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©The Author(s) 2024.
World J Methodol. Sep 20, 2024; 14(3): 92983
Published online Sep 20, 2024. doi: 10.5662/wjm.v14.i3.92983
Published online Sep 20, 2024. doi: 10.5662/wjm.v14.i3.92983
Ref. | Country of study | Study design | Setting | Total COVID-19 positive patients | Total patients with pre-admission anticoagulation | Type of anticoagulant | Duration of anticoagulant | Indication for anticoagulant Use | Definition Of Severity | Mean age ± SD (yr) | Female sex proportion (%) | Diabetes proportion (%) | Hypertension proportion (%) | Pulmonary disease proportion (%) | Arrhythmia proportion (%) |
Ageno et al[28], 2021 | Italy | Retrospective observational study | Inpatient hospitalized | 4396 | 43 | DOAC or VKA | - | AF | NA | - | - | - | - | - | 56.4 |
Arachchillage et al[29], 2022 | United Kingdom | Ambispective cohort study | Inpatient hospitalized | 5883 | 963 | DOAC (rivaroxaban, apixaban, edoxaban, dabigatran, or VKA (warfarin) | - | VTE or heart disease or AF | ICU admission | - | 44.81 | 28.96 | 47.12 | 24.55 | - |
Aslan et al[55], 2021 | Turkey | Retrospective cohort study | Inpatient hospitalized | 1710 | 79 | DOAC (dabigatran, rivaroxaban, apixaban, edoxaban) | - | AF, venous thrombosis | ICU admission | 62 (52-71) | 50.5 | 27 | 42 | 6 | 5 |
Bauer et al[71], 2021 | United States | Case–control study | Hospitalized and non-hospitalized patients | 1449 | - | - | - | Admitted to the hospital/died | 54.7 ± 22.5 | 63 | 17 | 36 | 22 | - | |
Boari et al[68], 2020 | Italy | Retrospective cohort study | Inpatient hospitalized | 258 | 29 | - | - | - | NA | 71.0 ± 13.8 | 32.9 | 26 | 58.5 | 14 | - |
Brouns et al[53], 2020 | Netherlands | Retrospective case-series | Inpatient hospitalized | 101 | 18 | DOAC or VKA | - | - | - | - | - | - | - | - | - |
Buenen et al[40], 2021 | Netherlands | Cohort study | Hospitalized and non-hospitalized patients | 497 | 110 | DOAC or VKA | - | - | NA | - | 36.2 | 20.5 | 52.1 | 26 | - |
Chocron et al[41], 2021 | France | Retrospective cohort study | Inpatient hospitalized | 2878 | 382 | DOAC or VKA | - | AF, VTE | ICU admission | - | 40.3 | 30.3 | 75.3 | - | 24.8 |
Corrochano et al[30], 2022 | Spain | Retrospective observational study | Inpatient hospitalized | 1598 | 155 | VKA (warfarin or acenocoumarol), DOAC (dabigatran, rivaroxaban, apixaban or edoxaban), or heparins | - | - | ICU admission | 66.5 (17.1) | 47.1 | 20 | 50.8 | - | - |
Covino et al[42], 2021 | Italy | Retrospective observational study | Emergency department | 184 | 92 | DOAC or VKA | 1 month | AF | NA | 84 (81-87) | 50 | 18.5 | 41.8 | 17.4 | - |
Denas et al[43], 2021 | Italy | Retrospective observational study | Hospitalized and non-hospitalized patients | 4697 | 651 | VKA, NOAC (dabigatran, rivaroxaban, apixaban) or edoxaban | 6 months | AF | ICU admission | - | 45.6 | 24.1 | 87.3 | - | - |
Fauvel et al[54], 2020 | France | Retrospective observational study | Inpatient hospitalized | 1240 | 136 | VKA 47 (3.8), NOAC 78 (6.3), heparin 11 (0.9) | - | - | ICU admission and mechanical ventilation | - | - | - | - | - | - |
