Two-year prognosis of acute coronary syndrome during the first wave of the coronavirus disease 2019 pandemic.

BACKGROUND: The first wave of the coronavirus disease 2019 pandemic significantly changed behaviour in terms of access to healthcare. AIM: To assess the effects of the pandemic and initial lockdown on the incidence of acute coronary syndrome and its long-term prognosis. METHODS: Patients admitted for acute coronary syndrome from 17 March to 6 July 2020 and from 17 March to 6 July 2019 were included. The number of admissions for acute coronary syndrome, acute complication rates and 2-year rates of survival free from major adverse cardiovascular events or death from any cause were compared according to the period of hospitalization. RESULTS: In total, 289 patients were included. We observed a 30±3% drop in acute coronary syndrome admissions during the first lockdown, which did not recover in the 2months after it was lifted. At 2years, there were no significant differences in the combined endpoint of major adverse cardiovascular events or death from any cause between the different periods (P=0.34). Being hospitalized during lockdown was not predictive of adverse events during follow-up (hazard ratio 0.87, 95% confidence interval 0.45-1.66; P=0.67). CONCLUSIONS: We did not observe an increased risk of major cardiovascular events or death at 2years from initial hospitalization for patients hospitalized during the first lockdown, adopted in March 2020 in response to the coronavirus disease 2019 pandemic, potentially as a result of the lack of power of the study.

Two-year prognosis of acute coronary syndrome during the first wave of the coronavirus disease 2019 pandemic

Background: The first wave of the coronavirus disease 2019 pandemic significantly changed behaviour in terms of access to healthcare. Aim: To assess the effects of the pandemic and initial lockdown on the incidence of acute coronary syndrome and its long-term prognosis. Methods: Patients admitted for acute coronary syndrome from 17 March to 6 July 2020 and from 17 March to 6 July 2019 were included. The number of admissions for acute coronary syndrome, acute complication rates and 2-year rates of survival free from major adverse cardiovascular events or death from any cause were compared according to the period of hospitalization. Results: In total, 289 patients were included. We observed a 30 ± 3% drop in acute coronary syndrome admissions during the first lockdown, which did not recover in the 2 months after it was lifted. At 2 years, there were no significant differences in the combined endpoint of major adverse cardiovascular events or death from any cause between the different periods (P = 0.34). Being hospitalized during lockdown was not predictive of adverse events during follow-up (hazard ratio 0.87, 95% confidence interval 0.45–1.66;P = 0.67). Conclusions: We did not observe an increased risk of major cardiovascular events or death at 2 years from initial hospitalization for patients hospitalized during the first lockdown, adopted in March 2020 in response to the coronavirus disease 2019 pandemic, potentially as a result of the lack of power of the study.

Feasibility, Prediction and Association of Right Ventricular Free Wall Longitudinal Strain with 30-Day Mortality in Severe COVID-19 Pneumonia: A Prospective Study.

INTRODUCTION: Right ventricular (RV) systolic dysfunction (RVsD) is a common complication of coronavirus infection 2019 disease (COVID-19). The right ventricular free wall longitudinal strain parameter (RV-FWLS) is a powerful predictor of mortality. We explored the performance of RVsD parameters for predicting 30-day mortality and the association between RV-FWLS and 30-day mortality. METHODS: COVID-19 patients hospitalized at Amiens University Hospital in the critical care unit with transthoracic echocardiography were included. We measured tricuspid annular plane systolic excursion (TAPSE), the RV S' wave, RV fractional area change (RV-FAC), and RV-FWLS. The diagnostic performance of RVsD parameters as predictors for 30-day mortality was evaluated by the area under the receiver operating characteristic (ROC) curve (AUC). RVsD was defined by an RV-FWLS < 21% to explore the association between RVsD and 30-day mortality. RESULTS: Of the 116 patients included, 20% (n = 23/116) died and 47 had a RVsD. ROC curve analysis showed that RV-FWLS failed to predict 30-day mortality, as did conventional RV parameters (all p > 0.05). TAPSE (21 (19-26) mm vs. 24 (21-27) mm; p = 0.024) and RV-FAC (40 (35-47)% vs. 47 (41-55)%; p = 0.006) were lowered in the RVsD group. In Cox analysis, RVsD was not associated with 30-day mortality (hazard ratio = 1.12, CI 95% (0.49-2.55), p = 0.78). CONCLUSION: In severe COVID-19 pneumonia, RV-FWLS was not associated with 30-day mortality.

