurate surveillance after discharge for COVID-19 should be considered.

Aims: Considering the lack of evidence, we evaluated the impact on cardiovascular outcome of the systematic introduction in our institution of a personalized strike early and strong (SES) approach for lipid-lowering therapy (LLT) in patients admitted for acute myocardial infarction (MI). Methods and results: We retrospectively analysed data from 500 consecutive patients hospitalized across three periods: Period A (N = 198, January–June 2019), when the low-density lipoprotein cholesterol (LDL-C) goal was <70 mg/dL and a stepwise LLT approach was recommended; Period B (N = 180, January–June 2021), when the LDL-C goal was <55 mg/dL and a stepwise approach was recommended; Period C (N = 122, January–June 2023), when the LDL-C goal was <55 mg/dL and our SES protocol was implemented. Primary endpoints were achievement of the LDL-C goal during follow-up and 1-year incidence of major adverse cardiovascular events (MACE). Compared to the other periods, in Period C, there was a higher use of potent statins, alone or in combination with ezetimibe, and of proprotein convertase subtilisin/kexin type 9 inhibitor inhibitors at discharge. This translated into higher achievement of the LDL-C goal (83% vs. 55% in Period A and 43% in Period B; P < 0.001) and reduced incidence of MACE (3% vs. 12% and 11%; P = 0.026). MACE rates were lowest in patients with early and sustained LDL-C <55 mg/dL and in those achieving both LDL-C <55 mg/dL and ≥50% LDL-C reduction. Conclusion: The systematic introduction of a personalized, SES strategy for LLT in patients with acute MI led to greater achievement of LDL-C goal and lower risk of MACE at 1 year vs. the stepwise approach.

Background: Echocardiographic Pulmonary to Left Atrial Ratio (ePLAR) represents an accurate and sensitive non-invasive tool to estimate the trans-pulmonary gradient. The prognostic value of ePLAR in hospitalized patients with COVID-19 remains unknown. We aimed to investigate the predictive value of ePLAR on in-hospital mortality in patients with COVID-19. Methods: One hundred consecutive patients admitted to two Italian institutions for COVID-19 undergoing early ( 0.28 m/s at baseline showed non-significant but markedly increased in-hospital mortality compared to those having ePLAR ≤ 0.28 m/s (27% vs. 10.8%, p = 0.055). Multivariate Cox regression showed that an ePLAR > 0.28 m/s was independently associated with an increased risk of death (HR 5.07, 95% CI 1.04–24.50, p = 0.043), particularly when associated with increased sPAP (p for interaction = 0.043). Conclusions: A high ePLAR value at baseline predicts in-hospital death in patients with COVID-19, especially in those with elevated pulmonary arterial pressure. These results support an early ePLAR assessment in patients admitted for COVID-19 to identify those at higher risk and potentially guide strategies of diagnosis and care.