| Literature DB >> 34986205 |
Sondra Maureen Nemetski1,2, Andrew Ip3,4, Joshua Josephs4,5, Mira Hellmann6,7,8.
Abstract
INTRODUCTION: COVID-19 infection has been hypothesized to precipitate venous and arterial clotting events more frequently than other illnesses.Entities:
Mesh:
Year: 2022 PMID: 34986205 PMCID: PMC8730413 DOI: 10.1371/journal.pone.0262352
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Baseline characteristics of COVID-19 patients with and without clotting events (venous or arterial) in the non-ICU and ICU settings.
| Non-ICU | ICU | |||
|---|---|---|---|---|
| Clot | No Clot | Clot | No Clot | |
| Mean Age (SD) | 66 | 60 (18.2) | 66 | 60 (20.3) |
| Men, % | 65 | 57 | 66 | 57 |
| Diabetes, % | 33 | 28 | 42 | 27 |
| Hypertension, % | 51 | 54 | 61 | 50 |
| Coronary artery disease, % | 14 | 16 | 13 | 15 |
| Cancer, % | 13 | 15 | 12 | 12 |
| History of DVT, % | 1 | 0 | 0 | 0 |
| Rheumatologic disease, % | 3 | 1 | 3 | 3 |
| Current smoker, % | 4 | 4 | 31 | 40 |
*p-value < 0.05 for the difference between patients in each setting (non-ICU or ICU) who had clotting events vs the patients who did not have clotting events, as determined by the chi-squared test.
Rates and risk ratios of venous and arterial thrombosis in COVID-19 vs non-COVID patients.
| Sample Size | Venous Events (VT/VTE) | Rate of VT/VTE | Relative Risk of VT/VTE for COVID-19 patients vs Comparison Group (95% CI) | Arterial Events (AT/ATE, MI, Stroke) | Rate of AT/ATE | Relative Risk of AT/ATE for COVID-19 patients vs Comparison Group (95% CI) | |
|---|---|---|---|---|---|---|---|
|
| |||||||
| -- Covid patients | 4451 | 194 | 4.36% |
| 411 | 9.23% |
|
| -- non- Covid patients | 14854 | 295 | 1.99% |
| 1363 | 9.18% |
|
| -- Flu | 154 | 5 | 3.25% |
| 0 | 0% |
|
| -- Total patients | 19310 | 489 | 2.53% |
| 1774 | 9.19% |
|
|
| |||||||
| -- Flu pts | 314 | 6 | 1.91% |
| 0 | 0% |
|
| -- non-Flu patients | 21203 | 488 | 2.30% |
| 1727 | 8.15% |
|
| -- Total patients | 21517 | 494 | 2.30% |
| 1727 | 8.03% |
|
| Total 2019 & 2020 Flu patients | 468 | 11 | 2.35% |
| 0 | 0% |
|
*p-value statistically significant at less than 0.05 level. (VT/VTE = Venous Thrombosis/Venous Thromboembolism; AT/ATE = Arterial Thrombosis/Arterial Thromboembolism; MI = Myocardial Infarction).
Fig 1Rates and risk ratios of venous and arterial thrombosis in COVID-19 vs non-COVID patients.
(A) Our cohort of hospitalized COVID-19 positive patients had higher rates of venous thrombotic events than non-COVID patients admitted to the hospital during the same time period in 2020 and historical controls admitted in 2019. (B) Patients admitted with COVID-19 had an increased risk of venous thromboses of 219% (RR 2.19, 95% CI 1.84–2.62, p < 0.0001) vs non-COVID patients admitted during the same time period in 2020, as well as an increased risk of 190% (RR1.90, 95% CI 1.61–2.23, p<0.0001) vs historical controls admitted during the same time period in 2019. Overall, COVID-19 patients had approximately twice the risk of clotting compared to influenza infected patients admitted in 2019 or 2020 (RR 1.85, 95% CI 1.02–3.38, p<0.05). (C) Rate of arterial thrombotic events in COVID-19 patients were similar to those in non-COVID patients admitted during the same time period in 2020, but higher than patients admitted during the same time period in 2019. (D) COVID-19 patients had an increased risk for arterial clots of 113% (RR 1.13, 95% CI 1.02–1.26) compared to non-flu patients and 115% (RR 1.15, 95% CI 1.04–1.27) compared all patients admitted in 2019. RR compared to influenza patients in 2019 and 2020 could not be calculated, as there were no arterial clots noted among patients admitted with influenza in either year. Bars represent 95% confidence intervals. *p-value statistically significant at less than 0.05 level. (VT/VTE = Venous Thrombosis/Venous Thromboembolism; AT/ATE = Arterial Thrombosis/Arterial Thromboembolism; RR = relative risk).
