| Literature DB >> 32330308 |
Helen Fogarty1,2,3, Liam Townsend4, Cliona Ni Cheallaigh4, Colm Bergin4, Ignacio Martin-Loeches1,5, Paul Browne6, Christopher L Bacon6, Richard Gaule6, Alexander Gillett6, Mary Byrne2, Kevin Ryan2, Niamh O'Connell2, Jamie M O'Sullivan1, Niall Conlon7, James S O'Donnell1,2,3,6.
Abstract
Although the pathophysiology underlying severe COVID19 remains poorly understood, accumulating data suggest that a lung-centric coagulopathy may play an important role. Elevated D-dimer levels which correlated inversely with overall survival were recently reported in Chinese cohort studies. Critically however, ethnicity has major effects on thrombotic risk, with a 3-4-fold lower risk in Chinese compared to Caucasians and a significantly higher risk in African-Americans. In this study, we investigated COVID19 coagulopathy in Caucasian patients. Our findings confirm that severe COVID19 infection is associated with a significant coagulopathy that correlates with disease severity. Importantly however, Caucasian COVID19 patients on low molecular weight heparin thromboprophylaxis rarely develop overt disseminated intravascular coagulation (DIC). In rare COVID19 cases where DIC does develop, it tends to be restricted to late-stage disease. Collectively, these data suggest that the diffuse bilateral pulmonary inflammation observed in COVID19 is associated with a novel pulmonary-specific vasculopathy termed pulmonary intravascular coagulopathy (PIC) as distinct to DIC. Given that thrombotic risk is significantly impacted by race, coupled with the accumulating evidence that coagulopathy is important in COVID19 pathogenesis, our findings raise the intriguing possibility that pulmonary vasculopathy may contribute to the unexplained differences that are beginning to emerge highlighting racial susceptibility to COVID19 mortality.Entities:
Keywords: COVID19; D-dimer; coagulation parameter; novel coronavirus pneumonia
Mesh:
Substances:
Year: 2020 PMID: 32330308 PMCID: PMC7264579 DOI: 10.1111/bjh.16749
Source DB: PubMed Journal: Br J Haematol ISSN: 0007-1048 Impact factor: 8.615
Demographics and coagulation parameters of COVID19 patients on admission and Day +4.
| Parameters | Normal range | Total ( | Survivors and non‐ICU | Non‐survivors and/or ICU |
|
|---|---|---|---|---|---|
| Age (years) | 62 ± 16·3 | 60·5 ± 17·7 | 67·9 ± 11·9 | 0·02* | |
| Sex (male/female) | 55/28 | 33/17 | 22/11 | ||
| Underlying co‐morbidities | 67 (80·7%) | 38 (76%) | 29 (87·9%) | ||
| On admission | |||||
| PT (s) | 9·9–13·1 | 12·9 (12–14·5) | 12·6 (11·7–14·5) | 12·9 (12·2–14·5) | 0·11 |
| APTT (s) | 24–36 | 31 (28·2–31·9) | 31.3 (29.3‐33.1) | 30.4 (28.2‐32.2) | 0.52 |
| Fibrinogen (g/l) | 1·9–3·5 | 4·7 (4·4–6·6) | 4·5 (3·7–6·2) | 5·6 (4·4–6·6) | 0·045* |
| D‐dimer (nanogram/ml) | 0–500 | 732 (553–1580) | 804 (513–1290) | 1003 (536·5–1782) | 0·018* |
| Platelets (×109/l) | 140–450 | 196 (162·3–227) | 201 (161–251) | 196 (153–289) | 0·47 |
| C‐reactive protein (mg/l) | 0–5 | 56·1 (12·5–122·5) | 37·9 (7·9–92·1) | 94·8 (35–158·5) | 0·0005*** |
| Day 4 of admission | |||||
| PT (s) | 9·9–13·1 | 12·8 (12·4–13·8) | 12·5 (12·2–14·1) | 13·1 (12·5–14·5) | 0·007** |
| APTT (s) | 24–36 | 31·1 (29·8–33·1) | 31·3 (29·5–35·3) | 30·8 (28·3–33·4) | 0·35 |
| Fibrinogen (g/l) | 1·9–3·5 | 4·9 (4·6–7·6) | 5 (3·6–6·5) | 5 (4·2–7·1) | 0·29 |
| D‐dimer (nanogram/ml) | 0–500 | 881 (738·5–3459) | 803 (529–1549) | 1210 (603·5–3623) | 0·003** |
| Platelets (×109/l) | 140–450 | 212 (153–309) | 203 (153–323) | 231 (154–328·8) | 0·52 |
| C‐reactive protein (mg/l) | 0–5 | 71 (33·3–225·7) | 46·1 (21–105·9) | 107 (58·1–222·5) | 0·001** |
P values are for survivors and non‐ICU (intensive care unit) compared to non‐survivors and/or ICU admission. Data are presented as mean ± SD or median (interquartile range) as appropriate (ns; not significant; *, P < 0·05, **, P < 0·01; ***, P < 0·001). PT, prothrombin time; APTT, activated partial thromboplastin time.
Underlying co‐morbidities: cardiovascular conditions including hypertension, ischaemic heart disease, stroke, type 2 diabetes mellitus and hyperlipidemia were most common. Other conditions included asthma, chronic obstructive pulmonary disease, solid organ or haematological cancer, and obesity.
Fig 1Serial coagulation parameters in COVID19 patients following admission. Patient data are graphed as the median and interquartile range. Dotted lines represent the upper limit of the local normal range for prothrombin time (PT), activated partial thromboplastin time (APTT), D‐dimers and fibrinogen levels. Dotted line represents the lower limit of the normal range for platelet count. Survivors and patients not requiring ICU admission are in blue compared to non‐survivors and/or those needing ICU admission in red. As many non‐ICU patients had been discharged, no Day +14 data are presented for that group. [Colour figure can be viewed at wileyonlinelibrary.com]