| Literature DB >> 33988823 |
Cheng Qian1, Xiao Lyu2, Hai-Dong Zhu2, Yi Zhang2, Rui-Jie Du2, Rui Li2, Gao-Jun Teng3, Jian-Ping Gu4.
Abstract
Impact of pandemic on the incidence of venous thromboembolism (VTE) in non-COVID-19 patients is undetermined. Thus, a nationwide multicenter retrospective survey was conducted to evaluate the disease burden in non-COVID-19 population. This multi-center survey involved 94 hospitals from 24 provinces in the mainland of China, and collected data on non-COVID-19 patients admitted to the radiology departments due to VTE between January 24 and April 16, 2020. Baseline characteristics, VTE risk factors, clinical manifestations and the treatments were compared with those in the same period of 2019. 3,358 patients with VTE from 74 hospitals were included in this study (1,458 in 2020, 1,900 in 2019). Most aged ≥ 50 years (80.6% in the pandemic, 81.2% in 2019). The number of patients aged 30-39 years increased from 3.9% in 2019 period to 5.8% in the pandemic (p = 0.009). Among the VTE risk factors, the rate of decreased activity increased significantly in the pandemic, and was much higher than that in 2019 (30.7% vs 22.6%, p < 0.0001). Under the risk of decreased activity, patients with comorbidities chronic diseases, especially diabetes, showed significantly a higher incidence of VTE (30.4% vs 22.0%, p < 0.0001). In the pandemic period, fewer patients were treated with anticoagulation alone (33.5% vs 36.7%, p = 0.05), and more underwent inferior vena cava filter (IVCF) implantation, compared with those in 2019 (66.5% vs 63.2%, p = 0.046). The pandemic increased the VTE risk of decreased activity among the non-COVID-19 population. Patients with comorbidities, especially diabetes, have a significant higher risk of VTE during the pandemic.Entities:
Keywords: Coronavirus disease 2019; Decreased activity; Non-COVID-19 population; Risk factors; Venous thromboembolism
Mesh:
Year: 2021 PMID: 33988823 PMCID: PMC8120766 DOI: 10.1007/s11239-021-02442-2
Source DB: PubMed Journal: J Thromb Thrombolysis ISSN: 0929-5305 Impact factor: 2.300
Fig. 1Flow diagram
Baseline characteristics of patients with venous thromboembolism in the pandemic period and in the same period of 2019
| Pandemic (n = 1,458) | 2019 (n = 1900) | ||
|---|---|---|---|
| Male, n (%) | 745 (51.1) | 915 (48.2) | 0.091 |
| Age(years), median (IQR) | 64 (53–72) | 64 (53–73) | 0.258 |
| Chronic comorbidities | |||
| Hypertension, n (%) | 495 (34.0) | 659 (34.7) | 0.657 |
| Diabetes, n (%) | 266 (18.2) | 292 (15.4) | 0.026* |
| Coronary artery disease, n (%) | 178 (12.2) | 195 (10.3) | 0.075 |
| Stroke, n (%) | 168 (11.5) | 200 (10.5) | 0.360 |
| Others | 172 (11.8) | 206 (10.8) | 0.386 |
| Number of chronic diseases | 0.637 | ||
| 0, n (%) | 734(50.3) | 976 (51.4) | |
| 1, n (%) | 380 (26.1) | 502 (26.4) | |
| ≥ 2, n (%) | 344 (23.6) | 422 (22.2) | |
| Risk factors | |||
| Decreased activity, n (%)a | 448 (30.7) | 430 (22.6) | < 0.001 |
| Active cancer, n (%) | 200 (13.7) | 278 (14.7) | 0.427 |
| Trauma, n (%)b | 168 (11.5) | 249 (13.1) | 0.168 |
| Surgery, n (%)c | 123 (8.4) | 214 (11.3) | 0.007 |
| Immobilization, n (%)d | 124 (8.5) | 144 (7.6) | 0.326 |
| Previous VTE, n (%) | 95 (6.5) | 103 (5.4) | 0.182 |
| Pregnancy or puerperium, n (%) | 24 (1.6) | 31 (1.6) | 0.974 |
| Autoimmune diseases, n (%) | 12 (0.8) | 17 (0.9) | 0.824 |
| Hematological diseases, n (%) | 19 (1.3) | 31 (1.6) | 0.436 |
| Travel > 6 h, n (%) | 7 (0.5) | 8 (0.4) | 0.799 |
| Others or none, n (%)e | 352 (24.1) | 515 (27.1) | 0.052 |
| ≥ Two risk factors, n (%) | 81 (5.6) | 77 (4.1) | 0.041 |
IQR interquartile range, VTE venous thromboembolism
aDecreased activity (greater time spent sitting or lying down, and physical activity time less than half of the usual ≥ 3 days)
bRecent trauma without surgery
cRecent surgery performed in the prior 2 months (including trauma, abdominal, genitourinary, orthopedic, cardiac, vascular, or neurological surgery)
dImmobilization for at least 7 days for any non-surgical reason in the prior one month (associated or not with medical conditions, or non-operable fractures)
eOther risk factors including hormonal therapy, fat and chronic lung disease
Fig. 2Proportion of the patients with venous thromboembolism (VTE) in each age range. *p < 0.05. Patients aged 30–39 years showed a higher VTE rate (5.8%) in the pandemic period than that in 2019 period (3.9%)
Characteristics of venous thromboembolism in the pandemic period and in the same period of 2019
| Pandemic | 2019 | ||
|---|---|---|---|
| Clinical manifestations | 0.686 | ||
| Limb symptoms alone, n (%) | 1297 (89.0) | 1672 (88.0) | |
| Non-limb symptoms alone, n (%) | 137 (9.4) | 195 (10.3) | |
| Both, n (%) | 24 (1.6) | 33 (1.7) | |
| VTE | 0.737 | ||
| Only DVT, n (%) | 1142 (78.3) | 1494 (78.6) | |
| Only PE, n (%) | 26 (1.8) | 40 (2.1) | |
| DVT and PE, n (%) | 290 (19.9) | 366 (19.3) | |
| Treatment | |||
| Anticoagulation alone, n (%) | 488 (33.5) | 698 (36.7) | 0.050 |
| IVCF implantation, n (%) | 970 (66.5) | 1201 (63.2) | 0.046 |
| Additional IR therapy, n (%) | 643 (44.1) | 797 (41.9) | 0.211 |
| Short-outcome on discharge | 0.252 | ||
| Remission, n (%) | 1403 (96.2) | 1835 (96.6) | |
| Unremission, n (%) | 47 (3.2) | 48 (2.5) | |
| Death, n (%) | 8 (0.5) | 17 (0.9) |
VTE venous thromboembolism, DVT deep venous thrombosis, PE pulmonary embolism, IVCF inferior vena cava filter, IR interventional radiology