Flam et al[59], 2021 | Sweden | Prospective cohort study | Inpatient hospitalized | 459402 | 103703 | DOAC (dabigatran, apixaban, rivaroxaban or edoxaban) | 0–6 months [7394 (7.1%)]; 7–24 months [29012 (28.0%)]; > 24 months [67245 (64.8%)] | AF and atrial flutter | Hospital admission and ICU admission | - | - | - | - | - | - |
Fröhlich et al[31], 2021 | Germany | Retrospective cohort study | Inpatient hospitalized | 6637 | 731 | DOAC or VKA | 6 months | AF | NA | - | 50 | 25 | 93 | - | 76 |
Fumagalli et al[44], 2022 | Italy | Retrospective cohort study | Inpatient hospitalized | 176 | 91 | DOAC or VKA | - | AF | NA | - | 48.3 | 33 | 71 | 21 | 11.9 |
Gülcü et al[32], 2022 | Turkey | Retrospective cohort study | Inpatient hospitalized | 5575 | 451 | DOAC (rivaroxaban, apixaban, edoxaban, dabigatran), and VKA (warfarin) | - | - | NA | 64 (51–74) | 49.8 | 26.9 | 49.5 | 13.9 | 5.2 |
Hanif et al[33], 2020 | United States | Retrospective cohort study | Inpatient hospitalized | 58 | 33 | DOAC (rivaroxaban, apixaban, edoxaban, and dabigatran), VKA (warfarin) | - | - | NA | - | 34.5 | - | - | - | - |
Harrison et al[34], 2021 | United States | Retrospective cohort study | Inpatient hospitalized | 1027 | 132 | DOAC (rivaroxaban, apixaban, dabigatran), and VKA (warfarin) | - | - | NA | - | 52.5 | 38.7 | 74.3 | - | 21.1 |
Ho et al[45], 2021 | United States | Retrospective cohort study | Hospitalized and non-hospitalized patients | 28076 | 304 | VKA (warfarin) or DOAC (dabigatran) | Within 3 months prior to SARS-Cov-2 diagnosis | - | ICU admission | - | 51.6 | 8.3 | 7.2 | - | - |
Hozayen et al[35], 2021 | United States | Prospective cohort study | Outpatient and inpatient | 5597 | 160 | Enoxaparin, VKA (warfarin), DOAC | Within 3 months prior to SARS-Cov-2 diagnosis | - | NA | 51 ± 22 | 57.1 | 15.7 | 34.7 | 4.5 | 12 |
Iaccarino et al[72], 2021 | Italy | Cross-sectional study | Inpatient hospitalized | 2377 | 125 | DOAC | 6 months | AF, mechanic valvularreplacement, pulmonary thromboembolism prophylaxis | ICU admission | 68.2 ± 0.38 | 37.3 | 18 | 59 | - | 4.7 |
Klok et al[61], 2020 | Denmark | Retrospective cohort study | Intensive care | 184 | 17 | - | - | - | NA | - | - | - | - | - | - |
Li et al[36], 2020 | China | Ambispective cohort study | Inpatient hospitalized | 547 | 16 | - | - | - | Severe COVID-19 infection | 60 (48-69) | 49.1 | 15.1 | 30.3 | 3.1 | - |
Lodigiani et al[73], 2020 | Italy | Retrospective cohort study | Inpatient hospitalized | 388 | 33 | DOAC or VKA | - | - | ICU admission | 66 (55–75) | 32 | 22.7 | 47.2 | 9 | - |
Ménager et al[60], 2020 | France | Retrospective cohort study | Inpatient hospitalized | 82 | 9 | VKA (warfarin or acenocoumarol or fluindione) | - | - | NA | 88 (85–92) | 47.6 | 23.2 | 63.4 | - | 36.6 |
Middeldorp et al[62], 2020 | Netherlands | Retrospective cohort study | Inpatient hospitalized | 198 | 19 | - | - | AF | ICU admission | 61± 14 | 34 | - | - | - | - |
Natali et al[63], 2020 | United States | Retrospective case control study | Inpatient hospitalized | 400 | 22 | - | - | - | NA | - | - | - | - | -- | - |
Olcott et al[46], 2021 | England. | Retrospective cohort study | Inpatient hospitalized | 309 | 81 | DOAC or VKA | - | - | NA | - | 47.9 | - | - | - | - |
