| Literature DB >> 32846051 |
Rezan Abdul Kadir1,2, Takao Kobayashi3, Toshiaki Iba4, Offer Erez5, Jecko Thachil6, Sajida Kazi7, Ann Kinga Malinowski8, Maha Othman9,10.
Abstract
BACKGROUND: Novel coronavirus (SARS-CoV-2), which causes COVID-19, has thus far affected more than 15 million individuals, resulting in more than 600 000 deaths worldwide, and the number continues to rise. In a large systematic review and meta-analysis of the literature including 2567 pregnant women, 7% required intensive care admission, with a maternal mortality ~1% and perinatal mortality below 1%. There has been a rapid increase in publications on COVID-19-associated coagulopathy, including disseminated intravascular coagulopathy and venous thromboembolism, in the non-pregnant population, but very few reports of COVID-19 coagulopathy during pregnancy; leaving us with no guidance for care of this specific population.Entities:
Keywords: COVID-19; COVID-19 pregnancy registry; pregnancy and coagulopathy; pregnancy and venous thromboembolism; thromboprophylaxis in pregnancy
Mesh:
Year: 2020 PMID: 32846051 PMCID: PMC7461532 DOI: 10.1111/jth.15072
Source DB: PubMed Journal: J Thromb Haemost ISSN: 1538-7836 Impact factor: 16.036
Study characteristics and quality based on the risk of bias assessment Newcastle‐Ottawa scale
| Author, country | Single vs multicenter | Design | Number of patients/pregnancies | Inclusion criteria | Risk of bias assessment (NOS) | ||||
|---|---|---|---|---|---|---|---|---|---|
| Selection | Comparability | Outcome | Total/8 | Risk of bias: 1‐3: high 4‐6: moderate 7‐8: low | |||||
| COVID‐19 (Pregnant) | |||||||||
|
National cohort study using the UK Obstetric Surveillance System (UKOSS) United Kingdom | Multicenter | Prospective Cohort | 427 | COVID‐19 |
| ‐ |
| 5 | Moderate |
|
Ferrazzi Italy | Single | Retrospective cohort | 42 | COVID‐19 |
| ‐ |
| 6 | Moderate |
|
Breslin Unites States | Single | Retrospective cohort | 43 | COVID‐19 |
|
|
| 7 | Low |
|
Qiancheng China | Single | Retrospective cohort | 24 | COVID‐19 |
|
|
| 7 | Low |
|
Pierce‐Williams United States | Multicenter | Retrospective cohort | 64 | COVID‐19 |
|
|
| 7 | Low |
|
Yan China | Multicenter | Retrospective cohort | 116 | COVID‐19 |
|
|
| 7 | Low |
|
Collin Sweden | Multicenter | Retrospective cohort | 53 | COVID‐19 |
|
|
| 7 | Low |
|
Ellington United States | Multicenter | Retrospective cohort | 91 412 | COVID‐19 |
| ‐ |
| 6 | Moderate |
|
Pereira Spain | Single | Retrospective cohort | 60 | COVID‐19 |
| ‐ |
| 5 | Moderate |
|
Sentilhes France | Single | Retrospective cohort | 54 | COVID‐19 |
| ‐ |
| 5 | Moderate |
|
Nayak India | Single | Retrospective cohort | 977 | COVID‐19 |
|
|
| 7 | Low |
