Impact of the first COVID-19 pandemic peak and lockdown on the interventional management of carotid artery stenosis in France

The impact of the first and the second wave of the COVID-19 pandemic on vascular surgery practice in the leading regional center: a comparative, retrospective study

BACKGROUND

We conducted an analysis of the vascular surgery regional center reorganization in response to the first and the second wave of the coronavirus disease-2019 (COVID-19) pandemic to see what lessons we learned from the first wave.

METHODS

The study included a total of 632 patients admitted to the vascular surgery department in three periods: March-May 2020, October-December 2020, and October-December 2019 as a control period.

RESULTS

In the pandemic periods the number of admitted patients decreased in relation to the control period. There was a reduction in performed procedures. We observed an increase in the ratio of less invasive procedures. There was a significant decline in hospitalization time in comparison to the control period.

CONCLUSIONS

The reduction of scheduled admissions and procedures affected vascular centers all over the world. Minimally invasive procedures were more willingly performed to shorten the hospitalization time and reduce the patient's exposure to hospital infection. It allowed us to treat more patients during the second wave. Nevertheless, an increased number of vascular patients should be expected in the future, which will result from the failure to perform elective procedures during the pandemic.

Quality in stroke care during the early phases of the COVID-19 pandemic: A nationwide study

Introduction:

Evidence-based early stroke care as reflected by fulfillment of process performance measures, is strongly related to better patient outcomes after stroke and transient ischemic attack (TIA). Detailed data on the resilience of stroke care services during the COVID-19 pandemic are limited. We aimed to examine the quality of early stroke care at Danish hospitals during the early phases of the COVID-19 pandemic.

Materials and methods:

We extracted data from Danish national health registries in five time periods (11 March, 2020–27 January, 2021) and compared these to a baseline pre-pandemic period (13 March, 2019–10 March, 2020). Quality of early stroke care was assessed as fulfilment of individual process performance measures and as a composite measure (opportunity-based score).

Results:

A total of 23,054 patients were admitted with stroke and 8153 with a TIA diagnosis in the entire period. On a national level, the opportunity-based score (95% confidence interval [CI]) at baseline for ischemic patients was 81.1% (80.8–81.4), for intracerebral hemorrhage (ICH) 85.5% (84.3–86.6), and for TIA 96.0% (95.3–96.1). An increase of 1.1% (0.1–2.2) and 1.5% (0.3–2.7) in the opportunity-based score was observed during the first national lockdown period for AIS and TIA followed by a decline of −1.3% (−2.2 to −0.4) in the gradual reopening phase for AIS indicators. We found a significant negative association between regional incidence rates and quality-of-care in ischemic stroke patients implying that quality decreases when admission rates increase.

Conclusion:

The quality of acute stroke/TIA care in Denmark remained high during the early phases of the pandemic and only minor fluctuations occurred.

Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report

The SARS-CoV-2 virus has caused a pandemic, infecting nearly 80 million people worldwide, with mortality exceeding six million. The average survival span is just 14 days from the time the symptoms become aggressive. The present study delineates the deep-driven vascular damage in the pulmonary, renal, coronary, and carotid vessels due to SARS-CoV-2. This special report addresses an important gap in the literature in understanding (i) the pathophysiology of vascular damage and the role of medical imaging in the visualization of the damage caused by SARS-CoV-2, and (ii) further understanding the severity of COVID-19 using artificial intelligence (AI)-based tissue characterization (TC). PRISMA was used to select 296 studies for AI-based TC. Radiological imaging techniques such as magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound were selected for imaging of the vasculature infected by COVID-19. Four kinds of hypotheses are presented for showing the vascular damage in radiological images due to COVID-19. Three kinds of AI models, namely, machine learning, deep learning, and transfer learning, are used for TC. Further, the study presents recommendations for improving AI-based architectures for vascular studies. We conclude that the process of vascular damage due to COVID-19 has similarities across vessel types, even though it results in multi-organ dysfunction. Although the mortality rate is ~2% of those infected, the long-term effect of COVID-19 needs monitoring to avoid deaths. AI seems to be penetrating the health care industry at warp speed, and we expect to see an emerging role in patient care, reduce the mortality and morbidity rate.