Parker et al[47], 2021 | United Kingdom | Retrospective cohort study | Inpatient hospitalized | 1032 | 164 | DOAC, VKA, LMWH, fondaparinux | Taking the anticoagulant for > 1 month | AF, VTE, metallic heart valve, LV thrombus | ICU admission | 71 (56–83) | 44.9 | 29.3 | 44.3 | - | - |
Philipose et al[66], 2020 | United Kingdom | Retrospective cohort study | Inpatient hospitalized | 466 | 68 | - | - | - | NA | - | - | - | 50.2 | 28.1 | - |
Reilev et al[64], 2020 | Denmark | Cohort study | Community-managed and hospitalized | 11122 | 577 | - | At least one filled prescription within 6 months prior to the test date | - | ICU admission | 48 (33–62) | 62 | 6.4 | 24 | 12 | 4.6 |
Rieder et al[37], 2022 | Multi-Country | Retrospective cohort study | Hospitalized and outpatient | 1433 | 334 | VKA or non-VKA DOAC (rivaroxaban, apixaban, edoxaban, dabigatran etexilate) | - | AF | NA | - | 39.8 | 31.2 | 86.5 | - | 25.4 |
Rivera-Caravaca et al[58], 2021 | International, HOPE COVID-19 Registry | Retrospective cohort study | Inpatient hospitalized | 1002 | 110 | DOAC or VKA | - | AF, VTE, mechanical heart valves | NA | - | 40.8 | 31.2 | 82.1 | 18.3 | - |
Rivera-Caravaca et al[38], 2021 | United States, Trinetx | Cohort study | Hospitalized and outpatient | 26006 | 13003 | DOAC (dabigatran, apixaban, rivaroxaban or edoxaban) | 1 yr | - | NA | - | 48.4 | 37.9 | 71.9 | 18.3 | 48.1 |
Rodríguez-Molinero et al[67], 2020 | Spain | Retrospective cohort study | Inpatient hospitalized | 418 | 34 | - | - | - | Need for oxygen therapy through a nonrebreather mask or mechanical ventilation | 65.4 ± 16.6 | 43.1 | 23.7 | 52 | 9.8 | 10.8 |
Rossi et al[57], 2020 | Italy | Retrospective observational study | Outpatient | 70 | 26 | DOAC (eivaroxaban, apixaban, edoxaban, dabigatran) | Regularly taken by the patient for at least 6 months | AF, pulmonary embolism, or DVT | NA | - | 50 | 25.7 | 61.4 | 15.7 | - |
Russo et al[48], 2022 | Italy | Retrospective observational study | Inpatient hospitalized | 467 | 87 | DOAC (edoxaban, dabigatran, rivaroxaban, apixaban), VKA (warafrin) | - | AF, prosthetic heart valve, venous thromboembolism | NA | - | 33.3 | 25.3 | 74 | 18.8 | - |
Ruzhentsova et al[56], 2021 | Italy | Retrospective cohort study | Outpatient | 76 | 26 | DOAC (rivaroxaban, apixaban, dabigatran) | - | - | NA | - | 56.6 | 26.3 | 77.6 | - | 36.8 |
Schiavone et al[74], 2021 | Italy | Retrospective cohort study | Inpatient hospitalized | 844 | 65 | DOAC or VKA | - | - | ICU admission | 63.4 ± 16.1 | 38.3 | 16.6 | 45.1 | 7.4 | 9.2 |
Sivaloganathan et al[49], 2020 | United Kingdom | Case-control study | Inpatient hospitalized | 180 | 31 | VKA (warfarin), DOAC (dabigatran, rivaroxaban, apixaban), or LMWH | - | - | ICU admission | - | - | - | - | - | - |
Spiegelenberg et al[50], 2021 | Netherlands | Retrospective cohort study | Inpatient hospitalized | 1154 | 190 | DOAC or VKA | - | AF, VTE, mechanical valve replacement, cardiac arrest in history, or unknown (5%) | ICU admission | - | 32.2 | 27.3 | 53.8 | 26.1 | - |
Tehrani et al[69], 2021 | Sweden | Retrospective cohort study | Inpatient hospitalized | 255 | 49 | - | - | - | NA | 66 ± 17 | 41 | 31 | 54 | 13 | - |