| COVID‐19 coagulopathy (non‐pregnant) | |||||||||
|
Tang China | Single | Prospective cohort | 183 | COVID‐19 |
| ‐ |
| 5 | Moderate |
|
Klok Netherlands | Multicenter | Prospective cohort | 184 | COVID‐19 |
| ‐ |
| 4 | Moderate |
|
Middeldorp Netherlands | Single | Prospective cohort | 198 | COVID‐19 |
|
|
| 6 | Moderate |
|
Tang China | Single | Retrospective cohort | 449 | COVID‐19 |
|
|
| 4 | Moderate |
|
Fogarty Ireland | Single | Retrospective cohort | 83 | COVID‐19 |
| ‐ |
| 6 | Moderate |
|
Panigada Italy | Single | Prospective cohort | 24 | COVID‐19 |
| ‐ | ‐ | 2 | High |
|
Llitjos France | Single | Retrospective cohort | 26 | COVID‐19 |
| ‐ | ‐ | 2 | High |
|
Cui China | Single | Retrospective cohort | 81 | COVID‐19 |
| ‐ |
| 3 | High |
|
Helms France | Multicenter | Prospective cohort | 150 | COVID‐19 |
|
|
| 6 | Moderate |
|
Ranucci Italy | Single | Retrospective cohort | 16 | COVID‐19 |
| ‐ |
| 3 | High |
|
Poissy France | Single | Retrospective cohort | 107 | COVID‐19 |
| ‐ |
| 3 | High |
|
Spiezia Italy | Single | Prospective cohort | 22 | COVID‐19 |
|
| 3 | High | |
|
Lodigiani Italy | Single | Retrospective cohort | 388 | COVID‐19 |
| ‐ |
| 5 | Moderate |
|
Stoneham United Kingdom | Single | Retrospective cohort | 274 | COVID‐19 |
|
|
| 7 | Low |
|
Longchamp Switzerland | Single | Retrospective cohort | 25 | COVID‐19 |
| ‐ |
| 4 | Moderate |
|
Ren China | Multicenter | Retrospectivecohort | 48 | COVID‐19 |
| ‐ |
| 4 | Moderate |
|
Al‐Samkari United States | Multicenter | Retrospective cohort | 400 | COVID‐19 |
| ‐ |
| 4 | Moderate |
|
Hippensteel United States | Single | Retrospective cohort | 106 | COVID‐19 |
| ‐ |
| 4 | Moderate |
|
Fraissé France | Single | Retrospective cohort | 92 | COVID‐19 |
| ‐ |
| 4 | Moderate |
|
Santoliquido Italy | Single | Retrospective cohort | 84 | COVID‐19 |
| ‐ |
| 4 | Moderate |
|
Rieder Germany | Single | Prospective cohort | 190 | COVID‐19 |
|
|
| 7 | Low |
|
Pavoni Italy | Single | Retrospective cohort | 40 | COVID‐19 |
| ‐ |
| 6 | Moderate |
|
Nougier France | Single | Retrospective cohort | 78 | COVID‐19 |
|
|
| 7 | Low |
| COVID‐19 coagulopathy (pregnant) | |||||||||
|
Vlachodimitropoulou Canada | Single | Case report | 2 |
|
|
|
| 6 | Moderate |
|
Martinelli Italy | Single | Case report | 1 |
|
|
|
| 4 | Moderate |
|
Mohammadi Iran | Single | Case report | 1` |
|
|
|
| 4 | Moderate |
|
Ahmed United Kingdom | Single | Case Report | 1 |
|
|
|
| 6 | Moderate |
NOS, Newcastle Ottawa scale.
The number of stars is the standard assessment method used in this scale. The maximum number of stars a study could be awarded was 8 and studies receiving more than 6, 4–6, and <4 stars were considered to be at low, intermediate, and high risk of bias, respectively.
