| Literature DB >> 32504198 |
Antonio Landi1, Stefano De Servi2.
Abstract
Entities:
Mesh:
Year: 2020 PMID: 32504198 PMCID: PMC7274268 DOI: 10.1007/s11739-020-02393-1
Source DB: PubMed Journal: Intern Emerg Med ISSN: 1828-0447 Impact factor: 3.397
Main characteristics of studies enrolling critically ill patients with COVID-19
| Klok et al. ( | Lodigiani et al. ( | Helms et al. ( | Thomas et al. ( | |
|---|---|---|---|---|
| Age (years)—mean | 64 (SD 12) | 61; IQR (55–69) | 63; IQR (53–71) | 59 (SD 13) |
| Male sex (%) | 139 (76%) | 49 (80.3%) | 122 (81.3%) | 44 (69%) |
| Body weight (kg, SD) | 87 (16) | BMI ≥30 in 17/57 (29.8%) | n.a | 88 (20) |
| Active cancer (%) | 5 (2.7%) | 2 (3.3%) | 9 (6.0%) | 1 (2%) |
| Therapeutic anticoagulation at admission (%) | 17 (9.2%) | 2 (3.3%) | n.a | 1 (2%) |
| Invasive mechanical ventilation (%) | n.a | n.a | 150 (100%) | 52 (83%) |
| Heparin treatment (%) | ||||
| Prophylactic | 184 (100%)a | 59/61 (96.7%) | 105 (70%) | 63 (100%) |
| Therapeutic | 0 | 2/61 (3.3%) | 45 (30%) | 0 |
| Median D-dimer (mg/L) | n.a | n.a | 2.27 [1.16–20.0] | 394 [122–3627] |
| Thrombotic complications | ||||
| Pulmonary embolism | 25 (13.6%) | 2/48 (4.2%) | 25 (16.7%) | 5 (7.9%) |
| Other venous thromboembolic events | 3 (1.6%) | 6/48 (12.5%) | 3 (2.0%) | 1 (1.6%) |
| Arterial thrombotic events | 3 (1.6%) | 4/48 (8.3%) | 4 (2.7%) | 2 (3.2%) |
aRegimens differed between centers and doses increased over time
Fig. 1Padua Prediction Score (PPS) for venous thromboembolic risk assessment. Assigning 1–3 points to each determinant, a score ≥4 identifies patients at high risk of thromboembolic complications. MI myocardial infarction, VTE venous thromboembolism, BMI body mass index