Togano et al[39], 2021 | Japan | Retrospective cohort study | Inpatient hospitalized | 4026 | 105 | VKA (warfarin), DOAC (dabigatran, rivaroxaban, apixaban, or edoxaban) | - | - | Mechanical ventilation/ supplemental oxygen/SPO2 ≤94% on room air/tachypnea | 52.0 (34–69) | 40.1 | 14.1 | 19 | 8.1 | - |
Tremblay et al[70], 2020 | United States | Retrospective cohort study | Hospitalized and ambulatory patients | 3772 | 241 | - | - | - | Intubation-mechanical ventilation | 56.6 (18.2) | 45.2 | - | - | 14.9 | - |
van Haaps et al[51], 2021 | Denmark | Retrospective cohort study | Inpatient hospitalized | 3006 | 445 | DOAC, VKA, LMWH | - | - | ICU admission | - | 35.1 | 37.8 | 59.5 | 8.3 | - |
Wargny et al[65], 2021 | France | Retrospective cohort study | Inpatient hospitalized | 2796 | 501 | - | - | - | NA | 69.7 ± 13.2 | 36.3 | 100 | 76.8 | 9.6 | - |
Ref. | Outcome | Adjusted estimates |
Ageno et al[28], 2021 | Mortality | Age, gender, and heparin use after admission, history of acute MI, T2D, HTN, cancer, COPD, renal function and CRP at hospital entry |
Arachchillage et al[29], 2022 | 90-day mortality, thrombosis, and ICU admission | Age, gender, BMI, antiplatelet treatment prior to admission, autoimmune disease, malignancy, hypercholesterolaemia, heart disease, T2D, smoking status, liver disease, lung disease, existing renal failure and whether renal failure was dialysis dependent |
Aslan et al[55], 2021 | In-hospital mortality | Age, male gender, T2D, ferritin, d-dimer, neutrophil, lymphocyte, creatinine, CRP, SaO2, procalcitonin, DOAC, HTN, HF, AF, CAD, COPD, systolic blood pressure and hematocrit in univariable logistic regression analysis |
Buenen et al[40], 2021 | All-cause mortality within 30 d | Age, sex, symptom duration, home medication, and comorbidities |
Covino et al[42], 2021 | All-cause in-hospital death. | Age, sex, comorbidity (categorized as CCI < 3 or CCI ≥ 3), and illness severity at admission (categorized as NEWS < 6 or NEWS ≥ 6) |
Gülcü et al[32], 2022 | In-hospital all-cause mortality | Age, gender, HTN, DM, HF, CAD, eGFR, albumin, CRP, D-dimer, hemoglobin, platelet count, LDH, and oxygen saturation variables |
Bauer et al[71], 2020 | Severity | Age and gender |
Ménager et al[60], 2020 | 7-day mortality | Age, sex, severe undernutrition, T2D, HTN, prior MI, HF, prior stroke and/or TIA, CHA2DS2-VASc score, HAS-BLED score, and eGFR |
Philipose et al[66], 2020 | Mortality | Age and gender |
Rieder et al[37], 2022 | COVID-19 related mortality | Age, gender, BMI and smoking status, the phase of disease at diagnosis, solid tumor, AF, CAD, prior MI, peripheral artery disease, HTN, cerebrovascular disease, and T2D |
Rivera-Caravaca et al[38], 2021 | Mortality and the composite of any thrombotic or thromboembolic event | Age, gender and ethnicity, all the included comorbidities |
Rodríguez-Molinero et al[67], 2020 | Mortality | Age, sex, obesity, and corticosteroids |
Russo et al[48], 2022 | Mortality | Age, arterial HTN, T2D, CAD, HF, previous stroke |
Schiavone et al[74], 2021 | Mortality | Age > 65 years, male gender, CAD, CKD, COPD, HF, OAC, PaO2/FiO2, hydroxychloroquine, tocilizumab, antivirals, heparin |