Rates and risk ratios of ICU admission, readmission to the hospital, and death among COVID-19 patients with clotting events.
| Rate of ICU Admission | Relative Risk of ICU Admission vs Patients without Clotting Event (95% CI) | Rate of Readmission | Relative Risk of Readmission vs Patients without Clotting (95% CI) | Rate of Death | Risk of Death vs Patients Without Clotting Event (95% CI) | |
|---|---|---|---|---|---|---|
| VTE outside of ICU | 90% |
| 10% |
| 12% |
|
| ICU VTE | -------------- |
| 4.5% |
| 68% |
|
| ATE outside of ICU | 85% |
| 17.6% |
| 11% |
|
| ICU ATE | -------------- |
| 4% |
| 100% |
|
| VTE and/or ATE outside of ICU | 88% |
| 5% |
| 8.9% |
|
| ICU VTE and/or ATE | ---------------- |
| 4% |
| 84% |
|
| No VTE or ATE during admission | 19.2% |
| 7.4% |
| 21% |
|
*p-value statistically significant at less than 0.05 level. (VT/VTE = Venous Thrombosis/Venous Thromboembolism; AT/ATE = Arterial Thrombosis/Arterial Thromboembolism).
Fig 2Impact of clotting events on risk of ICU admission, re-admission, and death.
(A) Rates of ICU admission, readmission to the hospital after discharge, and death for hospitalized COVID-19 patients with and without venous or arterial clots during their initial COVID admission. (B) COVID-19 patients who developed venous and/or arterial clots during admission were significantly more likely to require escalation to ICU care than their counterparts who did have clotting events. (C) COVID-19 patients who developed arterial clots outside of the ICU were significantly more likely to be readmitted to the hospital. While the risks of readmission for other COVID-19 patients with thrombotic events seem lower, this is likely skewed by the fact that many of those patients did not survive to initial hospital discharge, as illustrated by (D) which shows the significantly higher risk of death among COVID-19 with clotting events than those without. In the small number of patients with clots who were not admitted to the ICU, mortality was less than in the general hospital population; however, this is probably biased by the large number of palliative and hospice care patients who passed away on the floor and would not have been admitted to the ICU. Bars represent 95% confidence intervals. *p-value statistically significant at less than 0.05 level. See Table 3 for RR values. (VT/VTE = Venous Thrombosis/Venous Thromboembolism; AT/ATE = Arterial Thrombosis/Arterial Thromboembolism; RR = Relative Risk).
Risk ratios (95% CI) of clotting events in COVID-19 patients based on the use of anti-coagulation prior to admission.
| Pre-Hospital AC | No Pre-hospital AC | |
|---|---|---|
| VT/VTE outside of ICU | 1.0 (Ref) | 2.0 (0.50–7.94) |
| ICU VT/VTE | N/A | N/A |
| AT/ATE outside of ICU | 1.0 (Ref) | 3.5 (0.90–14.0) |
| VT/VTE and AT/ATE outside of ICU | 1.0 (Ref) | 0.37 (0.09–1.52) |
(VT/VTE = Venous Thrombosis/Venous Thromboembolism; AT/ATE = Arterial Thrombosis/Arterial Thromboembolism; AC = Anticoagulation).
Comparison of D-dimer levels in the first 48 hours of hospitalization between those with and without thrombosis admitted to the general hospital floors.
| N = 1172 | Overall | Patients without Clot | Patients with Clot | P-value for Difference |
|---|---|---|---|---|
| Median D-dimer | 1.04 | 1.05 | 0.97 | ----------------- |
| Mean D-dimer | 3.43 | 3.38 | 3.80 | 0.70 |
| Standard Deviation | 9.34 | 9.00 | 11.80 | ----------------- |
*The test performed here is the two sample T-test with unequal variances. If we instead use a non-parametric test to account for the fact that the distributions are likely non normal then we get a Kolomogorov Smirnov p-value of 0.25, which suggests no difference between the groups. (D-dimer levels reported in mcg/mL).
Comparison of D-dimer levels in the first 48 hours of hospitalization between those with and without thrombosis who were admitted to the ICU.
| N = 400 | Overall | Patients without Clot | Patients with Clot | P-value for Difference |
|---|---|---|---|---|
| Median D-dimer | 2.39 | 2.31 | 2.91 | ----------------- |
| Mean D-dimer | 7.47 | 6.42 | 9.37 | 0.11 |
| Standard Deviation | 15.62 | 12.00 | 20.59 | ----------------- |
*The test performed here is the two sample T-test with unequal variances. If we instead use a non-parametric test to account for the fact that the distributions are likely non normal then we get a Kolomogorov Smirnov p-value of 0.21, which suggests no difference between the groups. (D-dimer levels reported in mcg/mL).