How SARS-CoV-2 is forcing us to reconsider and reorganize our daily neurosurgical practice

Chibbaro, Salvatore; Ganau, Mario; Todeschi, Julien; Proust, F.; Cébula, H.

doi:10.1016/j.neuchi.2020.05.001

Cited by 11 publications

(10 citation statements)

References 8 publications

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“…Furthermore, patients who need surgery have been avoiding admission to hospitals or have been delaying their treatment as much as possible because they are afraid of being infected by SARS-CoV-2. 1 , 2 , 3 , 24 , 61 , 62 …”

Section: Discussionmentioning

confidence: 99%

“…The logistic function curve fits well with the pace of the pandemic over time, both with an early exponential rise and an eventual flattening as the population gains herd immunity. 13 , 23 , 24 , 25 ( Fig. 1 ) Pierre François Verhulst (1804–1849), a Belgian mathematician, studied the law of population growth and showed that its curve increases with a convex curvature and then continues to increase towards a limit but with a concave curvature.…”

Section: Introductionmentioning

confidence: 99%

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A simple mathematical tool to forecast COVID-19 cumulative case numbers

Balak¹,

İnan²,

Ganau³

et al. 2021

Clinical Epidemiology and Global Health

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Objective Mathematical models are known to help determine potential intervention strategies by providing an approximate idea of the transmission dynamics of infectious diseases. To develop proper responses, not only are more accurate disease spread models needed, but also those that are easy to use. Materials and methods As of July 1, 2020, we selected the 20 countries with the highest numbers of COVID-19 cases in the world. Using the Verhulst–Pearl logistic function formula, we calculated estimates for the total number of cases for each country. We compared these estimates to the actual figures given by the WHO on the same dates. Finally, the formula was tested for longer-term reliability at t = 18 and t = 40 weeks. Results The Verhulst–Pearl logistic function formula estimated the actual numbers precisely, with only a 0.5% discrepancy on average for the first month. For all countries in the study and the world at large, the estimates for the 40th week were usually overestimated, although the estimates for some countries were still relatively close to the actual numbers in the forecasting long term. The estimated number for the world in general was about 8 times that actually observed for the long term. Conclusions The Verhulst–Pearl equation has the advantage of being very straightforward and applicable in clinical use for predicting the demand on hospitals in the short term of 4–6 weeks, which is usually enough time to reschedule elective procedures and free beds for new waves of the pandemic patients.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A simple mathematical tool to forecast COVID-19 cumulative case numbers

Balak¹,

İnan²,

Ganau³

et al. 2021

Clinical Epidemiology and Global Health

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show abstract

“…Operative volume dropped more than 50% as reported by Walter et al around the world [ 10 ]. We rescheduled surgery for degenerative spine, non-urgent brain tumour, and unruptured aneurysm like our colleagues in Strasbourg [ 4 ]. We have organized teleconsultation for the most vulnerable patients.…”

Section: Introductionmentioning

confidence: 99%

Decreased number of deaths related to severe traumatic brain injury in intensive care unit during the first lockdown in Normandy: at least one positive side effect of the COVID-19 pandemic

et al. 2021

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Background The COVID-19 pandemic has led to severe containment measures to protect the population in France. The first lockdown modified daily living and could have led to a decrease in the frequency of severe traumatic brain injury (TBI). In the present study, we compared the frequency and severity of severe TBI before and during the first containment in Normandy. Methods We included all patients admitted in the intensive care unit (ICU) for severe TBI in the two tertiary neurosurgical trauma centres of Normandy during the first lockdown. The year before the containment served as control. The primary outcome was the number of patients admitted per week in ICU. We compared the demographic characteristics, TBI mechanisms, CT scan, surgical procedure, and mortality rate. Results The incidence of admissions for severe TBI in Normandy decreased by 33% during the containment. The aetiology of TBI significantly changed during the containment: there were less traffic road accidents and more TBI related to alcohol consumption. Patients with severe TBI during the containment had a better prognosis according to the impact score ( p =0.04). We observed a significant decrease in the rate of short-term mortality related to severe TBI during the period of lockdown ( p =0.02). Conclusions Containment related to the COVID-19 pandemic has resulted in a modification of the mechanisms of severe TBI in Normandy, which was associated with a decline in the rate of short-term death in intensive unit care.

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“… Similar to the decline of the pandemic phase and developing a strategy in contrast with vaccination. [ 30 , 35 , 36 , 37 ] India Regular practice without any additional changes Patients should be evaluated as healthy patients and managed up to seven days (requiring treatment within a month). Precautions were taking a significant risk of aerosol during intubation and endoscopy.…”

Section: Discussionmentioning

confidence: 99%

Impact of COVID-19 pandemic on the management of glioma patients around the world. An evidence-based review

Azab

Azzam

2021

Brain Disorders

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Background The coronavirus pandemic has affected many health care services worldwide since the emergence of the first case in Wuhan. Surgical neuro-oncology care is a fundamental part of hospital services, making it susceptible to strategic changes amid the COVID-19 pandemic. Methods An electronic search on several databases (PubMed/Medline, Scopus, and Google Scholar) from the beginning of the pandemic to the end of 2020, each paper was reviewed independently. The publication inclusion and exclusion criteria were done using Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. Results Eight studies were found to be eligible for our meta-analysis. Most of the studies were on a retrospective basis, except one which was retrospective and prospective. An overall of 951 glioma patients’ were included for surgical admission from the beginning of the pandemic until 2020. Seventy-four patients' had mortality outcomes, and 250 patients had complications for both surgical admitted and non-surgical admitted purposes. Conclusions To our knowledge, we made the first systematic review and meta-analysis regarding the management of glioma patients’ during the pandemic of COVID-19. Our main findings are that the number of surgical admissions for glioma patients’ did not significantly differ between COVID-19 negative and COVD-19 positive cases; however, surprisingly, we found that both overall complications and mortality outcomes were more significant COVID-19 negative patients’ from the reported studies.

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How SARS-CoV-2 is forcing us to reconsider and reorganize our daily neurosurgical practice

Cited by 11 publications

References 8 publications

A simple mathematical tool to forecast COVID-19 cumulative case numbers

A simple mathematical tool to forecast COVID-19 cumulative case numbers

Decreased number of deaths related to severe traumatic brain injury in intensive care unit during the first lockdown in Normandy: at least one positive side effect of the COVID-19 pandemic

Impact of COVID-19 pandemic on the management of glioma patients around the world. An evidence-based review

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