Spiegelenberg et al[50], 2021 | All-cause in hospital mortality and ICU admission | Age, sex, body mass index, active malignancy, COPD, T2D, HTN, CAD, MI, HF, non-ischaemic cardiomyopathy, previous heart surgery, electronic heart device, cerebrovascular accident, peripheral artery disease, immunosuppressive medication, no ICU policy |
Togano et al[39], 2021 | Severity (mechanical ventilation/ supplemental oxygen/SpO2 ≤ 94% on room air/tachypnea) | Age, gender, BMI, smoking, alcohol consumption, myocardial infarction/congestive heart failure, peripheral artery disease, cerebrovascular disease, dementia, paralysis, COPD, liver dysfunction, hypertension, hyperlipidemia, diabetes, obesity, leukemia, lymphoma, immunosuppression |
Tremblay et al[70], 2020 | All-cause mortality, mechanical ventilation | Age, gender, race, CCI and obesity |
van Haaps et al[51], 2021 | 21-day all-cause mortality and ICU admission | Age, gender, T2D, HTN, CKD, asthma, obesity, time in pandemic, center, chronic cardiac disease, malignancy, liver disease, dementia, organ transplant, autoimmune disorder, and rheumatic disorder |
Wargny et al[65], 2021 | Death within 28 d | Age |
Harrison et al[34], 2021 | 21-day all-cause in hospital mortality | Age, gender, and confounding variables |
Iaccarino et al[72], 2021 | Mortality, ICU admission | Age, multimorbidity (combined in the CCI score), and gender |
Hozayen et al[35], 2021 | Mortality | Age, sex, self-identified race/ethnicity (as a proxy for social, not biological risk factors), Elixhauser comorbidity score, and the presence/absence of any cardiovascular, immunological or hematological comorbidities |
Ho et al[45], 2021 | ICU admission, VTE, and mortality between date of SARS-CoV-2 diagnosis and 45 d after diagnosis | Age, sex, race/ethnicity, body mass index, CCI, HTN, T2D, and smoking history as well as the week of SARS-CoV-2 diagnosis |
Denas et al[43], 2021 | ICU admission and all-cause mortality | Age, sex, HF, HTN, cancer, T2D, history of stroke/TIA, previous bleeding, history of MI, peripheral artery disease, abnormal renal function, abnormal hepatic function, use of antiplatelet drugs, NSAIDs and statin use |
Corrochano et al[30], 2022 | All-cause mortality and ICU admission | Sex, age, CCI, and antithrombotic therapy |
Chocron et al[41], 2021 | In-hospital mortality and ICU admission | Sex, age, cardiovascular comorbidities (history of HTN, dyslipidemia, BMI, T2D, and current smoking), plasma creatinine level (µmol/L), CRP (mg/L), fraction of inspired oxygen, the degree of pulmonary lesions with ground-glass opacities and areas of consolidation, and the use of in-hospital anticoagulation (preventive low or high dose and therapeutic dose) |
- Citation: Iqbal K, Banga A, Arif TB, Rathore SS, Bhurwal A, Naqvi SKB, Mehdi M, Kumar P, Salklan MM, Iqbal A, Ahmed J, Sharma N, Lal A, Kashyap R, Bansal V, Domecq JP. Anticoagulant use before COVID-19 diagnosis prevent COVID-19 associated acute venous thromboembolism or not: A systematic review and meta-analysis. World J Methodol 2024; 14(3): 92983
- URL: https://www.wjgnet.com/2222-0682/full/v14/i3/92983.htm
- DOI: https://dx.doi.org/10.5662/wjm.v14.i3.92983