| Literature DB >> 35390553 |
Yugo Yamashita1, Sen Yachi2, Makoto Takeyama2, Yuji Nishimoto3, Ichizo Tsujino4, Junichi Nakamura4, Naoto Yamamoto5, Hiroko Nakata6, Satoshi Ikeda7, Michihisa Umetsu8, Shizu Aikawa9, Hiroya Hayashi10, Hirono Satokawa11, Yoshinori Okuno12, Eriko Iwata13, Yoshito Ogihara14, Nobutaka Ikeda15, Akane Kondo16, Takehisa Iwai17, Norikazu Yamada18, Tomohiro Ogawa19, Takao Kobayashi5, Makoto Mo20.
Abstract
INTRODUCTION: There has been limited data on the influence of sex on development of thrombosis in patients with coronavirus disease 2019 (COVID-19).Entities:
Keywords: COVID-19; Sex; Thrombosis
Mesh:
Substances:
Year: 2022 PMID: 35390553 PMCID: PMC8970622 DOI: 10.1016/j.thromres.2022.03.023
Source DB: PubMed Journal: Thromb Res ISSN: 0049-3848 Impact factor: 10.407
Patient characteristics and management strategies during hospitalization.
| Men | Women | P-value | |
|---|---|---|---|
| Baseline characteristics | |||
| Age (years) | 52 ± 16 | 53 ± 20 | 0.17 |
| Body weight (kg) | 73.9 ± 17.5 | 59.4 ± 16.6 | <0.001 |
| Body mass index (kg/m2) | 25.7 ± 5.1 | 24.4 ± 5.8 | <0.001 |
| Body mass index >30 kg/m2 | 305 (16%) | 154 (15%) | 0.52 |
| D-dimer level at admission (μg/mL) ( | 0.8 (0.5–1.3) | 0.7 (0.5–1.3) | 0.17 |
| Comorbidities | |||
| Hypertension | 616 (33%) | 258 (26%) | <0.001 |
| Diabetes mellitus | 429 (23%) | 168 (17%) | <0.001 |
| Heart disease | 187 (9.9%) | 68 (6.7%) | 0.004 |
| Respiratory disease | 187 (10%) | 111 (11%) | 0.36 |
| Active cancer | 44 (2.3%) | 16 (1.6%) | 0.18 |
| History of major bleeding | 16 (0.9%) | 12 (1.2%) | 0.37 |
| History of VTE | 11 (0.6%) | 4 (0.4%) | 0.50 |
| Severity of COVID-19 at admission | |||
| Mild | 1075 (57%) | 663 (66%) | <0.001 |
| Moderate (Need oxygen) | 638 (34%) | 289 (29%) | |
| Severe (Need mechanical ventilation/ECMO) | 172 (9.1%) | 57 (5.7%) | |
| Worst severity of COVID-19 during hospitalization | |||
| Mild | 763 (40%) | 520 (52%) | <0.001 |
| Moderate (Need oxygen) | 834 (44%) | 396 (39%) | |
| Severe (Need mechanical ventilation/ECMO) | 288 (15%) | 93 (9.2%) | |
| Pharmacological thromboprophylaxis managements | |||
| Anticoagulants | 894 (47%) | 351 (35%) | <0.001 |
| Unfractionated heparin of a prophylactic dose | 477/894 (54%) | 208/351 (59%) | 0.003 |
| Unfractionated heparin of a therapeutic dose | 123/894 (14%) | 38/351 (11%) | |
| Low-molecular-weight heparin of a prophylactic dose | 166/894 (19%) | 38/351 (11%) | |
| Low-molecular-weight heparin of a therapeutic dose | 0/894 (0%) | 0/351 (0%) | |
| Direct oral anticoagulants | 105/894 (12%) | 59/351 (17%) | |
| Warfarin | 15/894 (1.7%) | 4/351 (1.1%) | |
| Others | 8/894 (0.9%) | 4/351 (1.1%) | |
| Imaging examinations during hospitalization | |||
| Ultrasound examination of the lower extremities | 23 (1.2%) | 15 (1.5%) | 0.55 |
| Contrast-enhanced CT examination | 100 (5.3%) | 26 (2.6%) | <0.001 |
| Reasons for performing contrast-enhanced CT examination | |||
| Suspicion of VTE | 48/100 (48%) | 11/26 (42%) | 0.60 |
| Other reasons | 52/100 (52%) | 15/26 (58%) |
Categorical variables are presented as numbers and percentages, and continuous variables are presented as the mean and standard deviation or the median and interquartile range based on their distributions. Categorical variables were compared using the chi-squared test when appropriate; otherwise, Fisher's exact test was used. Continuous variables were compared using the Student's t-test or Wilcoxon's rank sum test based on distribution. Unfractionated heparin of a therapeutic dose was defined as the administration of unfractionated heparin targeting a therapeutic range referencing the APTT. Unfractionated heparin of a prophylactic dose was defined as the administration of unfractionated heparin of a fixed dose without a referencing the APTT.
VTE, venous thromboembolism; COVID-19, coronavirus disease 2019; ECMO, extracorporeal membrane oxygenation; APTT, activated partial thromboplastin time; CT, computed tomography.
Clinical outcomes during hospitalization.
| Men | Women | P-value | |
|---|---|---|---|
| Thrombosis | 47 (2.5% [1.9–3.3%]) | 8 (0.8% [0.4–1.6%]) | 0.001 |
| VTE | 33 (1.8% [1.2–2.5%]) | 6 (0.6% [0.2–1.3%]) | 0.01 |
| PE with or without DVT | 19/33 (58%) | 2/6 (33%) | – |
| DVT only | 14/33 (42%) | 4/6 (67%) | – |
| Arterial thrombotic events | 11 (0.6% [0.3–1.1%]) | 1 (0.1% [0.0–0.6%]) | 0.053 |
| Ischemic stroke | 8/11 (73%) | 1/1 (100%) | – |
| Myocardial infarction | 2/11 (18%) | 0/1 (0%) | – |
| Systemic arterial thromboembolism | 1/11 (9.1%) | 0/1 (0%) | – |
| Other thrombosis | 6 (0.3% [0.1–0.7%]) | 1 (0.1% [0.0–0.6%]) | 0.25 |
| Major bleeding | 42 (2.2% [1.6–3.0%]) | 15 (1.5% [0.9–2.5%]) | 0.17 |
| All-cause death | 109 (5.8% [4.8–6.9%]) | 49 (4.9% [3.7–6.4%]) | 0.30 |
The clinical outcomes are presented as numbers of events and percentages with the 95% confidence intervals, which were compared using the chi-squared test when appropriate; otherwise, Fisher's exact test was used as categorial variables.
VTE, venous thromboembolism; PE, pulmonary embolism; DVT, deep vein thrombosis; CI, confidence intervals.
Fig. 1Incidences of thrombosis (A), major bleeding (B) and all-cause death (C) comparing men and women according to the worst severity of COVID-19 during the hospitalization.
Patients with mild COVID-19 were defined as those who did not require oxygen, patients with moderate COVID-19 were defined as those who required oxygen, and patients with severe COVID-19 were defined as those who required mechanical ventilation or extracorporeal membrane oxygenation.
COVID-19, coronavirus disease 2019.