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This is a retrospective analytical study conducted at Vascular and Endovascular surgery Department, Mansoura University Hospital, including all patients admitted at the two periods first six months of 2019 and 2020.To demonstrate the effect of COVID-19 pandemic on the practice of emergency vascular surgery and critical limb threatening ischemia interventions by comparison two periods first six months of 2019 and 2020.
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INTRODUCTION:
The novel coronavirus pneumonia (COVID-19) pandemic has affected the globe, with Italy leading many reports of the incidence and mortalities. Recently reported studies have described the clinical characteristics and overall outcomes of patients with COVID-19 and the effects of treating these patients on the healthcare system.Two studies have reported associated coagulopathy disorders. These reports have highlighted the presence of a coexisting hypercoagulable state in patients with COVID-19, which might be associated with higher mortality.
The COVID-19 pandemic has had many impacts, both seen and unforeseen, all over the world. As expected, elective endovascular procedures have been halted, with a significant decrease in urgent/emergent procedures. This could reflect an understandable unwillingness on the part of patients who continue to self-isolate at home to come in for treatments, including those with Critical limb threatening ischemia. Also impacts on the supply chain side of performing interventions, had been reported, it is challenging to be in the middle of a complex CLTI (Critical limb threatening ischemia) case and request a routine device only to find out it is unavailable.
Aim of the work Evaluation the impact of COVID-19 pandemic on emergency vascular practice and critical limb ischemia.
Outcome
Primary outcomes:
Secondary outcomes:
• Mortality rates
Patients and methods Study location: The study will be conducted at the department of vascular surgery in Mansoura university hospitals Type of study: Observational analytical study Study duration: 2019-2020 Sample size: It will include all patients presented to our department at the first 6 months of 2019 and first 6 months of 2020. sample size will be 140-400 patients Inclusion criteria: all patients admitted to our department at that periods Exclusion criteria
Data collection:
Statistical analysis
· The data will be analyzed using Statistical Package for the Social Sciences. The numerical outcomes e.g. age is calculated as median. Gender will be recorded as frequency and percentage. Chi Square test is applied to assess the association of various parameters. The results will be considered statistically significant if the p-value is found to be less than or equal to 0.05. To assess possible risk factors for mortality, univariate analyses will be completed initially to aid in determining the variables that should be included in a stepwise logistic regression model.
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998 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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