Hemostatic parameters in COVID‐19 coagulopathies in non‐pregnant women. A summary of published studies, ISTH guidance, and expert opinion for recognition and management in hospitalized patients
| Normal values | Pathological alterations in COVID‐19 | ISTH Interim Guidance and Expert Opinion | ||
|---|---|---|---|---|
| PT | 9.9–13.1 seconds | Prolonged in 50% of non‐survivors but only 7% of survivors ( |
Measure in all patients with COVID‐19 to identify and monitor coagulopathy Admit if PT is prolonged Monitor PT at least twice daily in all hospital admitted patients In bleeding patients (rare in COVID‐19), maintain PT ratio < 1.5 | |
| APTT | 24–36 seconds | No significant changes at admission but significant prolongation of PT and not APTT at day 4 | ||
| D‐dimer | 0–0.5 μg/mL |
>0.5 μg/mL is associated with severe disease compared Significantly elevated in critically ill patients compared to non |
Measure in all patients with COVID‐19 to identify and monitor coagulopathy Admit if markedly raised Monitor at least twice daily in all hospital admitted patients | |
| Platelet | 150–450 × 109/L |
<100 × 109/L is associated with severe disease or in critically ill Increased platelet counts in severe cases due to cytokine storm |
Measure in all patients with COVID‐19 to identify and monitor coagulopathy Admit if count < 100×109/L Monitor at least twice daily in all hospital admitted patients In bleeding patients (rare in COVID‐19), maintain count > 50 × 109/L | |
| Fibrinogen | 2–4 g/L | Increased > 4 upon admission with significant difference between survivors and non‐survivors |
Measure in all patients with COVID‐19 to identify and monitor coagulopathy and admit if >2 g/L Monitor at least twice daily in all hospital admitted patients In bleeding patients (rare in COVID‐19), maintain >2.0 g/L | |
| FDPs | Increased | |||
| Lupus Anticoagulant | Positive | |||
| VTE risk | Number of patients admitted to ICU | Number (percentage) of patient developed VTE |
Prophylactic LMWH in all patients (including non‐critically ill) who require hospital admission, in the absence of contraindications (active bleeding and platelet count <25 × 109/L). Abnormal PT or APTT not a contraindication) Consider VTE in the setting of rapid respiratory deterioration and/or high D‐dimer Consider CT angiography or ultrasound of the venous system of the lower extremities to evaluate presence/absence of VTE | |
| 184 | 28 (27%) | |||
| 75 | 35 (47%) | |||
| 150 | 64 (42%) | |||
| 48 | 8 (16.7%) | |||
Coagulation parameters in normal pregnancy (third trimester) and possible alterations in COVID‐19 in association with pregnancy
| Laboratory parameter | Normal values | Possible alterations in pregnancy with COVID‐19 | Potential prognostic markers | Levels reported in severe COVID‐19 outside pregnancy | |||
|---|---|---|---|---|---|---|---|
| Third trimester of pregnancy | Non‐ pregnant women | ||||||
| PT | 8.5–11.0 seconds | 16.0 seconds |
PPH | Yes |
3 s extension >6 in 47.6% of non‐survivors with DIC compared to 3 in survivors | ||
| APTT | 25.5–42.5 seconds | 27.0–37.0 seconds |
PPH Consumption events
| Yes | 5 s extension | ||
| D‐dimer | 0.16–1.7 μg/mL |
VTE Trauma Liver/ renal disease |
Yes (severe disease and in hospital mortality Cut off: 2.0 μg/mL) |
2.12 in non survivors Vs 0.61 in survivors >3 in 86% non‐survivors with DIC | |||
|
Platelet count Mean (range) | Third trimester | Delivery | PP |
Cytokines induced |
Yes Thrombocytopenia (severe disease + mortality) |
<100 in 33% of non‐survivors <50 in 24% non‐survivors with DIC | |
| 225 (57–505) × 109/L | 217 (63–552) × 109/L | 264 (91–575) × 109/L | 273 (111–999) × 109/L | ||||
| Fib | 2.48–5.06 g/L | 2.5–4.0 g/L |
Inflammation
| Yes |
5.16 in non survivors vs 4.5 in survivors (non signifcant difference) <1 in 29% non‐survivors with DIC | ||
| FDPs | <15 μg/mL | 3.09 ± 1.96 μg/mL |
Acute phase reactant | 7.6 in non survivors vs 4.0 in survivors | |||
Please note this table is a guide. Age and ethnic variations exist and need to be considered. References: , , , , , .
Abbreviations: APTT, activated partial thromboplastin time; DIC, disseminated intravascular coagulopathy; FDPs, fibrin degradation products; Fib, fibrinogen; PP, post partum; PT, prothrombin time; VTE, venous thromboembolism.
Reference:30; 71% of non‐survivors developed DIC (ISTH DIC score of ≥5) vs 0.6% of survivors.