| Literature DB >> 33836228 |
Jonathan Bath1, Faisal Aziz2, Matthew R Smeds3.
Abstract
INTRODUCTION: The novel coronavirus SARS-CoV-2 (COVID-19) has spread rapidly since it was identified. We sought to understand its effects on vascular surgery practices stratified by VASCON surgical readiness level and determine how these effects have changed during the course of the pandemic.Entities:
Year: 2021 PMID: 33836228 PMCID: PMC8023786 DOI: 10.1016/j.avsg.2021.03.002
Source DB: PubMed Journal: Ann Vasc Surg ISSN: 0890-5096 Impact factor: 1.466
| Type of surgical activity | VASCON Level |
|---|---|
| Evidence based surgical practice | 5 |
| Limitations on nonemergency surgery | 4 |
| Severe limitations on nonemergency surgery | 3 |
| Emergency surgery only | 2 |
| No surgical activity | 1 |
| Demographic | Early pandemic ( | Late pandemic ( | |
|---|---|---|---|
| Gender | |||
| Male | 156 (76%) | 81 (75%) | 0.4679 |
| Female | 48 (23%) | 24 (22%) | |
| Prefer not answering | 2 (1%) | 2 (3%) | |
| Age | |||
| <35 | 8 (4%) | 3 (3%) | 0.1256 |
| 35–40 | 56 (27%) | 28 (26%) | |
| 40–45 | 48 (23%) | 17 (16%) | |
| 45–50 | 29 (14%) | 26 (24%) | |
| 50–55 | 31 (15%) | 12 (11%) | |
| 55–60 | 18 (9%) | 8 (7%) | |
| >60 | 14 (7%) | 14 (13%) | |
| Prefer not answering | 2 (1%) | 0 (0%) | |
| Academic affiliation | 174 (84%) | 92 (85%) | 1.0 |
Fig. 1Comparison of VASCON levels between EP and LP timepoints as well as the lowest VASCON level the LP group a
| Practice characteristics | Early pandemic | Late pandemic | |
|---|---|---|---|
| Institution specific questions | |||
| My institution has handled the pandemic well | 148 (72%) | 86 (80%) | 0.1725 |
| Vascular patients with emergent issues are not being handled in a safe/quick manner | 21 (10%) | 9 (8%) | 0.6887 |
| I feel pressure to capture delayed cases | 148 (72%) | 86 (80%) | 0.1725 |
| Personal protective equipment (PPE) usage | |||
| At work, i have easy access to PPE | 163 (79%) | 102 (94%) | |
| At work, i have easy access to N95 masks | 130 (63%) | 90 (83%) | |
| Once the covid19 pandemic is over, I will wear a mask for all patient care encounters | 36 (18%) | 25 (23%) | 0.2332 |
| Once the covid19 pandemic is over, I will wear a mask for all patients with cough/fever | 123 (60%) | 74 (69%) | 0.1411 |
| Practice changes | |||
| Limiting of elective cases | 201 (98%) | 21 (19%) | |
| Limiting of urgent cases | 65 (32%) | 6 (6%) | |
| Limiting of emergent cases | 10 (5%) | 4 (4%) | 0.778 |
| Increased telehealth visits | 186 (90%) | 70 (65%) | |
| Lengthening of call periods | 90 (44%) | 5 (5%) | |
| Staying at home if no clinical duties | 176 (85%) | 33 (31%) | |
| Providing surgical care you otherwise wouldn't | 23 (11%) | 1 (1%) | |
| Providing critical care you otherwise wouldn't | 25 (12%) | 4 (4%) | |
| Providing nonsurgical/non-ICU care for COVID positive patients | 23 (11%) | 2 (2%) | |
| Decrease in referrals | |||
| Clinic referrals | 175 (85%) | 46 (43%) | |
| Inpatient hospital consults (acute) | 134 (65%) | 21 (19%) | |
| Emergency room consults (acute) | 127 (62%) | 18 (17%) | |
| Inpatient hospital consults (chronic) | 148 (72%) | 20 (19%) | |
| Emergency room consults (chronic) | 162 (79%) | 21 (19%) | |
Fig. 2
| Practice effects | Currently affecting | Previously affecting | Total affected |
|---|---|---|---|
| Allowing NO patient guests | 33 (31%) | 73 (68%) | 106 (98%) |
| Limiting patient guests | 88 (81%) | 15 (14%) | 103 (95%) |
| Temperature screening of employees | 79 (73%) | 11 (10%) | 90 (83%) |
| Requiring facemasks for all patient care | 103 (95%) | 2 (2%) | 105 (97%) |
| Requiring facemasks for all in-person encounters | 99 (92%) | 4 (4%) | 103 (95%) |
| Non-essential staff working from home intermittently | 83 (77%) | 20 (19%) | 103 (95%) |
| Furloughing of staff | 35 (32%) | 37 (34%) | 72 (67%) |
| Social distancing – plexiglass separators | 93 (86%) | 1 (1%) | 94 (87%) |
| Social distancing – chair/seating configurations | 107 (99%) | 0 (0%) | 107 (99%) |
| Delaying of cases due to COVID-19 | Early pandemic ( | Late pandemic ( | |
|---|---|---|---|
| Peripheral arterial disease | |||
| Claudication | 204 (99%) | 31 (29%) | |
| Rest pain | 105 (51%) | 4 (4%) | |
| Tissue loss | 26 (13%) | 1 (1%) | |
| Carotid artery disease | |||
| Severe stenosis (asymptomatic) | 199 (97%) | 22 (20%) | |
| Severe stenosis with TIA/stroke | 10 (5%) | 2 (1%) | 0.2303 |
| Aneurysmal disease | |||
| Asymptomatic AAA 5.5–6.5 cm | 179 (87%) | 14 (13%) | |
| Asymptomatic AAA > 6.5% | 68 (33%) | 3 (3%) | |
| Asymptomatic thoracic aortic aneurysm 6–7 cm | 141 (68%) | 8 (7%) | |
| Asymptomatic thoracic aortic aneurysm > 7 cm | 55 (27%) | 5 (5%) | |
| Thoracic outlet syndrome with DVT | 88 (43%) | 10 (9%) | |
| Chronic mesenteric ischemia | 139 (67%) | 9 (8%) | |
| Dialysis access/ESRD | |||
| In need of access (>3 months) | 187 (91%) | 11 (10%) | |
| In need of access (<3 months) | 127 (62%) | 6 (6%) | |
| In need of access with functioning catheter | 157 (76%) | 5 (5%) | |
| Malfunctioning access | 27 (13%) | 4 (4%) | |
| COVID-19 patients with thromboembolic events treated | Respondents | Number of cases treated | |
|---|---|---|---|
| Acute mesenteric ischemia | 28 (26%) | 1–5 cases | 24 |
| >5 cases | 4 | ||
| Acute carotid occlusion/stroke | 34 (31%) | 1–5 cases | 27 |
| >5 cases | 7 | ||
| Pulmonary embolism | 47 (44%) | 1–5 cases | 21 |
| >5 cases | 26 | ||
| Dialysis related thrombus | 55 (51%) | 1–5 cases | 25 |
| >5 cases | 30 | ||
| Acute limb ischemia | 76 (70%) | 1–5 cases | 45 |
| >5 cases | 31 | ||
| Acute deep venous thrombosis (DVT) | 76 (70%) | 1–5 cases | 28 |
| >5 cases | 47 | ||