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1.
researchsquare; 2020.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-70085.v1

ABSTRACT

Introduction: Subpleural consolidations have been found in lung ultrasound in patients with COVID-19, possibly deriving from pulmonary embolism (PE). The diagnostic utility of impact of lung ultrasound in critical-ill patients with COVID-19 for PE diagnostics however is unclear.Methods: We retrospectively evaluated all SARS-CoV2-associated ARDS patients admitted to our ICU between March 8th and May 31th 2020. They were enrolled in this study, when a lung ultrasound and a computed tomography pulmonary angiography (CTPA) were documented. In addition, wells score was calculated to estimate the probability of PE. The CTPA was used as the gold standard for the detection of PE. Results: Twenty patients met the inclusion criteria. In 12/20 patients (60%) (sub-) segmental PE were detected by CT-angiography. Lung ultrasound found subpleural consolidations in 90% of patients. PE-typical large supleural consolidations with a size ≥1cm were detectable in 65% of patients and were significant more frequent in patients with PE compared to those without (p=0.035). Large consolidations predicted PE with a sensitivity of 77% and a specificity of 71%. The Wells score was significantly higher in patients with PE compared to those without (2.7±0.8 and 1.7±0.5, respectively, p=0.042) and predicted PE with an AUC of 0.81. When combining the two modalities, comparing patients with considered/probable PE using LUS plus a Wells score ≥2 to patients with possible/unlikely PE in LUS plus a Wells score <2, PE could be predicted with a sensitivity of 100% and a specificity of 80%.Conclusion: Large consolidations detected in lung ultrasound were found frequently in COVID-19 ARDS patients with pulmonary embolism. In combination with a Wells score>2, this might indicate a high-risk for PE in COVID-19.


Subject(s)
COVID-19 , Pulmonary Embolism , Respiratory Distress Syndrome
2.
researchsquare; 2020.
Preprint in English | PREPRINT-RESEARCHSQUARE | ID: ppzbmed-10.21203.rs.3.rs-56258.v1

ABSTRACT

Background: Hypercoagulopathy in coronavirus disease 2019 (COVID-19) causing deep vein thrombosis and pulmonary artery embolism necessitate systemic anticoagulation. Case reports of intracerebral hemorrhages in ventilated COVID-19 patients warrant precaution. It is unclear however, if COVID-19 patients with acute respiratory distress syndrome (ARDS) with and without extracorporeal membrane oxygenation therapy (ECMO) have more intracerebral hemorrhages (ICH) compared to other ARDS patients.Methods: We conducted a retrospective observational single center study enrolling all patients with ARDS from 01/2018-05/2020. Patients with ARDS positive for SARS-CoV2 PCR were allocated to the COVID-19 group. Propensity score matching was performed for age, ECMO and risk of bleeding according to HAS-BLED score.Results: A total of 163, mostly severe ARDS patients were identified, 116 (71.2%) without COVID-19 and 47 (28.8%) positive for SARS-CoV-2. The two groups were comparable concerning the main confounders of ICH including age, HAS-BLED score, need for ECMO-therapy as well as anticoagulation levels reported. In 63/163 cases (38.7%), veno-venous ECMO therapy was required and ICU survival was 52.8%. Although HAS-BLED-score on admission was generally low (1.6±1.3), intracerebral hemorrhage was detected in 22 patients (13.5%) with no statistical difference between the groups (11.2 vs. 19.1% with and without SARS-CoV-2, respectively, p=0.21). Propensity score matching confirmed similar intracerebral bleeding rates in both groups (12.8 vs. 19.1% with and without SARS-CoV-2, respectively, p=0.57). Conclusions: Intracerebral hemorrhage was detectable in every tenth patient with ARDS. We found no statistically significant increased bleeding rate in patients with ARDS due to COVID-19 compared to other causes of ARDS.


Subject(s)
Coronavirus Infections , Pulmonary Embolism , Hemorrhage , Respiratory Distress Syndrome , Cerebral Hemorrhage , COVID-19 , Venous Thrombosis
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