Prevalence and severity of cognitive dysfunction in patients referred for transcatheter aortic valve implantation (TAVI): clinical and cognitive impact at 1 year.

AIM: We estimated the proportion and severity of cognitive disorders in an unselected population of patients referred for transcatheter aortic valve implantation (TAVI). Second, we describe clinical and cognitive outcomes at 1 year. METHODS: Eligible patients were aged ≥ 70 years, with symptomatic aortic stenosis and an indication for TAVI. The Montreal Cognitive Assessment (MoCA) was used to assess cognitive dysfunction (CD), defined as no CD if score ≥ 26, mild CD if 18-25; moderate CD if 10-18, and severe CD if < 10. We assessed survival and in-hospital complications at 6 months and 1 year. RESULTS: Between June 2019 and October 2020, 105 patients were included; 21 (20%) did not undergo TAVI, and thus, 84 were analyzed; median age 85 years, 53.6% females, median EuroScore 11.5%. Median MoCA score was 22 (19-25); CD was excluded in 18 (21%), mild in 50 (59.5%), moderate in 15 (19%) and severe in 1. Mean MoCA score at follow-up was 21.9(± 4.69) and did not differ significantly from baseline (21.79 (± 4.61), p = 0.73). There was no difference in success rate, in-hospital complications, or death across CD categories. CONCLUSION: The clinical course of patients with mild or moderate CD is not different at 1 year after TAVI compared to those without cognitive dysfunction.

Adjusting D-dimer to Lung Disease Extent to Exclude Pulmonary Embolism in COVID-19 Patients (Co-LEAD).

OBJECTIVE: D-dimer measurement is a safe tool to exclude pulmonary embolism (PE), but its specificity decreases in coronavirus disease 2019 (COVID-19) patients. Our aim was to derive a new algorithm with a specific D-dimer threshold for COVID-19 patients. METHODS: We conducted a French multicenter, retrospective cohort study among 774 COVID-19 patients with suspected PE. D-dimer threshold adjusted to extent of lung damage found on computed tomography (CT) was derived in a patient set (n = 337), and its safety assessed in an independent validation set (n = 337). RESULTS: According to receiver operating characteristic curves, in the derivation set, D-dimer safely excluded PE, with one false negative, when using a 900 ng/mL threshold when lung damage extent was <50% and 1,700 ng/mL when lung damage extent was ≥50%. In the derivation set, the algorithm sensitivity was 98.2% (95% confidence interval [CI]: 94.7-100.0) and its specificity 28.4% (95% CI: 24.1-32.3). The negative likelihood ratio (NLR) was 0.06 (95% CI: 0.01-0.44) and the area under the curve (AUC) was 0.63 (95% CI: 0.60-0.67). In the validation set, sensitivity and specificity were 96.7% (95% CI: 88.7-99.6) and 39.2% (95% CI: 32.2-46.1), respectively. The NLR was 0.08 (95% CI; 0.02-0.33), and the AUC did not differ from that of the derivation set (0.68, 95% CI: 0.64-0.72, p = 0.097). Using the Co-LEAD algorithm, 76 among 250 (30.4%) COVID-19 patients with suspected PE could have been managed without CT pulmonary angiography (CTPA) and 88 patients would have required two CTs. CONCLUSION: The Co-LEAD algorithm could safely exclude PE, and could reduce the use of CTPA in COVID-19 patients. Further prospective studies need to validate this strategy.

Elevated D-dimers and lack of anticoagulation predict PE in severe COVID-19 patients.

BACKGROUND: Coronavirus disease 2019 (COVID-19) may predispose to venous thromboembolism. We determined factors independently associated with computed tomography pulmonary angiography (CTPA)-confirmed pulmonary embolism (PE) in hospitalised severe COVID-19 patients. METHODS: Among all (n=349) patients hospitalised for COVID-19 in a university hospital in a French region with a high rate of COVID-19, we analysed patients who underwent CTPA for clinical signs of severe disease (oxygen saturation measured by pulse oximetry ≤93% or breathing rate ≥30 breaths·min-1) or rapid clinical worsening. Multivariable analysis was performed using Firth penalised maximum likelihood estimates. RESULTS: 162 (46.4%) patients underwent CTPA (mean±sd age 65.6±13.0 years; 67.3% male (95% CI 59.5-75.5%). PE was diagnosed in 44 (27.2%) patients. Most PEs were segmental and the rate of PE-related right ventricular dysfunction was 15.9%. By multivariable analysis, the only two significant predictors of CTPA-confirmed PE were D-dimer level and the lack of any anticoagulant therapy (OR 4.0 (95% CI 2.4-6.7) per additional quartile and OR 4.5 (95% CI 1.1-7.4), respectively). Receiver operating characteristic curve analysis identified a D-dimer cut-off value of 2590 ng·mL-1 to best predict occurrence of PE (area under the curve 0.88, p<0.001, sensitivity 83.3%, specificity 83.8%). D-dimer level >2590 ng·mL-1 was associated with a 17-fold increase in the adjusted risk of PE. CONCLUSION: Elevated D-dimers (>2590 ng·mL-1) and absence of anticoagulant therapy predict PE in hospitalised COVID-19 patients with clinical signs of severity. These data strengthen the evidence base in favour of systematic anticoagulation, and suggest wider use of D-dimer guided CTPA to screen for PE in acutely ill hospitalised patients with COVID-19.