Assessing short-term risk of ischemic stroke in relation to all prescribed medications

Abstract We examined the short-term risk of stroke associated with drugs prescribed in Norway or Sweden in a comprehensive, hypothesis-free manner using comprehensive nation-wide data. We identified 27,680 and 92,561 cases with a first ischemic stroke via the patient- and the cause-of-death register...

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Autores principales: Imre Janszky, Ioannis Vardaxis, Bo Henry Lindqvist, Jens Wilhelm Horn, Ben Michael Brumpton, Linn Beate Strand, Inger Johanne Bakken, Ingvild Vatten Alsnes, Pål Richard Romundstad, Rickard Ljung, Kenneth Jay Mukamal, Abhijit Sen
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/3122b327cdbe4fbe9827a39d51d6da19
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spelling oai:doaj.org-article:3122b327cdbe4fbe9827a39d51d6da192021-11-08T10:46:47ZAssessing short-term risk of ischemic stroke in relation to all prescribed medications10.1038/s41598-021-01115-72045-2322https://doaj.org/article/3122b327cdbe4fbe9827a39d51d6da192021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01115-7https://doaj.org/toc/2045-2322Abstract We examined the short-term risk of stroke associated with drugs prescribed in Norway or Sweden in a comprehensive, hypothesis-free manner using comprehensive nation-wide data. We identified 27,680 and 92,561 cases with a first ischemic stroke via the patient- and the cause-of-death registers in Norway (2004–2014) and Sweden (2005–2014), respectively, and linked these data to prescription databases. A case-crossover design was used that compares the drugs dispensed within 1 to 14 days before the date of ischemic stroke occurrence with those dispensed 29 to 42 days before the index event. A Bolasso approach, a version of the Lasso regression algorithm, was used to select drugs that acutely either increase or decrease the apparent risk of ischemic stroke. Application of the Bolasso regression algorithm selected 19 drugs which were associated with increased risk for ischemic stroke and 11 drugs with decreased risk in both countries. Morphine in combination with antispasmodics was associated with a particularly high risk of stroke (odds ratio 7.09, 95% confidence intervals 4.81–10.47). Several potentially intriguing associations, both within and across pharmacological classes, merit further investigation in focused, follow-up studies.Imre JanszkyIoannis VardaxisBo Henry LindqvistJens Wilhelm HornBen Michael BrumptonLinn Beate StrandInger Johanne BakkenIngvild Vatten AlsnesPål Richard RomundstadRickard LjungKenneth Jay MukamalAbhijit SenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Imre Janszky
Ioannis Vardaxis
Bo Henry Lindqvist
Jens Wilhelm Horn
Ben Michael Brumpton
Linn Beate Strand
Inger Johanne Bakken
Ingvild Vatten Alsnes
Pål Richard Romundstad
Rickard Ljung
Kenneth Jay Mukamal
Abhijit Sen
Assessing short-term risk of ischemic stroke in relation to all prescribed medications
description Abstract We examined the short-term risk of stroke associated with drugs prescribed in Norway or Sweden in a comprehensive, hypothesis-free manner using comprehensive nation-wide data. We identified 27,680 and 92,561 cases with a first ischemic stroke via the patient- and the cause-of-death registers in Norway (2004–2014) and Sweden (2005–2014), respectively, and linked these data to prescription databases. A case-crossover design was used that compares the drugs dispensed within 1 to 14 days before the date of ischemic stroke occurrence with those dispensed 29 to 42 days before the index event. A Bolasso approach, a version of the Lasso regression algorithm, was used to select drugs that acutely either increase or decrease the apparent risk of ischemic stroke. Application of the Bolasso regression algorithm selected 19 drugs which were associated with increased risk for ischemic stroke and 11 drugs with decreased risk in both countries. Morphine in combination with antispasmodics was associated with a particularly high risk of stroke (odds ratio 7.09, 95% confidence intervals 4.81–10.47). Several potentially intriguing associations, both within and across pharmacological classes, merit further investigation in focused, follow-up studies.
format article
author Imre Janszky
Ioannis Vardaxis
Bo Henry Lindqvist
Jens Wilhelm Horn
Ben Michael Brumpton
Linn Beate Strand
Inger Johanne Bakken
Ingvild Vatten Alsnes
Pål Richard Romundstad
Rickard Ljung
Kenneth Jay Mukamal
Abhijit Sen
author_facet Imre Janszky
Ioannis Vardaxis
Bo Henry Lindqvist
Jens Wilhelm Horn
Ben Michael Brumpton
Linn Beate Strand
Inger Johanne Bakken
Ingvild Vatten Alsnes
Pål Richard Romundstad
Rickard Ljung
Kenneth Jay Mukamal
Abhijit Sen
author_sort Imre Janszky
title Assessing short-term risk of ischemic stroke in relation to all prescribed medications
title_short Assessing short-term risk of ischemic stroke in relation to all prescribed medications
title_full Assessing short-term risk of ischemic stroke in relation to all prescribed medications
title_fullStr Assessing short-term risk of ischemic stroke in relation to all prescribed medications
title_full_unstemmed Assessing short-term risk of ischemic stroke in relation to all prescribed medications
title_sort assessing short-term risk of ischemic stroke in relation to all prescribed medications
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/3122b327cdbe4fbe9827a39d51d6da19
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