Association between the Right Ventricular Longitudinal Shortening Fraction and Mortality in Acute Respiratory Distress Syndrome Related to COVID-19 Infection: A Prospective Study.

INTRODUCTION: Right ventricular systolic dysfunction (RVsD) increases acute respiratory distress syndrome mortality in COVID-19 infection (CARDS). The RV longitudinal shortening fraction (RV-LSF) is an angle-independent and automatically calculated speckle-tracking parameter. We explored the association between RV-LSF and 30-day mortality in CARDS patients. METHODS: Moderate-to-severe CARDS patients hospitalized at Amiens University Hospital with transesophageal echocardiography performed within 48 h of intensive care unit admission were included. RVsD was defined by an RV-LSF of <20%. The patients were divided into two groups according to the presence of RVsD. Using multivariate Cox regression, clinical and echocardiographic risk factors predicting 30-day mortality were evaluated. RESULTS: Between 28 February 2020 and 1 December 2021, 86 patients were included. A total of 43% (n = 37/86) of the patients showed RVsD and 22% (n = 19/86) of the patients died. RV-LSF was observed in 26 (23.1-29.7)% of the no-RVsD function group and 16.5 (13.7-19.4)% (p < 0.001) of the RVsD group. Cardiogenic shock (n = 7/37 vs. 2/49, p = 0.03) and acute cor pulmonale (n = 18/37 vs. 10/49, p = 0.009) were more frequent in the RVsD group. The 30-day mortality was higher in the RVsD group (15/37 vs. 4/49, p = 0.001). In a multivariable Cox model, RV-LSF was an independent mortality factor (HR 4.45, 95%CI (1.43-13.8), p = 0.01). CONCLUSION: in a cohort of moderate-to-severe CARDS patients under mechanical ventilation, RVsD defined by the RV-LSF was associated with higher 30-day mortalities.

Automated left atrial strain analysis for predicting atrial fibrillation in severe COVID-19 pneumonia: a prospective study.

BACKGROUND: Atrial fibrillation (AF) is the most documented arrhythmia in COVID-19 pneumonia. Left atrial (LA) strain (LAS) analysis, a marker of LA contractility, have been associated with the development of AF in several clinical situations. We aimed to assess the diagnostic ability of LA strain parameters to predict AF in patients with severe hypoxemic COVID-19 pneumonia. We conducted a prospective single center study in Amiens University Hospital intensive care unit (ICU) (France). Adult patients with severe or critical COVID-19 pneumonia according to the World Health Organization definition and in sinus rhythm were included. Transthoracic echocardiography was performed within 48 h of ICU admission. LA strain analysis was performed by an automated software. The following LA strain parameters were recorded: LA strain during reservoir phase (LASr), LA strain during conduit phase (LAScd) and LA strain during contraction phase (LASct). The primary endpoint was the occurrence of AF during ICU stay. RESULTS: From March 2020 to February of 2021, 79 patients were included. Sixteen patients (20%) developed AF in ICU. Patients of the AF group were significantly older with a higher SAPS II score than those without AF. LAScd and LASr were significantly more impaired in the AF group compared to the other group (- 8.1 [- 6.3; - 10.9] vs. - 17.2 [- 5.0; - 10.2] %; P < 0.001 and 20.2 [12.3;27.3] % vs. 30.5 [23.8;36.2] %; P = 0.002, respectively), while LASct did not significantly differ between groups (p = 0.31). In a multivariate model, LAScd and SOFA cv were significantly associated with the occurrence of AF. A LAScd cutoff value of - 11% had a sensitivity of 76% and a specificity of 75% to identify patients with AF. The 30-day cumulative risk of AF was 42 ± 9% with LAScd > - 11% and 8 ± 4% with LAScd ≤ - 11% (log rank test P value < 0.0001). CONCLUSION: For patients with severe COVID-19 pneumonia, development of AF during ICU stay is common (20%). LAS parameters seem useful in predicting AF within the first 48 h of ICU admission. TRIAL REGISTRATION: NCT04354558.