| Literature DB >> 35452788 |
Rafael de Athayde Soares1, Aline Yoshimi Futigami2, Anndya Gonçalves Barbosa2, Roberto Sacilotto2.
Abstract
BACKGROUND: To determine the impact of coronavirus (COVID-19) infection in patients with acute limb ischemia (ALI), mainly the limb salvage estimates the rate and the overall survival rate.Entities:
Mesh:
Year: 2022 PMID: 35452788 PMCID: PMC9020509 DOI: 10.1016/j.avsg.2022.04.006
Source DB: PubMed Journal: Ann Vasc Surg ISSN: 0890-5096 Impact factor: 1.607
Patient characteristics
| Variable | Total ( | Group non-COVID-19 infection ( | Group COVID-19 infection ( | |
|---|---|---|---|---|
| Age, years | 69.17 ± 11.96 | 69.85 ± 8.3 | 70.48 ± 7.2 | 0.73 |
| Females | 37 (51.4%) | 25 (51%) | 12 (52.2%) | 0.45 |
| Hypertension | 55 (76.4%) | 38 (77.6%) | 17 (73.9%) | 0.57 |
| Diabetes | 25 (34.7%) | 20 (40.8%) | 5 (21.7%) | 0.08 |
| Ischemic Heart disease | 14 (19.4%) | 11 (22.4%) | 3 (13%) | 0.54 |
| Chronic renal failure | 10 (13.8%) | 7 (14.6%) | 3 (13.04%) | 0.58 |
| Arrhythmias | 11 (15.2%) | 9 (18.4%) | 2 (8.7%) | 0.03 |
| Tobacco use | 26 (36.1%) | 17 (34.7%) | 9 (39.1%) | 0.72 |
| D-Dimer | 1,156 | 689 | 1,520 | 0.04 |
| CPK | 980 | 580 | 1,239 | 0.03 |
CPK, creatinophosphokinase.
Patient's treatment data
| Variable | Total ( | Group non–COVID-19 infection ( | Group COVID-19 infection ( | |
|---|---|---|---|---|
| ABI pre | 0.25 | 0.35 | 0.05 | 0.03 |
| ABI post | 0.8 | 0.9 | 0.87 | 0.14 |
| Rutherford class | ||||
| I | 22 (30.5%) | 19 (38.8%) | 3 (13%) | 0.02 |
| IIa | 20 (27.7%) | 17 (34.7%) | 3 (13%) | 0.03 |
| IIb | 30 (41.6%) | 13 (26.5%) | 17 (73.9%) | 0.01 |
| Segment occluded | ||||
| Aortoiliac | 16 (22.2%) | 13 (27.1%) | 3 (13%) | 0.08 |
| Femoropopliteal | 49 (68.05%) | 29 (60.4%) | 20 (87%) | 0.36 |
| Infrapopliteal | 14 (19.4%) | 7 (14.2%) | 7 (30.4%) | 0.07 |
| Causes of ALI | ||||
| Thromboembolism | 28 (38.8%) | 16 (33.3%) | 12 (52.2%) | 0.38 |
| Cardiac origin | 20 (27.7%) | 13 (26.5%) | 7 (30.4%) | 0.38 |
| Aorta thrombi | 8 (11.1%) | 3 (6.1%) | 5 (21.7%) | 0.04 |
| Arterial thrombosis | 42 (58.3%) | 31 (63%) | 11 (47.8%) | 0.78 |
| Angioplasty occlusion | 2 (2.77%) | 2 (3.7%) | 0 | 0.04 |
| Overall Mortality | 15 (20.8%) | 8 (16.7%) | 7 (30.4%) | 0.04 |
ABI, ankle brachial index.
