Dataset Information

Impact of the lockdown on acute stroke treatments during the first surge of the COVID-19 outbreak in the Netherlands.

ABSTRACT:

Introduction

We investigated the impact of the Corona Virus Disease 2019 (COVID-19) pandemic and the resulting lockdown on reperfusion treatments and door-to-treatment times during the first surge in Dutch comprehensive stroke centers. Furthermore, we studied the association between COVID-19-status and treatment times.

Methods

We included all patients receiving reperfusion treatment in 17 Dutch stroke centers from May 11th, 2017, until May 11th, 2020. We collected baseline characteristics, National Institutes of Health Stroke Scale (NIHSS) at admission, onset-to-door time (ODT), door-to-needle time (DNT), door-to-groin time (DGT) and COVID-19-status at admission. Parameters during the lockdown (March 15th, 2020 until May 11th, 2020) were compared with those in the same period in 2019, and between groups stratified by COVID-19-status. We used nationwide data and extrapolated our findings to the increasing trend of EVT numbers since May 2017.

Results

A decline of 14% was seen in reperfusion treatments during lockdown, with a decline in both IVT and EVT delivery. DGT increased by 12 min (50 to 62 min, p-value of < 0.001). Furthermore, median NIHSS-scores were higher in COVID-19 - suspected or positive patients (7 to 11, p-value of 0.004), door-to-treatment times did not differ significantly when stratified for COVID-19-status.

Conclusions

During the first surge of the COVID-19 pandemic, a decline in acute reperfusion treatments and a delay in DGT was seen, which indicates a target for attention. It also appeared that COVID-19-positive or -suspected patients had more severe neurologic symptoms, whereas their EVT-workflow was not affected.

SUBMITTER: Benali F

PROVIDER: S-EPMC8749107 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature

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Publications

Impact of the lockdown on acute stroke treatments during the first surge of the COVID-19 outbreak in the Netherlands.

Benali Faysal F Stolze Lotte J LJ Rozeman Anouk D AD Dinkelaar Wouter W Coutinho Jonathan M JM Emmer Bart J BJ Gons Rob A R RAR Yo Lonneke F S LFS van Tuijl Julia H JH Boukrab Issam I van Dam-Nolen Dianne H K DHK van den Wijngaard Ido R IR Lycklama À Nijeholt Geert J GJ de Laat Karlijn F KF van Dijk Lukas C LC den Hertog Heleen M HM Flach H Zwenneke HZ Wermer Marieke J H MJH van Walderveen Marianne A A MAA Brouwers Paul J A M PJAM Bulut Tomas T Vermeer Sarah E SE Bernsen Marie Louise E MLE Uyttenboogaart Maarten M Bokkers Reinoud P H RPH Boogaarts Jeroen D JD de Leeuw Frank-Erik FE van der Worp H Bart HB van der Schaaf Irene C IC Schonewille Wouter J WJ Vos Jan A JA Remmers Michel J M MJM Imani Farshad F Dippel Diederik W J DWJ van Zwam Wim H WH Nederkoorn Paul J PJ van Oostenbrugge Robert J RJ

BMC neurology 20220111 1

<h4>Introduction</h4>We investigated the impact of the Corona Virus Disease 2019 (COVID-19) pandemic and the resulting lockdown on reperfusion treatments and door-to-treatment times during the first surge in Dutch comprehensive stroke centers. Furthermore, we studied the association between COVID-19-status and treatment times.<h4>Methods</h4>We included all patients receiving reperfusion treatment in 17 Dutch stroke centers from May 11th, 2017, until May 11th, 2020. We collected baseline charact ...[more]

PMID: 35016635

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Project description:Stringent lockdown measures implemented in Italy to mitigate the spread of COVID-19 are generating unprecedented economic impacts. However, the environmental consequences associated with the temporary shutdown and recovery of industrial and commercial activities are still not fully understood. Using the well-known carbon footprint (CF) indicator, this paper provides a comprehensive estimation of environmental effects due to the COVID-19 outbreak lockdown measures in Italy. Our aim was to quantify the CF associated with the consumption of energy by any economic activity and region in Italy during the lockdown, and then compare these environmental burdens with the CF calculated for analogous periods from 2015 to 2019 (~March and April). Complementarily, we also conducted a scenario analysis to estimate the post-lockdown CF impact in Italy. A consumption-based approach was applied according to the principles of the established Life Cycle Assessment method. The CF was therefore quantified as a sum of direct and indirect greenhouse gases (GHGs) released from domestically produced and imported energy metabolism flows, excluding the exports. Our findings indicate that the CF in the lockdown period is ~-20% lower than the mean CF calculated for the past. This means avoided GHGs in between ~5.6 and ~10.6 Mt CO2e. Results further suggest that a tendency occurs towards higher impact savings in the Northern regions, on average ~230 kt CO2e of GHGs avoided by province (against ~110-130 kt CO2e in central and Southern provinces). Not surprisingly, these are the utmost industrialized areas of Italy and have been the ones mostly affected by the outbreak. Despite our CF estimates are not free of uncertainties, our research offers quantitative insights to start understanding the magnitude generated by such an exceptional lockdown event in Italy on climate change, and to complement current scientific efforts investigating the relationships between air pollution and the spread of COVID-19.

Dataset Information

Impact of the lockdown on acute stroke treatments during the first surge of the COVID-19 outbreak in the Netherlands.

Introduction

Methods

Results

Conclusions

Publications

Impact of the lockdown on acute stroke treatments during the first surge of the COVID-19 outbreak in the Netherlands.

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