The global impact of the first Coronavirus Disease 2019 (COVID-19) pandemic wave on vascular services
Vascular and Endovascular Research Network, ; Benson, R. A.; Nandhra, S.
Show abstract
BackgroundThe Coronavirus Disease 2019 (COVID-19) pandemic is having an unprecedented impact on healthcare delivery. This international qualitative study captured the global impact on vascular patient care during the first pandemic wave. MethodsAn online structured survey was used to collect regular unit-level data regarding the modification to a wide range of vascular services and treatment pathways on a global scale. ResultsThe survey commenced on 23rd March 2020 worldwide. Over six weeks, 249 vascular units took part in 53 countries (465 individual responses). Overall, 65% of units stopped carotid surgery for anyone except patients with crescendo symptoms or offered surgery on a case-by-case basis, 25% only intervened for symptomatic aortic aneurysms cancelling all elective repairs. For patients with symptomatic peripheral arterial disease 60% of units moved to an endovascular-first strategy. For patients who had previously undergone endovascular aortic aneurysm repair, 31.8% of units stopped all postoperative surveillance. Of those units regularly engaging in multidisciplinary team meetings, 59.5% of units stopped regular meetings and 39.1% had not replaced them. Further, 20% of units did not have formal personal protective equipment (PPE) guidelines in place and 25% reported insufficient PPE availability. ConclusionsThe COVID-19 pandemic has had a major impact on vascular services worldwide. There will be a significant vascular disease burden awaiting screening and intervention after the pandemic.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Treatment of Spontaneous Subarachnoid Hemorrhage: A 20-year National Inpatient Sample Review 91%
- Applying a Random Forest Approach in Predicting Health Status in Carotid Artery Stenosis Patients 30 Days Post-Stenting 91%
- Large Core Thrombectomy: Feasibility Of Simplified Protocol In Resource-Limited Settings 91%
Similar papers in this journal
- Original Research; Quality Assessment And Comparative Analysis On The Recommendations Of Current Guidelines On Screening And Diagnosis Of Peripheral Arterial Disease; A Systematic Review 93%
- Measurement of quality of stroke care with national electronic health records: a cohort during and after the COVID-19 pandemic 90%
- Development of a resilience assessment tool for cardiac care pathways in Europe: A mixed-methods study 90%
Similar papers in this journal
- Disparities in Access to Vascular Stroke Imaging and Carotid Revascularization: A Population Study 91%
- Myocardial Infarction across COVID-19 Pandemic Phases: Insights from the Veterans Health Affairs System 91%
- Long-term Outcomes of Peripheral Artery Disease In Veterans: Analysis of the PEripheral ARtery Disease Long-term Survival Study (PEARLS) 91%
Similar papers in this journal
- Study protocol for COvid-19 Vascular sERvice (COVER) study: The impact of the COVID-19 pandemic on the provision, practice and outcomes of vascular surgery 94%
- Incidence and Risk of Post-COVID-19 Thromboembolic Disease and the Impact of Aspirin Prescription; Nationwide Observational Cohort at the US Department of Veteran Affairs 90%
- Stent For Life Initiative in Portugal: progress through years and Covid-19 Impact 90%
Similar papers in this journal
- Standardized Data Elements for Patients with Acute Pulmonary Embolism: A Consensus Report from the Pulmonary Embolism Research Collaborative 91%
- Transcatheter or Surgical Aortic Valve Replacement in Patients with Severe Aortic Stenosis and Small Aortic Annulus: A Randomized Clinical Trial 89%
- Comparison of Long-term Outcomes of Early Surgery Versus Conventional Treatment for Asymptomatic Severe Mitral Regurgitation: A Propensity Analysis 88%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.