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DID THE STROKE CODE IN MADRID JAM DURING THE FIRST WAVE OF COVID-19?
European Stroke Journal ; 7(1 SUPPL):541-542, 2022.
Article in English | EMBASE | ID: covidwho-1928120
ABSTRACT
Background and

aims:

Madrid was one of the epicentres of the COVID-19 pandemic in Spain. The entire healthcare system was severely affected by the first wave of the pandemic. We aimed to assess the extent to which the acute stroke care chain was impacted.

Methods:

Using the stroke code (SC) cohort of SUMMA 112 (the main emergency medical service in the region), we compared all patients in the first wave of the pandemic and in the same period of the previous year. Subsequently, we collected all anonymized records from the main hospital administrative database (minimum basic data set at hospital discharge). We used ambulance response times, concordance between pre-hospital and hospital diagnosis, hospital times, and mortality to evaluate the SC protocol. The study was approved by the Ethics Committee of the Community of Madrid.

Results:

966 SC were analysed (514 pre-pandemic and 452 during the first wave). Pre-hospital attention times were longer (39 vs. 35 minutes), patients stayed longer in the emergency room before admission (7.5 vs. 6.1 hours), the concordance between pre-hospital and in-hospital diagnostic suspicion did not change significantly (86% vs. 89%) and mortality decreased (9% vs 13%) during the first wave of the pandemic

Conclusions:

During the first wave of the pandemic, there were delays in care, especially in the on-scene time. Improvements in training might have prevented it. The high qualification of pre-hospital teams enabled them to maintain their diagnostic accuracy. The reduction in mortality needs further exploration.
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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: European Stroke Journal Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: European Stroke Journal Year: 2022 Document Type: Article