Patient's COVID-19 infection data
| Variable | Total = 23 patients |
|---|---|
| RT-PCR test positive | 11 (47.8%) |
| IgM positive serology | 15 (65.2%) |
| IgG positive serology | 11 (47.8%) |
| Respiratory symptoms | 4 (17.4%) |
| Chest-CT pulmonary | |
| Normal | 8 (34.8%) |
| Less than 50% | 14 (60.9%) |
| More than 50% | 1 (4.3%) |
| Acute kidney failure | 3 (13%) |
| Anticoagulation usage | 23 (100%) |
| Type of anticoagulation | |
| Enoxaparin | 15 (65.3%) |
| Unfractionated heparin | 7 (30.4%) |
| Rivaroxaban | 1 (4.3%) |
| Dexamethasone usage | 6 (26.1%) |
| D-dimer > 1000 mg/dL | 11 (47.8%) |
Surgical and endovascular procedures for limb salvage
| Variable | Total ( | Group non-COVID-19 infection ( | Group COVID-19 infection ( | |
|---|---|---|---|---|
| Endovascular procedure | 62 (86.1%) | 49 (100%) | 13 (56.5%) | 0.035 |
| Bypass surgery | 4 (5.55%) | 0 | 4 (17.3%) | 0.035 |
| Femorofemoral | 1 (1.38%) | 0 | 1 (4.34%) | 0.035 |
| Aortofemoral bypass | 3 (4.16%) | 0 | 3 (13.04%) | |
| Thromboembolectomy | 6 (8.3%) | 0 | 6 (26%) | 0.035 |
| PMT Cycles >150 | 17 (23.6%) | 11 (22.4%) | 6 (26%) | 0.84 |
| Fasciotomy | 6 (8.3%) | 3 (6.1%) | 3 (13.04%) | 0.10 |
Logistic regression analysis of factors associated with Limb Loss
| Variable | Univariate analysis | Multivariate analysis | ||||||
|---|---|---|---|---|---|---|---|---|
| B | HR | 95% CI | B | HR | 95% CI | |||
| Rutherford classification | 0.988 | 0.065 | 0.330–2.760 | 0.931 | 0.597 | 0.065 | 0.226–10.060 | 0.880 |
| D-dimer > 1000 mg/dL | 1.805 | 3.76 | 1.85–5.89 | 0.038 | 1.805 | 3.76 | 1.85–5.89 | 0.038 |
| Chronic kidney disease | 2.392 | 3.40 | 2.45–11.1 | 0.890 | 1.532 | 3.40 | 1.45–11.1 | 0.890 |
| Diabetes | 0.346 | 0.56 | 1.341–1.372 | 0.349 | 0.664 | 1.220 | 1.311–14.294 | 0.349 |
| COVID infection | 2.147 | 1.385 | 1.03–4.75 | 0.035 | 2.147 | 1.385 | 1.03–4.75 | 0.035 |
| PMT >150 | 1.285 | 0.987 | 1.87–20.90 | 0.89 | 1.897 | 0.890 | 1.98–5.69 | 0.89 |
| Type of surgery | 2.256 | 1.878 | 1.98–3.45 | 0.98 | 2.256 | 1.878 | 1.84–3.56 | 0.98 |
Logistic regression analysis of factors associated with mortality rate
| Variable | Univariate analysis | Multivariate analysis | ||||||
|---|---|---|---|---|---|---|---|---|
| B | HR | 95% CI | B | HR | 95% CI | |||
| Rutherford classification | 0.988 | 0.065 | 0.330–2.760 | 0.931 | 0.597 | 0.065 | 0.226–10.060 | 0.880 |
| D-dimer > 1000 mg/dL | 1.805 | 2.28 | 1.94–6.52 | 0.027 | 1.805 | 2.28 | 10.49–26.52 | 0.027 |
| Chronic kidney disease | 1.382 | 2.30 | 1.45–9.10 | 0.790 | 1.332 | 2.40 | 1.35–10.1 | 0.700 |
| Diabetes | 0.445 | 0.36 | 1.312–3.372 | 0.359 | 0.564 | 0.36 | 1.312–4.294 | 0.359 |
| COVID infection | 1.147 | 1.80 | 1.03–4.75 | 0.018 | 1.147 | 1.80 | 1.03–4.75 | 0.018 |
| PMT >150 | 1.385 | 2.01 | 1.005–6.781 | 0.002 | 1.385 | 2.01 | 1.005–6.781 | 0.002 |
| Type of surgery | 1.456 | 4.56 | 1.980–5.689 | 0.87 | 1.789 | 4.56 | 1.890–5.895 | 0.87 |